Recheck travis list

This commit is contained in:
Xiaming Chen 2015-12-23 16:04:01 +08:00
parent 84e71632c6
commit 628f0ed694
2 changed files with 6 additions and 5 deletions

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