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re3data: r3d100010762
UNdata is an international statistical database providing search and download options for a variety of statistical resources compiled by the United Nations (UN) statistical system and other international agencies. The numerous databases or tables, collectively known as "datamarts", contain over 60 million data points and cover a wide range of statistical themes including agriculture, crime, communication, development assistance, education, energy, environment, finance, gender, health, labour market, manufacturing, national accounts, population and migration, science and technology, tourism, transport and trade.
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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 unusually high or low risk, and contribute to global knowledge of the biology of SARS-CoV-2 infection and disease.
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re3data: r3d100012415
OAI-PMH URL: http://wrap.warwick.ac.uk/cgi/oai2This site provides access to the research output of the institution. Users may set up Atom or RSS feeds to be alerted to new content. The interface is available in English.
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UNdata is an international statistical database providing search and download options for a variety of statistical resources compiled by the United Nations (UN) statistical system and other international agencies. The numerous databases or tables, collectively known as "datamarts", contain over 60 million data points and cover a wide range of statistical themes including agriculture, crime, communication, development assistance, education, energy, environment, finance, gender, health, labour market, manufacturing, national accounts, population and migration, science and technology, tourism, transport and trade.
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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 unusually high or low risk, and contribute to global knowledge of the biology of SARS-CoV-2 infection and disease.
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For further information contact us at helpdesk@openaire.eu - Institutional Repository United Kingdom Compatibility:OpenAIRE PubRepos v4.0Partners:University of Oxford MultidisciplinaryUniversity of OxfordOAI-PMH URL: https://ora.ox.ac.uk/oai2
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OAI-PMH URL: http://wrap.warwick.ac.uk/cgi/oai2This site provides access to the research output of the institution. Users may set up Atom or RSS feeds to be alerted to new content. The interface is available in English.
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