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{
    "@context": {
        "@vocab": "https://schema.org/"
    },
    "@type": "Dataset",
    "@id": "https://registry.org/permanentUrlToThisJsonDoc",
    "name": "Argovis' representation of the Argo dataset",
    "description": "Argovis provides a representation of the profiles collected over the lifetime of the Argo program. This representation is intended to present an interpretation of Argo data that is lightly simplified from the original product, but still appropriate for a large majority of scientific and educational use cases. Simplifications include presenting delayed (better corrected and QCed) mode data where available; presenting interpolated biogeochemical data only; and merging core and bioogeochemical data collected in parallel into unified oceanic profiles. For an introduction to using the Argovis API to access Argo data in Python, see https://github.com/argovis/demo_notebooks/blob/main/Intro_to_Argovis.ipynb.",
    "url": "https://argovis.colorado.edu/argourlhelper",
    "license": "https://

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from dateutil import rrule
from datetime import datetime

def get_selection_profiles_loop(start, end, shape, pres):
    
    now = datetime.strptime(start, "%Y-%m-%d")
    later = datetime.strptime(end, "%Y-%m-%d")

    previous = start
    profiles = []

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FROM python:3.6
WORKDIR /usr/src/argo-database
COPY ./requirements.txt ./requirements.txt
RUN apt-get update && \
    apt-get --assume-yes install libhdf5-serial-dev netcdf-bin libnetcdf-dev nano
RUN pip install -r requirements.txt
RUN pip install wget==3.2

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from wodpy import wod

def find_instrument_code(profile, varcode):
    '''
    given a wodpy profile and a variable code varcode as defined in table 3 of [reference 1],
    return the instrument code from [reference 2] associated with this measurement, if it is available;
    if not, return None.
    [reference 1]: https://www.ncei.noaa.gov/data/oceans/woa/WOD/DOC/wodreadme.pdf
    [reference 2]: https://www.ncei.noaa.gov/data/oceans/woa/WOD/CODES/PDF/v_5_instrument.pdf
    '''

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---
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
  name: psp.flannel.unprivileged
  annotations:
    seccomp.security.alpha.kubernetes.io/allowedProfileNames: docker/default
    seccomp.security.alpha.kubernetes.io/defaultProfileName: docker/default
    apparmor.security.beta.kubernetes.io/allowedProfileNames: runtime/default
    apparmor.security.beta.kubernetes.io/defaultProfileName: runtime/default

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---
# Source: calico/templates/calico-config.yaml
# This ConfigMap is used to configure a self-hosted Calico installation.
kind: ConfigMap
apiVersion: v1
metadata:
  name: calico-config
  namespace: kube-system
data:
  # Typha is disabled.

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import io, pickle, sqlite3, sys, pandas
import numpy as np

def parse(results):
    return results.apply(unpack_qc)

def unpack_qc(value):
    print(value, type(value))
    qc = np.load(io.BytesIO(value))

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version: "3.6"

services:
  database:
    environment:
      POSTGRES_DB: ddev
      POSTGRES_PASSWORD_FILE: /run/secrets/postgres-password
    image: ${dockerID}/ddev_db
    build:
      context: database

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apiVersion: apps/v1
kind: Deployment
metadata:
  name: bb-database
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      bb: db

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version: '3.7'

services:
  bb-db:
    image: ${dockerId}/bb-db:v2
    networks:
      - bb-net
    volumes:
      - sqlbackup:/var/opt/mssql