====== Data sets URLs ====== - https://data.world/data-society/used-cars-data - https://data.world/history/scottish-witchcraft - https://data.world/footprint/nfa-2018-edition - https://data.world/dhs/railroads - https://data.world/ctr/transportation-networks - https://github.com/amanthedorkknight/fifa18-all-player-statistics ; https://www.uruit.com/blog/2018/02/16/soccer-and-machine-learning-tutorial/?utm_source=foros&utm_medium=textlink - https://data.world/settings/profile - https://data.world/search?page=4&q=world+countries - https://data.world/geonames/gazetteer-all-countries - http://download.geonames.org/export/dump/ - https://data.world/data-society/us-county-level-data - https://data.world/data-society/lending-club-loan-data - https://data.world/data-society/chicago-taxi-trip-data - https://data.cityofchicago.org/Transportation/Taxi-Trips/wrvz-psew#column-menu - https://data.world/data-society/the-simpsons-by-the-data ===== Temporal ===== * Hartmut Lentz: [[https://github.com/hartmutlentz/TemporalNetworkAccessibility|Temporal Network Accessibility]] / python * CRAN-R: [[https://cran.r-project.org/web/packages/networkDynamicData/|Network Dynamic Data]] * Human Nature Lab: [[http://humannaturelab.net/resources/data/|data]], [[http://humannaturelab.net/paper/tastes-ties-and-time-a-new-cultural-multiplex-and-longitudinal-social-network-dataset-using-facebook-com/|paper]] * Manlio De Domenico: [[http://deim.urv.cat/~manlio.dedomenico/data.php|Data]] * Aaron Clauset / Santa Fe: [[http://tuvalu.santafe.edu/~aaronc/datacode.htm|Data]] * Causality / ETH: [[http://www.causality.inf.ethz.ch/repository.php|Data]] * Topdrim - Topology driven methods for complex systems: [[http://www.topdrim.eu/data/|Data]] * 4TU.Centre for Research Data: [[https://data.3tu.nl/repository/uuid:8f914d61-a9b6-4de0-9698-e0345dabb8e4#DATA|test network]] * [[http://www.fmrib.ox.ac.uk/analysis/TFMs/|Temporal Functional Modes]] * [[http://fluxnet.fluxdata.org/data/fluxnet2015-dataset/|FLUXNET2015 Dataset]] * Jinhu Lu, Xinghuo Yu, Guanrong Chen, Wenwu Yu: [[https://books.google.si/books?id=todgCgAAQBAJ|Complex Systems and Networks: Dynamics, Controls and Applications]], Springer 2015 * Uraz Cengiz Turker, Selim Balcisoy: [[http://www.sciencedirect.com/science/article/pii/S1045926X13000773|A visualisation technique for large temporal social network datasets in Hyperbolic space]], SN 2014 * Udayan Khurana, Amol Deshpande: [[http://dl.acm.org/citation.cfm?id=2465262&dl=ACM&coll=DL&CFID=620380265&CFTOKEN=82202463|HiNGE: enabling temporal network analytics at scale]] * John Kit Tang: [[https://www.cl.cam.ac.uk/~cm542/phds/johntang.pdf|Temporal network metrics and their application to real world networks]], phd thesis * Frederic Amblard, Arnaud Casteigts, Paola Flocchini, Walter Quattrociocchi, Nicola Santoro:[[https://www.site.uottawa.ca/~flocchin/Papers/ACFQS11.pdf|On the Temporal Analysis of Scientific Network Evolution]] * Tue Herlau, Morten Mørup, Mikkel N. Schmidt: [[http://www.jmlr.org/proceedings/papers/v28/herlau13.pdf|Modeling Temporal Evolution and Multiscale Structure in Networks]]. * Lionel Tabourier, Anne-Sophie Libert, Renaud Lambiotte: [[http://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-015-0062-0|Predicting links in ego-networks using temporal information]] * Jérôme Kunegis: [[http://www2013.wwwconference.org/companion/p1343.pdf|KONECT – The Koblenz Network Collection]] ===== General ===== * Laboratory for Web Algorithmics: [[http://law.di.unimi.it/datasets.php|Data]] * Aaron Clauset / Santa Fe: [[http://tuvalu.santafe.edu/~aaronc/datacode.htm|Data]] * PhysioNet - a large collections of recorded physiologic signals: [[http://www.physionet.org/|Data]] * 4TU.Centre for Research Data: [[http://data.3tu.nl/repository/|repository]] * TERN - The Terrestrial Ecosystem Research Network / Au: [[http://www.tern.org.au/Data-Update-Sep15-pg31041.html|update]] * Gov.Ie: [[https://data.gov.ie/dataset/local-authority-museums-network|Local authority museums network]] * QuantUrb: [[http://www.quanturb.com/data.html|Data]] * [[http://www.europeansocialsurvey.org/|European Social Survey]] * [[https://mran.microsoft.com/documents/data/|MRAN]] - MS CRAN * NASA: [[http://sedac.ciesin.columbia.edu/data/set/groads-global-roads-open-access-v1/metadata|Global Roads Open Access Data Set]] * Gov.UK: [[https://data.gov.uk/dataset/uk-heavy-metals-monitoring-network|UK Heavy Metals Monitoring Network]] * Tore Opsahl: [[https://toreopsahl.com/datasets/|Network data]] * Dryad Digital Repository: [[http://datadryad.org/|data]] - discoverable, freely reusable, and citable data. * Hartmut H. K. Lentz, Andreas Koher, Philipp Hövel, Jörn Gethmann, Carola Sauter-Louis, Thomas Selhorst, Franz J. Conraths: Disease Spread through Animal Movements: A Static and Temporal Network Analysis of Pig Trade in Germany.[[http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0155196|PLOS ONE]], 2016 * IMDb: [[http://www.imdb.com/interfaces|Alternative Interfaces]] * American Physical Society: [[http://journals.aps.org/datasets|Data Sets for Research]] * AMiner: [[http://arnetminer.org/billboard/AMinerNetwork|Extraction and Mining of Academic Social Networks]], [[http://aminer.org/big-scholar-challenge/#calls-scholar-data-challenge|Challenge]] * Webscope / Yahoo: [[http://webscope.sandbox.yahoo.com/|main page]], [[http://webscope.sandbox.yahoo.com/catalog.php?datatype=r|Ratings and Classification Data]], [[http://webscope.sandbox.yahoo.com/myrequests.php|my requests]] * UCI Irvine [[https://networkdata.ics.uci.edu/index.php|network data repository]] * Statsci.org: [[http://www.statsci.org/datasets.html|Data sets]] * LASAGNE [[http://pizza.cs.bham.ac.uk/lmtf/|Multilayer Network Transformation Framework]] * Riccardo Gallotti, Marc Barthelemy: [[http://www.nature.com/articles/sdata201456|The multilayer temporal network of public transport in Great Britain]] * Molecular data: https://www.drugbank.ca/drugs/DB01000 ( PDB, MOL ); https://www.drugbank.ca/drugs ; construcz two-mode (mol,cat) -> fragments !? ===== Kaggle ===== * [[https://www.kaggle.com/sijovm/atpdata|ATP Matches, 1968 to 2017]] * [[https://www.kaggle.com/hugomathien/soccer|European Soccer Database25k+ matches, players & teams attributes for European Professional Football]] * [[https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city|Uber Pickups in New York City]] * [[https://www.kaggle.com/openfoodfacts/world-food-facts|Open Food Facts]] * [[https://www.kaggle.com/hugodarwood/epirecipes|Epicurious - Recipes with Rating and Nutrition]] [[https://www.kaggle.com/nyctaxi/yellow-taxis|NYC Yellow Taxi Trips, January-June 2016]] How much does the average yellow taxi trip cost in fares, tolls, and taxes? * [[https://www.kaggle.com/secareanualin/football-events|Football EventsMore than 900,000 events from 9,074 football games across Europe]] * [[https://www.kaggle.com/csanhueza/the-marvel-universe-social-network|The Marvel Universe Social Network - An artificial social network of heroes]] * [[https://www.kaggle.com/orgesleka/used-cars-database|Used cars databaseOver 370,000 used cars scraped from Ebay Kleinanzeigen]]; [[https://www.kaggle.com/orgesleka/used-cars-database/downloads/used-cars-database.zip|data]] * [[https://www.kaggle.com/open-source-sports/professional-hockey-database|Professional Hockey DatabaseData on hockey players, teams, and coaches from 1909 to 2011]] * [[https://www.kaggle.com/nickhould/craft-cans|Craft Beers Dataset2K+ craft canned beers from the US and 500+ breweries in the United States.]] * [[https://www.kaggle.com/seanlahman/the-history-of-baseball|The History of Baseball - A complete history of major league baseball stats from 1871 to 2015]] * [[https://www.kaggle.com/figshare/united-states-commutes|United States Commutes. Visualizing over 4 million home-to-work commutes in the United States]]; [[http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0166083|paper]] * [[https://www.kaggle.com/felipeleiteantunes/braziliancongress|Brazilian congress. Patterns in the Brazilian congress voting behavior]] * [[https://www.kaggle.com/pronto/cycle-share-dataset|Cycle Share Dataset Bicycle Trip Data from Seattle's Cycle Share System Pronto Cycle Share]] * [[https://www.kaggle.com/grouplens/movielens-20m-dataset|MovieLens 20M Dataset. Over 20 Million Movie Ratings and Tagging Activities Since 1995]] * [[https://www.kaggle.com/unitednations/general-assembly|UN General Assembly Votes, 1946-2015. Votes by member states on individual resolutions and specific issues]]