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Openstreetmap (OSM) is an excellent source of all kinds of vector data on human infrastructure, particularly in urban areas of the USA and Europe. You'll need to figure out which OSM tags for polygons refer to the types of green spaces you are interested in. There are many ways to access OSM data - wholesale country downloads, regions, by tag, etc. Have a ...


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There is a large body of research and data around COVID-19. Help the global community better understand the disease by getting involved on Kaggle. Datasets in Kaggle related to COVID Popular datasets COVID-19 Open Research Dataset Challenge (CORD-19) UNCOVER COVID-19 Challenge


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here is one resource https://www.covid19hg.org/ The COVID-19 host genetics initiative brings together the human genetics community to generate, share and analyze data to learn the genetic determinants of COVID-19 susceptibility, severity and outcomes. Such discoveries could help to generate hypotheses for drug repurposing, identify individuals at ...


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Each state in the US runs their governments differently; while there may be similarities and/or overlap between them, I'm going to go ahead and say that there are 50 different versions of who collects necessary administrative data in US state governments. Adding to the 50 different versions, I'm not aware of any state that has any one agency/office/director ...


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Three datasets come to my mind. The largest one is The Semantic Scholar Open Research Corpus (S2ORC), comprising 12.7M+ full text papers from various disciplines. Another cross-disciplinary dataset (of 40k full-text papers) is the Elsevier OA CC-BY Corpus. Another final that is, however, merely reduced to COVID-related papers, is CORD-19: The Covid-19 ...


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I know of three possibilities: Unpaywall's API. Use https://api.unpaywall.org/v2/{DOI} to access it. Not only does it provide a binary is_oa field (with the values true or false) and an oa_status field (e.g. green open access), but it even links to repositories and other locations where you can obtain a free version of the paper. Read more instructions here....


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Other than CrossRef alone, OpenCitations might be of help to you as well.


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Tanzania Life Table 2013 data collected from UNICEF website “State of the World children 2015 Tanzania Statistical table”


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This answer may not fully answer your question. Have you seen the Plot a confidence ellipse of a two-dimensional dataset? Here they use plotting an ellipse for a two-dimensional dataset. or if you are looking for data points to plot you can use the parametric equation of an ellipse and generate random datapoints x = u+a.cos(t) ; y = v+b.sin(t) import numpy ...


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