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@ -148,6 +148,7 @@ Data Challenges
* `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/>`_
* `TunedIT - Data mining & machine learning data sets, algorithms, challenges <http://tunedit.org/challenges/>`_
* `Yelp Dataset Challenge <http://www.yelp.com/dataset_challenge>`_
@ -171,6 +172,7 @@ Economics
* `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/>`_
* `INFORUM - EconData <http://inforumweb.umd.edu/>`_
* `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/>`_
@ -420,6 +422,7 @@ 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>`_
* `Causality Workbench Data Repository <http://www.causality.inf.ethz.ch/repository.php/>`_
* `CMU JASA data archive <http://lib.stat.cmu.edu/jasadata/>`_
* `CMU StatLab collections <http://lib.stat.cmu.edu/datasets/>`_
* `Data.World <https://data.world>`_