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Ok, I found this one and it seems to be a good start: https://figshare.com/articles/Fields_of_Research_FoR_Classification/10305443


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Some of the projects listed under the data sets section of dspinelli's awesome list for mining software repositories (MSR) stuff might be useful. Some examples (additional information found on the GitHub list and through the links themselves): CoREBench: Realisitic, complex regression errors Bug Prediction dataset Unified Bug Dataset Ultimate Debian ...


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Thomas J. Holmes compiled data on Walmart store openings from 1962-2006, which you can download You could compare to the 2017 data from Brandify to find stores opened since 2006 (which stayed open until 2017). I don't know of any source of store-closing data.


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Hindi movie ratings available in Hindi movie ratings


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You can get a good amount of data from UCLA's Hollywood Diversity Report. Linked is the one for 2018, but is seems they do one every year. So far, I've only been able to find a PDF.


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Open Street Map (OSM) has a tag name=Walmart. https://wiki.openstreetmap.org/wiki/Tag:name%3DWalmart Note: In December 2017 Brandify provided Open Street Map with a database of all Walmart locations, and details This import took place January 2nd, 2018 and used OSM Conflator. So it's unlikely to have when the store was opened.


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It's not a big dataset, but you can use Telecommunications Towers and Antennas Connecticut General Statutes §16-50dd requires the Connecticut Siting Council to develop, maintain and update on a quarterly basis a Statewide Telecommunications Coverage Database that includes the location, type and height of all telecommunications towers and antennas in the ...


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You could check the ebird application, maybe you can get eagle datasets: https://ebird.org/home Regards


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Wikidata (the 'database' for Wikipedia) provides a nice SPARQL Query Service that you can use to extract structured data about ships. I am just discovering SPARQL now but I had a go at writing a query for passenger ferries: you can run it live here: https://w.wiki/Fah. It currently gives 961 results (but only 628 unique ships). I think this is a low figure,...


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The closest is probably Open Corporates, the data is not fully open data but you may be able to get what you need.


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iNaturalist is another good place to find photographs of biological organisms. You can easily filter for images with specified levels of copyright. This link will get you to a page with observations of genus Haliaeetus in the public domain (copyrights waived by the photographer under the CC0 designation): https://www.inaturalist.org/observations?...


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In addition to simply searching sources like Google Images or Getty Images, the Global Biodiversity Information Facility (GBIF) has a gallery feature that allows you to search for images of an organism. Note that (1) images are user contributed, therefore the licensing is determined by the contributor, and (2) are not hosted by GBIF directly. Make sure ...


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Another wordlist, Collins Scrabble Words, CSW15, is available as a txt file: http://pages.cs.wisc.edu/~o-laughl/csw15.txt archive: https://web.archive.org/web/20200109155307/http://pages.cs.wisc.edu/~o-laughl/csw15.txt (tweet source/discussion)


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Another option would be using anonymized ego network datasets from the Stanford Large Network Dataset Collection. The data contain a graph of undirected relationships and features observed for each vertex (e.g. profile information). The samples are from large social media platforms: Facebook (4039 vertices, 88234 edges) Google+ (107614 vertices, 13673453 ...


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If by thunderstorms you also mean storm events which produce lightning, you could try the Lightning Products and Services from NOAA. There are gridded products (geospatial NetCDF) and U.S. county level datasets containing "the number of cloud-to-ground lightning flashes" from 1986 to present. You might also be interested in NOAA's Storm Events Database, ...


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The Haiti Earthquake Data Portal hosted at Harvard's Dataverse contains a set of geospatial datasets on the 2010 earthquake in both vector and raster formats. https://dataverse.harvard.edu/dataverse/earthquake_data I have not personally inspected each file but they seem viable. Citations for the datasets: Berman, Lex, 2015, "Haiti Earthquake Data (...


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Elevation data is included in the „Generalisierte Gemeindegrenzen“ by the Swiss Federal statistical Office. See here: https://www.bfs.admin.ch/bfs/de/home/dienstleistungen/geostat/geodaten-bundesstatistik/administrative-grenzen/generalisierte-gemeindegrenzen.html A direct link to the Excel file: https://www.bfs.admin.ch/bfs/de/home/dienstleistungen/geostat/...


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I finally found a good source for this type of data. In the data sets associated with the Pajek Project you can find links to these FoodWeb Datasets. The actual relationships are given by indices, but there is a key for decoding them. For example, in the cypdry.paj file, 15 39 means that Great Blue Herons eat Crayfish. You will have to do some work, but ...


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This information can be produced from open data in GIS software. Here are the basic steps using QGIS, which is free GIS software. You can do the same thing in any GIS, but the specific tool names will be different. Download a DEM raster (digital elevation model) for Switzerland, eg from https://www.opendem.info/opendemeu_download_4326.html Download the ...


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Here is a possible SPARQL query for Wikidata: # swiss municipalities with their elevation SELECT ?muni ?muniLabel (MIN(?elevation) as ?minElevation) WHERE { ?muni wdt:P31 wd:Q70208. FILTER NOT EXISTS { ?muni wdt:P31 wd:Q685309 } OPTIONAL { ?muni wdt:P2044 ?elevation. ?muni p:P2044 ?statement. ?statement wikibase:rank ?rank. } SERVICE ...


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With exchange's public WebSocket API, you can get tick by tick level data. But I am aware that no data with that much detail are provided free. edit: You can use exchange's API such as wss://api-pub.bitfinex.com/ws/2 to get data now and record it for sometime to get historical dataset. But this requires time. In this case, we are providing historical raw ...


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The dataset used in the paper "Learning a Driving Simulator" seems to contain what you're after. The data is 7.25 hours of video files (45 GB compressed; 80 GB decompressed) annotated with measures including speed, acceleration, GPS coordinates, etc. The data is released under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. The ...


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football.db offers (historical) "free open public domain football data" including information on timestamps refined to the conventional minute level. Example schema for matches: ### Matches Quarter-finals - 1st Leg [Tue Apr/1] 20.45 FC Barcelona 1-1 Atlético Madrid @ Camp Nou, Barcelona [Neymar 71'; Diego 56'] 20.45 ...


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A good place to start is browsing the UC Irvine Machine Learning Repository. Note that you can sort by dataset task and attribute types.


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