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Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information

Zhang, Alice Tianbo; Gu, Vincent Xinyi


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{
  "description": "<p><strong>Citation</strong></p>\n\n<p>Zhang, Alice Tianbo, and Vincent Xinyi Gu. 2023. &ldquo;Global Dam Tracker: A Database of More than 35,000 Dams with Location, Catchment, and Attribute Information.&rdquo; <em>Scientific Data</em> 10 (1): 111.</p>\n\n<p><a href=\"https://www.nature.com/articles/s41597-023-02008-2\">https://www.nature.com/articles/s41597-023-02008-2</a></p>\n\n<p>&nbsp;</p>\n\n<p><strong>Description</strong></p>\n\n<p>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.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Washington and Lee University", 
      "@id": "https://orcid.org/0000-0001-6649-7628", 
      "@type": "Person", 
      "name": "Zhang, Alice Tianbo"
    }, 
    {
      "affiliation": "Georgia Institute of Technology", 
      "@id": "https://orcid.org/0000-0003-3629-9668", 
      "@type": "Person", 
      "name": "Gu, Vincent Xinyi"
    }
  ], 
  "url": "https://zenodo.org/record/7616852", 
  "datePublished": "2023-02-07", 
  "version": "v1", 
  "keywords": [
    "Global Dam Tracker (GDAT)", 
    "Dams", 
    "Catchments", 
    "Energy Policy"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/405d5662-ba74-4bd0-aa79-70ed1ab66c97/GDAT_data_v1.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.7616852", 
  "@id": "https://doi.org/10.5281/zenodo.7616852", 
  "@type": "Dataset", 
  "name": "Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information"
}
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