JervenBolleman

for iri in $(wget -q --header "accept:text/csv" "https://query.wikidata.org/sparql?query=SELECT DISTINCT ?iri WHERE { [] wdt:P5305 ?iri }" -O -|grep -oP '^http[\S]+')
do
  echo "isql $port $user $password exec='LOAD SERVICE <$iri> DATA;'";
done

ErikAugust

#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#ifdef _MSC_VER
#include <intrin.h> /* for rdtscp and clflush */
#pragma optimize("gt",on)
#else
#include <x86intrin.h> /* for rdtscp and clflush */
#endif

samuell

#!/usr/bin/env python
from sys import stdin, stdout
import csv

rdr = csv.reader(stdin, delimiter='\t')
wrt = csv.writer(stdout, delimiter='\t')

vals = []
rows = []
for row in rdr:

egonw

SELECT ?entity ?desc ?author ?wd_author WHERE {
  ?entity wdt:P31 wd:Q13442814. #filter by scientific articles
  ?entity wdt:P2093 ?wd_author.
  FILTER(regex(?wd_author, "B.*Feringa"))
  ?entity rdfs:label ?desc.
  FILTER((LANG(?desc)) = "en").
}

vcnainala

MetaboLightsID	ChEBIID	CompoundName	KEGGPathwaysMappings	MTBLSMapping
MTBLC100	CHEBI:100	(-)-medicarpin	Isoflavonoid biosynthesis; Biosynthesis of phenylpropanoids; Biosynthesis of secondary metabolites	-
MTBLC100241	CHEBI:100241	ciprofloxacin	ABC transporters	-
MTBLC10072	CHEBI:10072	xanthurenic acid	Tryptophan metabolism	MTBLS20 (Homo sapiens (Human)); MTBLS71 (Homo sapiens); 
MTBLC10136	CHEBI:10136	gingerol	Stilbenoid, diarylheptanoid and gingerol biosynthesis; Biosynthesis of secondary metabolites	MTBLS49 (Trypanosoma brucei brucei); 
MTBLC10280	CHEBI:10280	(E,E)-alpha-farnesene	Sesquiterpenoid and triterpenoid biosynthesis; Biosynthesis of secondary metabolites	-
MTBLC10319	CHEBI:10319	1-naphthol	Metabolism of xenobiotics by cytochrome P450; Naphthalene family	-
MTBLC10352	CHEBI:10352	beta-amyrin	Sesquiterpenoid and triterpenoid biosynthesis; Biosynthesis of terpenoids and steroids; Biosynthesis of secondary metabolites	MTBLS215 (reference compound); 
MTBLC10360	CHEBI:10360	(R)-(+)-citronellol	Geraniol d

egonw

select distinct ?Concept1 ?p ?Concept2 where {
  ?res1 a ?Concept1 .
  ?res2 a ?Concept2 .
  ?res1 ?p ?res2 .
  FILTER(?Concept1 != ?Concept2)
}

lindenb

all: sql2rdf.jar
	curl -s "http://ebi.edu.au/ftp/databases/chembl/ChEMBLdb/releases/chembl_20/chembl_20_mysql.tar.gz" |\
	tar  xOvzf -  chembl_20_mysql/chembl_20.mysqldump.sql |\
	java -cp sql2rdf.jar SQLToRDF

sql2rdf.jar : SQL2RDF.jj
	javacc SQL2RDF.jj ## tested with javacc 5.0
	javac SQLToRDF.java
	jar cvf $@ *.class

andrawaag

% Language Definition for GPML
\usepackage{color}
\definecolor{gray}{rgb}{0.4,0.4,0.4}
\definecolor{darkblue}{rgb}{0.0,0.0,0.6}
\definecolor{cyan}{rgb}{0.0,0.6,0.6}

\lstset{
  basicstyle=\ttfamily,
  columns=fullflexible,
  showstringspaces=false,

egonw

10.1186/1758-2946-1-1
10.1186/1758-2946-1-2
10.1186/1758-2946-1-3
10.1186/1758-2946-1-4
10.1186/1758-2946-1-5
10.1186/1758-2946-1-6
10.1186/1758-2946-1-7
10.1186/1758-2946-1-8
10.1186/1758-2946-1-9
10.1186/1758-2946-1-10

jebyrnes

#load the excellent methods to query polls
#linked to at http://alandgraf.blogspot.com/2012/11/quick-post-about-getting-and-plotting.html
source("https://raw.github.com/dlinzer/pollstR/master/pollsterAPI.R")

#get the MA Senate Race
datMass <- pollstR(chart="2012-massachusetts-senate-brown-vs-warren",pages="all")

#reshape the data for plotting
library(reshape2)
dm <- melt.data.frame(datMass, id.vars=c("start.date", "N"), measure.vars=c("Warren", "Brown"))