Awesome Public Datasets
=======================

`This list of public data sources <https://github.com/caesar0301/awesome-public-datasets>`_
are collected and tidyed from blogs, answers, and user reponses.
Most of the data sets listed below are free, however, some are not.
Other amazingly awesome lists can be found in the
`awesome-awesomeness <https://github.com/bayandin/awesome-awesomeness>`_ and
`another awesome <https://github.com/sindresorhus/awesome>`_ list.


Agriculture
------------
* `U.S. Department of Agriculture's PLANTS Database <http://www.plants.usda.gov/dl_all.html>`_


Biology
-------

* `1000 Genomes <http://www.1000genomes.org/data>`_
* `Collaborative Research in Computational Neuroscience (CRCNS) <http://crcns.org/data-sets>`_
* `Gene Expression Omnibus (GEO) <http://www.ncbi.nlm.nih.gov/geo/>`_
* `Human Microbiome Project (HMP) <http://www.hmpdacc.org/reference_genomes/reference_genomes.php>`_
* `ICOS PSP Benchmark <http://www.infobiotic.net/PSPbenchmarks/>`_
* `MIT Cancer Genomics Data <http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi>`_
* `NIH Microarray data (FTP) <http://bit.do/VVW6>`_
* `Protein Data Bank <http://pdb.org/>`_
* `PubChem Project <https://pubchem.ncbi.nlm.nih.gov/>`_
* `PubGene (now Coremine Medical) <http://www.pubgene.org/>`_
* `Stanford Microarray Data <http://smd.stanford.edu/>`_
* `The Personal Genome Project <http://www.personalgenomes.org/>`_ or `PGP <https://my.pgp-hms.org/public_genetic_data>`_
* `UCSC Public Data <http://hgdownload.soe.ucsc.edu/downloads.html>`_
* `UniGene <http://www.ncbi.nlm.nih.gov/unigene>`_


Climate/Weather
---------------

* `Australian Weather <http://www.bom.gov.au/climate/dwo/>`_
* `Canadian Meteorological Centre <https://weather.gc.ca/grib/index_e.html>`_
* `Climate Data from UEA (updated monthly) <http://www.cru.uea.ac.uk/cru/data/temperature/#datter and ftp://ftp.cmdl.noaa.gov/>`_
* `Global Climate Data Since 1929 <http://www.tutiempo.net/en/Climate>`_
* `NOAA Bering Sea Climate <http://www.beringclimate.noaa.gov/>`_
* `NOAA Climate Datasets <http://ncdc.noaa.gov/data-access/quick-links>`_
* `NOAA Realtime Weather Models <http://www.ncdc.noaa.gov/data-access/model-data/model-datasets/numerical-weather-prediction>`_
* `WU Historical Weather Worldwide <http://www.wunderground.com/history/index.html>`_


Complex Networks
----------------

* `CrossRef DOI URLs <https://archive.org/details/doi-urls>`_
* `DBLP Citation dataset <https://kdl.cs.umass.edu/display/public/DBLP>`_
* `NBER Patent Citations <http://nber.org/patents/>`_
* `NIST complex networks data collection <http://math.nist.gov/~RPozo/complex_datasets.html>`_
* `Protein-protein interaction network <http://vlado.fmf.uni-lj.si/pub/networks/data/bio/Yeast/Yeast.htm>`_
* `PyPI and Maven Dependency Network <http://ogirardot.wordpress.com/2013/01/31/sharing-pypimaven-dependency-data/>`_
* `Scopus Citation Database <http://www.elsevier.com/online-tools/scopus>`_
* `Stanford GraphBase (Steven Skiena) <http://www3.cs.stonybrook.edu/~algorith/implement/graphbase/implement.shtml>`_
* `Stanford Large Network Dataset Collection <http://snap.stanford.edu/data/>`_
* `The Koblenz Network Collection <http://konect.uni-koblenz.de/>`_
* `The Laboratory for Web Algorithmics (UNIMI) <http://law.di.unimi.it/datasets.php>`_
* `UCI Network Data Repository <http://networkdata.ics.uci.edu/resources.php>`_
* `UFL sparse matrix collection <http://www.cise.ufl.edu/research/sparse/matrices/>`_
* `WSU Graph Database <http://www.eecs.wsu.edu/mgd/gdb.html>`_


Computer Networks
-----------------

* `3.5B Web Pages from CommonCraw 2012 <http://www.bigdatanews.com/profiles/blogs/big-data-set-3-5-billion-web-pages-made-available-for-all-of-us>`_
* `53.5B Web clicks of 100K users in Indiana Univ. <http://cnets.indiana.edu/groups/nan/webtraffic/click-dataset>`_
* `CAIDA Internet Datasets <http://www.caida.org/data/overview/>`_
* `ClueWeb09 - 1B web pages <http://lemurproject.org/clueweb09/>`_
* `ClueWeb12 - 733M web pages <http://lemurproject.org/clueweb12/>`_
* `CommonCrawl Web Data over 7 years <http://commoncrawl.org/the-data/get-started/>`_
* `CRAWDAD Wireless datasets from Dartmouth Univ. <http://crawdad.cs.dartmouth.edu/>`_
* `Open Mobile Data by MobiPerf <https://console.developers.google.com/storage/openmobiledata_public/>`_
* `UCSD Network Telescope, IPv4 /8 net <http://www.caida.org/projects/network_telescope/>`_


Data Challenges
---------------

* `Challenges in Machine Learning <http://www.chalearn.org/>`_
* `DrivenData Competitions for Social Good <http://www.drivendata.org/>`_
* `ICWSM Data Challenge (since 2009) <http://icwsm.cs.umbc.edu/>`_
* `Kaggle Competition Data <http://www.kaggle.com/>`_
* `KDD Cup by Tencent 2012 <https://www.kddcup2012.org/>`_
* `Localytics Data Visualization Challenge <https://github.com/localytics/data-viz-challenge>`_
* `Netflix Prize <http://www.netflixprize.com/leaderboard>`_
* `Yelp Dataset Challenge <http://www.yelp.com/dataset_challenge>`_


Economics
---------

* `American Economic Ass (AEA) <http://www.aeaweb.org/RFE/toc.php?show=complete>`_
* `EconData from UMD <http://inforumweb.umd.edu/econdata/econdata.html>`_
* `Internet Product Code Database <http://www.upcdatabase.com/>`_


Energy
------

* `AMPds <http://ampds.org/>`_
* `BLUEd <http://nilm.cmubi.org/>`_
* `COMBED <http://combed.github.io/>`_
* `Dataport <https://dataport.pecanstreet.org/>`_
* `ECO <http://www.vs.inf.ethz.ch/res/show.html?what=eco-data>`_
* `EIA <http://www.eia.gov/electricity/data/eia923/>`_
* `HFED <http://hfed.github.io/>`_
* `iAWE <http://iawe.github.io/>`_
* `Plaid <http://plaidplug.com/>`_
* `REDD <http://redd.csail.mit.edu/>`_
* `UK-Dale <http://www.doc.ic.ac.uk/~dk3810/data/>`_


Finance
-------

* `CBOE Futures Exchange <http://cfe.cboe.com/Data/>`_
* `Google Finance <https://www.google.com/finance>`_
* `Google Trends <http://www.google.com/trends?q=google&ctab=0&geo=all&date=all&sort=0>`_
* `NASDAQ <https://data.nasdaq.com/>`_
* `OANDA <http://www.oanda.com/>`_
* `OSU Financial data <http://fisher.osu.edu/fin/fdf/osudata.htm>`_
* `Quandl <http://www.quandl.com/>`_
* `St Louis Federal <http://research.stlouisfed.org/fred2/>`_
* `Yahoo Finance <http://finance.yahoo.com/>`_


GeoSpace/GIS
------------

* `BODC - marine data of ~22K vars <http://www.bodc.ac.uk/data/where_to_find_data/>`_
* `Cambridge, MA, US, GIS data on GitHub <http://cambridgegis.github.io/gisdata.html>`_
* `EOSDIS - NASA's earth observing system data <http://sedac.ciesin.columbia.edu/data/sets/browse>`_
* `Factual Global Location Data <http://www.factual.com/>`_
* `Geo Spatial Data from ASU <http://geodacenter.asu.edu/datalist/>`_
* `GeoNames Worldwide <http://www.geonames.org/>`_
* `Global Administrative Areas Database (GADM) <http://www.gadm.org/>`_
* `Natural Earth - vectors and rasters of the world <http://www.naturalearthdata.com/>`_
* `Open Street Map (OSM) <http://wiki.openstreetmap.org/wiki/Downloading_data>`_
* `TIGER/Line - U.S. boundaries and roads <http://www.census.gov/geo/maps-data/data/tiger-line.html>`_
* `TwoFishes - Foursquare's coarse geocoder <https://github.com/foursquare/twofishes>`_
* `TZ Timezones shapfiles <http://efele.net/maps/tz/world/>`_


Government
----------

* `Australia (abs.gov.au) <http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3301.02009?OpenDocument>`_
* `Australia (data.gov.au) <https://data.gov.au/>`_
* `Brazil <http://dados.gov.br/dataset>`_
* `Cambridge, MA, US <https://data.cambridgema.gov/>`_
* `Canada <http://www.data.gc.ca/default.asp?lang=En&n=5BCD274E-1>`_
* `Chicago <https://data.cityofchicago.org/>`_
* `Dallas Open Data <https://www.dallasopendata.com/>`_
* `Denver Open Data <http://data.denvergov.org//>`_
* `EuroStat <http://ec.europa.eu/eurostat/data/database>`_
* `FedStats <http://www.fedstats.gov/cgi-bin/A2Z.cgi>`_
* `France <https://www.data.gouv.fr/en/datasets/>`_
* `Germany <https://www-genesis.destatis.de/genesis/online>`_
* `Glasgow, Scotland, UK <http://data.glasgow.gov.uk/>`_
* `Guardian world governments <http://www.guardian.co.uk/world-government-data>`_
* `Indian Government  <http://www.data.gov.in>`_
* `London Datastore, UK <http://data.london.gov.uk/dataset>`_
* `MassGIS, Massachusetts, U.S. <http://www.mass.gov/anf/research-and-tech/it-serv-and-support/application-serv/office-of-geographic-information-massgis/>`_
* `Netherlands <https://data.overheid.nl/>`_
* `New Zealand <http://www.stats.govt.nz/browse_for_stats.aspx>`_
* `NYC betanyc <http://betanyc.us/>`_
* `NYC Open Data <http://nycplatform.socrata.com/>`_
* `OECD <http://www.oecd.org/document/0,3746,en_2649_201185_46462759_1_1_1_1,00.html>`_
* `Open Government Data (OGD) Platform India <http://www.data.gov.in/>`_
* `San Francisco Data sets <http://datasf.org/>`_
* `Seattle <https://data.seattle.gov/>`_
* `South Africa <http://beta2.statssa.gov.za/>`_
* `The World Bank <http://wdronline.worldbank.org/>`_
* `U.K. Government Data <http://data.gov.uk/data>`_
* `U.S. American Community Survey <http://www.census.gov/acs/www/data_documentation/data_release_info/>`_
* `U.S. CDC Public Health datasets <http://www.cdc.gov/nchs/data_access/ftp_data.htm>`_
* `U.S. Census Bureau <http://www.census.gov/data.html>`_
* `U.S. Department of Housing and Urban Development (HUD) <http://www.huduser.org/portal/datasets/pdrdatas.html>`_
* `U.S. Federal Government Agencies <http://www.data.gov/metric>`_
* `U.S. Federal Government Data Catalog <http://catalog.data.gov/dataset>`_
* `U.S. Food and Drug Administration (FDA) <https://open.fda.gov/index.html>`_
* `U.S. Open Government <http://www.data.gov/open-gov/>`_
* `UK 2011 Census Open Atlas Project <http://www.alex-singleton.com/2011-census-open-atlas-project/>`_
* `United Nations <http://data.un.org/>`_


Healthcare
----------

* `EHDP Large Health Data Sets <http://www.ehdp.com/vitalnet/datasets.htm>`_
* `Gapminder World, demographic databases <http://www.gapminder.org/data/>`_
* `Medicare Coverage Database (MCD), U.S. <http://www.cms.gov/medicare-coverage-database/>`_
* `Medicare Data Engine of medicare.gov Data <https://data.medicare.gov/>`_
* `Medicare Data File <http://go.cms.gov/19xxPN4>`_



Image Processing
----------------

* `10k US Adult Faces Database <http://wilmabainbridge.com/facememorability2.html>`_
* `2GB of Photos of Cats <http://137.189.35.203/WebUI/CatDatabase/catData.html>`_
* `Affective Image Classification <http://www.imageemotion.org/>`_
* `Face Recognition Benchmark <http://www.face-rec.org/databases/>`_
* `ImageNet (in WordNet hierarchy) <http://www.image-net.org/>`_
* `International Affective Picture System, UFL <http://csea.phhp.ufl.edu/media/iapsmessage.html>`_
* `Massive Visual Memory Stimuli, MIT <http://cvcl.mit.edu/MM/stimuli.html>`_
* `SUN database, MIT <http://groups.csail.mit.edu/vision/SUN/hierarchy.html>`_


Machine Learning
----------------

* `Delve Datasets for classification and regression (Univ. of Toronto) <http://www.cs.toronto.edu/~delve/data/datasets.html>`_
* `Discogs Monthly Data <http://www.discogs.com/data/>`_
* `eBay Online Auctions (2012) <http://www.modelingonlineauctions.com/datasets>`_
* `IMDb Database <http://www.imdb.com/interfaces>`_
* `Keel Repository for classification, regression and time series <http://sci2s.ugr.es/keel/datasets.php>`_
* `Lending Club Loan Data <https://www.lendingclub.com/info/download-data.action>`_
* `Machine Learning Data Set Repository <http://mldata.org/>`_
* `Million Song Dataset <http://labrosa.ee.columbia.edu/millionsong/>`_
* `More Song Datasets <http://labrosa.ee.columbia.edu/millionsong/pages/additional-datasets>`_
* `MovieLens Data Sets <http://grouplens.org/datasets/movielens/>`_
* `RDataMining - "R and Data Mining" ebook data <http://www.rdatamining.com/data>`_
* `Registered Meteorites on Earth <http://www.analyticbridge.com/profiles/blogs/registered-meteorites-that-has-impacted-on-earth-visualized>`_
* `Restaurants Health Score Data in San Francisco <http://missionlocal.org/san-francisco-restaurant-health-inspections/>`_
* `UCI Machine Learning Repository <http://archive.ics.uci.edu/ml/>`_
* `Yahoo! Ratings and Classification Data <http://webscope.sandbox.yahoo.com/catalog.php?datatype=r>`_


Museums
-------

* `Cooper-Hewitt's Collection Database <https://github.com/cooperhewitt/collection>`_
* `Minneapolis Institute of Arts metadata <https://github.com/artsmia/collection>`_
* `Tate Collection metadata <https://github.com/tategallery/collection>`_
* `The Getty vocabularies <http://vocab.getty.edu>`_


Natural Language
----------------

* `ClueWeb09 FACC <http://lemurproject.org/clueweb09/FACC1/>`_
* `ClueWeb12 FACC <http://lemurproject.org/clueweb12/FACC1/>`_
* `DBpedia - 4.58M things with 583M facts <http://wiki.dbpedia.org/Datasets>`_
* `Flickr Personal Taxonomies <http://www.isi.edu/~lerman/downloads/flickr/flickr_taxonomies.html>`_
* `Google Books Ngrams (2.2TB) <http://aws.amazon.com/datasets/8172056142375670>`_
* `Google Web 5gram (1TB, 2006) <https://catalog.ldc.upenn.edu/LDC2006T13>`_
* `Gutenberg eBooks List <http://www.gutenberg.org/wiki/Gutenberg:Offline_Catalogs>`_
* `Hansards text chunks of Canadian Parliament <http://www.isi.edu/natural-language/download/hansard/>`_
* `Machine Translation of European languages <http://statmt.org/wmt11/translation-task.html#download>`_
* `SMS Spam Collection in English <http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/>`_
* `USENET postings corpus of 2005~2011 <http://www.psych.ualberta.ca/~westburylab/downloads/usenetcorpus.download.html>`_
* `Wikidata - Wikipedia databases <https://www.wikidata.org/wiki/Wikidata:Database_download>`_
* `Wikipedia Links data - 40 Million Entities in Context <https://code.google.com/p/wiki-links/downloads/list>`_
* `WordNet databases and tools <http://wordnet.princeton.edu/wordnet/download/>`_


Physics
-------

* `CERN Open Data Portal <http://opendata.cern.ch/>`_
* `NSSDC (NASA) data of 550 space spacecraft <http://nssdc.gsfc.nasa.gov/nssdc/obtaining_data.html>`_


Public Domains
--------------

* `Amazon <http://aws.amazon.com/datasets>`_
* `Archive.org Datasets <https://archive.org/details/datasets>`_
* `CMU JASA data archive <http://lib.stat.cmu.edu/jasadata/>`_
* `CMU StatLab collections <http://lib.stat.cmu.edu/datasets/>`_
* `Data360 <http://www.data360.org/index.aspx>`_
* `Datamob.org <http://datamob.org/datasets>`_
* `Google <http://www.google.com/publicdata/directory>`_
* `Infochimps <http://www.infochimps.com/>`_
* `KDNuggets Data Collections <http://www.kdnuggets.com/datasets/index.html>`_
* `Numbray <http://numbrary.com/>`_
* `Reddit Datasets <http://www.reddit.com/r/datasets>`_
* `RevolutionAnalytics Collection <http://www.revolutionanalytics.com/subscriptions/datasets/>`_
* `Sample R data sets <http://stat.ethz.ch/R-manual/R-patched/library/datasets/html/00Index.html>`_
* `Stats4Stem R data sets <http://www.stats4stem.org/data-sets.html>`_
* `StatSci.org <http://www.statsci.org/datasets.html>`_
* `The Washington Post List <http://www.washingtonpost.com/wp-srv/metro/data/datapost.html>`_
* `UCLA SOCR data collection <http://wiki.stat.ucla.edu/socr/index.php/SOCR_Data>`_
* `UFO Reports <http://www.nuforc.org/webreports.html>`_
* `Wikileaks 911 pager intercepts <http://911.wikileaks.org/files/index.html>`_
* `Yahoo Webscope <http://webscope.sandbox.yahoo.com/catalog.php>`_


Search Engines
--------------

* `Academic Torrents of data sharing from UMB <http://academictorrents.com/>`_
* `Archive-it from Internet Archive <https://www.archive-it.org/explore?show=Collections>`_
* `Datahub.io <http://datahub.io/dataset>`_
* `DataMarket (Qlik) <https://datamarket.com/data/list/?q=all>`_
* `Freebase.com of people, places, and things <http://www.freebase.com/>`_
* `Harvard Dataverse Network of scientific data <http://thedata.harvard.edu/dvn/>`_
* `ICPSR (UMICH) <http://www.icpsr.umich.edu/icpsrweb/ICPSR/index.jsp>`_
* `Open Data Certificates (beta) <https://certificates.theodi.org/datasets>`_
* `Statista.com - statistics and Studies <http://www.statista.com/>`_


Social Sciences
---------------

* `Ancestry.com Forum Dataset over 10 years <http://www.cs.cmu.edu/~jelsas/data/ancestry.com/>`_
* `CMU Enron Email of 150 users <http://www.cs.cmu.edu/~enron/>`_
* `Facebook Data Scrape (2005) <https://archive.org/details/oxford-2005-facebook-matrix>`_
* `Facebook Social Networks from LAW (since 2007) <http://law.di.unimi.it/datasets.php>`_
* `Foursquare Social Network in 2010, 2011 <http://www.public.asu.edu/~hgao16/dataset.html>`_
* `Foursquare from UMN/Sarwat (2013) <https://archive.org/details/201309_foursquare_dataset_umn>`_
* `General Social Survey (GSS) since 1972 <http://www3.norc.org/GSS+Website/>`_
* `GetGlue - users rating TV shows <http://bit.ly/1aL8XS0>`_
* `GitHub Collaboration Archive <http://www.githubarchive.org/>`_
* `Mobile Social Networks from UMASS <https://kdl.cs.umass.edu/display/public/Mobile+Social+Networks>`_
* `PewResearch Internet Survey Project <http://www.pewinternet.org/datasets/pages/2/>`_
* `SourceForge.net Research Data <http://www.nd.edu/~oss/Data/data.html>`_
* `StackExchange Data Explorer <http://data.stackexchange.com/help>`_
* `Titanic Survival Data Set <http://bit.do/dataset-titanic-csv-zip>`_
* `Twitter Graph of entire Twitter site <http://an.kaist.ac.kr/traces/WWW2010.html>`_
* `UCB's Archive of Social Science Data (D-Lab) <http://ucdata.berkeley.edu/>`_
* `UCLA Social Sciences Data Archive <http://dataarchives.ss.ucla.edu/Home.DataPortals.htm>`_
* `UNIMI/LAW Social Network Datasets <http://law.di.unimi.it/datasets.php>`_
* `Universities Worldwide <http://univ.cc/>`_
* `UPJOHN for Labor Employment Research <http://www.upjohn.org/erdc/erdc.html>`_
* `Yahoo! Graph and Social Data <http://webscope.sandbox.yahoo.com/catalog.php?datatype=g>`_
* `Youtube Video Social Graph in 2007,2008 <http://netsg.cs.sfu.ca/youtubedata/>`_


Sports
------

* `Betfair Historical Exchange Data <http://data.betfair.com/>`_
* `Cricsheet Matches (baseball) <http://cricsheet.org/>`_
* `Ergast Formula 1, from 1950 up to date (API) <http://ergast.com/mrd/db>`_
* `Football/Soccer resouces (data and APIs) <http://www.jokecamp.com/blog/guide-to-football-and-soccer-data-and-apis/>`_
* `Lahman's Baseball Database <http://www.seanlahman.com/baseball-archive/statistics/>`_
* `Retrosheet Baseball Statistics <http://www.retrosheet.org/game.htm>`_


Time Series
-----------

* `Time Series Data Library (TSDL) from MU <https://datamarket.com/data/list/?q=provider:tsdl>`_
* `UC Riverside Time Series Dataset <http://www.cs.ucr.edu/~eamonn/time_series_data/>`_
* `Hard Drive Failure Rates <https://www.backblaze.com/hard-drive-test-data.html>`_


Transportation
--------------

* `Airlines OD Data 1987-2008 <http://stat-computing.org/dataexpo/2009/the-data.html>`_
* `Bike Share Systems (BSS) collection <https://github.com/BetaNYC/Bike-Share-Data-Best-Practices/wiki/Bike-Share-Data-Systems>`_
* `Bay Area Bike Share Data <http://www.bayareabikeshare.com/datachallenge>`_
* `Hubway Million Rides in MA <http://hubwaydatachallenge.org/trip-history-data/>`_
* `Marine Traffic - ship tracks, port calls and more <https://www.marinetraffic.com/de/p/api-services>`_
* `NYC Taxi Trip Data 2013 (FOIA/FOILed) <https://archive.org/details/nycTaxiTripData2013>`_
* `OpenFlights - airport, airline and route data <http://openflights.org/data.html>`_
* `RITA Airline On-Time Performance data <http://www.transtats.bts.gov/Tables.asp?DB_ID=120>`_
* `RITA/BTS transport data collection (TranStat) <http://www.transtats.bts.gov/DataIndex.asp>`_
* `Transport for London (TFL) <http://www.tfl.gov.uk/info-for/open-data-users/our-feeds>`_
* `Travel Tracker Survey (TTS) for Chicago <http://www.cmap.illinois.gov/data/transportation/travel-tracker-survey>`_
* `U.S. Bureau of Transportation Statistics (BTS) <http://www.rita.dot.gov/bts/>`_
* `U.S. Domestic Flights 1990 to 2009 <http://data.memect.com/?p=229>`_
* `U.S. Freight Analysis Framework since 2007 <http://ops.fhwa.dot.gov/freight/freight_analysis/faf/index.htm>`_


Complementary Collections
-------------------------

* DataWrangling: `Some Datasets Available on the Web <http://www.datawrangling.com/some-datasets-available-on-the-web>`_
* Inside-r: `Finding Data on the Internet <http://www.inside-r.org/howto/finding-data-internet>`_
* Quora: `Where can I find large datasets open to the public? <http://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public>`_
* RS.io: `100+ Interesting Data Sets for Statistics <http://rs.io/2014/05/29/list-of-data-sets.html>`_
* StaTrek: `Leveraging open data to understand urban lives <http://hsiamin.com/posts/2014/10/23/leveraging-open-data-to-understand-urban-lives/>`_