Awesome Public Datasets
=======================
.. image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg
   :alt: Awesome
   :target: https://github.com/sindresorhus/awesome

`This list of public data sources <https://github.com/caesar0301/awesome-public-datasets>`_
are collected and tidied from blogs, answers, and user responses.
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
`sindresorhus's awesome <https://github.com/sindresorhus/awesome>`_ list.

.. contents:: Table of Contents


Agriculture
------------
* `U.S. Department of Agriculture's PLANTS Database <http://www.plants.usda.gov/dl_all.html>`_
* `U.S. Department of Agriculture's Nutrient Database <https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/nutrient-data-laboratory/docs/sr28-download-files/>`_


Biology
-------

* `1000 Genomes <http://www.1000genomes.org/data>`_
* `American Gut (Microbiome Project) <https://github.com/biocore/American-Gut>`_
* `Broad Bioimage Benchmark Collection (BBBC) <https://www.broadinstitute.org/bbbc>`_
* `Broad Cancer Cell Line Encyclopedia (CCLE) <http://www.broadinstitute.org/ccle/home>`_
* `Cell Image Library <http://www.cellimagelibrary.org>`_
* `Complete Genomics Public Data <http://www.completegenomics.com/public-data/69-genomes/>`_
* `EBI ArrayExpress <http://www.ebi.ac.uk/arrayexpress/>`_
* `EBI Protein Data Bank in Europe <http://www.ebi.ac.uk/pdbe/emdb/index.html/>`_
* `Electron Microscopy Pilot Image Archive (EMPIAR) <http://www.ebi.ac.uk/pdbe/emdb/empiar/>`_
* `ENCODE project <https://www.encodeproject.org>`_
* `Ensembl Genomes <http://ensemblgenomes.org/info/genomes>`_
* `Gene Expression Omnibus (GEO) <http://www.ncbi.nlm.nih.gov/geo/>`_
* `Gene Ontology (GO) <http://geneontology.org/page/download-annotations>`_
* `Global Biotic Interactions (GloBI) <https://github.com/jhpoelen/eol-globi-data/wiki#accessing-species-interaction-data>`_
* `Harvard Medical School (HMS) LINCS Project <http://lincs.hms.harvard.edu>`_
* `Human Genome Diversity Project <http://www.hagsc.org/hgdp/files.html>`_
* `Human Microbiome Project (HMP) <http://www.hmpdacc.org/reference_genomes/reference_genomes.php>`_
* `ICOS PSP Benchmark <http://ico2s.org/datasets/psp_benchmark.html>`_
* `International HapMap Project <http://hapmap.ncbi.nlm.nih.gov/downloads/index.html.en>`_
* `Journal of Cell Biology DataViewer <http://jcb-dataviewer.rupress.org>`_
* `MIT Cancer Genomics Data <http://www.broadinstitute.org/cgi-bin/cancer/datasets.cgi>`_
* `NCBI Proteins <http://www.ncbi.nlm.nih.gov/guide/proteins/#databases>`_
* `NCBI Taxonomy <http://www.ncbi.nlm.nih.gov/taxonomy>`_
* `NCI Genomic Data Commons <https://gdc-portal.nci.nih.gov>`_
* `NIH Microarray data <http://bit.do/VVW6>`_ or `FTP <ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE6532/>`_ (see FTP link on `RAW <https://raw.githubusercontent.com/caesar0301/awesome-public-datasets/master/README.rst>`_)
* `OpenSNP genotypes data <https://opensnp.org/>`_
* `Pathguid - Protein-Protein Interactions Catalog <http://www.pathguide.org/>`_
* `Protein Data Bank <http://www.rcsb.org/>`_
* `Psychiatric Genomics Consortium <https://www.med.unc.edu/pgc/downloads>`_
* `PubChem Project <https://pubchem.ncbi.nlm.nih.gov/>`_
* `PubGene (now Coremine Medical) <http://www.pubgene.org/>`_
* `Sanger Catalogue of Somatic Mutations in Cancer (COSMIC) <http://cancer.sanger.ac.uk/cosmic>`_
* `Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC) <http://www.cancerrxgene.org/>`_
* `Sequence Read Archive(SRA) <http://www.ncbi.nlm.nih.gov/Traces/sra/>`_
* `Stanford Microarray Data <http://smd.stanford.edu/>`_
* `Stowers Institute Original Data Repository <http://www.stowers.org/research/publications/odr>`_
* `Systems Science of Biological Dynamics (SSBD) Database <http://ssbd.qbic.riken.jp>`_
* `The Cancer Genome Atlas (TCGA), available via Broad GDAC <https://gdac.broadinstitute.org/>`_
* `The Catalogue of Life <http://www.catalogueoflife.org/content/annual-checklist-archive>`_
* `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>`_
* `Universal Protein Resource (UnitProt) <http://www.uniprot.org/downloads>`_


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

* `Actuaries Climate Index <http://actuariesclimateindex.org/data/>`_
* `Australian Weather <http://www.bom.gov.au/climate/dwo/>`_
* `Aviation Weather Center - Consistent, timely and accurate weather information for the world airspace system <https://aviationweather.gov/adds/dataserver>`_
* `Brazilian Weather - Historical data (In Portuguese) <http://sinda.crn2.inpe.br/PCD/SITE/novo/site/>`_
* `Canadian Meteorological Centre <http://weather.gc.ca/grib/index_e.html>`_
* `Climate Data from UEA (updated monthly) <https://crudata.uea.ac.uk/cru/data/temperature/#datter and ftp://ftp.cmdl.noaa.gov/>`_
* `European Climate Assessment & Dataset <http://eca.knmi.nl/>`_
* `Global Climate Data Since 1929 <http://en.tutiempo.net/climate>`_
* `NASA Global Imagery Browse Services <https://wiki.earthdata.nasa.gov/display/GIBS>`_
* `NOAA Bering Sea Climate <http://www.beringclimate.noaa.gov/>`_
* `NOAA Climate Datasets <http://www.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>`_
* `NOAA SURFRAD Meteorology and Radiation Datasets <https://www.esrl.noaa.gov/gmd/grad/stardata.html>`_
* `The World Bank Open Data Resources for Climate Change <http://data.worldbank.org/developers/climate-data-api>`_
* `UEA Climatic Research Unit <http://www.cru.uea.ac.uk/data>`_
* `WorldClim - Global Climate Data <http://www.worldclim.org>`_
* `WU Historical Weather Worldwide <https://www.wunderground.com/history/index.html>`_


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

* `AMiner Citation Network Dataset <http://aminer.org/citation>`_
* `CrossRef DOI URLs <https://archive.org/details/doi-urls>`_
* `DBLP Citation dataset <https://kdl.cs.umass.edu/display/public/DBLP>`_
* `DIMACS Road Networks Collection <http://www.dis.uniroma1.it/challenge9/download.shtml>`_
* `NBER Patent Citations <http://nber.org/patents/>`_
* `Network Repository with Interactive Exploratory Analysis Tools <http://networkrepository.com/>`_
* `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 <https://ogirardot.wordpress.com/2013/01/31/sharing-pypimaven-dependency-data/>`_
* `Scopus Citation Database <https://www.elsevier.com/solutions/scopus>`_
* `Small Network Data <http://www-personal.umich.edu/~mejn/netdata/>`_
* `Stanford GraphBase (Steven Skiena) <http://www3.cs.stonybrook.edu/~algorith/implement/graphbase/implement.shtml>`_
* `Stanford Large Network Dataset Collection <http://snap.stanford.edu/data/>`_
* `Stanford Longitudinal Network Data Sources <http://stanford.edu/group/sonia/dataSources/index.html>`_
* `The Koblenz Network Collection <http://konect.uni-koblenz.de/>`_
* `The Laboratory for Web Algorithmics (UNIMI) <http://law.di.unimi.it/datasets.php>`_
* `The Nexus Network Repository <http://nexus.igraph.org/>`_
* `UCI Network Data Repository <https://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 CommonCrawl 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. <https://crawdad.cs.dartmouth.edu/>`_
* `Criteo click-through data <http://labs.criteo.com/2015/03/criteo-releases-its-new-dataset/>`_
* `OONI: Open Observatory of Network Interference - Internet censorship data <https://ooni.torproject.org/data/>`_
* `Open Mobile Data by MobiPerf <https://console.developers.google.com/storage/openmobiledata_public/>`_
* `Rapid7 Sonar Internet Scans <https://sonar.labs.rapid7.com/>`_
* `UCSD Network Telescope, IPv4 /8 net <http://www.caida.org/projects/network_telescope/>`_


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

* `Bruteforce Database <https://github.com/duyetdev/bruteforce-database>`_
* `Challenges in Machine Learning <http://www.chalearn.org/>`_
* `CrowdANALYTIX dataX <http://data.crowdanalytix.com>`_
* `D4D Challenge of Orange <http://www.d4d.orange.com/en/home>`_
* `DrivenData Competitions for Social Good <http://www.drivendata.org/>`_
* `ICWSM Data Challenge (since 2009) <http://icwsm.cs.umbc.edu/>`_
* `Kaggle Competition Data <https://www.kaggle.com/>`_
* `KDD Cup by Tencent 2012 <http://www.kddcup2012.org/>`_
* `Localytics Data Visualization Challenge <https://github.com/localytics/data-viz-challenge>`_
* `Netflix Prize <http://netflixprize.com/leaderboard.html>`_
* `Space Apps Challenge <https://2015.spaceappschallenge.org>`_
* `Telecom Italia Big Data Challenge <https://dandelion.eu/datamine/open-big-data/>`_
* `TravisTorrent Dataset - MSR'2017 Mining Challenge <https://travistorrent.testroots.org/>`_
* `Yelp Dataset Challenge <http://www.yelp.com/dataset_challenge>`_


Earth Science
-------------

* `AQUASTAT - Global water resources and uses <http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en>`_
* `BODC - marine data of ~22K vars <https://www.bodc.ac.uk/data/>`_
* `Earth Models <http://www.earthmodels.org/>`_
* `EOSDIS - NASA's earth observing system data <http://sedac.ciesin.columbia.edu/data/sets/browse>`_
* `Integrated Marine Observing System (IMOS) - roughly 30TB of ocean measurements <https://imos.aodn.org.au>`_ or `on S3 <http://imos-data.s3-website-ap-southeast-2.amazonaws.com/>`_
* `Marinexplore - Open Oceanographic Data <http://marinexplore.org/>`_
* `Smithsonian Institution Global Volcano and Eruption Database <http://volcano.si.edu/>`_
* `USGS Earthquake Archives <http://earthquake.usgs.gov/earthquakes/search/>`_


Economics
---------

* `American Economic Association (AEA) <https://www.aeaweb.org/resources/data>`_
* `EconData from UMD <http://inforumweb.umd.edu/econdata/econdata.html>`_
* `Economic Freedom of the World Data <http://www.freetheworld.com/datasets_efw.html>`_
* `Historical MacroEconomc Statistics <http://www.historicalstatistics.org/>`_
* `International Economics Database <http://widukind.cepremap.org/>`_ and `various data tools <https://github.com/Widukind>`_
* `International Trade Statistics <http://www.econostatistics.co.za/>`_
* `Internet Product Code Database <http://www.upcdatabase.com/>`_
* `Joint External Debt Data Hub <http://www.jedh.org/>`_
* `Jon Haveman International Trade Data Links <http://www.macalester.edu/research/economics/PAGE/HAVEMAN/Trade.Resources/TradeData.html>`_
* `OpenCorporates Database of Companies in the World <https://opencorporates.com/>`_
* `Our World in Data <http://ourworldindata.org/>`_
* `SciencesPo World Trade Gravity Datasets <http://econ.sciences-po.fr/thierry-mayer/data>`_
* `The Atlas of Economic Complexity <http://atlas.cid.harvard.edu>`_
* `The Center for International Data <http://cid.econ.ucdavis.edu>`_
* `The Observatory of Economic Complexity <http://atlas.media.mit.edu/en/>`_
* `UN Commodity Trade Statistics <http://comtrade.un.org/db/>`_
* `UN Human Development Reports <http://hdr.undp.org/en>`_


Education
------------

* `College Scorecard Data <https://collegescorecard.ed.gov/data/>`_
* `Student Data from Free Code Camp <http://academictorrents.com/details/030b10dad0846b5aecc3905692890fb02404adbf>`_


Energy
------

* `AMPds <http://ampds.org/>`_
* `BLUEd <http://nilm.cmubi.org/>`_
* `COMBED <http://combed.github.io/>`_
* `Dataport <https://dataport.pecanstreet.org/>`_
* `DRED <http://www.st.ewi.tudelft.nl/~akshay/dred/>`_
* `ECO <http://www.vs.inf.ethz.ch/res/show.html?what=eco-data>`_
* `EIA <http://www.eia.gov/electricity/data/eia923/>`_
* `HES <http://randd.defra.gov.uk/Default.aspx?Menu=Menu&Module=More&Location=None&ProjectID=17359&FromSearch=Y&Publisher=1&SearchText=EV0702&SortString=ProjectCode&SortOrder=Asc&Paging=10#Description>`_ - Household Electricity Study, UK
* `HFED <http://hfed.github.io/>`_
* `iAWE <http://iawe.github.io/>`_
* `PLAID <http://plaidplug.com/>`_ - the Plug Load Appliance Identification Dataset
* `REDD <http://redd.csail.mit.edu/>`_
* `Tracebase <https://www.tracebase.org>`_
* `UK-DALE <http://www.doc.ic.ac.uk/~dk3810/data/>`_ - UK Domestic Appliance-Level Electricity
* `WHITED <http://nilmworkshop.org/2016/proceedings/Poster_ID18.pdf>`_


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/>`_
* `NYSE Market Data <ftp://ftp.nyxdata.com>`_ (see FTP link on `RAW <https://raw.githubusercontent.com/caesar0301/awesome-public-datasets/master/README.rst>`_)
* `OANDA <http://www.oanda.com/>`_
* `OSU Financial data <http://fisher.osu.edu/fin/fdf/osudata.htm>`_
* `Quandl <https://www.quandl.com/>`_
* `St Louis Federal <https://research.stlouisfed.org/fred2/>`_
* `Yahoo Finance <http://finance.yahoo.com/>`_


GIS
---

* `ArcGIS Open Data portal <http://opendata.arcgis.com/>`_
* `Cambridge, MA, US, GIS data on GitHub <http://cambridgegis.github.io/gisdata.html>`_
* `Factual Global Location Data <https://www.factual.com/>`_
* `Geo Spatial Data from ASU <http://geodacenter.asu.edu/datalist/>`_
* `Geo Wiki Project - Citizen-driven Environmental Monitoring <http://geo-wiki.org/>`_
* `GeoFabrik - OSM data extracted to a variety of formats and areas <http://download.geofabrik.de/>`_
* `GeoNames Worldwide <http://www.geonames.org/>`_
* `Global Administrative Areas Database (GADM) <http://www.gadm.org/>`_
* `Homeland Infrastructure Foundation-Level Data <https://hifld-dhs-gii.opendata.arcgis.com/>`_
* `Landsat 8 on AWS <https://aws.amazon.com/public-data-sets/landsat/>`_
* `List of all countries in all languages <https://github.com/umpirsky/country-list>`_
* `National Weather Service GIS Data Portal <http://www.nws.noaa.gov/gis/>`_
* `Natural Earth - vectors and rasters of the world <http://www.naturalearthdata.com/>`_
* `OpenAddresses <http://openaddresses.io/>`_
* `OpenStreetMap (OSM) <http://wiki.openstreetmap.org/wiki/Downloading_data>`_
* `Pleiades - Gazetteer and graph of ancient places <http://pleiades.stoa.org/>`_
* `Reverse Geocoder using OSM data <https://github.com/kno10/reversegeocode>`_ & `additional high-resolution data files <http://data.ub.uni-muenchen.de/61/>`_
* `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/>`_
* `UN Environmental Data <http://geodata.grid.unep.ch/>`_
* `World boundaries from  the U.S. Department of State <https://hiu.state.gov/data/data.aspx>`_
* `World countries in multiple formats <https://github.com/mledoze/countries>`_


Government
----------

* `A list of cities and countries contributed by community <https://github.com/caesar0301/awesome-public-datasets/blob/master/Government.rst>`_
* `Open Data for Africa <http://opendataforafrica.org/>`_
* `OpenDataSoft's list of 1,600 open data <https://www.opendatasoft.com/a-comprehensive-list-of-all-open-data-portals-around-the-world/>`_


Healthcare
----------

* `EHDP Large Health Data Sets <http://www.ehdp.com/vitalnet/datasets.htm>`_
* `Gapminder World demographic databases <http://www.gapminder.org/data/>`_
* `GDC supports several cancer genome programs for CCG, TCGA, TARGET etc. <https://gdc.cancer.gov/>`_
* `Medicare Coverage Database (MCD), U.S. <https://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>`_
* `MeSH, the vocabulary thesaurus used for indexing articles for PubMed <https://www.nlm.nih.gov/mesh/filelist.html>`_
* `Number of Ebola Cases and Deaths in Affected Countries (2014) <https://data.hdx.rwlabs.org/dataset/ebola-cases-2014>`_
* `Open-ODS (structure of the UK NHS) <http://www.openods.co.uk>`_
* `OpenPaymentsData, Healthcare financial relationship data <https://openpaymentsdata.cms.gov>`_
* The Cancer Genome Atlas project (TCGA) (refer to `GDC <https://portal.gdc.cancer.gov/>`_ and `BigQuery table <http://google-genomics.readthedocs.org/en/latest/use_cases/discover_public_data/isb_cgc_data.html>`_)
* `World Health Organization Global Health Observatory <http://www.who.int/gho/en/>`_


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>`_ or `Archive version <https://web.archive.org/web/20150520175645/http://137.189.35.203/WebUI/CatDatabase/catData.html>`_
* `Adience Unfiltered faces for gender and age classification <http://www.openu.ac.il/home/hassner/Adience/data.html>`_
* `Affective Image Classification <http://www.imageemotion.org/>`_
* `Animals with attributes <http://attributes.kyb.tuebingen.mpg.de/>`_
* `Caltech Pedestrian Detection Benchmark <https://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/>`_
* `Chars74K dataset, Character Recognition in Natural Images (both English and Kannada are available) <http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/>`_
* `Face Recognition Benchmark <http://www.face-rec.org/databases/>`_
* `Flickr: 32 Class Brand Logos <http://www.multimedia-computing.de/flickrlogos/>`_
* `GDXray: X-ray images for X-ray testing and Computer Vision <http://dmery.ing.puc.cl/index.php/material/gdxray/>`_
* `ImageNet (in WordNet hierarchy) <http://www.image-net.org/>`_
* `Indoor Scene Recognition <http://web.mit.edu/torralba/www/indoor.html>`_
* `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>`_
* `MNIST database of handwritten digits, near 1 million examples <http://yann.lecun.com/exdb/mnist/>`_
* `Several Shape-from-Silhouette Datasets <http://kaiwolf.no-ip.org/3d-model-repository.html>`_
* `Stanford Dogs Dataset <http://vision.stanford.edu/aditya86/ImageNetDogs/>`_
* `SUN database, MIT <http://groups.csail.mit.edu/vision/SUN/hierarchy.html>`_
* `The Action Similarity Labeling (ASLAN) Challenge <http://www.openu.ac.il/home/hassner/data/ASLAN/ASLAN.html>`_
* `The Oxford-IIIT Pet Dataset <http://www.robots.ox.ac.uk/~vgg/data/pets/>`_
* `Violent-Flows - Crowd Violence \ Non-violence Database and benchmark <http://www.openu.ac.il/home/hassner/data/violentflows/>`_
* `Visual genome <http://visualgenome.org/api/v0/api_home.html>`_
* `YouTube Faces Database <http://www.cs.tau.ac.il/~wolf/ytfaces/>`_


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

* `Context-aware data sets from five domains <https://github.com/irecsys/CARSKit/tree/master/context-aware_data_sets>`_
* `Delve Datasets for classification and regression (Univ. of Toronto) <http://www.cs.toronto.edu/~delve/data/datasets.html>`_
* `Discogs Monthly Data <http://data.discogs.com/>`_
* `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>`_
* `Labeled Faces in the Wild (LFW) <http://vis-www.cs.umass.edu/lfw/>`_
* `Lending Club Loan Data <https://www.lendingclub.com/info/download-data.action>`_
* `Machine Learning Data Set Repository <http://mldata.org/>`_
* `Free Music Archive <https://github.com/mdeff/fma>`_
* `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/>`_
* `New Yorker caption contest ratings <https://github.com/nextml/caption-contest-data>`_
* `RDataMining - "R and Data Mining" ebook data <http://www.rdatamining.com/data>`_
* `Registered Meteorites on Earth <http://healthintelligence.drupalgardens.com/content/registered-meteorites-has-impacted-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>`_
* `Youtube 8m <https://research.google.com/youtube8m/download.html>`_


Museums
-------

* `Canada Science and Technology Museums Corporation's Open Data <http://techno-science.ca/en/data.php>`_
* `Cooper-Hewitt's Collection Database <https://github.com/cooperhewitt/collection>`_
* `Minneapolis Institute of Arts metadata <https://github.com/artsmia/collection>`_
* `Natural History Museum (London) Data Portal <http://data.nhm.ac.uk/>`_
* `Rijksmuseum Historical Art Collection <https://www.rijksmuseum.nl/en/api>`_
* `Tate Collection metadata <https://github.com/tategallery/collection>`_
* `The Getty vocabularies <http://vocab.getty.edu>`_


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

* `Automatic Keyphrase Extraction <https://github.com/snkim/AutomaticKeyphraseExtraction/>`_
* `Blogger Corpus <http://u.cs.biu.ac.il/~koppel/BlogCorpus.htm>`_
* `CLiPS Stylometry Investigation Corpus <http://www.clips.uantwerpen.be/datasets/csi-corpus>`_
* `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>`_
* `Freebase.com of people, places, and things <http://www.freebase.com/>`_
* `Google Books Ngrams (2.2TB) <https://aws.amazon.com/datasets/google-books-ngrams/>`_
* `Google MC-AFP, generated based on the public available Gigaword dataset using Paragraph Vectors <https://github.com/google/mcafp>`_
* `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 Comprehension Test (MCTest) of text from Microsoft Research <http://research.microsoft.com/en-us/um/redmond/projects/mctest/index.html>`_
* `Machine Translation of European languages <http://statmt.org/wmt11/translation-task.html#download>`_
* `Microsoft MAchine Reading COmprehension Dataset (or MS MARCO) <http://www.msmarco.org/dataset.aspx>`_
* `Multi-Domain Sentiment Dataset (version 2.0) <http://www.cs.jhu.edu/~mdredze/datasets/sentiment/>`_
* `Open Multilingual Wordnet <http://compling.hss.ntu.edu.sg/omw/>`_
* `Personae Corpus <http://www.clips.uantwerpen.be/datasets/personae-corpus>`_
* `SaudiNewsNet Collection of Saudi Newspaper Articles (Arabic, 30K articles) <https://github.com/ParallelMazen/SaudiNewsNet>`_
* `SMS Spam Collection in English <http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/>`_
* `Universal Dependencies <http://universaldependencies.org>`_
* `USENET postings corpus of 2005~2011 <http://www.psych.ualberta.ca/~westburylab/downloads/usenetcorpus.download.html>`_
* `Webhose - News/Blogs in multiple languages <https://webhose.io/datasets>`_
* `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/>`_


Neuroscience
-------------

* `Allen Institute Datasets <http://www.brain-map.org/>`_
* `Brain Catalogue <http://braincatalogue.org/>`_
* `Brainomics <http://brainomics.cea.fr/localizer>`_
* `CodeNeuro Datasets <http://datasets.codeneuro.org/>`_
* `Collaborative Research in Computational Neuroscience (CRCNS) <http://crcns.org/data-sets>`_
* `FCP-INDI <http://fcon_1000.projects.nitrc.org/index.html>`_
* `Human Connectome Project <http://www.humanconnectome.org/data/>`_
* `NDAR <https://ndar.nih.gov/>`_
* `NeuroData <http://neurodata.io>`_
* `Neuroelectro <http://neuroelectro.org/>`_
* `NIMH Data Archive <http://data-archive.nimh.nih.gov/>`_
* `OASIS <http://www.oasis-brains.org/>`_
* `OpenfMRI <https://openfmri.org/>`_
* `Study Forrest <http://studyforrest.org>`_


Physics
-------

* `CERN Open Data Portal <http://opendata.cern.ch/>`_
* `Crystallography Open Database <http://www.crystallography.net/>`_
* `NASA Exoplanet Archive <http://exoplanetarchive.ipac.caltech.edu/>`_
* `NSSDC (NASA) data of 550 space spacecraft <http://nssdc.gsfc.nasa.gov/nssdc/obtaining_data.html>`_
* `Sloan Digital Sky Survey (SDSS) - Mapping the Universe <http://www.sdss.org/>`_


Psychology/Cognition
--------------------

* `OSU Cognitive Modeling Repository Datasets <http://www.cmr.osu.edu/browse/datasets>`_


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

* `Amazon <http://aws.amazon.com/datasets/>`_
* `Archive-it from Internet Archive <https://www.archive-it.org/explore?show=Collections>`_
* `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/>`_
* `Data.World <https://data.world>`_
* `Data360 <http://www.data360.org/index.aspx>`_
* `Google <http://www.google.com/publicdata/directory>`_
* `Infochimps <http://www.infochimps.com/>`_
* `KDNuggets Data Collections <http://www.kdnuggets.com/datasets/index.html>`_
* `Microsoft Azure Data Market Free DataSets <http://datamarket.azure.com/browse/data?price=free>`_
* `Microsoft Data Science for Research <http://aka.ms/Data-Science>`_
* `Numbray <http://numbrary.com/>`_
* `Open Library Data Dumps <https://openlibrary.org/developers/dumps>`_
* `Reddit Datasets <https://www.reddit.com/r/datasets>`_
* `RevolutionAnalytics Collection <http://packages.revolutionanalytics.com/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 <https://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/>`_
* `Datahub.io <https://datahub.io/dataset>`_
* `DataMarket (Qlik) <https://datamarket.com/data/list/?q=all>`_
* `Harvard Dataverse Network of scientific data <https://dataverse.harvard.edu/>`_
* `ICPSR (UMICH) <http://www.icpsr.umich.edu/icpsrweb/ICPSR/index.jsp>`_
* `Institute of Education Sciences <http://eric.ed.gov>`_
* `National Technical Reports Library <http://www.ntis.gov/products/ntrl/>`_
* `Open Data Certificates (beta) <https://certificates.theodi.org/en/datasets>`_
* `OpenDataNetwork - A search engine of all Socrata powered data portals <http://www.opendatanetwork.com/>`_
* `Statista.com - statistics and Studies <http://www.statista.com/>`_
* `Zenodo - An open dependable home for the long-tail of science <https://zenodo.org/collection/datasets>`_


Social Networks
---------------

* `72 hours #gamergate Twitter Scrape <http://waxy.org/random/misc/gamergate_tweets.csv>`_
* `Ancestry.com Forum Dataset over 10 years <http://www.cs.cmu.edu/~jelsas/data/ancestry.com/>`_
* `Cheng-Caverlee-Lee September 2009 - January 2010 Twitter Scrape <https://archive.org/details/twitter_cikm_2010>`_
* `CMU Enron Email of 150 users <http://www.cs.cmu.edu/~enron/>`_
* `EDRM Enron EMail of 151 users, hosted on S3 <https://aws.amazon.com/datasets/enron-email-data/>`_
* `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 from UMN/Sarwat (2013) <https://archive.org/details/201309_foursquare_dataset_umn>`_
* `GitHub Collaboration Archive <https://www.githubarchive.org/>`_
* `Google Scholar citation relations <http://www3.cs.stonybrook.edu/~leman/data/gscholar.db>`_
* `High-Resolution Contact Networks from Wearable Sensors <http://www.sociopatterns.org/datasets/>`_
* `Mobile Social Networks from UMASS <https://kdl.cs.umass.edu/display/public/Mobile+Social+Networks>`_
* `Network Twitter Data <http://snap.stanford.edu/data/higgs-twitter.html>`_
* `Reddit Comments <https://www.reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/>`_
* `Skytrax' Air Travel Reviews Dataset <https://github.com/quankiquanki/skytrax-reviews-dataset>`_
* `Social Twitter Data <http://snap.stanford.edu/data/egonets-Twitter.html>`_
* `SourceForge.net Research Data <http://www3.nd.edu/~oss/Data/data.html>`_
* `Twitter Data for Online Reputation Management <http://nlp.uned.es/replab2013/>`_
* `Twitter Data for Sentiment Analysis <http://help.sentiment140.com/for-students/>`_
* `Twitter Graph of entire Twitter site <http://an.kaist.ac.kr/traces/WWW2010.html>`_
* `Twitter Scrape Calufa May 2011 <http://archive.org/details/2011-05-calufa-twitter-sql>`_
* `UNIMI/LAW Social Network Datasets <http://law.di.unimi.it/datasets.php>`_
* `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/>`_


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

* `ACLED (Armed Conflict Location & Event Data Project) <http://www.acleddata.com/>`_
* `Canadian Legal Information Institute <https://www.canlii.org/en/index.php>`_
* `Center for Systemic Peace Datasets - Conflict Trends, Polities, State Fragility, etc <http://www.systemicpeace.org/>`_
* `Correlates of War Project <http://www.correlatesofwar.org/>`_
* `Cryptome Conspiracy Theory Items <http://cryptome.org>`_
* `Datacards <http://datacards.org>`_
* `European Social Survey <http://www.europeansocialsurvey.org/data/>`_
* `FBI Hate Crime 2013 - aggregated data <https://github.com/emorisse/FBI-Hate-Crime-Statistics/tree/master/2013>`_
* `Fragile States Index <http://fsi.fundforpeace.org/data>`_
* `GDELT Global Events Database <http://gdeltproject.org/data.html>`_
* `General Social Survey (GSS) since 1972 <http://gss.norc.org>`_
* `German Social Survey <http://www.gesis.org/en/home/>`_
* `Global Religious Futures Project <http://www.globalreligiousfutures.org/>`_
* `Humanitarian Data Exchange <https://data.hdx.rwlabs.org/>`_
* `INFORM Index for Risk Management <http://www.inform-index.org/Results/Global>`_
* `Institute for Demographic Studies <http://www.ined.fr/en/>`_
* `International Networks Archive <http://www.princeton.edu/~ina/>`_
* `International Social Survey Program ISSP <http://www.issp.org>`_
* `International Studies Compendium Project <http://www.isacompendium.com/public/>`_
* `James McGuire Cross National Data <http://jmcguire.faculty.wesleyan.edu/welcome/cross-national-data/>`_
* `MacroData Guide by Norsk samfunnsvitenskapelig datatjeneste <http://nsd.uib.no>`_
* `Minnesota Population Center <https://www.ipums.org/>`_
* `MIT Reality Mining Dataset <http://realitycommons.media.mit.edu/realitymining.html>`_
* `Notre Dame Global Adaptation Index (NG-DAIN) <http://index.gain.org/about/download>`_
* `Open Crime and Policing Data in England, Wales and Northern Ireland <https://data.police.uk/data/>`_
* `Paul Hensel General International Data Page <http://www.paulhensel.org/dataintl.html>`_
* `PewResearch Internet Survey Project <http://www.pewinternet.org/datasets/pages/2/>`_
* `PewResearch Society Data Collection <http://www.pewresearch.org/data/download-datasets/>`_
* `Political Polarity Data <http://www3.cs.stonybrook.edu/~leman/data/14-icwsm-political-polarity-data.zip>`_
* `StackExchange Data Explorer <http://data.stackexchange.com/help>`_
* `Terrorism Research and Analysis Consortium <http://www.trackingterrorism.org/>`_
* `Texas Inmates Executed Since 1984 <http://www.tdcj.state.tx.us/death_row/dr_executed_offenders.html>`_
* `Titanic Survival Data Set <https://github.com/caesar0301/awesome-public-datasets/tree/master/Datasets>`_ or `on Kaggle <https://www.kaggle.com/c/titanic/data>`_
* `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>`_
* `UN Civil Society Database <http://esango.un.org/civilsociety/>`_
* `Universities Worldwide <http://univ.cc/>`_
* `UPJOHN for Labor Employment Research <http://www.upjohn.org/services/resources/employment-research-data-center>`_
* `Uppsala Conflict Data Program <http://ucdp.uu.se/>`_
* `World Bank Open Data <http://data.worldbank.org/>`_
* `WorldPop project - Worldwide human population distributions <http://www.worldpop.org.uk/data/get_data/>`_


Software
--------

* `FLOSSmole data about free, libre, and open source software development <http://flossdata.syr.edu/data/>`_

Sports
------

* `Basketball (NBA/NCAA/Euro) Player Database and Statistics <http://www.draftexpress.com/stats.php>`_
* `Betfair Historical Exchange Data <http://data.betfair.com/>`_
* `Cricsheet Matches (cricket) <http://cricsheet.org/>`_
* `Ergast Formula 1, from 1950 up to date (API) <http://ergast.com/mrd/db>`_
* `Football/Soccer resources (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/>`_
* `Pinhooker: Thoroughbred Bloodstock Sale Data <https://github.com/phillc73/pinhooker>`_
* `Retrosheet Baseball Statistics <http://www.retrosheet.org/game.htm>`_
* `Tennis database of rankings, results, and stats for ATP <https://github.com/JeffSackmann/tennis_atp>`_, `WTA <https://github.com/JeffSackmann/tennis_wta>`_, `Grand Slams <https://github.com/JeffSackmann/tennis_slam_pointbypoint>`_ and `Match Charting Project <https://github.com/JeffSackmann/tennis_MatchChartingProject>`_


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

* `Databanks International Cross National Time Series Data Archive <http://www.cntsdata.com>`_
* `Hard Drive Failure Rates <https://www.backblaze.com/hard-drive-test-data.html>`_
* `Heart Rate Time Series from MIT <http://ecg.mit.edu/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/>`_


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

* `Airlines OD Data 1987-2008 <http://stat-computing.org/dataexpo/2009/the-data.html>`_
* `Bay Area Bike Share Data <http://www.bayareabikeshare.com/open-data>`_
* `Bike Share Systems (BSS) collection <https://github.com/BetaNYC/Bike-Share-Data-Best-Practices/wiki/Bike-Share-Data-Systems>`_
* `GeoLife GPS Trajectory from Microsoft Research <http://research.microsoft.com/en-us/downloads/b16d359d-d164-469e-9fd4-daa38f2b2e13/>`_
* `German train system by Deutsche Bahn <http://data.deutschebahn.com/datasets/>`_
* `Hubway Million Rides in MA <http://hubwaydatachallenge.org/trip-history-data/>`_
* `Marine Traffic - ship tracks, port calls and more <http://www.marinetraffic.com/de/ais-api-services>`_
* `Montreal BIXI Bike Share <https://montreal.bixi.com/en/open-data>`_
* `NYC Taxi Trip Data 2009- <http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml>`_
* `NYC Taxi Trip Data 2013 (FOIA/FOILed) <https://archive.org/details/nycTaxiTripData2013>`_
* `NYC Uber trip data April 2014 to September 2014 <https://github.com/fivethirtyeight/uber-tlc-foil-response>`_
* `Open Traffic collection <https://github.com/graphhopper/open-traffic-collection>`_
* `OpenFlights - airport, airline and route data <http://openflights.org/data.html>`_
* `Philadelphia Bike Share Stations (JSON) <https://www.rideindego.com/stations/json/>`_
* `Plane Crash Database, since 1920 <http://www.planecrashinfo.com/database.htm>`_
* `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>`_
* `Toronto Bike Share Stations (XML file) <http://www.bikesharetoronto.com/data/stations/bikeStations.xml>`_
* `Transport for London (TFL) <https://tfl.gov.uk/info-for/open-data-users/our-open-data>`_
* `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://academictorrents.com/details/a2ccf94bbb4af222bf8e69dad60a68a29f310d9a>`_
* `U.S. Freight Analysis Framework since 2007 <http://ops.fhwa.dot.gov/freight/freight_analysis/faf/index.htm>`_


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

* `Data Packaged Core Datasets <https://github.com/datasets/>`_
* `Database of Scientific Code Contributions <https://mozillascience.org/collaborate>`_
* A growing collection of public datasets: `CoolDatasets. <http://cooldatasets.com/>`_
* 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>`_
* OpenDataMonitor: `An overview of available open data resources in Europe <http://opendatamonitor.eu>`_
* 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/100-interesting-data-sets-for-statistics/>`_
* StaTrek: `Leveraging open data to understand urban lives <http://xiaming.me/posts/2014/10/23/leveraging-open-data-to-understand-urban-lives/>`_