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  <identifier identifierType="DOI">10.7910/DVN/A1H2SH</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Schneider, Katherine</creatorName>
      <givenName>Katherine</givenName>
      <familyName>Schneider</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0002-6861-3255</nameIdentifier>
      <affiliation>Johns Hopkins</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Replication Data for: The state of food systems worldwide in the countdown to 2030</title>
  </titles>
  <publisher>Harvard Dataverse</publisher>
  <publicationYear>2023</publicationYear>
  <subjects>
    <subject>Agricultural Sciences</subject>
    <subject>Earth and Environmental Sciences</subject>
    <subject>Medicine, Health and Life Sciences</subject>
    <subject>Social Sciences</subject>
    <subject schemeURI="https://www.fao.org/agrovoc/" subjectScheme="AGROVOC">food systems, indicators, monitoring systems</subject>
  </subjects>
  <contributors>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Schneider, Katherine</contributorName>
      <givenName>Katherine</givenName>
      <familyName>Schneider</familyName>
      <affiliation>Johns Hopkins</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Submitted">2023-10-30</date>
    <date dateType="Available">2023-12-07</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <sizes>
    <size>7384121</size>
    <size>215328</size>
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  <version>1.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess"/>
    <rights rightsURI="http://creativecommons.org/licenses/by-nc-sa/4.0" xml:lang="en">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Archival replication dataset for the 2023 publication: &amp;quot;The state of food systems worldwide in the countdown to 2030&amp;quot;. The replication code and raw data are all available in the following GitHub repository: https://github.com/KateSchneider-FoodPol/FSCI_2023Baseline_Replication

This archived dataset serves to provide a DOI and citation for the dataset.</description>
  </descriptions>
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