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Recheck travis list
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@ -4,4 +4,5 @@ rvm:
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before_script:
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- gem install awesome_bot
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script:
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- awesome_bot README.rst --allow-dupe --allow-redirect --white-list travis
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- site404=www.datawrangling.com,getglue-data.s3.amazonaws.com,archive.org/details/2011-05-calufa-twitter-sql,www.stats4stem.org,lib.stat.cmu.edu
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- awesome_bot README.rst --allow-dupe --allow-redirect --white-list travis,crawdad.cs.dartmouth.edu,data.nasdaq.com,137.189.35.203/WebUI/CatDatabase/catData.html,datamob.org,numbrary.com,gdeltproject.org,www.cmr.osu.edu,$site404
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@ -65,7 +65,7 @@ Climate/Weather
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* `The World Bank Open Data Resources for Climate Change <http://data.worldbank.org/developers/climate-data-api>`_
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* `UEA Climatic Research Unit <http://www.cru.uea.ac.uk/data>`_
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* `WorldClim - Global Climate Data <http://www.worldclim.org>`_
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* `WU Historical Weather Worldwide <http://www.wunderground.com/history/index.html>`_
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* `WU Historical Weather Worldwide <https://www.wunderground.com/history/index.html>`_
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Complex Networks
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@ -119,7 +119,7 @@ Data Challenges
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* `DrivenData Competitions for Social Good <http://www.drivendata.org/>`_
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* `ICWSM Data Challenge (since 2009) <http://icwsm.cs.umbc.edu/>`_
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* `Kaggle Competition Data <https://www.kaggle.com/>`_
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* `KDD Cup by Tencent 2012 <https://www.kddcup2012.org/>`_
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* `KDD Cup by Tencent 2012 <http://www.kddcup2012.org/>`_
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* `Localytics Data Visualization Challenge <https://github.com/localytics/data-viz-challenge>`_
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* `Netflix Prize <http://www.netflixprize.com/leaderboard>`_
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* `Space Apps Challenge <https://2015.spaceappschallenge.org>`_
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@ -211,7 +211,7 @@ Government
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* `Durham, NC Open Data <https://opendurham.nc.gov/explore/>`_
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* `England LGInform <http://lginform.local.gov.uk/>`_
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* `EuroStat <http://ec.europa.eu/eurostat/data/database>`_
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* `FedStats <http://www.fedstats.gov/cgi-bin/A2Z.cgi>`_
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* `FedStats <http://fedstats.sites.usa.gov/>`_
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* `Finland <https://www.opendata.fi/en>`_
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* `France <https://www.data.gouv.fr/en/datasets/>`_
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* `Germany <https://www-genesis.destatis.de/genesis/online>`_
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@ -298,7 +298,7 @@ Machine Learning
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----------------
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* `Delve Datasets for classification and regression (Univ. of Toronto) <http://www.cs.toronto.edu/~delve/data/datasets.html>`_
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* `Discogs Monthly Data <http://www.discogs.com/data/>`_
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* `Discogs Monthly Data <http://data.discogs.com/>`_
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* `eBay Online Auctions (2012) <http://www.modelingonlineauctions.com/datasets>`_
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* `IMDb Database <http://www.imdb.com/interfaces>`_
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* `Keel Repository for classification, regression and time series <http://sci2s.ugr.es/keel/datasets.php>`_
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