Dataset Open Access

COVID19 Flow-Maps GeoLayers dataset

Miguel Ponce-de-Leon; Javier del Valle; José María Fernández; Marc Bernardo; Davide Crillo; Jon Sanchez-Valle; Matthew Smith; Salvador Capella-Gutierrez; Tania Gullón; Alfonso Valencia


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  <identifier identifierType="DOI">10.5281/zenodo.4634663</identifier>
  <creators>
    <creator>
      <creatorName>Miguel Ponce-de-Leon</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7496-844X</nameIdentifier>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
    <creator>
      <creatorName>Javier del Valle</creatorName>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
    <creator>
      <creatorName>José María Fernández</creatorName>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
    <creator>
      <creatorName>Marc Bernardo</creatorName>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
    <creator>
      <creatorName>Davide Crillo</creatorName>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
    <creator>
      <creatorName>Jon Sanchez-Valle</creatorName>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
    <creator>
      <creatorName>Matthew Smith</creatorName>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
    <creator>
      <creatorName>Salvador Capella-Gutierrez</creatorName>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
    <creator>
      <creatorName>Tania Gullón</creatorName>
      <affiliation>Ministerio de Transportes, Movilidad y Agenda Urbana</affiliation>
    </creator>
    <creator>
      <creatorName>Alfonso Valencia</creatorName>
      <affiliation>Barcelona Supercomputing Center</affiliation>
    </creator>
  </creators>
  <titles>
    <title>COVID19 Flow-Maps GeoLayers dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>GIS</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-03-24</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4634663</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/bsc-flowmaps/fm-layers/tree/v1.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPublishedIn" resourceTypeGeneral="JournalArticle">10.1038/s41597-021-01093-5</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4634662</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/flow-maps</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Geographic layers&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Geographic layers on which the different data records are geo-referenced (e.g. mobility, COVID-19 cases). The different layers can be grouped into those that cover the whole territory of pain (e.g. municipalities) and those that are restricted to a specific region (Table1). Among those that cover the full territory of Spain, the record accounts for the first four levels of administrative division, that is, autonomous communities, provinces, municipalities and districts.&lt;/p&gt;

&lt;p&gt;Visit&amp;nbsp;&lt;a href="https://flowmaps.life.bsc.es/flowboard/data"&gt;https://flowmaps.life.bsc.es/flowboard/data&lt;/a&gt;&amp;nbsp;for more information about the data.&lt;/p&gt;

&lt;p&gt;Layers (geo-json format):&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;cnig_ccaa : Comunidades Aut&amp;oacute;nomas CNIG&lt;/li&gt;
	&lt;li&gt;cnig_provincias : Provincias CNIG&lt;/li&gt;
	&lt;li&gt;cnig_municipios : Municipios CNIG&lt;/li&gt;
	&lt;li&gt;ine_sec : Secciones censales INE&lt;/li&gt;
	&lt;li&gt;mitma_mov : &amp;Aacute;reas de movilidad MITMA&lt;/li&gt;
	&lt;li&gt;zbs_07 : Zonas B&amp;aacute;sicas de Salud de Cy&lt;/li&gt;
	&lt;li&gt;abs_09 : &amp;Agrave;rees B&amp;agrave;siques de Salut GenCat&lt;/li&gt;
	&lt;li&gt;zon_bas_13 : Zonas b&amp;aacute;sicas sanitarias de Madrid&lt;/li&gt;
	&lt;li&gt;oe_16 : Osasun Eremuak (Zonas de Salud) Euskadi&lt;/li&gt;
	&lt;li&gt;zbs_15 : Zonas B&amp;aacute;sicas de Salud del Servicio Navarro de Salud&lt;/li&gt;
&lt;/ul&gt;</description>
    <description descriptionType="Other">This work was supported by the Generalitat de Catalunya through the project PDAD14/20/00001, by the H2020 Programme under Grant Agreement 825070 (INFORE) and by the INB Grant (PT17/0009/0001 - ISCIII-SGEFI/ERDF).</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/825070/">825070</awardNumber>
      <awardTitle>Interactive Extreme-Scale Analytics and Forecasting</awardTitle>
    </fundingReference>
  </fundingReferences>
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