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README.rst
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README.rst
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@ -78,6 +78,7 @@ Climate/Weather
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* `Canadian Meteorological Centre <http://weather.gc.ca/grib/index_e.html>`_
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* `Climate Data from UEA (updated monthly) <https://crudata.uea.ac.uk/cru/data/temperature/#datter and ftp://ftp.cmdl.noaa.gov/>`_
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* `European Climate Assessment & Dataset <http://eca.knmi.nl/>`_
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* `DWD Climate Data Center (CDC) - Deutscher Wetterdienst ftp://ftp-cdc.dwd.de/pub/CDC/ <ftp://ftp-cdc.dwd.de/pub/CDC/>`_
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* `Global Climate Data Since 1929 <http://en.tutiempo.net/climate>`_
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* `NASA Global Imagery Browse Services <https://wiki.earthdata.nasa.gov/display/GIBS>`_
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* `NOAA Bering Sea Climate <http://www.beringclimate.noaa.gov/>`_
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@ -210,6 +211,8 @@ Energy
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* `Tracebase <https://www.tracebase.org>`_
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* `UK-DALE <http://www.doc.ic.ac.uk/~dk3810/data/>`_ - UK Domestic Appliance-Level Electricity
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* `WHITED <http://nilmworkshop.org/2016/proceedings/Poster_ID18.pdf>`_
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* `Windnode Berliner Stromverteilungsnetz <http://windnode.fokus.fraunhofer.de/dataset>`_
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Finance
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@ -400,6 +403,16 @@ Neuroscience
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* `OpenfMRI <https://openfmri.org/>`_
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* `Study Forrest <http://studyforrest.org>`_
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Predictive Maintenance
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* `kaggle Bosch Production Line Performance <https://www.kaggle.com/c/bosch-production-line-performance>`_
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* `kaggle Predictive Maintenance <https://www.kaggle.com/ludobenistant/predictive-maintenance>`_
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* `PHM Society Conference Data Challenge 2011 <https://www.phmsociety.org/competition/phm/11>`_
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* `Prognostics Data Repository <https://ti.arc.nasa.gov/tech/dash/pcoe/prognostic-data-repository/>`_
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* `SQL R Services: Predictive Maintenance Modeling Guide <https://github.com/Microsoft/SQL-Server-R-Services-Samples/tree/master/PredictiveMaintanenceModelingGuide>`_
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* `CERN Open Data Portal <http://opendata.cern.ch/>`_
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Physics
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-------
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