@electronic{www.csie.ntu.edu.tw,
   title       = {LIBSVM Data: Multi-label Classification}, 
   url         = {http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multilabel.html},
   biburl      = {https://puma.uni-kassel.de/url/a64989029a11e5d34d7df6b38241235d/hotho},
   keywords    = {dataset label libsvm multi reuters},
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@electronic{googleresearch.blogspot.de,
   title       = {50,000 Lessons on How to Read: a Relation Extraction Corpus}, 
   url         = {http://googleresearch.blogspot.de/2013/04/50000-lessons-on-how-to-read-relation.html},
   biburl      = {https://puma.uni-kassel.de/url/581c1631a929f1162f86e02337d50478/hotho},
   keywords    = {corpus dataset extraction relation},
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@electronic{www.spiegel.de,
   title       = {Carna-Botnet: Internet-Zensus mit Hacker-Methoden - SPIEGEL ONLINE}, 
   url         = {http://www.spiegel.de/netzwelt/web/carna-botnet-internet-zensus-mit-hacker-methoden-a-890225.html},
   biburl      = {https://puma.uni-kassel.de/url/6a21544c1f679121afd2b52416a22cac/hotho},
   keywords    = {botnet hacker internet zensus dataset},
   added-at    = {2013-03-22T10:19:42.000+0100},
   description = {Wie groß ist das Internet? Ein unbekannter Hacker beantwortet diese Frage jetzt - mit effektiven, aber illegalen Mitteln: Er verschaffte sich Zugriff auf Hunderttausende Router und nutzte sie als Forschungssonde. Das Ergebnis ist ein einzigartiges Abbild des Internets von heute.},
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@electronic{internetcensus2012.bitbucket.org,
   title       = {Internet Census 2012}, 
   url         = {http://internetcensus2012.bitbucket.org/download.html},
   biburl      = {https://puma.uni-kassel.de/url/08376591f64601b706c6b602e2d24aa5/hotho},
   keywords    = {2012 census internet dataset},
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@electronic{googleresearch.blogspot.de,
   title       = {Learning from Big Data: 40 Million Entities in Context}, 
   url         = {http://googleresearch.blogspot.de/2013/03/learning-from-big-data-40-million.html},
   biburl      = {https://puma.uni-kassel.de/url/14073030361b1ef9cfcc6881845c9a28/hotho},
   keywords    = {40 data dataset learning million wikipedia},
   added-at    = {2013-03-11T09:42:06.000+0100},
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@electronic{data.nytimes.com,
   title       = {New York Times - Linked Open Data}, 
   url         = {http://data.nytimes.com/},
   biburl      = {https://puma.uni-kassel.de/url/4fbecf6bf73ae40fc38b5ad124a8f3ab/hotho},
   keywords    = {data dataset headline linked open subject tags},
   added-at    = {2012-11-13T21:32:46.000+0100},
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@electronic{cs.everyaware.eu,
   title       = {Index of /Downloads}, 
   url         = {http://cs.everyaware.eu/datasets/Downloads/?C=M;O=D},
   biburl      = {https://puma.uni-kassel.de/url/b61c3d4de05b0ecc5085d555a3584b69/hotho},
   keywords    = {dataset dump everyaware},
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@electronic{icwsm.cs.mcgill.ca,
   title       = {ICWSM Datasets}, 
   url         = {http://icwsm.cs.mcgill.ca/},
   biburl      = {https://puma.uni-kassel.de/url/aa721ac5890b1453455c7cfb60786e39/hotho},
   keywords    = {dataset social web},
   added-at    = {2012-09-27T12:05:25.000+0200},
   description = {},
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@electronic{konect.uni-koblenz.de,
   title       = {KONECT - The Koblenz Network Collection}, 
   url         = {http://konect.uni-koblenz.de/networks},
   biburl      = {https://puma.uni-kassel.de/url/b013fbde8e7285492579808d2e8102cc/stephandoerfel},
   keywords    = {dataset konect network},
   added-at    = {2012-09-11T17:13:40.000+0200},
   description = {Folksonomy},
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@electronic{data.linkedin.com,
   title       = {The LinkedIn Data Team}, 
   url         = {http://data.linkedin.com/},
   biburl      = {https://puma.uni-kassel.de/url/83c7373bc753e40ed7a611b646917cab/hotho},
   keywords    = {data dataset linkedin},
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@electronic{ebiquity.umbc.edu,
   title       = {Google releases dataset linking strings and concepts}, 
   url         = {http://ebiquity.umbc.edu/blogger/2012/05/19/google-releases-database-linking-strings-and-concepts/},
   biburl      = {https://puma.uni-kassel.de/url/a72550cd421df3885e2c4f1ba646f3f6/hotho},
   keywords    = {google linking strings dataset},
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@electronic{konect.uni-koblenz.de,
   title       = {KONECT - The Koblenz Network Collection}, 
   url         = {http://konect.uni-koblenz.de/},
   biburl      = {https://puma.uni-kassel.de/url/9db0e03bc323cbbba4199a87ec239bf9/stumme},
   keywords    = {data dataset graphs network networks set},
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@electronic{opacplus.bib-bvb.de,
   title       = {Online-Hilfe}, 
   url         = {https://opacplus.bib-bvb.de/TouchPoint_touchpoint/help.do?helpContext=opendata},
   biburl      = {https://puma.uni-kassel.de/url/f7036c0c8e8eca12d3f7116f3770af30/hotho},
   keywords    = {bayern dataset katalog online},
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@electronic{www.infochimps.com,
   title       = {Million Songs data collection | Infochimps}, 
   url         = {http://www.infochimps.com/collections/million-songs},
   biburl      = {https://puma.uni-kassel.de/url/4e22c4e11eab7d98433f86a4b6922658/hotho},
   keywords    = {dataset download music musik songs},
   added-at    = {2012-04-30T13:51:39.000+0200},
   description = {A collection of 28 datasets containing audio features and metadata for a million contemporary popular music tracks.  The collection represents a collaboration between LabROSA and The Echo Nest. More details, background, and instructions on how to use the datasets can be found at LabROSA’s site. The goal of sharing this data on Infochimps is to provide a large dataset for research and to encourage large-scale algorithms surrounding the data.  There is one dataset for each letter of the alphabet (A-Z) containing data for all songs that start with that letter, one dataset of additional files, and a small sample dataset.  Each of the datasets for each letter consists of song files in the HDF5 format.  Most of the data is licensed the same way as Echo Nest’s API. The code is under GNU public license.},
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@electronic{www.kaggle.com,
   title       = {Description - Million Song Dataset Challenge - Kaggle}, 
   url         = {https://www.kaggle.com/c/msdchallenge},
   biburl      = {https://puma.uni-kassel.de/url/4d9684dccd47ad104d5fa19f09837028/hotho},
   keywords    = {categorization dataset million music musik prediction songs},
   added-at    = {2012-04-30T12:57:55.000+0200},
   description = {Kaggle is a platform for data prediction competitions. Companies, organizations and researchers post their data and have it scrutinized by the world's best statisticians.},
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@electronic{data.epo.org,
   title       = {EPO -}, 
   url         = {https://data.epo.org/},
   biburl      = {https://puma.uni-kassel.de/url/11a9ffcc313b4cb03e63a50dcbe4dc88/hotho},
   keywords    = {dataset patents},
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@electronic{aws.amazon.com,
   title       = {Public Data Sets : Amazon Web Services}, 
   url         = {https://aws.amazon.com/datasets},
   biburl      = {https://puma.uni-kassel.de/url/48b9df49989995b03485eb2292c2c96f/hotho},
   keywords    = {amazon cloud dataset},
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   intrahash   = {48b9df49989995b03485eb2292c2c96f}
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@electronic{www.commoncrawl.org,
   title       = {Accessing the Data | CommonCrawl}, 
   url         = {http://www.commoncrawl.org/data/accessing-the-data/},
   biburl      = {https://puma.uni-kassel.de/url/770c120cddae8e771b16c587ff1253fb/hotho},
   keywords    = {accessing commoncrawl data web dataset},
   added-at    = {2011-11-08T15:53:16.000+0100},
   description = {},
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   intrahash   = {770c120cddae8e771b16c587ff1253fb}
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@electronic{www.sociopatterns.org,
   title       = {DATASETS « SocioPatterns.org}, 
   url         = {http://www.sociopatterns.org/datasets/},
   biburl      = {https://puma.uni-kassel.de/url/870dc1a4d4e6653e5d83183c55eea43e/hotho},
   keywords    = {dynamics patters research rfid socio tags dataset},
   added-at    = {2011-11-04T15:52:12.000+0100},
   description = {A research project that aims to uncover fundamental patterns in social dynamics and coordinated human activity through a data-driven approach.},
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@electronic{www.theregister.co.uk,
   title       = {Army of 'socialbots' steal gigabytes of Facebook user data}, 
   url         = {http://www.theregister.co.uk/2011/11/01/facebook_infiltration_bots/},
   biburl      = {https://puma.uni-kassel.de/url/9d92347be27b7c84c767199400bb5322/hotho},
   keywords    = {data dataset facebook science social web},
   added-at    = {2011-11-02T13:17:09.000+0100},
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