February 7, 2023 Dataset Open Access

Zhang, Alice Tianbo; Gu, Vincent Xinyi

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  <identifier identifierType="DOI">10.5281/zenodo.7616852</identifier>
  <creators>
    <creator>
      <creatorName>Zhang, Alice Tianbo</creatorName>
      <givenName>Alice Tianbo</givenName>
      <familyName>Zhang</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6649-7628</nameIdentifier>
      <affiliation>Washington and Lee University</affiliation>
    </creator>
    <creator>
      <creatorName>Gu, Vincent Xinyi</creatorName>
      <givenName>Vincent Xinyi</givenName>
      <familyName>Gu</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3629-9668</nameIdentifier>
      <affiliation>Georgia Institute of Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2023</publicationYear>
  <subjects>
    <subject>Global Dam Tracker (GDAT)</subject>
    <subject>Dams</subject>
    <subject>Catchments</subject>
    <subject>Energy Policy</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2023-02-07</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7616852</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPublishedIn" resourceTypeGeneral="JournalArticle">10.1038/s41597-023-02008-2</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.7616851</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1</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;Citation&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Zhang, Alice Tianbo, and Vincent Xinyi Gu. 2023. &amp;ldquo;Global Dam Tracker: A Database of More than 35,000 Dams with Location, Catchment, and Attribute Information.&amp;rdquo; &lt;em&gt;Scientific Data&lt;/em&gt; 10 (1): 111.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://www.nature.com/articles/s41597-023-02008-2"&gt;https://www.nature.com/articles/s41597-023-02008-2&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;We present one of the most comprehensive geo-referenced global dam databases to date. The Global Dam Tracker (GDAT) contains 35,000 dams with cross-validated geo-coordinates, satellite-derived catchment areas, and detailed attribute information. Combining GDAT with fine-scaled satellite data spanning three decades, we demonstrate how GDAT improves upon existing databases to enable the inter-temporal analysis of the costs and benefits of dam construction on a global scale. Our findings show that over the past three decades, dams have contributed to a dramatic increase in global surface water coverage, especially in developing countries in Asia and South America. This is an important step toward a more systematic understanding of the worldwide impact of dams on local communities. By filling in the data gap, GDAT would help inform a more sustainable and equitable approach to energy access and economic development.&lt;/p&gt;</description>
  </descriptions>
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