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| dataset_id | dataset_asset_h5ad_uri | dataset_version_id | dataset_h5ad_path | dataset_title | citation | collection_id | collection_name | collection_doi | collection_doi_label | asset_h5ad_filesize | cell_count | mean_genes_per_cell | schema_version | dataset_total_cell_count | soma_joinid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| f12ab0e6-383c-4362-b1c6-922de09ccbc9 | https://datasets.cellxgene.cziscience.com/e092fcfd-0ec0-4109-bcff-146d03da850b.h5ad | e092fcfd-0ec0-4109-bcff-146d03da850b | /mnt/scratch/spatial_soma/source_h5ad/e092fcfd-0ec0-4109-bcff-146d03da850b.h5ad | HTAPP-812-SMP-8239 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/e092fcfd-0ec0-4109-bcff-146d03da850b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 62758989 | 10957 | 159.851784247513 | 5.2.0 | 0 | -1 | |
| e2824739-ea79-4efd-9434-3bec079b55d3 | https://datasets.cellxgene.cziscience.com/cb27eb27-e4d8-4009-91a7-dcd4a9bec90b.h5ad | cb27eb27-e4d8-4009-91a7-dcd4a9bec90b | /mnt/scratch/spatial_soma/source_h5ad/cb27eb27-e4d8-4009-91a7-dcd4a9bec90b.h5ad | HTAPP-364-SMP-1321 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/cb27eb27-e4d8-4009-91a7-dcd4a9bec90b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 21624080 | 2958 | 114.3471940500338 | 5.2.0 | 0 | -1 | |
| e06e9bf3-81ef-434d-bc86-08ec1266b155 | https://datasets.cellxgene.cziscience.com/a20bdcca-a595-4e04-b969-0eb6fb3f49ee.h5ad | a20bdcca-a595-4e04-b969-0eb6fb3f49ee | /mnt/scratch/spatial_soma/source_h5ad/a20bdcca-a595-4e04-b969-0eb6fb3f49ee.h5ad | HTAPP-944-SMP-7479 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/a20bdcca-a595-4e04-b969-0eb6fb3f49ee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 38565383 | 9422 | 382.5367225642114 | 5.2.0 | 0 | -1 | |
| aa6f371d-dacd-47e7-a774-e2f4495604a2 | https://datasets.cellxgene.cziscience.com/2a11a9f4-f96c-493b-9f1c-65d09d42ffd5.h5ad | 2a11a9f4-f96c-493b-9f1c-65d09d42ffd5 | /mnt/scratch/spatial_soma/source_h5ad/2a11a9f4-f96c-493b-9f1c-65d09d42ffd5.h5ad | HTAPP-895-SMP-7359 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/2a11a9f4-f96c-493b-9f1c-65d09d42ffd5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 21610295 | 6210 | 375.50531400966184 | 5.2.0 | 0 | -1 | |
| a6347c54-9e69-45e4-b1db-f5d84aa8321a | https://datasets.cellxgene.cziscience.com/7b822f51-ce85-4273-9671-3a6b4b8e4434.h5ad | 7b822f51-ce85-4273-9671-3a6b4b8e4434 | /mnt/scratch/spatial_soma/source_h5ad/7b822f51-ce85-4273-9671-3a6b4b8e4434.h5ad | HTAPP-313-SMP-932 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/7b822f51-ce85-4273-9671-3a6b4b8e4434.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 62327603 | 11484 | 177.8949843260188 | 5.2.0 | 0 | -1 | |
| 9c5f68fc-860f-414b-99c2-cc6be691aff3 | https://datasets.cellxgene.cziscience.com/d97315e9-9fad-4512-8d10-a8f52b2bd7fb.h5ad | d97315e9-9fad-4512-8d10-a8f52b2bd7fb | /mnt/scratch/spatial_soma/source_h5ad/d97315e9-9fad-4512-8d10-a8f52b2bd7fb.h5ad | HTAPP-330-SMP-1082 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/d97315e9-9fad-4512-8d10-a8f52b2bd7fb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 38148106 | 11851 | 151.307990886845 | 5.2.0 | 0 | -1 | |
| 9237e573-980a-4be6-b028-0f01cc064956 | https://datasets.cellxgene.cziscience.com/18790adb-2b01-442f-a4bb-5484725f1e7a.h5ad | 18790adb-2b01-442f-a4bb-5484725f1e7a | /mnt/scratch/spatial_soma/source_h5ad/18790adb-2b01-442f-a4bb-5484725f1e7a.h5ad | HTAPP-997-SMP-7789 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/18790adb-2b01-442f-a4bb-5484725f1e7a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 47465231 | 10892 | 181.80398457583547 | 5.2.0 | 0 | -1 | |
| 7432b873-1e96-4a8a-b97b-8921937f4afe | https://datasets.cellxgene.cziscience.com/cb85d932-3109-4377-b45e-ead575b04d43.h5ad | cb85d932-3109-4377-b45e-ead575b04d43 | /mnt/scratch/spatial_soma/source_h5ad/cb85d932-3109-4377-b45e-ead575b04d43.h5ad | HTAPP-917-SMP-4531 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/cb85d932-3109-4377-b45e-ead575b04d43.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 33720514 | 8715 | 216.74320137693633 | 5.2.0 | 0 | -1 | |
| 71e44b30-83b6-455c-a161-bc04c9898f00 | https://datasets.cellxgene.cziscience.com/63947866-efc8-480e-8afe-ca0e82eb0733.h5ad | 63947866-efc8-480e-8afe-ca0e82eb0733 | /mnt/scratch/spatial_soma/source_h5ad/63947866-efc8-480e-8afe-ca0e82eb0733.h5ad | HTAPP-853-SMP-4381 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/63947866-efc8-480e-8afe-ca0e82eb0733.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 49173488 | 11430 | 200.40069991251093 | 5.2.0 | 0 | -1 | |
| 6384d8b8-8511-4ffb-b543-26dc8dd5967a | https://datasets.cellxgene.cziscience.com/b018f7b4-cc5a-46c1-8ceb-43a61efde844.h5ad | b018f7b4-cc5a-46c1-8ceb-43a61efde844 | /mnt/scratch/spatial_soma/source_h5ad/b018f7b4-cc5a-46c1-8ceb-43a61efde844.h5ad | HTAPP-880-SMP-7179 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/b018f7b4-cc5a-46c1-8ceb-43a61efde844.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 50317388 | 22188 | 154.52330088336038 | 5.2.0 | 0 | -1 | |
| 59d14a35-0c86-4eee-90b7-fe59595f522c | https://datasets.cellxgene.cziscience.com/c5d3c3e3-8fa2-4d7c-a35c-6d176e60a6da.h5ad | c5d3c3e3-8fa2-4d7c-a35c-6d176e60a6da | /mnt/scratch/spatial_soma/source_h5ad/c5d3c3e3-8fa2-4d7c-a35c-6d176e60a6da.h5ad | HTAPP-783-SMP-4081 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/c5d3c3e3-8fa2-4d7c-a35c-6d176e60a6da.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 33222273 | 5833 | 109.4731698954226 | 5.2.0 | 0 | -1 | |
| 48b55b2b-c6a3-4288-a09e-e01e5078c678 | https://datasets.cellxgene.cziscience.com/54ea2bbe-1c63-44d6-8aed-ed68df208850.h5ad | 54ea2bbe-1c63-44d6-8aed-ed68df208850 | /mnt/scratch/spatial_soma/source_h5ad/54ea2bbe-1c63-44d6-8aed-ed68df208850.h5ad | HTAPP-213-SMP-6752 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/54ea2bbe-1c63-44d6-8aed-ed68df208850.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 67012015 | 9362 | 157.97917111728262 | 5.2.0 | 0 | -1 | |
| 1637e817-d091-4793-a3af-796ef57e2668 | https://datasets.cellxgene.cziscience.com/db4b5e64-71bd-4ed8-8ec9-21471194485b.h5ad | db4b5e64-71bd-4ed8-8ec9-21471194485b | /mnt/scratch/spatial_soma/source_h5ad/db4b5e64-71bd-4ed8-8ec9-21471194485b.h5ad | HTAPP-982-SMP-7629 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/db4b5e64-71bd-4ed8-8ec9-21471194485b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 26987745 | 8086 | 242.77801137768984 | 5.2.0 | 0 | -1 | |
| 0f9d1892-919a-4f51-8b95-0b50750da1e6 | https://datasets.cellxgene.cziscience.com/bbb948de-63b9-41de-ae9a-c4b539ad8b31.h5ad | bbb948de-63b9-41de-ae9a-c4b539ad8b31 | /mnt/scratch/spatial_soma/source_h5ad/bbb948de-63b9-41de-ae9a-c4b539ad8b31.h5ad | HTAPP-514-SMP-6760 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/bbb948de-63b9-41de-ae9a-c4b539ad8b31.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 145442258 | 33272 | 245.3776148112527 | 5.2.0 | 0 | -1 | |
| 02aa7750-ed05-4eca-8061-766c68a81a22 | https://datasets.cellxgene.cziscience.com/7fc3bec0-6f00-47ad-8a02-b2ca92188b19.h5ad | 7fc3bec0-6f00-47ad-8a02-b2ca92188b19 | /mnt/scratch/spatial_soma/source_h5ad/7fc3bec0-6f00-47ad-8a02-b2ca92188b19.h5ad | HTAPP-878-SMP-7149 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/7fc3bec0-6f00-47ad-8a02-b2ca92188b19.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 66518822 | 22033 | 126.67925384650297 | 5.2.0 | 0 | -1 | |
| b2005457-dede-4434-a9c3-dbe41fcd542e | https://datasets.cellxgene.cziscience.com/cb46feff-d5bd-41e6-91c5-ce4daddc066e.h5ad | cb46feff-d5bd-41e6-91c5-ce4daddc066e | /mnt/scratch/spatial_soma/source_h5ad/cb46feff-d5bd-41e6-91c5-ce4daddc066e.h5ad | slide-seqV2 analysis of aorta | Publication: https://doi.org/10.1101/2024.09.10.612293 Dataset Version: https://datasets.cellxgene.cziscience.com/cb46feff-d5bd-41e6-91c5-ce4daddc066e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8f17ac63-aaba-44b5-9b78-60f121da4c2f | 8f17ac63-aaba-44b5-9b78-60f121da4c2f | A Coding and Non-Coding Atlas of the Human Arterial Cell | 10.1101/2024.09.10.612293 | Zhao et al. (2024) bioRxiv | 9814874 | 6142 | 138.03223705633343 | 5.2.0 | 0 | -1 | |
| 56ce05c9-72f0-47ce-ab6d-f18711cf1be8 | https://datasets.cellxgene.cziscience.com/281f1647-eb1f-44db-9d34-01faf8d45ffe.h5ad | 281f1647-eb1f-44db-9d34-01faf8d45ffe | /mnt/scratch/spatial_soma/source_h5ad/281f1647-eb1f-44db-9d34-01faf8d45ffe.h5ad | slide-seqV2 analysis of right coronary artery | Publication: https://doi.org/10.1101/2024.09.10.612293 Dataset Version: https://datasets.cellxgene.cziscience.com/281f1647-eb1f-44db-9d34-01faf8d45ffe.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8f17ac63-aaba-44b5-9b78-60f121da4c2f | 8f17ac63-aaba-44b5-9b78-60f121da4c2f | A Coding and Non-Coding Atlas of the Human Arterial Cell | 10.1101/2024.09.10.612293 | Zhao et al. (2024) bioRxiv | 19441012 | 12744 | 193.48108913998743 | 5.2.0 | 0 | -1 | |
| fb5b437f-69b8-47ee-82ed-b5e784193d64 | https://datasets.cellxgene.cziscience.com/b0a457a6-5542-40e1-8e93-385ff98afc8d.h5ad | b0a457a6-5542-40e1-8e93-385ff98afc8d | /mnt/scratch/spatial_soma/source_h5ad/b0a457a6-5542-40e1-8e93-385ff98afc8d.h5ad | Normal Lymph Node Puck_201014_06 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/b0a457a6-5542-40e1-8e93-385ff98afc8d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 22767870 | 26027 | 307.44242517385794 | 5.2.0 | 0 | -1 | |
| f339fe89-c99c-4f50-b76d-2ffe9d376500 | https://datasets.cellxgene.cziscience.com/4a074e6d-b5b4-43d2-b5dc-d00dc37128a1.h5ad | 4a074e6d-b5b4-43d2-b5dc-d00dc37128a1 | /mnt/scratch/spatial_soma/source_h5ad/4a074e6d-b5b4-43d2-b5dc-d00dc37128a1.h5ad | Renal cell carcinoma, pre aPD1, kidney Puck_200727_13 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/4a074e6d-b5b4-43d2-b5dc-d00dc37128a1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 17925869 | 20021 | 300.2033364966785 | 5.2.0 | 0 | -1 | |
| dcb7c544-bf18-4f9a-97a4-aa816910d862 | https://datasets.cellxgene.cziscience.com/62a08d13-7ff9-46ec-a77c-5278eefc5a19.h5ad | 62a08d13-7ff9-46ec-a77c-5278eefc5a19 | /mnt/scratch/spatial_soma/source_h5ad/62a08d13-7ff9-46ec-a77c-5278eefc5a19.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220408_07 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/62a08d13-7ff9-46ec-a77c-5278eefc5a19.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 39517891 | 40982 | 309.02264408764825 | 5.2.0 | 0 | -1 | |
| d4dc4cfe-7da5-4e56-bf96-83f01082f5df | https://datasets.cellxgene.cziscience.com/566c77da-caac-4cd0-a74a-3b23cf7d1323.h5ad | 566c77da-caac-4cd0-a74a-3b23cf7d1323 | /mnt/scratch/spatial_soma/source_h5ad/566c77da-caac-4cd0-a74a-3b23cf7d1323.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220215_14 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/566c77da-caac-4cd0-a74a-3b23cf7d1323.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 41071569 | 36785 | 362.6880250101944 | 5.2.0 | 0 | -1 | |
| cc43509e-8729-4cbc-ace9-f0f7d654ee53 | https://datasets.cellxgene.cziscience.com/52e48e6c-a0d2-4a3d-ad16-1570c397929c.h5ad | 52e48e6c-a0d2-4a3d-ad16-1570c397929c | /mnt/scratch/spatial_soma/source_h5ad/52e48e6c-a0d2-4a3d-ad16-1570c397929c.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_200727_10 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/52e48e6c-a0d2-4a3d-ad16-1570c397929c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 18835654 | 15366 | 415.1127163868281 | 5.2.0 | 0 | -1 | |
| c62ac8e5-72d1-48d1-8bb5-9e66fd2b1e19 | https://datasets.cellxgene.cziscience.com/6a01686c-f4d6-4fa0-b255-da0dcfcd1804.h5ad | 6a01686c-f4d6-4fa0-b255-da0dcfcd1804 | /mnt/scratch/spatial_soma/source_h5ad/6a01686c-f4d6-4fa0-b255-da0dcfcd1804.h5ad | Normal Spleen OT1 Puck_200727_02 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/6a01686c-f4d6-4fa0-b255-da0dcfcd1804.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 10777462 | 11510 | 288.92667245873156 | 5.2.0 | 0 | -1 | |
| b3052902-613c-4b04-a0f5-bafd397bb125 | https://datasets.cellxgene.cziscience.com/2a9beab1-7feb-4b07-811b-f8e429f0d6b1.h5ad | 2a9beab1-7feb-4b07-811b-f8e429f0d6b1 | /mnt/scratch/spatial_soma/source_h5ad/2a9beab1-7feb-4b07-811b-f8e429f0d6b1.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220408_12 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/2a9beab1-7feb-4b07-811b-f8e429f0d6b1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 32161793 | 37193 | 265.2022961309924 | 5.2.0 | 0 | -1 | |
| ae4552dc-e2ea-4d67-b375-03ec7480f780 | https://datasets.cellxgene.cziscience.com/bd7a9706-e537-43bf-ab25-754550df3aa5.h5ad | bd7a9706-e537-43bf-ab25-754550df3aa5 | /mnt/scratch/spatial_soma/source_h5ad/bd7a9706-e537-43bf-ab25-754550df3aa5.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220408_09 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/bd7a9706-e537-43bf-ab25-754550df3aa5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 33335383 | 37275 | 280.1065861837693 | 5.2.0 | 0 | -1 | |
| 9b1437bb-42fe-47d8-8962-835d95581763 | https://datasets.cellxgene.cziscience.com/9b84d002-a939-406e-99ed-ed35979aef1c.h5ad | 9b84d002-a939-406e-99ed-ed35979aef1c | /mnt/scratch/spatial_soma/source_h5ad/9b84d002-a939-406e-99ed-ed35979aef1c.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_200727_09 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/9b84d002-a939-406e-99ed-ed35979aef1c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 15055963 | 14990 | 322.4350233488993 | 5.2.0 | 0 | -1 | |
| 89972213-8510-49c3-a55a-01cd248ef88a | https://datasets.cellxgene.cziscience.com/19a9b03d-5534-42e8-8b89-c508935c661c.h5ad | 19a9b03d-5534-42e8-8b89-c508935c661c | /mnt/scratch/spatial_soma/source_h5ad/19a9b03d-5534-42e8-8b89-c508935c661c.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220215_13 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/19a9b03d-5534-42e8-8b89-c508935c661c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 29206192 | 27757 | 329.012825593544 | 5.2.0 | 0 | -1 | |
| 76bb43ff-e2f5-4513-a0f0-1059c860c3b7 | https://datasets.cellxgene.cziscience.com/23faf7da-1792-4069-b20c-a035fd301698.h5ad | 23faf7da-1792-4069-b20c-a035fd301698 | /mnt/scratch/spatial_soma/source_h5ad/23faf7da-1792-4069-b20c-a035fd301698.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220408_08 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/23faf7da-1792-4069-b20c-a035fd301698.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 11505366 | 19034 | 127.49028055059368 | 5.2.0 | 0 | -1 | |
| 6d243918-f3f6-4a9e-b72e-39d96de73095 | https://datasets.cellxgene.cziscience.com/70899125-f279-449b-8a80-c2ce52f518e4.h5ad | 70899125-f279-449b-8a80-c2ce52f518e4 | /mnt/scratch/spatial_soma/source_h5ad/70899125-f279-449b-8a80-c2ce52f518e4.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_200727_08 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/70899125-f279-449b-8a80-c2ce52f518e4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 20802055 | 18851 | 380.3645429950666 | 5.2.0 | 0 | -1 | |
| 50c4a6d6-940b-4c6a-a376-aea2ae2d3168 | https://datasets.cellxgene.cziscience.com/34494d50-70cc-4514-af9d-546a4e6d5236.h5ad | 34494d50-70cc-4514-af9d-546a4e6d5236 | /mnt/scratch/spatial_soma/source_h5ad/34494d50-70cc-4514-af9d-546a4e6d5236.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220215_11 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/34494d50-70cc-4514-af9d-546a4e6d5236.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 20953006 | 21003 | 291.63971813550444 | 5.2.0 | 0 | -1 | |
| 4aefec71-da4e-48ec-a910-c542b5807c7d | https://datasets.cellxgene.cziscience.com/20a80421-84f6-410f-b4c8-96aa2515fa64.h5ad | 20a80421-84f6-410f-b4c8-96aa2515fa64 | /mnt/scratch/spatial_soma/source_h5ad/20a80421-84f6-410f-b4c8-96aa2515fa64.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_220408_14 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/20a80421-84f6-410f-b4c8-96aa2515fa64.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 28329757 | 37568 | 217.0359880749574 | 5.2.0 | 0 | -1 | |
| 32ffc3a7-c88d-49e1-894f-8e09d0184ee9 | https://datasets.cellxgene.cziscience.com/428cddbd-6041-491c-bcb2-e10169ac61cb.h5ad | 428cddbd-6041-491c-bcb2-e10169ac61cb | /mnt/scratch/spatial_soma/source_h5ad/428cddbd-6041-491c-bcb2-e10169ac61cb.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_220408_13 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/428cddbd-6041-491c-bcb2-e10169ac61cb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 26318119 | 40217 | 179.86319218241042 | 5.2.0 | 0 | -1 | |
| 18fd0190-229d-4d2b-8f28-1e40c49c750d | https://datasets.cellxgene.cziscience.com/d5262dad-641f-4152-ace8-158966134b01.h5ad | d5262dad-641f-4152-ace8-158966134b01 | /mnt/scratch/spatial_soma/source_h5ad/d5262dad-641f-4152-ace8-158966134b01.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_220408_20 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/d5262dad-641f-4152-ace8-158966134b01.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 29761432 | 37563 | 232.56457151984665 | 5.2.0 | 0 | -1 | |
| 16101789-b95d-4b05-bd76-75ae837a557b | https://datasets.cellxgene.cziscience.com/9a9e7428-9397-409c-a699-7eb6f95923ab.h5ad | 9a9e7428-9397-409c-a699-7eb6f95923ab | /mnt/scratch/spatial_soma/source_h5ad/9a9e7428-9397-409c-a699-7eb6f95923ab.h5ad | Normal Tonsil Puck_210119_22 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/9a9e7428-9397-409c-a699-7eb6f95923ab.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 17092958 | 26917 | 201.59690901660662 | 5.2.0 | 0 | -1 | |
| 07efa1c3-7649-43d8-b798-e26a0145ee65 | https://datasets.cellxgene.cziscience.com/20bb0094-2b6b-4459-995a-0766b5510bd6.h5ad | 20bb0094-2b6b-4459-995a-0766b5510bd6 | /mnt/scratch/spatial_soma/source_h5ad/20bb0094-2b6b-4459-995a-0766b5510bd6.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_220408_15 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/20bb0094-2b6b-4459-995a-0766b5510bd6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 28573145 | 35839 | 236.18178520606043 | 5.2.0 | 0 | -1 | |
| 02faf712-92d4-4589-bec7-13105059cf86 | https://datasets.cellxgene.cziscience.com/be671006-d1c3-43e0-8c75-899824a6f0e2.h5ad | be671006-d1c3-43e0-8c75-899824a6f0e2 | /mnt/scratch/spatial_soma/source_h5ad/be671006-d1c3-43e0-8c75-899824a6f0e2.h5ad | Renal cell carcinoma, pre aPD1, kidney Puck_200727_12 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/be671006-d1c3-43e0-8c75-899824a6f0e2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 14706576 | 17612 | 266.4578128548717 | 5.2.0 | 0 | -1 | |
| fe70db78-88b8-4bf7-8449-7aa177d51978 | https://datasets.cellxgene.cziscience.com/25167967-ba95-4423-9008-49499ec92aff.h5ad | 25167967-ba95-4423-9008-49499ec92aff | /mnt/scratch/spatial_soma/source_h5ad/25167967-ba95-4423-9008-49499ec92aff.h5ad | E9.0: Puck_220718_36 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/25167967-ba95-4423-9008-49499ec92aff.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 14158088 | 3374 | 425.44190871369295 | 5.2.0 | 0 | -1 | |
| fbe47774-3427-44c6-9c93-c11700c5f6b8 | https://datasets.cellxgene.cziscience.com/1fa2515e-fbff-4bf3-a724-185b0838dbfa.h5ad | 1fa2515e-fbff-4bf3-a724-185b0838dbfa | /mnt/scratch/spatial_soma/source_h5ad/1fa2515e-fbff-4bf3-a724-185b0838dbfa.h5ad | E9.0: Puck_220718_03 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/1fa2515e-fbff-4bf3-a724-185b0838dbfa.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 16172416 | 2477 | 758.8518368994752 | 5.2.0 | 0 | -1 | |
| fa76879f-8af0-439d-a4af-bf9660b98293 | https://datasets.cellxgene.cziscience.com/2561ca47-52de-4187-a4b4-49f4a18ffb39.h5ad | 2561ca47-52de-4187-a4b4-49f4a18ffb39 | /mnt/scratch/spatial_soma/source_h5ad/2561ca47-52de-4187-a4b4-49f4a18ffb39.h5ad | E8.5_rep1: 201104_19 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/2561ca47-52de-4187-a4b4-49f4a18ffb39.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 54800622 | 6780 | 1593.679646017699 | 5.2.0 | 0 | -1 | |
| f10b80d2-836c-48b4-8839-96aabb8262c1 | https://datasets.cellxgene.cziscience.com/79cdf339-f637-4b3f-88a2-f9e549d8e827.h5ad | 79cdf339-f637-4b3f-88a2-f9e549d8e827 | /mnt/scratch/spatial_soma/source_h5ad/79cdf339-f637-4b3f-88a2-f9e549d8e827.h5ad | E9.0: Puck_220718_38 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/79cdf339-f637-4b3f-88a2-f9e549d8e827.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 22034447 | 5779 | 544.5049316490743 | 5.2.0 | 0 | -1 | |
| ef962681-c4a1-4e7c-b43e-a58a67d3a115 | https://datasets.cellxgene.cziscience.com/69e879da-fff2-4ec1-8e4f-2d7b7cfde1ad.h5ad | 69e879da-fff2-4ec1-8e4f-2d7b7cfde1ad | /mnt/scratch/spatial_soma/source_h5ad/69e879da-fff2-4ec1-8e4f-2d7b7cfde1ad.h5ad | E8.5_rep1: 201104_07 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/69e879da-fff2-4ec1-8e4f-2d7b7cfde1ad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 39177964 | 6562 | 1057.9580920451083 | 5.2.0 | 0 | -1 | |
| ee0b378d-d327-4c7d-baa6-28f062767c61 | https://datasets.cellxgene.cziscience.com/fb33254b-dc6b-4880-8ae5-08074d007539.h5ad | fb33254b-dc6b-4880-8ae5-08074d007539 | /mnt/scratch/spatial_soma/source_h5ad/fb33254b-dc6b-4880-8ae5-08074d007539.h5ad | E9.5: 201104_33 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/fb33254b-dc6b-4880-8ae5-08074d007539.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 121531196 | 18297 | 1374.8399191124229 | 5.2.0 | 0 | -1 | |
| ed4abbae-72c4-430e-b8a9-954c2f92ac73 | https://datasets.cellxgene.cziscience.com/db4c5dad-5e75-4121-82c6-784a39c26a32.h5ad | db4c5dad-5e75-4121-82c6-784a39c26a32 | /mnt/scratch/spatial_soma/source_h5ad/db4c5dad-5e75-4121-82c6-784a39c26a32.h5ad | E8.5_rep1: 201104_29 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/db4c5dad-5e75-4121-82c6-784a39c26a32.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 30767895 | 4166 | 1216.5187229956794 | 5.2.0 | 0 | -1 | |
| ec88a0a8-73f3-4625-8c26-aa2a8f65ae02 | https://datasets.cellxgene.cziscience.com/d6c0ab26-ecdf-473f-8cfb-fe486e6bd436.h5ad | d6c0ab26-ecdf-473f-8cfb-fe486e6bd436 | /mnt/scratch/spatial_soma/source_h5ad/d6c0ab26-ecdf-473f-8cfb-fe486e6bd436.h5ad | E8.5_rep2: Puck_220815_30 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d6c0ab26-ecdf-473f-8cfb-fe486e6bd436.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 28164605 | 4723 | 942.8850307008257 | 5.2.0 | 0 | -1 | |
| eb16bcf7-9c67-4ecf-989f-34d8ca71cb61 | https://datasets.cellxgene.cziscience.com/42261d4d-721d-4795-8c1b-c162c92f53bc.h5ad | 42261d4d-721d-4795-8c1b-c162c92f53bc | /mnt/scratch/spatial_soma/source_h5ad/42261d4d-721d-4795-8c1b-c162c92f53bc.h5ad | E8.5_rep1: 201104_17 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/42261d4d-721d-4795-8c1b-c162c92f53bc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 68363116 | 7176 | 1891.3833612040135 | 5.2.0 | 0 | -1 | |
| eb14101c-cfd3-4a74-9823-14215ee93704 | https://datasets.cellxgene.cziscience.com/cd6044c1-1136-4256-ba2e-af4d88423ef2.h5ad | cd6044c1-1136-4256-ba2e-af4d88423ef2 | /mnt/scratch/spatial_soma/source_h5ad/cd6044c1-1136-4256-ba2e-af4d88423ef2.h5ad | E8.5_rep1: 201104_27 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/cd6044c1-1136-4256-ba2e-af4d88423ef2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 34260576 | 3749 | 1571.7594025073354 | 5.2.0 | 0 | -1 | |
| e6e8a767-b862-4006-a393-67719c3082b3 | https://datasets.cellxgene.cziscience.com/09fde6e5-612b-4871-8f4f-46dbb477fa64.h5ad | 09fde6e5-612b-4871-8f4f-46dbb477fa64 | /mnt/scratch/spatial_soma/source_h5ad/09fde6e5-612b-4871-8f4f-46dbb477fa64.h5ad | E9.0: Puck_220718_29 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/09fde6e5-612b-4871-8f4f-46dbb477fa64.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 29793402 | 7389 | 647.5313303559345 | 5.2.0 | 0 | -1 | |
| e5ac5022-58de-44bb-ae88-a34c94e1b45b | https://datasets.cellxgene.cziscience.com/7fe3170f-8498-4844-9e51-8689e065b650.h5ad | 7fe3170f-8498-4844-9e51-8689e065b650 | /mnt/scratch/spatial_soma/source_h5ad/7fe3170f-8498-4844-9e51-8689e065b650.h5ad | E9.0: Puck_220615_34 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/7fe3170f-8498-4844-9e51-8689e065b650.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 15159908 | 3316 | 495.645958986731 | 5.2.0 | 0 | -1 | |
| e545cafe-80f4-494e-bbb1-e95c86955756 | https://datasets.cellxgene.cziscience.com/28758f93-4149-48c8-a4ff-5d0ff28b9d16.h5ad | 28758f93-4149-48c8-a4ff-5d0ff28b9d16 | /mnt/scratch/spatial_soma/source_h5ad/28758f93-4149-48c8-a4ff-5d0ff28b9d16.h5ad | E9.0: Puck_220718_10 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/28758f93-4149-48c8-a4ff-5d0ff28b9d16.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 11475104 | 1336 | 647.5306886227545 | 5.2.0 | 0 | -1 | |
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| b9587a4d-8043-4c88-b13e-24eedc645625 | https://datasets.cellxgene.cziscience.com/d7f77dc2-0ee1-4c61-8a65-731f2ced9d56.h5ad | d7f77dc2-0ee1-4c61-8a65-731f2ced9d56 | /mnt/scratch/spatial_soma/source_h5ad/d7f77dc2-0ee1-4c61-8a65-731f2ced9d56.h5ad | E8.5_rep2: Puck_220815_09 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d7f77dc2-0ee1-4c61-8a65-731f2ced9d56.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 24287619 | 3648 | 991.5975877192982 | 5.2.0 | 0 | -1 | |
| b09f9b6a-7c4b-4345-9298-153bdc41191a | https://datasets.cellxgene.cziscience.com/cc385c8d-50cb-4040-a949-bb657c7b2c05.h5ad | cc385c8d-50cb-4040-a949-bb657c7b2c05 | /mnt/scratch/spatial_soma/source_h5ad/cc385c8d-50cb-4040-a949-bb657c7b2c05.h5ad | E9.0: Puck_220615_36 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/cc385c8d-50cb-4040-a949-bb657c7b2c05.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 14315927 | 3076 | 471.13036410923274 | 5.2.0 | 0 | -1 | |
| a41c2ddc-e1b8-44bd-948a-ecdf8b80c94d | https://datasets.cellxgene.cziscience.com/2557d94c-4fbd-4c6b-8786-f5f524b83588.h5ad | 2557d94c-4fbd-4c6b-8786-f5f524b83588 | /mnt/scratch/spatial_soma/source_h5ad/2557d94c-4fbd-4c6b-8786-f5f524b83588.h5ad | E8.5_rep1: 201104_26 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/2557d94c-4fbd-4c6b-8786-f5f524b83588.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 46857132 | 5733 | 1514.543868829583 | 5.2.0 | 0 | -1 | |
| 9f670522-99d3-4e01-8fee-42f830b33f6b | https://datasets.cellxgene.cziscience.com/3900b3e3-27ac-4d21-92e3-6326b23daca2.h5ad | 3900b3e3-27ac-4d21-92e3-6326b23daca2 | /mnt/scratch/spatial_soma/source_h5ad/3900b3e3-27ac-4d21-92e3-6326b23daca2.h5ad | E8.5_rep2: Puck_220815_13 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/3900b3e3-27ac-4d21-92e3-6326b23daca2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 27150101 | 4616 | 916.6802426343154 | 5.2.0 | 0 | -1 | |
| 97232c2e-9e82-4126-8142-310a998fb6b5 | https://datasets.cellxgene.cziscience.com/64ce08ce-efaf-46dc-9c3a-5878ceae43fd.h5ad | 64ce08ce-efaf-46dc-9c3a-5878ceae43fd | /mnt/scratch/spatial_soma/source_h5ad/64ce08ce-efaf-46dc-9c3a-5878ceae43fd.h5ad | E8.5_rep2: Puck_220815_02 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/64ce08ce-efaf-46dc-9c3a-5878ceae43fd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 19319179 | 3553 | 811.6813960033775 | 5.2.0 | 0 | -1 | |
| 935e5c60-1ca6-44fb-ba3d-00d81e81a8f5 | https://datasets.cellxgene.cziscience.com/8cece1fd-2566-4415-b3f1-15f40ff170c4.h5ad | 8cece1fd-2566-4415-b3f1-15f40ff170c4 | /mnt/scratch/spatial_soma/source_h5ad/8cece1fd-2566-4415-b3f1-15f40ff170c4.h5ad | E8.5_rep2: Puck_220815_33 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/8cece1fd-2566-4415-b3f1-15f40ff170c4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 30601641 | 5038 | 989.1331877729258 | 5.2.0 | 0 | -1 | |
| 90b5dc35-2750-4759-8936-fce33ba774e6 | https://datasets.cellxgene.cziscience.com/0bd5a79d-aa3f-4ebb-8a2c-95a1b613634b.h5ad | 0bd5a79d-aa3f-4ebb-8a2c-95a1b613634b | /mnt/scratch/spatial_soma/source_h5ad/0bd5a79d-aa3f-4ebb-8a2c-95a1b613634b.h5ad | E8.5_rep2: Puck_220815_11 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/0bd5a79d-aa3f-4ebb-8a2c-95a1b613634b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 23083263 | 3760 | 899.0268617021277 | 5.2.0 | 0 | -1 | |
| 89528652-74fc-4a58-9aba-ca36b63d9f78 | https://datasets.cellxgene.cziscience.com/a3c7587c-7867-46a1-8b5a-5e7e513b17ea.h5ad | a3c7587c-7867-46a1-8b5a-5e7e513b17ea | /mnt/scratch/spatial_soma/source_h5ad/a3c7587c-7867-46a1-8b5a-5e7e513b17ea.h5ad | E8.5_rep1: 201104_12 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/a3c7587c-7867-46a1-8b5a-5e7e513b17ea.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 61736509 | 8425 | 1419.0744213649853 | 5.2.0 | 0 | -1 | |
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| 87e59b09-4283-4a3c-b05d-aed621746c8a | https://datasets.cellxgene.cziscience.com/572756bd-fb19-42c3-9711-f9a05a2c6ef6.h5ad | 572756bd-fb19-42c3-9711-f9a05a2c6ef6 | /mnt/scratch/spatial_soma/source_h5ad/572756bd-fb19-42c3-9711-f9a05a2c6ef6.h5ad | E8.5_rep1: 201104_22 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/572756bd-fb19-42c3-9711-f9a05a2c6ef6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 58213696 | 6931 | 1620.1356225652864 | 5.2.0 | 0 | -1 | |
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| 52069da9-5f98-4ae3-8b2f-514afe3ca00f | https://datasets.cellxgene.cziscience.com/a5c8f727-4001-44c8-ad60-e5c775be8c4b.h5ad | a5c8f727-4001-44c8-ad60-e5c775be8c4b | /mnt/scratch/spatial_soma/source_h5ad/a5c8f727-4001-44c8-ad60-e5c775be8c4b.h5ad | E9.5: 201112_02 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/a5c8f727-4001-44c8-ad60-e5c775be8c4b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 93496517 | 16931 | 1124.1676805859074 | 5.2.0 | 0 | -1 | |
| 4c721895-e5cc-4d5c-ba93-ce34754f7396 | https://datasets.cellxgene.cziscience.com/e12ecb2b-414f-4482-b5fa-351c87630717.h5ad | e12ecb2b-414f-4482-b5fa-351c87630717 | /mnt/scratch/spatial_soma/source_h5ad/e12ecb2b-414f-4482-b5fa-351c87630717.h5ad | E8.5_rep1: 201104_08 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/e12ecb2b-414f-4482-b5fa-351c87630717.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 46948210 | 6744 | 1294.2396204033214 | 5.2.0 | 0 | -1 | |
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| 09286690-98b5-4095-b0b1-3ded23a9dd3a | https://datasets.cellxgene.cziscience.com/5ce14125-7e56-42f0-9dac-ef73432172a3.h5ad | 5ce14125-7e56-42f0-9dac-ef73432172a3 | /mnt/scratch/spatial_soma/source_h5ad/5ce14125-7e56-42f0-9dac-ef73432172a3.h5ad | E9.0: Puck_220718_17 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/5ce14125-7e56-42f0-9dac-ef73432172a3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 19631597 | 4507 | 580.2509429775904 | 5.2.0 | 0 | -1 | |
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| f6d0baa0-bcda-4bb2-b494-9d933645bb70 | https://datasets.cellxgene.cziscience.com/332963fa-d714-4cfe-a0d6-f5be96610894.h5ad | 332963fa-d714-4cfe-a0d6-f5be96610894 | /mnt/scratch/spatial_soma/source_h5ad/332963fa-d714-4cfe-a0d6-f5be96610894.h5ad | Spatial transcriptomics in mouse: Puck_191223_15 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/332963fa-d714-4cfe-a0d6-f5be96610894.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 37106176 | 34638 | 413.823633004215 | 5.2.0 | 0 | -1 | |
| f37699b9-abcd-45e1-b8a9-fd406fe18c25 | https://datasets.cellxgene.cziscience.com/85f715ae-5c01-47d8-a099-440424cb1316.h5ad | 85f715ae-5c01-47d8-a099-440424cb1316 | /mnt/scratch/spatial_soma/source_h5ad/85f715ae-5c01-47d8-a099-440424cb1316.h5ad | Spatial transcriptomics in mouse: Puck_200131_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/85f715ae-5c01-47d8-a099-440424cb1316.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17543200 | 11031 | 584.3427613090381 | 5.2.0 | 0 | -1 | |
| eb602a88-fff3-488f-995d-3b0d967593b3 | https://datasets.cellxgene.cziscience.com/5b9192df-87cc-4378-a7ac-705a1608b815.h5ad | 5b9192df-87cc-4378-a7ac-705a1608b815 | /mnt/scratch/spatial_soma/source_h5ad/5b9192df-87cc-4378-a7ac-705a1608b815.h5ad | Spatial transcriptomics in mouse: Puck_200127_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/5b9192df-87cc-4378-a7ac-705a1608b815.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 14893913 | 21894 | 230.4687128893761 | 5.2.0 | 0 | -1 | |
| e6e6aec8-c3e4-4e66-8301-e9325528f683 | https://datasets.cellxgene.cziscience.com/ee28e226-e9bc-4fdc-8bc7-bd0bccf46828.h5ad | ee28e226-e9bc-4fdc-8bc7-bd0bccf46828 | /mnt/scratch/spatial_soma/source_h5ad/ee28e226-e9bc-4fdc-8bc7-bd0bccf46828.h5ad | Spatial transcriptomics in mouse: Puck_191223_19 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ee28e226-e9bc-4fdc-8bc7-bd0bccf46828.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24597653 | 36299 | 242.77481473318824 | 5.2.0 | 0 | -1 | |
| df4c4fdc-756a-4147-a6a0-9c101f62eced | https://datasets.cellxgene.cziscience.com/613a95a5-f8ef-4df4-8ad2-b3eef7e35597.h5ad | 613a95a5-f8ef-4df4-8ad2-b3eef7e35597 | /mnt/scratch/spatial_soma/source_h5ad/613a95a5-f8ef-4df4-8ad2-b3eef7e35597.h5ad | Spatial transcriptomics in mouse: Puck_200127_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/613a95a5-f8ef-4df4-8ad2-b3eef7e35597.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16526144 | 20320 | 288.4047244094488 | 5.2.0 | 0 | -1 | |
| dee80608-7232-4fd2-8617-dda43bdf6b13 | https://datasets.cellxgene.cziscience.com/307f14e6-ca77-4e40-8e69-15ae230e1da3.h5ad | 307f14e6-ca77-4e40-8e69-15ae230e1da3 | /mnt/scratch/spatial_soma/source_h5ad/307f14e6-ca77-4e40-8e69-15ae230e1da3.h5ad | Spatial transcriptomics in mouse: Puck_191223_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/307f14e6-ca77-4e40-8e69-15ae230e1da3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24029245 | 25281 | 355.85400102844034 | 5.2.0 | 0 | -1 | |
| d4f003d4-1e87-4301-84e6-8e01a69aa426 | https://datasets.cellxgene.cziscience.com/a7274acf-9e2b-4211-beb3-70727453bb31.h5ad | a7274acf-9e2b-4211-beb3-70727453bb31 | /mnt/scratch/spatial_soma/source_h5ad/a7274acf-9e2b-4211-beb3-70727453bb31.h5ad | Spatial transcriptomics in mouse: Puck_200104_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a7274acf-9e2b-4211-beb3-70727453bb31.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 15122949 | 27429 | 180.13033650515877 | 5.2.0 | 0 | -1 | |
| d18c575e-c435-43f5-b99b-b6936341c83d | https://datasets.cellxgene.cziscience.com/31bcd1a2-a9fe-436c-b631-c536e9a9d242.h5ad | 31bcd1a2-a9fe-436c-b631-c536e9a9d242 | /mnt/scratch/spatial_soma/source_h5ad/31bcd1a2-a9fe-436c-b631-c536e9a9d242.h5ad | Spatial transcriptomics in mouse: Puck_191223_22 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/31bcd1a2-a9fe-436c-b631-c536e9a9d242.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23811282 | 20689 | 431.6819565952922 | 5.2.0 | 0 | -1 | |
| ce19be17-f066-452f-922e-b1f232ce8af5 | https://datasets.cellxgene.cziscience.com/8369a5ce-8199-4517-8a43-df21bb543413.h5ad | 8369a5ce-8199-4517-8a43-df21bb543413 | /mnt/scratch/spatial_soma/source_h5ad/8369a5ce-8199-4517-8a43-df21bb543413.h5ad | Spatial transcriptomics in mouse: Puck_191109_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/8369a5ce-8199-4517-8a43-df21bb543413.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 7181185 | 15592 | 118.8737814263725 | 5.2.0 | 0 | -1 | |
| cd3c693e-64e1-4009-a941-ba3f340c7434 | https://datasets.cellxgene.cziscience.com/14e2bc8a-323f-4c3a-b711-a5308f5d3520.h5ad | 14e2bc8a-323f-4c3a-b711-a5308f5d3520 | /mnt/scratch/spatial_soma/source_h5ad/14e2bc8a-323f-4c3a-b711-a5308f5d3520.h5ad | Spatial transcriptomics in mouse: Puck_191204_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/14e2bc8a-323f-4c3a-b711-a5308f5d3520.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23842994 | 34844 | 240.1686947537596 | 5.2.0 | 0 | -1 | |
| c9466ba3-2b92-4fb5-9972-33e3940ff9b0 | https://datasets.cellxgene.cziscience.com/76fdd5d7-ad4c-480e-935e-095712ab859b.h5ad | 76fdd5d7-ad4c-480e-935e-095712ab859b | /mnt/scratch/spatial_soma/source_h5ad/76fdd5d7-ad4c-480e-935e-095712ab859b.h5ad | Spatial transcriptomics in mouse: Puck_191223_24 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/76fdd5d7-ad4c-480e-935e-095712ab859b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24393929 | 29434 | 302.841985458993 | 5.2.0 | 0 | -1 | |
| c8fef58f-e669-43e8-b9dc-adc09ccad583 | https://datasets.cellxgene.cziscience.com/33c08373-98f0-4615-be07-7d3af535e6e2.h5ad | 33c08373-98f0-4615-be07-7d3af535e6e2 | /mnt/scratch/spatial_soma/source_h5ad/33c08373-98f0-4615-be07-7d3af535e6e2.h5ad | Spatial transcriptomics in mouse: Puck_191204_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/33c08373-98f0-4615-be07-7d3af535e6e2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16404796 | 26750 | 203.53697196261683 | 5.2.0 | 0 | -1 | |
| c5ac9bb9-9597-4c0e-a985-1c3947288785 | https://datasets.cellxgene.cziscience.com/eabd8ee3-be20-4ab0-8b34-50563b5ec879.h5ad | eabd8ee3-be20-4ab0-8b34-50563b5ec879 | /mnt/scratch/spatial_soma/source_h5ad/eabd8ee3-be20-4ab0-8b34-50563b5ec879.h5ad | Spatial transcriptomics in mouse: Puck_191112_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/eabd8ee3-be20-4ab0-8b34-50563b5ec879.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 7808302 | 21181 | 90.36830177989708 | 5.2.0 | 0 | -1 | |
| c44e22ae-b746-4c09-9826-ca0650e828d4 | https://datasets.cellxgene.cziscience.com/dc0c7c46-7f06-4d96-aebb-26d38ad8f57a.h5ad | dc0c7c46-7f06-4d96-aebb-26d38ad8f57a | /mnt/scratch/spatial_soma/source_h5ad/dc0c7c46-7f06-4d96-aebb-26d38ad8f57a.h5ad | Spatial transcriptomics in mouse: Puck_200127_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dc0c7c46-7f06-4d96-aebb-26d38ad8f57a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 13133049 | 12132 | 383.83308605341244 | 5.2.0 | 0 | -1 | |
| ba79b444-a9e4-4323-8474-421dcfb0d905 | https://datasets.cellxgene.cziscience.com/2e71e4bb-1335-46f8-8a81-2f48ba109b58.h5ad | 2e71e4bb-1335-46f8-8a81-2f48ba109b58 | /mnt/scratch/spatial_soma/source_h5ad/2e71e4bb-1335-46f8-8a81-2f48ba109b58.h5ad | Spatial transcriptomics in mouse: Puck_191109_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/2e71e4bb-1335-46f8-8a81-2f48ba109b58.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 14461896 | 24438 | 191.059292904493 | 5.2.0 | 0 | -1 | |
| b8bd5567-276b-4ddf-a615-6b25ac208910 | https://datasets.cellxgene.cziscience.com/cb43b3ce-7fe9-4074-b313-6b6b288fc3e5.h5ad | cb43b3ce-7fe9-4074-b313-6b6b288fc3e5 | /mnt/scratch/spatial_soma/source_h5ad/cb43b3ce-7fe9-4074-b313-6b6b288fc3e5.h5ad | Spatial transcriptomics in mouse: Puck_191223_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/cb43b3ce-7fe9-4074-b313-6b6b288fc3e5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24308941 | 34355 | 254.40832484354533 | 5.2.0 | 0 | -1 | |
| b24705ee-87c0-45f2-adfb-2819fdc16225 | https://datasets.cellxgene.cziscience.com/5acbe8e6-cc23-49a0-b74e-ac1d6921e295.h5ad | 5acbe8e6-cc23-49a0-b74e-ac1d6921e295 | /mnt/scratch/spatial_soma/source_h5ad/5acbe8e6-cc23-49a0-b74e-ac1d6921e295.h5ad | Spatial transcriptomics in mouse: Puck_200104_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/5acbe8e6-cc23-49a0-b74e-ac1d6921e295.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 9388598 | 25817 | 98.44815431692295 | 5.2.0 | 0 | -1 | |
| b18c3fe3-ac84-4728-8a3d-cff8eafaf9d1 | https://datasets.cellxgene.cziscience.com/79060da4-0799-4e35-aa51-ec4964036dd7.h5ad | 79060da4-0799-4e35-aa51-ec4964036dd7 | /mnt/scratch/spatial_soma/source_h5ad/79060da4-0799-4e35-aa51-ec4964036dd7.h5ad | Spatial transcriptomics in mouse: Puck_191204_16 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/79060da4-0799-4e35-aa51-ec4964036dd7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22048929 | 35896 | 211.88536327167373 | 5.2.0 | 0 | -1 | |
| b17a491e-0157-462e-b611-fdcde893d05d | https://datasets.cellxgene.cziscience.com/a7eb3123-3b28-427b-af63-ee721eea7943.h5ad | a7eb3123-3b28-427b-af63-ee721eea7943 | /mnt/scratch/spatial_soma/source_h5ad/a7eb3123-3b28-427b-af63-ee721eea7943.h5ad | Spatial transcriptomics in mouse: Puck_191223_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a7eb3123-3b28-427b-af63-ee721eea7943.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18145141 | 21814 | 292.9943155771523 | 5.2.0 | 0 | -1 | |
| b020294c-ab82-4547-b5a7-63d8ffa575ed | https://datasets.cellxgene.cziscience.com/abe4fce1-0859-4a56-ad1e-734d79f0e6c8.h5ad | abe4fce1-0859-4a56-ad1e-734d79f0e6c8 | /mnt/scratch/spatial_soma/source_h5ad/abe4fce1-0859-4a56-ad1e-734d79f0e6c8.h5ad | Spatial transcriptomics in mouse: Puck_191112_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/abe4fce1-0859-4a56-ad1e-734d79f0e6c8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 4620257 | 15161 | 52.500494690323855 | 5.2.0 | 0 | -1 | |
| aefbcb9c-7956-4317-998f-f19c5459d79b | https://datasets.cellxgene.cziscience.com/4f933e34-2643-4afd-bb6d-b45de8ddc300.h5ad | 4f933e34-2643-4afd-bb6d-b45de8ddc300 | /mnt/scratch/spatial_soma/source_h5ad/4f933e34-2643-4afd-bb6d-b45de8ddc300.h5ad | Spatial transcriptomics in mouse: Puck_191223_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/4f933e34-2643-4afd-bb6d-b45de8ddc300.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17866059 | 25957 | 236.9063836344724 | 5.2.0 | 0 | -1 | |
| add5eb84-5fc9-4f01-982e-a346dd42ee82 | https://datasets.cellxgene.cziscience.com/de54aed8-4f73-48f6-9229-418a840e2d82.h5ad | de54aed8-4f73-48f6-9229-418a840e2d82 | /mnt/scratch/spatial_soma/source_h5ad/de54aed8-4f73-48f6-9229-418a840e2d82.h5ad | Spatial transcriptomics in mouse: Puck_191109_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/de54aed8-4f73-48f6-9229-418a840e2d82.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 4370223 | 12906 | 58.11475282814195 | 5.2.0 | 0 | -1 | |
| acbdb82c-b62b-422a-a0e4-0ab93d0c4e52 | https://datasets.cellxgene.cziscience.com/545947e5-cb19-4049-8443-9389809d4287.h5ad | 545947e5-cb19-4049-8443-9389809d4287 | /mnt/scratch/spatial_soma/source_h5ad/545947e5-cb19-4049-8443-9389809d4287.h5ad | Spatial transcriptomics in mouse: Puck_191204_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/545947e5-cb19-4049-8443-9389809d4287.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16321989 | 29914 | 175.76689844220098 | 5.2.0 | 0 | -1 | |
| a8a58bc5-8c4c-46fa-b54e-35b64dba658d | https://datasets.cellxgene.cziscience.com/9b115e7f-a714-44b9-b5b2-c82c4eea32d2.h5ad | 9b115e7f-a714-44b9-b5b2-c82c4eea32d2 | /mnt/scratch/spatial_soma/source_h5ad/9b115e7f-a714-44b9-b5b2-c82c4eea32d2.h5ad | Spatial transcriptomics in mouse: Puck_191204_15 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9b115e7f-a714-44b9-b5b2-c82c4eea32d2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22984589 | 35132 | 229.57064784242286 | 5.2.0 | 0 | -1 | |
| a5f715e1-336c-4703-870d-25f5c6d9df53 | https://datasets.cellxgene.cziscience.com/bd77e4df-50c9-47d4-bba8-332ad89dce49.h5ad | bd77e4df-50c9-47d4-bba8-332ad89dce49 | /mnt/scratch/spatial_soma/source_h5ad/bd77e4df-50c9-47d4-bba8-332ad89dce49.h5ad | Spatial transcriptomics in mouse: Puck_191223_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/bd77e4df-50c9-47d4-bba8-332ad89dce49.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18726174 | 26554 | 245.72320554342096 | 5.2.0 | 0 | -1 | |
| a5939d1c-3f1d-4931-abf2-735d82fda26c | https://datasets.cellxgene.cziscience.com/61ac465c-4bda-4041-92f5-4bb1a6284fee.h5ad | 61ac465c-4bda-4041-92f5-4bb1a6284fee | /mnt/scratch/spatial_soma/source_h5ad/61ac465c-4bda-4041-92f5-4bb1a6284fee.h5ad | Spatial transcriptomics in mouse: Puck_200104_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/61ac465c-4bda-4041-92f5-4bb1a6284fee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 20676259 | 27044 | 272.815892619435 | 5.2.0 | 0 | -1 | |
| a3db64f7-658b-414d-9374-d7b640704a6d | https://datasets.cellxgene.cziscience.com/fd2c1b89-3ad4-46ca-b887-c64128870e69.h5ad | fd2c1b89-3ad4-46ca-b887-c64128870e69 | /mnt/scratch/spatial_soma/source_h5ad/fd2c1b89-3ad4-46ca-b887-c64128870e69.h5ad | Spatial transcriptomics in mouse: Puck_191223_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/fd2c1b89-3ad4-46ca-b887-c64128870e69.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23146825 | 34093 | 241.80283342621652 | 5.2.0 | 0 | -1 | |
| a21a47fe-1516-47d0-aeca-fd90d729fa4a | https://datasets.cellxgene.cziscience.com/9019b24b-d6ed-4923-a7fe-b40445f853b2.h5ad | 9019b24b-d6ed-4923-a7fe-b40445f853b2 | /mnt/scratch/spatial_soma/source_h5ad/9019b24b-d6ed-4923-a7fe-b40445f853b2.h5ad | Spatial transcriptomics in mouse: Puck_200131_23 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9019b24b-d6ed-4923-a7fe-b40445f853b2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 12561781 | 12533 | 346.6164525652278 | 5.2.0 | 0 | -1 | |
| 9a32e8f2-a570-4eef-ae25-a3919f98049b | https://datasets.cellxgene.cziscience.com/714e58c6-416f-4817-a1cb-b77575ec12ec.h5ad | 714e58c6-416f-4817-a1cb-b77575ec12ec | /mnt/scratch/spatial_soma/source_h5ad/714e58c6-416f-4817-a1cb-b77575ec12ec.h5ad | Spatial transcriptomics in mouse: Puck_191204_23 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/714e58c6-416f-4817-a1cb-b77575ec12ec.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 20293315 | 37742 | 177.73358592549414 | 5.2.0 | 0 | -1 | |
| 9246671b-f814-4252-8f1a-57f4f5e28f81 | https://datasets.cellxgene.cziscience.com/e0256600-a917-4ec7-abb9-34131f1e1e71.h5ad | e0256600-a917-4ec7-abb9-34131f1e1e71 | /mnt/scratch/spatial_soma/source_h5ad/e0256600-a917-4ec7-abb9-34131f1e1e71.h5ad | Spatial transcriptomics in mouse: Puck_200210_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/e0256600-a917-4ec7-abb9-34131f1e1e71.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11835142 | 20424 | 184.5569428123776 | 5.2.0 | 0 | -1 | |
| 9098fb44-ac81-4ac6-be8e-464f10ec7128 | https://datasets.cellxgene.cziscience.com/67855e83-c9c1-4b9c-b6bb-d5cef75f212a.h5ad | 67855e83-c9c1-4b9c-b6bb-d5cef75f212a | /mnt/scratch/spatial_soma/source_h5ad/67855e83-c9c1-4b9c-b6bb-d5cef75f212a.h5ad | Spatial transcriptomics in mouse: Puck_191223_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/67855e83-c9c1-4b9c-b6bb-d5cef75f212a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11503500 | 14961 | 252.23080008020855 | 5.2.0 | 0 | -1 | |
| 9009cf69-bba5-4b18-9152-d15fedda8181 | https://datasets.cellxgene.cziscience.com/380b2304-2fbc-4b05-9687-2058e1d915f6.h5ad | 380b2304-2fbc-4b05-9687-2058e1d915f6 | /mnt/scratch/spatial_soma/source_h5ad/380b2304-2fbc-4b05-9687-2058e1d915f6.h5ad | Spatial transcriptomics in mouse: Puck_191223_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/380b2304-2fbc-4b05-9687-2058e1d915f6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23518376 | 30888 | 278.2100815850816 | 5.2.0 | 0 | -1 | |
| 89260b3d-752a-415c-9387-25e13ce102c7 | https://datasets.cellxgene.cziscience.com/02c1811c-1f0d-4fb0-90ae-482a51cb7c5a.h5ad | 02c1811c-1f0d-4fb0-90ae-482a51cb7c5a | /mnt/scratch/spatial_soma/source_h5ad/02c1811c-1f0d-4fb0-90ae-482a51cb7c5a.h5ad | Spatial transcriptomics in mouse: Puck_191204_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/02c1811c-1f0d-4fb0-90ae-482a51cb7c5a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23754230 | 26889 | 324.0904830971773 | 5.2.0 | 0 | -1 | |
| 8680267b-9cb3-4660-ac8d-a8ee0de700be | https://datasets.cellxgene.cziscience.com/228cbb3f-0c64-4297-a572-16c81bf23bc7.h5ad | 228cbb3f-0c64-4297-a572-16c81bf23bc7 | /mnt/scratch/spatial_soma/source_h5ad/228cbb3f-0c64-4297-a572-16c81bf23bc7.h5ad | Spatial transcriptomics in mouse: Puck_200104_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/228cbb3f-0c64-4297-a572-16c81bf23bc7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24585121 | 31194 | 285.1574982368404 | 5.2.0 | 0 | -1 | |
| 7c625d8b-f2e3-4b27-8a8f-1d61e58ceae7 | https://datasets.cellxgene.cziscience.com/ff9cfc74-24b7-4b37-afbc-a313c7f2e184.h5ad | ff9cfc74-24b7-4b37-afbc-a313c7f2e184 | /mnt/scratch/spatial_soma/source_h5ad/ff9cfc74-24b7-4b37-afbc-a313c7f2e184.h5ad | Spatial transcriptomics in mouse: Puck_191204_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ff9cfc74-24b7-4b37-afbc-a313c7f2e184.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 20092246 | 20886 | 348.792109547065 | 5.2.0 | 0 | -1 | |
| 7aca1b0a-ea94-4a32-b011-e7467a8a75ef | https://datasets.cellxgene.cziscience.com/58909599-edea-4dd7-908a-1de55cd0720f.h5ad | 58909599-edea-4dd7-908a-1de55cd0720f | /mnt/scratch/spatial_soma/source_h5ad/58909599-edea-4dd7-908a-1de55cd0720f.h5ad | Spatial transcriptomics in mouse: Puck_200131_21 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/58909599-edea-4dd7-908a-1de55cd0720f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 15218753 | 16818 | 317.8473659174694 | 5.2.0 | 0 | -1 | |
| 79a44f62-811f-4a2f-89c7-9db3512274c5 | https://datasets.cellxgene.cziscience.com/e6487271-cc40-4a7a-9779-175712138194.h5ad | e6487271-cc40-4a7a-9779-175712138194 | /mnt/scratch/spatial_soma/source_h5ad/e6487271-cc40-4a7a-9779-175712138194.h5ad | Spatial transcriptomics in mouse: Puck_191223_21 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/e6487271-cc40-4a7a-9779-175712138194.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24022364 | 23204 | 385.93591622134113 | 5.2.0 | 0 | -1 | |
| 78d59e4a-82eb-4a61-a1dc-da974d7ea54b | https://datasets.cellxgene.cziscience.com/7d7ec1b6-6e3f-4aaa-9442-4b22f3424396.h5ad | 7d7ec1b6-6e3f-4aaa-9442-4b22f3424396 | /mnt/scratch/spatial_soma/source_h5ad/7d7ec1b6-6e3f-4aaa-9442-4b22f3424396.h5ad | Spatial transcriptomics in mouse: Puck_191112_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7d7ec1b6-6e3f-4aaa-9442-4b22f3424396.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 4369068 | 10250 | 81.26497560975609 | 5.2.0 | 0 | -1 | |
| 75ad2833-81ac-4bc4-8dea-30bb2226acb1 | https://datasets.cellxgene.cziscience.com/215563f8-216a-4c5d-b9ed-7301f0fcc703.h5ad | 215563f8-216a-4c5d-b9ed-7301f0fcc703 | /mnt/scratch/spatial_soma/source_h5ad/215563f8-216a-4c5d-b9ed-7301f0fcc703.h5ad | Spatial transcriptomics in mouse: Puck_191223_23 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/215563f8-216a-4c5d-b9ed-7301f0fcc703.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23540061 | 25757 | 337.0982257250456 | 5.2.0 | 0 | -1 | |
| 7387a9b8-3d90-476e-92a9-04e87217ebc3 | https://datasets.cellxgene.cziscience.com/923d4274-b4c1-49e8-81f3-b4c23c11ee66.h5ad | 923d4274-b4c1-49e8-81f3-b4c23c11ee66 | /mnt/scratch/spatial_soma/source_h5ad/923d4274-b4c1-49e8-81f3-b4c23c11ee66.h5ad | Spatial transcriptomics in mouse: Puck_191204_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/923d4274-b4c1-49e8-81f3-b4c23c11ee66.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22258568 | 29986 | 264.6673447608884 | 5.2.0 | 0 | -1 | |
| 72ed5f5b-e685-474d-b436-3bcc8c597e8e | https://datasets.cellxgene.cziscience.com/5ea87310-c584-4c7d-b2ba-44f31c2e7ea8.h5ad | 5ea87310-c584-4c7d-b2ba-44f31c2e7ea8 | /mnt/scratch/spatial_soma/source_h5ad/5ea87310-c584-4c7d-b2ba-44f31c2e7ea8.h5ad | Spatial transcriptomics in mouse: Puck_191112_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/5ea87310-c584-4c7d-b2ba-44f31c2e7ea8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 8777600 | 13822 | 185.71306612646507 | 5.2.0 | 0 | -1 | |
| 70fa6bd9-cc35-4779-9a05-fa8918c0ff8b | https://datasets.cellxgene.cziscience.com/120b612b-a9ac-4c70-a07e-05c5f054544f.h5ad | 120b612b-a9ac-4c70-a07e-05c5f054544f | /mnt/scratch/spatial_soma/source_h5ad/120b612b-a9ac-4c70-a07e-05c5f054544f.h5ad | Spatial transcriptomics in mouse: Puck_191109_19 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/120b612b-a9ac-4c70-a07e-05c5f054544f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 6641144 | 22659 | 60.02122776821572 | 5.2.0 | 0 | -1 | |
| 707acde8-4e99-4e31-8da9-782ded87d136 | https://datasets.cellxgene.cziscience.com/6fc5cbd5-ad26-4518-a19f-843f37fcb893.h5ad | 6fc5cbd5-ad26-4518-a19f-843f37fcb893 | /mnt/scratch/spatial_soma/source_h5ad/6fc5cbd5-ad26-4518-a19f-843f37fcb893.h5ad | Spatial transcriptomics in mouse: Puck_191204_24 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/6fc5cbd5-ad26-4518-a19f-843f37fcb893.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11696083 | 27220 | 124.83243938280675 | 5.2.0 | 0 | -1 | |
| 6c0b6bbf-faf4-4612-8823-a0908d31dbc9 | https://datasets.cellxgene.cziscience.com/dfc7570a-5079-4104-963e-998f6d2fc77f.h5ad | dfc7570a-5079-4104-963e-998f6d2fc77f | /mnt/scratch/spatial_soma/source_h5ad/dfc7570a-5079-4104-963e-998f6d2fc77f.h5ad | Spatial transcriptomics in mouse: Puck_191223_11 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dfc7570a-5079-4104-963e-998f6d2fc77f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 19334840 | 27173 | 249.33459684245392 | 5.2.0 | 0 | -1 | |
| 6bbfca2f-b2fb-4285-98d2-19fa9b9f6692 | https://datasets.cellxgene.cziscience.com/76fd90fd-1e5e-43d1-b396-8349ab462922.h5ad | 76fd90fd-1e5e-43d1-b396-8349ab462922 | /mnt/scratch/spatial_soma/source_h5ad/76fd90fd-1e5e-43d1-b396-8349ab462922.h5ad | Spatial transcriptomics in mouse: Puck_200210_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/76fd90fd-1e5e-43d1-b396-8349ab462922.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18827349 | 28577 | 229.41400426916752 | 5.2.0 | 0 | -1 | |
| 68bcbb10-cc0d-435b-ba76-ab03c040967b | https://datasets.cellxgene.cziscience.com/7aa01b94-92aa-42fd-8a47-b73d0c8e2c60.h5ad | 7aa01b94-92aa-42fd-8a47-b73d0c8e2c60 | /mnt/scratch/spatial_soma/source_h5ad/7aa01b94-92aa-42fd-8a47-b73d0c8e2c60.h5ad | Spatial transcriptomics in mouse: Puck_200131_22 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7aa01b94-92aa-42fd-8a47-b73d0c8e2c60.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 13097695 | 12541 | 362.51949605294635 | 5.2.0 | 0 | -1 | |
| 686e1a03-54e6-44ec-b9f5-98e3bd75560e | https://datasets.cellxgene.cziscience.com/563baeba-7936-4600-b61c-c003f89c8bdb.h5ad | 563baeba-7936-4600-b61c-c003f89c8bdb | /mnt/scratch/spatial_soma/source_h5ad/563baeba-7936-4600-b61c-c003f89c8bdb.h5ad | Spatial transcriptomics in mouse: Puck_200127_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/563baeba-7936-4600-b61c-c003f89c8bdb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 14800961 | 14666 | 361.63739260875496 | 5.2.0 | 0 | -1 | |
| 60d25f3a-092a-4ea3-8e16-bd49c2846bbc | https://datasets.cellxgene.cziscience.com/b4b53c13-7641-4579-a9b4-47ce4dc31f9c.h5ad | b4b53c13-7641-4579-a9b4-47ce4dc31f9c | /mnt/scratch/spatial_soma/source_h5ad/b4b53c13-7641-4579-a9b4-47ce4dc31f9c.h5ad | Spatial transcriptomics in mouse: Puck_200210_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/b4b53c13-7641-4579-a9b4-47ce4dc31f9c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23437236 | 11005 | 831.9651976374375 | 5.2.0 | 0 | -1 | |
| 607e7a20-f623-4150-93d5-b7ebc0af6fbf | https://datasets.cellxgene.cziscience.com/ebb6e3d0-f90d-4ccd-a9c4-8f3b796617c5.h5ad | ebb6e3d0-f90d-4ccd-a9c4-8f3b796617c5 | /mnt/scratch/spatial_soma/source_h5ad/ebb6e3d0-f90d-4ccd-a9c4-8f3b796617c5.h5ad | Spatial transcriptomics in mouse: Puck_200131_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ebb6e3d0-f90d-4ccd-a9c4-8f3b796617c5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16317786 | 18162 | 319.4762140733399 | 5.2.0 | 0 | -1 | |
| 5e73d977-8e54-4406-a5f0-711bf0d3c228 | https://datasets.cellxgene.cziscience.com/24218d17-2680-4214-9c92-b9bb370dbbbd.h5ad | 24218d17-2680-4214-9c92-b9bb370dbbbd | /mnt/scratch/spatial_soma/source_h5ad/24218d17-2680-4214-9c92-b9bb370dbbbd.h5ad | Spatial transcriptomics in mouse: Puck_191204_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/24218d17-2680-4214-9c92-b9bb370dbbbd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 10377624 | 17138 | 182.78924028474734 | 5.2.0 | 0 | -1 | |
| 5767c838-0d36-44bb-b025-a4dfe5cdd908 | https://datasets.cellxgene.cziscience.com/e47ca92d-75eb-4043-adc2-3ed0537370b7.h5ad | e47ca92d-75eb-4043-adc2-3ed0537370b7 | /mnt/scratch/spatial_soma/source_h5ad/e47ca92d-75eb-4043-adc2-3ed0537370b7.h5ad | Spatial transcriptomics in mouse: Puck_200102_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/e47ca92d-75eb-4043-adc2-3ed0537370b7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 29360507 | 27479 | 406.3908803085993 | 5.2.0 | 0 | -1 | |
| 5595e151-5cdf-4ea6-a089-1610c60613dc | https://datasets.cellxgene.cziscience.com/4fe53a18-0fc1-4206-93d3-6649cd252c8b.h5ad | 4fe53a18-0fc1-4206-93d3-6649cd252c8b | /mnt/scratch/spatial_soma/source_h5ad/4fe53a18-0fc1-4206-93d3-6649cd252c8b.h5ad | Spatial transcriptomics in mouse: Puck_191206_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/4fe53a18-0fc1-4206-93d3-6649cd252c8b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 19839703 | 32900 | 203.46337386018237 | 5.2.0 | 0 | -1 | |
| 530c9bff-c552-45b9-be77-0de605e6858b | https://datasets.cellxgene.cziscience.com/d5e8239f-a6a3-475a-b60d-d6991ad9a108.h5ad | d5e8239f-a6a3-475a-b60d-d6991ad9a108 | /mnt/scratch/spatial_soma/source_h5ad/d5e8239f-a6a3-475a-b60d-d6991ad9a108.h5ad | Spatial transcriptomics in mouse: Puck_191109_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/d5e8239f-a6a3-475a-b60d-d6991ad9a108.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 5580604 | 12351 | 101.33819123957575 | 5.2.0 | 0 | -1 | |
| 526a2472-0913-4f36-92f1-72f58ddf9524 | https://datasets.cellxgene.cziscience.com/ba3e3678-a0bf-42c2-b1e5-f259bf47f56e.h5ad | ba3e3678-a0bf-42c2-b1e5-f259bf47f56e | /mnt/scratch/spatial_soma/source_h5ad/ba3e3678-a0bf-42c2-b1e5-f259bf47f56e.h5ad | Spatial transcriptomics in mouse: Puck_191204_22 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ba3e3678-a0bf-42c2-b1e5-f259bf47f56e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23857223 | 31600 | 272.59474683544306 | 5.2.0 | 0 | -1 | |
| 5132612b-bbca-478d-bfc0-47bd70102372 | https://datasets.cellxgene.cziscience.com/0c3c6cfc-aaea-49ac-baf8-04f328a8650a.h5ad | 0c3c6cfc-aaea-49ac-baf8-04f328a8650a | /mnt/scratch/spatial_soma/source_h5ad/0c3c6cfc-aaea-49ac-baf8-04f328a8650a.h5ad | Spatial transcriptomics in mouse: Puck_200104_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/0c3c6cfc-aaea-49ac-baf8-04f328a8650a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22406803 | 33006 | 242.34996667272617 | 5.2.0 | 0 | -1 | |
| 4f420bc4-b9cd-4e14-a1d2-51d76f776374 | https://datasets.cellxgene.cziscience.com/a6301779-e74f-4aa3-8828-43356b83e356.h5ad | a6301779-e74f-4aa3-8828-43356b83e356 | /mnt/scratch/spatial_soma/source_h5ad/a6301779-e74f-4aa3-8828-43356b83e356.h5ad | Spatial transcriptomics in mouse: Puck_200127_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a6301779-e74f-4aa3-8828-43356b83e356.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18870595 | 19886 | 345.0703007140702 | 5.2.0 | 0 | -1 | |
| 4eb29386-de81-452f-b3c0-e00844e8c7fd | https://datasets.cellxgene.cziscience.com/f76861bb-becb-4eb7-82fc-782dc96ccc7f.h5ad | f76861bb-becb-4eb7-82fc-782dc96ccc7f | /mnt/scratch/spatial_soma/source_h5ad/f76861bb-becb-4eb7-82fc-782dc96ccc7f.h5ad | Spatial transcriptomics in mouse: Puck_191112_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/f76861bb-becb-4eb7-82fc-782dc96ccc7f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 4340335 | 10888 | 70.06603600293901 | 5.2.0 | 0 | -1 | |
| 4ea886a2-077b-43c7-9f49-b82c81351798 | https://datasets.cellxgene.cziscience.com/428318eb-54db-4e21-9d88-59c7cc127fe0.h5ad | 428318eb-54db-4e21-9d88-59c7cc127fe0 | /mnt/scratch/spatial_soma/source_h5ad/428318eb-54db-4e21-9d88-59c7cc127fe0.h5ad | Spatial transcriptomics in mouse: Puck_191223_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/428318eb-54db-4e21-9d88-59c7cc127fe0.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22463327 | 18568 | 456.9186772942697 | 5.2.0 | 0 | -1 | |
| 4dbc3399-8272-43c4-b6fd-9d7c983e62bb | https://datasets.cellxgene.cziscience.com/727a019e-a35b-4135-ab1b-7675e3aa3f49.h5ad | 727a019e-a35b-4135-ab1b-7675e3aa3f49 | /mnt/scratch/spatial_soma/source_h5ad/727a019e-a35b-4135-ab1b-7675e3aa3f49.h5ad | Spatial transcriptomics in mouse: Puck_191223_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/727a019e-a35b-4135-ab1b-7675e3aa3f49.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16101922 | 20055 | 285.1116928446771 | 5.2.0 | 0 | -1 | |
| 4502562d-24da-4a95-a873-bdbf6834209c | https://datasets.cellxgene.cziscience.com/4d6e57d7-e4fa-41ac-8daf-23a6847bc968.h5ad | 4d6e57d7-e4fa-41ac-8daf-23a6847bc968 | /mnt/scratch/spatial_soma/source_h5ad/4d6e57d7-e4fa-41ac-8daf-23a6847bc968.h5ad | Spatial transcriptomics in mouse: Puck_191223_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/4d6e57d7-e4fa-41ac-8daf-23a6847bc968.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16040103 | 14558 | 394.2951641709026 | 5.2.0 | 0 | -1 | |
| 43b460b5-9863-414e-88ea-50bc1f5b60e0 | https://datasets.cellxgene.cziscience.com/7156de45-f7b1-43e4-954f-08b84b8b5aad.h5ad | 7156de45-f7b1-43e4-954f-08b84b8b5aad | /mnt/scratch/spatial_soma/source_h5ad/7156de45-f7b1-43e4-954f-08b84b8b5aad.h5ad | Spatial transcriptomics in mouse: Puck_191204_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7156de45-f7b1-43e4-954f-08b84b8b5aad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 21733601 | 26260 | 295.61092916984006 | 5.2.0 | 0 | -1 | |
| 3ddfa0d8-ae3d-4970-9660-aa8dfbb98b63 | https://datasets.cellxgene.cziscience.com/242c863d-f80a-4584-b4e0-fe9d0b3b6a1e.h5ad | 242c863d-f80a-4584-b4e0-fe9d0b3b6a1e | /mnt/scratch/spatial_soma/source_h5ad/242c863d-f80a-4584-b4e0-fe9d0b3b6a1e.h5ad | Spatial transcriptomics in mouse: Puck_191206_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/242c863d-f80a-4584-b4e0-fe9d0b3b6a1e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 19280739 | 31954 | 204.52143706578207 | 5.2.0 | 0 | -1 | |
| 3554fad4-0967-4ee0-b6e9-24f0204cbe85 | https://datasets.cellxgene.cziscience.com/6cd731e2-fcca-4b3e-9f87-3fd02ae25582.h5ad | 6cd731e2-fcca-4b3e-9f87-3fd02ae25582 | /mnt/scratch/spatial_soma/source_h5ad/6cd731e2-fcca-4b3e-9f87-3fd02ae25582.h5ad | Spatial transcriptomics in mouse: Puck_200104_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/6cd731e2-fcca-4b3e-9f87-3fd02ae25582.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 27212959 | 26270 | 391.95858393604874 | 5.2.0 | 0 | -1 | |
| 34cd019c-c79d-4f4f-8f95-8934062dc132 | https://datasets.cellxgene.cziscience.com/1b667779-e452-45f7-87a1-a8a5ad19bab2.h5ad | 1b667779-e452-45f7-87a1-a8a5ad19bab2 | /mnt/scratch/spatial_soma/source_h5ad/1b667779-e452-45f7-87a1-a8a5ad19bab2.h5ad | Spatial transcriptomics in mouse: Puck_191206_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/1b667779-e452-45f7-87a1-a8a5ad19bab2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11932553 | 18542 | 205.41710710818683 | 5.2.0 | 0 | -1 | |
| 34893c3b-1776-4a4c-9ea0-9f86ad168ae4 | https://datasets.cellxgene.cziscience.com/84c11aae-6b53-44bc-830b-53365bcd9d93.h5ad | 84c11aae-6b53-44bc-830b-53365bcd9d93 | /mnt/scratch/spatial_soma/source_h5ad/84c11aae-6b53-44bc-830b-53365bcd9d93.h5ad | Spatial transcriptomics in mouse: Puck_191112_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/84c11aae-6b53-44bc-830b-53365bcd9d93.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 13979603 | 20568 | 221.28408206923376 | 5.2.0 | 0 | -1 | |
| 3483835a-fdd2-4589-8de3-530e2a13ad14 | https://datasets.cellxgene.cziscience.com/87e44ad8-b2da-4478-8e80-56bd3b4058e6.h5ad | 87e44ad8-b2da-4478-8e80-56bd3b4058e6 | /mnt/scratch/spatial_soma/source_h5ad/87e44ad8-b2da-4478-8e80-56bd3b4058e6.h5ad | Spatial transcriptomics in mouse: Puck_191204_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/87e44ad8-b2da-4478-8e80-56bd3b4058e6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 7085981 | 27814 | 48.91065650391889 | 5.2.0 | 0 | -1 | |
| 3175b4f9-c2dd-43a4-972d-8c672e0a3d24 | https://datasets.cellxgene.cziscience.com/ce3dfc5a-9b50-4ab7-917f-5733a2697a0a.h5ad | ce3dfc5a-9b50-4ab7-917f-5733a2697a0a | /mnt/scratch/spatial_soma/source_h5ad/ce3dfc5a-9b50-4ab7-917f-5733a2697a0a.h5ad | Spatial transcriptomics in mouse: Puck_191223_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ce3dfc5a-9b50-4ab7-917f-5733a2697a0a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 15073406 | 19471 | 264.8844435314057 | 5.2.0 | 0 | -1 | |
| 2fb24a91-55b9-4cc4-9a11-d46c373d53c1 | https://datasets.cellxgene.cziscience.com/0effbd1e-4397-407f-8ab7-7c087828e307.h5ad | 0effbd1e-4397-407f-8ab7-7c087828e307 | /mnt/scratch/spatial_soma/source_h5ad/0effbd1e-4397-407f-8ab7-7c087828e307.h5ad | Spatial transcriptomics in mouse: Puck_191109_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/0effbd1e-4397-407f-8ab7-7c087828e307.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 9941403 | 30182 | 83.8473593532569 | 5.2.0 | 0 | -1 | |
| 2e14e403-84fd-4326-ad6b-98523040c3d6 | https://datasets.cellxgene.cziscience.com/c25fff49-72e4-4a96-9b29-08263bcd76ca.h5ad | c25fff49-72e4-4a96-9b29-08263bcd76ca | /mnt/scratch/spatial_soma/source_h5ad/c25fff49-72e4-4a96-9b29-08263bcd76ca.h5ad | Spatial transcriptomics in mouse: Puck_191204_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/c25fff49-72e4-4a96-9b29-08263bcd76ca.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 21646335 | 32706 | 228.77163211643125 | 5.2.0 | 0 | -1 | |
| 29aab068-9922-4b87-a35b-dd3bb4822d4e | https://datasets.cellxgene.cziscience.com/34e51e1f-cbd7-4eea-b21a-b1778d0e11c4.h5ad | 34e51e1f-cbd7-4eea-b21a-b1778d0e11c4 | /mnt/scratch/spatial_soma/source_h5ad/34e51e1f-cbd7-4eea-b21a-b1778d0e11c4.h5ad | Spatial transcriptomics in mouse: Puck_200104_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/34e51e1f-cbd7-4eea-b21a-b1778d0e11c4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 26464711 | 30206 | 322.69787459445143 | 5.2.0 | 0 | -1 | |
| 286fead0-7be7-46db-b358-7abc6d39adf7 | https://datasets.cellxgene.cziscience.com/f26c5734-29c4-4e55-93c3-deb3bb68ca51.h5ad | f26c5734-29c4-4e55-93c3-deb3bb68ca51 | /mnt/scratch/spatial_soma/source_h5ad/f26c5734-29c4-4e55-93c3-deb3bb68ca51.h5ad | Spatial transcriptomics in mouse: Puck_191109_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/f26c5734-29c4-4e55-93c3-deb3bb68ca51.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 12607376 | 29011 | 126.94171176450313 | 5.2.0 | 0 | -1 | |
| 230eeeee-5640-49ef-99a2-9d2fd001ea06 | https://datasets.cellxgene.cziscience.com/78b29a5e-f8f6-412c-89dd-cd5dddba5bb2.h5ad | 78b29a5e-f8f6-412c-89dd-cd5dddba5bb2 | /mnt/scratch/spatial_soma/source_h5ad/78b29a5e-f8f6-412c-89dd-cd5dddba5bb2.h5ad | Spatial transcriptomics in mouse: Puck_200210_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/78b29a5e-f8f6-412c-89dd-cd5dddba5bb2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22487993 | 22430 | 376.10249665626395 | 5.2.0 | 0 | -1 | |
| 2214c7a9-371f-4520-a2d0-88524b80b577 | https://datasets.cellxgene.cziscience.com/f95c2f01-0cd7-4eb0-a60b-a4ffe255e8fb.h5ad | f95c2f01-0cd7-4eb0-a60b-a4ffe255e8fb | /mnt/scratch/spatial_soma/source_h5ad/f95c2f01-0cd7-4eb0-a60b-a4ffe255e8fb.h5ad | Spatial transcriptomics in mouse: Puck_191204_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/f95c2f01-0cd7-4eb0-a60b-a4ffe255e8fb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22401593 | 27639 | 293.0968558920366 | 5.2.0 | 0 | -1 | |
| 1fed33a0-3c5f-47c0-9c5f-39435c6ffbd2 | https://datasets.cellxgene.cziscience.com/a97f2751-99d5-4bff-a2ca-99c3e28ba2f1.h5ad | a97f2751-99d5-4bff-a2ca-99c3e28ba2f1 | /mnt/scratch/spatial_soma/source_h5ad/a97f2751-99d5-4bff-a2ca-99c3e28ba2f1.h5ad | Spatial transcriptomics in mouse: Puck_200104_06 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a97f2751-99d5-4bff-a2ca-99c3e28ba2f1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 25125399 | 30942 | 298.39906922629433 | 5.2.0 | 0 | -1 | |
| 1c224f30-a9c4-48c6-951d-8d86c0a2886e | https://datasets.cellxgene.cziscience.com/80bcbbcc-7424-4c97-a796-34c528cb9041.h5ad | 80bcbbcc-7424-4c97-a796-34c528cb9041 | /mnt/scratch/spatial_soma/source_h5ad/80bcbbcc-7424-4c97-a796-34c528cb9041.h5ad | Spatial transcriptomics in mouse: Puck_191223_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/80bcbbcc-7424-4c97-a796-34c528cb9041.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 6998348 | 16787 | 107.98248644784655 | 5.2.0 | 0 | -1 | |
| 1831d86a-0cdb-4a41-b410-6687370a4620 | https://datasets.cellxgene.cziscience.com/d096e05c-6150-47a8-9aec-b89747b2925e.h5ad | d096e05c-6150-47a8-9aec-b89747b2925e | /mnt/scratch/spatial_soma/source_h5ad/d096e05c-6150-47a8-9aec-b89747b2925e.h5ad | Spatial transcriptomics in mouse: Puck_191223_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/d096e05c-6150-47a8-9aec-b89747b2925e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 14776471 | 22458 | 220.06229406002316 | 5.2.0 | 0 | -1 | |
| 10eed666-34e0-4b98-9384-179993873aa8 | https://datasets.cellxgene.cziscience.com/7a361462-363f-4dc9-8d84-1605fabc9691.h5ad | 7a361462-363f-4dc9-8d84-1605fabc9691 | /mnt/scratch/spatial_soma/source_h5ad/7a361462-363f-4dc9-8d84-1605fabc9691.h5ad | Spatial transcriptomics in mouse: Puck_200104_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7a361462-363f-4dc9-8d84-1605fabc9691.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11016679 | 16027 | 221.74992200661384 | 5.2.0 | 0 | -1 | |
| 1075c26e-5c47-43ba-902c-5b6cb864dd10 | https://datasets.cellxgene.cziscience.com/17f2fc54-6aa5-4029-9ed9-e67ccdee3c04.h5ad | 17f2fc54-6aa5-4029-9ed9-e67ccdee3c04 | /mnt/scratch/spatial_soma/source_h5ad/17f2fc54-6aa5-4029-9ed9-e67ccdee3c04.h5ad | Spatial transcriptomics in mouse: Puck_200127_06 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/17f2fc54-6aa5-4029-9ed9-e67ccdee3c04.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17301152 | 18898 | 327.80997989205207 | 5.2.0 | 0 | -1 | |
| 0a1b0fc9-2167-4cd3-85c6-379f0fdab8be | https://datasets.cellxgene.cziscience.com/a8a8ba34-fb34-4ac5-8cbc-86d5a05523b5.h5ad | a8a8ba34-fb34-4ac5-8cbc-86d5a05523b5 | /mnt/scratch/spatial_soma/source_h5ad/a8a8ba34-fb34-4ac5-8cbc-86d5a05523b5.h5ad | Spatial transcriptomics in mouse: Puck_200104_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a8a8ba34-fb34-4ac5-8cbc-86d5a05523b5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 21229560 | 22157 | 350.4325044004152 | 5.2.0 | 0 | -1 | |
| 03b3e7b1-1d38-4b39-b996-28ace9c65492 | https://datasets.cellxgene.cziscience.com/9bca5b0c-6f07-44ba-873b-e004bfdd0f66.h5ad | 9bca5b0c-6f07-44ba-873b-e004bfdd0f66 | /mnt/scratch/spatial_soma/source_h5ad/9bca5b0c-6f07-44ba-873b-e004bfdd0f66.h5ad | Spatial transcriptomics in mouse: Puck_191204_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9bca5b0c-6f07-44ba-873b-e004bfdd0f66.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24386199 | 32070 | 270.8021515434986 | 5.2.0 | 0 | -1 | |
| 00099d5e-154f-4a7a-aa8d-fa30c8c0c43c | https://datasets.cellxgene.cziscience.com/ea16a9c4-02fc-403f-a382-081f7e3834bf.h5ad | ea16a9c4-02fc-403f-a382-081f7e3834bf | /mnt/scratch/spatial_soma/source_h5ad/ea16a9c4-02fc-403f-a382-081f7e3834bf.h5ad | Spatial transcriptomics in mouse: Puck_191206_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ea16a9c4-02fc-403f-a382-081f7e3834bf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16410425 | 26239 | 209.55985365295933 | 5.2.0 | 0 | -1 | |
| ff77ee42-ed01-4e50-8413-4cea1f6fbcbc | https://datasets.cellxgene.cziscience.com/8629226e-4f76-4201-ac80-4bf6dd16789c.h5ad | 8629226e-4f76-4201-ac80-4bf6dd16789c | /mnt/scratch/spatial_soma/source_h5ad/8629226e-4f76-4201-ac80-4bf6dd16789c.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200903_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/8629226e-4f76-4201-ac80-4bf6dd16789c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 60587306 | 38024 | 223.57345360824743 | 5.2.0 | 0 | -1 | |
| f425376b-bc86-44fd-936f-c43c0c64bf4f | https://datasets.cellxgene.cziscience.com/439c97eb-e2b8-404d-9fa6-d63ec7657bdb.h5ad | 439c97eb-e2b8-404d-9fa6-d63ec7657bdb | /mnt/scratch/spatial_soma/source_h5ad/439c97eb-e2b8-404d-9fa6-d63ec7657bdb.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_19 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/439c97eb-e2b8-404d-9fa6-d63ec7657bdb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24241649 | 27036 | 176.27685308477587 | 5.2.0 | 0 | -1 | |
| df4f1358-4a19-44f5-b136-bc7274c29789 | https://datasets.cellxgene.cziscience.com/acf52dbd-8ecf-440f-a035-1c90c9251279.h5ad | acf52dbd-8ecf-440f-a035-1c90c9251279 | /mnt/scratch/spatial_soma/source_h5ad/acf52dbd-8ecf-440f-a035-1c90c9251279.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/acf52dbd-8ecf-440f-a035-1c90c9251279.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 37943119 | 15196 | 574.8311397736246 | 5.2.0 | 0 | -1 | |
| deb385b8-8030-42a4-af1f-aa28932c7344 | https://datasets.cellxgene.cziscience.com/23500c37-755a-4d4c-82e3-5fddc2a1bf26.h5ad | 23500c37-755a-4d4c-82e3-5fddc2a1bf26 | /mnt/scratch/spatial_soma/source_h5ad/23500c37-755a-4d4c-82e3-5fddc2a1bf26.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_06 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/23500c37-755a-4d4c-82e3-5fddc2a1bf26.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 30298813 | 23510 | 303.36299447043814 | 5.2.0 | 0 | -1 | |
| dd49aae6-274c-4d8b-9bf6-025627fdf39e | https://datasets.cellxgene.cziscience.com/d34f337b-5d02-41a5-9191-3d697ce65346.h5ad | d34f337b-5d02-41a5-9191-3d697ce65346 | /mnt/scratch/spatial_soma/source_h5ad/d34f337b-5d02-41a5-9191-3d697ce65346.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_16 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/d34f337b-5d02-41a5-9191-3d697ce65346.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 27639319 | 14495 | 390.3065884787858 | 5.2.0 | 0 | -1 | |
| d98ea49e-b70d-4434-b850-bbe217c9b66e | https://datasets.cellxgene.cziscience.com/74ea7a13-cd83-4d99-b6d3-78fccb7111ed.h5ad | 74ea7a13-cd83-4d99-b6d3-78fccb7111ed | /mnt/scratch/spatial_soma/source_h5ad/74ea7a13-cd83-4d99-b6d3-78fccb7111ed.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/74ea7a13-cd83-4d99-b6d3-78fccb7111ed.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 28845666 | 15216 | 420.28943217665613 | 5.2.0 | 0 | -1 | |
| cb97280b-1c7c-4c55-a921-481062abd9f7 | https://datasets.cellxgene.cziscience.com/f1f5c077-591e-4fbe-8c79-54aacbbc7300.h5ad | f1f5c077-591e-4fbe-8c79-54aacbbc7300 | /mnt/scratch/spatial_soma/source_h5ad/f1f5c077-591e-4fbe-8c79-54aacbbc7300.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/f1f5c077-591e-4fbe-8c79-54aacbbc7300.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 20994092 | 13782 | 212.40052242054855 | 5.2.0 | 0 | -1 | |
| c97f9167-f7f7-40d4-babf-a47663290c09 | https://datasets.cellxgene.cziscience.com/316ee5de-319c-4c25-9040-ebaf9d2a258c.h5ad | 316ee5de-319c-4c25-9040-ebaf9d2a258c | /mnt/scratch/spatial_soma/source_h5ad/316ee5de-319c-4c25-9040-ebaf9d2a258c.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_19 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/316ee5de-319c-4c25-9040-ebaf9d2a258c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23658337 | 14186 | 236.01346397857043 | 5.2.0 | 0 | -1 | |
| c2dec445-4116-4b6d-9253-a73f9516460f | https://datasets.cellxgene.cziscience.com/0b100822-8ba0-4d6b-b8bc-0f5a7d32ad99.h5ad | 0b100822-8ba0-4d6b-b8bc-0f5a7d32ad99 | /mnt/scratch/spatial_soma/source_h5ad/0b100822-8ba0-4d6b-b8bc-0f5a7d32ad99.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/0b100822-8ba0-4d6b-b8bc-0f5a7d32ad99.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 44988556 | 20868 | 489.87459267778416 | 5.2.0 | 0 | -1 | |
| b627552d-c205-4ab3-b440-e08b3271d372 | https://datasets.cellxgene.cziscience.com/67ad09dc-354a-4dc7-8f2a-63ee7acb6a02.h5ad | 67ad09dc-354a-4dc7-8f2a-63ee7acb6a02 | /mnt/scratch/spatial_soma/source_h5ad/67ad09dc-354a-4dc7-8f2a-63ee7acb6a02.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/67ad09dc-354a-4dc7-8f2a-63ee7acb6a02.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 50841478 | 22502 | 514.7396675851036 | 5.2.0 | 0 | -1 | |
| a5ecb41a-d1e8-4d6a-954c-30472a2f1007 | https://datasets.cellxgene.cziscience.com/8c079623-9531-49b7-abf2-3a06dac76cab.h5ad | 8c079623-9531-49b7-abf2-3a06dac76cab | /mnt/scratch/spatial_soma/source_h5ad/8c079623-9531-49b7-abf2-3a06dac76cab.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_11 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/8c079623-9531-49b7-abf2-3a06dac76cab.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16583754 | 19029 | 165.9446634084818 | 5.2.0 | 0 | -1 | |
| a5a6c83a-3afe-4a87-8c32-691118c46e51 | https://datasets.cellxgene.cziscience.com/09168c5d-0f16-4375-be0e-b527d2561919.h5ad | 09168c5d-0f16-4375-be0e-b527d2561919 | /mnt/scratch/spatial_soma/source_h5ad/09168c5d-0f16-4375-be0e-b527d2561919.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/09168c5d-0f16-4375-be0e-b527d2561919.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 12418134 | 13780 | 148.9809869375907 | 5.2.0 | 0 | -1 | |
| a1e16320-801b-4d0a-b60d-ebf9b4130bb4 | https://datasets.cellxgene.cziscience.com/dfa75d59-415b-4b5f-9e2f-40a14d1ac254.h5ad | dfa75d59-415b-4b5f-9e2f-40a14d1ac254 | /mnt/scratch/spatial_soma/source_h5ad/dfa75d59-415b-4b5f-9e2f-40a14d1ac254.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200903_11 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dfa75d59-415b-4b5f-9e2f-40a14d1ac254.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 63353359 | 40436 | 221.21426451676723 | 5.2.0 | 0 | -1 | |
| 9df7a9ce-4298-4d65-9e89-33d83ac8bb69 | https://datasets.cellxgene.cziscience.com/9f0411ca-8074-4e16-8d6f-5b09a2c96761.h5ad | 9f0411ca-8074-4e16-8d6f-5b09a2c96761 | /mnt/scratch/spatial_soma/source_h5ad/9f0411ca-8074-4e16-8d6f-5b09a2c96761.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200903_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9f0411ca-8074-4e16-8d6f-5b09a2c96761.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 69443697 | 35987 | 302.44121488315227 | 5.2.0 | 0 | -1 | |
| 99c400af-2a21-4937-9b84-cc1e52f7ba09 | https://datasets.cellxgene.cziscience.com/7b7862ad-9ae1-49a1-904d-acd54ee1d3de.h5ad | 7b7862ad-9ae1-49a1-904d-acd54ee1d3de | /mnt/scratch/spatial_soma/source_h5ad/7b7862ad-9ae1-49a1-904d-acd54ee1d3de.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200121_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7b7862ad-9ae1-49a1-904d-acd54ee1d3de.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22352295 | 21054 | 208.4159779614325 | 5.2.0 | 0 | -1 | |
| 90ef2377-e4d0-41c7-924f-6f9ee7a9237d | https://datasets.cellxgene.cziscience.com/0aeba889-34c7-427c-8c0b-5abf70fda5e8.h5ad | 0aeba889-34c7-427c-8c0b-5abf70fda5e8 | /mnt/scratch/spatial_soma/source_h5ad/0aeba889-34c7-427c-8c0b-5abf70fda5e8.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/0aeba889-34c7-427c-8c0b-5abf70fda5e8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 9724164 | 11456 | 130.92274790502793 | 5.2.0 | 0 | -1 | |
| 8c6f14c0-6162-4c2e-971f-510d7b766d7c | https://datasets.cellxgene.cziscience.com/c4806a53-1a19-48a5-a847-236fdd96f7f3.h5ad | c4806a53-1a19-48a5-a847-236fdd96f7f3 | /mnt/scratch/spatial_soma/source_h5ad/c4806a53-1a19-48a5-a847-236fdd96f7f3.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/c4806a53-1a19-48a5-a847-236fdd96f7f3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 28099171 | 12444 | 500.9917229186757 | 5.2.0 | 0 | -1 | |
| 8c275f25-d8d9-40b2-a81d-498bf89c4677 | https://datasets.cellxgene.cziscience.com/2fe6ab95-4ce2-4fc0-8de4-bcbda40d7fbd.h5ad | 2fe6ab95-4ce2-4fc0-8de4-bcbda40d7fbd | /mnt/scratch/spatial_soma/source_h5ad/2fe6ab95-4ce2-4fc0-8de4-bcbda40d7fbd.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/2fe6ab95-4ce2-4fc0-8de4-bcbda40d7fbd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 35959471 | 18471 | 449.1247902116832 | 5.2.0 | 0 | -1 | |
| 88b7da92-178d-4f27-bc18-b0165b256c67 | https://datasets.cellxgene.cziscience.com/33c1f3b4-536a-49a6-b265-4caac94f7314.h5ad | 33c1f3b4-536a-49a6-b265-4caac94f7314 | /mnt/scratch/spatial_soma/source_h5ad/33c1f3b4-536a-49a6-b265-4caac94f7314.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200903_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/33c1f3b4-536a-49a6-b265-4caac94f7314.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 90926645 | 44588 | 342.0996232170091 | 5.2.0 | 0 | -1 | |
| 7f479f74-5a7e-4666-9f0d-3af0b341eb0d | https://datasets.cellxgene.cziscience.com/be61eadd-b38d-4456-aa12-29ce0c247a3a.h5ad | be61eadd-b38d-4456-aa12-29ce0c247a3a | /mnt/scratch/spatial_soma/source_h5ad/be61eadd-b38d-4456-aa12-29ce0c247a3a.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/be61eadd-b38d-4456-aa12-29ce0c247a3a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 28851232 | 28422 | 212.97751741608613 | 5.2.0 | 0 | -1 | |
| 7139f99f-c610-43b8-bb06-4280acb1c987 | https://datasets.cellxgene.cziscience.com/6fc2f970-d6e5-48e4-b206-d73f9c3a121b.h5ad | 6fc2f970-d6e5-48e4-b206-d73f9c3a121b | /mnt/scratch/spatial_soma/source_h5ad/6fc2f970-d6e5-48e4-b206-d73f9c3a121b.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/6fc2f970-d6e5-48e4-b206-d73f9c3a121b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17632320 | 23145 | 139.0753942536185 | 5.2.0 | 0 | -1 | |
| 6ebb6e9b-efd0-4e02-a49a-4bf3c732203b | https://datasets.cellxgene.cziscience.com/69ad7901-e71f-499a-b2f2-b0781e98d20a.h5ad | 69ad7901-e71f-499a-b2f2-b0781e98d20a | /mnt/scratch/spatial_soma/source_h5ad/69ad7901-e71f-499a-b2f2-b0781e98d20a.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/69ad7901-e71f-499a-b2f2-b0781e98d20a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 27515289 | 17704 | 323.0515702666064 | 5.2.0 | 0 | -1 | |
| 6d62fc4d-052e-4bb4-92ed-55785502a02c | https://datasets.cellxgene.cziscience.com/342667ea-cf29-4a0e-920f-6e6dec201342.h5ad | 342667ea-cf29-4a0e-920f-6e6dec201342 | /mnt/scratch/spatial_soma/source_h5ad/342667ea-cf29-4a0e-920f-6e6dec201342.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/342667ea-cf29-4a0e-920f-6e6dec201342.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 30016680 | 24675 | 257.7990273556231 | 5.2.0 | 0 | -1 | |
| 6a7c4462-334e-45a4-8aa4-28d3733bbbac | https://datasets.cellxgene.cziscience.com/cfce2591-688c-41c1-893b-349b33f128c3.h5ad | cfce2591-688c-41c1-893b-349b33f128c3 | /mnt/scratch/spatial_soma/source_h5ad/cfce2591-688c-41c1-893b-349b33f128c3.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200121_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/cfce2591-688c-41c1-893b-349b33f128c3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22545989 | 18730 | 248.055953016551 | 5.2.0 | 0 | -1 | |
| 5f84ba14-4431-4d49-a88f-514cad5a30c8 | https://datasets.cellxgene.cziscience.com/b90c6714-9990-4bc2-87b2-1eca9c333a7d.h5ad | b90c6714-9990-4bc2-87b2-1eca9c333a7d | /mnt/scratch/spatial_soma/source_h5ad/b90c6714-9990-4bc2-87b2-1eca9c333a7d.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_21 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/b90c6714-9990-4bc2-87b2-1eca9c333a7d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17942013 | 22852 | 146.94862594083668 | 5.2.0 | 0 | -1 | |
| 5c451b91-eb50-47f9-a268-467018a09023 | https://datasets.cellxgene.cziscience.com/911ac418-7ccf-4a3b-ad73-5db79a911789.h5ad | 911ac418-7ccf-4a3b-ad73-5db79a911789 | /mnt/scratch/spatial_soma/source_h5ad/911ac418-7ccf-4a3b-ad73-5db79a911789.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_16 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/911ac418-7ccf-4a3b-ad73-5db79a911789.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 19448842 | 13147 | 188.31855176085799 | 5.2.0 | 0 | -1 | |
| 55158af8-7de6-48d5-8aa3-0088ebd7cd4a | https://datasets.cellxgene.cziscience.com/08a5ec39-269d-42fe-aa7e-95b709301acf.h5ad | 08a5ec39-269d-42fe-aa7e-95b709301acf | /mnt/scratch/spatial_soma/source_h5ad/08a5ec39-269d-42fe-aa7e-95b709301acf.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_23 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/08a5ec39-269d-42fe-aa7e-95b709301acf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18242220 | 16234 | 220.37901934212147 | 5.2.0 | 0 | -1 | |
| 53ea4f06-0319-4b13-8e9d-e2581023aab7 | https://datasets.cellxgene.cziscience.com/988d3139-ad95-4656-90f9-867fcd4f1cbb.h5ad | 988d3139-ad95-4656-90f9-867fcd4f1cbb | /mnt/scratch/spatial_soma/source_h5ad/988d3139-ad95-4656-90f9-867fcd4f1cbb.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/988d3139-ad95-4656-90f9-867fcd4f1cbb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 27183779 | 17777 | 320.54778646565785 | 5.2.0 | 0 | -1 | |
| 51e353b3-c8fe-4e8c-b912-e75c9bc28a66 | https://datasets.cellxgene.cziscience.com/73959640-f161-49f1-b873-04adcf52343c.h5ad | 73959640-f161-49f1-b873-04adcf52343c | /mnt/scratch/spatial_soma/source_h5ad/73959640-f161-49f1-b873-04adcf52343c.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_15 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/73959640-f161-49f1-b873-04adcf52343c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 33415601 | 20245 | 356.2725117312917 | 5.2.0 | 0 | -1 | |
| 4ebe33a1-c8ba-4238-9724-bd8b3a977521 | https://datasets.cellxgene.cziscience.com/fb429d1f-9bac-47cd-8b53-72820e942b75.h5ad | fb429d1f-9bac-47cd-8b53-72820e942b75 | /mnt/scratch/spatial_soma/source_h5ad/fb429d1f-9bac-47cd-8b53-72820e942b75.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200131_26 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/fb429d1f-9bac-47cd-8b53-72820e942b75.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 30626718 | 17909 | 271.76855212463005 | 5.2.0 | 0 | -1 | |
| 4d31941b-7abc-4963-bf0c-2021998bc3bc | https://datasets.cellxgene.cziscience.com/9508bb1a-4bc0-4285-ba19-3f2d930e4143.h5ad | 9508bb1a-4bc0-4285-ba19-3f2d930e4143 | /mnt/scratch/spatial_soma/source_h5ad/9508bb1a-4bc0-4285-ba19-3f2d930e4143.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_11 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9508bb1a-4bc0-4285-ba19-3f2d930e4143.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 33916207 | 25166 | 313.66256059763174 | 5.2.0 | 0 | -1 | |
| 43600c3c-6aa4-490a-bf80-bd74a52edfa4 | https://datasets.cellxgene.cziscience.com/02ae6fef-5140-4e61-88a8-23540685118b.h5ad | 02ae6fef-5140-4e61-88a8-23540685118b | /mnt/scratch/spatial_soma/source_h5ad/02ae6fef-5140-4e61-88a8-23540685118b.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_16 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/02ae6fef-5140-4e61-88a8-23540685118b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17614554 | 23857 | 137.01563482416063 | 5.2.0 | 0 | -1 | |
| 3bf0da2c-f0d7-4078-a152-d6a4f97ea43f | https://datasets.cellxgene.cziscience.com/a05b00eb-a407-4ae5-be48-5ae6d965e2fd.h5ad | a05b00eb-a407-4ae5-be48-5ae6d965e2fd | /mnt/scratch/spatial_soma/source_h5ad/a05b00eb-a407-4ae5-be48-5ae6d965e2fd.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a05b00eb-a407-4ae5-be48-5ae6d965e2fd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16536317 | 10419 | 201.57193588636144 | 5.2.0 | 0 | -1 | |
| 3679ae7d-d70e-4c09-a8bb-78b8ae1006ff | https://datasets.cellxgene.cziscience.com/bfa2695d-0d7f-43d5-8126-5f25415701d6.h5ad | bfa2695d-0d7f-43d5-8126-5f25415701d6 | /mnt/scratch/spatial_soma/source_h5ad/bfa2695d-0d7f-43d5-8126-5f25415701d6.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200131_25 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/bfa2695d-0d7f-43d5-8126-5f25415701d6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11805960 | 10701 | 211.29632744603308 | 5.2.0 | 0 | -1 | |
| 34cb364a-c405-478e-8cdd-48a69ae5c5b4 | https://datasets.cellxgene.cziscience.com/ad4978f3-d73d-469b-b5d4-3d6c0b78be1b.h5ad | ad4978f3-d73d-469b-b5d4-3d6c0b78be1b | /mnt/scratch/spatial_soma/source_h5ad/ad4978f3-d73d-469b-b5d4-3d6c0b78be1b.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ad4978f3-d73d-469b-b5d4-3d6c0b78be1b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 35633391 | 29921 | 275.3637578957923 | 5.2.0 | 0 | -1 | |
| 2d4998cf-bd56-4e59-b57d-a04682a36ab1 | https://datasets.cellxgene.cziscience.com/dfe81b76-64b7-47e7-8730-a272cd0a4f23.h5ad | dfe81b76-64b7-47e7-8730-a272cd0a4f23 | /mnt/scratch/spatial_soma/source_h5ad/dfe81b76-64b7-47e7-8730-a272cd0a4f23.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dfe81b76-64b7-47e7-8730-a272cd0a4f23.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 36097143 | 20866 | 376.4101888239241 | 5.2.0 | 0 | -1 | |
| 28ab6eb8-dfa4-4536-9f26-7e06c1b98e8e | https://datasets.cellxgene.cziscience.com/a283e417-6d35-44d3-adf3-f62a51cf7ff2.h5ad | a283e417-6d35-44d3-adf3-f62a51cf7ff2 | /mnt/scratch/spatial_soma/source_h5ad/a283e417-6d35-44d3-adf3-f62a51cf7ff2.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_15 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a283e417-6d35-44d3-adf3-f62a51cf7ff2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 29319499 | 25741 | 246.2679771570646 | 5.2.0 | 0 | -1 | |
| 141b77bf-65b5-47d3-b860-d9ef25caa0e0 | https://datasets.cellxgene.cziscience.com/eba9b82f-a3e9-4f17-91e5-ba4bb7796190.h5ad | eba9b82f-a3e9-4f17-91e5-ba4bb7796190 | /mnt/scratch/spatial_soma/source_h5ad/eba9b82f-a3e9-4f17-91e5-ba4bb7796190.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200131_24 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/eba9b82f-a3e9-4f17-91e5-ba4bb7796190.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16847377 | 12488 | 288.7415919282511 | 5.2.0 | 0 | -1 | |
| 0f68a90c-afc0-46dc-ad88-cf63a9fc5b56 | https://datasets.cellxgene.cziscience.com/497e378c-cdea-4df5-be4e-87de8cb6d171.h5ad | 497e378c-cdea-4df5-be4e-87de8cb6d171 | /mnt/scratch/spatial_soma/source_h5ad/497e378c-cdea-4df5-be4e-87de8cb6d171.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/497e378c-cdea-4df5-be4e-87de8cb6d171.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18956583 | 12531 | 196.19040778868407 | 5.2.0 | 0 | -1 | |
| 0d049f5a-19b1-4055-a377-011a9570032c | https://datasets.cellxgene.cziscience.com/03bc9035-3e80-498b-9937-555c1cdb87a5.h5ad | 03bc9035-3e80-498b-9937-555c1cdb87a5 | /mnt/scratch/spatial_soma/source_h5ad/03bc9035-3e80-498b-9937-555c1cdb87a5.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/03bc9035-3e80-498b-9937-555c1cdb87a5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 42571130 | 23921 | 396.5585050792191 | 5.2.0 | 0 | -1 | |
| 0ae96eac-ff08-4870-9bc3-cd12418af7e4 | https://datasets.cellxgene.cziscience.com/df2fd22a-9c5b-41ca-8c60-f727046378e7.h5ad | df2fd22a-9c5b-41ca-8c60-f727046378e7 | /mnt/scratch/spatial_soma/source_h5ad/df2fd22a-9c5b-41ca-8c60-f727046378e7.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/df2fd22a-9c5b-41ca-8c60-f727046378e7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 37323479 | 29769 | 285.0246229298935 | 5.2.0 | 0 | -1 | |
| 0738f538-ff2f-4346-b2eb-72704c291188 | https://datasets.cellxgene.cziscience.com/a6554b87-fa7d-4896-972d-79231c56e3a3.h5ad | a6554b87-fa7d-4896-972d-79231c56e3a3 | /mnt/scratch/spatial_soma/source_h5ad/a6554b87-fa7d-4896-972d-79231c56e3a3.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a6554b87-fa7d-4896-972d-79231c56e3a3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 12814765 | 14010 | 159.40049964311206 | 5.2.0 | 0 | -1 | |
| 0737011b-45a6-49f6-8b5a-b85c35160bac | https://datasets.cellxgene.cziscience.com/dee2a9af-cb36-4693-9278-8f5e55ac43d5.h5ad | dee2a9af-cb36-4693-9278-8f5e55ac43d5 | /mnt/scratch/spatial_soma/source_h5ad/dee2a9af-cb36-4693-9278-8f5e55ac43d5.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dee2a9af-cb36-4693-9278-8f5e55ac43d5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 26493899 | 18377 | 298.6156608804484 | 5.2.0 | 0 | -1 | |
| 02f8bb42-0322-4906-b9ad-b92a5ce73a2d | https://datasets.cellxgene.cziscience.com/a358926a-88b5-45c3-9e87-f16b83751540.h5ad | a358926a-88b5-45c3-9e87-f16b83751540 | /mnt/scratch/spatial_soma/source_h5ad/a358926a-88b5-45c3-9e87-f16b83751540.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a358926a-88b5-45c3-9e87-f16b83751540.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 29645462 | 19421 | 350.25606302456106 | 5.2.0 | 0 | -1 | |
| e387b643-a223-4cbe-a9ec-d903f688d586 | https://datasets.cellxgene.cziscience.com/649da560-4123-49f5-9609-005a4e4c515d.h5ad | 649da560-4123-49f5-9609-005a4e4c515d | /mnt/scratch/spatial_soma/source_h5ad/649da560-4123-49f5-9609-005a4e4c515d.h5ad | thymus visium sample TA11556495 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/649da560-4123-49f5-9609-005a4e4c515d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 191253057 | 4992 | 3097.3379407051284 | 5.2.0 | 0 | -1 | |
| dce86f11-28ae-48bc-aa5e-58dc976037b3 | https://datasets.cellxgene.cziscience.com/96643214-e7f5-4c5e-a9ab-97ff89d2c21f.h5ad | 96643214-e7f5-4c5e-a9ab-97ff89d2c21f | /mnt/scratch/spatial_soma/source_h5ad/96643214-e7f5-4c5e-a9ab-97ff89d2c21f.h5ad | thymus visium sample WSSS_F_IMMsp11765867 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/96643214-e7f5-4c5e-a9ab-97ff89d2c21f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 128395698 | 4992 | 2872.112580128205 | 5.2.0 | 0 | -1 | |
| dbc2f08c-17f6-42c5-9a35-095e606c3958 | https://datasets.cellxgene.cziscience.com/96213c58-f6af-4f4a-920f-868a4bedcfb3.h5ad | 96213c58-f6af-4f4a-920f-868a4bedcfb3 | /mnt/scratch/spatial_soma/source_h5ad/96213c58-f6af-4f4a-920f-868a4bedcfb3.h5ad | thymus visium sample WSSS_THYst9142088 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/96213c58-f6af-4f4a-920f-868a4bedcfb3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 175932956 | 4992 | 1788.7646233974358 | 5.2.0 | 0 | -1 | |
| d551b400-b2e5-454d-b5a9-ece03e6b4739 | https://datasets.cellxgene.cziscience.com/7ab97753-e374-41cb-846b-c942b37abc00.h5ad | 7ab97753-e374-41cb-846b-c942b37abc00 | /mnt/scratch/spatial_soma/source_h5ad/7ab97753-e374-41cb-846b-c942b37abc00.h5ad | thymus visium sample WSSS_THYst9142086 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/7ab97753-e374-41cb-846b-c942b37abc00.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 168194096 | 4992 | 1143.3689903846155 | 5.2.0 | 0 | -1 | |
| d50a5a5c-17e7-486b-81a8-5af7d53de414 | https://datasets.cellxgene.cziscience.com/10b1c044-1787-4ef4-83d0-a8a1c4237279.h5ad | 10b1c044-1787-4ef4-83d0-a8a1c4237279 | /mnt/scratch/spatial_soma/source_h5ad/10b1c044-1787-4ef4-83d0-a8a1c4237279.h5ad | thymus visium sample TA11486163 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/10b1c044-1787-4ef4-83d0-a8a1c4237279.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 169992678 | 4992 | 1066.7431891025642 | 5.2.0 | 0 | -1 | |
| c447ff21-49b9-404c-8f70-e2fb7c73cf25 | https://datasets.cellxgene.cziscience.com/a4e2cc24-5c85-4c84-9b70-86d8d07965ad.h5ad | a4e2cc24-5c85-4c84-9b70-86d8d07965ad | /mnt/scratch/spatial_soma/source_h5ad/a4e2cc24-5c85-4c84-9b70-86d8d07965ad.h5ad | thymus visium sample WSSS_F_IMMsp11604689 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/a4e2cc24-5c85-4c84-9b70-86d8d07965ad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 110417285 | 4992 | 1417.6778846153845 | 5.2.0 | 0 | -1 | |
| b80d2efd-3602-4419-b8e7-8fdeaf431f05 | https://datasets.cellxgene.cziscience.com/4db15243-ae0e-443b-aebf-fa009e587758.h5ad | 4db15243-ae0e-443b-aebf-fa009e587758 | /mnt/scratch/spatial_soma/source_h5ad/4db15243-ae0e-443b-aebf-fa009e587758.h5ad | thymus visium sample WSSS_THYst9518033 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/4db15243-ae0e-443b-aebf-fa009e587758.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 169185994 | 4992 | 1237.3808092948718 | 5.2.0 | 0 | -1 | |
| a614ec2c-5c14-425e-afb9-6c897aba159f | https://datasets.cellxgene.cziscience.com/152c58db-dde4-4e65-b295-a69804a004a1.h5ad | 152c58db-dde4-4e65-b295-a69804a004a1 | /mnt/scratch/spatial_soma/source_h5ad/152c58db-dde4-4e65-b295-a69804a004a1.h5ad | thymus visium sample WSSS_THYst9142089 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/152c58db-dde4-4e65-b295-a69804a004a1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 172382541 | 4992 | 1474.2646233974358 | 5.2.0 | 0 | -1 | |
| 93b68c0a-f70f-4361-94da-03efd5f1ad9b | https://datasets.cellxgene.cziscience.com/a4fcea51-42d7-4b09-812b-fb42c194f9cb.h5ad | a4fcea51-42d7-4b09-812b-fb42c194f9cb | /mnt/scratch/spatial_soma/source_h5ad/a4fcea51-42d7-4b09-812b-fb42c194f9cb.h5ad | thymus visium sample WSSS_F_IMMsp11765868 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/a4fcea51-42d7-4b09-812b-fb42c194f9cb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 130777892 | 4992 | 3088.074519230769 | 5.2.0 | 0 | -1 | |
| 8a7c6bd5-1aa0-457e-8be0-b91e9283dd9c | https://datasets.cellxgene.cziscience.com/4e26def5-d7a1-4006-879d-09727ac3ca67.h5ad | 4e26def5-d7a1-4006-879d-09727ac3ca67 | /mnt/scratch/spatial_soma/source_h5ad/4e26def5-d7a1-4006-879d-09727ac3ca67.h5ad | thymus visium sample WSSS_F_IMMsp11604690 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/4e26def5-d7a1-4006-879d-09727ac3ca67.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 107985250 | 4992 | 1206.798076923077 | 5.2.0 | 0 | -1 | |
| 8941ecc9-05f8-431d-9a32-0baaf3f145ea | https://datasets.cellxgene.cziscience.com/50a91656-d733-4cfb-92f8-bc24efdf8f30.h5ad | 50a91656-d733-4cfb-92f8-bc24efdf8f30 | /mnt/scratch/spatial_soma/source_h5ad/50a91656-d733-4cfb-92f8-bc24efdf8f30.h5ad | thymus visium sample WSSS_F_IMMsp11604688 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/50a91656-d733-4cfb-92f8-bc24efdf8f30.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 103282232 | 4992 | 645.7572115384615 | 5.2.0 | 0 | -1 | |
| 7e7b7257-5a43-40bd-8711-32b84dde074d | https://datasets.cellxgene.cziscience.com/d4d1e624-eaf7-4c7e-a796-dc6c5acaebdb.h5ad | d4d1e624-eaf7-4c7e-a796-dc6c5acaebdb | /mnt/scratch/spatial_soma/source_h5ad/d4d1e624-eaf7-4c7e-a796-dc6c5acaebdb.h5ad | thymus visium sample WSSS_F_IMMsp11604685 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d4d1e624-eaf7-4c7e-a796-dc6c5acaebdb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 104390751 | 4992 | 686.5328525641025 | 5.2.0 | 0 | -1 | |
| 73632d4a-2160-43da-8006-92968cd1a102 | https://datasets.cellxgene.cziscience.com/b7b403e8-875b-4962-bf15-f9c98ba10530.h5ad | b7b403e8-875b-4962-bf15-f9c98ba10530 | /mnt/scratch/spatial_soma/source_h5ad/b7b403e8-875b-4962-bf15-f9c98ba10530.h5ad | thymus visium sample TA11556494 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/b7b403e8-875b-4962-bf15-f9c98ba10530.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 189687116 | 4992 | 2986.5332532051284 | 5.2.0 | 0 | -1 | |
| 7158766e-e1a3-4895-a81a-8b043fdd3bb6 | https://datasets.cellxgene.cziscience.com/25b506de-4351-4d1e-bf49-5bc2253c2a9e.h5ad | 25b506de-4351-4d1e-bf49-5bc2253c2a9e | /mnt/scratch/spatial_soma/source_h5ad/25b506de-4351-4d1e-bf49-5bc2253c2a9e.h5ad | thymus visium sample TA11486161 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/25b506de-4351-4d1e-bf49-5bc2253c2a9e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 162747251 | 4992 | 665.7580128205128 | 5.2.0 | 0 | -1 | |
| 6bf0b3fa-7f96-400e-ae3e-314614e377e7 | https://datasets.cellxgene.cziscience.com/d5a2d8bc-f673-4392-93b9-f8ea3bf030d4.h5ad | d5a2d8bc-f673-4392-93b9-f8ea3bf030d4 | /mnt/scratch/spatial_soma/source_h5ad/d5a2d8bc-f673-4392-93b9-f8ea3bf030d4.h5ad | thymus visium sample WSSS_F_IMMsp10864183 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d5a2d8bc-f673-4392-93b9-f8ea3bf030d4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 124447791 | 4992 | 2310.427483974359 | 5.2.0 | 0 | -1 | |
| 6955f319-f26c-436a-84ca-16723c759ba7 | https://datasets.cellxgene.cziscience.com/0c864886-643a-456a-8c6b-e013cb7b6848.h5ad | 0c864886-643a-456a-8c6b-e013cb7b6848 | /mnt/scratch/spatial_soma/source_h5ad/0c864886-643a-456a-8c6b-e013cb7b6848.h5ad | thymus visium sample TA11556493 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/0c864886-643a-456a-8c6b-e013cb7b6848.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 188714335 | 4992 | 2869.903846153846 | 5.2.0 | 0 | -1 | |
| 5d2733c4-f91c-448b-a234-fbce0f46d4b9 | https://datasets.cellxgene.cziscience.com/5621f27c-e220-427f-a643-2584fdfced65.h5ad | 5621f27c-e220-427f-a643-2584fdfced65 | /mnt/scratch/spatial_soma/source_h5ad/5621f27c-e220-427f-a643-2584fdfced65.h5ad | thymus visium sample WSSS_F_IMMsp11604686 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/5621f27c-e220-427f-a643-2584fdfced65.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 105917565 | 4992 | 781.8219150641025 | 5.2.0 | 0 | -1 | |
| 4cceac62-9513-42a4-90e5-2878dbb0192c | https://datasets.cellxgene.cziscience.com/f9c351e3-32ef-4804-a73a-e259f37630dd.h5ad | f9c351e3-32ef-4804-a73a-e259f37630dd | /mnt/scratch/spatial_soma/source_h5ad/f9c351e3-32ef-4804-a73a-e259f37630dd.h5ad | thymus visium sample WSSS_THYst9518030 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/f9c351e3-32ef-4804-a73a-e259f37630dd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 172748906 | 4992 | 1530.0943509615386 | 5.2.0 | 0 | -1 | |
| 48900359-9ba9-4337-b1c6-a2393b17d670 | https://datasets.cellxgene.cziscience.com/0529827f-3562-4c3c-a836-8005a13407fc.h5ad | 0529827f-3562-4c3c-a836-8005a13407fc | /mnt/scratch/spatial_soma/source_h5ad/0529827f-3562-4c3c-a836-8005a13407fc.h5ad | thymus visium sample WSSS_THYst9142087 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/0529827f-3562-4c3c-a836-8005a13407fc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 166112211 | 4992 | 922.0989583333334 | 5.2.0 | 0 | -1 | |
| 43848156-ba94-47b5-8409-7535cea75678 | https://datasets.cellxgene.cziscience.com/5429320d-b5d0-4847-b0ef-b4a98d97e3ee.h5ad | 5429320d-b5d0-4847-b0ef-b4a98d97e3ee | /mnt/scratch/spatial_soma/source_h5ad/5429320d-b5d0-4847-b0ef-b4a98d97e3ee.h5ad | thymus visium sample TA11556492 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/5429320d-b5d0-4847-b0ef-b4a98d97e3ee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 186173757 | 4992 | 2486.7203525641025 | 5.2.0 | 0 | -1 | |
| 3a29c3df-b45a-403d-bd76-259640245432 | https://datasets.cellxgene.cziscience.com/f67443eb-2d2f-4cbd-9a2f-b0279569db7f.h5ad | f67443eb-2d2f-4cbd-9a2f-b0279569db7f | /mnt/scratch/spatial_soma/source_h5ad/f67443eb-2d2f-4cbd-9a2f-b0279569db7f.h5ad | thymus visium sample TA11486164 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/f67443eb-2d2f-4cbd-9a2f-b0279569db7f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 168089111 | 4992 | 976.0376602564103 | 5.2.0 | 0 | -1 | |
| 35d08a93-c6d2-4954-9a14-3710c331d28c | https://datasets.cellxgene.cziscience.com/d94b7b7e-bea3-4110-a373-f7a715628f14.h5ad | d94b7b7e-bea3-4110-a373-f7a715628f14 | /mnt/scratch/spatial_soma/source_h5ad/d94b7b7e-bea3-4110-a373-f7a715628f14.h5ad | thymus visium sample WSSS_F_IMMsp11604687 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d94b7b7e-bea3-4110-a373-f7a715628f14.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 105694316 | 4992 | 839.8157051282051 | 5.2.0 | 0 | -1 | |
| 2ce7f866-1f9e-486b-b555-c06410e188cb | https://datasets.cellxgene.cziscience.com/e4206270-4eac-48dc-9186-2668a8680afd.h5ad | e4206270-4eac-48dc-9186-2668a8680afd | /mnt/scratch/spatial_soma/source_h5ad/e4206270-4eac-48dc-9186-2668a8680afd.h5ad | thymus visium sample TA11556496 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/e4206270-4eac-48dc-9186-2668a8680afd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 189241513 | 4992 | 2966.229967948718 | 5.2.0 | 0 | -1 | |
| 24cd1930-ac79-4bf4-adb9-7970644fabf7 | https://datasets.cellxgene.cziscience.com/dff53c9d-051b-4827-b954-edc9086a831d.h5ad | dff53c9d-051b-4827-b954-edc9086a831d | /mnt/scratch/spatial_soma/source_h5ad/dff53c9d-051b-4827-b954-edc9086a831d.h5ad | thymus visium sample WSSS_F_IMMsp9838711 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/dff53c9d-051b-4827-b954-edc9086a831d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 123434393 | 4992 | 2402.8477564102564 | 5.2.0 | 0 | -1 | |
| 22a8b852-6bd0-488c-9c4d-140c17f82fce | https://datasets.cellxgene.cziscience.com/3d217e55-75de-475e-b23c-ea450a075f5d.h5ad | 3d217e55-75de-475e-b23c-ea450a075f5d | /mnt/scratch/spatial_soma/source_h5ad/3d217e55-75de-475e-b23c-ea450a075f5d.h5ad | thymus visium sample WSSS_F_IMMsp9838716 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/3d217e55-75de-475e-b23c-ea450a075f5d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 135515038 | 4992 | 3369.2606169871797 | 5.2.0 | 0 | -1 | |
| 1b2d0349-d2b2-4138-b86f-863b4410402c | https://datasets.cellxgene.cziscience.com/e60328a3-3cf7-4049-b388-a3f27007ca35.h5ad | e60328a3-3cf7-4049-b388-a3f27007ca35 | /mnt/scratch/spatial_soma/source_h5ad/e60328a3-3cf7-4049-b388-a3f27007ca35.h5ad | thymus visium sample TA11486162 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/e60328a3-3cf7-4049-b388-a3f27007ca35.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 165608980 | 4992 | 784.1280048076923 | 5.2.0 | 0 | -1 | |
| 1a381d53-3af7-48a3-9a45-93e40cbeb924 | https://datasets.cellxgene.cziscience.com/edf6a6a9-b078-4d1d-ac75-2880689b1423.h5ad | edf6a6a9-b078-4d1d-ac75-2880689b1423 | /mnt/scratch/spatial_soma/source_h5ad/edf6a6a9-b078-4d1d-ac75-2880689b1423.h5ad | thymus visium sample WSSS_THYst9518032 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/edf6a6a9-b078-4d1d-ac75-2880689b1423.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 166987195 | 4992 | 1059.304887820513 | 5.2.0 | 0 | -1 | |
| 04ea2093-332f-4684-99f1-c353cd62c35b | https://datasets.cellxgene.cziscience.com/ae7e8fad-f2e6-4957-bfc8-350ab28c7516.h5ad | ae7e8fad-f2e6-4957-bfc8-350ab28c7516 | /mnt/scratch/spatial_soma/source_h5ad/ae7e8fad-f2e6-4957-bfc8-350ab28c7516.h5ad | thymus visium sample WSSS_F_IMMsp11765870 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/ae7e8fad-f2e6-4957-bfc8-350ab28c7516.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 123022030 | 4992 | 2212.83453525641 | 5.2.0 | 0 | -1 | |
| f1e4a73c-33ab-4564-bf92-742f8b286da6 | https://datasets.cellxgene.cziscience.com/27316497-c369-430a-81d3-fb0c1a25665a.h5ad | 27316497-c369-430a-81d3-fb0c1a25665a | /mnt/scratch/spatial_soma/source_h5ad/27316497-c369-430a-81d3-fb0c1a25665a.h5ad | WSSS_F_IMMsp10864182 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/27316497-c369-430a-81d3-fb0c1a25665a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 152697143 | 4992 | 2494.9639423076924 | 5.2.0 | 0 | -1 | |
| e21487a3-936c-4114-8cf2-cfcc60c7eb6d | https://datasets.cellxgene.cziscience.com/b08be52f-397d-4f99-b395-f2b705bf9f3b.h5ad | b08be52f-397d-4f99-b395-f2b705bf9f3b | /mnt/scratch/spatial_soma/source_h5ad/b08be52f-397d-4f99-b395-f2b705bf9f3b.h5ad | WSSS_F_IMMsp9838717 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/b08be52f-397d-4f99-b395-f2b705bf9f3b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 142962038 | 4992 | 2290.1748798076924 | 5.2.0 | 0 | -1 | |
| dcc10fd8-23c1-4d3f-b07a-ab7cb120ad00 | https://datasets.cellxgene.cziscience.com/14ee8289-8c77-45d0-914e-f41d756a4ea9.h5ad | 14ee8289-8c77-45d0-914e-f41d756a4ea9 | /mnt/scratch/spatial_soma/source_h5ad/14ee8289-8c77-45d0-914e-f41d756a4ea9.h5ad | WSSS_F_IMMsp9838711 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/14ee8289-8c77-45d0-914e-f41d756a4ea9.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 131127896 | 4992 | 2402.8477564102564 | 5.2.0 | 0 | -1 | |
| c4e2bde2-3c51-4d10-9fd6-053e212b4824 | https://datasets.cellxgene.cziscience.com/01864c80-31ca-4221-8f94-834da7096c4d.h5ad | 01864c80-31ca-4221-8f94-834da7096c4d | /mnt/scratch/spatial_soma/source_h5ad/01864c80-31ca-4221-8f94-834da7096c4d.h5ad | WSSS_F_IMMsp9838715 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/01864c80-31ca-4221-8f94-834da7096c4d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 153212285 | 4992 | 2655.5310496794873 | 5.2.0 | 0 | -1 | |
| aede7ec2-a32a-418f-b8f9-3a5c9b26245a | https://datasets.cellxgene.cziscience.com/3a5b7130-5240-49b1-8f9d-1523a57ac083.h5ad | 3a5b7130-5240-49b1-8f9d-1523a57ac083 | /mnt/scratch/spatial_soma/source_h5ad/3a5b7130-5240-49b1-8f9d-1523a57ac083.h5ad | WSSS_F_IMMsp9838716 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/3a5b7130-5240-49b1-8f9d-1523a57ac083.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 163669128 | 4992 | 3369.2606169871797 | 5.2.0 | 0 | -1 | |
| 83de2c2c-c102-4b18-9e7d-da36e8ad76ca | https://datasets.cellxgene.cziscience.com/e930ffde-a201-42ef-8dea-c16252a2dde2.h5ad | e930ffde-a201-42ef-8dea-c16252a2dde2 | /mnt/scratch/spatial_soma/source_h5ad/e930ffde-a201-42ef-8dea-c16252a2dde2.h5ad | WSSS_F_IMMsp10864184 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/e930ffde-a201-42ef-8dea-c16252a2dde2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 171134355 | 4992 | 2126.6812900641025 | 5.2.0 | 0 | -1 | |
| 60608f13-0141-462c-acac-4556dc6b542b | https://datasets.cellxgene.cziscience.com/b1d3bded-1484-476e-ab8f-6ac9c1f59737.h5ad | b1d3bded-1484-476e-ab8f-6ac9c1f59737 | /mnt/scratch/spatial_soma/source_h5ad/b1d3bded-1484-476e-ab8f-6ac9c1f59737.h5ad | WSSS_F_IMMsp9838712 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/b1d3bded-1484-476e-ab8f-6ac9c1f59737.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 136694229 | 4992 | 2308.608373397436 | 5.2.0 | 0 | -1 | |
| 4ee03124-5782-4187-968a-c178f8b212e1 | https://datasets.cellxgene.cziscience.com/5c3b042f-29e6-4636-9edf-4a4835df2514.h5ad | 5c3b042f-29e6-4636-9edf-4a4835df2514 | /mnt/scratch/spatial_soma/source_h5ad/5c3b042f-29e6-4636-9edf-4a4835df2514.h5ad | WSSS_F_IMMsp10864181 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/5c3b042f-29e6-4636-9edf-4a4835df2514.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 186790409 | 4992 | 2501.925280448718 | 5.2.0 | 0 | -1 | |
| 41bc3efb-b4e1-4676-8cb9-3a128450d9e1 | https://datasets.cellxgene.cziscience.com/53252188-36dd-430a-a0ce-5054efb4c531.h5ad | 53252188-36dd-430a-a0ce-5054efb4c531 | /mnt/scratch/spatial_soma/source_h5ad/53252188-36dd-430a-a0ce-5054efb4c531.h5ad | WSSS_F_IMMsp9838710 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/53252188-36dd-430a-a0ce-5054efb4c531.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 116729877 | 4992 | 1218.3956330128206 | 5.2.0 | 0 | -1 | |
| 001b01fe-5c70-4bda-a3aa-ee09b7899b14 | https://datasets.cellxgene.cziscience.com/bc76d9d0-cc9e-442b-b456-d457612792e0.h5ad | bc76d9d0-cc9e-442b-b456-d457612792e0 | /mnt/scratch/spatial_soma/source_h5ad/bc76d9d0-cc9e-442b-b456-d457612792e0.h5ad | WSSS_F_IMMsp10864183 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/bc76d9d0-cc9e-442b-b456-d457612792e0.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 159694450 | 4992 | 2310.427483974359 | 5.2.0 | 0 | -1 | |
| e48cdb8c-c436-418c-bfa9-7946044d408a | https://datasets.cellxgene.cziscience.com/f7c21cf1-9179-42c7-9f29-97f65a15ec18.h5ad | f7c21cf1-9179-42c7-9f29-97f65a15ec18 | /mnt/scratch/spatial_soma/source_h5ad/f7c21cf1-9179-42c7-9f29-97f65a15ec18.h5ad | Ctrl2_D1_IGO_11440_8 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/f7c21cf1-9179-42c7-9f29-97f65a15ec18.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 63747303 | 4992 | 2377.869391025641 | 5.2.0 | 0 | -1 | |
| c9d294c7-857f-4ae5-8abe-6480d1584c6f | https://datasets.cellxgene.cziscience.com/4673376f-ddae-4307-a32e-b7e20a060717.h5ad | 4673376f-ddae-4307-a32e-b7e20a060717 | /mnt/scratch/spatial_soma/source_h5ad/4673376f-ddae-4307-a32e-b7e20a060717.h5ad | DT2_D1_IGO_11440_12 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/4673376f-ddae-4307-a32e-b7e20a060717.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 71360546 | 4992 | 2881.438501602564 | 5.2.0 | 0 | -1 | |
| b681d612-87ba-4234-8d37-5a7fd83526cb | https://datasets.cellxgene.cziscience.com/978db759-be5c-42a6-98df-7337b18e5b5c.h5ad | 978db759-be5c-42a6-98df-7337b18e5b5c | /mnt/scratch/spatial_soma/source_h5ad/978db759-be5c-42a6-98df-7337b18e5b5c.h5ad | Ctrl1_A1 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/978db759-be5c-42a6-98df-7337b18e5b5c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 71654627 | 4992 | 2749.1983173076924 | 5.2.0 | 0 | -1 | |
| 939794ef-3106-4126-a40c-541ee3c4b077 | https://datasets.cellxgene.cziscience.com/2900c9f7-e887-4ca1-92f6-db9a15bc85bb.h5ad | 2900c9f7-e887-4ca1-92f6-db9a15bc85bb | /mnt/scratch/spatial_soma/source_h5ad/2900c9f7-e887-4ca1-92f6-db9a15bc85bb.h5ad | DT2_C1_IGO_11440_11 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/2900c9f7-e887-4ca1-92f6-db9a15bc85bb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 75407854 | 4992 | 2922.430689102564 | 5.2.0 | 0 | -1 | |
| 89b7ced8-7d2e-4c75-b0a8-45bb07d15c80 | https://datasets.cellxgene.cziscience.com/4f235fdd-4717-480b-b333-998f0fdb0dad.h5ad | 4f235fdd-4717-480b-b333-998f0fdb0dad | /mnt/scratch/spatial_soma/source_h5ad/4f235fdd-4717-480b-b333-998f0fdb0dad.h5ad | DT1_B1_IGO_11440_10 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/4f235fdd-4717-480b-b333-998f0fdb0dad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 78975927 | 4992 | 3024.846955128205 | 5.2.0 | 0 | -1 | |
| 76df68b2-9608-45ce-9dd8-06b66905558f | https://datasets.cellxgene.cziscience.com/1e5a995f-a2dc-492d-95f2-0965f334f49b.h5ad | 1e5a995f-a2dc-492d-95f2-0965f334f49b | /mnt/scratch/spatial_soma/source_h5ad/1e5a995f-a2dc-492d-95f2-0965f334f49b.h5ad | Ctrl2_C1_IGO_11440_7 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/1e5a995f-a2dc-492d-95f2-0965f334f49b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 69502975 | 4992 | 2504.6738782051284 | 5.2.0 | 0 | -1 | |
| 5e044266-bba1-4cc6-aa95-6b1a5b0811d7 | https://datasets.cellxgene.cziscience.com/84df7927-46ec-45b8-bef7-b276a0135916.h5ad | 84df7927-46ec-45b8-bef7-b276a0135916 | /mnt/scratch/spatial_soma/source_h5ad/84df7927-46ec-45b8-bef7-b276a0135916.h5ad | Ctrl1_B1_IGO_11440_6 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/84df7927-46ec-45b8-bef7-b276a0135916.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 72704408 | 4992 | 2854.7736378205127 | 5.2.0 | 0 | -1 | |
| 3dd69434-56fa-45da-8a23-579dcf3dc0e1 | https://datasets.cellxgene.cziscience.com/a8e66290-4a80-4d60-890a-983c306ff89f.h5ad | a8e66290-4a80-4d60-890a-983c306ff89f | /mnt/scratch/spatial_soma/source_h5ad/a8e66290-4a80-4d60-890a-983c306ff89f.h5ad | DT1_A1_IGO_11440_9 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/a8e66290-4a80-4d60-890a-983c306ff89f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 78139164 | 4992 | 2959.883814102564 | 5.2.0 | 0 | -1 | |
| ec2ea7ec-92cf-4b48-ac5e-1bb6e6e26ef4 | https://datasets.cellxgene.cziscience.com/93840b7c-097b-4acb-a363-fd59862d961a.h5ad | 93840b7c-097b-4acb-a363-fd59862d961a | /mnt/scratch/spatial_soma/source_h5ad/93840b7c-097b-4acb-a363-fd59862d961a.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #16 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/93840b7c-097b-4acb-a363-fd59862d961a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 32070324 | 4992 | 413.36638621794873 | 5.2.0 | 0 | -1 | |
| e28f0c23-7922-4a18-85c5-b2201c06b681 | https://datasets.cellxgene.cziscience.com/a373424b-1476-4603-add4-b4743e6cf506.h5ad | a373424b-1476-4603-add4-b4743e6cf506 | /mnt/scratch/spatial_soma/source_h5ad/a373424b-1476-4603-add4-b4743e6cf506.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #25 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/a373424b-1476-4603-add4-b4743e6cf506.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 36570362 | 4992 | 558.5072115384615 | 5.2.0 | 0 | -1 | |
| dcc7c14c-1617-4d94-9253-6e73a344fcb0 | https://datasets.cellxgene.cziscience.com/e97735ff-24f5-4604-954c-59005d40ebe1.h5ad | e97735ff-24f5-4604-954c-59005d40ebe1 | /mnt/scratch/spatial_soma/source_h5ad/e97735ff-24f5-4604-954c-59005d40ebe1.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #8 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/e97735ff-24f5-4604-954c-59005d40ebe1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 32615078 | 4992 | 727.4246794871794 | 5.2.0 | 0 | -1 | |
| db5ddd64-6a42-4138-89e0-7448fc4fc923 | https://datasets.cellxgene.cziscience.com/25aa9050-1ca4-473a-a9af-d69868432515.h5ad | 25aa9050-1ca4-473a-a9af-d69868432515 | /mnt/scratch/spatial_soma/source_h5ad/25aa9050-1ca4-473a-a9af-d69868432515.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #18 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/25aa9050-1ca4-473a-a9af-d69868432515.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 30465911 | 4992 | 383.40384615384613 | 5.2.0 | 0 | -1 | |
| d06dd93c-d4fc-49bd-8817-057f70680dca | https://datasets.cellxgene.cziscience.com/5f35dfb2-ae4b-411f-94dd-d62ca79b8a57.h5ad | 5f35dfb2-ae4b-411f-94dd-d62ca79b8a57 | /mnt/scratch/spatial_soma/source_h5ad/5f35dfb2-ae4b-411f-94dd-d62ca79b8a57.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #31 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/5f35dfb2-ae4b-411f-94dd-d62ca79b8a57.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 57794881 | 4992 | 538.7710336538462 | 5.2.0 | 0 | -1 | |
| b2130fdc-5a8b-456d-8d71-492d1a656d26 | https://datasets.cellxgene.cziscience.com/00e6855f-1eaf-4038-8a95-0048c2bd87dc.h5ad | 00e6855f-1eaf-4038-8a95-0048c2bd87dc | /mnt/scratch/spatial_soma/source_h5ad/00e6855f-1eaf-4038-8a95-0048c2bd87dc.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #13 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/00e6855f-1eaf-4038-8a95-0048c2bd87dc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 64343401 | 4992 | 581.771233974359 | 5.2.0 | 0 | -1 | |
| ad2f25f0-acc4-4c4e-b796-6c85f8821964 | https://datasets.cellxgene.cziscience.com/941c5003-bd56-45cc-a241-551c5407a274.h5ad | 941c5003-bd56-45cc-a241-551c5407a274 | /mnt/scratch/spatial_soma/source_h5ad/941c5003-bd56-45cc-a241-551c5407a274.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #1 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/941c5003-bd56-45cc-a241-551c5407a274.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 29460611 | 4992 | 500.2852564102564 | 5.2.0 | 0 | -1 | |
| 9fc34171-1273-44b3-8e16-6bea49dfd969 | https://datasets.cellxgene.cziscience.com/d23b1eb5-ff4f-419f-8f6a-b887caf659b2.h5ad | d23b1eb5-ff4f-419f-8f6a-b887caf659b2 | /mnt/scratch/spatial_soma/source_h5ad/d23b1eb5-ff4f-419f-8f6a-b887caf659b2.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #15 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/d23b1eb5-ff4f-419f-8f6a-b887caf659b2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 34640196 | 4992 | 441.03745993589746 | 5.2.0 | 0 | -1 | |
| 980d342b-126d-4724-9e55-96cbcbb7d7fe | https://datasets.cellxgene.cziscience.com/a54e96b5-3694-4193-8535-884f67f0b002.h5ad | a54e96b5-3694-4193-8535-884f67f0b002 | /mnt/scratch/spatial_soma/source_h5ad/a54e96b5-3694-4193-8535-884f67f0b002.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #27 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/a54e96b5-3694-4193-8535-884f67f0b002.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 64836403 | 4992 | 561.1015625 | 5.2.0 | 0 | -1 | |
| 968c9b50-c7e2-40d6-8335-69a6802e06a8 | https://datasets.cellxgene.cziscience.com/8735cd2c-f540-4b6a-84b2-b9d56bcd9d4c.h5ad | 8735cd2c-f540-4b6a-84b2-b9d56bcd9d4c | /mnt/scratch/spatial_soma/source_h5ad/8735cd2c-f540-4b6a-84b2-b9d56bcd9d4c.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #24 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/8735cd2c-f540-4b6a-84b2-b9d56bcd9d4c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 75067268 | 4992 | 858.7688301282051 | 5.2.0 | 0 | -1 | |
| 953bfc7b-2004-4041-8b50-92c31a505bf7 | https://datasets.cellxgene.cziscience.com/70160846-45a0-42f2-bcd4-5ee56141b00c.h5ad | 70160846-45a0-42f2-bcd4-5ee56141b00c | /mnt/scratch/spatial_soma/source_h5ad/70160846-45a0-42f2-bcd4-5ee56141b00c.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #4 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/70160846-45a0-42f2-bcd4-5ee56141b00c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 33211149 | 4992 | 768.4889823717949 | 5.2.0 | 0 | -1 | |
| 5afc26df-9e84-4fc2-96a0-4ce4404af16b | https://datasets.cellxgene.cziscience.com/d7c8dba7-f26a-4877-8549-eee56a56c551.h5ad | d7c8dba7-f26a-4877-8549-eee56a56c551 | /mnt/scratch/spatial_soma/source_h5ad/d7c8dba7-f26a-4877-8549-eee56a56c551.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #14 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/d7c8dba7-f26a-4877-8549-eee56a56c551.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 56465201 | 4992 | 342.46534455128204 | 5.2.0 | 0 | -1 | |
| 59a3e980-ac11-42b5-b2a8-b948509a2154 | https://datasets.cellxgene.cziscience.com/a217deb6-42de-4bbd-8b71-2bd409670ba6.h5ad | a217deb6-42de-4bbd-8b71-2bd409670ba6 | /mnt/scratch/spatial_soma/source_h5ad/a217deb6-42de-4bbd-8b71-2bd409670ba6.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #2 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/a217deb6-42de-4bbd-8b71-2bd409670ba6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 33182092 | 4992 | 696.5761217948718 | 5.2.0 | 0 | -1 | |
| 53ff2250-4434-4f59-9fbb-1a474c21d9c0 | https://datasets.cellxgene.cziscience.com/0497b34f-f13c-4d16-b808-78bdf7711371.h5ad | 0497b34f-f13c-4d16-b808-78bdf7711371 | /mnt/scratch/spatial_soma/source_h5ad/0497b34f-f13c-4d16-b808-78bdf7711371.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #5 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/0497b34f-f13c-4d16-b808-78bdf7711371.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 30479983 | 4992 | 731.885016025641 | 5.2.0 | 0 | -1 | |
| 4b1a2706-7c40-4fe6-a422-be79603e0162 | https://datasets.cellxgene.cziscience.com/9f20cc8f-d7df-41fb-9771-f6eda4791acc.h5ad | 9f20cc8f-d7df-41fb-9771-f6eda4791acc | /mnt/scratch/spatial_soma/source_h5ad/9f20cc8f-d7df-41fb-9771-f6eda4791acc.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #22 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/9f20cc8f-d7df-41fb-9771-f6eda4791acc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 48652240 | 4992 | 291.3529647435897 | 5.2.0 | 0 | -1 | |
| 4825ab17-d48f-4758-9fa8-2a291d7c7324 | https://datasets.cellxgene.cziscience.com/66a12568-be2c-406d-ae73-e4a864a7f5e8.h5ad | 66a12568-be2c-406d-ae73-e4a864a7f5e8 | /mnt/scratch/spatial_soma/source_h5ad/66a12568-be2c-406d-ae73-e4a864a7f5e8.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #3 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/66a12568-be2c-406d-ae73-e4a864a7f5e8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 29492567 | 4992 | 670.3305288461538 | 5.2.0 | 0 | -1 | |
| 3a55b986-2517-4e4b-be24-9c676849fc60 | https://datasets.cellxgene.cziscience.com/75b787d6-08f0-46de-a3f8-e646d2f8e99f.h5ad | 75b787d6-08f0-46de-a3f8-e646d2f8e99f | /mnt/scratch/spatial_soma/source_h5ad/75b787d6-08f0-46de-a3f8-e646d2f8e99f.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #10 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/75b787d6-08f0-46de-a3f8-e646d2f8e99f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 28421147 | 4992 | 308.50460737179486 | 5.2.0 | 0 | -1 | |
| 36a9ccdd-f1a3-4f15-aaad-8eae728cd66c | https://datasets.cellxgene.cziscience.com/fee901ce-87ea-46cd-835a-c15906a4aa6d.h5ad | fee901ce-87ea-46cd-835a-c15906a4aa6d | /mnt/scratch/spatial_soma/source_h5ad/fee901ce-87ea-46cd-835a-c15906a4aa6d.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #7 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/fee901ce-87ea-46cd-835a-c15906a4aa6d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 30049655 | 4992 | 649.8411458333334 | 5.2.0 | 0 | -1 | |
| 344f27ab-428c-4a0e-a7e1-d4441f2f9b80 | https://datasets.cellxgene.cziscience.com/164c4d14-90bb-4cb5-952b-221d23f84b99.h5ad | 164c4d14-90bb-4cb5-952b-221d23f84b99 | /mnt/scratch/spatial_soma/source_h5ad/164c4d14-90bb-4cb5-952b-221d23f84b99.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #30 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/164c4d14-90bb-4cb5-952b-221d23f84b99.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 71076732 | 4992 | 767.8271233974359 | 5.2.0 | 0 | -1 | |
| 2abc33b4-d8df-45b6-bc85-db78f067fe59 | https://datasets.cellxgene.cziscience.com/495822af-84fe-4f1d-9099-abb24923d700.h5ad | 495822af-84fe-4f1d-9099-abb24923d700 | /mnt/scratch/spatial_soma/source_h5ad/495822af-84fe-4f1d-9099-abb24923d700.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #9 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/495822af-84fe-4f1d-9099-abb24923d700.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 34488679 | 4992 | 421.63721955128204 | 5.2.0 | 0 | -1 | |
| 194062ef-cdb9-4fb9-a00d-2478172fdc06 | https://datasets.cellxgene.cziscience.com/8cb4919b-cd71-437b-bff9-0eabd4bee51b.h5ad | 8cb4919b-cd71-437b-bff9-0eabd4bee51b | /mnt/scratch/spatial_soma/source_h5ad/8cb4919b-cd71-437b-bff9-0eabd4bee51b.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #21 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/8cb4919b-cd71-437b-bff9-0eabd4bee51b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 71502162 | 4992 | 599.390625 | 5.2.0 | 0 | -1 | |
| 1218b9f0-4f95-47a0-b69a-847c92087ded | https://datasets.cellxgene.cziscience.com/49157fb3-4cff-44aa-8722-84b180bc7963.h5ad | 49157fb3-4cff-44aa-8722-84b180bc7963 | /mnt/scratch/spatial_soma/source_h5ad/49157fb3-4cff-44aa-8722-84b180bc7963.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #26 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/49157fb3-4cff-44aa-8722-84b180bc7963.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 31547800 | 4992 | 404.9833733974359 | 5.2.0 | 0 | -1 | |
| 0819e386-e7fd-4212-b732-60e468689f89 | https://datasets.cellxgene.cziscience.com/4ef3631b-78ca-4c44-90b3-5c73933331b2.h5ad | 4ef3631b-78ca-4c44-90b3-5c73933331b2 | /mnt/scratch/spatial_soma/source_h5ad/4ef3631b-78ca-4c44-90b3-5c73933331b2.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #6 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/4ef3631b-78ca-4c44-90b3-5c73933331b2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 30226206 | 4992 | 790.0528846153846 | 5.2.0 | 0 | -1 | |
| 00ba8341-48ec-4e4e-bb56-be0dd2dd7913 | https://datasets.cellxgene.cziscience.com/b4f8e778-d8eb-42c1-86f9-c2d8aeb42877.h5ad | b4f8e778-d8eb-42c1-86f9-c2d8aeb42877 | /mnt/scratch/spatial_soma/source_h5ad/b4f8e778-d8eb-42c1-86f9-c2d8aeb42877.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #17 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/b4f8e778-d8eb-42c1-86f9-c2d8aeb42877.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 25032289 | 4992 | 114.7207532051282 | 5.2.0 | 0 | -1 | |
| f354e4c3-eb53-4917-8476-39a860e30124 | https://datasets.cellxgene.cziscience.com/a535948e-9281-4ab5-9aa1-26c1490154f3.h5ad | a535948e-9281-4ab5-9aa1-26c1490154f3 | /mnt/scratch/spatial_soma/source_h5ad/a535948e-9281-4ab5-9aa1-26c1490154f3.h5ad | 1142243F | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/a535948e-9281-4ab5-9aa1-26c1490154f3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 1855115036 | 4992 | 2732.1726762820513 | 5.2.0 | 0 | -1 | |
| aafb780d-f52d-4285-a1f4-57376cabe1ee | https://datasets.cellxgene.cziscience.com/5f12d182-dd50-4ae1-8852-aa15cd524314.h5ad | 5f12d182-dd50-4ae1-8852-aa15cd524314 | /mnt/scratch/spatial_soma/source_h5ad/5f12d182-dd50-4ae1-8852-aa15cd524314.h5ad | CID4290 | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/5f12d182-dd50-4ae1-8852-aa15cd524314.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 239419897 | 4992 | 1932.661858974359 | 5.2.0 | 0 | -1 | |
| a6b0f655-820c-4082-98e2-42f33c2a71a7 | https://datasets.cellxgene.cziscience.com/1293e631-bd9f-4f8f-b129-24e1024d3b91.h5ad | 1293e631-bd9f-4f8f-b129-24e1024d3b91 | /mnt/scratch/spatial_soma/source_h5ad/1293e631-bd9f-4f8f-b129-24e1024d3b91.h5ad | CID44971 | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/1293e631-bd9f-4f8f-b129-24e1024d3b91.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 214732034 | 4992 | 1567.953325320513 | 5.2.0 | 0 | -1 | |
| 80466231-7133-4097-88ae-40cb6cce1a33 | https://datasets.cellxgene.cziscience.com/4dd46223-8dd7-4d67-a442-bb7cbd13a573.h5ad | 4dd46223-8dd7-4d67-a442-bb7cbd13a573 | /mnt/scratch/spatial_soma/source_h5ad/4dd46223-8dd7-4d67-a442-bb7cbd13a573.h5ad | CID4465 | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/4dd46223-8dd7-4d67-a442-bb7cbd13a573.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 214287998 | 4992 | 1929.9447115384614 | 5.2.0 | 0 | -1 | |
| 6f0858c0-c590-4740-b022-c152e7608d66 | https://datasets.cellxgene.cziscience.com/6714e427-ece9-41de-991c-285c808d88be.h5ad | 6714e427-ece9-41de-991c-285c808d88be | /mnt/scratch/spatial_soma/source_h5ad/6714e427-ece9-41de-991c-285c808d88be.h5ad | CID4535 | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/6714e427-ece9-41de-991c-285c808d88be.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 216466125 | 4992 | 1814.526642628205 | 5.2.0 | 0 | -1 | |
| 24dbd26d-1a3a-4a0c-a4e9-3d95f373217f | https://datasets.cellxgene.cziscience.com/803deeea-fc66-4a0b-8067-0e288a836378.h5ad | 803deeea-fc66-4a0b-8067-0e288a836378 | /mnt/scratch/spatial_soma/source_h5ad/803deeea-fc66-4a0b-8067-0e288a836378.h5ad | 1160920F | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/803deeea-fc66-4a0b-8067-0e288a836378.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 1837420666 | 4992 | 3488.0072115384614 | 5.2.0 | 0 | -1 | |
| f7af19e4-fc64-46d0-ab3c-d4f70dd670f4 | https://datasets.cellxgene.cziscience.com/61553af8-1db2-49c3-bac4-b7f5676db24f.h5ad | 61553af8-1db2-49c3-bac4-b7f5676db24f | /mnt/scratch/spatial_soma/source_h5ad/61553af8-1db2-49c3-bac4-b7f5676db24f.h5ad | S7_Rec/Sig A798015 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/61553af8-1db2-49c3-bac4-b7f5676db24f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 28036894 | 4992 | 1736.8842147435898 | 5.2.0 | 0 | -1 | |
| c0d43178-d368-4381-aecb-4e63c553d1fa | https://datasets.cellxgene.cziscience.com/ca636b88-6741-4212-a3ce-3cf320fce840.h5ad | ca636b88-6741-4212-a3ce-3cf320fce840 | /mnt/scratch/spatial_soma/source_h5ad/ca636b88-6741-4212-a3ce-3cf320fce840.h5ad | S5_Rec A121573 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/ca636b88-6741-4212-a3ce-3cf320fce840.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 47752521 | 4992 | 3390.903846153846 | 5.2.0 | 0 | -1 | |
| b5753bee-dae1-4fa6-80c0-e78faa77b0aa | https://datasets.cellxgene.cziscience.com/754330ea-8b34-447f-8e29-a73020b067a1.h5ad | 754330ea-8b34-447f-8e29-a73020b067a1 | /mnt/scratch/spatial_soma/source_h5ad/754330ea-8b34-447f-8e29-a73020b067a1.h5ad | S1_Cec A551763 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/754330ea-8b34-447f-8e29-a73020b067a1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 28288964 | 4992 | 1898.304487179487 | 5.2.0 | 0 | -1 | |
| a73f7983-c94b-4005-aaed-30d35b61688a | https://datasets.cellxgene.cziscience.com/e4687beb-0f9c-42b8-a04d-57240d31af12.h5ad | e4687beb-0f9c-42b8-a04d-57240d31af12 | /mnt/scratch/spatial_soma/source_h5ad/e4687beb-0f9c-42b8-a04d-57240d31af12.h5ad | S1_Cec A551763 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/e4687beb-0f9c-42b8-a04d-57240d31af12.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 24901470 | 4992 | 1512.6668669871794 | 5.2.0 | 0 | -1 | |
| 879bb6df-cc2a-40f1-854b-5be9629d03b2 | https://datasets.cellxgene.cziscience.com/f62a3800-0e7b-4646-bce9-1d2b408a7e09.h5ad | f62a3800-0e7b-4646-bce9-1d2b408a7e09 | /mnt/scratch/spatial_soma/source_h5ad/f62a3800-0e7b-4646-bce9-1d2b408a7e09.h5ad | S2_Col_R A595688 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/f62a3800-0e7b-4646-bce9-1d2b408a7e09.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 33720535 | 4992 | 2288.7125400641025 | 5.2.0 | 0 | -1 | |
| 7fe57023-bbcf-4254-9aa4-bd2abf7d83ad | https://datasets.cellxgene.cziscience.com/58854f12-ddd4-468e-932f-d19f7b7cb8c0.h5ad | 58854f12-ddd4-468e-932f-d19f7b7cb8c0 | /mnt/scratch/spatial_soma/source_h5ad/58854f12-ddd4-468e-932f-d19f7b7cb8c0.h5ad | S2_Col_R A595688 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/58854f12-ddd4-468e-932f-d19f7b7cb8c0.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 22667205 | 4992 | 1397.4897836538462 | 5.2.0 | 0 | -1 | |
| 7ba1a805-0afe-4264-b21e-0ce2ef1aa3bd | https://datasets.cellxgene.cziscience.com/7a80fa26-3a68-4268-b2a6-baa057c8b9cc.h5ad | 7a80fa26-3a68-4268-b2a6-baa057c8b9cc | /mnt/scratch/spatial_soma/source_h5ad/7a80fa26-3a68-4268-b2a6-baa057c8b9cc.h5ad | S6_Rec A938797 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/7a80fa26-3a68-4268-b2a6-baa057c8b9cc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 34592003 | 4992 | 2258.6326121794873 | 5.2.0 | 0 | -1 | |
| 74e80fd1-d9cd-4132-af0f-9c5d37489392 | https://datasets.cellxgene.cziscience.com/595f5e48-78c6-49c7-ba4a-b1dcc9d90c60.h5ad | 595f5e48-78c6-49c7-ba4a-b1dcc9d90c60 | /mnt/scratch/spatial_soma/source_h5ad/595f5e48-78c6-49c7-ba4a-b1dcc9d90c60.h5ad | S4_Col_Sig A120838 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/595f5e48-78c6-49c7-ba4a-b1dcc9d90c60.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 30390286 | 4992 | 2067.6824919871797 | 5.2.0 | 0 | -1 | |
| 729f397a-0812-4b52-a7d1-b377107ffb41 | https://datasets.cellxgene.cziscience.com/e2c87883-9c41-4c16-88aa-f27d871fe414.h5ad | e2c87883-9c41-4c16-88aa-f27d871fe414 | /mnt/scratch/spatial_soma/source_h5ad/e2c87883-9c41-4c16-88aa-f27d871fe414.h5ad | S3_Col_R A416371 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/e2c87883-9c41-4c16-88aa-f27d871fe414.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 48332442 | 4992 | 3504.175080128205 | 5.2.0 | 0 | -1 | |
| 2d821164-4681-47dd-b2ac-eb5fddb5b621 | https://datasets.cellxgene.cziscience.com/e944a0f7-e398-4e8f-a060-94dae8a08fb3.h5ad | e944a0f7-e398-4e8f-a060-94dae8a08fb3 | /mnt/scratch/spatial_soma/source_h5ad/e944a0f7-e398-4e8f-a060-94dae8a08fb3.h5ad | S5_Rec A121573 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/e944a0f7-e398-4e8f-a060-94dae8a08fb3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 45876219 | 4992 | 3235.3701923076924 | 5.2.0 | 0 | -1 | |
| 297b5b89-6197-4135-acff-501c8d4199d0 | https://datasets.cellxgene.cziscience.com/ca15a122-57cc-448f-8bc5-57de4e885903.h5ad | ca15a122-57cc-448f-8bc5-57de4e885903 | /mnt/scratch/spatial_soma/source_h5ad/ca15a122-57cc-448f-8bc5-57de4e885903.h5ad | S7_Rec/Sig A798015 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/ca15a122-57cc-448f-8bc5-57de4e885903.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 32025829 | 4992 | 2101.43890224359 | 5.2.0 | 0 | -1 | |
| 2916b663-5fe0-4a53-a2da-f6875214e3e6 | https://datasets.cellxgene.cziscience.com/4440f121-526b-4b82-8e34-306797ed0180.h5ad | 4440f121-526b-4b82-8e34-306797ed0180 | /mnt/scratch/spatial_soma/source_h5ad/4440f121-526b-4b82-8e34-306797ed0180.h5ad | S4_Col_Sig A120838 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/4440f121-526b-4b82-8e34-306797ed0180.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 21993747 | 4992 | 1390.8377403846155 | 5.2.0 | 0 | -1 | |
| 1e191a00-65da-4170-b9b7-eb94359d7de4 | https://datasets.cellxgene.cziscience.com/ab21e9c2-5a2d-441a-bc10-6ae796986672.h5ad | ab21e9c2-5a2d-441a-bc10-6ae796986672 | /mnt/scratch/spatial_soma/source_h5ad/ab21e9c2-5a2d-441a-bc10-6ae796986672.h5ad | S3_Col_R A416371 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/ab21e9c2-5a2d-441a-bc10-6ae796986672.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 41792203 | 4992 | 2942.809094551282 | 5.2.0 | 0 | -1 | |
| 15b98664-a52b-4877-aed9-03f4d73d2d2c | https://datasets.cellxgene.cziscience.com/832d5d7c-2385-41bc-9438-9c96267415a2.h5ad | 832d5d7c-2385-41bc-9438-9c96267415a2 | /mnt/scratch/spatial_soma/source_h5ad/832d5d7c-2385-41bc-9438-9c96267415a2.h5ad | S6_Rec A938797 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/832d5d7c-2385-41bc-9438-9c96267415a2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 44905241 | 4992 | 3263.5070112179487 | 5.2.0 | 0 | -1 | |
| e2811f45-81cc-4819-aee0-dbaa6b3bb52c | https://datasets.cellxgene.cziscience.com/b1cf4429-9949-4c31-b8df-a4019265aa1d.h5ad | b1cf4429-9949-4c31-b8df-a4019265aa1d | /mnt/scratch/spatial_soma/source_h5ad/b1cf4429-9949-4c31-b8df-a4019265aa1d.h5ad | 4B_Hh.anti_IL10r | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/b1cf4429-9949-4c31-b8df-a4019265aa1d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 89351139 | 4992 | 3558.685296474359 | 5.2.0 | 0 | -1 | |
| b5c3a60d-1a81-4be9-abf4-070c5630e73c | https://datasets.cellxgene.cziscience.com/15e635ae-5896-42bd-a96e-9f57d9ac5bdf.h5ad | 15e635ae-5896-42bd-a96e-9f57d9ac5bdf | /mnt/scratch/spatial_soma/source_h5ad/15e635ae-5896-42bd-a96e-9f57d9ac5bdf.h5ad | 2B_Hh.anti_IL10r | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/15e635ae-5896-42bd-a96e-9f57d9ac5bdf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 744107589 | 4992 | 2719.224358974359 | 5.2.0 | 0 | -1 | |
| ab682d61-79b8-4d66-ae9e-aab154e55aad | https://datasets.cellxgene.cziscience.com/9d7377cf-174e-43e9-b7e4-ccbc26d3c49e.h5ad | 9d7377cf-174e-43e9-b7e4-ccbc26d3c49e | /mnt/scratch/spatial_soma/source_h5ad/9d7377cf-174e-43e9-b7e4-ccbc26d3c49e.h5ad | 3A_Hh | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/9d7377cf-174e-43e9-b7e4-ccbc26d3c49e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 81511598 | 4992 | 3577.562099358974 | 5.2.0 | 0 | -1 | |
| 7bb14472-12fa-46e4-a822-1b6eedcc8ffa | https://datasets.cellxgene.cziscience.com/82ff1a84-1f70-4e40-af8b-bcb7ad3746a7.h5ad | 82ff1a84-1f70-4e40-af8b-bcb7ad3746a7 | /mnt/scratch/spatial_soma/source_h5ad/82ff1a84-1f70-4e40-af8b-bcb7ad3746a7.h5ad | 1B_Hh.anti_IL10r | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/82ff1a84-1f70-4e40-af8b-bcb7ad3746a7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 721304383 | 4992 | 2024.832532051282 | 5.2.0 | 0 | -1 | |
| 227b0f38-7a6a-4a93-9d2e-d00b3e416a42 | https://datasets.cellxgene.cziscience.com/c8293177-6e6d-4f04-8ea8-6925e3cedb5c.h5ad | c8293177-6e6d-4f04-8ea8-6925e3cedb5c | /mnt/scratch/spatial_soma/source_h5ad/c8293177-6e6d-4f04-8ea8-6925e3cedb5c.h5ad | 4A_Hh | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/c8293177-6e6d-4f04-8ea8-6925e3cedb5c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 90504844 | 4992 | 3869.6983173076924 | 5.2.0 | 0 | -1 | |
| 18f66a91-fe76-4bd6-aa46-5ab39ded35a0 | https://datasets.cellxgene.cziscience.com/2c97934c-a375-4d1e-b5f4-ede60ae33b64.h5ad | 2c97934c-a375-4d1e-b5f4-ede60ae33b64 | /mnt/scratch/spatial_soma/source_h5ad/2c97934c-a375-4d1e-b5f4-ede60ae33b64.h5ad | 2A_Hh | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/2c97934c-a375-4d1e-b5f4-ede60ae33b64.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 622668708 | 4992 | 4362.958533653846 | 5.2.0 | 0 | -1 | |
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| 69d2ee89-95b1-40af-bfba-5741a1e79c52 | https://datasets.cellxgene.cziscience.com/349b3537-c17c-4c6c-873e-441ccf0169aa.h5ad | 349b3537-c17c-4c6c-873e-441ccf0169aa | /mnt/scratch/spatial_soma/source_h5ad/349b3537-c17c-4c6c-873e-441ccf0169aa.h5ad | PCW7.0 WSSS_THYst9699524 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/349b3537-c17c-4c6c-873e-441ccf0169aa.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 233780383 | 4992 | 1308.3173076923076 | 5.2.0 | 0 | -1 | |
| 613e528c-0c6a-4b5d-a269-5bdbafa8794a | https://datasets.cellxgene.cziscience.com/5a26422b-5766-44e6-a74f-163bbb502342.h5ad | 5a26422b-5766-44e6-a74f-163bbb502342 | /mnt/scratch/spatial_soma/source_h5ad/5a26422b-5766-44e6-a74f-163bbb502342.h5ad | PCW7.0 WSSS_THYst9699523 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/5a26422b-5766-44e6-a74f-163bbb502342.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 218781005 | 4992 | 1381.346955128205 | 5.2.0 | 0 | -1 | |
| 54801477-ac3e-47e3-8170-96c5b40d5c10 | https://datasets.cellxgene.cziscience.com/0f1e7119-0e24-49e3-9284-c711ace33334.h5ad | 0f1e7119-0e24-49e3-9284-c711ace33334 | /mnt/scratch/spatial_soma/source_h5ad/0f1e7119-0e24-49e3-9284-c711ace33334.h5ad | PCW8.1 WSSS_THYst9383362 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/0f1e7119-0e24-49e3-9284-c711ace33334.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 274920373 | 4992 | 884.0574919871794 | 5.2.0 | 0 | -1 | |
| 2c439dce-5aaf-4470-9dae-50ecfbc86e37 | https://datasets.cellxgene.cziscience.com/9fc9ab5c-7f4b-4cb6-b36c-31745def3cf7.h5ad | 9fc9ab5c-7f4b-4cb6-b36c-31745def3cf7 | /mnt/scratch/spatial_soma/source_h5ad/9fc9ab5c-7f4b-4cb6-b36c-31745def3cf7.h5ad | PCW8.1 WSSS_THYst9383360 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/9fc9ab5c-7f4b-4cb6-b36c-31745def3cf7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 245616878 | 4992 | 908.5270432692307 | 5.2.0 | 0 | -1 | |
| 254ecc3e-57cd-4f1e-8bdf-1b682cc2d309 | https://datasets.cellxgene.cziscience.com/c7ae9413-f41f-42bc-9e2a-68d46ad80e1b.h5ad | c7ae9413-f41f-42bc-9e2a-68d46ad80e1b | /mnt/scratch/spatial_soma/source_h5ad/c7ae9413-f41f-42bc-9e2a-68d46ad80e1b.h5ad | PCW8.1 WSSS_THYst9383359 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/c7ae9413-f41f-42bc-9e2a-68d46ad80e1b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 222786633 | 4992 | 863.8671875 | 5.2.0 | 0 | -1 | |
| 95e1779d-25d6-4274-bf2b-7db1f4380c0c | https://datasets.cellxgene.cziscience.com/c9859d31-4fe3-4169-8bc8-44336a93ce32.h5ad | c9859d31-4fe3-4169-8bc8-44336a93ce32 | /mnt/scratch/spatial_soma/source_h5ad/c9859d31-4fe3-4169-8bc8-44336a93ce32.h5ad | RZ_P6 (ACH0021)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/c9859d31-4fe3-4169-8bc8-44336a93ce32.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 169201414 | 4992 | 1080.1346153846155 | 5.2.0 | 0 | -1 | |
| f25a532c-faf6-4d65-9dac-47d6369508f6 | https://datasets.cellxgene.cziscience.com/2adde7e3-a34c-4888-888f-c66ca7ef460a.h5ad | 2adde7e3-a34c-4888-888f-c66ca7ef460a | /mnt/scratch/spatial_soma/source_h5ad/2adde7e3-a34c-4888-888f-c66ca7ef460a.h5ad | 6800STDY12499504 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/2adde7e3-a34c-4888-888f-c66ca7ef460a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 174054779 | 4992 | 474.90184294871796 | 5.2.0 | 0 | -1 | |
| c5ac3ec2-24b0-43cc-9aab-bb0ebbe205ce | https://datasets.cellxgene.cziscience.com/bd0f4c2f-789e-45ae-81c0-42ba0564ea75.h5ad | bd0f4c2f-789e-45ae-81c0-42ba0564ea75 | /mnt/scratch/spatial_soma/source_h5ad/bd0f4c2f-789e-45ae-81c0-42ba0564ea75.h5ad | 6800STDY12499507 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/bd0f4c2f-789e-45ae-81c0-42ba0564ea75.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 159694895 | 4992 | 1133.588141025641 | 5.2.0 | 0 | -1 | |
| c3f74413-9faa-43b5-93af-601c5af4acc8 | https://datasets.cellxgene.cziscience.com/72843b77-4ff1-419f-9920-4d2f83c5b8ed.h5ad | 72843b77-4ff1-419f-9920-4d2f83c5b8ed | /mnt/scratch/spatial_soma/source_h5ad/72843b77-4ff1-419f-9920-4d2f83c5b8ed.h5ad | 6800STDY12499407 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/72843b77-4ff1-419f-9920-4d2f83c5b8ed.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 145763248 | 4992 | 936.6951121794872 | 5.2.0 | 0 | -1 | |
| a6046b15-a095-43b0-9fb5-b36899d87fdb | https://datasets.cellxgene.cziscience.com/6bbbabf5-1574-4a54-aca0-2232f060aa78.h5ad | 6bbbabf5-1574-4a54-aca0-2232f060aa78 | /mnt/scratch/spatial_soma/source_h5ad/6bbbabf5-1574-4a54-aca0-2232f060aa78.h5ad | 6800STDY12499410 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/6bbbabf5-1574-4a54-aca0-2232f060aa78.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 200241643 | 4992 | 1716.3275240384614 | 5.2.0 | 0 | -1 | |
| a45125aa-7641-4bca-bca5-6d652e027d6f | https://datasets.cellxgene.cziscience.com/e9e3f687-9fac-4787-b5ec-65d4705d97d2.h5ad | e9e3f687-9fac-4787-b5ec-65d4705d97d2 | /mnt/scratch/spatial_soma/source_h5ad/e9e3f687-9fac-4787-b5ec-65d4705d97d2.h5ad | 6800STDY12499413 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/e9e3f687-9fac-4787-b5ec-65d4705d97d2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 168961285 | 4992 | 741.5044070512821 | 5.2.0 | 0 | -1 | |
| 81328f3f-31d4-47e3-9eae-e07512026ce1 | https://datasets.cellxgene.cziscience.com/aae49bb1-9dc3-4dd7-88a5-7c6cf7f17948.h5ad | aae49bb1-9dc3-4dd7-88a5-7c6cf7f17948 | /mnt/scratch/spatial_soma/source_h5ad/aae49bb1-9dc3-4dd7-88a5-7c6cf7f17948.h5ad | 6800STDY12499509 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/aae49bb1-9dc3-4dd7-88a5-7c6cf7f17948.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 168603152 | 4992 | 811.3639823717949 | 5.2.0 | 0 | -1 | |
| 75548d10-160d-4f3e-b317-99ad9630c62d | https://datasets.cellxgene.cziscience.com/713ae1ce-736b-49c6-bd62-7dd6ba866432.h5ad | 713ae1ce-736b-49c6-bd62-7dd6ba866432 | /mnt/scratch/spatial_soma/source_h5ad/713ae1ce-736b-49c6-bd62-7dd6ba866432.h5ad | 6800STDY12499506 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/713ae1ce-736b-49c6-bd62-7dd6ba866432.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 154206788 | 4992 | 947.6029647435897 | 5.2.0 | 0 | -1 | |
| 60ac2657-f325-46c7-817b-55bdab803105 | https://datasets.cellxgene.cziscience.com/352881b0-bdc9-4b93-9765-f67742347736.h5ad | 352881b0-bdc9-4b93-9765-f67742347736 | /mnt/scratch/spatial_soma/source_h5ad/352881b0-bdc9-4b93-9765-f67742347736.h5ad | 6800STDY12499409 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/352881b0-bdc9-4b93-9765-f67742347736.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 172413137 | 4992 | 929.2177483974359 | 5.2.0 | 0 | -1 | |
| 53d62b10-bae5-48ac-b16e-71be9ba6de59 | https://datasets.cellxgene.cziscience.com/2207a4c7-a22e-4437-a768-246468f76541.h5ad | 2207a4c7-a22e-4437-a768-246468f76541 | /mnt/scratch/spatial_soma/source_h5ad/2207a4c7-a22e-4437-a768-246468f76541.h5ad | 6800STDY12499502 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/2207a4c7-a22e-4437-a768-246468f76541.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 187485987 | 4992 | 708.1157852564103 | 5.2.0 | 0 | -1 | |
| 30437616-4939-40e0-83da-4cae8186d452 | https://datasets.cellxgene.cziscience.com/2d2f451d-4b2f-4d89-9b86-9b091c779c54.h5ad | 2d2f451d-4b2f-4d89-9b86-9b091c779c54 | /mnt/scratch/spatial_soma/source_h5ad/2d2f451d-4b2f-4d89-9b86-9b091c779c54.h5ad | 6800STDY12499503 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/2d2f451d-4b2f-4d89-9b86-9b091c779c54.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 181082786 | 4992 | 1026.2592147435898 | 5.2.0 | 0 | -1 | |
| 27cd5ac9-80ba-43f3-bb60-740593dabdd0 | https://datasets.cellxgene.cziscience.com/7cbda077-8b97-4191-89ce-12a85bfd0023.h5ad | 7cbda077-8b97-4191-89ce-12a85bfd0023 | /mnt/scratch/spatial_soma/source_h5ad/7cbda077-8b97-4191-89ce-12a85bfd0023.h5ad | 6800STDY12499505 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/7cbda077-8b97-4191-89ce-12a85bfd0023.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 171042416 | 4992 | 475.65564903846155 | 5.2.0 | 0 | -1 | |
| 252438d3-8143-48a9-9ac2-ef5991fb21b8 | https://datasets.cellxgene.cziscience.com/07ba9581-396c-4f54-b5a8-92286a2bdfd9.h5ad | 07ba9581-396c-4f54-b5a8-92286a2bdfd9 | /mnt/scratch/spatial_soma/source_h5ad/07ba9581-396c-4f54-b5a8-92286a2bdfd9.h5ad | 6800STDY12499408 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/07ba9581-396c-4f54-b5a8-92286a2bdfd9.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 235311631 | 4992 | 1626.4124599358975 | 5.2.0 | 0 | -1 | |
| 24c31c8c-5f6f-4f13-9f7b-abbedcdcd45f | https://datasets.cellxgene.cziscience.com/a0eef4e3-8d53-4128-a9f3-109326dbe5ef.h5ad | a0eef4e3-8d53-4128-a9f3-109326dbe5ef | /mnt/scratch/spatial_soma/source_h5ad/a0eef4e3-8d53-4128-a9f3-109326dbe5ef.h5ad | 6800STDY12499412 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/a0eef4e3-8d53-4128-a9f3-109326dbe5ef.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 145782695 | 4992 | 1199.1346153846155 | 5.2.0 | 0 | -1 | |
| 104cfa2a-8f7e-4dcc-a0a3-8fd46711c904 | https://datasets.cellxgene.cziscience.com/0fa3c093-1459-4bd7-91a9-3b64758aa745.h5ad | 0fa3c093-1459-4bd7-91a9-3b64758aa745 | /mnt/scratch/spatial_soma/source_h5ad/0fa3c093-1459-4bd7-91a9-3b64758aa745.h5ad | 6800STDY12499508 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/0fa3c093-1459-4bd7-91a9-3b64758aa745.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 173232426 | 4992 | 1152.7974759615386 | 5.2.0 | 0 | -1 | |
| 0671c0d4-f233-4cd3-a0d6-9a6b747bdd98 | https://datasets.cellxgene.cziscience.com/8e088e30-cb0e-4675-9782-f6d8c4a13152.h5ad | 8e088e30-cb0e-4675-9782-f6d8c4a13152 | /mnt/scratch/spatial_soma/source_h5ad/8e088e30-cb0e-4675-9782-f6d8c4a13152.h5ad | 6800STDY12499406 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/8e088e30-cb0e-4675-9782-f6d8c4a13152.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 209739234 | 4992 | 847.450921474359 | 5.2.0 | 0 | -1 | |
| 05f813a4-fc9e-4143-bba9-de93bdd8eece | https://datasets.cellxgene.cziscience.com/73d5fe18-3504-4c95-a2a0-0558ead645ec.h5ad | 73d5fe18-3504-4c95-a2a0-0558ead645ec | /mnt/scratch/spatial_soma/source_h5ad/73d5fe18-3504-4c95-a2a0-0558ead645ec.h5ad | 6800STDY12499411 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/73d5fe18-3504-4c95-a2a0-0558ead645ec.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 172749539 | 4992 | 1689.128205128205 | 5.2.0 | 0 | -1 | |
| f0973891-a40d-4a57-841a-8c5facd3a546 | https://datasets.cellxgene.cziscience.com/fe48b801-b63b-4ed8-9ebe-095102890afb.h5ad | fe48b801-b63b-4ed8-9ebe-095102890afb | /mnt/scratch/spatial_soma/source_h5ad/fe48b801-b63b-4ed8-9ebe-095102890afb.h5ad | Visium spatial - body_inguinal_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/fe48b801-b63b-4ed8-9ebe-095102890afb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 462824515 | 4992 | 633.3719951923077 | 5.2.0 | 0 | -1 | |
| ef9a2058-513b-44f7-9057-06c0df86f2a3 | https://datasets.cellxgene.cziscience.com/4a316aa4-9dc7-4445-9a7a-2f85c09eca2a.h5ad | 4a316aa4-9dc7-4445-9a7a-2f85c09eca2a | /mnt/scratch/spatial_soma/source_h5ad/4a316aa4-9dc7-4445-9a7a-2f85c09eca2a.h5ad | Visium spatial - bcc_face_forehead_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/4a316aa4-9dc7-4445-9a7a-2f85c09eca2a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 154847258 | 4992 | 1603.3525641025642 | 5.2.0 | 0 | -1 | |
| dee75ca4-8348-471e-bbeb-e2143209e3d0 | https://datasets.cellxgene.cziscience.com/67a3e38c-5185-434f-8d67-54ee8ef14a2f.h5ad | 67a3e38c-5185-434f-8d67-54ee8ef14a2f | /mnt/scratch/spatial_soma/source_h5ad/67a3e38c-5185-434f-8d67-54ee8ef14a2f.h5ad | Visium spatial - face_forehead_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/67a3e38c-5185-434f-8d67-54ee8ef14a2f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 121866923 | 4992 | 571.3719951923077 | 5.2.0 | 0 | -1 | |
| dce10ba0-1548-4f2f-9959-77d1090bf196 | https://datasets.cellxgene.cziscience.com/b5d858f4-9357-4d72-8b7b-357365b73e08.h5ad | b5d858f4-9357-4d72-8b7b-357365b73e08 | /mnt/scratch/spatial_soma/source_h5ad/b5d858f4-9357-4d72-8b7b-357365b73e08.h5ad | Visium spatial - face_temple_B_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/b5d858f4-9357-4d72-8b7b-357365b73e08.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 164247707 | 4992 | 898.6834935897435 | 5.2.0 | 0 | -1 | |
| da22c90e-3db0-449a-b926-94410031b1d1 | https://datasets.cellxgene.cziscience.com/61a24ea7-ed5e-4346-9679-dba78b7160ec.h5ad | 61a24ea7-ed5e-4346-9679-dba78b7160ec | /mnt/scratch/spatial_soma/source_h5ad/61a24ea7-ed5e-4346-9679-dba78b7160ec.h5ad | Visium spatial - face_glabella_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/61a24ea7-ed5e-4346-9679-dba78b7160ec.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 184838569 | 4992 | 1421.2994791666667 | 5.2.0 | 0 | -1 | |
| d7d70622-5dd8-4eae-8a6c-5036e78c48d1 | https://datasets.cellxgene.cziscience.com/0d4335e7-6a55-41d5-b3e6-0cbcb83e8703.h5ad | 0d4335e7-6a55-41d5-b3e6-0cbcb83e8703 | /mnt/scratch/spatial_soma/source_h5ad/0d4335e7-6a55-41d5-b3e6-0cbcb83e8703.h5ad | Visium spatial - bcc_face_cheek_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/0d4335e7-6a55-41d5-b3e6-0cbcb83e8703.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 253422138 | 4992 | 2290.1033653846152 | 5.2.0 | 0 | -1 | |
| d465e08b-b391-425f-9f15-bd3eff4681f7 | https://datasets.cellxgene.cziscience.com/433c545d-6e7e-4590-9efd-cba9d7674765.h5ad | 433c545d-6e7e-4590-9efd-cba9d7674765 | /mnt/scratch/spatial_soma/source_h5ad/433c545d-6e7e-4590-9efd-cba9d7674765.h5ad | Visium spatial - bcc_face_forehead_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/433c545d-6e7e-4590-9efd-cba9d7674765.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 147281295 | 4992 | 1534.2574118589744 | 5.2.0 | 0 | -1 | |
| c68e6ac8-c4d8-4869-ba08-9d157e4c06f8 | https://datasets.cellxgene.cziscience.com/22d34cde-87e7-4226-ace7-5eb3b85d54b4.h5ad | 22d34cde-87e7-4226-ace7-5eb3b85d54b4 | /mnt/scratch/spatial_soma/source_h5ad/22d34cde-87e7-4226-ace7-5eb3b85d54b4.h5ad | Visium spatial - face_temple1b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/22d34cde-87e7-4226-ace7-5eb3b85d54b4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 105467911 | 4992 | 767.5350560897435 | 5.2.0 | 0 | -1 | |
| b336b422-91ca-42b2-81a2-5c5a20ceefd7 | https://datasets.cellxgene.cziscience.com/567089d4-fcd0-43ed-9bbc-9a1c054f0289.h5ad | 567089d4-fcd0-43ed-9bbc-9a1c054f0289 | /mnt/scratch/spatial_soma/source_h5ad/567089d4-fcd0-43ed-9bbc-9a1c054f0289.h5ad | Visium spatial - body_thigh_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/567089d4-fcd0-43ed-9bbc-9a1c054f0289.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 443693797 | 4992 | 670.3421474358975 | 5.2.0 | 0 | -1 | |
| a7059a06-16ff-462f-a3ec-938054a81479 | https://datasets.cellxgene.cziscience.com/ca98ca95-d8f4-425e-835e-332cb4791308.h5ad | ca98ca95-d8f4-425e-835e-332cb4791308 | /mnt/scratch/spatial_soma/source_h5ad/ca98ca95-d8f4-425e-835e-332cb4791308.h5ad | Visium spatial - body_back_A_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/ca98ca95-d8f4-425e-835e-332cb4791308.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 278144043 | 4992 | 728.9503205128206 | 5.2.0 | 0 | -1 | |
| 9acc2ac1-6acf-4ad3-a8c1-8bffff235e16 | https://datasets.cellxgene.cziscience.com/6e9fd9e5-ec97-4ee8-9165-58d32f00e787.h5ad | 6e9fd9e5-ec97-4ee8-9165-58d32f00e787 | /mnt/scratch/spatial_soma/source_h5ad/6e9fd9e5-ec97-4ee8-9165-58d32f00e787.h5ad | Visium spatial - face_scalp_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/6e9fd9e5-ec97-4ee8-9165-58d32f00e787.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 168069915 | 4992 | 1020.5496794871794 | 5.2.0 | 0 | -1 | |
| 8f8821bf-6033-49fd-b638-44e0a18f4bf8 | https://datasets.cellxgene.cziscience.com/e0ce907d-60ac-4cfc-8549-8995c2f9ae62.h5ad | e0ce907d-60ac-4cfc-8549-8995c2f9ae62 | /mnt/scratch/spatial_soma/source_h5ad/e0ce907d-60ac-4cfc-8549-8995c2f9ae62.h5ad | Visium spatial - face_forehead_A_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/e0ce907d-60ac-4cfc-8549-8995c2f9ae62.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 239742833 | 4992 | 1303.9711538461538 | 5.2.0 | 0 | -1 | |
| 838d7116-78d2-4336-985d-e8fd1f3fa9d4 | https://datasets.cellxgene.cziscience.com/b02838df-aeb1-46f9-b80c-3eafd32a6d64.h5ad | b02838df-aeb1-46f9-b80c-3eafd32a6d64 | /mnt/scratch/spatial_soma/source_h5ad/b02838df-aeb1-46f9-b80c-3eafd32a6d64.h5ad | Visium spatial - face_forehead_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/b02838df-aeb1-46f9-b80c-3eafd32a6d64.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 133993448 | 4992 | 892.6320112179487 | 5.2.0 | 0 | -1 | |
| 726afd49-df7b-4b56-967a-0fb79d85ee4b | https://datasets.cellxgene.cziscience.com/d16cd549-73d2-42e6-b2a8-202d3f154749.h5ad | d16cd549-73d2-42e6-b2a8-202d3f154749 | /mnt/scratch/spatial_soma/source_h5ad/d16cd549-73d2-42e6-b2a8-202d3f154749.h5ad | Visium spatial - body_pubis_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/d16cd549-73d2-42e6-b2a8-202d3f154749.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 424279856 | 4992 | 776.2892628205128 | 5.2.0 | 0 | -1 | |
| 6ee287a4-5339-47c6-87d7-115101fca4e1 | https://datasets.cellxgene.cziscience.com/753e501c-9f45-41be-b28e-1a6990ce0dd7.h5ad | 753e501c-9f45-41be-b28e-1a6990ce0dd7 | /mnt/scratch/spatial_soma/source_h5ad/753e501c-9f45-41be-b28e-1a6990ce0dd7.h5ad | Visium spatial - bcc_face_nose_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/753e501c-9f45-41be-b28e-1a6990ce0dd7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 195881725 | 4992 | 2087.395032051282 | 5.2.0 | 0 | -1 | |
| 6e9e3264-02e1-455a-840b-4fbcee132ae7 | https://datasets.cellxgene.cziscience.com/abb4d2e1-5f75-4c53-96e6-67c3826a2653.h5ad | abb4d2e1-5f75-4c53-96e6-67c3826a2653 | /mnt/scratch/spatial_soma/source_h5ad/abb4d2e1-5f75-4c53-96e6-67c3826a2653.h5ad | Visium spatial - body_breast_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/abb4d2e1-5f75-4c53-96e6-67c3826a2653.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 227802459 | 4992 | 740.5190304487179 | 5.2.0 | 0 | -1 | |
| 663747ff-d8e4-4f5f-a5ed-a63c4332cb05 | https://datasets.cellxgene.cziscience.com/3f2ddc14-e8af-42e7-b259-6ab7cdc0abb3.h5ad | 3f2ddc14-e8af-42e7-b259-6ab7cdc0abb3 | /mnt/scratch/spatial_soma/source_h5ad/3f2ddc14-e8af-42e7-b259-6ab7cdc0abb3.h5ad | Visium spatial - face_cheek_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/3f2ddc14-e8af-42e7-b259-6ab7cdc0abb3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 226008311 | 4992 | 1392.2714342948718 | 5.2.0 | 0 | -1 | |
| 5ed0e8de-27e5-4dd6-b8a9-adb3d86eaf9d | https://datasets.cellxgene.cziscience.com/d27b5c80-9a13-46d9-a95f-6e10315092ee.h5ad | d27b5c80-9a13-46d9-a95f-6e10315092ee | /mnt/scratch/spatial_soma/source_h5ad/d27b5c80-9a13-46d9-a95f-6e10315092ee.h5ad | Visium spatial - bcc_face_nose_C | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/d27b5c80-9a13-46d9-a95f-6e10315092ee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 140356421 | 4992 | 1212.5226362179487 | 5.2.0 | 0 | -1 | |
| 4e6e0a5d-28f7-4792-a43b-7c3aa50d0265 | https://datasets.cellxgene.cziscience.com/9a12fd28-900c-484f-a663-b14a581af960.h5ad | 9a12fd28-900c-484f-a663-b14a581af960 | /mnt/scratch/spatial_soma/source_h5ad/9a12fd28-900c-484f-a663-b14a581af960.h5ad | Visium spatial - bcc_face_nose_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/9a12fd28-900c-484f-a663-b14a581af960.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 177444091 | 4992 | 2014.993389423077 | 5.2.0 | 0 | -1 | |
| 4754ff7d-dd0a-4eff-b50c-ee9c7d4bd613 | https://datasets.cellxgene.cziscience.com/e144d5ba-0400-4b9b-beab-6f281cc9ae6d.h5ad | e144d5ba-0400-4b9b-beab-6f281cc9ae6d | /mnt/scratch/spatial_soma/source_h5ad/e144d5ba-0400-4b9b-beab-6f281cc9ae6d.h5ad | Visium spatial - face_cheek_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/e144d5ba-0400-4b9b-beab-6f281cc9ae6d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 185667768 | 4992 | 1464.8120993589744 | 5.2.0 | 0 | -1 | |
| 43d268e8-1859-4ce7-ba75-e7e4f5a76e1d | https://datasets.cellxgene.cziscience.com/0379e7a4-818c-46c3-9e29-4d0f28635f65.h5ad | 0379e7a4-818c-46c3-9e29-4d0f28635f65 | /mnt/scratch/spatial_soma/source_h5ad/0379e7a4-818c-46c3-9e29-4d0f28635f65.h5ad | Visium spatial - bcc_face_cheek_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/0379e7a4-818c-46c3-9e29-4d0f28635f65.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 125269773 | 4992 | 1440.2570112179487 | 5.2.0 | 0 | -1 | |
| 335c6629-0563-4b44-a7fb-d69ba00ddc41 | https://datasets.cellxgene.cziscience.com/575cdb2b-a3c3-4f2a-ba36-8f225629dd34.h5ad | 575cdb2b-a3c3-4f2a-ba36-8f225629dd34 | /mnt/scratch/spatial_soma/source_h5ad/575cdb2b-a3c3-4f2a-ba36-8f225629dd34.h5ad | Visium spatial - body_abdomen_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/575cdb2b-a3c3-4f2a-ba36-8f225629dd34.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 437769999 | 4992 | 418.2329727564103 | 5.2.0 | 0 | -1 | |
| 32eb45ed-d970-4f34-8ad1-7a88e8ee6ce1 | https://datasets.cellxgene.cziscience.com/ffd77932-3088-46b8-a6a0-df2b8c0a4c89.h5ad | ffd77932-3088-46b8-a6a0-df2b8c0a4c89 | /mnt/scratch/spatial_soma/source_h5ad/ffd77932-3088-46b8-a6a0-df2b8c0a4c89.h5ad | Visium spatial - body_back_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/ffd77932-3088-46b8-a6a0-df2b8c0a4c89.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 216468520 | 4992 | 346.58934294871796 | 5.2.0 | 0 | -1 | |
| 205e9eb0-1ae7-4cdf-abc1-0d7acf5d357f | https://datasets.cellxgene.cziscience.com/2d5d0189-4717-4da9-8c36-eb132b2bf6ca.h5ad | 2d5d0189-4717-4da9-8c36-eb132b2bf6ca | /mnt/scratch/spatial_soma/source_h5ad/2d5d0189-4717-4da9-8c36-eb132b2bf6ca.h5ad | Visium spatial - body_inguinal_A_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/2d5d0189-4717-4da9-8c36-eb132b2bf6ca.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 243262485 | 4992 | 717.1808894230769 | 5.2.0 | 0 | -1 | |
| 1f4cc77e-be05-4f1c-ab52-af60e61ef310 | https://datasets.cellxgene.cziscience.com/96a17124-f8bf-4cc3-b2e1-ef166f68b87f.h5ad | 96a17124-f8bf-4cc3-b2e1-ef166f68b87f | /mnt/scratch/spatial_soma/source_h5ad/96a17124-f8bf-4cc3-b2e1-ef166f68b87f.h5ad | Visium spatial - body_inguinal_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/96a17124-f8bf-4cc3-b2e1-ef166f68b87f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 134215099 | 4992 | 639.1191907051282 | 5.2.0 | 0 | -1 | |
| 1d7ac406-9c5f-4537-a169-b6e8fab8b6f2 | https://datasets.cellxgene.cziscience.com/3f08abc9-c14d-454e-a2eb-31ad740e83e7.h5ad | 3f08abc9-c14d-454e-a2eb-31ad740e83e7 | /mnt/scratch/spatial_soma/source_h5ad/3f08abc9-c14d-454e-a2eb-31ad740e83e7.h5ad | Visium spatial - face_nose_A_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/3f08abc9-c14d-454e-a2eb-31ad740e83e7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 214090265 | 4992 | 1564.6187900641025 | 5.2.0 | 0 | -1 | |
| 1d3c1bab-7b56-4373-9def-200da734a755 | https://datasets.cellxgene.cziscience.com/181c202e-4148-4c10-aaf7-ab51ecf858d0.h5ad | 181c202e-4148-4c10-aaf7-ab51ecf858d0 | /mnt/scratch/spatial_soma/source_h5ad/181c202e-4148-4c10-aaf7-ab51ecf858d0.h5ad | Visium spatial - face_temple_B_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/181c202e-4148-4c10-aaf7-ab51ecf858d0.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 172132463 | 4992 | 945.1079727564103 | 5.2.0 | 0 | -1 | |
| 1b11283c-1b3a-4fa6-bf87-bc12c550a019 | https://datasets.cellxgene.cziscience.com/975841c8-2beb-4a25-af79-1a7e94af5bb2.h5ad | 975841c8-2beb-4a25-af79-1a7e94af5bb2 | /mnt/scratch/spatial_soma/source_h5ad/975841c8-2beb-4a25-af79-1a7e94af5bb2.h5ad | Visium spatial - face_nose_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/975841c8-2beb-4a25-af79-1a7e94af5bb2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 174676609 | 4992 | 1215.4449118589744 | 5.2.0 | 0 | -1 | |
| 18d0fe01-3682-4b5d-aa39-2ca937424c83 | https://datasets.cellxgene.cziscience.com/28847aa4-185c-4df6-8d81-be4834824f25.h5ad | 28847aa4-185c-4df6-8d81-be4834824f25 | /mnt/scratch/spatial_soma/source_h5ad/28847aa4-185c-4df6-8d81-be4834824f25.h5ad | Visium spatial - bcc_face_ear_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/28847aa4-185c-4df6-8d81-be4834824f25.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 170372692 | 4992 | 1625.9927884615386 | 5.2.0 | 0 | -1 | |
| 0456ae85-6f27-4e36-8c62-4c97370baa68 | https://datasets.cellxgene.cziscience.com/f4da05d0-1560-4582-89c8-5aa08ecbc8bb.h5ad | f4da05d0-1560-4582-89c8-5aa08ecbc8bb | /mnt/scratch/spatial_soma/source_h5ad/f4da05d0-1560-4582-89c8-5aa08ecbc8bb.h5ad | Visium spatial - face_temple_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/f4da05d0-1560-4582-89c8-5aa08ecbc8bb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 112893585 | 4992 | 828.4711538461538 | 5.2.0 | 0 | -1 | |
| fca00c4c-0b8a-4836-ab7b-6620123d2d4e | https://datasets.cellxgene.cziscience.com/db5e1f7c-9136-4765-b2f4-508bede5c2df.h5ad | db5e1f7c-9136-4765-b2f4-508bede5c2df | /mnt/scratch/spatial_soma/source_h5ad/db5e1f7c-9136-4765-b2f4-508bede5c2df.h5ad | Visium spatial data from liver of primary sclerosing cholangitis patient; sample PSC011_C1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/db5e1f7c-9136-4765-b2f4-508bede5c2df.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 53869692 | 4992 | 1996.6788862179487 | 5.2.0 | 0 | -1 | |
| a0805e92-3d1f-4866-af5c-5b903c6d910b | https://datasets.cellxgene.cziscience.com/9f482a02-9e09-4e1c-821b-76ed6d7dd3e5.h5ad | 9f482a02-9e09-4e1c-821b-76ed6d7dd3e5 | /mnt/scratch/spatial_soma/source_h5ad/9f482a02-9e09-4e1c-821b-76ed6d7dd3e5.h5ad | Visium spatial data from liver of primary sclerosing cholangitis patient; sample PSC011_D1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/9f482a02-9e09-4e1c-821b-76ed6d7dd3e5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 45278174 | 4992 | 1748.3207131410256 | 5.2.0 | 0 | -1 | |
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| 7ca2e329-d91b-4e36-b4cc-663447ae437e | https://datasets.cellxgene.cziscience.com/482e695e-e9c8-4890-a791-d4f2f0daeb97.h5ad | 482e695e-e9c8-4890-a791-d4f2f0daeb97 | /mnt/scratch/spatial_soma/source_h5ad/482e695e-e9c8-4890-a791-d4f2f0daeb97.h5ad | Visium spatial data from human healthy liver donor; sample C73_D1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/482e695e-e9c8-4890-a791-d4f2f0daeb97.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 1097518242 | 4992 | 1431.8409455128206 | 5.2.0 | 0 | -1 | |
| 7b814d77-810f-49e5-ae73-c3b644ea197f | https://datasets.cellxgene.cziscience.com/4921d2a2-97c2-42ec-ac9a-957a17c67bcc.h5ad | 4921d2a2-97c2-42ec-ac9a-957a17c67bcc | /mnt/scratch/spatial_soma/source_h5ad/4921d2a2-97c2-42ec-ac9a-957a17c67bcc.h5ad | Visium spatial data from human healthy liver donor; sample C73_B1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/4921d2a2-97c2-42ec-ac9a-957a17c67bcc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 1081269496 | 4992 | 1307.2958733974358 | 5.2.0 | 0 | -1 | |
| 7a90a1ce-4e66-44d0-b273-7c672de53b17 | https://datasets.cellxgene.cziscience.com/674ac28c-5dbc-40f1-ad39-d372c98f10bd.h5ad | 674ac28c-5dbc-40f1-ad39-d372c98f10bd | /mnt/scratch/spatial_soma/source_h5ad/674ac28c-5dbc-40f1-ad39-d372c98f10bd.h5ad | Visium spatial data from liver of primary sclerosing cholangitis patient; sample PSC011_B1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/674ac28c-5dbc-40f1-ad39-d372c98f10bd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 52798176 | 4992 | 2065.620592948718 | 5.2.0 | 0 | -1 | |
| 6d222287-cf5b-4eb5-86e3-c4e71adab844 | https://datasets.cellxgene.cziscience.com/878c7b62-8970-4f4c-93c4-8d81b7441cda.h5ad | 878c7b62-8970-4f4c-93c4-8d81b7441cda | /mnt/scratch/spatial_soma/source_h5ad/878c7b62-8970-4f4c-93c4-8d81b7441cda.h5ad | Visium spatial data from human healthy liver donor; sample C73_C1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/878c7b62-8970-4f4c-93c4-8d81b7441cda.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 1172495055 | 4992 | 2088.418269230769 | 5.2.0 | 0 | -1 | |
| 43cd0dbc-4e6c-433f-b143-8e6367e17fed | https://datasets.cellxgene.cziscience.com/af7dfa92-f18e-41eb-ac3e-c744f911b8d7.h5ad | af7dfa92-f18e-41eb-ac3e-c744f911b8d7 | /mnt/scratch/spatial_soma/source_h5ad/af7dfa92-f18e-41eb-ac3e-c744f911b8d7.h5ad | Visium spatial data from liver of primary sclerosing cholangitis patient; sample PSC011_A1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/af7dfa92-f18e-41eb-ac3e-c744f911b8d7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 62284412 | 4992 | 2426.680889423077 | 5.2.0 | 0 | -1 | |
| b2c9f2c0-3c3c-4f2c-816d-3e5a10f573bd | https://datasets.cellxgene.cziscience.com/64cb032e-a22a-4b0b-816c-22fb3477b9ad.h5ad | 64cb032e-a22a-4b0b-816c-22fb3477b9ad | /mnt/scratch/spatial_soma/source_h5ad/64cb032e-a22a-4b0b-816c-22fb3477b9ad.h5ad | WSA_LngSP10193345 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/64cb032e-a22a-4b0b-816c-22fb3477b9ad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 870969173 | 4992 | 500.3701923076923 | 5.2.0 | 0 | -1 | |
| a83dd1a9-d689-486b-aa8a-5036bf9d5816 | https://datasets.cellxgene.cziscience.com/880f080e-17ef-4205-8797-fad9589972f1.h5ad | 880f080e-17ef-4205-8797-fad9589972f1 | /mnt/scratch/spatial_soma/source_h5ad/880f080e-17ef-4205-8797-fad9589972f1.h5ad | WSA_LngSP10972072 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/880f080e-17ef-4205-8797-fad9589972f1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 437366073 | 4992 | 2636.18890224359 | 5.2.0 | 0 | -1 | |
| 987185c0-e092-49fb-935a-cc3fa0d084ca | https://datasets.cellxgene.cziscience.com/93136eb5-a090-4797-ad5f-0b2db0db17cf.h5ad | 93136eb5-a090-4797-ad5f-0b2db0db17cf | /mnt/scratch/spatial_soma/source_h5ad/93136eb5-a090-4797-ad5f-0b2db0db17cf.h5ad | WSA_LngSP9258467 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/93136eb5-a090-4797-ad5f-0b2db0db17cf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 257535865 | 4992 | 454.6766826923077 | 5.2.0 | 0 | -1 | |
| 8cd27ec2-250d-482d-8cab-8dc17e017e09 | https://datasets.cellxgene.cziscience.com/4e266aa0-bc05-408f-96f9-163e4eb06941.h5ad | 4e266aa0-bc05-408f-96f9-163e4eb06941 | /mnt/scratch/spatial_soma/source_h5ad/4e266aa0-bc05-408f-96f9-163e4eb06941.h5ad | WSA_LngSP10972073 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/4e266aa0-bc05-408f-96f9-163e4eb06941.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 382579310 | 4992 | 2505.3535657051284 | 5.2.0 | 0 | -1 | |
| 853c4415-9820-4377-ae29-cfe61d72fbd1 | https://datasets.cellxgene.cziscience.com/5afbf791-57e2-4dbc-b47a-b830bc1b1cdd.h5ad | 5afbf791-57e2-4dbc-b47a-b830bc1b1cdd | /mnt/scratch/spatial_soma/source_h5ad/5afbf791-57e2-4dbc-b47a-b830bc1b1cdd.h5ad | WSA_LngSP10972075 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/5afbf791-57e2-4dbc-b47a-b830bc1b1cdd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 273218043 | 4992 | 1014.4419070512821 | 5.2.0 | 0 | -1 | |
| 73de42b2-4871-4dbc-bde4-a9faa089b607 | https://datasets.cellxgene.cziscience.com/2d3922f9-2909-478b-aeca-3a7509749667.h5ad | 2d3922f9-2909-478b-aeca-3a7509749667 | /mnt/scratch/spatial_soma/source_h5ad/2d3922f9-2909-478b-aeca-3a7509749667.h5ad | WSA_LngSP10193348 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/2d3922f9-2909-478b-aeca-3a7509749667.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 729019875 | 4992 | 302.2762419871795 | 5.2.0 | 0 | -1 | |
| 72ddcd39-bd9b-4f6a-9251-bf2a6763b16f | https://datasets.cellxgene.cziscience.com/d2e17c2c-8acc-4320-9d04-7a125ec0bd38.h5ad | d2e17c2c-8acc-4320-9d04-7a125ec0bd38 | /mnt/scratch/spatial_soma/source_h5ad/d2e17c2c-8acc-4320-9d04-7a125ec0bd38.h5ad | WSA_LngSP9258464 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/d2e17c2c-8acc-4320-9d04-7a125ec0bd38.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 540134423 | 4992 | 1105.3804086538462 | 5.2.0 | 0 | -1 | |
| 728a6902-8916-47a1-b85a-ba1c922d56b7 | https://datasets.cellxgene.cziscience.com/21aa8466-c5d9-4b51-943e-0c9747cb4cab.h5ad | 21aa8466-c5d9-4b51-943e-0c9747cb4cab | /mnt/scratch/spatial_soma/source_h5ad/21aa8466-c5d9-4b51-943e-0c9747cb4cab.h5ad | WSA_LngSP8759313 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/21aa8466-c5d9-4b51-943e-0c9747cb4cab.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 418267952 | 4992 | 364.46714743589746 | 5.2.0 | 0 | -1 | |
| 708a7f62-260b-43f4-837a-d329c29f830b | https://datasets.cellxgene.cziscience.com/cbab9a64-1af0-4f0a-910f-87abb230b307.h5ad | cbab9a64-1af0-4f0a-910f-87abb230b307 | /mnt/scratch/spatial_soma/source_h5ad/cbab9a64-1af0-4f0a-910f-87abb230b307.h5ad | WSA_LngSP10193347 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/cbab9a64-1af0-4f0a-910f-87abb230b307.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 753821164 | 4992 | 421.0154246794872 | 5.2.0 | 0 | -1 | |
| 5944834b-e31e-4955-942a-731d75e39385 | https://datasets.cellxgene.cziscience.com/26df7002-6008-4822-adf7-c1294cbf960f.h5ad | 26df7002-6008-4822-adf7-c1294cbf960f | /mnt/scratch/spatial_soma/source_h5ad/26df7002-6008-4822-adf7-c1294cbf960f.h5ad | WSA_LngSP9258463 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/26df7002-6008-4822-adf7-c1294cbf960f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 235181348 | 4992 | 407.66085737179486 | 5.2.0 | 0 | -1 | |
| 44c9d3fd-bbde-45a5-a17c-db37a75bf697 | https://datasets.cellxgene.cziscience.com/54f0a00c-5871-4681-b35e-69822e76589b.h5ad | 54f0a00c-5871-4681-b35e-69822e76589b | /mnt/scratch/spatial_soma/source_h5ad/54f0a00c-5871-4681-b35e-69822e76589b.h5ad | WSA_LngSP10972074 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/54f0a00c-5871-4681-b35e-69822e76589b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 248165960 | 4992 | 897.5082131410256 | 5.2.0 | 0 | -1 | |
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| 2c3621b8-1870-4e06-b169-252ab243118d | https://datasets.cellxgene.cziscience.com/45ed8e82-f947-455c-8b4f-30f812150cf4.h5ad | 45ed8e82-f947-455c-8b4f-30f812150cf4 | /mnt/scratch/spatial_soma/source_h5ad/45ed8e82-f947-455c-8b4f-30f812150cf4.h5ad | WSA_LngSP8759311 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/45ed8e82-f947-455c-8b4f-30f812150cf4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 435807007 | 4992 | 440.67147435897436 | 5.2.0 | 0 | -1 | |
| 20718fc1-c04b-496b-8a27-8589a637346c | https://datasets.cellxgene.cziscience.com/a8946684-a694-40d9-8dc2-6ac4fb8be3ae.h5ad | a8946684-a694-40d9-8dc2-6ac4fb8be3ae | /mnt/scratch/spatial_soma/source_h5ad/a8946684-a694-40d9-8dc2-6ac4fb8be3ae.h5ad | WSA_LngSP8759312 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/a8946684-a694-40d9-8dc2-6ac4fb8be3ae.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 478621400 | 4992 | 406.6602564102564 | 5.2.0 | 0 | -1 | |
| 15c5c186-df92-4b17-a253-199e10ffe98a | https://datasets.cellxgene.cziscience.com/5a4abb22-dbc6-4a1b-9266-8131bc5bbdd9.h5ad | 5a4abb22-dbc6-4a1b-9266-8131bc5bbdd9 | /mnt/scratch/spatial_soma/source_h5ad/5a4abb22-dbc6-4a1b-9266-8131bc5bbdd9.h5ad | WSA_LngSP9258468 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/5a4abb22-dbc6-4a1b-9266-8131bc5bbdd9.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 533654543 | 4992 | 1028.6993189102564 | 5.2.0 | 0 | -1 | |
| fe5b3268-ddd8-415a-9432-f1f95bfdb500 | https://datasets.cellxgene.cziscience.com/7027345d-bacb-4eb7-b8bf-7a329f23b9a3.h5ad | 7027345d-bacb-4eb7-b8bf-7a329f23b9a3 | /mnt/scratch/spatial_soma/source_h5ad/7027345d-bacb-4eb7-b8bf-7a329f23b9a3.h5ad | Visium spatial - HCAHeartST13233999 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/7027345d-bacb-4eb7-b8bf-7a329f23b9a3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 226768968 | 4992 | 1368.909455128205 | 5.2.0 | 0 | -1 | |
| f92a761d-b7b8-490a-aea2-bd7a1bb9714d | https://datasets.cellxgene.cziscience.com/54e484b5-5565-4ff7-b219-0b57e42f682d.h5ad | 54e484b5-5565-4ff7-b219-0b57e42f682d | /mnt/scratch/spatial_soma/source_h5ad/54e484b5-5565-4ff7-b219-0b57e42f682d.h5ad | Visium spatial - HCAHeartST8795935 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/54e484b5-5565-4ff7-b219-0b57e42f682d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 271964467 | 4992 | 442.59555288461536 | 5.2.0 | 0 | -1 | |
| e0f37114-5e98-406e-bbeb-594603360606 | https://datasets.cellxgene.cziscience.com/8babec34-ebf1-4b99-a86d-9d6a73791394.h5ad | 8babec34-ebf1-4b99-a86d-9d6a73791394 | /mnt/scratch/spatial_soma/source_h5ad/8babec34-ebf1-4b99-a86d-9d6a73791394.h5ad | Visium spatial - HCAHeartST11702008 (FFPE) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/8babec34-ebf1-4b99-a86d-9d6a73791394.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 620957022 | 4992 | 2867.1875 | 5.2.0 | 0 | -1 | |
| e0245fc6-ccf3-4329-ab10-136b7f366b49 | https://datasets.cellxgene.cziscience.com/a861683c-b4d2-4b46-9306-eb2e5173503a.h5ad | a861683c-b4d2-4b46-9306-eb2e5173503a | /mnt/scratch/spatial_soma/source_h5ad/a861683c-b4d2-4b46-9306-eb2e5173503a.h5ad | Visium spatial - HCAHeartST10550732 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/a861683c-b4d2-4b46-9306-eb2e5173503a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 502147370 | 4992 | 971.1592548076923 | 5.2.0 | 0 | -1 | |
| c70e9ea9-61d0-41b1-90f6-6fd3f25e91ab | https://datasets.cellxgene.cziscience.com/e515df45-ee15-48ca-9b68-e4b61128a217.h5ad | e515df45-ee15-48ca-9b68-e4b61128a217 | /mnt/scratch/spatial_soma/source_h5ad/e515df45-ee15-48ca-9b68-e4b61128a217.h5ad | Visium spatial - HCAHeartST8795938 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/e515df45-ee15-48ca-9b68-e4b61128a217.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 298317666 | 4992 | 849.9829727564103 | 5.2.0 | 0 | -1 | |
| c6c3206c-5228-4389-bc95-1d6120beb738 | https://datasets.cellxgene.cziscience.com/8f884a97-1f4e-45db-a350-782aef8465c1.h5ad | 8f884a97-1f4e-45db-a350-782aef8465c1 | /mnt/scratch/spatial_soma/source_h5ad/8f884a97-1f4e-45db-a350-782aef8465c1.h5ad | Visium spatial - HCAHeartST9383353 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/8f884a97-1f4e-45db-a350-782aef8465c1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 191626003 | 4992 | 432.84835737179486 | 5.2.0 | 0 | -1 | |
| c5cddbbb-8ba4-4338-8b34-15edb5231e22 | https://datasets.cellxgene.cziscience.com/cc9f8990-b63f-44a3-bc58-b90cbe69f5b2.h5ad | cc9f8990-b63f-44a3-bc58-b90cbe69f5b2 | /mnt/scratch/spatial_soma/source_h5ad/cc9f8990-b63f-44a3-bc58-b90cbe69f5b2.h5ad | Visium spatial - HCAHeartST10659160 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/cc9f8990-b63f-44a3-bc58-b90cbe69f5b2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 50208326 | 4992 | 1561.961137820513 | 5.2.0 | 0 | -1 | |
| bec030e1-7dc8-4eef-89a4-ab36e7043768 | https://datasets.cellxgene.cziscience.com/ea5978d9-8ae3-4a56-9087-4ebf9c8f9708.h5ad | ea5978d9-8ae3-4a56-9087-4ebf9c8f9708 | /mnt/scratch/spatial_soma/source_h5ad/ea5978d9-8ae3-4a56-9087-4ebf9c8f9708.h5ad | Visium spatial - HCAHeartST11290659 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/ea5978d9-8ae3-4a56-9087-4ebf9c8f9708.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 583718550 | 4992 | 648.2375801282051 | 5.2.0 | 0 | -1 | |
| b3c55d0d-4529-4b61-b485-2902e6be0e4e | https://datasets.cellxgene.cziscience.com/2a523d38-70a3-4231-8d6d-ecd4e9d48a37.h5ad | 2a523d38-70a3-4231-8d6d-ecd4e9d48a37 | /mnt/scratch/spatial_soma/source_h5ad/2a523d38-70a3-4231-8d6d-ecd4e9d48a37.h5ad | Visium spatial - HCAHeartST11290657 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/2a523d38-70a3-4231-8d6d-ecd4e9d48a37.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 620138646 | 4992 | 526.6298076923077 | 5.2.0 | 0 | -1 | |
| af113aeb-ee5f-4484-8104-dc3190b6e54e | https://datasets.cellxgene.cziscience.com/50f971b9-98a7-40a3-bf0f-3f516347979e.h5ad | 50f971b9-98a7-40a3-bf0f-3f516347979e | /mnt/scratch/spatial_soma/source_h5ad/50f971b9-98a7-40a3-bf0f-3f516347979e.h5ad | Visium spatial - HCAHeartST13228103 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/50f971b9-98a7-40a3-bf0f-3f516347979e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 339264430 | 4992 | 1108.8818108974358 | 5.2.0 | 0 | -1 | |
| aeb253a3-b194-4500-9f1c-6f503ecc76f0 | https://datasets.cellxgene.cziscience.com/e55984c0-be8e-437b-a594-3bae03315871.h5ad | e55984c0-be8e-437b-a594-3bae03315871 | /mnt/scratch/spatial_soma/source_h5ad/e55984c0-be8e-437b-a594-3bae03315871.h5ad | Visium spatial - HCAHeartST9341983 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/e55984c0-be8e-437b-a594-3bae03315871.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 248832143 | 4992 | 508.87159455128204 | 5.2.0 | 0 | -1 | |
| a9c5aecf-3b7d-4329-93b4-bf9dd16c3a3c | https://datasets.cellxgene.cziscience.com/6bd52b97-2480-4ca3-8d96-768d111a0d50.h5ad | 6bd52b97-2480-4ca3-8d96-768d111a0d50 | /mnt/scratch/spatial_soma/source_h5ad/6bd52b97-2480-4ca3-8d96-768d111a0d50.h5ad | Visium spatial - HCAHeartST12992075 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/6bd52b97-2480-4ca3-8d96-768d111a0d50.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 495812018 | 4992 | 1060.7728365384614 | 5.2.0 | 0 | -1 | |
| 9dca8e98-e2f1-4e64-b7b0-22953cd8235d | https://datasets.cellxgene.cziscience.com/d136802f-8a9e-406d-8e49-4640b9bba7f5.h5ad | d136802f-8a9e-406d-8e49-4640b9bba7f5 | /mnt/scratch/spatial_soma/source_h5ad/d136802f-8a9e-406d-8e49-4640b9bba7f5.h5ad | Visium spatial - HCAHeartST13233998 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/d136802f-8a9e-406d-8e49-4640b9bba7f5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 361128020 | 4992 | 1612.3828125 | 5.2.0 | 0 | -1 | |
| 9a38ffc5-576c-4283-a79c-fb1c5e03cb96 | https://datasets.cellxgene.cziscience.com/554e7b37-e5d4-411c-b129-f854ac0a1ec5.h5ad | 554e7b37-e5d4-411c-b129-f854ac0a1ec5 | /mnt/scratch/spatial_soma/source_h5ad/554e7b37-e5d4-411c-b129-f854ac0a1ec5.h5ad | Visium spatial - HCAHeartST8795934 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/554e7b37-e5d4-411c-b129-f854ac0a1ec5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 344244130 | 4992 | 599.9354967948718 | 5.2.0 | 0 | -1 | |
| 985d11a7-9687-4d15-9681-90113501c2bc | https://datasets.cellxgene.cziscience.com/57c27eac-b01b-4199-a2dd-074cb49b2288.h5ad | 57c27eac-b01b-4199-a2dd-074cb49b2288 | /mnt/scratch/spatial_soma/source_h5ad/57c27eac-b01b-4199-a2dd-074cb49b2288.h5ad | Visium spatial - HCAHeartST13233997 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/57c27eac-b01b-4199-a2dd-074cb49b2288.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 284887290 | 4992 | 1183.3653846153845 | 5.2.0 | 0 | -1 | |
| 94071616-999b-4517-a3e6-c0de3574248d | https://datasets.cellxgene.cziscience.com/db4457f5-7716-4121-9c3d-0ac1b1b29052.h5ad | db4457f5-7716-4121-9c3d-0ac1b1b29052 | /mnt/scratch/spatial_soma/source_h5ad/db4457f5-7716-4121-9c3d-0ac1b1b29052.h5ad | Visium spatial - HCAHeartST8795936 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/db4457f5-7716-4121-9c3d-0ac1b1b29052.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 422764468 | 4992 | 667.6570512820513 | 5.2.0 | 0 | -1 | |
| 82040363-8a09-4521-81b5-8f6e62c4ace7 | https://datasets.cellxgene.cziscience.com/741a9f95-52c5-4cea-943e-3e58107d0b87.h5ad | 741a9f95-52c5-4cea-943e-3e58107d0b87 | /mnt/scratch/spatial_soma/source_h5ad/741a9f95-52c5-4cea-943e-3e58107d0b87.h5ad | Visium spatial - HCAHeartST11702009 (FFPE) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/741a9f95-52c5-4cea-943e-3e58107d0b87.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 650555550 | 4992 | 2515.9210737179487 | 5.2.0 | 0 | -1 | |
| 79527108-1f6c-4152-afe0-1fcdf2e02ba3 | https://datasets.cellxgene.cziscience.com/43d45c43-33ea-495c-a5f0-07fe324b6c50.h5ad | 43d45c43-33ea-495c-a5f0-07fe324b6c50 | /mnt/scratch/spatial_soma/source_h5ad/43d45c43-33ea-495c-a5f0-07fe324b6c50.h5ad | Visium spatial - HCAHeartST8795939 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/43d45c43-33ea-495c-a5f0-07fe324b6c50.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 334552919 | 4992 | 980.181891025641 | 5.2.0 | 0 | -1 | |
| 6d4b3d09-f1f1-411e-972b-087880a0dcbe | https://datasets.cellxgene.cziscience.com/4bcae779-d638-4cd5-85a3-ddca236780fa.h5ad | 4bcae779-d638-4cd5-85a3-ddca236780fa | /mnt/scratch/spatial_soma/source_h5ad/4bcae779-d638-4cd5-85a3-ddca236780fa.h5ad | Visium spatial - HCAHeartST12992072 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/4bcae779-d638-4cd5-85a3-ddca236780fa.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 571720620 | 4992 | 1961.8589743589744 | 5.2.0 | 0 | -1 | |
| 619db5f3-03fa-4153-b293-5a5e2d2bec2e | https://datasets.cellxgene.cziscience.com/9c142aea-350d-4e76-91a2-b61b1ffcb855.h5ad | 9c142aea-350d-4e76-91a2-b61b1ffcb855 | /mnt/scratch/spatial_soma/source_h5ad/9c142aea-350d-4e76-91a2-b61b1ffcb855.h5ad | Visium spatial - HCAHeartST9383358 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/9c142aea-350d-4e76-91a2-b61b1ffcb855.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 291569052 | 4992 | 186.91085737179486 | 5.2.0 | 0 | -1 | |
| 5e2030eb-c905-4f54-a55f-20d41774ecc7 | https://datasets.cellxgene.cziscience.com/e6bea404-61c3-440e-9215-140abfd3fb37.h5ad | e6bea404-61c3-440e-9215-140abfd3fb37 | /mnt/scratch/spatial_soma/source_h5ad/e6bea404-61c3-440e-9215-140abfd3fb37.h5ad | Visium spatial - HCAHeartST13228105 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/e6bea404-61c3-440e-9215-140abfd3fb37.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 304389767 | 4992 | 997.5138221153846 | 5.2.0 | 0 | -1 | |
| 5a364b09-f4fd-41f4-bba5-580554ed1d1f | https://datasets.cellxgene.cziscience.com/29da6eb2-9e06-4f43-b0fc-e15748264ee1.h5ad | 29da6eb2-9e06-4f43-b0fc-e15748264ee1 | /mnt/scratch/spatial_soma/source_h5ad/29da6eb2-9e06-4f43-b0fc-e15748264ee1.h5ad | Visium spatial - HCAHeartST11290658 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/29da6eb2-9e06-4f43-b0fc-e15748264ee1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 604614346 | 4992 | 532.9304887820513 | 5.2.0 | 0 | -1 | |
| 55731b4b-44b1-4a39-aaee-503e3ee351f5 | https://datasets.cellxgene.cziscience.com/85ba3148-afb3-4c74-8880-62c6bb5e350e.h5ad | 85ba3148-afb3-4c74-8880-62c6bb5e350e | /mnt/scratch/spatial_soma/source_h5ad/85ba3148-afb3-4c74-8880-62c6bb5e350e.h5ad | Visium spatial - HCAHeartST11350375 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/85ba3148-afb3-4c74-8880-62c6bb5e350e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 567289931 | 4992 | 950.6372195512821 | 5.2.0 | 0 | -1 | |
| 5260e91f-5d80-4e36-820c-394720d144c3 | https://datasets.cellxgene.cziscience.com/e272c5e8-1b8d-4a8c-8863-d7af5fab77dd.h5ad | e272c5e8-1b8d-4a8c-8863-d7af5fab77dd | /mnt/scratch/spatial_soma/source_h5ad/e272c5e8-1b8d-4a8c-8863-d7af5fab77dd.h5ad | Visium spatial - HCAHeartST8795940 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/e272c5e8-1b8d-4a8c-8863-d7af5fab77dd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 247573405 | 4992 | 427.6642628205128 | 5.2.0 | 0 | -1 | |
| 4a9f7ec6-5de7-4e8a-acaa-d6d100a5ea58 | https://datasets.cellxgene.cziscience.com/96b3cb2e-2ce3-4509-a1d8-26973923900f.h5ad | 96b3cb2e-2ce3-4509-a1d8-26973923900f | /mnt/scratch/spatial_soma/source_h5ad/96b3cb2e-2ce3-4509-a1d8-26973923900f.h5ad | Visium spatial - HCAHeartST9383354 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/96b3cb2e-2ce3-4509-a1d8-26973923900f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 333920393 | 4992 | 447.11478365384613 | 5.2.0 | 0 | -1 | |
| 452f8dfe-52f1-4990-a73a-7117422a5934 | https://datasets.cellxgene.cziscience.com/b85cb47d-1ec8-4fd8-9db3-a7fc2264fee7.h5ad | b85cb47d-1ec8-4fd8-9db3-a7fc2264fee7 | /mnt/scratch/spatial_soma/source_h5ad/b85cb47d-1ec8-4fd8-9db3-a7fc2264fee7.h5ad | Visium spatial - HCAHeartST9341984 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/b85cb47d-1ec8-4fd8-9db3-a7fc2264fee7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 339286226 | 4992 | 539.4413060897435 | 5.2.0 | 0 | -1 | |
| 3add6c93-7e8c-4f7a-8056-3354ae777757 | https://datasets.cellxgene.cziscience.com/473827dc-5cb2-4df4-815c-d8955f03e769.h5ad | 473827dc-5cb2-4df4-815c-d8955f03e769 | /mnt/scratch/spatial_soma/source_h5ad/473827dc-5cb2-4df4-815c-d8955f03e769.h5ad | Visium spatial - HCAHeartST11702010 (FFPE) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/473827dc-5cb2-4df4-815c-d8955f03e769.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 639505735 | 4992 | 2968.751201923077 | 5.2.0 | 0 | -1 | |
| 339756db-b41f-4abd-b520-125e62e1389f | https://datasets.cellxgene.cziscience.com/0013776d-16e8-405e-93c1-fc07b4437164.h5ad | 0013776d-16e8-405e-93c1-fc07b4437164 | /mnt/scratch/spatial_soma/source_h5ad/0013776d-16e8-405e-93c1-fc07b4437164.h5ad | Visium spatial - HCAHeartST13233996 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/0013776d-16e8-405e-93c1-fc07b4437164.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 348119923 | 4992 | 1078.0204326923076 | 5.2.0 | 0 | -1 | |
| 2d8cb370-c23f-4ac3-bfb7-73c13838d741 | https://datasets.cellxgene.cziscience.com/36d717ce-1e3e-4bd7-a301-506f5499ca9f.h5ad | 36d717ce-1e3e-4bd7-a301-506f5499ca9f | /mnt/scratch/spatial_soma/source_h5ad/36d717ce-1e3e-4bd7-a301-506f5499ca9f.h5ad | Visium spatial - HCAHeartST11350377 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/36d717ce-1e3e-4bd7-a301-506f5499ca9f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 582340583 | 4992 | 729.5673076923077 | 5.2.0 | 0 | -1 | |
| 2ba63296-1a3d-4469-814e-ed9708e6c104 | https://datasets.cellxgene.cziscience.com/31115c85-2c50-4b2a-a10b-ac61a62d3770.h5ad | 31115c85-2c50-4b2a-a10b-ac61a62d3770 | /mnt/scratch/spatial_soma/source_h5ad/31115c85-2c50-4b2a-a10b-ac61a62d3770.h5ad | Visium spatial - HCAHeartST9341982 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/31115c85-2c50-4b2a-a10b-ac61a62d3770.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 225224522 | 4992 | 633.0418669871794 | 5.2.0 | 0 | -1 | |
| 2179a9b4-be5e-4e28-b1cd-cd3e07e19271 | https://datasets.cellxgene.cziscience.com/98f84b9e-0460-44d8-91ef-9fcb613ab4c9.h5ad | 98f84b9e-0460-44d8-91ef-9fcb613ab4c9 | /mnt/scratch/spatial_soma/source_h5ad/98f84b9e-0460-44d8-91ef-9fcb613ab4c9.h5ad | Visium spatial - HCAHeartST10238251 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/98f84b9e-0460-44d8-91ef-9fcb613ab4c9.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 344519773 | 4992 | 591.4310897435897 | 5.2.0 | 0 | -1 | |
| 2104fbb8-8ce3-4740-8b6a-bcbb46a13c0f | https://datasets.cellxgene.cziscience.com/2eb4ca4e-ca40-43a9-ac53-0649e0f36427.h5ad | 2eb4ca4e-ca40-43a9-ac53-0649e0f36427 | /mnt/scratch/spatial_soma/source_h5ad/2eb4ca4e-ca40-43a9-ac53-0649e0f36427.h5ad | Visium spatial - HCAHeartST10238252 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/2eb4ca4e-ca40-43a9-ac53-0649e0f36427.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 338716060 | 4992 | 831.2736378205128 | 5.2.0 | 0 | -1 | |
| 1df5fa02-4a6e-4b00-a203-cb0a60e75637 | https://datasets.cellxgene.cziscience.com/283c9ac8-a6a4-4b75-b7c3-e33e31579a0c.h5ad | 283c9ac8-a6a4-4b75-b7c3-e33e31579a0c | /mnt/scratch/spatial_soma/source_h5ad/283c9ac8-a6a4-4b75-b7c3-e33e31579a0c.h5ad | Visium spatial - HCAHeartST10550730 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/283c9ac8-a6a4-4b75-b7c3-e33e31579a0c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 507754972 | 4992 | 933.0372596153846 | 5.2.0 | 0 | -1 | |
| 1b0f8473-f847-4e41-be8b-4dc861860650 | https://datasets.cellxgene.cziscience.com/9d276e5b-d223-48b3-9005-e5f9b33f1664.h5ad | 9d276e5b-d223-48b3-9005-e5f9b33f1664 | /mnt/scratch/spatial_soma/source_h5ad/9d276e5b-d223-48b3-9005-e5f9b33f1664.h5ad | Visium spatial - HCAHeartST8795933 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/9d276e5b-d223-48b3-9005-e5f9b33f1664.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 448238887 | 4992 | 814.0793269230769 | 5.2.0 | 0 | -1 | |
| 1863bbe2-9c01-48a3-a58e-e2b77b71d6ca | https://datasets.cellxgene.cziscience.com/cef12323-c119-4307-a162-ec1359db15a5.h5ad | cef12323-c119-4307-a162-ec1359db15a5 | /mnt/scratch/spatial_soma/source_h5ad/cef12323-c119-4307-a162-ec1359db15a5.h5ad | Visium spatial - HCAHeartST11290662 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/cef12323-c119-4307-a162-ec1359db15a5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 645463705 | 4992 | 890.9935897435897 | 5.2.0 | 0 | -1 | |
| 1368fad2-916d-4ec0-a367-e750d0ab979e | https://datasets.cellxgene.cziscience.com/f878c3df-48b2-470d-ac6d-b2117aea8686.h5ad | f878c3df-48b2-470d-ac6d-b2117aea8686 | /mnt/scratch/spatial_soma/source_h5ad/f878c3df-48b2-470d-ac6d-b2117aea8686.h5ad | Visium spatial - HCAHeartST12992074 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/f878c3df-48b2-470d-ac6d-b2117aea8686.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 540934920 | 4992 | 1618.0274439102564 | 5.2.0 | 0 | -1 | |
| 0fe4d909-b1d9-471a-bb5d-ccc0b5a8374e | https://datasets.cellxgene.cziscience.com/5a57456f-8180-4af5-985b-1be261eb9a08.h5ad | 5a57456f-8180-4af5-985b-1be261eb9a08 | /mnt/scratch/spatial_soma/source_h5ad/5a57456f-8180-4af5-985b-1be261eb9a08.h5ad | Visium spatial - HCAHeartST8795937 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/5a57456f-8180-4af5-985b-1be261eb9a08.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 483624847 | 4992 | 1190.2191506410256 | 5.2.0 | 0 | -1 | |
| 090fede8-fac6-4bea-b6c4-6dedea5cca1c | https://datasets.cellxgene.cziscience.com/f9cefce0-1942-4846-99f2-2c7bca8c1208.h5ad | f9cefce0-1942-4846-99f2-2c7bca8c1208 | /mnt/scratch/spatial_soma/source_h5ad/f9cefce0-1942-4846-99f2-2c7bca8c1208.h5ad | Visium spatial - HCAHeartST9383352 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/f9cefce0-1942-4846-99f2-2c7bca8c1208.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 341052739 | 4992 | 434.46314102564105 | 5.2.0 | 0 | -1 | |
| 06379c09-d4cf-4c6f-8299-e0bc8879dbdf | https://datasets.cellxgene.cziscience.com/67c4d694-6401-4f89-8322-1cb3f2e52678.h5ad | 67c4d694-6401-4f89-8322-1cb3f2e52678 | /mnt/scratch/spatial_soma/source_h5ad/67c4d694-6401-4f89-8322-1cb3f2e52678.h5ad | Visium spatial - HCAHeartST10238253 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/67c4d694-6401-4f89-8322-1cb3f2e52678.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 381171578 | 4992 | 1118.740985576923 | 5.2.0 | 0 | -1 | |
| 04a0a043-1d65-489a-b203-7908780cc922 | https://datasets.cellxgene.cziscience.com/a8958502-02e4-4e3e-a3fd-41446af47093.h5ad | a8958502-02e4-4e3e-a3fd-41446af47093 | /mnt/scratch/spatial_soma/source_h5ad/a8958502-02e4-4e3e-a3fd-41446af47093.h5ad | Visium spatial - HCAHeartST9383356 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/a8958502-02e4-4e3e-a3fd-41446af47093.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 314242274 | 4992 | 205.13441506410257 | 5.2.0 | 0 | -1 | |
| 0491b0c6-4d09-45bf-b5ca-42088632c15c | https://datasets.cellxgene.cziscience.com/ee1afb36-d0b0-4129-bfee-28cc5593951c.h5ad | ee1afb36-d0b0-4129-bfee-28cc5593951c | /mnt/scratch/spatial_soma/source_h5ad/ee1afb36-d0b0-4129-bfee-28cc5593951c.h5ad | Visium spatial - HCAHeartST13228106 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/ee1afb36-d0b0-4129-bfee-28cc5593951c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 349537388 | 4992 | 1311.8545673076924 | 5.2.0 | 0 | -1 | |
| 03ad88c2-2faa-470f-9426-1c793fc5efed | https://datasets.cellxgene.cziscience.com/705df063-17f3-4d57-b265-a691af1d107f.h5ad | 705df063-17f3-4d57-b265-a691af1d107f | /mnt/scratch/spatial_soma/source_h5ad/705df063-17f3-4d57-b265-a691af1d107f.h5ad | Visium spatial - HCAHeartST9383355 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/705df063-17f3-4d57-b265-a691af1d107f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 413459319 | 4992 | 501.28745993589746 | 5.2.0 | 0 | -1 | |
| ff12e239-9292-4d25-bb0d-e4509b3bd92b | https://datasets.cellxgene.cziscience.com/80b24be8-6ba7-4e39-b282-7fd38b34c08a.h5ad | 80b24be8-6ba7-4e39-b282-7fd38b34c08a | /mnt/scratch/spatial_soma/source_h5ad/80b24be8-6ba7-4e39-b282-7fd38b34c08a.h5ad | Pla_HDBR9518710 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/80b24be8-6ba7-4e39-b282-7fd38b34c08a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 25935106 | 4992 | 1115.1157852564102 | 5.2.0 | 0 | -1 | |
| dfe8e072-94a7-4152-a16a-acab4621863b | https://datasets.cellxgene.cziscience.com/3a20eff0-7702-4395-8072-fe34bf0391ef.h5ad | 3a20eff0-7702-4395-8072-fe34bf0391ef | /mnt/scratch/spatial_soma/source_h5ad/3a20eff0-7702-4395-8072-fe34bf0391ef.h5ad | WS_PLA_S9101764 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/3a20eff0-7702-4395-8072-fe34bf0391ef.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 43165816 | 4992 | 2156.603966346154 | 5.2.0 | 0 | -1 | |
| dc5f82de-5919-4056-a2c8-c26d538d4418 | https://datasets.cellxgene.cziscience.com/8e199b0f-0368-43b9-bbe6-d48b569ec3a8.h5ad | 8e199b0f-0368-43b9-bbe6-d48b569ec3a8 | /mnt/scratch/spatial_soma/source_h5ad/8e199b0f-0368-43b9-bbe6-d48b569ec3a8.h5ad | WS_PLA_S9101767 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/8e199b0f-0368-43b9-bbe6-d48b569ec3a8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 45720127 | 4992 | 2143.0428685897436 | 5.2.0 | 0 | -1 | |
| d8440c8f-a5e7-4576-81ed-01b7f3a60598 | https://datasets.cellxgene.cziscience.com/cda41095-b6c8-44ac-9982-05035d172416.h5ad | cda41095-b6c8-44ac-9982-05035d172416 | /mnt/scratch/spatial_soma/source_h5ad/cda41095-b6c8-44ac-9982-05035d172416.h5ad | WS_PLA_S9101765 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/cda41095-b6c8-44ac-9982-05035d172416.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 43375369 | 4992 | 1965.1211939102564 | 5.2.0 | 0 | -1 | |
| c1568274-2af2-4cd5-b457-4e159cc18753 | https://datasets.cellxgene.cziscience.com/344fb18c-b450-471e-bc16-00556c1fa8e1.h5ad | 344fb18c-b450-471e-bc16-00556c1fa8e1 | /mnt/scratch/spatial_soma/source_h5ad/344fb18c-b450-471e-bc16-00556c1fa8e1.h5ad | WS_PLA_S9101769 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/344fb18c-b450-471e-bc16-00556c1fa8e1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 38545254 | 4992 | 1768.7972756410256 | 5.2.0 | 0 | -1 | |
| a1ea7856-890f-4ec4-8fd9-2b6354daa6a7 | https://datasets.cellxgene.cziscience.com/1c7c1305-0c13-4853-8ea6-fe3b936733db.h5ad | 1c7c1305-0c13-4853-8ea6-fe3b936733db | /mnt/scratch/spatial_soma/source_h5ad/1c7c1305-0c13-4853-8ea6-fe3b936733db.h5ad | WS_PLA_S9101766 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/1c7c1305-0c13-4853-8ea6-fe3b936733db.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 35505961 | 4992 | 1375.5332532051282 | 5.2.0 | 0 | -1 | |
| 993cf43f-3b5b-424e-a67a-6ccf0a328450 | https://datasets.cellxgene.cziscience.com/df0cdfb8-050c-49fc-a583-9ab04091fc65.h5ad | df0cdfb8-050c-49fc-a583-9ab04091fc65 | /mnt/scratch/spatial_soma/source_h5ad/df0cdfb8-050c-49fc-a583-9ab04091fc65.h5ad | Pla_Camb9518737 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/df0cdfb8-050c-49fc-a583-9ab04091fc65.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 41805080 | 4992 | 1802.4727564102564 | 5.2.0 | 0 | -1 | |
| 4887f277-b45c-49a6-8c8a-de89e75dc032 | https://datasets.cellxgene.cziscience.com/cdd4c58b-6893-4857-8f31-358bc4cfbd2b.h5ad | cdd4c58b-6893-4857-8f31-358bc4cfbd2b | /mnt/scratch/spatial_soma/source_h5ad/cdd4c58b-6893-4857-8f31-358bc4cfbd2b.h5ad | WS_PLA_S9101770 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/cdd4c58b-6893-4857-8f31-358bc4cfbd2b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 39310052 | 4992 | 1801.1836939102564 | 5.2.0 | 0 | -1 | |
| fb09f8c3-cb71-480d-8919-d8afd2670b97 | https://datasets.cellxgene.cziscience.com/63571a3a-50df-4ec5-b327-812c787d8fe5.h5ad | 63571a3a-50df-4ec5-b327-812c787d8fe5 | /mnt/scratch/spatial_soma/source_h5ad/63571a3a-50df-4ec5-b327-812c787d8fe5.h5ad | visium spatial - sample v06 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/63571a3a-50df-4ec5-b327-812c787d8fe5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2073665723 | 4992 | 1567.623798076923 | 5.2.0 | 0 | -1 | |
| c45f05b3-aafc-4fce-a800-133a2364df64 | https://datasets.cellxgene.cziscience.com/bc4529f8-6fbf-49bf-85e7-e22bbd9e1722.h5ad | bc4529f8-6fbf-49bf-85e7-e22bbd9e1722 | /mnt/scratch/spatial_soma/source_h5ad/bc4529f8-6fbf-49bf-85e7-e22bbd9e1722.h5ad | visium spatial - sample v04 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/bc4529f8-6fbf-49bf-85e7-e22bbd9e1722.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 781256276 | 4992 | 893.0288461538462 | 5.2.0 | 0 | -1 | |
| a31525c0-a7ee-409e-a0ee-9bf4f507c7f1 | https://datasets.cellxgene.cziscience.com/98c9bf2b-4597-40f8-87bd-fa0a0d148dee.h5ad | 98c9bf2b-4597-40f8-87bd-fa0a0d148dee | /mnt/scratch/spatial_soma/source_h5ad/98c9bf2b-4597-40f8-87bd-fa0a0d148dee.h5ad | visium spatial - sample v03 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/98c9bf2b-4597-40f8-87bd-fa0a0d148dee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 792899488 | 4992 | 1043.4983974358975 | 5.2.0 | 0 | -1 | |
| 87183784-5b2e-4de0-a960-cffdeb005a7d | https://datasets.cellxgene.cziscience.com/b29fa833-d4c7-4ec6-abf3-9d9a98c6cae1.h5ad | b29fa833-d4c7-4ec6-abf3-9d9a98c6cae1 | /mnt/scratch/spatial_soma/source_h5ad/b29fa833-d4c7-4ec6-abf3-9d9a98c6cae1.h5ad | visium spatial - sample v10 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/b29fa833-d4c7-4ec6-abf3-9d9a98c6cae1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2256864062 | 4992 | 1101.0206330128206 | 5.2.0 | 0 | -1 | |
| 6e96d93c-de27-4cb2-9ac1-051111ce2aff | https://datasets.cellxgene.cziscience.com/cbbafd53-4f9c-45b6-b309-56fab76a8f46.h5ad | cbbafd53-4f9c-45b6-b309-56fab76a8f46 | /mnt/scratch/spatial_soma/source_h5ad/cbbafd53-4f9c-45b6-b309-56fab76a8f46.h5ad | visium spatial - sample v08 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/cbbafd53-4f9c-45b6-b309-56fab76a8f46.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2383145789 | 4992 | 1756.1602564102564 | 5.2.0 | 0 | -1 | |
| 59f3a9d6-8bab-481d-8c42-766991595687 | https://datasets.cellxgene.cziscience.com/beb82776-83a0-4f5b-ba19-9a76bb0fc7ec.h5ad | beb82776-83a0-4f5b-ba19-9a76bb0fc7ec | /mnt/scratch/spatial_soma/source_h5ad/beb82776-83a0-4f5b-ba19-9a76bb0fc7ec.h5ad | visium spatial - sample v01 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/beb82776-83a0-4f5b-ba19-9a76bb0fc7ec.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 70865428 | 4992 | 1366.0711137820513 | 5.2.0 | 0 | -1 | |
| 49108ba9-1b7a-4a8a-9859-3d32e6a83926 | https://datasets.cellxgene.cziscience.com/1750a88d-9128-4dec-8671-763c9e8a783a.h5ad | 1750a88d-9128-4dec-8671-763c9e8a783a | /mnt/scratch/spatial_soma/source_h5ad/1750a88d-9128-4dec-8671-763c9e8a783a.h5ad | visium spatial - sample v02 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/1750a88d-9128-4dec-8671-763c9e8a783a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 59195737 | 4992 | 884.1909054487179 | 5.2.0 | 0 | -1 | |
| 31b49393-4485-4998-9ef4-33e03c4c1789 | https://datasets.cellxgene.cziscience.com/8978a080-a9f1-4586-91a3-add65e603c0e.h5ad | 8978a080-a9f1-4586-91a3-add65e603c0e | /mnt/scratch/spatial_soma/source_h5ad/8978a080-a9f1-4586-91a3-add65e603c0e.h5ad | visium spatial - sample v09 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/8978a080-a9f1-4586-91a3-add65e603c0e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2223750643 | 4992 | 1626.081530448718 | 5.2.0 | 0 | -1 | |
| 2d3e3c41-3425-4450-9914-95ed7edf7752 | https://datasets.cellxgene.cziscience.com/93a62d5d-396d-4a77-ad47-1dcd924ca722.h5ad | 93a62d5d-396d-4a77-ad47-1dcd924ca722 | /mnt/scratch/spatial_soma/source_h5ad/93a62d5d-396d-4a77-ad47-1dcd924ca722.h5ad | visium spatial - sample v05 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/93a62d5d-396d-4a77-ad47-1dcd924ca722.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 1924915954 | 4992 | 1309.0062099358975 | 5.2.0 | 0 | -1 | |
| 170e9c52-5e8a-4ccf-99b6-d45b25b14614 | https://datasets.cellxgene.cziscience.com/960b4f66-a1ca-4a86-953e-6435c1579618.h5ad | 960b4f66-a1ca-4a86-953e-6435c1579618 | /mnt/scratch/spatial_soma/source_h5ad/960b4f66-a1ca-4a86-953e-6435c1579618.h5ad | visium spatial - sample v07 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/960b4f66-a1ca-4a86-953e-6435c1579618.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2012065879 | 4992 | 968.7980769230769 | 5.2.0 | 0 | -1 | |
| fcfd30bb-8367-490f-b5e0-7dcb69ea83f4 | https://datasets.cellxgene.cziscience.com/9a837652-62c0-45d6-b1fd-7adad40b1f08.h5ad | 9a837652-62c0-45d6-b1fd-7adad40b1f08 | /mnt/scratch/spatial_soma/source_h5ad/9a837652-62c0-45d6-b1fd-7adad40b1f08.h5ad | IZ_P16 (ACH0016)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/9a837652-62c0-45d6-b1fd-7adad40b1f08.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 220756697 | 4992 | 1225.7201522435898 | 5.2.0 | 0 | -1 | |
| f7cd2a61-2bdc-41c0-a845-32f66a62c2b6 | https://datasets.cellxgene.cziscience.com/fa073fa5-e84e-4fa0-b2f6-e96a0adbe704.h5ad | fa073fa5-e84e-4fa0-b2f6-e96a0adbe704 | /mnt/scratch/spatial_soma/source_h5ad/fa073fa5-e84e-4fa0-b2f6-e96a0adbe704.h5ad | FZ_GT_P19 (ACH008)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/fa073fa5-e84e-4fa0-b2f6-e96a0adbe704.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 182535516 | 4992 | 952.8553685897435 | 5.2.0 | 0 | -1 | |
| eaf8f9a3-52fd-46c9-a05d-92a52451a42c | https://datasets.cellxgene.cziscience.com/97848b4f-abed-4948-91c8-52401fbb0530.h5ad | 97848b4f-abed-4948-91c8-52401fbb0530 | /mnt/scratch/spatial_soma/source_h5ad/97848b4f-abed-4948-91c8-52401fbb0530.h5ad | IZ_P10 (ACH0014)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/97848b4f-abed-4948-91c8-52401fbb0530.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 196160637 | 4992 | 1884.6790865384614 | 5.2.0 | 0 | -1 | |
| bc86f972-c8d0-4ef1-b296-9f6dead700aa | https://datasets.cellxgene.cziscience.com/f254ab6a-b522-458b-af4c-df009bfcb7bb.h5ad | f254ab6a-b522-458b-af4c-df009bfcb7bb | /mnt/scratch/spatial_soma/source_h5ad/f254ab6a-b522-458b-af4c-df009bfcb7bb.h5ad | RZ_BZ_P3 (10X0026)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/f254ab6a-b522-458b-af4c-df009bfcb7bb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 190807028 | 4992 | 2863.19671474359 | 5.2.0 | 0 | -1 | |
| 9eb5e239-740e-408b-a494-bfcf2fe8d05b | https://datasets.cellxgene.cziscience.com/32dcc7a2-963a-4b8e-bb0e-01d9664553b7.h5ad | 32dcc7a2-963a-4b8e-bb0e-01d9664553b7 | /mnt/scratch/spatial_soma/source_h5ad/32dcc7a2-963a-4b8e-bb0e-01d9664553b7.h5ad | RZ_P9 (ACH0023)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/32dcc7a2-963a-4b8e-bb0e-01d9664553b7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 186315490 | 4992 | 1206.2704326923076 | 5.2.0 | 0 | -1 | |
| 9849b046-445b-4460-a6d5-ce247c911a42 | https://datasets.cellxgene.cziscience.com/c2a32a8f-99d8-4045-b63a-4495c8340b88.h5ad | c2a32a8f-99d8-4045-b63a-4495c8340b88 | /mnt/scratch/spatial_soma/source_h5ad/c2a32a8f-99d8-4045-b63a-4495c8340b88.h5ad | FZ_GT_P4 (10X009)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/c2a32a8f-99d8-4045-b63a-4495c8340b88.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 148692083 | 4992 | 794.138421474359 | 5.2.0 | 0 | -1 | |
| 91d3b939-744f-45d3-b782-79196ed93612 | https://datasets.cellxgene.cziscience.com/16a08ab4-4ced-4dba-90f5-c9d90c598329.h5ad | 16a08ab4-4ced-4dba-90f5-c9d90c598329 | /mnt/scratch/spatial_soma/source_h5ad/16a08ab4-4ced-4dba-90f5-c9d90c598329.h5ad | IZ_BZ_P2 (10X0018)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/16a08ab4-4ced-4dba-90f5-c9d90c598329.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 167175746 | 4992 | 1802.274639423077 | 5.2.0 | 0 | -1 | |
| 8fb329fb-2801-494b-b1c9-8c01ca0e91bc | https://datasets.cellxgene.cziscience.com/04534182-19b0-48e9-ad87-dd32ab73f20c.h5ad | 04534182-19b0-48e9-ad87-dd32ab73f20c | /mnt/scratch/spatial_soma/source_h5ad/04534182-19b0-48e9-ad87-dd32ab73f20c.h5ad | GT_IZ_P13 (ACH0010)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/04534182-19b0-48e9-ad87-dd32ab73f20c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 172183263 | 4992 | 908.6039663461538 | 5.2.0 | 0 | -1 | |
| 87789c9c-c10d-47c8-ab63-5125a8e70216 | https://datasets.cellxgene.cziscience.com/0257045b-4992-412d-b361-a5265e5c1f0f.h5ad | 0257045b-4992-412d-b361-a5265e5c1f0f | /mnt/scratch/spatial_soma/source_h5ad/0257045b-4992-412d-b361-a5265e5c1f0f.h5ad | RZ_P11 (ACH0019)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/0257045b-4992-412d-b361-a5265e5c1f0f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 125307277 | 4992 | 754.9144631410256 | 5.2.0 | 0 | -1 | |
| 7f7d11a9-aa45-4b02-a263-35d88e4dcdd4 | https://datasets.cellxgene.cziscience.com/840a603a-6f2c-4722-b42e-58fb93410308.h5ad | 840a603a-6f2c-4722-b42e-58fb93410308 | /mnt/scratch/spatial_soma/source_h5ad/840a603a-6f2c-4722-b42e-58fb93410308.h5ad | RZ_GT_P2 (ACH0028)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/840a603a-6f2c-4722-b42e-58fb93410308.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 199002546 | 4992 | 1184.3946314102564 | 5.2.0 | 0 | -1 | |
| 77e04629-a8fa-4d34-bf5f-622d9aed9f35 | https://datasets.cellxgene.cziscience.com/892fd5c2-20cc-442c-af97-6ea1511d143f.h5ad | 892fd5c2-20cc-442c-af97-6ea1511d143f | /mnt/scratch/spatial_soma/source_h5ad/892fd5c2-20cc-442c-af97-6ea1511d143f.h5ad | control_P1 (10X001)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/892fd5c2-20cc-442c-af97-6ea1511d143f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 166205221 | 4992 | 1647.0316506410256 | 5.2.0 | 0 | -1 | |
| 66dc396c-7d51-4ad0-b1a5-abd0d59d3d67 | https://datasets.cellxgene.cziscience.com/73e39e35-2287-4c86-bfb4-b6c65bb0fcd8.h5ad | 73e39e35-2287-4c86-bfb4-b6c65bb0fcd8 | /mnt/scratch/spatial_soma/source_h5ad/73e39e35-2287-4c86-bfb4-b6c65bb0fcd8.h5ad | RZ_BZ_P2 (10X0025)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/73e39e35-2287-4c86-bfb4-b6c65bb0fcd8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 148069742 | 4992 | 1843.206530448718 | 5.2.0 | 0 | -1 | |
| 6476d8b6-1ad0-47b3-b243-846a08007311 | https://datasets.cellxgene.cziscience.com/3044ec4c-72e1-4912-b231-f6c3bf67fc59.h5ad | 3044ec4c-72e1-4912-b231-f6c3bf67fc59 | /mnt/scratch/spatial_soma/source_h5ad/3044ec4c-72e1-4912-b231-f6c3bf67fc59.h5ad | GT_IZ_P9 (ACH0012)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/3044ec4c-72e1-4912-b231-f6c3bf67fc59.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 234965248 | 4992 | 1868.6885016025642 | 5.2.0 | 0 | -1 | |
| 58af04fb-de1f-4ba3-8d19-d26610526f14 | https://datasets.cellxgene.cziscience.com/668c35fc-3f93-4507-9aaa-c5f843a29318.h5ad | 668c35fc-3f93-4507-9aaa-c5f843a29318 | /mnt/scratch/spatial_soma/source_h5ad/668c35fc-3f93-4507-9aaa-c5f843a29318.h5ad | control_P17 (ACH002)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/668c35fc-3f93-4507-9aaa-c5f843a29318.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 156987477 | 4992 | 775.4573317307693 | 5.2.0 | 0 | -1 | |
| 51a4096f-9fe3-49df-b201-6877a1f67868 | https://datasets.cellxgene.cziscience.com/d8377cb0-2a6a-4732-8b41-778cfbd374c5.h5ad | d8377cb0-2a6a-4732-8b41-778cfbd374c5 | /mnt/scratch/spatial_soma/source_h5ad/d8377cb0-2a6a-4732-8b41-778cfbd374c5.h5ad | RZ_P3 (10X0020)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/d8377cb0-2a6a-4732-8b41-778cfbd374c5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 165610656 | 4992 | 2275.089142628205 | 5.2.0 | 0 | -1 | |
| 4fd2ee79-ab3a-4827-a773-1b7dcd099307 | https://datasets.cellxgene.cziscience.com/bb559fee-02f7-4997-885e-a6bfd73d748b.h5ad | bb559fee-02f7-4997-885e-a6bfd73d748b | /mnt/scratch/spatial_soma/source_h5ad/bb559fee-02f7-4997-885e-a6bfd73d748b.h5ad | control_P7 (ACH003)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/bb559fee-02f7-4997-885e-a6bfd73d748b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 181942177 | 4992 | 1072.6991185897436 | 5.2.0 | 0 | -1 | |
| 4c367cfb-fd4c-4505-bac9-5456f4fb3a44 | https://datasets.cellxgene.cziscience.com/531aa52a-7b7c-4e5d-ab6e-f0f0fbff6968.h5ad | 531aa52a-7b7c-4e5d-ab6e-f0f0fbff6968 | /mnt/scratch/spatial_soma/source_h5ad/531aa52a-7b7c-4e5d-ab6e-f0f0fbff6968.h5ad | IZ_P3 (10X0017)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/531aa52a-7b7c-4e5d-ab6e-f0f0fbff6968.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 165115666 | 4992 | 1991.0 | 5.2.0 | 0 | -1 | |
| 4a6e55f0-a01e-46b5-9c49-8ecfdf042c71 | https://datasets.cellxgene.cziscience.com/567a0d3a-bcce-42c6-9079-34f25459a941.h5ad | 567a0d3a-bcce-42c6-9079-34f25459a941 | /mnt/scratch/spatial_soma/source_h5ad/567a0d3a-bcce-42c6-9079-34f25459a941.h5ad | GT_IZ_P15 (ACH0011)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/567a0d3a-bcce-42c6-9079-34f25459a941.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 234652043 | 4992 | 2659.2101362179487 | 5.2.0 | 0 | -1 | |
| 49a896ee-ac93-480a-8b58-19afa747d6b9 | https://datasets.cellxgene.cziscience.com/d5b5fb1d-42e9-4fd1-94f2-acd030613234.h5ad | d5b5fb1d-42e9-4fd1-94f2-acd030613234 | /mnt/scratch/spatial_soma/source_h5ad/d5b5fb1d-42e9-4fd1-94f2-acd030613234.h5ad | FZ_P20 (ACH007)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/d5b5fb1d-42e9-4fd1-94f2-acd030613234.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 200623764 | 4992 | 747.7786458333334 | 5.2.0 | 0 | -1 | |
| 32513e13-8f4a-4418-b4d5-faac85fa430d | https://datasets.cellxgene.cziscience.com/80790899-28bb-4c5c-ba09-20fce51a09b7.h5ad | 80790899-28bb-4c5c-ba09-20fce51a09b7 | /mnt/scratch/spatial_soma/source_h5ad/80790899-28bb-4c5c-ba09-20fce51a09b7.h5ad | GT_IZ_P9_rep2 (ACH0013)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/80790899-28bb-4c5c-ba09-20fce51a09b7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 260369359 | 4992 | 3114.2337740384614 | 5.2.0 | 0 | -1 | |
| 2257d8b0-7385-48b8-8dca-c5772592c5ea | https://datasets.cellxgene.cziscience.com/3522f056-504f-4cba-ad68-16be4f1647ce.h5ad | 3522f056-504f-4cba-ad68-16be4f1647ce | /mnt/scratch/spatial_soma/source_h5ad/3522f056-504f-4cba-ad68-16be4f1647ce.h5ad | control_P8 (ACH004)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/3522f056-504f-4cba-ad68-16be4f1647ce.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 160909726 | 4992 | 974.6550480769231 | 5.2.0 | 0 | -1 | |
| 1f2630df-fa28-4ebc-9e91-b870c93fc68a | https://datasets.cellxgene.cziscience.com/5f3c2c5a-6d52-444c-985c-21f2f8b8a227.h5ad | 5f3c2c5a-6d52-444c-985c-21f2f8b8a227 | /mnt/scratch/spatial_soma/source_h5ad/5f3c2c5a-6d52-444c-985c-21f2f8b8a227.h5ad | RZ_FZ_P5 (10X0027)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/5f3c2c5a-6d52-444c-985c-21f2f8b8a227.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 145100355 | 4992 | 1601.7239583333333 | 5.2.0 | 0 | -1 | |
| 1c50055f-6add-4035-b592-9e52a729663e | https://datasets.cellxgene.cziscience.com/c3dcc20f-08b7-46fe-9464-ab3622eb6748.h5ad | c3dcc20f-08b7-46fe-9464-ab3622eb6748 | /mnt/scratch/spatial_soma/source_h5ad/c3dcc20f-08b7-46fe-9464-ab3622eb6748.h5ad | FZ_P14 (ACH005)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/c3dcc20f-08b7-46fe-9464-ab3622eb6748.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 192272970 | 4992 | 1219.5472756410256 | 5.2.0 | 0 | -1 | |
| 1a0aec1a-e465-4bea-aaba-a6d58d0ba2c1 | https://datasets.cellxgene.cziscience.com/50a999f4-8a92-43c6-82b5-84d8d20b6f80.h5ad | 50a999f4-8a92-43c6-82b5-84d8d20b6f80 | /mnt/scratch/spatial_soma/source_h5ad/50a999f4-8a92-43c6-82b5-84d8d20b6f80.h5ad | RZ_P6 (ACH0022)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/50a999f4-8a92-43c6-82b5-84d8d20b6f80.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 202794176 | 4992 | 1703.9190705128206 | 5.2.0 | 0 | -1 | |
| 1017c6ce-80a5-492e-a82e-54b34a3c9f0b | https://datasets.cellxgene.cziscience.com/8e750d56-de7e-467e-8f65-552ed86fb1c2.h5ad | 8e750d56-de7e-467e-8f65-552ed86fb1c2 | /mnt/scratch/spatial_soma/source_h5ad/8e750d56-de7e-467e-8f65-552ed86fb1c2.h5ad | FZ_P18 (ACH006)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/8e750d56-de7e-467e-8f65-552ed86fb1c2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 169541885 | 4992 | 687.1961137820513 | 5.2.0 | 0 | -1 | |
| 0fe5eed4-bcbc-4c00-a388-00bc1455a9b7 | https://datasets.cellxgene.cziscience.com/af9d943a-bc3b-4466-8cbb-520704c8f34c.h5ad | af9d943a-bc3b-4466-8cbb-520704c8f34c | /mnt/scratch/spatial_soma/source_h5ad/af9d943a-bc3b-4466-8cbb-520704c8f34c.h5ad | IZ_P15 (ACH0015)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/af9d943a-bc3b-4466-8cbb-520704c8f34c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 221659370 | 4992 | 2373.166466346154 | 5.2.0 | 0 | -1 | |
| 05d4a216-5384-4724-bd2a-2ea38f02e7cc | https://datasets.cellxgene.cziscience.com/8c0083fc-be05-437f-936f-d447f50c5094.h5ad | 8c0083fc-be05-437f-936f-d447f50c5094 | /mnt/scratch/spatial_soma/source_h5ad/8c0083fc-be05-437f-936f-d447f50c5094.h5ad | RZ_BZ_P12 (ACH0024)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/8c0083fc-be05-437f-936f-d447f50c5094.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 197717507 | 4992 | 1250.0841346153845 | 5.2.0 | 0 | -1 | |
| b9b4cf27-9c22-410d-8bd8-5d43e379485b | https://datasets.cellxgene.cziscience.com/c255a811-d3c4-4620-a321-899685a6e656.h5ad | c255a811-d3c4-4620-a321-899685a6e656 | /mnt/scratch/spatial_soma/source_h5ad/c255a811-d3c4-4620-a321-899685a6e656.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A9 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/c255a811-d3c4-4620-a321-899685a6e656.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 58111292 | 4992 | 1230.9771634615386 | 5.2.0 | 0 | -1 | |
| 2d66790a-6621-4a49-8f0d-4002db5cc98d | https://datasets.cellxgene.cziscience.com/7800ea19-eb17-4af9-bf6e-700a2fd99531.h5ad | 7800ea19-eb17-4af9-bf6e-700a2fd99531 | /mnt/scratch/spatial_soma/source_h5ad/7800ea19-eb17-4af9-bf6e-700a2fd99531.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A8 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/7800ea19-eb17-4af9-bf6e-700a2fd99531.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 97015407 | 4992 | 1271.4505208333333 | 5.2.0 | 0 | -1 | |
| 08e94873-c2a6-4f7d-ab72-aeaff3e3f929 | https://datasets.cellxgene.cziscience.com/94d5d970-2346-443c-adb6-1095f4f6be3a.h5ad | 94d5d970-2346-443c-adb6-1095f4f6be3a | /mnt/scratch/spatial_soma/source_h5ad/94d5d970-2346-443c-adb6-1095f4f6be3a.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A7 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/94d5d970-2346-443c-adb6-1095f4f6be3a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 59792802 | 4992 | 816.5572916666666 | 5.2.0 | 0 | -1 | |
| aa0b5adb-957d-4f15-ab83-2c5cc2843f77 | https://datasets.cellxgene.cziscience.com/2bf7647b-fb77-424d-acab-ba5f742617a1.h5ad | 2bf7647b-fb77-424d-acab-ba5f742617a1 | /mnt/scratch/spatial_soma/source_h5ad/2bf7647b-fb77-424d-acab-ba5f742617a1.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A6 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/2bf7647b-fb77-424d-acab-ba5f742617a1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 73913658 | 4992 | 854.7842548076923 | 5.2.0 | 0 | -1 | |
| abd889c6-f60a-4fbd-924e-ee1e9dcf909b | https://datasets.cellxgene.cziscience.com/bf557ab7-7b91-489a-91d8-02d6c7f88942.h5ad | bf557ab7-7b91-489a-91d8-02d6c7f88942 | /mnt/scratch/spatial_soma/source_h5ad/bf557ab7-7b91-489a-91d8-02d6c7f88942.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A4 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/bf557ab7-7b91-489a-91d8-02d6c7f88942.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 78316164 | 4992 | 1251.0486778846155 | 5.2.0 | 0 | -1 | |
| 774de9c6-9752-4e39-89a9-2a88c869d52a | https://datasets.cellxgene.cziscience.com/94691346-2aad-4018-932c-834cbc1fa5a4.h5ad | 94691346-2aad-4018-932c-834cbc1fa5a4 | /mnt/scratch/spatial_soma/source_h5ad/94691346-2aad-4018-932c-834cbc1fa5a4.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A3 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/94691346-2aad-4018-932c-834cbc1fa5a4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 77530199 | 4992 | 1290.701923076923 | 5.2.0 | 0 | -1 | |
| 9dfd2243-74d6-4924-86bd-c206ca9287b1 | https://datasets.cellxgene.cziscience.com/feac32f0-0c00-46ff-a18c-6e4883dc19e6.h5ad | feac32f0-0c00-46ff-a18c-6e4883dc19e6 | /mnt/scratch/spatial_soma/source_h5ad/feac32f0-0c00-46ff-a18c-6e4883dc19e6.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Adult A2 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/feac32f0-0c00-46ff-a18c-6e4883dc19e6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 97037223 | 4992 | 1328.0060096153845 | 5.2.0 | 0 | -1 | |
| 4506d9e3-4543-4464-aeae-b0b04eee1cea | https://datasets.cellxgene.cziscience.com/0bd87ac7-1766-430b-8d9e-f3dfd880eaaf.h5ad | 0bd87ac7-1766-430b-8d9e-f3dfd880eaaf | /mnt/scratch/spatial_soma/source_h5ad/0bd87ac7-1766-430b-8d9e-f3dfd880eaaf.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Adult A1 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/0bd87ac7-1766-430b-8d9e-f3dfd880eaaf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 91779894 | 4992 | 997.9228766025641 | 5.2.0 | 0 | -1 |
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| dataset_id | dataset_asset_h5ad_uri | dataset_version_id | dataset_h5ad_path | dataset_title | citation | collection_id | collection_name | collection_doi | collection_doi_label | asset_h5ad_filesize | cell_count | mean_genes_per_cell | schema_version | dataset_total_cell_count | soma_joinid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| f12ab0e6-383c-4362-b1c6-922de09ccbc9 | https://datasets.cellxgene.cziscience.com/e092fcfd-0ec0-4109-bcff-146d03da850b.h5ad | e092fcfd-0ec0-4109-bcff-146d03da850b | /mnt/scratch/spatial_soma/source_h5ad/e092fcfd-0ec0-4109-bcff-146d03da850b.h5ad | HTAPP-812-SMP-8239 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/e092fcfd-0ec0-4109-bcff-146d03da850b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 62758989 | 10957 | 159.851784247513 | 5.2.0 | 0 | -1 | |
| e2824739-ea79-4efd-9434-3bec079b55d3 | https://datasets.cellxgene.cziscience.com/cb27eb27-e4d8-4009-91a7-dcd4a9bec90b.h5ad | cb27eb27-e4d8-4009-91a7-dcd4a9bec90b | /mnt/scratch/spatial_soma/source_h5ad/cb27eb27-e4d8-4009-91a7-dcd4a9bec90b.h5ad | HTAPP-364-SMP-1321 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/cb27eb27-e4d8-4009-91a7-dcd4a9bec90b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 21624080 | 2958 | 114.3471940500338 | 5.2.0 | 0 | -1 | |
| e06e9bf3-81ef-434d-bc86-08ec1266b155 | https://datasets.cellxgene.cziscience.com/a20bdcca-a595-4e04-b969-0eb6fb3f49ee.h5ad | a20bdcca-a595-4e04-b969-0eb6fb3f49ee | /mnt/scratch/spatial_soma/source_h5ad/a20bdcca-a595-4e04-b969-0eb6fb3f49ee.h5ad | HTAPP-944-SMP-7479 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/a20bdcca-a595-4e04-b969-0eb6fb3f49ee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 38565383 | 9422 | 382.5367225642114 | 5.2.0 | 0 | -1 | |
| aa6f371d-dacd-47e7-a774-e2f4495604a2 | https://datasets.cellxgene.cziscience.com/2a11a9f4-f96c-493b-9f1c-65d09d42ffd5.h5ad | 2a11a9f4-f96c-493b-9f1c-65d09d42ffd5 | /mnt/scratch/spatial_soma/source_h5ad/2a11a9f4-f96c-493b-9f1c-65d09d42ffd5.h5ad | HTAPP-895-SMP-7359 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/2a11a9f4-f96c-493b-9f1c-65d09d42ffd5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 21610295 | 6210 | 375.50531400966184 | 5.2.0 | 0 | -1 | |
| a6347c54-9e69-45e4-b1db-f5d84aa8321a | https://datasets.cellxgene.cziscience.com/7b822f51-ce85-4273-9671-3a6b4b8e4434.h5ad | 7b822f51-ce85-4273-9671-3a6b4b8e4434 | /mnt/scratch/spatial_soma/source_h5ad/7b822f51-ce85-4273-9671-3a6b4b8e4434.h5ad | HTAPP-313-SMP-932 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/7b822f51-ce85-4273-9671-3a6b4b8e4434.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 62327603 | 11484 | 177.8949843260188 | 5.2.0 | 0 | -1 | |
| 9c5f68fc-860f-414b-99c2-cc6be691aff3 | https://datasets.cellxgene.cziscience.com/d97315e9-9fad-4512-8d10-a8f52b2bd7fb.h5ad | d97315e9-9fad-4512-8d10-a8f52b2bd7fb | /mnt/scratch/spatial_soma/source_h5ad/d97315e9-9fad-4512-8d10-a8f52b2bd7fb.h5ad | HTAPP-330-SMP-1082 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/d97315e9-9fad-4512-8d10-a8f52b2bd7fb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 38148106 | 11851 | 151.307990886845 | 5.2.0 | 0 | -1 | |
| 9237e573-980a-4be6-b028-0f01cc064956 | https://datasets.cellxgene.cziscience.com/18790adb-2b01-442f-a4bb-5484725f1e7a.h5ad | 18790adb-2b01-442f-a4bb-5484725f1e7a | /mnt/scratch/spatial_soma/source_h5ad/18790adb-2b01-442f-a4bb-5484725f1e7a.h5ad | HTAPP-997-SMP-7789 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/18790adb-2b01-442f-a4bb-5484725f1e7a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 47465231 | 10892 | 181.80398457583547 | 5.2.0 | 0 | -1 | |
| 7432b873-1e96-4a8a-b97b-8921937f4afe | https://datasets.cellxgene.cziscience.com/cb85d932-3109-4377-b45e-ead575b04d43.h5ad | cb85d932-3109-4377-b45e-ead575b04d43 | /mnt/scratch/spatial_soma/source_h5ad/cb85d932-3109-4377-b45e-ead575b04d43.h5ad | HTAPP-917-SMP-4531 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/cb85d932-3109-4377-b45e-ead575b04d43.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 33720514 | 8715 | 216.74320137693633 | 5.2.0 | 0 | -1 | |
| 71e44b30-83b6-455c-a161-bc04c9898f00 | https://datasets.cellxgene.cziscience.com/63947866-efc8-480e-8afe-ca0e82eb0733.h5ad | 63947866-efc8-480e-8afe-ca0e82eb0733 | /mnt/scratch/spatial_soma/source_h5ad/63947866-efc8-480e-8afe-ca0e82eb0733.h5ad | HTAPP-853-SMP-4381 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/63947866-efc8-480e-8afe-ca0e82eb0733.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 49173488 | 11430 | 200.40069991251093 | 5.2.0 | 0 | -1 | |
| 6384d8b8-8511-4ffb-b543-26dc8dd5967a | https://datasets.cellxgene.cziscience.com/b018f7b4-cc5a-46c1-8ceb-43a61efde844.h5ad | b018f7b4-cc5a-46c1-8ceb-43a61efde844 | /mnt/scratch/spatial_soma/source_h5ad/b018f7b4-cc5a-46c1-8ceb-43a61efde844.h5ad | HTAPP-880-SMP-7179 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/b018f7b4-cc5a-46c1-8ceb-43a61efde844.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 50317388 | 22188 | 154.52330088336038 | 5.2.0 | 0 | -1 | |
| 59d14a35-0c86-4eee-90b7-fe59595f522c | https://datasets.cellxgene.cziscience.com/c5d3c3e3-8fa2-4d7c-a35c-6d176e60a6da.h5ad | c5d3c3e3-8fa2-4d7c-a35c-6d176e60a6da | /mnt/scratch/spatial_soma/source_h5ad/c5d3c3e3-8fa2-4d7c-a35c-6d176e60a6da.h5ad | HTAPP-783-SMP-4081 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/c5d3c3e3-8fa2-4d7c-a35c-6d176e60a6da.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 33222273 | 5833 | 109.4731698954226 | 5.2.0 | 0 | -1 | |
| 48b55b2b-c6a3-4288-a09e-e01e5078c678 | https://datasets.cellxgene.cziscience.com/54ea2bbe-1c63-44d6-8aed-ed68df208850.h5ad | 54ea2bbe-1c63-44d6-8aed-ed68df208850 | /mnt/scratch/spatial_soma/source_h5ad/54ea2bbe-1c63-44d6-8aed-ed68df208850.h5ad | HTAPP-213-SMP-6752 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/54ea2bbe-1c63-44d6-8aed-ed68df208850.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 67012015 | 9362 | 157.97917111728262 | 5.2.0 | 0 | -1 | |
| 1637e817-d091-4793-a3af-796ef57e2668 | https://datasets.cellxgene.cziscience.com/db4b5e64-71bd-4ed8-8ec9-21471194485b.h5ad | db4b5e64-71bd-4ed8-8ec9-21471194485b | /mnt/scratch/spatial_soma/source_h5ad/db4b5e64-71bd-4ed8-8ec9-21471194485b.h5ad | HTAPP-982-SMP-7629 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/db4b5e64-71bd-4ed8-8ec9-21471194485b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 26987745 | 8086 | 242.77801137768984 | 5.2.0 | 0 | -1 | |
| 0f9d1892-919a-4f51-8b95-0b50750da1e6 | https://datasets.cellxgene.cziscience.com/bbb948de-63b9-41de-ae9a-c4b539ad8b31.h5ad | bbb948de-63b9-41de-ae9a-c4b539ad8b31 | /mnt/scratch/spatial_soma/source_h5ad/bbb948de-63b9-41de-ae9a-c4b539ad8b31.h5ad | HTAPP-514-SMP-6760 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/bbb948de-63b9-41de-ae9a-c4b539ad8b31.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 145442258 | 33272 | 245.3776148112527 | 5.2.0 | 0 | -1 | |
| 02aa7750-ed05-4eca-8061-766c68a81a22 | https://datasets.cellxgene.cziscience.com/7fc3bec0-6f00-47ad-8a02-b2ca92188b19.h5ad | 7fc3bec0-6f00-47ad-8a02-b2ca92188b19 | /mnt/scratch/spatial_soma/source_h5ad/7fc3bec0-6f00-47ad-8a02-b2ca92188b19.h5ad | HTAPP-878-SMP-7149 Slide-seq | Publication: https://doi.org/10.1038/s41591-024-03215-z Dataset Version: https://datasets.cellxgene.cziscience.com/7fc3bec0-6f00-47ad-8a02-b2ca92188b19.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/a96133de-e951-4e2d-ace6-59db8b3bfb1d | a96133de-e951-4e2d-ace6-59db8b3bfb1d | HTAN/HTAPP Broad - Spatio-molecular dissection of the breast cancer metastatic microenvironment | 10.1038/s41591-024-03215-z | Klughammer et al. (2024) Nat Med | 66518822 | 22033 | 126.67925384650297 | 5.2.0 | 0 | -1 | |
| b2005457-dede-4434-a9c3-dbe41fcd542e | https://datasets.cellxgene.cziscience.com/cb46feff-d5bd-41e6-91c5-ce4daddc066e.h5ad | cb46feff-d5bd-41e6-91c5-ce4daddc066e | /mnt/scratch/spatial_soma/source_h5ad/cb46feff-d5bd-41e6-91c5-ce4daddc066e.h5ad | slide-seqV2 analysis of aorta | Publication: https://doi.org/10.1101/2024.09.10.612293 Dataset Version: https://datasets.cellxgene.cziscience.com/cb46feff-d5bd-41e6-91c5-ce4daddc066e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8f17ac63-aaba-44b5-9b78-60f121da4c2f | 8f17ac63-aaba-44b5-9b78-60f121da4c2f | A Coding and Non-Coding Atlas of the Human Arterial Cell | 10.1101/2024.09.10.612293 | Zhao et al. (2024) bioRxiv | 9814874 | 6142 | 138.03223705633343 | 5.2.0 | 0 | -1 | |
| 56ce05c9-72f0-47ce-ab6d-f18711cf1be8 | https://datasets.cellxgene.cziscience.com/281f1647-eb1f-44db-9d34-01faf8d45ffe.h5ad | 281f1647-eb1f-44db-9d34-01faf8d45ffe | /mnt/scratch/spatial_soma/source_h5ad/281f1647-eb1f-44db-9d34-01faf8d45ffe.h5ad | slide-seqV2 analysis of right coronary artery | Publication: https://doi.org/10.1101/2024.09.10.612293 Dataset Version: https://datasets.cellxgene.cziscience.com/281f1647-eb1f-44db-9d34-01faf8d45ffe.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8f17ac63-aaba-44b5-9b78-60f121da4c2f | 8f17ac63-aaba-44b5-9b78-60f121da4c2f | A Coding and Non-Coding Atlas of the Human Arterial Cell | 10.1101/2024.09.10.612293 | Zhao et al. (2024) bioRxiv | 19441012 | 12744 | 193.48108913998743 | 5.2.0 | 0 | -1 | |
| fb5b437f-69b8-47ee-82ed-b5e784193d64 | https://datasets.cellxgene.cziscience.com/b0a457a6-5542-40e1-8e93-385ff98afc8d.h5ad | b0a457a6-5542-40e1-8e93-385ff98afc8d | /mnt/scratch/spatial_soma/source_h5ad/b0a457a6-5542-40e1-8e93-385ff98afc8d.h5ad | Normal Lymph Node Puck_201014_06 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/b0a457a6-5542-40e1-8e93-385ff98afc8d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 22767870 | 26027 | 307.44242517385794 | 5.2.0 | 0 | -1 | |
| f339fe89-c99c-4f50-b76d-2ffe9d376500 | https://datasets.cellxgene.cziscience.com/4a074e6d-b5b4-43d2-b5dc-d00dc37128a1.h5ad | 4a074e6d-b5b4-43d2-b5dc-d00dc37128a1 | /mnt/scratch/spatial_soma/source_h5ad/4a074e6d-b5b4-43d2-b5dc-d00dc37128a1.h5ad | Renal cell carcinoma, pre aPD1, kidney Puck_200727_13 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/4a074e6d-b5b4-43d2-b5dc-d00dc37128a1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 17925869 | 20021 | 300.2033364966785 | 5.2.0 | 0 | -1 | |
| dcb7c544-bf18-4f9a-97a4-aa816910d862 | https://datasets.cellxgene.cziscience.com/62a08d13-7ff9-46ec-a77c-5278eefc5a19.h5ad | 62a08d13-7ff9-46ec-a77c-5278eefc5a19 | /mnt/scratch/spatial_soma/source_h5ad/62a08d13-7ff9-46ec-a77c-5278eefc5a19.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220408_07 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/62a08d13-7ff9-46ec-a77c-5278eefc5a19.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 39517891 | 40982 | 309.02264408764825 | 5.2.0 | 0 | -1 | |
| d4dc4cfe-7da5-4e56-bf96-83f01082f5df | https://datasets.cellxgene.cziscience.com/566c77da-caac-4cd0-a74a-3b23cf7d1323.h5ad | 566c77da-caac-4cd0-a74a-3b23cf7d1323 | /mnt/scratch/spatial_soma/source_h5ad/566c77da-caac-4cd0-a74a-3b23cf7d1323.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220215_14 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/566c77da-caac-4cd0-a74a-3b23cf7d1323.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 41071569 | 36785 | 362.6880250101944 | 5.2.0 | 0 | -1 | |
| cc43509e-8729-4cbc-ace9-f0f7d654ee53 | https://datasets.cellxgene.cziscience.com/52e48e6c-a0d2-4a3d-ad16-1570c397929c.h5ad | 52e48e6c-a0d2-4a3d-ad16-1570c397929c | /mnt/scratch/spatial_soma/source_h5ad/52e48e6c-a0d2-4a3d-ad16-1570c397929c.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_200727_10 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/52e48e6c-a0d2-4a3d-ad16-1570c397929c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 18835654 | 15366 | 415.1127163868281 | 5.2.0 | 0 | -1 | |
| c62ac8e5-72d1-48d1-8bb5-9e66fd2b1e19 | https://datasets.cellxgene.cziscience.com/6a01686c-f4d6-4fa0-b255-da0dcfcd1804.h5ad | 6a01686c-f4d6-4fa0-b255-da0dcfcd1804 | /mnt/scratch/spatial_soma/source_h5ad/6a01686c-f4d6-4fa0-b255-da0dcfcd1804.h5ad | Normal Spleen OT1 Puck_200727_02 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/6a01686c-f4d6-4fa0-b255-da0dcfcd1804.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 10777462 | 11510 | 288.92667245873156 | 5.2.0 | 0 | -1 | |
| b3052902-613c-4b04-a0f5-bafd397bb125 | https://datasets.cellxgene.cziscience.com/2a9beab1-7feb-4b07-811b-f8e429f0d6b1.h5ad | 2a9beab1-7feb-4b07-811b-f8e429f0d6b1 | /mnt/scratch/spatial_soma/source_h5ad/2a9beab1-7feb-4b07-811b-f8e429f0d6b1.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220408_12 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/2a9beab1-7feb-4b07-811b-f8e429f0d6b1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 32161793 | 37193 | 265.2022961309924 | 5.2.0 | 0 | -1 | |
| ae4552dc-e2ea-4d67-b375-03ec7480f780 | https://datasets.cellxgene.cziscience.com/bd7a9706-e537-43bf-ab25-754550df3aa5.h5ad | bd7a9706-e537-43bf-ab25-754550df3aa5 | /mnt/scratch/spatial_soma/source_h5ad/bd7a9706-e537-43bf-ab25-754550df3aa5.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220408_09 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/bd7a9706-e537-43bf-ab25-754550df3aa5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 33335383 | 37275 | 280.1065861837693 | 5.2.0 | 0 | -1 | |
| 9b1437bb-42fe-47d8-8962-835d95581763 | https://datasets.cellxgene.cziscience.com/9b84d002-a939-406e-99ed-ed35979aef1c.h5ad | 9b84d002-a939-406e-99ed-ed35979aef1c | /mnt/scratch/spatial_soma/source_h5ad/9b84d002-a939-406e-99ed-ed35979aef1c.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_200727_09 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/9b84d002-a939-406e-99ed-ed35979aef1c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 15055963 | 14990 | 322.4350233488993 | 5.2.0 | 0 | -1 | |
| 89972213-8510-49c3-a55a-01cd248ef88a | https://datasets.cellxgene.cziscience.com/19a9b03d-5534-42e8-8b89-c508935c661c.h5ad | 19a9b03d-5534-42e8-8b89-c508935c661c | /mnt/scratch/spatial_soma/source_h5ad/19a9b03d-5534-42e8-8b89-c508935c661c.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220215_13 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/19a9b03d-5534-42e8-8b89-c508935c661c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 29206192 | 27757 | 329.012825593544 | 5.2.0 | 0 | -1 | |
| 76bb43ff-e2f5-4513-a0f0-1059c860c3b7 | https://datasets.cellxgene.cziscience.com/23faf7da-1792-4069-b20c-a035fd301698.h5ad | 23faf7da-1792-4069-b20c-a035fd301698 | /mnt/scratch/spatial_soma/source_h5ad/23faf7da-1792-4069-b20c-a035fd301698.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220408_08 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/23faf7da-1792-4069-b20c-a035fd301698.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 11505366 | 19034 | 127.49028055059368 | 5.2.0 | 0 | -1 | |
| 6d243918-f3f6-4a9e-b72e-39d96de73095 | https://datasets.cellxgene.cziscience.com/70899125-f279-449b-8a80-c2ce52f518e4.h5ad | 70899125-f279-449b-8a80-c2ce52f518e4 | /mnt/scratch/spatial_soma/source_h5ad/70899125-f279-449b-8a80-c2ce52f518e4.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_200727_08 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/70899125-f279-449b-8a80-c2ce52f518e4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 20802055 | 18851 | 380.3645429950666 | 5.2.0 | 0 | -1 | |
| 50c4a6d6-940b-4c6a-a376-aea2ae2d3168 | https://datasets.cellxgene.cziscience.com/34494d50-70cc-4514-af9d-546a4e6d5236.h5ad | 34494d50-70cc-4514-af9d-546a4e6d5236 | /mnt/scratch/spatial_soma/source_h5ad/34494d50-70cc-4514-af9d-546a4e6d5236.h5ad | Cutaneous melanoma, lymph node metastasis Puck_220215_11 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/34494d50-70cc-4514-af9d-546a4e6d5236.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 20953006 | 21003 | 291.63971813550444 | 5.2.0 | 0 | -1 | |
| 4aefec71-da4e-48ec-a910-c542b5807c7d | https://datasets.cellxgene.cziscience.com/20a80421-84f6-410f-b4c8-96aa2515fa64.h5ad | 20a80421-84f6-410f-b4c8-96aa2515fa64 | /mnt/scratch/spatial_soma/source_h5ad/20a80421-84f6-410f-b4c8-96aa2515fa64.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_220408_14 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/20a80421-84f6-410f-b4c8-96aa2515fa64.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 28329757 | 37568 | 217.0359880749574 | 5.2.0 | 0 | -1 | |
| 32ffc3a7-c88d-49e1-894f-8e09d0184ee9 | https://datasets.cellxgene.cziscience.com/428cddbd-6041-491c-bcb2-e10169ac61cb.h5ad | 428cddbd-6041-491c-bcb2-e10169ac61cb | /mnt/scratch/spatial_soma/source_h5ad/428cddbd-6041-491c-bcb2-e10169ac61cb.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_220408_13 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/428cddbd-6041-491c-bcb2-e10169ac61cb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 26318119 | 40217 | 179.86319218241042 | 5.2.0 | 0 | -1 | |
| 18fd0190-229d-4d2b-8f28-1e40c49c750d | https://datasets.cellxgene.cziscience.com/d5262dad-641f-4152-ace8-158966134b01.h5ad | d5262dad-641f-4152-ace8-158966134b01 | /mnt/scratch/spatial_soma/source_h5ad/d5262dad-641f-4152-ace8-158966134b01.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_220408_20 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/d5262dad-641f-4152-ace8-158966134b01.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 29761432 | 37563 | 232.56457151984665 | 5.2.0 | 0 | -1 | |
| 16101789-b95d-4b05-bd76-75ae837a557b | https://datasets.cellxgene.cziscience.com/9a9e7428-9397-409c-a699-7eb6f95923ab.h5ad | 9a9e7428-9397-409c-a699-7eb6f95923ab | /mnt/scratch/spatial_soma/source_h5ad/9a9e7428-9397-409c-a699-7eb6f95923ab.h5ad | Normal Tonsil Puck_210119_22 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/9a9e7428-9397-409c-a699-7eb6f95923ab.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 17092958 | 26917 | 201.59690901660662 | 5.2.0 | 0 | -1 | |
| 07efa1c3-7649-43d8-b798-e26a0145ee65 | https://datasets.cellxgene.cziscience.com/20bb0094-2b6b-4459-995a-0766b5510bd6.h5ad | 20bb0094-2b6b-4459-995a-0766b5510bd6 | /mnt/scratch/spatial_soma/source_h5ad/20bb0094-2b6b-4459-995a-0766b5510bd6.h5ad | Renal cell carcinoma, post aPD1, lung metastasis Puck_220408_15 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/20bb0094-2b6b-4459-995a-0766b5510bd6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 28573145 | 35839 | 236.18178520606043 | 5.2.0 | 0 | -1 | |
| 02faf712-92d4-4589-bec7-13105059cf86 | https://datasets.cellxgene.cziscience.com/be671006-d1c3-43e0-8c75-899824a6f0e2.h5ad | be671006-d1c3-43e0-8c75-899824a6f0e2 | /mnt/scratch/spatial_soma/source_h5ad/be671006-d1c3-43e0-8c75-899824a6f0e2.h5ad | Renal cell carcinoma, pre aPD1, kidney Puck_200727_12 | Publication: https://doi.org/10.1016/j.immuni.2022.09.002 Dataset Version: https://datasets.cellxgene.cziscience.com/be671006-d1c3-43e0-8c75-899824a6f0e2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/02b01703-bf1b-48de-b99a-23bef8cccc81 | 02b01703-bf1b-48de-b99a-23bef8cccc81 | Spatially mapping T cell receptors and transcriptomes | 10.1016/j.immuni.2022.09.002 | Liu et al. (2022) Immunity | 14706576 | 17612 | 266.4578128548717 | 5.2.0 | 0 | -1 | |
| fe70db78-88b8-4bf7-8449-7aa177d51978 | https://datasets.cellxgene.cziscience.com/25167967-ba95-4423-9008-49499ec92aff.h5ad | 25167967-ba95-4423-9008-49499ec92aff | /mnt/scratch/spatial_soma/source_h5ad/25167967-ba95-4423-9008-49499ec92aff.h5ad | E9.0: Puck_220718_36 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/25167967-ba95-4423-9008-49499ec92aff.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 14158088 | 3374 | 425.44190871369295 | 5.2.0 | 0 | -1 | |
| fbe47774-3427-44c6-9c93-c11700c5f6b8 | https://datasets.cellxgene.cziscience.com/1fa2515e-fbff-4bf3-a724-185b0838dbfa.h5ad | 1fa2515e-fbff-4bf3-a724-185b0838dbfa | /mnt/scratch/spatial_soma/source_h5ad/1fa2515e-fbff-4bf3-a724-185b0838dbfa.h5ad | E9.0: Puck_220718_03 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/1fa2515e-fbff-4bf3-a724-185b0838dbfa.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 16172416 | 2477 | 758.8518368994752 | 5.2.0 | 0 | -1 | |
| fa76879f-8af0-439d-a4af-bf9660b98293 | https://datasets.cellxgene.cziscience.com/2561ca47-52de-4187-a4b4-49f4a18ffb39.h5ad | 2561ca47-52de-4187-a4b4-49f4a18ffb39 | /mnt/scratch/spatial_soma/source_h5ad/2561ca47-52de-4187-a4b4-49f4a18ffb39.h5ad | E8.5_rep1: 201104_19 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/2561ca47-52de-4187-a4b4-49f4a18ffb39.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 54800622 | 6780 | 1593.679646017699 | 5.2.0 | 0 | -1 | |
| f10b80d2-836c-48b4-8839-96aabb8262c1 | https://datasets.cellxgene.cziscience.com/79cdf339-f637-4b3f-88a2-f9e549d8e827.h5ad | 79cdf339-f637-4b3f-88a2-f9e549d8e827 | /mnt/scratch/spatial_soma/source_h5ad/79cdf339-f637-4b3f-88a2-f9e549d8e827.h5ad | E9.0: Puck_220718_38 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/79cdf339-f637-4b3f-88a2-f9e549d8e827.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 22034447 | 5779 | 544.5049316490743 | 5.2.0 | 0 | -1 | |
| ef962681-c4a1-4e7c-b43e-a58a67d3a115 | https://datasets.cellxgene.cziscience.com/69e879da-fff2-4ec1-8e4f-2d7b7cfde1ad.h5ad | 69e879da-fff2-4ec1-8e4f-2d7b7cfde1ad | /mnt/scratch/spatial_soma/source_h5ad/69e879da-fff2-4ec1-8e4f-2d7b7cfde1ad.h5ad | E8.5_rep1: 201104_07 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/69e879da-fff2-4ec1-8e4f-2d7b7cfde1ad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 39177964 | 6562 | 1057.9580920451083 | 5.2.0 | 0 | -1 | |
| ee0b378d-d327-4c7d-baa6-28f062767c61 | https://datasets.cellxgene.cziscience.com/fb33254b-dc6b-4880-8ae5-08074d007539.h5ad | fb33254b-dc6b-4880-8ae5-08074d007539 | /mnt/scratch/spatial_soma/source_h5ad/fb33254b-dc6b-4880-8ae5-08074d007539.h5ad | E9.5: 201104_33 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/fb33254b-dc6b-4880-8ae5-08074d007539.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 121531196 | 18297 | 1374.8399191124229 | 5.2.0 | 0 | -1 | |
| ed4abbae-72c4-430e-b8a9-954c2f92ac73 | https://datasets.cellxgene.cziscience.com/db4c5dad-5e75-4121-82c6-784a39c26a32.h5ad | db4c5dad-5e75-4121-82c6-784a39c26a32 | /mnt/scratch/spatial_soma/source_h5ad/db4c5dad-5e75-4121-82c6-784a39c26a32.h5ad | E8.5_rep1: 201104_29 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/db4c5dad-5e75-4121-82c6-784a39c26a32.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 30767895 | 4166 | 1216.5187229956794 | 5.2.0 | 0 | -1 | |
| ec88a0a8-73f3-4625-8c26-aa2a8f65ae02 | https://datasets.cellxgene.cziscience.com/d6c0ab26-ecdf-473f-8cfb-fe486e6bd436.h5ad | d6c0ab26-ecdf-473f-8cfb-fe486e6bd436 | /mnt/scratch/spatial_soma/source_h5ad/d6c0ab26-ecdf-473f-8cfb-fe486e6bd436.h5ad | E8.5_rep2: Puck_220815_30 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d6c0ab26-ecdf-473f-8cfb-fe486e6bd436.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 28164605 | 4723 | 942.8850307008257 | 5.2.0 | 0 | -1 | |
| eb16bcf7-9c67-4ecf-989f-34d8ca71cb61 | https://datasets.cellxgene.cziscience.com/42261d4d-721d-4795-8c1b-c162c92f53bc.h5ad | 42261d4d-721d-4795-8c1b-c162c92f53bc | /mnt/scratch/spatial_soma/source_h5ad/42261d4d-721d-4795-8c1b-c162c92f53bc.h5ad | E8.5_rep1: 201104_17 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/42261d4d-721d-4795-8c1b-c162c92f53bc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 68363116 | 7176 | 1891.3833612040135 | 5.2.0 | 0 | -1 | |
| eb14101c-cfd3-4a74-9823-14215ee93704 | https://datasets.cellxgene.cziscience.com/cd6044c1-1136-4256-ba2e-af4d88423ef2.h5ad | cd6044c1-1136-4256-ba2e-af4d88423ef2 | /mnt/scratch/spatial_soma/source_h5ad/cd6044c1-1136-4256-ba2e-af4d88423ef2.h5ad | E8.5_rep1: 201104_27 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/cd6044c1-1136-4256-ba2e-af4d88423ef2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 34260576 | 3749 | 1571.7594025073354 | 5.2.0 | 0 | -1 | |
| e6e8a767-b862-4006-a393-67719c3082b3 | https://datasets.cellxgene.cziscience.com/09fde6e5-612b-4871-8f4f-46dbb477fa64.h5ad | 09fde6e5-612b-4871-8f4f-46dbb477fa64 | /mnt/scratch/spatial_soma/source_h5ad/09fde6e5-612b-4871-8f4f-46dbb477fa64.h5ad | E9.0: Puck_220718_29 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/09fde6e5-612b-4871-8f4f-46dbb477fa64.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 29793402 | 7389 | 647.5313303559345 | 5.2.0 | 0 | -1 | |
| e5ac5022-58de-44bb-ae88-a34c94e1b45b | https://datasets.cellxgene.cziscience.com/7fe3170f-8498-4844-9e51-8689e065b650.h5ad | 7fe3170f-8498-4844-9e51-8689e065b650 | /mnt/scratch/spatial_soma/source_h5ad/7fe3170f-8498-4844-9e51-8689e065b650.h5ad | E9.0: Puck_220615_34 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/7fe3170f-8498-4844-9e51-8689e065b650.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 15159908 | 3316 | 495.645958986731 | 5.2.0 | 0 | -1 | |
| e545cafe-80f4-494e-bbb1-e95c86955756 | https://datasets.cellxgene.cziscience.com/28758f93-4149-48c8-a4ff-5d0ff28b9d16.h5ad | 28758f93-4149-48c8-a4ff-5d0ff28b9d16 | /mnt/scratch/spatial_soma/source_h5ad/28758f93-4149-48c8-a4ff-5d0ff28b9d16.h5ad | E9.0: Puck_220718_10 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/28758f93-4149-48c8-a4ff-5d0ff28b9d16.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 11475104 | 1336 | 647.5306886227545 | 5.2.0 | 0 | -1 | |
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| b9587a4d-8043-4c88-b13e-24eedc645625 | https://datasets.cellxgene.cziscience.com/d7f77dc2-0ee1-4c61-8a65-731f2ced9d56.h5ad | d7f77dc2-0ee1-4c61-8a65-731f2ced9d56 | /mnt/scratch/spatial_soma/source_h5ad/d7f77dc2-0ee1-4c61-8a65-731f2ced9d56.h5ad | E8.5_rep2: Puck_220815_09 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d7f77dc2-0ee1-4c61-8a65-731f2ced9d56.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 24287619 | 3648 | 991.5975877192982 | 5.2.0 | 0 | -1 | |
| b09f9b6a-7c4b-4345-9298-153bdc41191a | https://datasets.cellxgene.cziscience.com/cc385c8d-50cb-4040-a949-bb657c7b2c05.h5ad | cc385c8d-50cb-4040-a949-bb657c7b2c05 | /mnt/scratch/spatial_soma/source_h5ad/cc385c8d-50cb-4040-a949-bb657c7b2c05.h5ad | E9.0: Puck_220615_36 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/cc385c8d-50cb-4040-a949-bb657c7b2c05.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 14315927 | 3076 | 471.13036410923274 | 5.2.0 | 0 | -1 | |
| a41c2ddc-e1b8-44bd-948a-ecdf8b80c94d | https://datasets.cellxgene.cziscience.com/2557d94c-4fbd-4c6b-8786-f5f524b83588.h5ad | 2557d94c-4fbd-4c6b-8786-f5f524b83588 | /mnt/scratch/spatial_soma/source_h5ad/2557d94c-4fbd-4c6b-8786-f5f524b83588.h5ad | E8.5_rep1: 201104_26 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/2557d94c-4fbd-4c6b-8786-f5f524b83588.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 46857132 | 5733 | 1514.543868829583 | 5.2.0 | 0 | -1 | |
| 9f670522-99d3-4e01-8fee-42f830b33f6b | https://datasets.cellxgene.cziscience.com/3900b3e3-27ac-4d21-92e3-6326b23daca2.h5ad | 3900b3e3-27ac-4d21-92e3-6326b23daca2 | /mnt/scratch/spatial_soma/source_h5ad/3900b3e3-27ac-4d21-92e3-6326b23daca2.h5ad | E8.5_rep2: Puck_220815_13 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/3900b3e3-27ac-4d21-92e3-6326b23daca2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 27150101 | 4616 | 916.6802426343154 | 5.2.0 | 0 | -1 | |
| 97232c2e-9e82-4126-8142-310a998fb6b5 | https://datasets.cellxgene.cziscience.com/64ce08ce-efaf-46dc-9c3a-5878ceae43fd.h5ad | 64ce08ce-efaf-46dc-9c3a-5878ceae43fd | /mnt/scratch/spatial_soma/source_h5ad/64ce08ce-efaf-46dc-9c3a-5878ceae43fd.h5ad | E8.5_rep2: Puck_220815_02 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/64ce08ce-efaf-46dc-9c3a-5878ceae43fd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 19319179 | 3553 | 811.6813960033775 | 5.2.0 | 0 | -1 | |
| 935e5c60-1ca6-44fb-ba3d-00d81e81a8f5 | https://datasets.cellxgene.cziscience.com/8cece1fd-2566-4415-b3f1-15f40ff170c4.h5ad | 8cece1fd-2566-4415-b3f1-15f40ff170c4 | /mnt/scratch/spatial_soma/source_h5ad/8cece1fd-2566-4415-b3f1-15f40ff170c4.h5ad | E8.5_rep2: Puck_220815_33 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/8cece1fd-2566-4415-b3f1-15f40ff170c4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 30601641 | 5038 | 989.1331877729258 | 5.2.0 | 0 | -1 | |
| 90b5dc35-2750-4759-8936-fce33ba774e6 | https://datasets.cellxgene.cziscience.com/0bd5a79d-aa3f-4ebb-8a2c-95a1b613634b.h5ad | 0bd5a79d-aa3f-4ebb-8a2c-95a1b613634b | /mnt/scratch/spatial_soma/source_h5ad/0bd5a79d-aa3f-4ebb-8a2c-95a1b613634b.h5ad | E8.5_rep2: Puck_220815_11 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/0bd5a79d-aa3f-4ebb-8a2c-95a1b613634b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 23083263 | 3760 | 899.0268617021277 | 5.2.0 | 0 | -1 | |
| 89528652-74fc-4a58-9aba-ca36b63d9f78 | https://datasets.cellxgene.cziscience.com/a3c7587c-7867-46a1-8b5a-5e7e513b17ea.h5ad | a3c7587c-7867-46a1-8b5a-5e7e513b17ea | /mnt/scratch/spatial_soma/source_h5ad/a3c7587c-7867-46a1-8b5a-5e7e513b17ea.h5ad | E8.5_rep1: 201104_12 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/a3c7587c-7867-46a1-8b5a-5e7e513b17ea.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 61736509 | 8425 | 1419.0744213649853 | 5.2.0 | 0 | -1 | |
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| 87e59b09-4283-4a3c-b05d-aed621746c8a | https://datasets.cellxgene.cziscience.com/572756bd-fb19-42c3-9711-f9a05a2c6ef6.h5ad | 572756bd-fb19-42c3-9711-f9a05a2c6ef6 | /mnt/scratch/spatial_soma/source_h5ad/572756bd-fb19-42c3-9711-f9a05a2c6ef6.h5ad | E8.5_rep1: 201104_22 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/572756bd-fb19-42c3-9711-f9a05a2c6ef6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 58213696 | 6931 | 1620.1356225652864 | 5.2.0 | 0 | -1 | |
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| 52069da9-5f98-4ae3-8b2f-514afe3ca00f | https://datasets.cellxgene.cziscience.com/a5c8f727-4001-44c8-ad60-e5c775be8c4b.h5ad | a5c8f727-4001-44c8-ad60-e5c775be8c4b | /mnt/scratch/spatial_soma/source_h5ad/a5c8f727-4001-44c8-ad60-e5c775be8c4b.h5ad | E9.5: 201112_02 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/a5c8f727-4001-44c8-ad60-e5c775be8c4b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 93496517 | 16931 | 1124.1676805859074 | 5.2.0 | 0 | -1 | |
| 4c721895-e5cc-4d5c-ba93-ce34754f7396 | https://datasets.cellxgene.cziscience.com/e12ecb2b-414f-4482-b5fa-351c87630717.h5ad | e12ecb2b-414f-4482-b5fa-351c87630717 | /mnt/scratch/spatial_soma/source_h5ad/e12ecb2b-414f-4482-b5fa-351c87630717.h5ad | E8.5_rep1: 201104_08 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/e12ecb2b-414f-4482-b5fa-351c87630717.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 46948210 | 6744 | 1294.2396204033214 | 5.2.0 | 0 | -1 | |
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| 09286690-98b5-4095-b0b1-3ded23a9dd3a | https://datasets.cellxgene.cziscience.com/5ce14125-7e56-42f0-9dac-ef73432172a3.h5ad | 5ce14125-7e56-42f0-9dac-ef73432172a3 | /mnt/scratch/spatial_soma/source_h5ad/5ce14125-7e56-42f0-9dac-ef73432172a3.h5ad | E9.0: Puck_220718_17 | Publication: https://doi.org/10.1038/s41588-023-01435-6 Dataset Version: https://datasets.cellxgene.cziscience.com/5ce14125-7e56-42f0-9dac-ef73432172a3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/d74b6979-efba-47cd-990a-9d80ccf29055 | d74b6979-efba-47cd-990a-9d80ccf29055 | Spatial transcriptomic maps of whole mouse embryos reveal principles of neural tube patterning | 10.1038/s41588-023-01435-6 | Sampath Kumar et al. (2023) Nat Genet | 19631597 | 4507 | 580.2509429775904 | 5.2.0 | 0 | -1 | |
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| f6d0baa0-bcda-4bb2-b494-9d933645bb70 | https://datasets.cellxgene.cziscience.com/332963fa-d714-4cfe-a0d6-f5be96610894.h5ad | 332963fa-d714-4cfe-a0d6-f5be96610894 | /mnt/scratch/spatial_soma/source_h5ad/332963fa-d714-4cfe-a0d6-f5be96610894.h5ad | Spatial transcriptomics in mouse: Puck_191223_15 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/332963fa-d714-4cfe-a0d6-f5be96610894.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 37106176 | 34638 | 413.823633004215 | 5.2.0 | 0 | -1 | |
| f37699b9-abcd-45e1-b8a9-fd406fe18c25 | https://datasets.cellxgene.cziscience.com/85f715ae-5c01-47d8-a099-440424cb1316.h5ad | 85f715ae-5c01-47d8-a099-440424cb1316 | /mnt/scratch/spatial_soma/source_h5ad/85f715ae-5c01-47d8-a099-440424cb1316.h5ad | Spatial transcriptomics in mouse: Puck_200131_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/85f715ae-5c01-47d8-a099-440424cb1316.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17543200 | 11031 | 584.3427613090381 | 5.2.0 | 0 | -1 | |
| eb602a88-fff3-488f-995d-3b0d967593b3 | https://datasets.cellxgene.cziscience.com/5b9192df-87cc-4378-a7ac-705a1608b815.h5ad | 5b9192df-87cc-4378-a7ac-705a1608b815 | /mnt/scratch/spatial_soma/source_h5ad/5b9192df-87cc-4378-a7ac-705a1608b815.h5ad | Spatial transcriptomics in mouse: Puck_200127_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/5b9192df-87cc-4378-a7ac-705a1608b815.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 14893913 | 21894 | 230.4687128893761 | 5.2.0 | 0 | -1 | |
| e6e6aec8-c3e4-4e66-8301-e9325528f683 | https://datasets.cellxgene.cziscience.com/ee28e226-e9bc-4fdc-8bc7-bd0bccf46828.h5ad | ee28e226-e9bc-4fdc-8bc7-bd0bccf46828 | /mnt/scratch/spatial_soma/source_h5ad/ee28e226-e9bc-4fdc-8bc7-bd0bccf46828.h5ad | Spatial transcriptomics in mouse: Puck_191223_19 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ee28e226-e9bc-4fdc-8bc7-bd0bccf46828.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24597653 | 36299 | 242.77481473318824 | 5.2.0 | 0 | -1 | |
| df4c4fdc-756a-4147-a6a0-9c101f62eced | https://datasets.cellxgene.cziscience.com/613a95a5-f8ef-4df4-8ad2-b3eef7e35597.h5ad | 613a95a5-f8ef-4df4-8ad2-b3eef7e35597 | /mnt/scratch/spatial_soma/source_h5ad/613a95a5-f8ef-4df4-8ad2-b3eef7e35597.h5ad | Spatial transcriptomics in mouse: Puck_200127_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/613a95a5-f8ef-4df4-8ad2-b3eef7e35597.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16526144 | 20320 | 288.4047244094488 | 5.2.0 | 0 | -1 | |
| dee80608-7232-4fd2-8617-dda43bdf6b13 | https://datasets.cellxgene.cziscience.com/307f14e6-ca77-4e40-8e69-15ae230e1da3.h5ad | 307f14e6-ca77-4e40-8e69-15ae230e1da3 | /mnt/scratch/spatial_soma/source_h5ad/307f14e6-ca77-4e40-8e69-15ae230e1da3.h5ad | Spatial transcriptomics in mouse: Puck_191223_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/307f14e6-ca77-4e40-8e69-15ae230e1da3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24029245 | 25281 | 355.85400102844034 | 5.2.0 | 0 | -1 | |
| d4f003d4-1e87-4301-84e6-8e01a69aa426 | https://datasets.cellxgene.cziscience.com/a7274acf-9e2b-4211-beb3-70727453bb31.h5ad | a7274acf-9e2b-4211-beb3-70727453bb31 | /mnt/scratch/spatial_soma/source_h5ad/a7274acf-9e2b-4211-beb3-70727453bb31.h5ad | Spatial transcriptomics in mouse: Puck_200104_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a7274acf-9e2b-4211-beb3-70727453bb31.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 15122949 | 27429 | 180.13033650515877 | 5.2.0 | 0 | -1 | |
| d18c575e-c435-43f5-b99b-b6936341c83d | https://datasets.cellxgene.cziscience.com/31bcd1a2-a9fe-436c-b631-c536e9a9d242.h5ad | 31bcd1a2-a9fe-436c-b631-c536e9a9d242 | /mnt/scratch/spatial_soma/source_h5ad/31bcd1a2-a9fe-436c-b631-c536e9a9d242.h5ad | Spatial transcriptomics in mouse: Puck_191223_22 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/31bcd1a2-a9fe-436c-b631-c536e9a9d242.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23811282 | 20689 | 431.6819565952922 | 5.2.0 | 0 | -1 | |
| ce19be17-f066-452f-922e-b1f232ce8af5 | https://datasets.cellxgene.cziscience.com/8369a5ce-8199-4517-8a43-df21bb543413.h5ad | 8369a5ce-8199-4517-8a43-df21bb543413 | /mnt/scratch/spatial_soma/source_h5ad/8369a5ce-8199-4517-8a43-df21bb543413.h5ad | Spatial transcriptomics in mouse: Puck_191109_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/8369a5ce-8199-4517-8a43-df21bb543413.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 7181185 | 15592 | 118.8737814263725 | 5.2.0 | 0 | -1 | |
| cd3c693e-64e1-4009-a941-ba3f340c7434 | https://datasets.cellxgene.cziscience.com/14e2bc8a-323f-4c3a-b711-a5308f5d3520.h5ad | 14e2bc8a-323f-4c3a-b711-a5308f5d3520 | /mnt/scratch/spatial_soma/source_h5ad/14e2bc8a-323f-4c3a-b711-a5308f5d3520.h5ad | Spatial transcriptomics in mouse: Puck_191204_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/14e2bc8a-323f-4c3a-b711-a5308f5d3520.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23842994 | 34844 | 240.1686947537596 | 5.2.0 | 0 | -1 | |
| c9466ba3-2b92-4fb5-9972-33e3940ff9b0 | https://datasets.cellxgene.cziscience.com/76fdd5d7-ad4c-480e-935e-095712ab859b.h5ad | 76fdd5d7-ad4c-480e-935e-095712ab859b | /mnt/scratch/spatial_soma/source_h5ad/76fdd5d7-ad4c-480e-935e-095712ab859b.h5ad | Spatial transcriptomics in mouse: Puck_191223_24 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/76fdd5d7-ad4c-480e-935e-095712ab859b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24393929 | 29434 | 302.841985458993 | 5.2.0 | 0 | -1 | |
| c8fef58f-e669-43e8-b9dc-adc09ccad583 | https://datasets.cellxgene.cziscience.com/33c08373-98f0-4615-be07-7d3af535e6e2.h5ad | 33c08373-98f0-4615-be07-7d3af535e6e2 | /mnt/scratch/spatial_soma/source_h5ad/33c08373-98f0-4615-be07-7d3af535e6e2.h5ad | Spatial transcriptomics in mouse: Puck_191204_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/33c08373-98f0-4615-be07-7d3af535e6e2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16404796 | 26750 | 203.53697196261683 | 5.2.0 | 0 | -1 | |
| c5ac9bb9-9597-4c0e-a985-1c3947288785 | https://datasets.cellxgene.cziscience.com/eabd8ee3-be20-4ab0-8b34-50563b5ec879.h5ad | eabd8ee3-be20-4ab0-8b34-50563b5ec879 | /mnt/scratch/spatial_soma/source_h5ad/eabd8ee3-be20-4ab0-8b34-50563b5ec879.h5ad | Spatial transcriptomics in mouse: Puck_191112_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/eabd8ee3-be20-4ab0-8b34-50563b5ec879.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 7808302 | 21181 | 90.36830177989708 | 5.2.0 | 0 | -1 | |
| c44e22ae-b746-4c09-9826-ca0650e828d4 | https://datasets.cellxgene.cziscience.com/dc0c7c46-7f06-4d96-aebb-26d38ad8f57a.h5ad | dc0c7c46-7f06-4d96-aebb-26d38ad8f57a | /mnt/scratch/spatial_soma/source_h5ad/dc0c7c46-7f06-4d96-aebb-26d38ad8f57a.h5ad | Spatial transcriptomics in mouse: Puck_200127_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dc0c7c46-7f06-4d96-aebb-26d38ad8f57a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 13133049 | 12132 | 383.83308605341244 | 5.2.0 | 0 | -1 | |
| ba79b444-a9e4-4323-8474-421dcfb0d905 | https://datasets.cellxgene.cziscience.com/2e71e4bb-1335-46f8-8a81-2f48ba109b58.h5ad | 2e71e4bb-1335-46f8-8a81-2f48ba109b58 | /mnt/scratch/spatial_soma/source_h5ad/2e71e4bb-1335-46f8-8a81-2f48ba109b58.h5ad | Spatial transcriptomics in mouse: Puck_191109_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/2e71e4bb-1335-46f8-8a81-2f48ba109b58.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 14461896 | 24438 | 191.059292904493 | 5.2.0 | 0 | -1 | |
| b8bd5567-276b-4ddf-a615-6b25ac208910 | https://datasets.cellxgene.cziscience.com/cb43b3ce-7fe9-4074-b313-6b6b288fc3e5.h5ad | cb43b3ce-7fe9-4074-b313-6b6b288fc3e5 | /mnt/scratch/spatial_soma/source_h5ad/cb43b3ce-7fe9-4074-b313-6b6b288fc3e5.h5ad | Spatial transcriptomics in mouse: Puck_191223_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/cb43b3ce-7fe9-4074-b313-6b6b288fc3e5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24308941 | 34355 | 254.40832484354533 | 5.2.0 | 0 | -1 | |
| b24705ee-87c0-45f2-adfb-2819fdc16225 | https://datasets.cellxgene.cziscience.com/5acbe8e6-cc23-49a0-b74e-ac1d6921e295.h5ad | 5acbe8e6-cc23-49a0-b74e-ac1d6921e295 | /mnt/scratch/spatial_soma/source_h5ad/5acbe8e6-cc23-49a0-b74e-ac1d6921e295.h5ad | Spatial transcriptomics in mouse: Puck_200104_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/5acbe8e6-cc23-49a0-b74e-ac1d6921e295.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 9388598 | 25817 | 98.44815431692295 | 5.2.0 | 0 | -1 | |
| b18c3fe3-ac84-4728-8a3d-cff8eafaf9d1 | https://datasets.cellxgene.cziscience.com/79060da4-0799-4e35-aa51-ec4964036dd7.h5ad | 79060da4-0799-4e35-aa51-ec4964036dd7 | /mnt/scratch/spatial_soma/source_h5ad/79060da4-0799-4e35-aa51-ec4964036dd7.h5ad | Spatial transcriptomics in mouse: Puck_191204_16 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/79060da4-0799-4e35-aa51-ec4964036dd7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22048929 | 35896 | 211.88536327167373 | 5.2.0 | 0 | -1 | |
| b17a491e-0157-462e-b611-fdcde893d05d | https://datasets.cellxgene.cziscience.com/a7eb3123-3b28-427b-af63-ee721eea7943.h5ad | a7eb3123-3b28-427b-af63-ee721eea7943 | /mnt/scratch/spatial_soma/source_h5ad/a7eb3123-3b28-427b-af63-ee721eea7943.h5ad | Spatial transcriptomics in mouse: Puck_191223_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a7eb3123-3b28-427b-af63-ee721eea7943.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18145141 | 21814 | 292.9943155771523 | 5.2.0 | 0 | -1 | |
| b020294c-ab82-4547-b5a7-63d8ffa575ed | https://datasets.cellxgene.cziscience.com/abe4fce1-0859-4a56-ad1e-734d79f0e6c8.h5ad | abe4fce1-0859-4a56-ad1e-734d79f0e6c8 | /mnt/scratch/spatial_soma/source_h5ad/abe4fce1-0859-4a56-ad1e-734d79f0e6c8.h5ad | Spatial transcriptomics in mouse: Puck_191112_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/abe4fce1-0859-4a56-ad1e-734d79f0e6c8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 4620257 | 15161 | 52.500494690323855 | 5.2.0 | 0 | -1 | |
| aefbcb9c-7956-4317-998f-f19c5459d79b | https://datasets.cellxgene.cziscience.com/4f933e34-2643-4afd-bb6d-b45de8ddc300.h5ad | 4f933e34-2643-4afd-bb6d-b45de8ddc300 | /mnt/scratch/spatial_soma/source_h5ad/4f933e34-2643-4afd-bb6d-b45de8ddc300.h5ad | Spatial transcriptomics in mouse: Puck_191223_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/4f933e34-2643-4afd-bb6d-b45de8ddc300.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17866059 | 25957 | 236.9063836344724 | 5.2.0 | 0 | -1 | |
| add5eb84-5fc9-4f01-982e-a346dd42ee82 | https://datasets.cellxgene.cziscience.com/de54aed8-4f73-48f6-9229-418a840e2d82.h5ad | de54aed8-4f73-48f6-9229-418a840e2d82 | /mnt/scratch/spatial_soma/source_h5ad/de54aed8-4f73-48f6-9229-418a840e2d82.h5ad | Spatial transcriptomics in mouse: Puck_191109_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/de54aed8-4f73-48f6-9229-418a840e2d82.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 4370223 | 12906 | 58.11475282814195 | 5.2.0 | 0 | -1 | |
| acbdb82c-b62b-422a-a0e4-0ab93d0c4e52 | https://datasets.cellxgene.cziscience.com/545947e5-cb19-4049-8443-9389809d4287.h5ad | 545947e5-cb19-4049-8443-9389809d4287 | /mnt/scratch/spatial_soma/source_h5ad/545947e5-cb19-4049-8443-9389809d4287.h5ad | Spatial transcriptomics in mouse: Puck_191204_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/545947e5-cb19-4049-8443-9389809d4287.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16321989 | 29914 | 175.76689844220098 | 5.2.0 | 0 | -1 | |
| a8a58bc5-8c4c-46fa-b54e-35b64dba658d | https://datasets.cellxgene.cziscience.com/9b115e7f-a714-44b9-b5b2-c82c4eea32d2.h5ad | 9b115e7f-a714-44b9-b5b2-c82c4eea32d2 | /mnt/scratch/spatial_soma/source_h5ad/9b115e7f-a714-44b9-b5b2-c82c4eea32d2.h5ad | Spatial transcriptomics in mouse: Puck_191204_15 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9b115e7f-a714-44b9-b5b2-c82c4eea32d2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22984589 | 35132 | 229.57064784242286 | 5.2.0 | 0 | -1 | |
| a5f715e1-336c-4703-870d-25f5c6d9df53 | https://datasets.cellxgene.cziscience.com/bd77e4df-50c9-47d4-bba8-332ad89dce49.h5ad | bd77e4df-50c9-47d4-bba8-332ad89dce49 | /mnt/scratch/spatial_soma/source_h5ad/bd77e4df-50c9-47d4-bba8-332ad89dce49.h5ad | Spatial transcriptomics in mouse: Puck_191223_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/bd77e4df-50c9-47d4-bba8-332ad89dce49.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18726174 | 26554 | 245.72320554342096 | 5.2.0 | 0 | -1 | |
| a5939d1c-3f1d-4931-abf2-735d82fda26c | https://datasets.cellxgene.cziscience.com/61ac465c-4bda-4041-92f5-4bb1a6284fee.h5ad | 61ac465c-4bda-4041-92f5-4bb1a6284fee | /mnt/scratch/spatial_soma/source_h5ad/61ac465c-4bda-4041-92f5-4bb1a6284fee.h5ad | Spatial transcriptomics in mouse: Puck_200104_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/61ac465c-4bda-4041-92f5-4bb1a6284fee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 20676259 | 27044 | 272.815892619435 | 5.2.0 | 0 | -1 | |
| a3db64f7-658b-414d-9374-d7b640704a6d | https://datasets.cellxgene.cziscience.com/fd2c1b89-3ad4-46ca-b887-c64128870e69.h5ad | fd2c1b89-3ad4-46ca-b887-c64128870e69 | /mnt/scratch/spatial_soma/source_h5ad/fd2c1b89-3ad4-46ca-b887-c64128870e69.h5ad | Spatial transcriptomics in mouse: Puck_191223_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/fd2c1b89-3ad4-46ca-b887-c64128870e69.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23146825 | 34093 | 241.80283342621652 | 5.2.0 | 0 | -1 | |
| a21a47fe-1516-47d0-aeca-fd90d729fa4a | https://datasets.cellxgene.cziscience.com/9019b24b-d6ed-4923-a7fe-b40445f853b2.h5ad | 9019b24b-d6ed-4923-a7fe-b40445f853b2 | /mnt/scratch/spatial_soma/source_h5ad/9019b24b-d6ed-4923-a7fe-b40445f853b2.h5ad | Spatial transcriptomics in mouse: Puck_200131_23 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9019b24b-d6ed-4923-a7fe-b40445f853b2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 12561781 | 12533 | 346.6164525652278 | 5.2.0 | 0 | -1 | |
| 9a32e8f2-a570-4eef-ae25-a3919f98049b | https://datasets.cellxgene.cziscience.com/714e58c6-416f-4817-a1cb-b77575ec12ec.h5ad | 714e58c6-416f-4817-a1cb-b77575ec12ec | /mnt/scratch/spatial_soma/source_h5ad/714e58c6-416f-4817-a1cb-b77575ec12ec.h5ad | Spatial transcriptomics in mouse: Puck_191204_23 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/714e58c6-416f-4817-a1cb-b77575ec12ec.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 20293315 | 37742 | 177.73358592549414 | 5.2.0 | 0 | -1 | |
| 9246671b-f814-4252-8f1a-57f4f5e28f81 | https://datasets.cellxgene.cziscience.com/e0256600-a917-4ec7-abb9-34131f1e1e71.h5ad | e0256600-a917-4ec7-abb9-34131f1e1e71 | /mnt/scratch/spatial_soma/source_h5ad/e0256600-a917-4ec7-abb9-34131f1e1e71.h5ad | Spatial transcriptomics in mouse: Puck_200210_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/e0256600-a917-4ec7-abb9-34131f1e1e71.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11835142 | 20424 | 184.5569428123776 | 5.2.0 | 0 | -1 | |
| 9098fb44-ac81-4ac6-be8e-464f10ec7128 | https://datasets.cellxgene.cziscience.com/67855e83-c9c1-4b9c-b6bb-d5cef75f212a.h5ad | 67855e83-c9c1-4b9c-b6bb-d5cef75f212a | /mnt/scratch/spatial_soma/source_h5ad/67855e83-c9c1-4b9c-b6bb-d5cef75f212a.h5ad | Spatial transcriptomics in mouse: Puck_191223_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/67855e83-c9c1-4b9c-b6bb-d5cef75f212a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11503500 | 14961 | 252.23080008020855 | 5.2.0 | 0 | -1 | |
| 9009cf69-bba5-4b18-9152-d15fedda8181 | https://datasets.cellxgene.cziscience.com/380b2304-2fbc-4b05-9687-2058e1d915f6.h5ad | 380b2304-2fbc-4b05-9687-2058e1d915f6 | /mnt/scratch/spatial_soma/source_h5ad/380b2304-2fbc-4b05-9687-2058e1d915f6.h5ad | Spatial transcriptomics in mouse: Puck_191223_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/380b2304-2fbc-4b05-9687-2058e1d915f6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23518376 | 30888 | 278.2100815850816 | 5.2.0 | 0 | -1 | |
| 89260b3d-752a-415c-9387-25e13ce102c7 | https://datasets.cellxgene.cziscience.com/02c1811c-1f0d-4fb0-90ae-482a51cb7c5a.h5ad | 02c1811c-1f0d-4fb0-90ae-482a51cb7c5a | /mnt/scratch/spatial_soma/source_h5ad/02c1811c-1f0d-4fb0-90ae-482a51cb7c5a.h5ad | Spatial transcriptomics in mouse: Puck_191204_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/02c1811c-1f0d-4fb0-90ae-482a51cb7c5a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23754230 | 26889 | 324.0904830971773 | 5.2.0 | 0 | -1 | |
| 8680267b-9cb3-4660-ac8d-a8ee0de700be | https://datasets.cellxgene.cziscience.com/228cbb3f-0c64-4297-a572-16c81bf23bc7.h5ad | 228cbb3f-0c64-4297-a572-16c81bf23bc7 | /mnt/scratch/spatial_soma/source_h5ad/228cbb3f-0c64-4297-a572-16c81bf23bc7.h5ad | Spatial transcriptomics in mouse: Puck_200104_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/228cbb3f-0c64-4297-a572-16c81bf23bc7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24585121 | 31194 | 285.1574982368404 | 5.2.0 | 0 | -1 | |
| 7c625d8b-f2e3-4b27-8a8f-1d61e58ceae7 | https://datasets.cellxgene.cziscience.com/ff9cfc74-24b7-4b37-afbc-a313c7f2e184.h5ad | ff9cfc74-24b7-4b37-afbc-a313c7f2e184 | /mnt/scratch/spatial_soma/source_h5ad/ff9cfc74-24b7-4b37-afbc-a313c7f2e184.h5ad | Spatial transcriptomics in mouse: Puck_191204_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ff9cfc74-24b7-4b37-afbc-a313c7f2e184.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 20092246 | 20886 | 348.792109547065 | 5.2.0 | 0 | -1 | |
| 7aca1b0a-ea94-4a32-b011-e7467a8a75ef | https://datasets.cellxgene.cziscience.com/58909599-edea-4dd7-908a-1de55cd0720f.h5ad | 58909599-edea-4dd7-908a-1de55cd0720f | /mnt/scratch/spatial_soma/source_h5ad/58909599-edea-4dd7-908a-1de55cd0720f.h5ad | Spatial transcriptomics in mouse: Puck_200131_21 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/58909599-edea-4dd7-908a-1de55cd0720f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 15218753 | 16818 | 317.8473659174694 | 5.2.0 | 0 | -1 | |
| 79a44f62-811f-4a2f-89c7-9db3512274c5 | https://datasets.cellxgene.cziscience.com/e6487271-cc40-4a7a-9779-175712138194.h5ad | e6487271-cc40-4a7a-9779-175712138194 | /mnt/scratch/spatial_soma/source_h5ad/e6487271-cc40-4a7a-9779-175712138194.h5ad | Spatial transcriptomics in mouse: Puck_191223_21 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/e6487271-cc40-4a7a-9779-175712138194.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24022364 | 23204 | 385.93591622134113 | 5.2.0 | 0 | -1 | |
| 78d59e4a-82eb-4a61-a1dc-da974d7ea54b | https://datasets.cellxgene.cziscience.com/7d7ec1b6-6e3f-4aaa-9442-4b22f3424396.h5ad | 7d7ec1b6-6e3f-4aaa-9442-4b22f3424396 | /mnt/scratch/spatial_soma/source_h5ad/7d7ec1b6-6e3f-4aaa-9442-4b22f3424396.h5ad | Spatial transcriptomics in mouse: Puck_191112_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7d7ec1b6-6e3f-4aaa-9442-4b22f3424396.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 4369068 | 10250 | 81.26497560975609 | 5.2.0 | 0 | -1 | |
| 75ad2833-81ac-4bc4-8dea-30bb2226acb1 | https://datasets.cellxgene.cziscience.com/215563f8-216a-4c5d-b9ed-7301f0fcc703.h5ad | 215563f8-216a-4c5d-b9ed-7301f0fcc703 | /mnt/scratch/spatial_soma/source_h5ad/215563f8-216a-4c5d-b9ed-7301f0fcc703.h5ad | Spatial transcriptomics in mouse: Puck_191223_23 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/215563f8-216a-4c5d-b9ed-7301f0fcc703.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23540061 | 25757 | 337.0982257250456 | 5.2.0 | 0 | -1 | |
| 7387a9b8-3d90-476e-92a9-04e87217ebc3 | https://datasets.cellxgene.cziscience.com/923d4274-b4c1-49e8-81f3-b4c23c11ee66.h5ad | 923d4274-b4c1-49e8-81f3-b4c23c11ee66 | /mnt/scratch/spatial_soma/source_h5ad/923d4274-b4c1-49e8-81f3-b4c23c11ee66.h5ad | Spatial transcriptomics in mouse: Puck_191204_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/923d4274-b4c1-49e8-81f3-b4c23c11ee66.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22258568 | 29986 | 264.6673447608884 | 5.2.0 | 0 | -1 | |
| 72ed5f5b-e685-474d-b436-3bcc8c597e8e | https://datasets.cellxgene.cziscience.com/5ea87310-c584-4c7d-b2ba-44f31c2e7ea8.h5ad | 5ea87310-c584-4c7d-b2ba-44f31c2e7ea8 | /mnt/scratch/spatial_soma/source_h5ad/5ea87310-c584-4c7d-b2ba-44f31c2e7ea8.h5ad | Spatial transcriptomics in mouse: Puck_191112_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/5ea87310-c584-4c7d-b2ba-44f31c2e7ea8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 8777600 | 13822 | 185.71306612646507 | 5.2.0 | 0 | -1 | |
| 70fa6bd9-cc35-4779-9a05-fa8918c0ff8b | https://datasets.cellxgene.cziscience.com/120b612b-a9ac-4c70-a07e-05c5f054544f.h5ad | 120b612b-a9ac-4c70-a07e-05c5f054544f | /mnt/scratch/spatial_soma/source_h5ad/120b612b-a9ac-4c70-a07e-05c5f054544f.h5ad | Spatial transcriptomics in mouse: Puck_191109_19 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/120b612b-a9ac-4c70-a07e-05c5f054544f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 6641144 | 22659 | 60.02122776821572 | 5.2.0 | 0 | -1 | |
| 707acde8-4e99-4e31-8da9-782ded87d136 | https://datasets.cellxgene.cziscience.com/6fc5cbd5-ad26-4518-a19f-843f37fcb893.h5ad | 6fc5cbd5-ad26-4518-a19f-843f37fcb893 | /mnt/scratch/spatial_soma/source_h5ad/6fc5cbd5-ad26-4518-a19f-843f37fcb893.h5ad | Spatial transcriptomics in mouse: Puck_191204_24 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/6fc5cbd5-ad26-4518-a19f-843f37fcb893.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11696083 | 27220 | 124.83243938280675 | 5.2.0 | 0 | -1 | |
| 6c0b6bbf-faf4-4612-8823-a0908d31dbc9 | https://datasets.cellxgene.cziscience.com/dfc7570a-5079-4104-963e-998f6d2fc77f.h5ad | dfc7570a-5079-4104-963e-998f6d2fc77f | /mnt/scratch/spatial_soma/source_h5ad/dfc7570a-5079-4104-963e-998f6d2fc77f.h5ad | Spatial transcriptomics in mouse: Puck_191223_11 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dfc7570a-5079-4104-963e-998f6d2fc77f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 19334840 | 27173 | 249.33459684245392 | 5.2.0 | 0 | -1 | |
| 6bbfca2f-b2fb-4285-98d2-19fa9b9f6692 | https://datasets.cellxgene.cziscience.com/76fd90fd-1e5e-43d1-b396-8349ab462922.h5ad | 76fd90fd-1e5e-43d1-b396-8349ab462922 | /mnt/scratch/spatial_soma/source_h5ad/76fd90fd-1e5e-43d1-b396-8349ab462922.h5ad | Spatial transcriptomics in mouse: Puck_200210_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/76fd90fd-1e5e-43d1-b396-8349ab462922.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18827349 | 28577 | 229.41400426916752 | 5.2.0 | 0 | -1 | |
| 68bcbb10-cc0d-435b-ba76-ab03c040967b | https://datasets.cellxgene.cziscience.com/7aa01b94-92aa-42fd-8a47-b73d0c8e2c60.h5ad | 7aa01b94-92aa-42fd-8a47-b73d0c8e2c60 | /mnt/scratch/spatial_soma/source_h5ad/7aa01b94-92aa-42fd-8a47-b73d0c8e2c60.h5ad | Spatial transcriptomics in mouse: Puck_200131_22 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7aa01b94-92aa-42fd-8a47-b73d0c8e2c60.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 13097695 | 12541 | 362.51949605294635 | 5.2.0 | 0 | -1 | |
| 686e1a03-54e6-44ec-b9f5-98e3bd75560e | https://datasets.cellxgene.cziscience.com/563baeba-7936-4600-b61c-c003f89c8bdb.h5ad | 563baeba-7936-4600-b61c-c003f89c8bdb | /mnt/scratch/spatial_soma/source_h5ad/563baeba-7936-4600-b61c-c003f89c8bdb.h5ad | Spatial transcriptomics in mouse: Puck_200127_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/563baeba-7936-4600-b61c-c003f89c8bdb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 14800961 | 14666 | 361.63739260875496 | 5.2.0 | 0 | -1 | |
| 60d25f3a-092a-4ea3-8e16-bd49c2846bbc | https://datasets.cellxgene.cziscience.com/b4b53c13-7641-4579-a9b4-47ce4dc31f9c.h5ad | b4b53c13-7641-4579-a9b4-47ce4dc31f9c | /mnt/scratch/spatial_soma/source_h5ad/b4b53c13-7641-4579-a9b4-47ce4dc31f9c.h5ad | Spatial transcriptomics in mouse: Puck_200210_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/b4b53c13-7641-4579-a9b4-47ce4dc31f9c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23437236 | 11005 | 831.9651976374375 | 5.2.0 | 0 | -1 | |
| 607e7a20-f623-4150-93d5-b7ebc0af6fbf | https://datasets.cellxgene.cziscience.com/ebb6e3d0-f90d-4ccd-a9c4-8f3b796617c5.h5ad | ebb6e3d0-f90d-4ccd-a9c4-8f3b796617c5 | /mnt/scratch/spatial_soma/source_h5ad/ebb6e3d0-f90d-4ccd-a9c4-8f3b796617c5.h5ad | Spatial transcriptomics in mouse: Puck_200131_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ebb6e3d0-f90d-4ccd-a9c4-8f3b796617c5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16317786 | 18162 | 319.4762140733399 | 5.2.0 | 0 | -1 | |
| 5e73d977-8e54-4406-a5f0-711bf0d3c228 | https://datasets.cellxgene.cziscience.com/24218d17-2680-4214-9c92-b9bb370dbbbd.h5ad | 24218d17-2680-4214-9c92-b9bb370dbbbd | /mnt/scratch/spatial_soma/source_h5ad/24218d17-2680-4214-9c92-b9bb370dbbbd.h5ad | Spatial transcriptomics in mouse: Puck_191204_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/24218d17-2680-4214-9c92-b9bb370dbbbd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 10377624 | 17138 | 182.78924028474734 | 5.2.0 | 0 | -1 | |
| 5767c838-0d36-44bb-b025-a4dfe5cdd908 | https://datasets.cellxgene.cziscience.com/e47ca92d-75eb-4043-adc2-3ed0537370b7.h5ad | e47ca92d-75eb-4043-adc2-3ed0537370b7 | /mnt/scratch/spatial_soma/source_h5ad/e47ca92d-75eb-4043-adc2-3ed0537370b7.h5ad | Spatial transcriptomics in mouse: Puck_200102_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/e47ca92d-75eb-4043-adc2-3ed0537370b7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 29360507 | 27479 | 406.3908803085993 | 5.2.0 | 0 | -1 | |
| 5595e151-5cdf-4ea6-a089-1610c60613dc | https://datasets.cellxgene.cziscience.com/4fe53a18-0fc1-4206-93d3-6649cd252c8b.h5ad | 4fe53a18-0fc1-4206-93d3-6649cd252c8b | /mnt/scratch/spatial_soma/source_h5ad/4fe53a18-0fc1-4206-93d3-6649cd252c8b.h5ad | Spatial transcriptomics in mouse: Puck_191206_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/4fe53a18-0fc1-4206-93d3-6649cd252c8b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 19839703 | 32900 | 203.46337386018237 | 5.2.0 | 0 | -1 | |
| 530c9bff-c552-45b9-be77-0de605e6858b | https://datasets.cellxgene.cziscience.com/d5e8239f-a6a3-475a-b60d-d6991ad9a108.h5ad | d5e8239f-a6a3-475a-b60d-d6991ad9a108 | /mnt/scratch/spatial_soma/source_h5ad/d5e8239f-a6a3-475a-b60d-d6991ad9a108.h5ad | Spatial transcriptomics in mouse: Puck_191109_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/d5e8239f-a6a3-475a-b60d-d6991ad9a108.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 5580604 | 12351 | 101.33819123957575 | 5.2.0 | 0 | -1 | |
| 526a2472-0913-4f36-92f1-72f58ddf9524 | https://datasets.cellxgene.cziscience.com/ba3e3678-a0bf-42c2-b1e5-f259bf47f56e.h5ad | ba3e3678-a0bf-42c2-b1e5-f259bf47f56e | /mnt/scratch/spatial_soma/source_h5ad/ba3e3678-a0bf-42c2-b1e5-f259bf47f56e.h5ad | Spatial transcriptomics in mouse: Puck_191204_22 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ba3e3678-a0bf-42c2-b1e5-f259bf47f56e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23857223 | 31600 | 272.59474683544306 | 5.2.0 | 0 | -1 | |
| 5132612b-bbca-478d-bfc0-47bd70102372 | https://datasets.cellxgene.cziscience.com/0c3c6cfc-aaea-49ac-baf8-04f328a8650a.h5ad | 0c3c6cfc-aaea-49ac-baf8-04f328a8650a | /mnt/scratch/spatial_soma/source_h5ad/0c3c6cfc-aaea-49ac-baf8-04f328a8650a.h5ad | Spatial transcriptomics in mouse: Puck_200104_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/0c3c6cfc-aaea-49ac-baf8-04f328a8650a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22406803 | 33006 | 242.34996667272617 | 5.2.0 | 0 | -1 | |
| 4f420bc4-b9cd-4e14-a1d2-51d76f776374 | https://datasets.cellxgene.cziscience.com/a6301779-e74f-4aa3-8828-43356b83e356.h5ad | a6301779-e74f-4aa3-8828-43356b83e356 | /mnt/scratch/spatial_soma/source_h5ad/a6301779-e74f-4aa3-8828-43356b83e356.h5ad | Spatial transcriptomics in mouse: Puck_200127_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a6301779-e74f-4aa3-8828-43356b83e356.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18870595 | 19886 | 345.0703007140702 | 5.2.0 | 0 | -1 | |
| 4eb29386-de81-452f-b3c0-e00844e8c7fd | https://datasets.cellxgene.cziscience.com/f76861bb-becb-4eb7-82fc-782dc96ccc7f.h5ad | f76861bb-becb-4eb7-82fc-782dc96ccc7f | /mnt/scratch/spatial_soma/source_h5ad/f76861bb-becb-4eb7-82fc-782dc96ccc7f.h5ad | Spatial transcriptomics in mouse: Puck_191112_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/f76861bb-becb-4eb7-82fc-782dc96ccc7f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 4340335 | 10888 | 70.06603600293901 | 5.2.0 | 0 | -1 | |
| 4ea886a2-077b-43c7-9f49-b82c81351798 | https://datasets.cellxgene.cziscience.com/428318eb-54db-4e21-9d88-59c7cc127fe0.h5ad | 428318eb-54db-4e21-9d88-59c7cc127fe0 | /mnt/scratch/spatial_soma/source_h5ad/428318eb-54db-4e21-9d88-59c7cc127fe0.h5ad | Spatial transcriptomics in mouse: Puck_191223_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/428318eb-54db-4e21-9d88-59c7cc127fe0.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22463327 | 18568 | 456.9186772942697 | 5.2.0 | 0 | -1 | |
| 4dbc3399-8272-43c4-b6fd-9d7c983e62bb | https://datasets.cellxgene.cziscience.com/727a019e-a35b-4135-ab1b-7675e3aa3f49.h5ad | 727a019e-a35b-4135-ab1b-7675e3aa3f49 | /mnt/scratch/spatial_soma/source_h5ad/727a019e-a35b-4135-ab1b-7675e3aa3f49.h5ad | Spatial transcriptomics in mouse: Puck_191223_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/727a019e-a35b-4135-ab1b-7675e3aa3f49.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16101922 | 20055 | 285.1116928446771 | 5.2.0 | 0 | -1 | |
| 4502562d-24da-4a95-a873-bdbf6834209c | https://datasets.cellxgene.cziscience.com/4d6e57d7-e4fa-41ac-8daf-23a6847bc968.h5ad | 4d6e57d7-e4fa-41ac-8daf-23a6847bc968 | /mnt/scratch/spatial_soma/source_h5ad/4d6e57d7-e4fa-41ac-8daf-23a6847bc968.h5ad | Spatial transcriptomics in mouse: Puck_191223_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/4d6e57d7-e4fa-41ac-8daf-23a6847bc968.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16040103 | 14558 | 394.2951641709026 | 5.2.0 | 0 | -1 | |
| 43b460b5-9863-414e-88ea-50bc1f5b60e0 | https://datasets.cellxgene.cziscience.com/7156de45-f7b1-43e4-954f-08b84b8b5aad.h5ad | 7156de45-f7b1-43e4-954f-08b84b8b5aad | /mnt/scratch/spatial_soma/source_h5ad/7156de45-f7b1-43e4-954f-08b84b8b5aad.h5ad | Spatial transcriptomics in mouse: Puck_191204_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7156de45-f7b1-43e4-954f-08b84b8b5aad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 21733601 | 26260 | 295.61092916984006 | 5.2.0 | 0 | -1 | |
| 3ddfa0d8-ae3d-4970-9660-aa8dfbb98b63 | https://datasets.cellxgene.cziscience.com/242c863d-f80a-4584-b4e0-fe9d0b3b6a1e.h5ad | 242c863d-f80a-4584-b4e0-fe9d0b3b6a1e | /mnt/scratch/spatial_soma/source_h5ad/242c863d-f80a-4584-b4e0-fe9d0b3b6a1e.h5ad | Spatial transcriptomics in mouse: Puck_191206_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/242c863d-f80a-4584-b4e0-fe9d0b3b6a1e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 19280739 | 31954 | 204.52143706578207 | 5.2.0 | 0 | -1 | |
| 3554fad4-0967-4ee0-b6e9-24f0204cbe85 | https://datasets.cellxgene.cziscience.com/6cd731e2-fcca-4b3e-9f87-3fd02ae25582.h5ad | 6cd731e2-fcca-4b3e-9f87-3fd02ae25582 | /mnt/scratch/spatial_soma/source_h5ad/6cd731e2-fcca-4b3e-9f87-3fd02ae25582.h5ad | Spatial transcriptomics in mouse: Puck_200104_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/6cd731e2-fcca-4b3e-9f87-3fd02ae25582.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 27212959 | 26270 | 391.95858393604874 | 5.2.0 | 0 | -1 | |
| 34cd019c-c79d-4f4f-8f95-8934062dc132 | https://datasets.cellxgene.cziscience.com/1b667779-e452-45f7-87a1-a8a5ad19bab2.h5ad | 1b667779-e452-45f7-87a1-a8a5ad19bab2 | /mnt/scratch/spatial_soma/source_h5ad/1b667779-e452-45f7-87a1-a8a5ad19bab2.h5ad | Spatial transcriptomics in mouse: Puck_191206_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/1b667779-e452-45f7-87a1-a8a5ad19bab2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11932553 | 18542 | 205.41710710818683 | 5.2.0 | 0 | -1 | |
| 34893c3b-1776-4a4c-9ea0-9f86ad168ae4 | https://datasets.cellxgene.cziscience.com/84c11aae-6b53-44bc-830b-53365bcd9d93.h5ad | 84c11aae-6b53-44bc-830b-53365bcd9d93 | /mnt/scratch/spatial_soma/source_h5ad/84c11aae-6b53-44bc-830b-53365bcd9d93.h5ad | Spatial transcriptomics in mouse: Puck_191112_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/84c11aae-6b53-44bc-830b-53365bcd9d93.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 13979603 | 20568 | 221.28408206923376 | 5.2.0 | 0 | -1 | |
| 3483835a-fdd2-4589-8de3-530e2a13ad14 | https://datasets.cellxgene.cziscience.com/87e44ad8-b2da-4478-8e80-56bd3b4058e6.h5ad | 87e44ad8-b2da-4478-8e80-56bd3b4058e6 | /mnt/scratch/spatial_soma/source_h5ad/87e44ad8-b2da-4478-8e80-56bd3b4058e6.h5ad | Spatial transcriptomics in mouse: Puck_191204_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/87e44ad8-b2da-4478-8e80-56bd3b4058e6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 7085981 | 27814 | 48.91065650391889 | 5.2.0 | 0 | -1 | |
| 3175b4f9-c2dd-43a4-972d-8c672e0a3d24 | https://datasets.cellxgene.cziscience.com/ce3dfc5a-9b50-4ab7-917f-5733a2697a0a.h5ad | ce3dfc5a-9b50-4ab7-917f-5733a2697a0a | /mnt/scratch/spatial_soma/source_h5ad/ce3dfc5a-9b50-4ab7-917f-5733a2697a0a.h5ad | Spatial transcriptomics in mouse: Puck_191223_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ce3dfc5a-9b50-4ab7-917f-5733a2697a0a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 15073406 | 19471 | 264.8844435314057 | 5.2.0 | 0 | -1 | |
| 2fb24a91-55b9-4cc4-9a11-d46c373d53c1 | https://datasets.cellxgene.cziscience.com/0effbd1e-4397-407f-8ab7-7c087828e307.h5ad | 0effbd1e-4397-407f-8ab7-7c087828e307 | /mnt/scratch/spatial_soma/source_h5ad/0effbd1e-4397-407f-8ab7-7c087828e307.h5ad | Spatial transcriptomics in mouse: Puck_191109_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/0effbd1e-4397-407f-8ab7-7c087828e307.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 9941403 | 30182 | 83.8473593532569 | 5.2.0 | 0 | -1 | |
| 2e14e403-84fd-4326-ad6b-98523040c3d6 | https://datasets.cellxgene.cziscience.com/c25fff49-72e4-4a96-9b29-08263bcd76ca.h5ad | c25fff49-72e4-4a96-9b29-08263bcd76ca | /mnt/scratch/spatial_soma/source_h5ad/c25fff49-72e4-4a96-9b29-08263bcd76ca.h5ad | Spatial transcriptomics in mouse: Puck_191204_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/c25fff49-72e4-4a96-9b29-08263bcd76ca.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 21646335 | 32706 | 228.77163211643125 | 5.2.0 | 0 | -1 | |
| 29aab068-9922-4b87-a35b-dd3bb4822d4e | https://datasets.cellxgene.cziscience.com/34e51e1f-cbd7-4eea-b21a-b1778d0e11c4.h5ad | 34e51e1f-cbd7-4eea-b21a-b1778d0e11c4 | /mnt/scratch/spatial_soma/source_h5ad/34e51e1f-cbd7-4eea-b21a-b1778d0e11c4.h5ad | Spatial transcriptomics in mouse: Puck_200104_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/34e51e1f-cbd7-4eea-b21a-b1778d0e11c4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 26464711 | 30206 | 322.69787459445143 | 5.2.0 | 0 | -1 | |
| 286fead0-7be7-46db-b358-7abc6d39adf7 | https://datasets.cellxgene.cziscience.com/f26c5734-29c4-4e55-93c3-deb3bb68ca51.h5ad | f26c5734-29c4-4e55-93c3-deb3bb68ca51 | /mnt/scratch/spatial_soma/source_h5ad/f26c5734-29c4-4e55-93c3-deb3bb68ca51.h5ad | Spatial transcriptomics in mouse: Puck_191109_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/f26c5734-29c4-4e55-93c3-deb3bb68ca51.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 12607376 | 29011 | 126.94171176450313 | 5.2.0 | 0 | -1 | |
| 230eeeee-5640-49ef-99a2-9d2fd001ea06 | https://datasets.cellxgene.cziscience.com/78b29a5e-f8f6-412c-89dd-cd5dddba5bb2.h5ad | 78b29a5e-f8f6-412c-89dd-cd5dddba5bb2 | /mnt/scratch/spatial_soma/source_h5ad/78b29a5e-f8f6-412c-89dd-cd5dddba5bb2.h5ad | Spatial transcriptomics in mouse: Puck_200210_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/78b29a5e-f8f6-412c-89dd-cd5dddba5bb2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22487993 | 22430 | 376.10249665626395 | 5.2.0 | 0 | -1 | |
| 2214c7a9-371f-4520-a2d0-88524b80b577 | https://datasets.cellxgene.cziscience.com/f95c2f01-0cd7-4eb0-a60b-a4ffe255e8fb.h5ad | f95c2f01-0cd7-4eb0-a60b-a4ffe255e8fb | /mnt/scratch/spatial_soma/source_h5ad/f95c2f01-0cd7-4eb0-a60b-a4ffe255e8fb.h5ad | Spatial transcriptomics in mouse: Puck_191204_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/f95c2f01-0cd7-4eb0-a60b-a4ffe255e8fb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22401593 | 27639 | 293.0968558920366 | 5.2.0 | 0 | -1 | |
| 1fed33a0-3c5f-47c0-9c5f-39435c6ffbd2 | https://datasets.cellxgene.cziscience.com/a97f2751-99d5-4bff-a2ca-99c3e28ba2f1.h5ad | a97f2751-99d5-4bff-a2ca-99c3e28ba2f1 | /mnt/scratch/spatial_soma/source_h5ad/a97f2751-99d5-4bff-a2ca-99c3e28ba2f1.h5ad | Spatial transcriptomics in mouse: Puck_200104_06 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a97f2751-99d5-4bff-a2ca-99c3e28ba2f1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 25125399 | 30942 | 298.39906922629433 | 5.2.0 | 0 | -1 | |
| 1c224f30-a9c4-48c6-951d-8d86c0a2886e | https://datasets.cellxgene.cziscience.com/80bcbbcc-7424-4c97-a796-34c528cb9041.h5ad | 80bcbbcc-7424-4c97-a796-34c528cb9041 | /mnt/scratch/spatial_soma/source_h5ad/80bcbbcc-7424-4c97-a796-34c528cb9041.h5ad | Spatial transcriptomics in mouse: Puck_191223_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/80bcbbcc-7424-4c97-a796-34c528cb9041.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 6998348 | 16787 | 107.98248644784655 | 5.2.0 | 0 | -1 | |
| 1831d86a-0cdb-4a41-b410-6687370a4620 | https://datasets.cellxgene.cziscience.com/d096e05c-6150-47a8-9aec-b89747b2925e.h5ad | d096e05c-6150-47a8-9aec-b89747b2925e | /mnt/scratch/spatial_soma/source_h5ad/d096e05c-6150-47a8-9aec-b89747b2925e.h5ad | Spatial transcriptomics in mouse: Puck_191223_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/d096e05c-6150-47a8-9aec-b89747b2925e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 14776471 | 22458 | 220.06229406002316 | 5.2.0 | 0 | -1 | |
| 10eed666-34e0-4b98-9384-179993873aa8 | https://datasets.cellxgene.cziscience.com/7a361462-363f-4dc9-8d84-1605fabc9691.h5ad | 7a361462-363f-4dc9-8d84-1605fabc9691 | /mnt/scratch/spatial_soma/source_h5ad/7a361462-363f-4dc9-8d84-1605fabc9691.h5ad | Spatial transcriptomics in mouse: Puck_200104_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7a361462-363f-4dc9-8d84-1605fabc9691.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11016679 | 16027 | 221.74992200661384 | 5.2.0 | 0 | -1 | |
| 1075c26e-5c47-43ba-902c-5b6cb864dd10 | https://datasets.cellxgene.cziscience.com/17f2fc54-6aa5-4029-9ed9-e67ccdee3c04.h5ad | 17f2fc54-6aa5-4029-9ed9-e67ccdee3c04 | /mnt/scratch/spatial_soma/source_h5ad/17f2fc54-6aa5-4029-9ed9-e67ccdee3c04.h5ad | Spatial transcriptomics in mouse: Puck_200127_06 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/17f2fc54-6aa5-4029-9ed9-e67ccdee3c04.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17301152 | 18898 | 327.80997989205207 | 5.2.0 | 0 | -1 | |
| 0a1b0fc9-2167-4cd3-85c6-379f0fdab8be | https://datasets.cellxgene.cziscience.com/a8a8ba34-fb34-4ac5-8cbc-86d5a05523b5.h5ad | a8a8ba34-fb34-4ac5-8cbc-86d5a05523b5 | /mnt/scratch/spatial_soma/source_h5ad/a8a8ba34-fb34-4ac5-8cbc-86d5a05523b5.h5ad | Spatial transcriptomics in mouse: Puck_200104_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a8a8ba34-fb34-4ac5-8cbc-86d5a05523b5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 21229560 | 22157 | 350.4325044004152 | 5.2.0 | 0 | -1 | |
| 03b3e7b1-1d38-4b39-b996-28ace9c65492 | https://datasets.cellxgene.cziscience.com/9bca5b0c-6f07-44ba-873b-e004bfdd0f66.h5ad | 9bca5b0c-6f07-44ba-873b-e004bfdd0f66 | /mnt/scratch/spatial_soma/source_h5ad/9bca5b0c-6f07-44ba-873b-e004bfdd0f66.h5ad | Spatial transcriptomics in mouse: Puck_191204_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9bca5b0c-6f07-44ba-873b-e004bfdd0f66.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24386199 | 32070 | 270.8021515434986 | 5.2.0 | 0 | -1 | |
| 00099d5e-154f-4a7a-aa8d-fa30c8c0c43c | https://datasets.cellxgene.cziscience.com/ea16a9c4-02fc-403f-a382-081f7e3834bf.h5ad | ea16a9c4-02fc-403f-a382-081f7e3834bf | /mnt/scratch/spatial_soma/source_h5ad/ea16a9c4-02fc-403f-a382-081f7e3834bf.h5ad | Spatial transcriptomics in mouse: Puck_191206_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ea16a9c4-02fc-403f-a382-081f7e3834bf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16410425 | 26239 | 209.55985365295933 | 5.2.0 | 0 | -1 | |
| ff77ee42-ed01-4e50-8413-4cea1f6fbcbc | https://datasets.cellxgene.cziscience.com/8629226e-4f76-4201-ac80-4bf6dd16789c.h5ad | 8629226e-4f76-4201-ac80-4bf6dd16789c | /mnt/scratch/spatial_soma/source_h5ad/8629226e-4f76-4201-ac80-4bf6dd16789c.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200903_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/8629226e-4f76-4201-ac80-4bf6dd16789c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 60587306 | 38024 | 223.57345360824743 | 5.2.0 | 0 | -1 | |
| f425376b-bc86-44fd-936f-c43c0c64bf4f | https://datasets.cellxgene.cziscience.com/439c97eb-e2b8-404d-9fa6-d63ec7657bdb.h5ad | 439c97eb-e2b8-404d-9fa6-d63ec7657bdb | /mnt/scratch/spatial_soma/source_h5ad/439c97eb-e2b8-404d-9fa6-d63ec7657bdb.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_19 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/439c97eb-e2b8-404d-9fa6-d63ec7657bdb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 24241649 | 27036 | 176.27685308477587 | 5.2.0 | 0 | -1 | |
| df4f1358-4a19-44f5-b136-bc7274c29789 | https://datasets.cellxgene.cziscience.com/acf52dbd-8ecf-440f-a035-1c90c9251279.h5ad | acf52dbd-8ecf-440f-a035-1c90c9251279 | /mnt/scratch/spatial_soma/source_h5ad/acf52dbd-8ecf-440f-a035-1c90c9251279.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/acf52dbd-8ecf-440f-a035-1c90c9251279.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 37943119 | 15196 | 574.8311397736246 | 5.2.0 | 0 | -1 | |
| deb385b8-8030-42a4-af1f-aa28932c7344 | https://datasets.cellxgene.cziscience.com/23500c37-755a-4d4c-82e3-5fddc2a1bf26.h5ad | 23500c37-755a-4d4c-82e3-5fddc2a1bf26 | /mnt/scratch/spatial_soma/source_h5ad/23500c37-755a-4d4c-82e3-5fddc2a1bf26.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_06 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/23500c37-755a-4d4c-82e3-5fddc2a1bf26.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 30298813 | 23510 | 303.36299447043814 | 5.2.0 | 0 | -1 | |
| dd49aae6-274c-4d8b-9bf6-025627fdf39e | https://datasets.cellxgene.cziscience.com/d34f337b-5d02-41a5-9191-3d697ce65346.h5ad | d34f337b-5d02-41a5-9191-3d697ce65346 | /mnt/scratch/spatial_soma/source_h5ad/d34f337b-5d02-41a5-9191-3d697ce65346.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_16 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/d34f337b-5d02-41a5-9191-3d697ce65346.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 27639319 | 14495 | 390.3065884787858 | 5.2.0 | 0 | -1 | |
| d98ea49e-b70d-4434-b850-bbe217c9b66e | https://datasets.cellxgene.cziscience.com/74ea7a13-cd83-4d99-b6d3-78fccb7111ed.h5ad | 74ea7a13-cd83-4d99-b6d3-78fccb7111ed | /mnt/scratch/spatial_soma/source_h5ad/74ea7a13-cd83-4d99-b6d3-78fccb7111ed.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/74ea7a13-cd83-4d99-b6d3-78fccb7111ed.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 28845666 | 15216 | 420.28943217665613 | 5.2.0 | 0 | -1 | |
| cb97280b-1c7c-4c55-a921-481062abd9f7 | https://datasets.cellxgene.cziscience.com/f1f5c077-591e-4fbe-8c79-54aacbbc7300.h5ad | f1f5c077-591e-4fbe-8c79-54aacbbc7300 | /mnt/scratch/spatial_soma/source_h5ad/f1f5c077-591e-4fbe-8c79-54aacbbc7300.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/f1f5c077-591e-4fbe-8c79-54aacbbc7300.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 20994092 | 13782 | 212.40052242054855 | 5.2.0 | 0 | -1 | |
| c97f9167-f7f7-40d4-babf-a47663290c09 | https://datasets.cellxgene.cziscience.com/316ee5de-319c-4c25-9040-ebaf9d2a258c.h5ad | 316ee5de-319c-4c25-9040-ebaf9d2a258c | /mnt/scratch/spatial_soma/source_h5ad/316ee5de-319c-4c25-9040-ebaf9d2a258c.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_19 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/316ee5de-319c-4c25-9040-ebaf9d2a258c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 23658337 | 14186 | 236.01346397857043 | 5.2.0 | 0 | -1 | |
| c2dec445-4116-4b6d-9253-a73f9516460f | https://datasets.cellxgene.cziscience.com/0b100822-8ba0-4d6b-b8bc-0f5a7d32ad99.h5ad | 0b100822-8ba0-4d6b-b8bc-0f5a7d32ad99 | /mnt/scratch/spatial_soma/source_h5ad/0b100822-8ba0-4d6b-b8bc-0f5a7d32ad99.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/0b100822-8ba0-4d6b-b8bc-0f5a7d32ad99.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 44988556 | 20868 | 489.87459267778416 | 5.2.0 | 0 | -1 | |
| b627552d-c205-4ab3-b440-e08b3271d372 | https://datasets.cellxgene.cziscience.com/67ad09dc-354a-4dc7-8f2a-63ee7acb6a02.h5ad | 67ad09dc-354a-4dc7-8f2a-63ee7acb6a02 | /mnt/scratch/spatial_soma/source_h5ad/67ad09dc-354a-4dc7-8f2a-63ee7acb6a02.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_04 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/67ad09dc-354a-4dc7-8f2a-63ee7acb6a02.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 50841478 | 22502 | 514.7396675851036 | 5.2.0 | 0 | -1 | |
| a5ecb41a-d1e8-4d6a-954c-30472a2f1007 | https://datasets.cellxgene.cziscience.com/8c079623-9531-49b7-abf2-3a06dac76cab.h5ad | 8c079623-9531-49b7-abf2-3a06dac76cab | /mnt/scratch/spatial_soma/source_h5ad/8c079623-9531-49b7-abf2-3a06dac76cab.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_11 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/8c079623-9531-49b7-abf2-3a06dac76cab.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16583754 | 19029 | 165.9446634084818 | 5.2.0 | 0 | -1 | |
| a5a6c83a-3afe-4a87-8c32-691118c46e51 | https://datasets.cellxgene.cziscience.com/09168c5d-0f16-4375-be0e-b527d2561919.h5ad | 09168c5d-0f16-4375-be0e-b527d2561919 | /mnt/scratch/spatial_soma/source_h5ad/09168c5d-0f16-4375-be0e-b527d2561919.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_09 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/09168c5d-0f16-4375-be0e-b527d2561919.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 12418134 | 13780 | 148.9809869375907 | 5.2.0 | 0 | -1 | |
| a1e16320-801b-4d0a-b60d-ebf9b4130bb4 | https://datasets.cellxgene.cziscience.com/dfa75d59-415b-4b5f-9e2f-40a14d1ac254.h5ad | dfa75d59-415b-4b5f-9e2f-40a14d1ac254 | /mnt/scratch/spatial_soma/source_h5ad/dfa75d59-415b-4b5f-9e2f-40a14d1ac254.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200903_11 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dfa75d59-415b-4b5f-9e2f-40a14d1ac254.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 63353359 | 40436 | 221.21426451676723 | 5.2.0 | 0 | -1 | |
| 9df7a9ce-4298-4d65-9e89-33d83ac8bb69 | https://datasets.cellxgene.cziscience.com/9f0411ca-8074-4e16-8d6f-5b09a2c96761.h5ad | 9f0411ca-8074-4e16-8d6f-5b09a2c96761 | /mnt/scratch/spatial_soma/source_h5ad/9f0411ca-8074-4e16-8d6f-5b09a2c96761.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200903_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9f0411ca-8074-4e16-8d6f-5b09a2c96761.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 69443697 | 35987 | 302.44121488315227 | 5.2.0 | 0 | -1 | |
| 99c400af-2a21-4937-9b84-cc1e52f7ba09 | https://datasets.cellxgene.cziscience.com/7b7862ad-9ae1-49a1-904d-acd54ee1d3de.h5ad | 7b7862ad-9ae1-49a1-904d-acd54ee1d3de | /mnt/scratch/spatial_soma/source_h5ad/7b7862ad-9ae1-49a1-904d-acd54ee1d3de.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200121_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/7b7862ad-9ae1-49a1-904d-acd54ee1d3de.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22352295 | 21054 | 208.4159779614325 | 5.2.0 | 0 | -1 | |
| 90ef2377-e4d0-41c7-924f-6f9ee7a9237d | https://datasets.cellxgene.cziscience.com/0aeba889-34c7-427c-8c0b-5abf70fda5e8.h5ad | 0aeba889-34c7-427c-8c0b-5abf70fda5e8 | /mnt/scratch/spatial_soma/source_h5ad/0aeba889-34c7-427c-8c0b-5abf70fda5e8.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/0aeba889-34c7-427c-8c0b-5abf70fda5e8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 9724164 | 11456 | 130.92274790502793 | 5.2.0 | 0 | -1 | |
| 8c6f14c0-6162-4c2e-971f-510d7b766d7c | https://datasets.cellxgene.cziscience.com/c4806a53-1a19-48a5-a847-236fdd96f7f3.h5ad | c4806a53-1a19-48a5-a847-236fdd96f7f3 | /mnt/scratch/spatial_soma/source_h5ad/c4806a53-1a19-48a5-a847-236fdd96f7f3.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_02 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/c4806a53-1a19-48a5-a847-236fdd96f7f3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 28099171 | 12444 | 500.9917229186757 | 5.2.0 | 0 | -1 | |
| 8c275f25-d8d9-40b2-a81d-498bf89c4677 | https://datasets.cellxgene.cziscience.com/2fe6ab95-4ce2-4fc0-8de4-bcbda40d7fbd.h5ad | 2fe6ab95-4ce2-4fc0-8de4-bcbda40d7fbd | /mnt/scratch/spatial_soma/source_h5ad/2fe6ab95-4ce2-4fc0-8de4-bcbda40d7fbd.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_14 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/2fe6ab95-4ce2-4fc0-8de4-bcbda40d7fbd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 35959471 | 18471 | 449.1247902116832 | 5.2.0 | 0 | -1 | |
| 88b7da92-178d-4f27-bc18-b0165b256c67 | https://datasets.cellxgene.cziscience.com/33c1f3b4-536a-49a6-b265-4caac94f7314.h5ad | 33c1f3b4-536a-49a6-b265-4caac94f7314 | /mnt/scratch/spatial_soma/source_h5ad/33c1f3b4-536a-49a6-b265-4caac94f7314.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200903_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/33c1f3b4-536a-49a6-b265-4caac94f7314.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 90926645 | 44588 | 342.0996232170091 | 5.2.0 | 0 | -1 | |
| 7f479f74-5a7e-4666-9f0d-3af0b341eb0d | https://datasets.cellxgene.cziscience.com/be61eadd-b38d-4456-aa12-29ce0c247a3a.h5ad | be61eadd-b38d-4456-aa12-29ce0c247a3a | /mnt/scratch/spatial_soma/source_h5ad/be61eadd-b38d-4456-aa12-29ce0c247a3a.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_20 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/be61eadd-b38d-4456-aa12-29ce0c247a3a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 28851232 | 28422 | 212.97751741608613 | 5.2.0 | 0 | -1 | |
| 7139f99f-c610-43b8-bb06-4280acb1c987 | https://datasets.cellxgene.cziscience.com/6fc2f970-d6e5-48e4-b206-d73f9c3a121b.h5ad | 6fc2f970-d6e5-48e4-b206-d73f9c3a121b | /mnt/scratch/spatial_soma/source_h5ad/6fc2f970-d6e5-48e4-b206-d73f9c3a121b.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_08 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/6fc2f970-d6e5-48e4-b206-d73f9c3a121b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17632320 | 23145 | 139.0753942536185 | 5.2.0 | 0 | -1 | |
| 6ebb6e9b-efd0-4e02-a49a-4bf3c732203b | https://datasets.cellxgene.cziscience.com/69ad7901-e71f-499a-b2f2-b0781e98d20a.h5ad | 69ad7901-e71f-499a-b2f2-b0781e98d20a | /mnt/scratch/spatial_soma/source_h5ad/69ad7901-e71f-499a-b2f2-b0781e98d20a.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/69ad7901-e71f-499a-b2f2-b0781e98d20a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 27515289 | 17704 | 323.0515702666064 | 5.2.0 | 0 | -1 | |
| 6d62fc4d-052e-4bb4-92ed-55785502a02c | https://datasets.cellxgene.cziscience.com/342667ea-cf29-4a0e-920f-6e6dec201342.h5ad | 342667ea-cf29-4a0e-920f-6e6dec201342 | /mnt/scratch/spatial_soma/source_h5ad/342667ea-cf29-4a0e-920f-6e6dec201342.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_18 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/342667ea-cf29-4a0e-920f-6e6dec201342.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 30016680 | 24675 | 257.7990273556231 | 5.2.0 | 0 | -1 | |
| 6a7c4462-334e-45a4-8aa4-28d3733bbbac | https://datasets.cellxgene.cziscience.com/cfce2591-688c-41c1-893b-349b33f128c3.h5ad | cfce2591-688c-41c1-893b-349b33f128c3 | /mnt/scratch/spatial_soma/source_h5ad/cfce2591-688c-41c1-893b-349b33f128c3.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200121_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/cfce2591-688c-41c1-893b-349b33f128c3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 22545989 | 18730 | 248.055953016551 | 5.2.0 | 0 | -1 | |
| 5f84ba14-4431-4d49-a88f-514cad5a30c8 | https://datasets.cellxgene.cziscience.com/b90c6714-9990-4bc2-87b2-1eca9c333a7d.h5ad | b90c6714-9990-4bc2-87b2-1eca9c333a7d | /mnt/scratch/spatial_soma/source_h5ad/b90c6714-9990-4bc2-87b2-1eca9c333a7d.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_21 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/b90c6714-9990-4bc2-87b2-1eca9c333a7d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17942013 | 22852 | 146.94862594083668 | 5.2.0 | 0 | -1 | |
| 5c451b91-eb50-47f9-a268-467018a09023 | https://datasets.cellxgene.cziscience.com/911ac418-7ccf-4a3b-ad73-5db79a911789.h5ad | 911ac418-7ccf-4a3b-ad73-5db79a911789 | /mnt/scratch/spatial_soma/source_h5ad/911ac418-7ccf-4a3b-ad73-5db79a911789.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_16 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/911ac418-7ccf-4a3b-ad73-5db79a911789.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 19448842 | 13147 | 188.31855176085799 | 5.2.0 | 0 | -1 | |
| 55158af8-7de6-48d5-8aa3-0088ebd7cd4a | https://datasets.cellxgene.cziscience.com/08a5ec39-269d-42fe-aa7e-95b709301acf.h5ad | 08a5ec39-269d-42fe-aa7e-95b709301acf | /mnt/scratch/spatial_soma/source_h5ad/08a5ec39-269d-42fe-aa7e-95b709301acf.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_23 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/08a5ec39-269d-42fe-aa7e-95b709301acf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18242220 | 16234 | 220.37901934212147 | 5.2.0 | 0 | -1 | |
| 53ea4f06-0319-4b13-8e9d-e2581023aab7 | https://datasets.cellxgene.cziscience.com/988d3139-ad95-4656-90f9-867fcd4f1cbb.h5ad | 988d3139-ad95-4656-90f9-867fcd4f1cbb | /mnt/scratch/spatial_soma/source_h5ad/988d3139-ad95-4656-90f9-867fcd4f1cbb.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/988d3139-ad95-4656-90f9-867fcd4f1cbb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 27183779 | 17777 | 320.54778646565785 | 5.2.0 | 0 | -1 | |
| 51e353b3-c8fe-4e8c-b912-e75c9bc28a66 | https://datasets.cellxgene.cziscience.com/73959640-f161-49f1-b873-04adcf52343c.h5ad | 73959640-f161-49f1-b873-04adcf52343c | /mnt/scratch/spatial_soma/source_h5ad/73959640-f161-49f1-b873-04adcf52343c.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_15 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/73959640-f161-49f1-b873-04adcf52343c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 33415601 | 20245 | 356.2725117312917 | 5.2.0 | 0 | -1 | |
| 4ebe33a1-c8ba-4238-9724-bd8b3a977521 | https://datasets.cellxgene.cziscience.com/fb429d1f-9bac-47cd-8b53-72820e942b75.h5ad | fb429d1f-9bac-47cd-8b53-72820e942b75 | /mnt/scratch/spatial_soma/source_h5ad/fb429d1f-9bac-47cd-8b53-72820e942b75.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200131_26 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/fb429d1f-9bac-47cd-8b53-72820e942b75.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 30626718 | 17909 | 271.76855212463005 | 5.2.0 | 0 | -1 | |
| 4d31941b-7abc-4963-bf0c-2021998bc3bc | https://datasets.cellxgene.cziscience.com/9508bb1a-4bc0-4285-ba19-3f2d930e4143.h5ad | 9508bb1a-4bc0-4285-ba19-3f2d930e4143 | /mnt/scratch/spatial_soma/source_h5ad/9508bb1a-4bc0-4285-ba19-3f2d930e4143.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_11 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/9508bb1a-4bc0-4285-ba19-3f2d930e4143.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 33916207 | 25166 | 313.66256059763174 | 5.2.0 | 0 | -1 | |
| 43600c3c-6aa4-490a-bf80-bd74a52edfa4 | https://datasets.cellxgene.cziscience.com/02ae6fef-5140-4e61-88a8-23540685118b.h5ad | 02ae6fef-5140-4e61-88a8-23540685118b | /mnt/scratch/spatial_soma/source_h5ad/02ae6fef-5140-4e61-88a8-23540685118b.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_16 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/02ae6fef-5140-4e61-88a8-23540685118b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 17614554 | 23857 | 137.01563482416063 | 5.2.0 | 0 | -1 | |
| 3bf0da2c-f0d7-4078-a152-d6a4f97ea43f | https://datasets.cellxgene.cziscience.com/a05b00eb-a407-4ae5-be48-5ae6d965e2fd.h5ad | a05b00eb-a407-4ae5-be48-5ae6d965e2fd | /mnt/scratch/spatial_soma/source_h5ad/a05b00eb-a407-4ae5-be48-5ae6d965e2fd.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_17 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a05b00eb-a407-4ae5-be48-5ae6d965e2fd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16536317 | 10419 | 201.57193588636144 | 5.2.0 | 0 | -1 | |
| 3679ae7d-d70e-4c09-a8bb-78b8ae1006ff | https://datasets.cellxgene.cziscience.com/bfa2695d-0d7f-43d5-8126-5f25415701d6.h5ad | bfa2695d-0d7f-43d5-8126-5f25415701d6 | /mnt/scratch/spatial_soma/source_h5ad/bfa2695d-0d7f-43d5-8126-5f25415701d6.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200131_25 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/bfa2695d-0d7f-43d5-8126-5f25415701d6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 11805960 | 10701 | 211.29632744603308 | 5.2.0 | 0 | -1 | |
| 34cb364a-c405-478e-8cdd-48a69ae5c5b4 | https://datasets.cellxgene.cziscience.com/ad4978f3-d73d-469b-b5d4-3d6c0b78be1b.h5ad | ad4978f3-d73d-469b-b5d4-3d6c0b78be1b | /mnt/scratch/spatial_soma/source_h5ad/ad4978f3-d73d-469b-b5d4-3d6c0b78be1b.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_05 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/ad4978f3-d73d-469b-b5d4-3d6c0b78be1b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 35633391 | 29921 | 275.3637578957923 | 5.2.0 | 0 | -1 | |
| 2d4998cf-bd56-4e59-b57d-a04682a36ab1 | https://datasets.cellxgene.cziscience.com/dfe81b76-64b7-47e7-8730-a272cd0a4f23.h5ad | dfe81b76-64b7-47e7-8730-a272cd0a4f23 | /mnt/scratch/spatial_soma/source_h5ad/dfe81b76-64b7-47e7-8730-a272cd0a4f23.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_03 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dfe81b76-64b7-47e7-8730-a272cd0a4f23.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 36097143 | 20866 | 376.4101888239241 | 5.2.0 | 0 | -1 | |
| 28ab6eb8-dfa4-4536-9f26-7e06c1b98e8e | https://datasets.cellxgene.cziscience.com/a283e417-6d35-44d3-adf3-f62a51cf7ff2.h5ad | a283e417-6d35-44d3-adf3-f62a51cf7ff2 | /mnt/scratch/spatial_soma/source_h5ad/a283e417-6d35-44d3-adf3-f62a51cf7ff2.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200104_15 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a283e417-6d35-44d3-adf3-f62a51cf7ff2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 29319499 | 25741 | 246.2679771570646 | 5.2.0 | 0 | -1 | |
| 141b77bf-65b5-47d3-b860-d9ef25caa0e0 | https://datasets.cellxgene.cziscience.com/eba9b82f-a3e9-4f17-91e5-ba4bb7796190.h5ad | eba9b82f-a3e9-4f17-91e5-ba4bb7796190 | /mnt/scratch/spatial_soma/source_h5ad/eba9b82f-a3e9-4f17-91e5-ba4bb7796190.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200131_24 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/eba9b82f-a3e9-4f17-91e5-ba4bb7796190.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 16847377 | 12488 | 288.7415919282511 | 5.2.0 | 0 | -1 | |
| 0f68a90c-afc0-46dc-ad88-cf63a9fc5b56 | https://datasets.cellxgene.cziscience.com/497e378c-cdea-4df5-be4e-87de8cb6d171.h5ad | 497e378c-cdea-4df5-be4e-87de8cb6d171 | /mnt/scratch/spatial_soma/source_h5ad/497e378c-cdea-4df5-be4e-87de8cb6d171.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200205_13 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/497e378c-cdea-4df5-be4e-87de8cb6d171.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 18956583 | 12531 | 196.19040778868407 | 5.2.0 | 0 | -1 | |
| 0d049f5a-19b1-4055-a377-011a9570032c | https://datasets.cellxgene.cziscience.com/03bc9035-3e80-498b-9937-555c1cdb87a5.h5ad | 03bc9035-3e80-498b-9937-555c1cdb87a5 | /mnt/scratch/spatial_soma/source_h5ad/03bc9035-3e80-498b-9937-555c1cdb87a5.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_07 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/03bc9035-3e80-498b-9937-555c1cdb87a5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 42571130 | 23921 | 396.5585050792191 | 5.2.0 | 0 | -1 | |
| 0ae96eac-ff08-4870-9bc3-cd12418af7e4 | https://datasets.cellxgene.cziscience.com/df2fd22a-9c5b-41ca-8c60-f727046378e7.h5ad | df2fd22a-9c5b-41ca-8c60-f727046378e7 | /mnt/scratch/spatial_soma/source_h5ad/df2fd22a-9c5b-41ca-8c60-f727046378e7.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_01 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/df2fd22a-9c5b-41ca-8c60-f727046378e7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 37323479 | 29769 | 285.0246229298935 | 5.2.0 | 0 | -1 | |
| 0738f538-ff2f-4346-b2eb-72704c291188 | https://datasets.cellxgene.cziscience.com/a6554b87-fa7d-4896-972d-79231c56e3a3.h5ad | a6554b87-fa7d-4896-972d-79231c56e3a3 | /mnt/scratch/spatial_soma/source_h5ad/a6554b87-fa7d-4896-972d-79231c56e3a3.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_12 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a6554b87-fa7d-4896-972d-79231c56e3a3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 12814765 | 14010 | 159.40049964311206 | 5.2.0 | 0 | -1 | |
| 0737011b-45a6-49f6-8b5a-b85c35160bac | https://datasets.cellxgene.cziscience.com/dee2a9af-cb36-4693-9278-8f5e55ac43d5.h5ad | dee2a9af-cb36-4693-9278-8f5e55ac43d5 | /mnt/scratch/spatial_soma/source_h5ad/dee2a9af-cb36-4693-9278-8f5e55ac43d5.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200113_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/dee2a9af-cb36-4693-9278-8f5e55ac43d5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 26493899 | 18377 | 298.6156608804484 | 5.2.0 | 0 | -1 | |
| 02f8bb42-0322-4906-b9ad-b92a5ce73a2d | https://datasets.cellxgene.cziscience.com/a358926a-88b5-45c3-9e87-f16b83751540.h5ad | a358926a-88b5-45c3-9e87-f16b83751540 | /mnt/scratch/spatial_soma/source_h5ad/a358926a-88b5-45c3-9e87-f16b83751540.h5ad | Spatial transcriptomics in the healthy human kidney: Puck_200115_10 | Publication: https://doi.org/10.1016/j.isci.2022.104097 Dataset Version: https://datasets.cellxgene.cziscience.com/a358926a-88b5-45c3-9e87-f16b83751540.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8e880741-bf9a-4c8e-9227-934204631d2a | 8e880741-bf9a-4c8e-9227-934204631d2a | High Resolution Slide-seqV2 Spatial Transcriptomics Enables Discovery of Disease-Specific Cell Neighborhoods and Pathways | 10.1016/j.isci.2022.104097 | Marshall et al. (2022) iScience | 29645462 | 19421 | 350.25606302456106 | 5.2.0 | 0 | -1 |
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| dataset_id | dataset_asset_h5ad_uri | dataset_version_id | dataset_h5ad_path | dataset_title | citation | collection_id | collection_name | collection_doi | collection_doi_label | asset_h5ad_filesize | cell_count | mean_genes_per_cell | schema_version | dataset_total_cell_count | soma_joinid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| e387b643-a223-4cbe-a9ec-d903f688d586 | https://datasets.cellxgene.cziscience.com/649da560-4123-49f5-9609-005a4e4c515d.h5ad | 649da560-4123-49f5-9609-005a4e4c515d | /mnt/scratch/spatial_soma/source_h5ad/649da560-4123-49f5-9609-005a4e4c515d.h5ad | thymus visium sample TA11556495 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/649da560-4123-49f5-9609-005a4e4c515d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 191253057 | 4992 | 3097.3379407051284 | 5.2.0 | 0 | -1 | |
| dce86f11-28ae-48bc-aa5e-58dc976037b3 | https://datasets.cellxgene.cziscience.com/96643214-e7f5-4c5e-a9ab-97ff89d2c21f.h5ad | 96643214-e7f5-4c5e-a9ab-97ff89d2c21f | /mnt/scratch/spatial_soma/source_h5ad/96643214-e7f5-4c5e-a9ab-97ff89d2c21f.h5ad | thymus visium sample WSSS_F_IMMsp11765867 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/96643214-e7f5-4c5e-a9ab-97ff89d2c21f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 128395698 | 4992 | 2872.112580128205 | 5.2.0 | 0 | -1 | |
| dbc2f08c-17f6-42c5-9a35-095e606c3958 | https://datasets.cellxgene.cziscience.com/96213c58-f6af-4f4a-920f-868a4bedcfb3.h5ad | 96213c58-f6af-4f4a-920f-868a4bedcfb3 | /mnt/scratch/spatial_soma/source_h5ad/96213c58-f6af-4f4a-920f-868a4bedcfb3.h5ad | thymus visium sample WSSS_THYst9142088 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/96213c58-f6af-4f4a-920f-868a4bedcfb3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 175932956 | 4992 | 1788.7646233974358 | 5.2.0 | 0 | -1 | |
| d551b400-b2e5-454d-b5a9-ece03e6b4739 | https://datasets.cellxgene.cziscience.com/7ab97753-e374-41cb-846b-c942b37abc00.h5ad | 7ab97753-e374-41cb-846b-c942b37abc00 | /mnt/scratch/spatial_soma/source_h5ad/7ab97753-e374-41cb-846b-c942b37abc00.h5ad | thymus visium sample WSSS_THYst9142086 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/7ab97753-e374-41cb-846b-c942b37abc00.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 168194096 | 4992 | 1143.3689903846155 | 5.2.0 | 0 | -1 | |
| d50a5a5c-17e7-486b-81a8-5af7d53de414 | https://datasets.cellxgene.cziscience.com/10b1c044-1787-4ef4-83d0-a8a1c4237279.h5ad | 10b1c044-1787-4ef4-83d0-a8a1c4237279 | /mnt/scratch/spatial_soma/source_h5ad/10b1c044-1787-4ef4-83d0-a8a1c4237279.h5ad | thymus visium sample TA11486163 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/10b1c044-1787-4ef4-83d0-a8a1c4237279.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 169992678 | 4992 | 1066.7431891025642 | 5.2.0 | 0 | -1 | |
| c447ff21-49b9-404c-8f70-e2fb7c73cf25 | https://datasets.cellxgene.cziscience.com/a4e2cc24-5c85-4c84-9b70-86d8d07965ad.h5ad | a4e2cc24-5c85-4c84-9b70-86d8d07965ad | /mnt/scratch/spatial_soma/source_h5ad/a4e2cc24-5c85-4c84-9b70-86d8d07965ad.h5ad | thymus visium sample WSSS_F_IMMsp11604689 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/a4e2cc24-5c85-4c84-9b70-86d8d07965ad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 110417285 | 4992 | 1417.6778846153845 | 5.2.0 | 0 | -1 | |
| b80d2efd-3602-4419-b8e7-8fdeaf431f05 | https://datasets.cellxgene.cziscience.com/4db15243-ae0e-443b-aebf-fa009e587758.h5ad | 4db15243-ae0e-443b-aebf-fa009e587758 | /mnt/scratch/spatial_soma/source_h5ad/4db15243-ae0e-443b-aebf-fa009e587758.h5ad | thymus visium sample WSSS_THYst9518033 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/4db15243-ae0e-443b-aebf-fa009e587758.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 169185994 | 4992 | 1237.3808092948718 | 5.2.0 | 0 | -1 | |
| a614ec2c-5c14-425e-afb9-6c897aba159f | https://datasets.cellxgene.cziscience.com/152c58db-dde4-4e65-b295-a69804a004a1.h5ad | 152c58db-dde4-4e65-b295-a69804a004a1 | /mnt/scratch/spatial_soma/source_h5ad/152c58db-dde4-4e65-b295-a69804a004a1.h5ad | thymus visium sample WSSS_THYst9142089 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/152c58db-dde4-4e65-b295-a69804a004a1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 172382541 | 4992 | 1474.2646233974358 | 5.2.0 | 0 | -1 | |
| 93b68c0a-f70f-4361-94da-03efd5f1ad9b | https://datasets.cellxgene.cziscience.com/a4fcea51-42d7-4b09-812b-fb42c194f9cb.h5ad | a4fcea51-42d7-4b09-812b-fb42c194f9cb | /mnt/scratch/spatial_soma/source_h5ad/a4fcea51-42d7-4b09-812b-fb42c194f9cb.h5ad | thymus visium sample WSSS_F_IMMsp11765868 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/a4fcea51-42d7-4b09-812b-fb42c194f9cb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 130777892 | 4992 | 3088.074519230769 | 5.2.0 | 0 | -1 | |
| 8a7c6bd5-1aa0-457e-8be0-b91e9283dd9c | https://datasets.cellxgene.cziscience.com/4e26def5-d7a1-4006-879d-09727ac3ca67.h5ad | 4e26def5-d7a1-4006-879d-09727ac3ca67 | /mnt/scratch/spatial_soma/source_h5ad/4e26def5-d7a1-4006-879d-09727ac3ca67.h5ad | thymus visium sample WSSS_F_IMMsp11604690 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/4e26def5-d7a1-4006-879d-09727ac3ca67.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 107985250 | 4992 | 1206.798076923077 | 5.2.0 | 0 | -1 | |
| 8941ecc9-05f8-431d-9a32-0baaf3f145ea | https://datasets.cellxgene.cziscience.com/50a91656-d733-4cfb-92f8-bc24efdf8f30.h5ad | 50a91656-d733-4cfb-92f8-bc24efdf8f30 | /mnt/scratch/spatial_soma/source_h5ad/50a91656-d733-4cfb-92f8-bc24efdf8f30.h5ad | thymus visium sample WSSS_F_IMMsp11604688 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/50a91656-d733-4cfb-92f8-bc24efdf8f30.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 103282232 | 4992 | 645.7572115384615 | 5.2.0 | 0 | -1 | |
| 7e7b7257-5a43-40bd-8711-32b84dde074d | https://datasets.cellxgene.cziscience.com/d4d1e624-eaf7-4c7e-a796-dc6c5acaebdb.h5ad | d4d1e624-eaf7-4c7e-a796-dc6c5acaebdb | /mnt/scratch/spatial_soma/source_h5ad/d4d1e624-eaf7-4c7e-a796-dc6c5acaebdb.h5ad | thymus visium sample WSSS_F_IMMsp11604685 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d4d1e624-eaf7-4c7e-a796-dc6c5acaebdb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 104390751 | 4992 | 686.5328525641025 | 5.2.0 | 0 | -1 | |
| 73632d4a-2160-43da-8006-92968cd1a102 | https://datasets.cellxgene.cziscience.com/b7b403e8-875b-4962-bf15-f9c98ba10530.h5ad | b7b403e8-875b-4962-bf15-f9c98ba10530 | /mnt/scratch/spatial_soma/source_h5ad/b7b403e8-875b-4962-bf15-f9c98ba10530.h5ad | thymus visium sample TA11556494 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/b7b403e8-875b-4962-bf15-f9c98ba10530.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 189687116 | 4992 | 2986.5332532051284 | 5.2.0 | 0 | -1 | |
| 7158766e-e1a3-4895-a81a-8b043fdd3bb6 | https://datasets.cellxgene.cziscience.com/25b506de-4351-4d1e-bf49-5bc2253c2a9e.h5ad | 25b506de-4351-4d1e-bf49-5bc2253c2a9e | /mnt/scratch/spatial_soma/source_h5ad/25b506de-4351-4d1e-bf49-5bc2253c2a9e.h5ad | thymus visium sample TA11486161 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/25b506de-4351-4d1e-bf49-5bc2253c2a9e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 162747251 | 4992 | 665.7580128205128 | 5.2.0 | 0 | -1 | |
| 6bf0b3fa-7f96-400e-ae3e-314614e377e7 | https://datasets.cellxgene.cziscience.com/d5a2d8bc-f673-4392-93b9-f8ea3bf030d4.h5ad | d5a2d8bc-f673-4392-93b9-f8ea3bf030d4 | /mnt/scratch/spatial_soma/source_h5ad/d5a2d8bc-f673-4392-93b9-f8ea3bf030d4.h5ad | thymus visium sample WSSS_F_IMMsp10864183 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d5a2d8bc-f673-4392-93b9-f8ea3bf030d4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 124447791 | 4992 | 2310.427483974359 | 5.2.0 | 0 | -1 | |
| 6955f319-f26c-436a-84ca-16723c759ba7 | https://datasets.cellxgene.cziscience.com/0c864886-643a-456a-8c6b-e013cb7b6848.h5ad | 0c864886-643a-456a-8c6b-e013cb7b6848 | /mnt/scratch/spatial_soma/source_h5ad/0c864886-643a-456a-8c6b-e013cb7b6848.h5ad | thymus visium sample TA11556493 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/0c864886-643a-456a-8c6b-e013cb7b6848.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 188714335 | 4992 | 2869.903846153846 | 5.2.0 | 0 | -1 | |
| 5d2733c4-f91c-448b-a234-fbce0f46d4b9 | https://datasets.cellxgene.cziscience.com/5621f27c-e220-427f-a643-2584fdfced65.h5ad | 5621f27c-e220-427f-a643-2584fdfced65 | /mnt/scratch/spatial_soma/source_h5ad/5621f27c-e220-427f-a643-2584fdfced65.h5ad | thymus visium sample WSSS_F_IMMsp11604686 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/5621f27c-e220-427f-a643-2584fdfced65.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 105917565 | 4992 | 781.8219150641025 | 5.2.0 | 0 | -1 | |
| 4cceac62-9513-42a4-90e5-2878dbb0192c | https://datasets.cellxgene.cziscience.com/f9c351e3-32ef-4804-a73a-e259f37630dd.h5ad | f9c351e3-32ef-4804-a73a-e259f37630dd | /mnt/scratch/spatial_soma/source_h5ad/f9c351e3-32ef-4804-a73a-e259f37630dd.h5ad | thymus visium sample WSSS_THYst9518030 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/f9c351e3-32ef-4804-a73a-e259f37630dd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 172748906 | 4992 | 1530.0943509615386 | 5.2.0 | 0 | -1 | |
| 48900359-9ba9-4337-b1c6-a2393b17d670 | https://datasets.cellxgene.cziscience.com/0529827f-3562-4c3c-a836-8005a13407fc.h5ad | 0529827f-3562-4c3c-a836-8005a13407fc | /mnt/scratch/spatial_soma/source_h5ad/0529827f-3562-4c3c-a836-8005a13407fc.h5ad | thymus visium sample WSSS_THYst9142087 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/0529827f-3562-4c3c-a836-8005a13407fc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 166112211 | 4992 | 922.0989583333334 | 5.2.0 | 0 | -1 | |
| 43848156-ba94-47b5-8409-7535cea75678 | https://datasets.cellxgene.cziscience.com/5429320d-b5d0-4847-b0ef-b4a98d97e3ee.h5ad | 5429320d-b5d0-4847-b0ef-b4a98d97e3ee | /mnt/scratch/spatial_soma/source_h5ad/5429320d-b5d0-4847-b0ef-b4a98d97e3ee.h5ad | thymus visium sample TA11556492 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/5429320d-b5d0-4847-b0ef-b4a98d97e3ee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 186173757 | 4992 | 2486.7203525641025 | 5.2.0 | 0 | -1 | |
| 3a29c3df-b45a-403d-bd76-259640245432 | https://datasets.cellxgene.cziscience.com/f67443eb-2d2f-4cbd-9a2f-b0279569db7f.h5ad | f67443eb-2d2f-4cbd-9a2f-b0279569db7f | /mnt/scratch/spatial_soma/source_h5ad/f67443eb-2d2f-4cbd-9a2f-b0279569db7f.h5ad | thymus visium sample TA11486164 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/f67443eb-2d2f-4cbd-9a2f-b0279569db7f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 168089111 | 4992 | 976.0376602564103 | 5.2.0 | 0 | -1 | |
| 35d08a93-c6d2-4954-9a14-3710c331d28c | https://datasets.cellxgene.cziscience.com/d94b7b7e-bea3-4110-a373-f7a715628f14.h5ad | d94b7b7e-bea3-4110-a373-f7a715628f14 | /mnt/scratch/spatial_soma/source_h5ad/d94b7b7e-bea3-4110-a373-f7a715628f14.h5ad | thymus visium sample WSSS_F_IMMsp11604687 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/d94b7b7e-bea3-4110-a373-f7a715628f14.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 105694316 | 4992 | 839.8157051282051 | 5.2.0 | 0 | -1 | |
| 2ce7f866-1f9e-486b-b555-c06410e188cb | https://datasets.cellxgene.cziscience.com/e4206270-4eac-48dc-9186-2668a8680afd.h5ad | e4206270-4eac-48dc-9186-2668a8680afd | /mnt/scratch/spatial_soma/source_h5ad/e4206270-4eac-48dc-9186-2668a8680afd.h5ad | thymus visium sample TA11556496 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/e4206270-4eac-48dc-9186-2668a8680afd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 189241513 | 4992 | 2966.229967948718 | 5.2.0 | 0 | -1 | |
| 24cd1930-ac79-4bf4-adb9-7970644fabf7 | https://datasets.cellxgene.cziscience.com/dff53c9d-051b-4827-b954-edc9086a831d.h5ad | dff53c9d-051b-4827-b954-edc9086a831d | /mnt/scratch/spatial_soma/source_h5ad/dff53c9d-051b-4827-b954-edc9086a831d.h5ad | thymus visium sample WSSS_F_IMMsp9838711 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/dff53c9d-051b-4827-b954-edc9086a831d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 123434393 | 4992 | 2402.8477564102564 | 5.2.0 | 0 | -1 | |
| 22a8b852-6bd0-488c-9c4d-140c17f82fce | https://datasets.cellxgene.cziscience.com/3d217e55-75de-475e-b23c-ea450a075f5d.h5ad | 3d217e55-75de-475e-b23c-ea450a075f5d | /mnt/scratch/spatial_soma/source_h5ad/3d217e55-75de-475e-b23c-ea450a075f5d.h5ad | thymus visium sample WSSS_F_IMMsp9838716 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/3d217e55-75de-475e-b23c-ea450a075f5d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 135515038 | 4992 | 3369.2606169871797 | 5.2.0 | 0 | -1 | |
| 1b2d0349-d2b2-4138-b86f-863b4410402c | https://datasets.cellxgene.cziscience.com/e60328a3-3cf7-4049-b388-a3f27007ca35.h5ad | e60328a3-3cf7-4049-b388-a3f27007ca35 | /mnt/scratch/spatial_soma/source_h5ad/e60328a3-3cf7-4049-b388-a3f27007ca35.h5ad | thymus visium sample TA11486162 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/e60328a3-3cf7-4049-b388-a3f27007ca35.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 165608980 | 4992 | 784.1280048076923 | 5.2.0 | 0 | -1 | |
| 1a381d53-3af7-48a3-9a45-93e40cbeb924 | https://datasets.cellxgene.cziscience.com/edf6a6a9-b078-4d1d-ac75-2880689b1423.h5ad | edf6a6a9-b078-4d1d-ac75-2880689b1423 | /mnt/scratch/spatial_soma/source_h5ad/edf6a6a9-b078-4d1d-ac75-2880689b1423.h5ad | thymus visium sample WSSS_THYst9518032 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/edf6a6a9-b078-4d1d-ac75-2880689b1423.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 166987195 | 4992 | 1059.304887820513 | 5.2.0 | 0 | -1 | |
| 04ea2093-332f-4684-99f1-c353cd62c35b | https://datasets.cellxgene.cziscience.com/ae7e8fad-f2e6-4957-bfc8-350ab28c7516.h5ad | ae7e8fad-f2e6-4957-bfc8-350ab28c7516 | /mnt/scratch/spatial_soma/source_h5ad/ae7e8fad-f2e6-4957-bfc8-350ab28c7516.h5ad | thymus visium sample WSSS_F_IMMsp11765870 | Publication: https://doi.org/10.1038/s41586-024-07944-6 Dataset Version: https://datasets.cellxgene.cziscience.com/ae7e8fad-f2e6-4957-bfc8-350ab28c7516.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | fc19ae6c-d7c1-4dce-b703-62c5d52061b4 | A spatial human thymus cell atlas mapped to a continuous tissue axis | 10.1038/s41586-024-07944-6 | Yayon et al. (2024) Nature | 123022030 | 4992 | 2212.83453525641 | 5.2.0 | 0 | -1 | |
| f1e4a73c-33ab-4564-bf92-742f8b286da6 | https://datasets.cellxgene.cziscience.com/27316497-c369-430a-81d3-fb0c1a25665a.h5ad | 27316497-c369-430a-81d3-fb0c1a25665a | /mnt/scratch/spatial_soma/source_h5ad/27316497-c369-430a-81d3-fb0c1a25665a.h5ad | WSSS_F_IMMsp10864182 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/27316497-c369-430a-81d3-fb0c1a25665a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 152697143 | 4992 | 2494.9639423076924 | 5.2.0 | 0 | -1 | |
| e21487a3-936c-4114-8cf2-cfcc60c7eb6d | https://datasets.cellxgene.cziscience.com/b08be52f-397d-4f99-b395-f2b705bf9f3b.h5ad | b08be52f-397d-4f99-b395-f2b705bf9f3b | /mnt/scratch/spatial_soma/source_h5ad/b08be52f-397d-4f99-b395-f2b705bf9f3b.h5ad | WSSS_F_IMMsp9838717 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/b08be52f-397d-4f99-b395-f2b705bf9f3b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 142962038 | 4992 | 2290.1748798076924 | 5.2.0 | 0 | -1 | |
| dcc10fd8-23c1-4d3f-b07a-ab7cb120ad00 | https://datasets.cellxgene.cziscience.com/14ee8289-8c77-45d0-914e-f41d756a4ea9.h5ad | 14ee8289-8c77-45d0-914e-f41d756a4ea9 | /mnt/scratch/spatial_soma/source_h5ad/14ee8289-8c77-45d0-914e-f41d756a4ea9.h5ad | WSSS_F_IMMsp9838711 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/14ee8289-8c77-45d0-914e-f41d756a4ea9.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 131127896 | 4992 | 2402.8477564102564 | 5.2.0 | 0 | -1 | |
| c4e2bde2-3c51-4d10-9fd6-053e212b4824 | https://datasets.cellxgene.cziscience.com/01864c80-31ca-4221-8f94-834da7096c4d.h5ad | 01864c80-31ca-4221-8f94-834da7096c4d | /mnt/scratch/spatial_soma/source_h5ad/01864c80-31ca-4221-8f94-834da7096c4d.h5ad | WSSS_F_IMMsp9838715 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/01864c80-31ca-4221-8f94-834da7096c4d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 153212285 | 4992 | 2655.5310496794873 | 5.2.0 | 0 | -1 | |
| aede7ec2-a32a-418f-b8f9-3a5c9b26245a | https://datasets.cellxgene.cziscience.com/3a5b7130-5240-49b1-8f9d-1523a57ac083.h5ad | 3a5b7130-5240-49b1-8f9d-1523a57ac083 | /mnt/scratch/spatial_soma/source_h5ad/3a5b7130-5240-49b1-8f9d-1523a57ac083.h5ad | WSSS_F_IMMsp9838716 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/3a5b7130-5240-49b1-8f9d-1523a57ac083.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 163669128 | 4992 | 3369.2606169871797 | 5.2.0 | 0 | -1 | |
| 83de2c2c-c102-4b18-9e7d-da36e8ad76ca | https://datasets.cellxgene.cziscience.com/e930ffde-a201-42ef-8dea-c16252a2dde2.h5ad | e930ffde-a201-42ef-8dea-c16252a2dde2 | /mnt/scratch/spatial_soma/source_h5ad/e930ffde-a201-42ef-8dea-c16252a2dde2.h5ad | WSSS_F_IMMsp10864184 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/e930ffde-a201-42ef-8dea-c16252a2dde2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 171134355 | 4992 | 2126.6812900641025 | 5.2.0 | 0 | -1 | |
| 60608f13-0141-462c-acac-4556dc6b542b | https://datasets.cellxgene.cziscience.com/b1d3bded-1484-476e-ab8f-6ac9c1f59737.h5ad | b1d3bded-1484-476e-ab8f-6ac9c1f59737 | /mnt/scratch/spatial_soma/source_h5ad/b1d3bded-1484-476e-ab8f-6ac9c1f59737.h5ad | WSSS_F_IMMsp9838712 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/b1d3bded-1484-476e-ab8f-6ac9c1f59737.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 136694229 | 4992 | 2308.608373397436 | 5.2.0 | 0 | -1 | |
| 4ee03124-5782-4187-968a-c178f8b212e1 | https://datasets.cellxgene.cziscience.com/5c3b042f-29e6-4636-9edf-4a4835df2514.h5ad | 5c3b042f-29e6-4636-9edf-4a4835df2514 | /mnt/scratch/spatial_soma/source_h5ad/5c3b042f-29e6-4636-9edf-4a4835df2514.h5ad | WSSS_F_IMMsp10864181 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/5c3b042f-29e6-4636-9edf-4a4835df2514.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 186790409 | 4992 | 2501.925280448718 | 5.2.0 | 0 | -1 | |
| 41bc3efb-b4e1-4676-8cb9-3a128450d9e1 | https://datasets.cellxgene.cziscience.com/53252188-36dd-430a-a0ce-5054efb4c531.h5ad | 53252188-36dd-430a-a0ce-5054efb4c531 | /mnt/scratch/spatial_soma/source_h5ad/53252188-36dd-430a-a0ce-5054efb4c531.h5ad | WSSS_F_IMMsp9838710 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/53252188-36dd-430a-a0ce-5054efb4c531.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 116729877 | 4992 | 1218.3956330128206 | 5.2.0 | 0 | -1 | |
| 001b01fe-5c70-4bda-a3aa-ee09b7899b14 | https://datasets.cellxgene.cziscience.com/bc76d9d0-cc9e-442b-b456-d457612792e0.h5ad | bc76d9d0-cc9e-442b-b456-d457612792e0 | /mnt/scratch/spatial_soma/source_h5ad/bc76d9d0-cc9e-442b-b456-d457612792e0.h5ad | WSSS_F_IMMsp10864183 | Publication: https://doi.org/10.1126/science.abo0510 Dataset Version: https://datasets.cellxgene.cziscience.com/bc76d9d0-cc9e-442b-b456-d457612792e0.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/b1a879f6-5638-48d3-8f64-f6592c1b1561 | b1a879f6-5638-48d3-8f64-f6592c1b1561 | Mapping the developing human immune system across organs | 10.1126/science.abo0510 | Suo et al. (2022) Science | 159694450 | 4992 | 2310.427483974359 | 5.2.0 | 0 | -1 | |
| e48cdb8c-c436-418c-bfa9-7946044d408a | https://datasets.cellxgene.cziscience.com/f7c21cf1-9179-42c7-9f29-97f65a15ec18.h5ad | f7c21cf1-9179-42c7-9f29-97f65a15ec18 | /mnt/scratch/spatial_soma/source_h5ad/f7c21cf1-9179-42c7-9f29-97f65a15ec18.h5ad | Ctrl2_D1_IGO_11440_8 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/f7c21cf1-9179-42c7-9f29-97f65a15ec18.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 63747303 | 4992 | 2377.869391025641 | 5.2.0 | 0 | -1 | |
| c9d294c7-857f-4ae5-8abe-6480d1584c6f | https://datasets.cellxgene.cziscience.com/4673376f-ddae-4307-a32e-b7e20a060717.h5ad | 4673376f-ddae-4307-a32e-b7e20a060717 | /mnt/scratch/spatial_soma/source_h5ad/4673376f-ddae-4307-a32e-b7e20a060717.h5ad | DT2_D1_IGO_11440_12 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/4673376f-ddae-4307-a32e-b7e20a060717.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 71360546 | 4992 | 2881.438501602564 | 5.2.0 | 0 | -1 | |
| b681d612-87ba-4234-8d37-5a7fd83526cb | https://datasets.cellxgene.cziscience.com/978db759-be5c-42a6-98df-7337b18e5b5c.h5ad | 978db759-be5c-42a6-98df-7337b18e5b5c | /mnt/scratch/spatial_soma/source_h5ad/978db759-be5c-42a6-98df-7337b18e5b5c.h5ad | Ctrl1_A1 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/978db759-be5c-42a6-98df-7337b18e5b5c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 71654627 | 4992 | 2749.1983173076924 | 5.2.0 | 0 | -1 | |
| 939794ef-3106-4126-a40c-541ee3c4b077 | https://datasets.cellxgene.cziscience.com/2900c9f7-e887-4ca1-92f6-db9a15bc85bb.h5ad | 2900c9f7-e887-4ca1-92f6-db9a15bc85bb | /mnt/scratch/spatial_soma/source_h5ad/2900c9f7-e887-4ca1-92f6-db9a15bc85bb.h5ad | DT2_C1_IGO_11440_11 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/2900c9f7-e887-4ca1-92f6-db9a15bc85bb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 75407854 | 4992 | 2922.430689102564 | 5.2.0 | 0 | -1 | |
| 89b7ced8-7d2e-4c75-b0a8-45bb07d15c80 | https://datasets.cellxgene.cziscience.com/4f235fdd-4717-480b-b333-998f0fdb0dad.h5ad | 4f235fdd-4717-480b-b333-998f0fdb0dad | /mnt/scratch/spatial_soma/source_h5ad/4f235fdd-4717-480b-b333-998f0fdb0dad.h5ad | DT1_B1_IGO_11440_10 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/4f235fdd-4717-480b-b333-998f0fdb0dad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 78975927 | 4992 | 3024.846955128205 | 5.2.0 | 0 | -1 | |
| 76df68b2-9608-45ce-9dd8-06b66905558f | https://datasets.cellxgene.cziscience.com/1e5a995f-a2dc-492d-95f2-0965f334f49b.h5ad | 1e5a995f-a2dc-492d-95f2-0965f334f49b | /mnt/scratch/spatial_soma/source_h5ad/1e5a995f-a2dc-492d-95f2-0965f334f49b.h5ad | Ctrl2_C1_IGO_11440_7 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/1e5a995f-a2dc-492d-95f2-0965f334f49b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 69502975 | 4992 | 2504.6738782051284 | 5.2.0 | 0 | -1 | |
| 5e044266-bba1-4cc6-aa95-6b1a5b0811d7 | https://datasets.cellxgene.cziscience.com/84df7927-46ec-45b8-bef7-b276a0135916.h5ad | 84df7927-46ec-45b8-bef7-b276a0135916 | /mnt/scratch/spatial_soma/source_h5ad/84df7927-46ec-45b8-bef7-b276a0135916.h5ad | Ctrl1_B1_IGO_11440_6 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/84df7927-46ec-45b8-bef7-b276a0135916.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 72704408 | 4992 | 2854.7736378205127 | 5.2.0 | 0 | -1 | |
| 3dd69434-56fa-45da-8a23-579dcf3dc0e1 | https://datasets.cellxgene.cziscience.com/a8e66290-4a80-4d60-890a-983c306ff89f.h5ad | a8e66290-4a80-4d60-890a-983c306ff89f | /mnt/scratch/spatial_soma/source_h5ad/a8e66290-4a80-4d60-890a-983c306ff89f.h5ad | DT1_A1_IGO_11440_9 | Publication: https://doi.org/10.1038/s41590-023-01504-2 Dataset Version: https://datasets.cellxgene.cziscience.com/a8e66290-4a80-4d60-890a-983c306ff89f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/efd94500-1fdc-4e28-9e9f-a309d0154e21 | efd94500-1fdc-4e28-9e9f-a309d0154e21 | HTAN MSK - Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies | 10.1038/s41590-023-01504-2 | Glasner et al. (2023) Nat Immunol | 78139164 | 4992 | 2959.883814102564 | 5.2.0 | 0 | -1 | |
| ec2ea7ec-92cf-4b48-ac5e-1bb6e6e26ef4 | https://datasets.cellxgene.cziscience.com/93840b7c-097b-4acb-a363-fd59862d961a.h5ad | 93840b7c-097b-4acb-a363-fd59862d961a | /mnt/scratch/spatial_soma/source_h5ad/93840b7c-097b-4acb-a363-fd59862d961a.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #16 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/93840b7c-097b-4acb-a363-fd59862d961a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 32070324 | 4992 | 413.36638621794873 | 5.2.0 | 0 | -1 | |
| e28f0c23-7922-4a18-85c5-b2201c06b681 | https://datasets.cellxgene.cziscience.com/a373424b-1476-4603-add4-b4743e6cf506.h5ad | a373424b-1476-4603-add4-b4743e6cf506 | /mnt/scratch/spatial_soma/source_h5ad/a373424b-1476-4603-add4-b4743e6cf506.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #25 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/a373424b-1476-4603-add4-b4743e6cf506.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 36570362 | 4992 | 558.5072115384615 | 5.2.0 | 0 | -1 | |
| dcc7c14c-1617-4d94-9253-6e73a344fcb0 | https://datasets.cellxgene.cziscience.com/e97735ff-24f5-4604-954c-59005d40ebe1.h5ad | e97735ff-24f5-4604-954c-59005d40ebe1 | /mnt/scratch/spatial_soma/source_h5ad/e97735ff-24f5-4604-954c-59005d40ebe1.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #8 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/e97735ff-24f5-4604-954c-59005d40ebe1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 32615078 | 4992 | 727.4246794871794 | 5.2.0 | 0 | -1 | |
| db5ddd64-6a42-4138-89e0-7448fc4fc923 | https://datasets.cellxgene.cziscience.com/25aa9050-1ca4-473a-a9af-d69868432515.h5ad | 25aa9050-1ca4-473a-a9af-d69868432515 | /mnt/scratch/spatial_soma/source_h5ad/25aa9050-1ca4-473a-a9af-d69868432515.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #18 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/25aa9050-1ca4-473a-a9af-d69868432515.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 30465911 | 4992 | 383.40384615384613 | 5.2.0 | 0 | -1 | |
| d06dd93c-d4fc-49bd-8817-057f70680dca | https://datasets.cellxgene.cziscience.com/5f35dfb2-ae4b-411f-94dd-d62ca79b8a57.h5ad | 5f35dfb2-ae4b-411f-94dd-d62ca79b8a57 | /mnt/scratch/spatial_soma/source_h5ad/5f35dfb2-ae4b-411f-94dd-d62ca79b8a57.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #31 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/5f35dfb2-ae4b-411f-94dd-d62ca79b8a57.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 57794881 | 4992 | 538.7710336538462 | 5.2.0 | 0 | -1 | |
| b2130fdc-5a8b-456d-8d71-492d1a656d26 | https://datasets.cellxgene.cziscience.com/00e6855f-1eaf-4038-8a95-0048c2bd87dc.h5ad | 00e6855f-1eaf-4038-8a95-0048c2bd87dc | /mnt/scratch/spatial_soma/source_h5ad/00e6855f-1eaf-4038-8a95-0048c2bd87dc.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #13 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/00e6855f-1eaf-4038-8a95-0048c2bd87dc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 64343401 | 4992 | 581.771233974359 | 5.2.0 | 0 | -1 | |
| ad2f25f0-acc4-4c4e-b796-6c85f8821964 | https://datasets.cellxgene.cziscience.com/941c5003-bd56-45cc-a241-551c5407a274.h5ad | 941c5003-bd56-45cc-a241-551c5407a274 | /mnt/scratch/spatial_soma/source_h5ad/941c5003-bd56-45cc-a241-551c5407a274.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #1 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/941c5003-bd56-45cc-a241-551c5407a274.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 29460611 | 4992 | 500.2852564102564 | 5.2.0 | 0 | -1 | |
| 9fc34171-1273-44b3-8e16-6bea49dfd969 | https://datasets.cellxgene.cziscience.com/d23b1eb5-ff4f-419f-8f6a-b887caf659b2.h5ad | d23b1eb5-ff4f-419f-8f6a-b887caf659b2 | /mnt/scratch/spatial_soma/source_h5ad/d23b1eb5-ff4f-419f-8f6a-b887caf659b2.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #15 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/d23b1eb5-ff4f-419f-8f6a-b887caf659b2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 34640196 | 4992 | 441.03745993589746 | 5.2.0 | 0 | -1 | |
| 980d342b-126d-4724-9e55-96cbcbb7d7fe | https://datasets.cellxgene.cziscience.com/a54e96b5-3694-4193-8535-884f67f0b002.h5ad | a54e96b5-3694-4193-8535-884f67f0b002 | /mnt/scratch/spatial_soma/source_h5ad/a54e96b5-3694-4193-8535-884f67f0b002.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #27 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/a54e96b5-3694-4193-8535-884f67f0b002.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 64836403 | 4992 | 561.1015625 | 5.2.0 | 0 | -1 | |
| 968c9b50-c7e2-40d6-8335-69a6802e06a8 | https://datasets.cellxgene.cziscience.com/8735cd2c-f540-4b6a-84b2-b9d56bcd9d4c.h5ad | 8735cd2c-f540-4b6a-84b2-b9d56bcd9d4c | /mnt/scratch/spatial_soma/source_h5ad/8735cd2c-f540-4b6a-84b2-b9d56bcd9d4c.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #24 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/8735cd2c-f540-4b6a-84b2-b9d56bcd9d4c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 75067268 | 4992 | 858.7688301282051 | 5.2.0 | 0 | -1 | |
| 953bfc7b-2004-4041-8b50-92c31a505bf7 | https://datasets.cellxgene.cziscience.com/70160846-45a0-42f2-bcd4-5ee56141b00c.h5ad | 70160846-45a0-42f2-bcd4-5ee56141b00c | /mnt/scratch/spatial_soma/source_h5ad/70160846-45a0-42f2-bcd4-5ee56141b00c.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #4 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/70160846-45a0-42f2-bcd4-5ee56141b00c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 33211149 | 4992 | 768.4889823717949 | 5.2.0 | 0 | -1 | |
| 5afc26df-9e84-4fc2-96a0-4ce4404af16b | https://datasets.cellxgene.cziscience.com/d7c8dba7-f26a-4877-8549-eee56a56c551.h5ad | d7c8dba7-f26a-4877-8549-eee56a56c551 | /mnt/scratch/spatial_soma/source_h5ad/d7c8dba7-f26a-4877-8549-eee56a56c551.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #14 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/d7c8dba7-f26a-4877-8549-eee56a56c551.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 56465201 | 4992 | 342.46534455128204 | 5.2.0 | 0 | -1 | |
| 59a3e980-ac11-42b5-b2a8-b948509a2154 | https://datasets.cellxgene.cziscience.com/a217deb6-42de-4bbd-8b71-2bd409670ba6.h5ad | a217deb6-42de-4bbd-8b71-2bd409670ba6 | /mnt/scratch/spatial_soma/source_h5ad/a217deb6-42de-4bbd-8b71-2bd409670ba6.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #2 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/a217deb6-42de-4bbd-8b71-2bd409670ba6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 33182092 | 4992 | 696.5761217948718 | 5.2.0 | 0 | -1 | |
| 53ff2250-4434-4f59-9fbb-1a474c21d9c0 | https://datasets.cellxgene.cziscience.com/0497b34f-f13c-4d16-b808-78bdf7711371.h5ad | 0497b34f-f13c-4d16-b808-78bdf7711371 | /mnt/scratch/spatial_soma/source_h5ad/0497b34f-f13c-4d16-b808-78bdf7711371.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #5 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/0497b34f-f13c-4d16-b808-78bdf7711371.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 30479983 | 4992 | 731.885016025641 | 5.2.0 | 0 | -1 | |
| 4b1a2706-7c40-4fe6-a422-be79603e0162 | https://datasets.cellxgene.cziscience.com/9f20cc8f-d7df-41fb-9771-f6eda4791acc.h5ad | 9f20cc8f-d7df-41fb-9771-f6eda4791acc | /mnt/scratch/spatial_soma/source_h5ad/9f20cc8f-d7df-41fb-9771-f6eda4791acc.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #22 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/9f20cc8f-d7df-41fb-9771-f6eda4791acc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 48652240 | 4992 | 291.3529647435897 | 5.2.0 | 0 | -1 | |
| 4825ab17-d48f-4758-9fa8-2a291d7c7324 | https://datasets.cellxgene.cziscience.com/66a12568-be2c-406d-ae73-e4a864a7f5e8.h5ad | 66a12568-be2c-406d-ae73-e4a864a7f5e8 | /mnt/scratch/spatial_soma/source_h5ad/66a12568-be2c-406d-ae73-e4a864a7f5e8.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #3 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/66a12568-be2c-406d-ae73-e4a864a7f5e8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 29492567 | 4992 | 670.3305288461538 | 5.2.0 | 0 | -1 | |
| 3a55b986-2517-4e4b-be24-9c676849fc60 | https://datasets.cellxgene.cziscience.com/75b787d6-08f0-46de-a3f8-e646d2f8e99f.h5ad | 75b787d6-08f0-46de-a3f8-e646d2f8e99f | /mnt/scratch/spatial_soma/source_h5ad/75b787d6-08f0-46de-a3f8-e646d2f8e99f.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #10 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/75b787d6-08f0-46de-a3f8-e646d2f8e99f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 28421147 | 4992 | 308.50460737179486 | 5.2.0 | 0 | -1 | |
| 36a9ccdd-f1a3-4f15-aaad-8eae728cd66c | https://datasets.cellxgene.cziscience.com/fee901ce-87ea-46cd-835a-c15906a4aa6d.h5ad | fee901ce-87ea-46cd-835a-c15906a4aa6d | /mnt/scratch/spatial_soma/source_h5ad/fee901ce-87ea-46cd-835a-c15906a4aa6d.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #7 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/fee901ce-87ea-46cd-835a-c15906a4aa6d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 30049655 | 4992 | 649.8411458333334 | 5.2.0 | 0 | -1 | |
| 344f27ab-428c-4a0e-a7e1-d4441f2f9b80 | https://datasets.cellxgene.cziscience.com/164c4d14-90bb-4cb5-952b-221d23f84b99.h5ad | 164c4d14-90bb-4cb5-952b-221d23f84b99 | /mnt/scratch/spatial_soma/source_h5ad/164c4d14-90bb-4cb5-952b-221d23f84b99.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #30 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/164c4d14-90bb-4cb5-952b-221d23f84b99.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 71076732 | 4992 | 767.8271233974359 | 5.2.0 | 0 | -1 | |
| 2abc33b4-d8df-45b6-bc85-db78f067fe59 | https://datasets.cellxgene.cziscience.com/495822af-84fe-4f1d-9099-abb24923d700.h5ad | 495822af-84fe-4f1d-9099-abb24923d700 | /mnt/scratch/spatial_soma/source_h5ad/495822af-84fe-4f1d-9099-abb24923d700.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #9 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/495822af-84fe-4f1d-9099-abb24923d700.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 34488679 | 4992 | 421.63721955128204 | 5.2.0 | 0 | -1 | |
| 194062ef-cdb9-4fb9-a00d-2478172fdc06 | https://datasets.cellxgene.cziscience.com/8cb4919b-cd71-437b-bff9-0eabd4bee51b.h5ad | 8cb4919b-cd71-437b-bff9-0eabd4bee51b | /mnt/scratch/spatial_soma/source_h5ad/8cb4919b-cd71-437b-bff9-0eabd4bee51b.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #21 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/8cb4919b-cd71-437b-bff9-0eabd4bee51b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 71502162 | 4992 | 599.390625 | 5.2.0 | 0 | -1 | |
| 1218b9f0-4f95-47a0-b69a-847c92087ded | https://datasets.cellxgene.cziscience.com/49157fb3-4cff-44aa-8722-84b180bc7963.h5ad | 49157fb3-4cff-44aa-8722-84b180bc7963 | /mnt/scratch/spatial_soma/source_h5ad/49157fb3-4cff-44aa-8722-84b180bc7963.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #26 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/49157fb3-4cff-44aa-8722-84b180bc7963.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 31547800 | 4992 | 404.9833733974359 | 5.2.0 | 0 | -1 | |
| 0819e386-e7fd-4212-b732-60e468689f89 | https://datasets.cellxgene.cziscience.com/4ef3631b-78ca-4c44-90b3-5c73933331b2.h5ad | 4ef3631b-78ca-4c44-90b3-5c73933331b2 | /mnt/scratch/spatial_soma/source_h5ad/4ef3631b-78ca-4c44-90b3-5c73933331b2.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #6 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/4ef3631b-78ca-4c44-90b3-5c73933331b2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 30226206 | 4992 | 790.0528846153846 | 5.2.0 | 0 | -1 | |
| 00ba8341-48ec-4e4e-bb56-be0dd2dd7913 | https://datasets.cellxgene.cziscience.com/b4f8e778-d8eb-42c1-86f9-c2d8aeb42877.h5ad | b4f8e778-d8eb-42c1-86f9-c2d8aeb42877 | /mnt/scratch/spatial_soma/source_h5ad/b4f8e778-d8eb-42c1-86f9-c2d8aeb42877.h5ad | spRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease - Block #17 | Publication: https://doi.org/10.21203/rs.3.rs-3601404/v2 Dataset Version: https://datasets.cellxgene.cziscience.com/b4f8e778-d8eb-42c1-86f9-c2d8aeb42877.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/21bbfaec-6958-46bc-b1cd-1535752f6304 | 21bbfaec-6958-46bc-b1cd-1535752f6304 | Single cell and spatial transcriptomics in Sjögren’s Disease-affected Human Salivary Glands | 10.21203/rs.3.rs-3601404/v2 | Pranzatelli et al. (2024) Research Square | 25032289 | 4992 | 114.7207532051282 | 5.2.0 | 0 | -1 | |
| f354e4c3-eb53-4917-8476-39a860e30124 | https://datasets.cellxgene.cziscience.com/a535948e-9281-4ab5-9aa1-26c1490154f3.h5ad | a535948e-9281-4ab5-9aa1-26c1490154f3 | /mnt/scratch/spatial_soma/source_h5ad/a535948e-9281-4ab5-9aa1-26c1490154f3.h5ad | 1142243F | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/a535948e-9281-4ab5-9aa1-26c1490154f3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 1855115036 | 4992 | 2732.1726762820513 | 5.2.0 | 0 | -1 | |
| aafb780d-f52d-4285-a1f4-57376cabe1ee | https://datasets.cellxgene.cziscience.com/5f12d182-dd50-4ae1-8852-aa15cd524314.h5ad | 5f12d182-dd50-4ae1-8852-aa15cd524314 | /mnt/scratch/spatial_soma/source_h5ad/5f12d182-dd50-4ae1-8852-aa15cd524314.h5ad | CID4290 | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/5f12d182-dd50-4ae1-8852-aa15cd524314.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 239419897 | 4992 | 1932.661858974359 | 5.2.0 | 0 | -1 | |
| a6b0f655-820c-4082-98e2-42f33c2a71a7 | https://datasets.cellxgene.cziscience.com/1293e631-bd9f-4f8f-b129-24e1024d3b91.h5ad | 1293e631-bd9f-4f8f-b129-24e1024d3b91 | /mnt/scratch/spatial_soma/source_h5ad/1293e631-bd9f-4f8f-b129-24e1024d3b91.h5ad | CID44971 | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/1293e631-bd9f-4f8f-b129-24e1024d3b91.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 214732034 | 4992 | 1567.953325320513 | 5.2.0 | 0 | -1 | |
| 80466231-7133-4097-88ae-40cb6cce1a33 | https://datasets.cellxgene.cziscience.com/4dd46223-8dd7-4d67-a442-bb7cbd13a573.h5ad | 4dd46223-8dd7-4d67-a442-bb7cbd13a573 | /mnt/scratch/spatial_soma/source_h5ad/4dd46223-8dd7-4d67-a442-bb7cbd13a573.h5ad | CID4465 | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/4dd46223-8dd7-4d67-a442-bb7cbd13a573.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 214287998 | 4992 | 1929.9447115384614 | 5.2.0 | 0 | -1 | |
| 6f0858c0-c590-4740-b022-c152e7608d66 | https://datasets.cellxgene.cziscience.com/6714e427-ece9-41de-991c-285c808d88be.h5ad | 6714e427-ece9-41de-991c-285c808d88be | /mnt/scratch/spatial_soma/source_h5ad/6714e427-ece9-41de-991c-285c808d88be.h5ad | CID4535 | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/6714e427-ece9-41de-991c-285c808d88be.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 216466125 | 4992 | 1814.526642628205 | 5.2.0 | 0 | -1 | |
| 24dbd26d-1a3a-4a0c-a4e9-3d95f373217f | https://datasets.cellxgene.cziscience.com/803deeea-fc66-4a0b-8067-0e288a836378.h5ad | 803deeea-fc66-4a0b-8067-0e288a836378 | /mnt/scratch/spatial_soma/source_h5ad/803deeea-fc66-4a0b-8067-0e288a836378.h5ad | 1160920F | Publication: https://doi.org/10.1038/s41588-021-00911-1 Dataset Version: https://datasets.cellxgene.cziscience.com/803deeea-fc66-4a0b-8067-0e288a836378.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/dea97145-f712-431c-a223-6b5f565f362a | dea97145-f712-431c-a223-6b5f565f362a | A single-cell and spatially resolved atlas of human breast cancers | 10.1038/s41588-021-00911-1 | Wu et al. (2021) Nat Genet | 1837420666 | 4992 | 3488.0072115384614 | 5.2.0 | 0 | -1 | |
| f7af19e4-fc64-46d0-ab3c-d4f70dd670f4 | https://datasets.cellxgene.cziscience.com/61553af8-1db2-49c3-bac4-b7f5676db24f.h5ad | 61553af8-1db2-49c3-bac4-b7f5676db24f | /mnt/scratch/spatial_soma/source_h5ad/61553af8-1db2-49c3-bac4-b7f5676db24f.h5ad | S7_Rec/Sig A798015 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/61553af8-1db2-49c3-bac4-b7f5676db24f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 28036894 | 4992 | 1736.8842147435898 | 5.2.0 | 0 | -1 | |
| c0d43178-d368-4381-aecb-4e63c553d1fa | https://datasets.cellxgene.cziscience.com/ca636b88-6741-4212-a3ce-3cf320fce840.h5ad | ca636b88-6741-4212-a3ce-3cf320fce840 | /mnt/scratch/spatial_soma/source_h5ad/ca636b88-6741-4212-a3ce-3cf320fce840.h5ad | S5_Rec A121573 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/ca636b88-6741-4212-a3ce-3cf320fce840.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 47752521 | 4992 | 3390.903846153846 | 5.2.0 | 0 | -1 | |
| b5753bee-dae1-4fa6-80c0-e78faa77b0aa | https://datasets.cellxgene.cziscience.com/754330ea-8b34-447f-8e29-a73020b067a1.h5ad | 754330ea-8b34-447f-8e29-a73020b067a1 | /mnt/scratch/spatial_soma/source_h5ad/754330ea-8b34-447f-8e29-a73020b067a1.h5ad | S1_Cec A551763 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/754330ea-8b34-447f-8e29-a73020b067a1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 28288964 | 4992 | 1898.304487179487 | 5.2.0 | 0 | -1 | |
| a73f7983-c94b-4005-aaed-30d35b61688a | https://datasets.cellxgene.cziscience.com/e4687beb-0f9c-42b8-a04d-57240d31af12.h5ad | e4687beb-0f9c-42b8-a04d-57240d31af12 | /mnt/scratch/spatial_soma/source_h5ad/e4687beb-0f9c-42b8-a04d-57240d31af12.h5ad | S1_Cec A551763 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/e4687beb-0f9c-42b8-a04d-57240d31af12.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 24901470 | 4992 | 1512.6668669871794 | 5.2.0 | 0 | -1 | |
| 879bb6df-cc2a-40f1-854b-5be9629d03b2 | https://datasets.cellxgene.cziscience.com/f62a3800-0e7b-4646-bce9-1d2b408a7e09.h5ad | f62a3800-0e7b-4646-bce9-1d2b408a7e09 | /mnt/scratch/spatial_soma/source_h5ad/f62a3800-0e7b-4646-bce9-1d2b408a7e09.h5ad | S2_Col_R A595688 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/f62a3800-0e7b-4646-bce9-1d2b408a7e09.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 33720535 | 4992 | 2288.7125400641025 | 5.2.0 | 0 | -1 | |
| 7fe57023-bbcf-4254-9aa4-bd2abf7d83ad | https://datasets.cellxgene.cziscience.com/58854f12-ddd4-468e-932f-d19f7b7cb8c0.h5ad | 58854f12-ddd4-468e-932f-d19f7b7cb8c0 | /mnt/scratch/spatial_soma/source_h5ad/58854f12-ddd4-468e-932f-d19f7b7cb8c0.h5ad | S2_Col_R A595688 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/58854f12-ddd4-468e-932f-d19f7b7cb8c0.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 22667205 | 4992 | 1397.4897836538462 | 5.2.0 | 0 | -1 | |
| 7ba1a805-0afe-4264-b21e-0ce2ef1aa3bd | https://datasets.cellxgene.cziscience.com/7a80fa26-3a68-4268-b2a6-baa057c8b9cc.h5ad | 7a80fa26-3a68-4268-b2a6-baa057c8b9cc | /mnt/scratch/spatial_soma/source_h5ad/7a80fa26-3a68-4268-b2a6-baa057c8b9cc.h5ad | S6_Rec A938797 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/7a80fa26-3a68-4268-b2a6-baa057c8b9cc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 34592003 | 4992 | 2258.6326121794873 | 5.2.0 | 0 | -1 | |
| 74e80fd1-d9cd-4132-af0f-9c5d37489392 | https://datasets.cellxgene.cziscience.com/595f5e48-78c6-49c7-ba4a-b1dcc9d90c60.h5ad | 595f5e48-78c6-49c7-ba4a-b1dcc9d90c60 | /mnt/scratch/spatial_soma/source_h5ad/595f5e48-78c6-49c7-ba4a-b1dcc9d90c60.h5ad | S4_Col_Sig A120838 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/595f5e48-78c6-49c7-ba4a-b1dcc9d90c60.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 30390286 | 4992 | 2067.6824919871797 | 5.2.0 | 0 | -1 | |
| 729f397a-0812-4b52-a7d1-b377107ffb41 | https://datasets.cellxgene.cziscience.com/e2c87883-9c41-4c16-88aa-f27d871fe414.h5ad | e2c87883-9c41-4c16-88aa-f27d871fe414 | /mnt/scratch/spatial_soma/source_h5ad/e2c87883-9c41-4c16-88aa-f27d871fe414.h5ad | S3_Col_R A416371 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/e2c87883-9c41-4c16-88aa-f27d871fe414.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 48332442 | 4992 | 3504.175080128205 | 5.2.0 | 0 | -1 | |
| 2d821164-4681-47dd-b2ac-eb5fddb5b621 | https://datasets.cellxgene.cziscience.com/e944a0f7-e398-4e8f-a060-94dae8a08fb3.h5ad | e944a0f7-e398-4e8f-a060-94dae8a08fb3 | /mnt/scratch/spatial_soma/source_h5ad/e944a0f7-e398-4e8f-a060-94dae8a08fb3.h5ad | S5_Rec A121573 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/e944a0f7-e398-4e8f-a060-94dae8a08fb3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 45876219 | 4992 | 3235.3701923076924 | 5.2.0 | 0 | -1 | |
| 297b5b89-6197-4135-acff-501c8d4199d0 | https://datasets.cellxgene.cziscience.com/ca15a122-57cc-448f-8bc5-57de4e885903.h5ad | ca15a122-57cc-448f-8bc5-57de4e885903 | /mnt/scratch/spatial_soma/source_h5ad/ca15a122-57cc-448f-8bc5-57de4e885903.h5ad | S7_Rec/Sig A798015 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/ca15a122-57cc-448f-8bc5-57de4e885903.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 32025829 | 4992 | 2101.43890224359 | 5.2.0 | 0 | -1 | |
| 2916b663-5fe0-4a53-a2da-f6875214e3e6 | https://datasets.cellxgene.cziscience.com/4440f121-526b-4b82-8e34-306797ed0180.h5ad | 4440f121-526b-4b82-8e34-306797ed0180 | /mnt/scratch/spatial_soma/source_h5ad/4440f121-526b-4b82-8e34-306797ed0180.h5ad | S4_Col_Sig A120838 Rep1 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/4440f121-526b-4b82-8e34-306797ed0180.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 21993747 | 4992 | 1390.8377403846155 | 5.2.0 | 0 | -1 | |
| 1e191a00-65da-4170-b9b7-eb94359d7de4 | https://datasets.cellxgene.cziscience.com/ab21e9c2-5a2d-441a-bc10-6ae796986672.h5ad | ab21e9c2-5a2d-441a-bc10-6ae796986672 | /mnt/scratch/spatial_soma/source_h5ad/ab21e9c2-5a2d-441a-bc10-6ae796986672.h5ad | S3_Col_R A416371 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/ab21e9c2-5a2d-441a-bc10-6ae796986672.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 41792203 | 4992 | 2942.809094551282 | 5.2.0 | 0 | -1 | |
| 15b98664-a52b-4877-aed9-03f4d73d2d2c | https://datasets.cellxgene.cziscience.com/832d5d7c-2385-41bc-9438-9c96267415a2.h5ad | 832d5d7c-2385-41bc-9438-9c96267415a2 | /mnt/scratch/spatial_soma/source_h5ad/832d5d7c-2385-41bc-9438-9c96267415a2.h5ad | S6_Rec A938797 Rep2 | Publication: https://doi.org/10.1038/s41698-023-00488-4 Dataset Version: https://datasets.cellxgene.cziscience.com/832d5d7c-2385-41bc-9438-9c96267415a2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/68cba939-4e72-4405-80ef-512a05044fba | 68cba939-4e72-4405-80ef-512a05044fba | Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics | 10.1038/s41698-023-00488-4 | Valdeolivas et al. (2024) npj Precis. Onc. | 44905241 | 4992 | 3263.5070112179487 | 5.2.0 | 0 | -1 | |
| e2811f45-81cc-4819-aee0-dbaa6b3bb52c | https://datasets.cellxgene.cziscience.com/b1cf4429-9949-4c31-b8df-a4019265aa1d.h5ad | b1cf4429-9949-4c31-b8df-a4019265aa1d | /mnt/scratch/spatial_soma/source_h5ad/b1cf4429-9949-4c31-b8df-a4019265aa1d.h5ad | 4B_Hh.anti_IL10r | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/b1cf4429-9949-4c31-b8df-a4019265aa1d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 89351139 | 4992 | 3558.685296474359 | 5.2.0 | 0 | -1 | |
| b5c3a60d-1a81-4be9-abf4-070c5630e73c | https://datasets.cellxgene.cziscience.com/15e635ae-5896-42bd-a96e-9f57d9ac5bdf.h5ad | 15e635ae-5896-42bd-a96e-9f57d9ac5bdf | /mnt/scratch/spatial_soma/source_h5ad/15e635ae-5896-42bd-a96e-9f57d9ac5bdf.h5ad | 2B_Hh.anti_IL10r | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/15e635ae-5896-42bd-a96e-9f57d9ac5bdf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 744107589 | 4992 | 2719.224358974359 | 5.2.0 | 0 | -1 | |
| ab682d61-79b8-4d66-ae9e-aab154e55aad | https://datasets.cellxgene.cziscience.com/9d7377cf-174e-43e9-b7e4-ccbc26d3c49e.h5ad | 9d7377cf-174e-43e9-b7e4-ccbc26d3c49e | /mnt/scratch/spatial_soma/source_h5ad/9d7377cf-174e-43e9-b7e4-ccbc26d3c49e.h5ad | 3A_Hh | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/9d7377cf-174e-43e9-b7e4-ccbc26d3c49e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 81511598 | 4992 | 3577.562099358974 | 5.2.0 | 0 | -1 | |
| 7bb14472-12fa-46e4-a822-1b6eedcc8ffa | https://datasets.cellxgene.cziscience.com/82ff1a84-1f70-4e40-af8b-bcb7ad3746a7.h5ad | 82ff1a84-1f70-4e40-af8b-bcb7ad3746a7 | /mnt/scratch/spatial_soma/source_h5ad/82ff1a84-1f70-4e40-af8b-bcb7ad3746a7.h5ad | 1B_Hh.anti_IL10r | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/82ff1a84-1f70-4e40-af8b-bcb7ad3746a7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 721304383 | 4992 | 2024.832532051282 | 5.2.0 | 0 | -1 | |
| 227b0f38-7a6a-4a93-9d2e-d00b3e416a42 | https://datasets.cellxgene.cziscience.com/c8293177-6e6d-4f04-8ea8-6925e3cedb5c.h5ad | c8293177-6e6d-4f04-8ea8-6925e3cedb5c | /mnt/scratch/spatial_soma/source_h5ad/c8293177-6e6d-4f04-8ea8-6925e3cedb5c.h5ad | 4A_Hh | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/c8293177-6e6d-4f04-8ea8-6925e3cedb5c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 90504844 | 4992 | 3869.6983173076924 | 5.2.0 | 0 | -1 | |
| 18f66a91-fe76-4bd6-aa46-5ab39ded35a0 | https://datasets.cellxgene.cziscience.com/2c97934c-a375-4d1e-b5f4-ede60ae33b64.h5ad | 2c97934c-a375-4d1e-b5f4-ede60ae33b64 | /mnt/scratch/spatial_soma/source_h5ad/2c97934c-a375-4d1e-b5f4-ede60ae33b64.h5ad | 2A_Hh | Publication: https://doi.org/10.1038/s41586-024-07251-0 Dataset Version: https://datasets.cellxgene.cziscience.com/2c97934c-a375-4d1e-b5f4-ede60ae33b64.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fa07e63-f712-4d8c-b885-2c515b5e2743 | 4fa07e63-f712-4d8c-b885-2c515b5e2743 | Immune microniches shape intestinal Treg function | 10.1038/s41586-024-07251-0 | Gu et al. (2024) Nature | 622668708 | 4992 | 4362.958533653846 | 5.2.0 | 0 | -1 | |
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| 69d2ee89-95b1-40af-bfba-5741a1e79c52 | https://datasets.cellxgene.cziscience.com/349b3537-c17c-4c6c-873e-441ccf0169aa.h5ad | 349b3537-c17c-4c6c-873e-441ccf0169aa | /mnt/scratch/spatial_soma/source_h5ad/349b3537-c17c-4c6c-873e-441ccf0169aa.h5ad | PCW7.0 WSSS_THYst9699524 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/349b3537-c17c-4c6c-873e-441ccf0169aa.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 233780383 | 4992 | 1308.3173076923076 | 5.2.0 | 0 | -1 | |
| 613e528c-0c6a-4b5d-a269-5bdbafa8794a | https://datasets.cellxgene.cziscience.com/5a26422b-5766-44e6-a74f-163bbb502342.h5ad | 5a26422b-5766-44e6-a74f-163bbb502342 | /mnt/scratch/spatial_soma/source_h5ad/5a26422b-5766-44e6-a74f-163bbb502342.h5ad | PCW7.0 WSSS_THYst9699523 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/5a26422b-5766-44e6-a74f-163bbb502342.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 218781005 | 4992 | 1381.346955128205 | 5.2.0 | 0 | -1 | |
| 54801477-ac3e-47e3-8170-96c5b40d5c10 | https://datasets.cellxgene.cziscience.com/0f1e7119-0e24-49e3-9284-c711ace33334.h5ad | 0f1e7119-0e24-49e3-9284-c711ace33334 | /mnt/scratch/spatial_soma/source_h5ad/0f1e7119-0e24-49e3-9284-c711ace33334.h5ad | PCW8.1 WSSS_THYst9383362 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/0f1e7119-0e24-49e3-9284-c711ace33334.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 274920373 | 4992 | 884.0574919871794 | 5.2.0 | 0 | -1 | |
| 2c439dce-5aaf-4470-9dae-50ecfbc86e37 | https://datasets.cellxgene.cziscience.com/9fc9ab5c-7f4b-4cb6-b36c-31745def3cf7.h5ad | 9fc9ab5c-7f4b-4cb6-b36c-31745def3cf7 | /mnt/scratch/spatial_soma/source_h5ad/9fc9ab5c-7f4b-4cb6-b36c-31745def3cf7.h5ad | PCW8.1 WSSS_THYst9383360 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/9fc9ab5c-7f4b-4cb6-b36c-31745def3cf7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 245616878 | 4992 | 908.5270432692307 | 5.2.0 | 0 | -1 | |
| 254ecc3e-57cd-4f1e-8bdf-1b682cc2d309 | https://datasets.cellxgene.cziscience.com/c7ae9413-f41f-42bc-9e2a-68d46ad80e1b.h5ad | c7ae9413-f41f-42bc-9e2a-68d46ad80e1b | /mnt/scratch/spatial_soma/source_h5ad/c7ae9413-f41f-42bc-9e2a-68d46ad80e1b.h5ad | PCW8.1 WSSS_THYst9383359 | Publication: https://doi.org/10.1038/s41586-023-06806-x Dataset Version: https://datasets.cellxgene.cziscience.com/c7ae9413-f41f-42bc-9e2a-68d46ad80e1b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4fefa187-5d14-4f1e-915b-c892ed320aab | 4fefa187-5d14-4f1e-915b-c892ed320aab | A human embryonic limb cell atlas resolved in space and time | 10.1038/s41586-023-06806-x | Zhang et al. (2023) Nature | 222786633 | 4992 | 863.8671875 | 5.2.0 | 0 | -1 | |
| 95e1779d-25d6-4274-bf2b-7db1f4380c0c | https://datasets.cellxgene.cziscience.com/c9859d31-4fe3-4169-8bc8-44336a93ce32.h5ad | c9859d31-4fe3-4169-8bc8-44336a93ce32 | /mnt/scratch/spatial_soma/source_h5ad/c9859d31-4fe3-4169-8bc8-44336a93ce32.h5ad | RZ_P6 (ACH0021)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/c9859d31-4fe3-4169-8bc8-44336a93ce32.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 169201414 | 4992 | 1080.1346153846155 | 5.2.0 | 0 | -1 | |
| f25a532c-faf6-4d65-9dac-47d6369508f6 | https://datasets.cellxgene.cziscience.com/2adde7e3-a34c-4888-888f-c66ca7ef460a.h5ad | 2adde7e3-a34c-4888-888f-c66ca7ef460a | /mnt/scratch/spatial_soma/source_h5ad/2adde7e3-a34c-4888-888f-c66ca7ef460a.h5ad | 6800STDY12499504 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/2adde7e3-a34c-4888-888f-c66ca7ef460a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 174054779 | 4992 | 474.90184294871796 | 5.2.0 | 0 | -1 | |
| c5ac3ec2-24b0-43cc-9aab-bb0ebbe205ce | https://datasets.cellxgene.cziscience.com/bd0f4c2f-789e-45ae-81c0-42ba0564ea75.h5ad | bd0f4c2f-789e-45ae-81c0-42ba0564ea75 | /mnt/scratch/spatial_soma/source_h5ad/bd0f4c2f-789e-45ae-81c0-42ba0564ea75.h5ad | 6800STDY12499507 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/bd0f4c2f-789e-45ae-81c0-42ba0564ea75.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 159694895 | 4992 | 1133.588141025641 | 5.2.0 | 0 | -1 | |
| c3f74413-9faa-43b5-93af-601c5af4acc8 | https://datasets.cellxgene.cziscience.com/72843b77-4ff1-419f-9920-4d2f83c5b8ed.h5ad | 72843b77-4ff1-419f-9920-4d2f83c5b8ed | /mnt/scratch/spatial_soma/source_h5ad/72843b77-4ff1-419f-9920-4d2f83c5b8ed.h5ad | 6800STDY12499407 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/72843b77-4ff1-419f-9920-4d2f83c5b8ed.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 145763248 | 4992 | 936.6951121794872 | 5.2.0 | 0 | -1 | |
| a6046b15-a095-43b0-9fb5-b36899d87fdb | https://datasets.cellxgene.cziscience.com/6bbbabf5-1574-4a54-aca0-2232f060aa78.h5ad | 6bbbabf5-1574-4a54-aca0-2232f060aa78 | /mnt/scratch/spatial_soma/source_h5ad/6bbbabf5-1574-4a54-aca0-2232f060aa78.h5ad | 6800STDY12499410 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/6bbbabf5-1574-4a54-aca0-2232f060aa78.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 200241643 | 4992 | 1716.3275240384614 | 5.2.0 | 0 | -1 | |
| a45125aa-7641-4bca-bca5-6d652e027d6f | https://datasets.cellxgene.cziscience.com/e9e3f687-9fac-4787-b5ec-65d4705d97d2.h5ad | e9e3f687-9fac-4787-b5ec-65d4705d97d2 | /mnt/scratch/spatial_soma/source_h5ad/e9e3f687-9fac-4787-b5ec-65d4705d97d2.h5ad | 6800STDY12499413 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/e9e3f687-9fac-4787-b5ec-65d4705d97d2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 168961285 | 4992 | 741.5044070512821 | 5.2.0 | 0 | -1 | |
| 81328f3f-31d4-47e3-9eae-e07512026ce1 | https://datasets.cellxgene.cziscience.com/aae49bb1-9dc3-4dd7-88a5-7c6cf7f17948.h5ad | aae49bb1-9dc3-4dd7-88a5-7c6cf7f17948 | /mnt/scratch/spatial_soma/source_h5ad/aae49bb1-9dc3-4dd7-88a5-7c6cf7f17948.h5ad | 6800STDY12499509 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/aae49bb1-9dc3-4dd7-88a5-7c6cf7f17948.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 168603152 | 4992 | 811.3639823717949 | 5.2.0 | 0 | -1 | |
| 75548d10-160d-4f3e-b317-99ad9630c62d | https://datasets.cellxgene.cziscience.com/713ae1ce-736b-49c6-bd62-7dd6ba866432.h5ad | 713ae1ce-736b-49c6-bd62-7dd6ba866432 | /mnt/scratch/spatial_soma/source_h5ad/713ae1ce-736b-49c6-bd62-7dd6ba866432.h5ad | 6800STDY12499506 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/713ae1ce-736b-49c6-bd62-7dd6ba866432.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 154206788 | 4992 | 947.6029647435897 | 5.2.0 | 0 | -1 | |
| 60ac2657-f325-46c7-817b-55bdab803105 | https://datasets.cellxgene.cziscience.com/352881b0-bdc9-4b93-9765-f67742347736.h5ad | 352881b0-bdc9-4b93-9765-f67742347736 | /mnt/scratch/spatial_soma/source_h5ad/352881b0-bdc9-4b93-9765-f67742347736.h5ad | 6800STDY12499409 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/352881b0-bdc9-4b93-9765-f67742347736.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 172413137 | 4992 | 929.2177483974359 | 5.2.0 | 0 | -1 | |
| 53d62b10-bae5-48ac-b16e-71be9ba6de59 | https://datasets.cellxgene.cziscience.com/2207a4c7-a22e-4437-a768-246468f76541.h5ad | 2207a4c7-a22e-4437-a768-246468f76541 | /mnt/scratch/spatial_soma/source_h5ad/2207a4c7-a22e-4437-a768-246468f76541.h5ad | 6800STDY12499502 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/2207a4c7-a22e-4437-a768-246468f76541.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 187485987 | 4992 | 708.1157852564103 | 5.2.0 | 0 | -1 | |
| 30437616-4939-40e0-83da-4cae8186d452 | https://datasets.cellxgene.cziscience.com/2d2f451d-4b2f-4d89-9b86-9b091c779c54.h5ad | 2d2f451d-4b2f-4d89-9b86-9b091c779c54 | /mnt/scratch/spatial_soma/source_h5ad/2d2f451d-4b2f-4d89-9b86-9b091c779c54.h5ad | 6800STDY12499503 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/2d2f451d-4b2f-4d89-9b86-9b091c779c54.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 181082786 | 4992 | 1026.2592147435898 | 5.2.0 | 0 | -1 | |
| 27cd5ac9-80ba-43f3-bb60-740593dabdd0 | https://datasets.cellxgene.cziscience.com/7cbda077-8b97-4191-89ce-12a85bfd0023.h5ad | 7cbda077-8b97-4191-89ce-12a85bfd0023 | /mnt/scratch/spatial_soma/source_h5ad/7cbda077-8b97-4191-89ce-12a85bfd0023.h5ad | 6800STDY12499505 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/7cbda077-8b97-4191-89ce-12a85bfd0023.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 171042416 | 4992 | 475.65564903846155 | 5.2.0 | 0 | -1 | |
| 252438d3-8143-48a9-9ac2-ef5991fb21b8 | https://datasets.cellxgene.cziscience.com/07ba9581-396c-4f54-b5a8-92286a2bdfd9.h5ad | 07ba9581-396c-4f54-b5a8-92286a2bdfd9 | /mnt/scratch/spatial_soma/source_h5ad/07ba9581-396c-4f54-b5a8-92286a2bdfd9.h5ad | 6800STDY12499408 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/07ba9581-396c-4f54-b5a8-92286a2bdfd9.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 235311631 | 4992 | 1626.4124599358975 | 5.2.0 | 0 | -1 | |
| 24c31c8c-5f6f-4f13-9f7b-abbedcdcd45f | https://datasets.cellxgene.cziscience.com/a0eef4e3-8d53-4128-a9f3-109326dbe5ef.h5ad | a0eef4e3-8d53-4128-a9f3-109326dbe5ef | /mnt/scratch/spatial_soma/source_h5ad/a0eef4e3-8d53-4128-a9f3-109326dbe5ef.h5ad | 6800STDY12499412 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/a0eef4e3-8d53-4128-a9f3-109326dbe5ef.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 145782695 | 4992 | 1199.1346153846155 | 5.2.0 | 0 | -1 | |
| 104cfa2a-8f7e-4dcc-a0a3-8fd46711c904 | https://datasets.cellxgene.cziscience.com/0fa3c093-1459-4bd7-91a9-3b64758aa745.h5ad | 0fa3c093-1459-4bd7-91a9-3b64758aa745 | /mnt/scratch/spatial_soma/source_h5ad/0fa3c093-1459-4bd7-91a9-3b64758aa745.h5ad | 6800STDY12499508 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/0fa3c093-1459-4bd7-91a9-3b64758aa745.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 173232426 | 4992 | 1152.7974759615386 | 5.2.0 | 0 | -1 | |
| 0671c0d4-f233-4cd3-a0d6-9a6b747bdd98 | https://datasets.cellxgene.cziscience.com/8e088e30-cb0e-4675-9782-f6d8c4a13152.h5ad | 8e088e30-cb0e-4675-9782-f6d8c4a13152 | /mnt/scratch/spatial_soma/source_h5ad/8e088e30-cb0e-4675-9782-f6d8c4a13152.h5ad | 6800STDY12499406 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/8e088e30-cb0e-4675-9782-f6d8c4a13152.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 209739234 | 4992 | 847.450921474359 | 5.2.0 | 0 | -1 | |
| 05f813a4-fc9e-4143-bba9-de93bdd8eece | https://datasets.cellxgene.cziscience.com/73d5fe18-3504-4c95-a2a0-0558ead645ec.h5ad | 73d5fe18-3504-4c95-a2a0-0558ead645ec | /mnt/scratch/spatial_soma/source_h5ad/73d5fe18-3504-4c95-a2a0-0558ead645ec.h5ad | 6800STDY12499411 | Publication: https://doi.org/10.1016/j.ccell.2022.11.001 Dataset Version: https://datasets.cellxgene.cziscience.com/73d5fe18-3504-4c95-a2a0-0558ead645ec.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/f7cecffa-00b4-4560-a29a-8ad626b8ee08 | f7cecffa-00b4-4560-a29a-8ad626b8ee08 | Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer | 10.1016/j.ccell.2022.11.001 | Li et al. (2022) Cancer Cell | 172749539 | 4992 | 1689.128205128205 | 5.2.0 | 0 | -1 | |
| f0973891-a40d-4a57-841a-8c5facd3a546 | https://datasets.cellxgene.cziscience.com/fe48b801-b63b-4ed8-9ebe-095102890afb.h5ad | fe48b801-b63b-4ed8-9ebe-095102890afb | /mnt/scratch/spatial_soma/source_h5ad/fe48b801-b63b-4ed8-9ebe-095102890afb.h5ad | Visium spatial - body_inguinal_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/fe48b801-b63b-4ed8-9ebe-095102890afb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 462824515 | 4992 | 633.3719951923077 | 5.2.0 | 0 | -1 | |
| ef9a2058-513b-44f7-9057-06c0df86f2a3 | https://datasets.cellxgene.cziscience.com/4a316aa4-9dc7-4445-9a7a-2f85c09eca2a.h5ad | 4a316aa4-9dc7-4445-9a7a-2f85c09eca2a | /mnt/scratch/spatial_soma/source_h5ad/4a316aa4-9dc7-4445-9a7a-2f85c09eca2a.h5ad | Visium spatial - bcc_face_forehead_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/4a316aa4-9dc7-4445-9a7a-2f85c09eca2a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 154847258 | 4992 | 1603.3525641025642 | 5.2.0 | 0 | -1 | |
| dee75ca4-8348-471e-bbeb-e2143209e3d0 | https://datasets.cellxgene.cziscience.com/67a3e38c-5185-434f-8d67-54ee8ef14a2f.h5ad | 67a3e38c-5185-434f-8d67-54ee8ef14a2f | /mnt/scratch/spatial_soma/source_h5ad/67a3e38c-5185-434f-8d67-54ee8ef14a2f.h5ad | Visium spatial - face_forehead_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/67a3e38c-5185-434f-8d67-54ee8ef14a2f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 121866923 | 4992 | 571.3719951923077 | 5.2.0 | 0 | -1 | |
| dce10ba0-1548-4f2f-9959-77d1090bf196 | https://datasets.cellxgene.cziscience.com/b5d858f4-9357-4d72-8b7b-357365b73e08.h5ad | b5d858f4-9357-4d72-8b7b-357365b73e08 | /mnt/scratch/spatial_soma/source_h5ad/b5d858f4-9357-4d72-8b7b-357365b73e08.h5ad | Visium spatial - face_temple_B_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/b5d858f4-9357-4d72-8b7b-357365b73e08.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 164247707 | 4992 | 898.6834935897435 | 5.2.0 | 0 | -1 | |
| da22c90e-3db0-449a-b926-94410031b1d1 | https://datasets.cellxgene.cziscience.com/61a24ea7-ed5e-4346-9679-dba78b7160ec.h5ad | 61a24ea7-ed5e-4346-9679-dba78b7160ec | /mnt/scratch/spatial_soma/source_h5ad/61a24ea7-ed5e-4346-9679-dba78b7160ec.h5ad | Visium spatial - face_glabella_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/61a24ea7-ed5e-4346-9679-dba78b7160ec.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 184838569 | 4992 | 1421.2994791666667 | 5.2.0 | 0 | -1 | |
| d7d70622-5dd8-4eae-8a6c-5036e78c48d1 | https://datasets.cellxgene.cziscience.com/0d4335e7-6a55-41d5-b3e6-0cbcb83e8703.h5ad | 0d4335e7-6a55-41d5-b3e6-0cbcb83e8703 | /mnt/scratch/spatial_soma/source_h5ad/0d4335e7-6a55-41d5-b3e6-0cbcb83e8703.h5ad | Visium spatial - bcc_face_cheek_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/0d4335e7-6a55-41d5-b3e6-0cbcb83e8703.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 253422138 | 4992 | 2290.1033653846152 | 5.2.0 | 0 | -1 | |
| d465e08b-b391-425f-9f15-bd3eff4681f7 | https://datasets.cellxgene.cziscience.com/433c545d-6e7e-4590-9efd-cba9d7674765.h5ad | 433c545d-6e7e-4590-9efd-cba9d7674765 | /mnt/scratch/spatial_soma/source_h5ad/433c545d-6e7e-4590-9efd-cba9d7674765.h5ad | Visium spatial - bcc_face_forehead_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/433c545d-6e7e-4590-9efd-cba9d7674765.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 147281295 | 4992 | 1534.2574118589744 | 5.2.0 | 0 | -1 | |
| c68e6ac8-c4d8-4869-ba08-9d157e4c06f8 | https://datasets.cellxgene.cziscience.com/22d34cde-87e7-4226-ace7-5eb3b85d54b4.h5ad | 22d34cde-87e7-4226-ace7-5eb3b85d54b4 | /mnt/scratch/spatial_soma/source_h5ad/22d34cde-87e7-4226-ace7-5eb3b85d54b4.h5ad | Visium spatial - face_temple1b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/22d34cde-87e7-4226-ace7-5eb3b85d54b4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 105467911 | 4992 | 767.5350560897435 | 5.2.0 | 0 | -1 | |
| b336b422-91ca-42b2-81a2-5c5a20ceefd7 | https://datasets.cellxgene.cziscience.com/567089d4-fcd0-43ed-9bbc-9a1c054f0289.h5ad | 567089d4-fcd0-43ed-9bbc-9a1c054f0289 | /mnt/scratch/spatial_soma/source_h5ad/567089d4-fcd0-43ed-9bbc-9a1c054f0289.h5ad | Visium spatial - body_thigh_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/567089d4-fcd0-43ed-9bbc-9a1c054f0289.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 443693797 | 4992 | 670.3421474358975 | 5.2.0 | 0 | -1 | |
| a7059a06-16ff-462f-a3ec-938054a81479 | https://datasets.cellxgene.cziscience.com/ca98ca95-d8f4-425e-835e-332cb4791308.h5ad | ca98ca95-d8f4-425e-835e-332cb4791308 | /mnt/scratch/spatial_soma/source_h5ad/ca98ca95-d8f4-425e-835e-332cb4791308.h5ad | Visium spatial - body_back_A_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/ca98ca95-d8f4-425e-835e-332cb4791308.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 278144043 | 4992 | 728.9503205128206 | 5.2.0 | 0 | -1 | |
| 9acc2ac1-6acf-4ad3-a8c1-8bffff235e16 | https://datasets.cellxgene.cziscience.com/6e9fd9e5-ec97-4ee8-9165-58d32f00e787.h5ad | 6e9fd9e5-ec97-4ee8-9165-58d32f00e787 | /mnt/scratch/spatial_soma/source_h5ad/6e9fd9e5-ec97-4ee8-9165-58d32f00e787.h5ad | Visium spatial - face_scalp_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/6e9fd9e5-ec97-4ee8-9165-58d32f00e787.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 168069915 | 4992 | 1020.5496794871794 | 5.2.0 | 0 | -1 | |
| 8f8821bf-6033-49fd-b638-44e0a18f4bf8 | https://datasets.cellxgene.cziscience.com/e0ce907d-60ac-4cfc-8549-8995c2f9ae62.h5ad | e0ce907d-60ac-4cfc-8549-8995c2f9ae62 | /mnt/scratch/spatial_soma/source_h5ad/e0ce907d-60ac-4cfc-8549-8995c2f9ae62.h5ad | Visium spatial - face_forehead_A_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/e0ce907d-60ac-4cfc-8549-8995c2f9ae62.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 239742833 | 4992 | 1303.9711538461538 | 5.2.0 | 0 | -1 | |
| 838d7116-78d2-4336-985d-e8fd1f3fa9d4 | https://datasets.cellxgene.cziscience.com/b02838df-aeb1-46f9-b80c-3eafd32a6d64.h5ad | b02838df-aeb1-46f9-b80c-3eafd32a6d64 | /mnt/scratch/spatial_soma/source_h5ad/b02838df-aeb1-46f9-b80c-3eafd32a6d64.h5ad | Visium spatial - face_forehead_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/b02838df-aeb1-46f9-b80c-3eafd32a6d64.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 133993448 | 4992 | 892.6320112179487 | 5.2.0 | 0 | -1 | |
| 726afd49-df7b-4b56-967a-0fb79d85ee4b | https://datasets.cellxgene.cziscience.com/d16cd549-73d2-42e6-b2a8-202d3f154749.h5ad | d16cd549-73d2-42e6-b2a8-202d3f154749 | /mnt/scratch/spatial_soma/source_h5ad/d16cd549-73d2-42e6-b2a8-202d3f154749.h5ad | Visium spatial - body_pubis_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/d16cd549-73d2-42e6-b2a8-202d3f154749.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 424279856 | 4992 | 776.2892628205128 | 5.2.0 | 0 | -1 | |
| 6ee287a4-5339-47c6-87d7-115101fca4e1 | https://datasets.cellxgene.cziscience.com/753e501c-9f45-41be-b28e-1a6990ce0dd7.h5ad | 753e501c-9f45-41be-b28e-1a6990ce0dd7 | /mnt/scratch/spatial_soma/source_h5ad/753e501c-9f45-41be-b28e-1a6990ce0dd7.h5ad | Visium spatial - bcc_face_nose_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/753e501c-9f45-41be-b28e-1a6990ce0dd7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 195881725 | 4992 | 2087.395032051282 | 5.2.0 | 0 | -1 | |
| 6e9e3264-02e1-455a-840b-4fbcee132ae7 | https://datasets.cellxgene.cziscience.com/abb4d2e1-5f75-4c53-96e6-67c3826a2653.h5ad | abb4d2e1-5f75-4c53-96e6-67c3826a2653 | /mnt/scratch/spatial_soma/source_h5ad/abb4d2e1-5f75-4c53-96e6-67c3826a2653.h5ad | Visium spatial - body_breast_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/abb4d2e1-5f75-4c53-96e6-67c3826a2653.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 227802459 | 4992 | 740.5190304487179 | 5.2.0 | 0 | -1 | |
| 663747ff-d8e4-4f5f-a5ed-a63c4332cb05 | https://datasets.cellxgene.cziscience.com/3f2ddc14-e8af-42e7-b259-6ab7cdc0abb3.h5ad | 3f2ddc14-e8af-42e7-b259-6ab7cdc0abb3 | /mnt/scratch/spatial_soma/source_h5ad/3f2ddc14-e8af-42e7-b259-6ab7cdc0abb3.h5ad | Visium spatial - face_cheek_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/3f2ddc14-e8af-42e7-b259-6ab7cdc0abb3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 226008311 | 4992 | 1392.2714342948718 | 5.2.0 | 0 | -1 | |
| 5ed0e8de-27e5-4dd6-b8a9-adb3d86eaf9d | https://datasets.cellxgene.cziscience.com/d27b5c80-9a13-46d9-a95f-6e10315092ee.h5ad | d27b5c80-9a13-46d9-a95f-6e10315092ee | /mnt/scratch/spatial_soma/source_h5ad/d27b5c80-9a13-46d9-a95f-6e10315092ee.h5ad | Visium spatial - bcc_face_nose_C | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/d27b5c80-9a13-46d9-a95f-6e10315092ee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 140356421 | 4992 | 1212.5226362179487 | 5.2.0 | 0 | -1 | |
| 4e6e0a5d-28f7-4792-a43b-7c3aa50d0265 | https://datasets.cellxgene.cziscience.com/9a12fd28-900c-484f-a663-b14a581af960.h5ad | 9a12fd28-900c-484f-a663-b14a581af960 | /mnt/scratch/spatial_soma/source_h5ad/9a12fd28-900c-484f-a663-b14a581af960.h5ad | Visium spatial - bcc_face_nose_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/9a12fd28-900c-484f-a663-b14a581af960.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 177444091 | 4992 | 2014.993389423077 | 5.2.0 | 0 | -1 | |
| 4754ff7d-dd0a-4eff-b50c-ee9c7d4bd613 | https://datasets.cellxgene.cziscience.com/e144d5ba-0400-4b9b-beab-6f281cc9ae6d.h5ad | e144d5ba-0400-4b9b-beab-6f281cc9ae6d | /mnt/scratch/spatial_soma/source_h5ad/e144d5ba-0400-4b9b-beab-6f281cc9ae6d.h5ad | Visium spatial - face_cheek_B | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/e144d5ba-0400-4b9b-beab-6f281cc9ae6d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 185667768 | 4992 | 1464.8120993589744 | 5.2.0 | 0 | -1 | |
| 43d268e8-1859-4ce7-ba75-e7e4f5a76e1d | https://datasets.cellxgene.cziscience.com/0379e7a4-818c-46c3-9e29-4d0f28635f65.h5ad | 0379e7a4-818c-46c3-9e29-4d0f28635f65 | /mnt/scratch/spatial_soma/source_h5ad/0379e7a4-818c-46c3-9e29-4d0f28635f65.h5ad | Visium spatial - bcc_face_cheek_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/0379e7a4-818c-46c3-9e29-4d0f28635f65.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 125269773 | 4992 | 1440.2570112179487 | 5.2.0 | 0 | -1 | |
| 335c6629-0563-4b44-a7fb-d69ba00ddc41 | https://datasets.cellxgene.cziscience.com/575cdb2b-a3c3-4f2a-ba36-8f225629dd34.h5ad | 575cdb2b-a3c3-4f2a-ba36-8f225629dd34 | /mnt/scratch/spatial_soma/source_h5ad/575cdb2b-a3c3-4f2a-ba36-8f225629dd34.h5ad | Visium spatial - body_abdomen_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/575cdb2b-a3c3-4f2a-ba36-8f225629dd34.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 437769999 | 4992 | 418.2329727564103 | 5.2.0 | 0 | -1 | |
| 32eb45ed-d970-4f34-8ad1-7a88e8ee6ce1 | https://datasets.cellxgene.cziscience.com/ffd77932-3088-46b8-a6a0-df2b8c0a4c89.h5ad | ffd77932-3088-46b8-a6a0-df2b8c0a4c89 | /mnt/scratch/spatial_soma/source_h5ad/ffd77932-3088-46b8-a6a0-df2b8c0a4c89.h5ad | Visium spatial - body_back_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/ffd77932-3088-46b8-a6a0-df2b8c0a4c89.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 216468520 | 4992 | 346.58934294871796 | 5.2.0 | 0 | -1 | |
| 205e9eb0-1ae7-4cdf-abc1-0d7acf5d357f | https://datasets.cellxgene.cziscience.com/2d5d0189-4717-4da9-8c36-eb132b2bf6ca.h5ad | 2d5d0189-4717-4da9-8c36-eb132b2bf6ca | /mnt/scratch/spatial_soma/source_h5ad/2d5d0189-4717-4da9-8c36-eb132b2bf6ca.h5ad | Visium spatial - body_inguinal_A_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/2d5d0189-4717-4da9-8c36-eb132b2bf6ca.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 243262485 | 4992 | 717.1808894230769 | 5.2.0 | 0 | -1 | |
| 1f4cc77e-be05-4f1c-ab52-af60e61ef310 | https://datasets.cellxgene.cziscience.com/96a17124-f8bf-4cc3-b2e1-ef166f68b87f.h5ad | 96a17124-f8bf-4cc3-b2e1-ef166f68b87f | /mnt/scratch/spatial_soma/source_h5ad/96a17124-f8bf-4cc3-b2e1-ef166f68b87f.h5ad | Visium spatial - body_inguinal_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/96a17124-f8bf-4cc3-b2e1-ef166f68b87f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 134215099 | 4992 | 639.1191907051282 | 5.2.0 | 0 | -1 | |
| 1d7ac406-9c5f-4537-a169-b6e8fab8b6f2 | https://datasets.cellxgene.cziscience.com/3f08abc9-c14d-454e-a2eb-31ad740e83e7.h5ad | 3f08abc9-c14d-454e-a2eb-31ad740e83e7 | /mnt/scratch/spatial_soma/source_h5ad/3f08abc9-c14d-454e-a2eb-31ad740e83e7.h5ad | Visium spatial - face_nose_A_b | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/3f08abc9-c14d-454e-a2eb-31ad740e83e7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 214090265 | 4992 | 1564.6187900641025 | 5.2.0 | 0 | -1 | |
| 1d3c1bab-7b56-4373-9def-200da734a755 | https://datasets.cellxgene.cziscience.com/181c202e-4148-4c10-aaf7-ab51ecf858d0.h5ad | 181c202e-4148-4c10-aaf7-ab51ecf858d0 | /mnt/scratch/spatial_soma/source_h5ad/181c202e-4148-4c10-aaf7-ab51ecf858d0.h5ad | Visium spatial - face_temple_B_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/181c202e-4148-4c10-aaf7-ab51ecf858d0.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 172132463 | 4992 | 945.1079727564103 | 5.2.0 | 0 | -1 | |
| 1b11283c-1b3a-4fa6-bf87-bc12c550a019 | https://datasets.cellxgene.cziscience.com/975841c8-2beb-4a25-af79-1a7e94af5bb2.h5ad | 975841c8-2beb-4a25-af79-1a7e94af5bb2 | /mnt/scratch/spatial_soma/source_h5ad/975841c8-2beb-4a25-af79-1a7e94af5bb2.h5ad | Visium spatial - face_nose_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/975841c8-2beb-4a25-af79-1a7e94af5bb2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 174676609 | 4992 | 1215.4449118589744 | 5.2.0 | 0 | -1 | |
| 18d0fe01-3682-4b5d-aa39-2ca937424c83 | https://datasets.cellxgene.cziscience.com/28847aa4-185c-4df6-8d81-be4834824f25.h5ad | 28847aa4-185c-4df6-8d81-be4834824f25 | /mnt/scratch/spatial_soma/source_h5ad/28847aa4-185c-4df6-8d81-be4834824f25.h5ad | Visium spatial - bcc_face_ear_A | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/28847aa4-185c-4df6-8d81-be4834824f25.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 170372692 | 4992 | 1625.9927884615386 | 5.2.0 | 0 | -1 | |
| 0456ae85-6f27-4e36-8c62-4c97370baa68 | https://datasets.cellxgene.cziscience.com/f4da05d0-1560-4582-89c8-5aa08ecbc8bb.h5ad | f4da05d0-1560-4582-89c8-5aa08ecbc8bb | /mnt/scratch/spatial_soma/source_h5ad/f4da05d0-1560-4582-89c8-5aa08ecbc8bb.h5ad | Visium spatial - face_temple_A_a | Publication: https://doi.org/10.1073/pnas.2313326120 Dataset Version: https://datasets.cellxgene.cziscience.com/f4da05d0-1560-4582-89c8-5aa08ecbc8bb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/34f12de7-c5e5-4813-a136-832677f98ac8 | 34f12de7-c5e5-4813-a136-832677f98ac8 | Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma | 10.1073/pnas.2313326120 | Ganier et al. (2024) Proc. Natl. Acad. Sci. U.S.A. | 112893585 | 4992 | 828.4711538461538 | 5.2.0 | 0 | -1 | |
| fca00c4c-0b8a-4836-ab7b-6620123d2d4e | https://datasets.cellxgene.cziscience.com/db5e1f7c-9136-4765-b2f4-508bede5c2df.h5ad | db5e1f7c-9136-4765-b2f4-508bede5c2df | /mnt/scratch/spatial_soma/source_h5ad/db5e1f7c-9136-4765-b2f4-508bede5c2df.h5ad | Visium spatial data from liver of primary sclerosing cholangitis patient; sample PSC011_C1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/db5e1f7c-9136-4765-b2f4-508bede5c2df.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 53869692 | 4992 | 1996.6788862179487 | 5.2.0 | 0 | -1 | |
| a0805e92-3d1f-4866-af5c-5b903c6d910b | https://datasets.cellxgene.cziscience.com/9f482a02-9e09-4e1c-821b-76ed6d7dd3e5.h5ad | 9f482a02-9e09-4e1c-821b-76ed6d7dd3e5 | /mnt/scratch/spatial_soma/source_h5ad/9f482a02-9e09-4e1c-821b-76ed6d7dd3e5.h5ad | Visium spatial data from liver of primary sclerosing cholangitis patient; sample PSC011_D1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/9f482a02-9e09-4e1c-821b-76ed6d7dd3e5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 45278174 | 4992 | 1748.3207131410256 | 5.2.0 | 0 | -1 | |
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| 7ca2e329-d91b-4e36-b4cc-663447ae437e | https://datasets.cellxgene.cziscience.com/482e695e-e9c8-4890-a791-d4f2f0daeb97.h5ad | 482e695e-e9c8-4890-a791-d4f2f0daeb97 | /mnt/scratch/spatial_soma/source_h5ad/482e695e-e9c8-4890-a791-d4f2f0daeb97.h5ad | Visium spatial data from human healthy liver donor; sample C73_D1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/482e695e-e9c8-4890-a791-d4f2f0daeb97.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 1097518242 | 4992 | 1431.8409455128206 | 5.2.0 | 0 | -1 | |
| 7b814d77-810f-49e5-ae73-c3b644ea197f | https://datasets.cellxgene.cziscience.com/4921d2a2-97c2-42ec-ac9a-957a17c67bcc.h5ad | 4921d2a2-97c2-42ec-ac9a-957a17c67bcc | /mnt/scratch/spatial_soma/source_h5ad/4921d2a2-97c2-42ec-ac9a-957a17c67bcc.h5ad | Visium spatial data from human healthy liver donor; sample C73_B1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/4921d2a2-97c2-42ec-ac9a-957a17c67bcc.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 1081269496 | 4992 | 1307.2958733974358 | 5.2.0 | 0 | -1 | |
| 7a90a1ce-4e66-44d0-b273-7c672de53b17 | https://datasets.cellxgene.cziscience.com/674ac28c-5dbc-40f1-ad39-d372c98f10bd.h5ad | 674ac28c-5dbc-40f1-ad39-d372c98f10bd | /mnt/scratch/spatial_soma/source_h5ad/674ac28c-5dbc-40f1-ad39-d372c98f10bd.h5ad | Visium spatial data from liver of primary sclerosing cholangitis patient; sample PSC011_B1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/674ac28c-5dbc-40f1-ad39-d372c98f10bd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 52798176 | 4992 | 2065.620592948718 | 5.2.0 | 0 | -1 | |
| 6d222287-cf5b-4eb5-86e3-c4e71adab844 | https://datasets.cellxgene.cziscience.com/878c7b62-8970-4f4c-93c4-8d81b7441cda.h5ad | 878c7b62-8970-4f4c-93c4-8d81b7441cda | /mnt/scratch/spatial_soma/source_h5ad/878c7b62-8970-4f4c-93c4-8d81b7441cda.h5ad | Visium spatial data from human healthy liver donor; sample C73_C1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/878c7b62-8970-4f4c-93c4-8d81b7441cda.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 1172495055 | 4992 | 2088.418269230769 | 5.2.0 | 0 | -1 | |
| 43cd0dbc-4e6c-433f-b143-8e6367e17fed | https://datasets.cellxgene.cziscience.com/af7dfa92-f18e-41eb-ac3e-c744f911b8d7.h5ad | af7dfa92-f18e-41eb-ac3e-c744f911b8d7 | /mnt/scratch/spatial_soma/source_h5ad/af7dfa92-f18e-41eb-ac3e-c744f911b8d7.h5ad | Visium spatial data from liver of primary sclerosing cholangitis patient; sample PSC011_A1 | Publication: https://doi.org/10.1016/j.jhep.2023.12.023 Dataset Version: https://datasets.cellxgene.cziscience.com/af7dfa92-f18e-41eb-ac3e-c744f911b8d7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | 0c8a364b-97b5-4cc8-a593-23c38c6f0ac5 | Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver | 10.1016/j.jhep.2023.12.023 | Andrews et al. (2024) Journal of Hepatology | 62284412 | 4992 | 2426.680889423077 | 5.2.0 | 0 | -1 | |
| b2c9f2c0-3c3c-4f2c-816d-3e5a10f573bd | https://datasets.cellxgene.cziscience.com/64cb032e-a22a-4b0b-816c-22fb3477b9ad.h5ad | 64cb032e-a22a-4b0b-816c-22fb3477b9ad | /mnt/scratch/spatial_soma/source_h5ad/64cb032e-a22a-4b0b-816c-22fb3477b9ad.h5ad | WSA_LngSP10193345 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/64cb032e-a22a-4b0b-816c-22fb3477b9ad.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 870969173 | 4992 | 500.3701923076923 | 5.2.0 | 0 | -1 | |
| a83dd1a9-d689-486b-aa8a-5036bf9d5816 | https://datasets.cellxgene.cziscience.com/880f080e-17ef-4205-8797-fad9589972f1.h5ad | 880f080e-17ef-4205-8797-fad9589972f1 | /mnt/scratch/spatial_soma/source_h5ad/880f080e-17ef-4205-8797-fad9589972f1.h5ad | WSA_LngSP10972072 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/880f080e-17ef-4205-8797-fad9589972f1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 437366073 | 4992 | 2636.18890224359 | 5.2.0 | 0 | -1 | |
| 987185c0-e092-49fb-935a-cc3fa0d084ca | https://datasets.cellxgene.cziscience.com/93136eb5-a090-4797-ad5f-0b2db0db17cf.h5ad | 93136eb5-a090-4797-ad5f-0b2db0db17cf | /mnt/scratch/spatial_soma/source_h5ad/93136eb5-a090-4797-ad5f-0b2db0db17cf.h5ad | WSA_LngSP9258467 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/93136eb5-a090-4797-ad5f-0b2db0db17cf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 257535865 | 4992 | 454.6766826923077 | 5.2.0 | 0 | -1 | |
| 8cd27ec2-250d-482d-8cab-8dc17e017e09 | https://datasets.cellxgene.cziscience.com/4e266aa0-bc05-408f-96f9-163e4eb06941.h5ad | 4e266aa0-bc05-408f-96f9-163e4eb06941 | /mnt/scratch/spatial_soma/source_h5ad/4e266aa0-bc05-408f-96f9-163e4eb06941.h5ad | WSA_LngSP10972073 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/4e266aa0-bc05-408f-96f9-163e4eb06941.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 382579310 | 4992 | 2505.3535657051284 | 5.2.0 | 0 | -1 | |
| 853c4415-9820-4377-ae29-cfe61d72fbd1 | https://datasets.cellxgene.cziscience.com/5afbf791-57e2-4dbc-b47a-b830bc1b1cdd.h5ad | 5afbf791-57e2-4dbc-b47a-b830bc1b1cdd | /mnt/scratch/spatial_soma/source_h5ad/5afbf791-57e2-4dbc-b47a-b830bc1b1cdd.h5ad | WSA_LngSP10972075 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/5afbf791-57e2-4dbc-b47a-b830bc1b1cdd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 273218043 | 4992 | 1014.4419070512821 | 5.2.0 | 0 | -1 | |
| 73de42b2-4871-4dbc-bde4-a9faa089b607 | https://datasets.cellxgene.cziscience.com/2d3922f9-2909-478b-aeca-3a7509749667.h5ad | 2d3922f9-2909-478b-aeca-3a7509749667 | /mnt/scratch/spatial_soma/source_h5ad/2d3922f9-2909-478b-aeca-3a7509749667.h5ad | WSA_LngSP10193348 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/2d3922f9-2909-478b-aeca-3a7509749667.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 729019875 | 4992 | 302.2762419871795 | 5.2.0 | 0 | -1 | |
| 72ddcd39-bd9b-4f6a-9251-bf2a6763b16f | https://datasets.cellxgene.cziscience.com/d2e17c2c-8acc-4320-9d04-7a125ec0bd38.h5ad | d2e17c2c-8acc-4320-9d04-7a125ec0bd38 | /mnt/scratch/spatial_soma/source_h5ad/d2e17c2c-8acc-4320-9d04-7a125ec0bd38.h5ad | WSA_LngSP9258464 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/d2e17c2c-8acc-4320-9d04-7a125ec0bd38.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 540134423 | 4992 | 1105.3804086538462 | 5.2.0 | 0 | -1 | |
| 728a6902-8916-47a1-b85a-ba1c922d56b7 | https://datasets.cellxgene.cziscience.com/21aa8466-c5d9-4b51-943e-0c9747cb4cab.h5ad | 21aa8466-c5d9-4b51-943e-0c9747cb4cab | /mnt/scratch/spatial_soma/source_h5ad/21aa8466-c5d9-4b51-943e-0c9747cb4cab.h5ad | WSA_LngSP8759313 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/21aa8466-c5d9-4b51-943e-0c9747cb4cab.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 418267952 | 4992 | 364.46714743589746 | 5.2.0 | 0 | -1 | |
| 708a7f62-260b-43f4-837a-d329c29f830b | https://datasets.cellxgene.cziscience.com/cbab9a64-1af0-4f0a-910f-87abb230b307.h5ad | cbab9a64-1af0-4f0a-910f-87abb230b307 | /mnt/scratch/spatial_soma/source_h5ad/cbab9a64-1af0-4f0a-910f-87abb230b307.h5ad | WSA_LngSP10193347 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/cbab9a64-1af0-4f0a-910f-87abb230b307.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 753821164 | 4992 | 421.0154246794872 | 5.2.0 | 0 | -1 | |
| 5944834b-e31e-4955-942a-731d75e39385 | https://datasets.cellxgene.cziscience.com/26df7002-6008-4822-adf7-c1294cbf960f.h5ad | 26df7002-6008-4822-adf7-c1294cbf960f | /mnt/scratch/spatial_soma/source_h5ad/26df7002-6008-4822-adf7-c1294cbf960f.h5ad | WSA_LngSP9258463 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/26df7002-6008-4822-adf7-c1294cbf960f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 235181348 | 4992 | 407.66085737179486 | 5.2.0 | 0 | -1 | |
| 44c9d3fd-bbde-45a5-a17c-db37a75bf697 | https://datasets.cellxgene.cziscience.com/54f0a00c-5871-4681-b35e-69822e76589b.h5ad | 54f0a00c-5871-4681-b35e-69822e76589b | /mnt/scratch/spatial_soma/source_h5ad/54f0a00c-5871-4681-b35e-69822e76589b.h5ad | WSA_LngSP10972074 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/54f0a00c-5871-4681-b35e-69822e76589b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 248165960 | 4992 | 897.5082131410256 | 5.2.0 | 0 | -1 | |
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| 2c3621b8-1870-4e06-b169-252ab243118d | https://datasets.cellxgene.cziscience.com/45ed8e82-f947-455c-8b4f-30f812150cf4.h5ad | 45ed8e82-f947-455c-8b4f-30f812150cf4 | /mnt/scratch/spatial_soma/source_h5ad/45ed8e82-f947-455c-8b4f-30f812150cf4.h5ad | WSA_LngSP8759311 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/45ed8e82-f947-455c-8b4f-30f812150cf4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 435807007 | 4992 | 440.67147435897436 | 5.2.0 | 0 | -1 | |
| 20718fc1-c04b-496b-8a27-8589a637346c | https://datasets.cellxgene.cziscience.com/a8946684-a694-40d9-8dc2-6ac4fb8be3ae.h5ad | a8946684-a694-40d9-8dc2-6ac4fb8be3ae | /mnt/scratch/spatial_soma/source_h5ad/a8946684-a694-40d9-8dc2-6ac4fb8be3ae.h5ad | WSA_LngSP8759312 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/a8946684-a694-40d9-8dc2-6ac4fb8be3ae.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 478621400 | 4992 | 406.6602564102564 | 5.2.0 | 0 | -1 | |
| 15c5c186-df92-4b17-a253-199e10ffe98a | https://datasets.cellxgene.cziscience.com/5a4abb22-dbc6-4a1b-9266-8131bc5bbdd9.h5ad | 5a4abb22-dbc6-4a1b-9266-8131bc5bbdd9 | /mnt/scratch/spatial_soma/source_h5ad/5a4abb22-dbc6-4a1b-9266-8131bc5bbdd9.h5ad | WSA_LngSP9258468 | Publication: https://doi.org/10.1038/s41588-022-01243-4 Dataset Version: https://datasets.cellxgene.cziscience.com/5a4abb22-dbc6-4a1b-9266-8131bc5bbdd9.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/c1241244-b22d-483d-875b-75699efb9f3c | c1241244-b22d-483d-875b-75699efb9f3c | A spatially resolved atlas of the human lung characterizes a gland-associated immune niche | 10.1038/s41588-022-01243-4 | Madissoon et al. (2023) Nat Genet | 533654543 | 4992 | 1028.6993189102564 | 5.2.0 | 0 | -1 | |
| fe5b3268-ddd8-415a-9432-f1f95bfdb500 | https://datasets.cellxgene.cziscience.com/7027345d-bacb-4eb7-b8bf-7a329f23b9a3.h5ad | 7027345d-bacb-4eb7-b8bf-7a329f23b9a3 | /mnt/scratch/spatial_soma/source_h5ad/7027345d-bacb-4eb7-b8bf-7a329f23b9a3.h5ad | Visium spatial - HCAHeartST13233999 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/7027345d-bacb-4eb7-b8bf-7a329f23b9a3.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 226768968 | 4992 | 1368.909455128205 | 5.2.0 | 0 | -1 | |
| f92a761d-b7b8-490a-aea2-bd7a1bb9714d | https://datasets.cellxgene.cziscience.com/54e484b5-5565-4ff7-b219-0b57e42f682d.h5ad | 54e484b5-5565-4ff7-b219-0b57e42f682d | /mnt/scratch/spatial_soma/source_h5ad/54e484b5-5565-4ff7-b219-0b57e42f682d.h5ad | Visium spatial - HCAHeartST8795935 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/54e484b5-5565-4ff7-b219-0b57e42f682d.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 271964467 | 4992 | 442.59555288461536 | 5.2.0 | 0 | -1 | |
| e0f37114-5e98-406e-bbeb-594603360606 | https://datasets.cellxgene.cziscience.com/8babec34-ebf1-4b99-a86d-9d6a73791394.h5ad | 8babec34-ebf1-4b99-a86d-9d6a73791394 | /mnt/scratch/spatial_soma/source_h5ad/8babec34-ebf1-4b99-a86d-9d6a73791394.h5ad | Visium spatial - HCAHeartST11702008 (FFPE) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/8babec34-ebf1-4b99-a86d-9d6a73791394.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 620957022 | 4992 | 2867.1875 | 5.2.0 | 0 | -1 | |
| e0245fc6-ccf3-4329-ab10-136b7f366b49 | https://datasets.cellxgene.cziscience.com/a861683c-b4d2-4b46-9306-eb2e5173503a.h5ad | a861683c-b4d2-4b46-9306-eb2e5173503a | /mnt/scratch/spatial_soma/source_h5ad/a861683c-b4d2-4b46-9306-eb2e5173503a.h5ad | Visium spatial - HCAHeartST10550732 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/a861683c-b4d2-4b46-9306-eb2e5173503a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 502147370 | 4992 | 971.1592548076923 | 5.2.0 | 0 | -1 | |
| c70e9ea9-61d0-41b1-90f6-6fd3f25e91ab | https://datasets.cellxgene.cziscience.com/e515df45-ee15-48ca-9b68-e4b61128a217.h5ad | e515df45-ee15-48ca-9b68-e4b61128a217 | /mnt/scratch/spatial_soma/source_h5ad/e515df45-ee15-48ca-9b68-e4b61128a217.h5ad | Visium spatial - HCAHeartST8795938 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/e515df45-ee15-48ca-9b68-e4b61128a217.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 298317666 | 4992 | 849.9829727564103 | 5.2.0 | 0 | -1 | |
| c6c3206c-5228-4389-bc95-1d6120beb738 | https://datasets.cellxgene.cziscience.com/8f884a97-1f4e-45db-a350-782aef8465c1.h5ad | 8f884a97-1f4e-45db-a350-782aef8465c1 | /mnt/scratch/spatial_soma/source_h5ad/8f884a97-1f4e-45db-a350-782aef8465c1.h5ad | Visium spatial - HCAHeartST9383353 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/8f884a97-1f4e-45db-a350-782aef8465c1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 191626003 | 4992 | 432.84835737179486 | 5.2.0 | 0 | -1 | |
| c5cddbbb-8ba4-4338-8b34-15edb5231e22 | https://datasets.cellxgene.cziscience.com/cc9f8990-b63f-44a3-bc58-b90cbe69f5b2.h5ad | cc9f8990-b63f-44a3-bc58-b90cbe69f5b2 | /mnt/scratch/spatial_soma/source_h5ad/cc9f8990-b63f-44a3-bc58-b90cbe69f5b2.h5ad | Visium spatial - HCAHeartST10659160 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/cc9f8990-b63f-44a3-bc58-b90cbe69f5b2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 50208326 | 4992 | 1561.961137820513 | 5.2.0 | 0 | -1 | |
| bec030e1-7dc8-4eef-89a4-ab36e7043768 | https://datasets.cellxgene.cziscience.com/ea5978d9-8ae3-4a56-9087-4ebf9c8f9708.h5ad | ea5978d9-8ae3-4a56-9087-4ebf9c8f9708 | /mnt/scratch/spatial_soma/source_h5ad/ea5978d9-8ae3-4a56-9087-4ebf9c8f9708.h5ad | Visium spatial - HCAHeartST11290659 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/ea5978d9-8ae3-4a56-9087-4ebf9c8f9708.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 583718550 | 4992 | 648.2375801282051 | 5.2.0 | 0 | -1 | |
| b3c55d0d-4529-4b61-b485-2902e6be0e4e | https://datasets.cellxgene.cziscience.com/2a523d38-70a3-4231-8d6d-ecd4e9d48a37.h5ad | 2a523d38-70a3-4231-8d6d-ecd4e9d48a37 | /mnt/scratch/spatial_soma/source_h5ad/2a523d38-70a3-4231-8d6d-ecd4e9d48a37.h5ad | Visium spatial - HCAHeartST11290657 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/2a523d38-70a3-4231-8d6d-ecd4e9d48a37.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 620138646 | 4992 | 526.6298076923077 | 5.2.0 | 0 | -1 | |
| af113aeb-ee5f-4484-8104-dc3190b6e54e | https://datasets.cellxgene.cziscience.com/50f971b9-98a7-40a3-bf0f-3f516347979e.h5ad | 50f971b9-98a7-40a3-bf0f-3f516347979e | /mnt/scratch/spatial_soma/source_h5ad/50f971b9-98a7-40a3-bf0f-3f516347979e.h5ad | Visium spatial - HCAHeartST13228103 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/50f971b9-98a7-40a3-bf0f-3f516347979e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 339264430 | 4992 | 1108.8818108974358 | 5.2.0 | 0 | -1 | |
| aeb253a3-b194-4500-9f1c-6f503ecc76f0 | https://datasets.cellxgene.cziscience.com/e55984c0-be8e-437b-a594-3bae03315871.h5ad | e55984c0-be8e-437b-a594-3bae03315871 | /mnt/scratch/spatial_soma/source_h5ad/e55984c0-be8e-437b-a594-3bae03315871.h5ad | Visium spatial - HCAHeartST9341983 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/e55984c0-be8e-437b-a594-3bae03315871.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 248832143 | 4992 | 508.87159455128204 | 5.2.0 | 0 | -1 | |
| a9c5aecf-3b7d-4329-93b4-bf9dd16c3a3c | https://datasets.cellxgene.cziscience.com/6bd52b97-2480-4ca3-8d96-768d111a0d50.h5ad | 6bd52b97-2480-4ca3-8d96-768d111a0d50 | /mnt/scratch/spatial_soma/source_h5ad/6bd52b97-2480-4ca3-8d96-768d111a0d50.h5ad | Visium spatial - HCAHeartST12992075 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/6bd52b97-2480-4ca3-8d96-768d111a0d50.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 495812018 | 4992 | 1060.7728365384614 | 5.2.0 | 0 | -1 | |
| 9dca8e98-e2f1-4e64-b7b0-22953cd8235d | https://datasets.cellxgene.cziscience.com/d136802f-8a9e-406d-8e49-4640b9bba7f5.h5ad | d136802f-8a9e-406d-8e49-4640b9bba7f5 | /mnt/scratch/spatial_soma/source_h5ad/d136802f-8a9e-406d-8e49-4640b9bba7f5.h5ad | Visium spatial - HCAHeartST13233998 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/d136802f-8a9e-406d-8e49-4640b9bba7f5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 361128020 | 4992 | 1612.3828125 | 5.2.0 | 0 | -1 | |
| 9a38ffc5-576c-4283-a79c-fb1c5e03cb96 | https://datasets.cellxgene.cziscience.com/554e7b37-e5d4-411c-b129-f854ac0a1ec5.h5ad | 554e7b37-e5d4-411c-b129-f854ac0a1ec5 | /mnt/scratch/spatial_soma/source_h5ad/554e7b37-e5d4-411c-b129-f854ac0a1ec5.h5ad | Visium spatial - HCAHeartST8795934 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/554e7b37-e5d4-411c-b129-f854ac0a1ec5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 344244130 | 4992 | 599.9354967948718 | 5.2.0 | 0 | -1 | |
| 985d11a7-9687-4d15-9681-90113501c2bc | https://datasets.cellxgene.cziscience.com/57c27eac-b01b-4199-a2dd-074cb49b2288.h5ad | 57c27eac-b01b-4199-a2dd-074cb49b2288 | /mnt/scratch/spatial_soma/source_h5ad/57c27eac-b01b-4199-a2dd-074cb49b2288.h5ad | Visium spatial - HCAHeartST13233997 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/57c27eac-b01b-4199-a2dd-074cb49b2288.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 284887290 | 4992 | 1183.3653846153845 | 5.2.0 | 0 | -1 | |
| 94071616-999b-4517-a3e6-c0de3574248d | https://datasets.cellxgene.cziscience.com/db4457f5-7716-4121-9c3d-0ac1b1b29052.h5ad | db4457f5-7716-4121-9c3d-0ac1b1b29052 | /mnt/scratch/spatial_soma/source_h5ad/db4457f5-7716-4121-9c3d-0ac1b1b29052.h5ad | Visium spatial - HCAHeartST8795936 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/db4457f5-7716-4121-9c3d-0ac1b1b29052.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 422764468 | 4992 | 667.6570512820513 | 5.2.0 | 0 | -1 | |
| 82040363-8a09-4521-81b5-8f6e62c4ace7 | https://datasets.cellxgene.cziscience.com/741a9f95-52c5-4cea-943e-3e58107d0b87.h5ad | 741a9f95-52c5-4cea-943e-3e58107d0b87 | /mnt/scratch/spatial_soma/source_h5ad/741a9f95-52c5-4cea-943e-3e58107d0b87.h5ad | Visium spatial - HCAHeartST11702009 (FFPE) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/741a9f95-52c5-4cea-943e-3e58107d0b87.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 650555550 | 4992 | 2515.9210737179487 | 5.2.0 | 0 | -1 | |
| 79527108-1f6c-4152-afe0-1fcdf2e02ba3 | https://datasets.cellxgene.cziscience.com/43d45c43-33ea-495c-a5f0-07fe324b6c50.h5ad | 43d45c43-33ea-495c-a5f0-07fe324b6c50 | /mnt/scratch/spatial_soma/source_h5ad/43d45c43-33ea-495c-a5f0-07fe324b6c50.h5ad | Visium spatial - HCAHeartST8795939 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/43d45c43-33ea-495c-a5f0-07fe324b6c50.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 334552919 | 4992 | 980.181891025641 | 5.2.0 | 0 | -1 | |
| 6d4b3d09-f1f1-411e-972b-087880a0dcbe | https://datasets.cellxgene.cziscience.com/4bcae779-d638-4cd5-85a3-ddca236780fa.h5ad | 4bcae779-d638-4cd5-85a3-ddca236780fa | /mnt/scratch/spatial_soma/source_h5ad/4bcae779-d638-4cd5-85a3-ddca236780fa.h5ad | Visium spatial - HCAHeartST12992072 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/4bcae779-d638-4cd5-85a3-ddca236780fa.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 571720620 | 4992 | 1961.8589743589744 | 5.2.0 | 0 | -1 | |
| 619db5f3-03fa-4153-b293-5a5e2d2bec2e | https://datasets.cellxgene.cziscience.com/9c142aea-350d-4e76-91a2-b61b1ffcb855.h5ad | 9c142aea-350d-4e76-91a2-b61b1ffcb855 | /mnt/scratch/spatial_soma/source_h5ad/9c142aea-350d-4e76-91a2-b61b1ffcb855.h5ad | Visium spatial - HCAHeartST9383358 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/9c142aea-350d-4e76-91a2-b61b1ffcb855.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 291569052 | 4992 | 186.91085737179486 | 5.2.0 | 0 | -1 | |
| 5e2030eb-c905-4f54-a55f-20d41774ecc7 | https://datasets.cellxgene.cziscience.com/e6bea404-61c3-440e-9215-140abfd3fb37.h5ad | e6bea404-61c3-440e-9215-140abfd3fb37 | /mnt/scratch/spatial_soma/source_h5ad/e6bea404-61c3-440e-9215-140abfd3fb37.h5ad | Visium spatial - HCAHeartST13228105 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/e6bea404-61c3-440e-9215-140abfd3fb37.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 304389767 | 4992 | 997.5138221153846 | 5.2.0 | 0 | -1 | |
| 5a364b09-f4fd-41f4-bba5-580554ed1d1f | https://datasets.cellxgene.cziscience.com/29da6eb2-9e06-4f43-b0fc-e15748264ee1.h5ad | 29da6eb2-9e06-4f43-b0fc-e15748264ee1 | /mnt/scratch/spatial_soma/source_h5ad/29da6eb2-9e06-4f43-b0fc-e15748264ee1.h5ad | Visium spatial - HCAHeartST11290658 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/29da6eb2-9e06-4f43-b0fc-e15748264ee1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 604614346 | 4992 | 532.9304887820513 | 5.2.0 | 0 | -1 | |
| 55731b4b-44b1-4a39-aaee-503e3ee351f5 | https://datasets.cellxgene.cziscience.com/85ba3148-afb3-4c74-8880-62c6bb5e350e.h5ad | 85ba3148-afb3-4c74-8880-62c6bb5e350e | /mnt/scratch/spatial_soma/source_h5ad/85ba3148-afb3-4c74-8880-62c6bb5e350e.h5ad | Visium spatial - HCAHeartST11350375 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/85ba3148-afb3-4c74-8880-62c6bb5e350e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 567289931 | 4992 | 950.6372195512821 | 5.2.0 | 0 | -1 | |
| 5260e91f-5d80-4e36-820c-394720d144c3 | https://datasets.cellxgene.cziscience.com/e272c5e8-1b8d-4a8c-8863-d7af5fab77dd.h5ad | e272c5e8-1b8d-4a8c-8863-d7af5fab77dd | /mnt/scratch/spatial_soma/source_h5ad/e272c5e8-1b8d-4a8c-8863-d7af5fab77dd.h5ad | Visium spatial - HCAHeartST8795940 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/e272c5e8-1b8d-4a8c-8863-d7af5fab77dd.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 247573405 | 4992 | 427.6642628205128 | 5.2.0 | 0 | -1 | |
| 4a9f7ec6-5de7-4e8a-acaa-d6d100a5ea58 | https://datasets.cellxgene.cziscience.com/96b3cb2e-2ce3-4509-a1d8-26973923900f.h5ad | 96b3cb2e-2ce3-4509-a1d8-26973923900f | /mnt/scratch/spatial_soma/source_h5ad/96b3cb2e-2ce3-4509-a1d8-26973923900f.h5ad | Visium spatial - HCAHeartST9383354 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/96b3cb2e-2ce3-4509-a1d8-26973923900f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 333920393 | 4992 | 447.11478365384613 | 5.2.0 | 0 | -1 | |
| 452f8dfe-52f1-4990-a73a-7117422a5934 | https://datasets.cellxgene.cziscience.com/b85cb47d-1ec8-4fd8-9db3-a7fc2264fee7.h5ad | b85cb47d-1ec8-4fd8-9db3-a7fc2264fee7 | /mnt/scratch/spatial_soma/source_h5ad/b85cb47d-1ec8-4fd8-9db3-a7fc2264fee7.h5ad | Visium spatial - HCAHeartST9341984 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/b85cb47d-1ec8-4fd8-9db3-a7fc2264fee7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 339286226 | 4992 | 539.4413060897435 | 5.2.0 | 0 | -1 | |
| 3add6c93-7e8c-4f7a-8056-3354ae777757 | https://datasets.cellxgene.cziscience.com/473827dc-5cb2-4df4-815c-d8955f03e769.h5ad | 473827dc-5cb2-4df4-815c-d8955f03e769 | /mnt/scratch/spatial_soma/source_h5ad/473827dc-5cb2-4df4-815c-d8955f03e769.h5ad | Visium spatial - HCAHeartST11702010 (FFPE) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/473827dc-5cb2-4df4-815c-d8955f03e769.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 639505735 | 4992 | 2968.751201923077 | 5.2.0 | 0 | -1 | |
| 339756db-b41f-4abd-b520-125e62e1389f | https://datasets.cellxgene.cziscience.com/0013776d-16e8-405e-93c1-fc07b4437164.h5ad | 0013776d-16e8-405e-93c1-fc07b4437164 | /mnt/scratch/spatial_soma/source_h5ad/0013776d-16e8-405e-93c1-fc07b4437164.h5ad | Visium spatial - HCAHeartST13233996 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/0013776d-16e8-405e-93c1-fc07b4437164.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 348119923 | 4992 | 1078.0204326923076 | 5.2.0 | 0 | -1 | |
| 2d8cb370-c23f-4ac3-bfb7-73c13838d741 | https://datasets.cellxgene.cziscience.com/36d717ce-1e3e-4bd7-a301-506f5499ca9f.h5ad | 36d717ce-1e3e-4bd7-a301-506f5499ca9f | /mnt/scratch/spatial_soma/source_h5ad/36d717ce-1e3e-4bd7-a301-506f5499ca9f.h5ad | Visium spatial - HCAHeartST11350377 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/36d717ce-1e3e-4bd7-a301-506f5499ca9f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 582340583 | 4992 | 729.5673076923077 | 5.2.0 | 0 | -1 | |
| 2ba63296-1a3d-4469-814e-ed9708e6c104 | https://datasets.cellxgene.cziscience.com/31115c85-2c50-4b2a-a10b-ac61a62d3770.h5ad | 31115c85-2c50-4b2a-a10b-ac61a62d3770 | /mnt/scratch/spatial_soma/source_h5ad/31115c85-2c50-4b2a-a10b-ac61a62d3770.h5ad | Visium spatial - HCAHeartST9341982 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/31115c85-2c50-4b2a-a10b-ac61a62d3770.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 225224522 | 4992 | 633.0418669871794 | 5.2.0 | 0 | -1 | |
| 2179a9b4-be5e-4e28-b1cd-cd3e07e19271 | https://datasets.cellxgene.cziscience.com/98f84b9e-0460-44d8-91ef-9fcb613ab4c9.h5ad | 98f84b9e-0460-44d8-91ef-9fcb613ab4c9 | /mnt/scratch/spatial_soma/source_h5ad/98f84b9e-0460-44d8-91ef-9fcb613ab4c9.h5ad | Visium spatial - HCAHeartST10238251 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/98f84b9e-0460-44d8-91ef-9fcb613ab4c9.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 344519773 | 4992 | 591.4310897435897 | 5.2.0 | 0 | -1 | |
| 2104fbb8-8ce3-4740-8b6a-bcbb46a13c0f | https://datasets.cellxgene.cziscience.com/2eb4ca4e-ca40-43a9-ac53-0649e0f36427.h5ad | 2eb4ca4e-ca40-43a9-ac53-0649e0f36427 | /mnt/scratch/spatial_soma/source_h5ad/2eb4ca4e-ca40-43a9-ac53-0649e0f36427.h5ad | Visium spatial - HCAHeartST10238252 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/2eb4ca4e-ca40-43a9-ac53-0649e0f36427.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 338716060 | 4992 | 831.2736378205128 | 5.2.0 | 0 | -1 | |
| 1df5fa02-4a6e-4b00-a203-cb0a60e75637 | https://datasets.cellxgene.cziscience.com/283c9ac8-a6a4-4b75-b7c3-e33e31579a0c.h5ad | 283c9ac8-a6a4-4b75-b7c3-e33e31579a0c | /mnt/scratch/spatial_soma/source_h5ad/283c9ac8-a6a4-4b75-b7c3-e33e31579a0c.h5ad | Visium spatial - HCAHeartST10550730 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/283c9ac8-a6a4-4b75-b7c3-e33e31579a0c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 507754972 | 4992 | 933.0372596153846 | 5.2.0 | 0 | -1 | |
| 1b0f8473-f847-4e41-be8b-4dc861860650 | https://datasets.cellxgene.cziscience.com/9d276e5b-d223-48b3-9005-e5f9b33f1664.h5ad | 9d276e5b-d223-48b3-9005-e5f9b33f1664 | /mnt/scratch/spatial_soma/source_h5ad/9d276e5b-d223-48b3-9005-e5f9b33f1664.h5ad | Visium spatial - HCAHeartST8795933 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/9d276e5b-d223-48b3-9005-e5f9b33f1664.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 448238887 | 4992 | 814.0793269230769 | 5.2.0 | 0 | -1 | |
| 1863bbe2-9c01-48a3-a58e-e2b77b71d6ca | https://datasets.cellxgene.cziscience.com/cef12323-c119-4307-a162-ec1359db15a5.h5ad | cef12323-c119-4307-a162-ec1359db15a5 | /mnt/scratch/spatial_soma/source_h5ad/cef12323-c119-4307-a162-ec1359db15a5.h5ad | Visium spatial - HCAHeartST11290662 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/cef12323-c119-4307-a162-ec1359db15a5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 645463705 | 4992 | 890.9935897435897 | 5.2.0 | 0 | -1 | |
| 1368fad2-916d-4ec0-a367-e750d0ab979e | https://datasets.cellxgene.cziscience.com/f878c3df-48b2-470d-ac6d-b2117aea8686.h5ad | f878c3df-48b2-470d-ac6d-b2117aea8686 | /mnt/scratch/spatial_soma/source_h5ad/f878c3df-48b2-470d-ac6d-b2117aea8686.h5ad | Visium spatial - HCAHeartST12992074 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/f878c3df-48b2-470d-ac6d-b2117aea8686.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 540934920 | 4992 | 1618.0274439102564 | 5.2.0 | 0 | -1 | |
| 0fe4d909-b1d9-471a-bb5d-ccc0b5a8374e | https://datasets.cellxgene.cziscience.com/5a57456f-8180-4af5-985b-1be261eb9a08.h5ad | 5a57456f-8180-4af5-985b-1be261eb9a08 | /mnt/scratch/spatial_soma/source_h5ad/5a57456f-8180-4af5-985b-1be261eb9a08.h5ad | Visium spatial - HCAHeartST8795937 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/5a57456f-8180-4af5-985b-1be261eb9a08.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 483624847 | 4992 | 1190.2191506410256 | 5.2.0 | 0 | -1 | |
| 090fede8-fac6-4bea-b6c4-6dedea5cca1c | https://datasets.cellxgene.cziscience.com/f9cefce0-1942-4846-99f2-2c7bca8c1208.h5ad | f9cefce0-1942-4846-99f2-2c7bca8c1208 | /mnt/scratch/spatial_soma/source_h5ad/f9cefce0-1942-4846-99f2-2c7bca8c1208.h5ad | Visium spatial - HCAHeartST9383352 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/f9cefce0-1942-4846-99f2-2c7bca8c1208.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 341052739 | 4992 | 434.46314102564105 | 5.2.0 | 0 | -1 | |
| 06379c09-d4cf-4c6f-8299-e0bc8879dbdf | https://datasets.cellxgene.cziscience.com/67c4d694-6401-4f89-8322-1cb3f2e52678.h5ad | 67c4d694-6401-4f89-8322-1cb3f2e52678 | /mnt/scratch/spatial_soma/source_h5ad/67c4d694-6401-4f89-8322-1cb3f2e52678.h5ad | Visium spatial - HCAHeartST10238253 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/67c4d694-6401-4f89-8322-1cb3f2e52678.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 381171578 | 4992 | 1118.740985576923 | 5.2.0 | 0 | -1 | |
| 04a0a043-1d65-489a-b203-7908780cc922 | https://datasets.cellxgene.cziscience.com/a8958502-02e4-4e3e-a3fd-41446af47093.h5ad | a8958502-02e4-4e3e-a3fd-41446af47093 | /mnt/scratch/spatial_soma/source_h5ad/a8958502-02e4-4e3e-a3fd-41446af47093.h5ad | Visium spatial - HCAHeartST9383356 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/a8958502-02e4-4e3e-a3fd-41446af47093.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 314242274 | 4992 | 205.13441506410257 | 5.2.0 | 0 | -1 | |
| 0491b0c6-4d09-45bf-b5ca-42088632c15c | https://datasets.cellxgene.cziscience.com/ee1afb36-d0b0-4129-bfee-28cc5593951c.h5ad | ee1afb36-d0b0-4129-bfee-28cc5593951c | /mnt/scratch/spatial_soma/source_h5ad/ee1afb36-d0b0-4129-bfee-28cc5593951c.h5ad | Visium spatial - HCAHeartST13228106 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/ee1afb36-d0b0-4129-bfee-28cc5593951c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 349537388 | 4992 | 1311.8545673076924 | 5.2.0 | 0 | -1 | |
| 03ad88c2-2faa-470f-9426-1c793fc5efed | https://datasets.cellxgene.cziscience.com/705df063-17f3-4d57-b265-a691af1d107f.h5ad | 705df063-17f3-4d57-b265-a691af1d107f | /mnt/scratch/spatial_soma/source_h5ad/705df063-17f3-4d57-b265-a691af1d107f.h5ad | Visium spatial - HCAHeartST9383355 (OCT) | Publication: https://doi.org/10.1038/s41586-023-06311-1 Dataset Version: https://datasets.cellxgene.cziscience.com/705df063-17f3-4d57-b265-a691af1d107f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/3116d060-0a8e-4767-99bb-e866badea1ed | 3116d060-0a8e-4767-99bb-e866badea1ed | Spatially resolved multiomics of human cardiac niches | 10.1038/s41586-023-06311-1 | Kanemaru et al. (2023) Nature | 413459319 | 4992 | 501.28745993589746 | 5.2.0 | 0 | -1 | |
| ff12e239-9292-4d25-bb0d-e4509b3bd92b | https://datasets.cellxgene.cziscience.com/80b24be8-6ba7-4e39-b282-7fd38b34c08a.h5ad | 80b24be8-6ba7-4e39-b282-7fd38b34c08a | /mnt/scratch/spatial_soma/source_h5ad/80b24be8-6ba7-4e39-b282-7fd38b34c08a.h5ad | Pla_HDBR9518710 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/80b24be8-6ba7-4e39-b282-7fd38b34c08a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 25935106 | 4992 | 1115.1157852564102 | 5.2.0 | 0 | -1 | |
| dfe8e072-94a7-4152-a16a-acab4621863b | https://datasets.cellxgene.cziscience.com/3a20eff0-7702-4395-8072-fe34bf0391ef.h5ad | 3a20eff0-7702-4395-8072-fe34bf0391ef | /mnt/scratch/spatial_soma/source_h5ad/3a20eff0-7702-4395-8072-fe34bf0391ef.h5ad | WS_PLA_S9101764 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/3a20eff0-7702-4395-8072-fe34bf0391ef.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 43165816 | 4992 | 2156.603966346154 | 5.2.0 | 0 | -1 | |
| dc5f82de-5919-4056-a2c8-c26d538d4418 | https://datasets.cellxgene.cziscience.com/8e199b0f-0368-43b9-bbe6-d48b569ec3a8.h5ad | 8e199b0f-0368-43b9-bbe6-d48b569ec3a8 | /mnt/scratch/spatial_soma/source_h5ad/8e199b0f-0368-43b9-bbe6-d48b569ec3a8.h5ad | WS_PLA_S9101767 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/8e199b0f-0368-43b9-bbe6-d48b569ec3a8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 45720127 | 4992 | 2143.0428685897436 | 5.2.0 | 0 | -1 | |
| d8440c8f-a5e7-4576-81ed-01b7f3a60598 | https://datasets.cellxgene.cziscience.com/cda41095-b6c8-44ac-9982-05035d172416.h5ad | cda41095-b6c8-44ac-9982-05035d172416 | /mnt/scratch/spatial_soma/source_h5ad/cda41095-b6c8-44ac-9982-05035d172416.h5ad | WS_PLA_S9101765 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/cda41095-b6c8-44ac-9982-05035d172416.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 43375369 | 4992 | 1965.1211939102564 | 5.2.0 | 0 | -1 | |
| c1568274-2af2-4cd5-b457-4e159cc18753 | https://datasets.cellxgene.cziscience.com/344fb18c-b450-471e-bc16-00556c1fa8e1.h5ad | 344fb18c-b450-471e-bc16-00556c1fa8e1 | /mnt/scratch/spatial_soma/source_h5ad/344fb18c-b450-471e-bc16-00556c1fa8e1.h5ad | WS_PLA_S9101769 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/344fb18c-b450-471e-bc16-00556c1fa8e1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 38545254 | 4992 | 1768.7972756410256 | 5.2.0 | 0 | -1 | |
| a1ea7856-890f-4ec4-8fd9-2b6354daa6a7 | https://datasets.cellxgene.cziscience.com/1c7c1305-0c13-4853-8ea6-fe3b936733db.h5ad | 1c7c1305-0c13-4853-8ea6-fe3b936733db | /mnt/scratch/spatial_soma/source_h5ad/1c7c1305-0c13-4853-8ea6-fe3b936733db.h5ad | WS_PLA_S9101766 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/1c7c1305-0c13-4853-8ea6-fe3b936733db.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 35505961 | 4992 | 1375.5332532051282 | 5.2.0 | 0 | -1 | |
| 993cf43f-3b5b-424e-a67a-6ccf0a328450 | https://datasets.cellxgene.cziscience.com/df0cdfb8-050c-49fc-a583-9ab04091fc65.h5ad | df0cdfb8-050c-49fc-a583-9ab04091fc65 | /mnt/scratch/spatial_soma/source_h5ad/df0cdfb8-050c-49fc-a583-9ab04091fc65.h5ad | Pla_Camb9518737 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/df0cdfb8-050c-49fc-a583-9ab04091fc65.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 41805080 | 4992 | 1802.4727564102564 | 5.2.0 | 0 | -1 | |
| 4887f277-b45c-49a6-8c8a-de89e75dc032 | https://datasets.cellxgene.cziscience.com/cdd4c58b-6893-4857-8f31-358bc4cfbd2b.h5ad | cdd4c58b-6893-4857-8f31-358bc4cfbd2b | /mnt/scratch/spatial_soma/source_h5ad/cdd4c58b-6893-4857-8f31-358bc4cfbd2b.h5ad | WS_PLA_S9101770 | Publication: https://doi.org/10.1038/s41586-023-05869-0 Dataset Version: https://datasets.cellxgene.cziscience.com/cdd4c58b-6893-4857-8f31-358bc4cfbd2b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/e2c257e7-6f79-487c-b81c-39451cd4ab3c | e2c257e7-6f79-487c-b81c-39451cd4ab3c | Spatial multiomics map of trophoblast development in early pregnancy | 10.1038/s41586-023-05869-0 | Arutyunyan et al. (2023) Nature | 39310052 | 4992 | 1801.1836939102564 | 5.2.0 | 0 | -1 | |
| fb09f8c3-cb71-480d-8919-d8afd2670b97 | https://datasets.cellxgene.cziscience.com/63571a3a-50df-4ec5-b327-812c787d8fe5.h5ad | 63571a3a-50df-4ec5-b327-812c787d8fe5 | /mnt/scratch/spatial_soma/source_h5ad/63571a3a-50df-4ec5-b327-812c787d8fe5.h5ad | visium spatial - sample v06 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/63571a3a-50df-4ec5-b327-812c787d8fe5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2073665723 | 4992 | 1567.623798076923 | 5.2.0 | 0 | -1 | |
| c45f05b3-aafc-4fce-a800-133a2364df64 | https://datasets.cellxgene.cziscience.com/bc4529f8-6fbf-49bf-85e7-e22bbd9e1722.h5ad | bc4529f8-6fbf-49bf-85e7-e22bbd9e1722 | /mnt/scratch/spatial_soma/source_h5ad/bc4529f8-6fbf-49bf-85e7-e22bbd9e1722.h5ad | visium spatial - sample v04 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/bc4529f8-6fbf-49bf-85e7-e22bbd9e1722.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 781256276 | 4992 | 893.0288461538462 | 5.2.0 | 0 | -1 | |
| a31525c0-a7ee-409e-a0ee-9bf4f507c7f1 | https://datasets.cellxgene.cziscience.com/98c9bf2b-4597-40f8-87bd-fa0a0d148dee.h5ad | 98c9bf2b-4597-40f8-87bd-fa0a0d148dee | /mnt/scratch/spatial_soma/source_h5ad/98c9bf2b-4597-40f8-87bd-fa0a0d148dee.h5ad | visium spatial - sample v03 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/98c9bf2b-4597-40f8-87bd-fa0a0d148dee.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 792899488 | 4992 | 1043.4983974358975 | 5.2.0 | 0 | -1 | |
| 87183784-5b2e-4de0-a960-cffdeb005a7d | https://datasets.cellxgene.cziscience.com/b29fa833-d4c7-4ec6-abf3-9d9a98c6cae1.h5ad | b29fa833-d4c7-4ec6-abf3-9d9a98c6cae1 | /mnt/scratch/spatial_soma/source_h5ad/b29fa833-d4c7-4ec6-abf3-9d9a98c6cae1.h5ad | visium spatial - sample v10 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/b29fa833-d4c7-4ec6-abf3-9d9a98c6cae1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2256864062 | 4992 | 1101.0206330128206 | 5.2.0 | 0 | -1 | |
| 6e96d93c-de27-4cb2-9ac1-051111ce2aff | https://datasets.cellxgene.cziscience.com/cbbafd53-4f9c-45b6-b309-56fab76a8f46.h5ad | cbbafd53-4f9c-45b6-b309-56fab76a8f46 | /mnt/scratch/spatial_soma/source_h5ad/cbbafd53-4f9c-45b6-b309-56fab76a8f46.h5ad | visium spatial - sample v08 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/cbbafd53-4f9c-45b6-b309-56fab76a8f46.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2383145789 | 4992 | 1756.1602564102564 | 5.2.0 | 0 | -1 | |
| 59f3a9d6-8bab-481d-8c42-766991595687 | https://datasets.cellxgene.cziscience.com/beb82776-83a0-4f5b-ba19-9a76bb0fc7ec.h5ad | beb82776-83a0-4f5b-ba19-9a76bb0fc7ec | /mnt/scratch/spatial_soma/source_h5ad/beb82776-83a0-4f5b-ba19-9a76bb0fc7ec.h5ad | visium spatial - sample v01 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/beb82776-83a0-4f5b-ba19-9a76bb0fc7ec.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 70865428 | 4992 | 1366.0711137820513 | 5.2.0 | 0 | -1 | |
| 49108ba9-1b7a-4a8a-9859-3d32e6a83926 | https://datasets.cellxgene.cziscience.com/1750a88d-9128-4dec-8671-763c9e8a783a.h5ad | 1750a88d-9128-4dec-8671-763c9e8a783a | /mnt/scratch/spatial_soma/source_h5ad/1750a88d-9128-4dec-8671-763c9e8a783a.h5ad | visium spatial - sample v02 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/1750a88d-9128-4dec-8671-763c9e8a783a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 59195737 | 4992 | 884.1909054487179 | 5.2.0 | 0 | -1 | |
| 31b49393-4485-4998-9ef4-33e03c4c1789 | https://datasets.cellxgene.cziscience.com/8978a080-a9f1-4586-91a3-add65e603c0e.h5ad | 8978a080-a9f1-4586-91a3-add65e603c0e | /mnt/scratch/spatial_soma/source_h5ad/8978a080-a9f1-4586-91a3-add65e603c0e.h5ad | visium spatial - sample v09 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/8978a080-a9f1-4586-91a3-add65e603c0e.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2223750643 | 4992 | 1626.081530448718 | 5.2.0 | 0 | -1 | |
| 2d3e3c41-3425-4450-9914-95ed7edf7752 | https://datasets.cellxgene.cziscience.com/93a62d5d-396d-4a77-ad47-1dcd924ca722.h5ad | 93a62d5d-396d-4a77-ad47-1dcd924ca722 | /mnt/scratch/spatial_soma/source_h5ad/93a62d5d-396d-4a77-ad47-1dcd924ca722.h5ad | visium spatial - sample v05 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/93a62d5d-396d-4a77-ad47-1dcd924ca722.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 1924915954 | 4992 | 1309.0062099358975 | 5.2.0 | 0 | -1 | |
| 170e9c52-5e8a-4ccf-99b6-d45b25b14614 | https://datasets.cellxgene.cziscience.com/960b4f66-a1ca-4a86-953e-6435c1579618.h5ad | 960b4f66-a1ca-4a86-953e-6435c1579618 | /mnt/scratch/spatial_soma/source_h5ad/960b4f66-a1ca-4a86-953e-6435c1579618.h5ad | visium spatial - sample v07 | Publication: https://doi.org/10.1038/s41586-023-06252-9 Dataset Version: https://datasets.cellxgene.cziscience.com/960b4f66-a1ca-4a86-953e-6435c1579618.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731 | 4195ab4c-20bd-4cd3-8b3d-65601277e731 | A spatially resolved single cell genomic atlas of the adult human breast | 10.1038/s41586-023-06252-9 | Kumar et al. (2023) Nature | 2012065879 | 4992 | 968.7980769230769 | 5.2.0 | 0 | -1 | |
| fcfd30bb-8367-490f-b5e0-7dcb69ea83f4 | https://datasets.cellxgene.cziscience.com/9a837652-62c0-45d6-b1fd-7adad40b1f08.h5ad | 9a837652-62c0-45d6-b1fd-7adad40b1f08 | /mnt/scratch/spatial_soma/source_h5ad/9a837652-62c0-45d6-b1fd-7adad40b1f08.h5ad | IZ_P16 (ACH0016)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/9a837652-62c0-45d6-b1fd-7adad40b1f08.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 220756697 | 4992 | 1225.7201522435898 | 5.2.0 | 0 | -1 | |
| f7cd2a61-2bdc-41c0-a845-32f66a62c2b6 | https://datasets.cellxgene.cziscience.com/fa073fa5-e84e-4fa0-b2f6-e96a0adbe704.h5ad | fa073fa5-e84e-4fa0-b2f6-e96a0adbe704 | /mnt/scratch/spatial_soma/source_h5ad/fa073fa5-e84e-4fa0-b2f6-e96a0adbe704.h5ad | FZ_GT_P19 (ACH008)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/fa073fa5-e84e-4fa0-b2f6-e96a0adbe704.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 182535516 | 4992 | 952.8553685897435 | 5.2.0 | 0 | -1 | |
| eaf8f9a3-52fd-46c9-a05d-92a52451a42c | https://datasets.cellxgene.cziscience.com/97848b4f-abed-4948-91c8-52401fbb0530.h5ad | 97848b4f-abed-4948-91c8-52401fbb0530 | /mnt/scratch/spatial_soma/source_h5ad/97848b4f-abed-4948-91c8-52401fbb0530.h5ad | IZ_P10 (ACH0014)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/97848b4f-abed-4948-91c8-52401fbb0530.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 196160637 | 4992 | 1884.6790865384614 | 5.2.0 | 0 | -1 | |
| bc86f972-c8d0-4ef1-b296-9f6dead700aa | https://datasets.cellxgene.cziscience.com/f254ab6a-b522-458b-af4c-df009bfcb7bb.h5ad | f254ab6a-b522-458b-af4c-df009bfcb7bb | /mnt/scratch/spatial_soma/source_h5ad/f254ab6a-b522-458b-af4c-df009bfcb7bb.h5ad | RZ_BZ_P3 (10X0026)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/f254ab6a-b522-458b-af4c-df009bfcb7bb.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 190807028 | 4992 | 2863.19671474359 | 5.2.0 | 0 | -1 | |
| 9eb5e239-740e-408b-a494-bfcf2fe8d05b | https://datasets.cellxgene.cziscience.com/32dcc7a2-963a-4b8e-bb0e-01d9664553b7.h5ad | 32dcc7a2-963a-4b8e-bb0e-01d9664553b7 | /mnt/scratch/spatial_soma/source_h5ad/32dcc7a2-963a-4b8e-bb0e-01d9664553b7.h5ad | RZ_P9 (ACH0023)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/32dcc7a2-963a-4b8e-bb0e-01d9664553b7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 186315490 | 4992 | 1206.2704326923076 | 5.2.0 | 0 | -1 | |
| 9849b046-445b-4460-a6d5-ce247c911a42 | https://datasets.cellxgene.cziscience.com/c2a32a8f-99d8-4045-b63a-4495c8340b88.h5ad | c2a32a8f-99d8-4045-b63a-4495c8340b88 | /mnt/scratch/spatial_soma/source_h5ad/c2a32a8f-99d8-4045-b63a-4495c8340b88.h5ad | FZ_GT_P4 (10X009)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/c2a32a8f-99d8-4045-b63a-4495c8340b88.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 148692083 | 4992 | 794.138421474359 | 5.2.0 | 0 | -1 | |
| 91d3b939-744f-45d3-b782-79196ed93612 | https://datasets.cellxgene.cziscience.com/16a08ab4-4ced-4dba-90f5-c9d90c598329.h5ad | 16a08ab4-4ced-4dba-90f5-c9d90c598329 | /mnt/scratch/spatial_soma/source_h5ad/16a08ab4-4ced-4dba-90f5-c9d90c598329.h5ad | IZ_BZ_P2 (10X0018)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/16a08ab4-4ced-4dba-90f5-c9d90c598329.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 167175746 | 4992 | 1802.274639423077 | 5.2.0 | 0 | -1 | |
| 8fb329fb-2801-494b-b1c9-8c01ca0e91bc | https://datasets.cellxgene.cziscience.com/04534182-19b0-48e9-ad87-dd32ab73f20c.h5ad | 04534182-19b0-48e9-ad87-dd32ab73f20c | /mnt/scratch/spatial_soma/source_h5ad/04534182-19b0-48e9-ad87-dd32ab73f20c.h5ad | GT_IZ_P13 (ACH0010)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/04534182-19b0-48e9-ad87-dd32ab73f20c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 172183263 | 4992 | 908.6039663461538 | 5.2.0 | 0 | -1 | |
| 87789c9c-c10d-47c8-ab63-5125a8e70216 | https://datasets.cellxgene.cziscience.com/0257045b-4992-412d-b361-a5265e5c1f0f.h5ad | 0257045b-4992-412d-b361-a5265e5c1f0f | /mnt/scratch/spatial_soma/source_h5ad/0257045b-4992-412d-b361-a5265e5c1f0f.h5ad | RZ_P11 (ACH0019)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/0257045b-4992-412d-b361-a5265e5c1f0f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 125307277 | 4992 | 754.9144631410256 | 5.2.0 | 0 | -1 | |
| 7f7d11a9-aa45-4b02-a263-35d88e4dcdd4 | https://datasets.cellxgene.cziscience.com/840a603a-6f2c-4722-b42e-58fb93410308.h5ad | 840a603a-6f2c-4722-b42e-58fb93410308 | /mnt/scratch/spatial_soma/source_h5ad/840a603a-6f2c-4722-b42e-58fb93410308.h5ad | RZ_GT_P2 (ACH0028)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/840a603a-6f2c-4722-b42e-58fb93410308.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 199002546 | 4992 | 1184.3946314102564 | 5.2.0 | 0 | -1 | |
| 77e04629-a8fa-4d34-bf5f-622d9aed9f35 | https://datasets.cellxgene.cziscience.com/892fd5c2-20cc-442c-af97-6ea1511d143f.h5ad | 892fd5c2-20cc-442c-af97-6ea1511d143f | /mnt/scratch/spatial_soma/source_h5ad/892fd5c2-20cc-442c-af97-6ea1511d143f.h5ad | control_P1 (10X001)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/892fd5c2-20cc-442c-af97-6ea1511d143f.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 166205221 | 4992 | 1647.0316506410256 | 5.2.0 | 0 | -1 | |
| 66dc396c-7d51-4ad0-b1a5-abd0d59d3d67 | https://datasets.cellxgene.cziscience.com/73e39e35-2287-4c86-bfb4-b6c65bb0fcd8.h5ad | 73e39e35-2287-4c86-bfb4-b6c65bb0fcd8 | /mnt/scratch/spatial_soma/source_h5ad/73e39e35-2287-4c86-bfb4-b6c65bb0fcd8.h5ad | RZ_BZ_P2 (10X0025)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/73e39e35-2287-4c86-bfb4-b6c65bb0fcd8.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 148069742 | 4992 | 1843.206530448718 | 5.2.0 | 0 | -1 | |
| 6476d8b6-1ad0-47b3-b243-846a08007311 | https://datasets.cellxgene.cziscience.com/3044ec4c-72e1-4912-b231-f6c3bf67fc59.h5ad | 3044ec4c-72e1-4912-b231-f6c3bf67fc59 | /mnt/scratch/spatial_soma/source_h5ad/3044ec4c-72e1-4912-b231-f6c3bf67fc59.h5ad | GT_IZ_P9 (ACH0012)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/3044ec4c-72e1-4912-b231-f6c3bf67fc59.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 234965248 | 4992 | 1868.6885016025642 | 5.2.0 | 0 | -1 | |
| 58af04fb-de1f-4ba3-8d19-d26610526f14 | https://datasets.cellxgene.cziscience.com/668c35fc-3f93-4507-9aaa-c5f843a29318.h5ad | 668c35fc-3f93-4507-9aaa-c5f843a29318 | /mnt/scratch/spatial_soma/source_h5ad/668c35fc-3f93-4507-9aaa-c5f843a29318.h5ad | control_P17 (ACH002)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/668c35fc-3f93-4507-9aaa-c5f843a29318.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 156987477 | 4992 | 775.4573317307693 | 5.2.0 | 0 | -1 | |
| 51a4096f-9fe3-49df-b201-6877a1f67868 | https://datasets.cellxgene.cziscience.com/d8377cb0-2a6a-4732-8b41-778cfbd374c5.h5ad | d8377cb0-2a6a-4732-8b41-778cfbd374c5 | /mnt/scratch/spatial_soma/source_h5ad/d8377cb0-2a6a-4732-8b41-778cfbd374c5.h5ad | RZ_P3 (10X0020)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/d8377cb0-2a6a-4732-8b41-778cfbd374c5.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 165610656 | 4992 | 2275.089142628205 | 5.2.0 | 0 | -1 | |
| 4fd2ee79-ab3a-4827-a773-1b7dcd099307 | https://datasets.cellxgene.cziscience.com/bb559fee-02f7-4997-885e-a6bfd73d748b.h5ad | bb559fee-02f7-4997-885e-a6bfd73d748b | /mnt/scratch/spatial_soma/source_h5ad/bb559fee-02f7-4997-885e-a6bfd73d748b.h5ad | control_P7 (ACH003)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/bb559fee-02f7-4997-885e-a6bfd73d748b.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 181942177 | 4992 | 1072.6991185897436 | 5.2.0 | 0 | -1 | |
| 4c367cfb-fd4c-4505-bac9-5456f4fb3a44 | https://datasets.cellxgene.cziscience.com/531aa52a-7b7c-4e5d-ab6e-f0f0fbff6968.h5ad | 531aa52a-7b7c-4e5d-ab6e-f0f0fbff6968 | /mnt/scratch/spatial_soma/source_h5ad/531aa52a-7b7c-4e5d-ab6e-f0f0fbff6968.h5ad | IZ_P3 (10X0017)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/531aa52a-7b7c-4e5d-ab6e-f0f0fbff6968.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 165115666 | 4992 | 1991.0 | 5.2.0 | 0 | -1 | |
| 4a6e55f0-a01e-46b5-9c49-8ecfdf042c71 | https://datasets.cellxgene.cziscience.com/567a0d3a-bcce-42c6-9079-34f25459a941.h5ad | 567a0d3a-bcce-42c6-9079-34f25459a941 | /mnt/scratch/spatial_soma/source_h5ad/567a0d3a-bcce-42c6-9079-34f25459a941.h5ad | GT_IZ_P15 (ACH0011)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/567a0d3a-bcce-42c6-9079-34f25459a941.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 234652043 | 4992 | 2659.2101362179487 | 5.2.0 | 0 | -1 | |
| 49a896ee-ac93-480a-8b58-19afa747d6b9 | https://datasets.cellxgene.cziscience.com/d5b5fb1d-42e9-4fd1-94f2-acd030613234.h5ad | d5b5fb1d-42e9-4fd1-94f2-acd030613234 | /mnt/scratch/spatial_soma/source_h5ad/d5b5fb1d-42e9-4fd1-94f2-acd030613234.h5ad | FZ_P20 (ACH007)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/d5b5fb1d-42e9-4fd1-94f2-acd030613234.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 200623764 | 4992 | 747.7786458333334 | 5.2.0 | 0 | -1 | |
| 32513e13-8f4a-4418-b4d5-faac85fa430d | https://datasets.cellxgene.cziscience.com/80790899-28bb-4c5c-ba09-20fce51a09b7.h5ad | 80790899-28bb-4c5c-ba09-20fce51a09b7 | /mnt/scratch/spatial_soma/source_h5ad/80790899-28bb-4c5c-ba09-20fce51a09b7.h5ad | GT_IZ_P9_rep2 (ACH0013)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/80790899-28bb-4c5c-ba09-20fce51a09b7.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 260369359 | 4992 | 3114.2337740384614 | 5.2.0 | 0 | -1 | |
| 2257d8b0-7385-48b8-8dca-c5772592c5ea | https://datasets.cellxgene.cziscience.com/3522f056-504f-4cba-ad68-16be4f1647ce.h5ad | 3522f056-504f-4cba-ad68-16be4f1647ce | /mnt/scratch/spatial_soma/source_h5ad/3522f056-504f-4cba-ad68-16be4f1647ce.h5ad | control_P8 (ACH004)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/3522f056-504f-4cba-ad68-16be4f1647ce.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 160909726 | 4992 | 974.6550480769231 | 5.2.0 | 0 | -1 | |
| 1f2630df-fa28-4ebc-9e91-b870c93fc68a | https://datasets.cellxgene.cziscience.com/5f3c2c5a-6d52-444c-985c-21f2f8b8a227.h5ad | 5f3c2c5a-6d52-444c-985c-21f2f8b8a227 | /mnt/scratch/spatial_soma/source_h5ad/5f3c2c5a-6d52-444c-985c-21f2f8b8a227.h5ad | RZ_FZ_P5 (10X0027)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/5f3c2c5a-6d52-444c-985c-21f2f8b8a227.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 145100355 | 4992 | 1601.7239583333333 | 5.2.0 | 0 | -1 | |
| 1c50055f-6add-4035-b592-9e52a729663e | https://datasets.cellxgene.cziscience.com/c3dcc20f-08b7-46fe-9464-ab3622eb6748.h5ad | c3dcc20f-08b7-46fe-9464-ab3622eb6748 | /mnt/scratch/spatial_soma/source_h5ad/c3dcc20f-08b7-46fe-9464-ab3622eb6748.h5ad | FZ_P14 (ACH005)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/c3dcc20f-08b7-46fe-9464-ab3622eb6748.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 192272970 | 4992 | 1219.5472756410256 | 5.2.0 | 0 | -1 | |
| 1a0aec1a-e465-4bea-aaba-a6d58d0ba2c1 | https://datasets.cellxgene.cziscience.com/50a999f4-8a92-43c6-82b5-84d8d20b6f80.h5ad | 50a999f4-8a92-43c6-82b5-84d8d20b6f80 | /mnt/scratch/spatial_soma/source_h5ad/50a999f4-8a92-43c6-82b5-84d8d20b6f80.h5ad | RZ_P6 (ACH0022)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/50a999f4-8a92-43c6-82b5-84d8d20b6f80.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 202794176 | 4992 | 1703.9190705128206 | 5.2.0 | 0 | -1 | |
| 1017c6ce-80a5-492e-a82e-54b34a3c9f0b | https://datasets.cellxgene.cziscience.com/8e750d56-de7e-467e-8f65-552ed86fb1c2.h5ad | 8e750d56-de7e-467e-8f65-552ed86fb1c2 | /mnt/scratch/spatial_soma/source_h5ad/8e750d56-de7e-467e-8f65-552ed86fb1c2.h5ad | FZ_P18 (ACH006)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/8e750d56-de7e-467e-8f65-552ed86fb1c2.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 169541885 | 4992 | 687.1961137820513 | 5.2.0 | 0 | -1 | |
| 0fe5eed4-bcbc-4c00-a388-00bc1455a9b7 | https://datasets.cellxgene.cziscience.com/af9d943a-bc3b-4466-8cbb-520704c8f34c.h5ad | af9d943a-bc3b-4466-8cbb-520704c8f34c | /mnt/scratch/spatial_soma/source_h5ad/af9d943a-bc3b-4466-8cbb-520704c8f34c.h5ad | IZ_P15 (ACH0015)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/af9d943a-bc3b-4466-8cbb-520704c8f34c.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 221659370 | 4992 | 2373.166466346154 | 5.2.0 | 0 | -1 | |
| 05d4a216-5384-4724-bd2a-2ea38f02e7cc | https://datasets.cellxgene.cziscience.com/8c0083fc-be05-437f-936f-d447f50c5094.h5ad | 8c0083fc-be05-437f-936f-d447f50c5094 | /mnt/scratch/spatial_soma/source_h5ad/8c0083fc-be05-437f-936f-d447f50c5094.h5ad | RZ_BZ_P12 (ACH0024)-Spatial multi-omic map of human myocardial infarction | Publication: https://doi.org/10.1038/s41586-022-05060-x Dataset Version: https://datasets.cellxgene.cziscience.com/8c0083fc-be05-437f-936f-d447f50c5094.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77 | 8191c283-0816-424b-9b61-c3e1d6258a77 | Spatial multi-omic map of human myocardial infarction | 10.1038/s41586-022-05060-x | Kuppe et al. (2022) Nature | 197717507 | 4992 | 1250.0841346153845 | 5.2.0 | 0 | -1 | |
| b9b4cf27-9c22-410d-8bd8-5d43e379485b | https://datasets.cellxgene.cziscience.com/c255a811-d3c4-4620-a321-899685a6e656.h5ad | c255a811-d3c4-4620-a321-899685a6e656 | /mnt/scratch/spatial_soma/source_h5ad/c255a811-d3c4-4620-a321-899685a6e656.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A9 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/c255a811-d3c4-4620-a321-899685a6e656.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 58111292 | 4992 | 1230.9771634615386 | 5.2.0 | 0 | -1 | |
| 2d66790a-6621-4a49-8f0d-4002db5cc98d | https://datasets.cellxgene.cziscience.com/7800ea19-eb17-4af9-bf6e-700a2fd99531.h5ad | 7800ea19-eb17-4af9-bf6e-700a2fd99531 | /mnt/scratch/spatial_soma/source_h5ad/7800ea19-eb17-4af9-bf6e-700a2fd99531.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A8 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/7800ea19-eb17-4af9-bf6e-700a2fd99531.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 97015407 | 4992 | 1271.4505208333333 | 5.2.0 | 0 | -1 | |
| 08e94873-c2a6-4f7d-ab72-aeaff3e3f929 | https://datasets.cellxgene.cziscience.com/94d5d970-2346-443c-adb6-1095f4f6be3a.h5ad | 94d5d970-2346-443c-adb6-1095f4f6be3a | /mnt/scratch/spatial_soma/source_h5ad/94d5d970-2346-443c-adb6-1095f4f6be3a.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A7 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/94d5d970-2346-443c-adb6-1095f4f6be3a.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 59792802 | 4992 | 816.5572916666666 | 5.2.0 | 0 | -1 | |
| aa0b5adb-957d-4f15-ab83-2c5cc2843f77 | https://datasets.cellxgene.cziscience.com/2bf7647b-fb77-424d-acab-ba5f742617a1.h5ad | 2bf7647b-fb77-424d-acab-ba5f742617a1 | /mnt/scratch/spatial_soma/source_h5ad/2bf7647b-fb77-424d-acab-ba5f742617a1.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A6 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/2bf7647b-fb77-424d-acab-ba5f742617a1.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 73913658 | 4992 | 854.7842548076923 | 5.2.0 | 0 | -1 | |
| abd889c6-f60a-4fbd-924e-ee1e9dcf909b | https://datasets.cellxgene.cziscience.com/bf557ab7-7b91-489a-91d8-02d6c7f88942.h5ad | bf557ab7-7b91-489a-91d8-02d6c7f88942 | /mnt/scratch/spatial_soma/source_h5ad/bf557ab7-7b91-489a-91d8-02d6c7f88942.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A4 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/bf557ab7-7b91-489a-91d8-02d6c7f88942.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 78316164 | 4992 | 1251.0486778846155 | 5.2.0 | 0 | -1 | |
| 774de9c6-9752-4e39-89a9-2a88c869d52a | https://datasets.cellxgene.cziscience.com/94691346-2aad-4018-932c-834cbc1fa5a4.h5ad | 94691346-2aad-4018-932c-834cbc1fa5a4 | /mnt/scratch/spatial_soma/source_h5ad/94691346-2aad-4018-932c-834cbc1fa5a4.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Fetal A3 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/94691346-2aad-4018-932c-834cbc1fa5a4.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 77530199 | 4992 | 1290.701923076923 | 5.2.0 | 0 | -1 | |
| 9dfd2243-74d6-4924-86bd-c206ca9287b1 | https://datasets.cellxgene.cziscience.com/feac32f0-0c00-46ff-a18c-6e4883dc19e6.h5ad | feac32f0-0c00-46ff-a18c-6e4883dc19e6 | /mnt/scratch/spatial_soma/source_h5ad/feac32f0-0c00-46ff-a18c-6e4883dc19e6.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Adult A2 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/feac32f0-0c00-46ff-a18c-6e4883dc19e6.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 97037223 | 4992 | 1328.0060096153845 | 5.2.0 | 0 | -1 | |
| 4506d9e3-4543-4464-aeae-b0b04eee1cea | https://datasets.cellxgene.cziscience.com/0bd87ac7-1766-430b-8d9e-f3dfd880eaaf.h5ad | 0bd87ac7-1766-430b-8d9e-f3dfd880eaaf | /mnt/scratch/spatial_soma/source_h5ad/0bd87ac7-1766-430b-8d9e-f3dfd880eaaf.h5ad | Spatiotemporal analysis of human intestinal development at single-cell resolution: Adult A1 | Publication: https://doi.org/10.1016/j.cell.2020.12.016 Dataset Version: https://datasets.cellxgene.cziscience.com/0bd87ac7-1766-430b-8d9e-f3dfd880eaaf.h5ad curated and distributed by CZ CELLxGENE Discover in Collection: https://cellxgene.cziscience.com/collections/60358420-6055-411d-ba4f-e8ac80682a2e | 60358420-6055-411d-ba4f-e8ac80682a2e | Spatiotemporal analysis of human intestinal development at single-cell resolution | 10.1016/j.cell.2020.12.016 | Fawkner-Corbett et al. (2021) Cell | 91779894 | 4992 | 997.9228766025641 | 5.2.0 | 0 | -1 |
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