February 7, 2023 Dataset Open Access

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>", 
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    "title": "Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information", 
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    "keywords": [
      "Global Dam Tracker (GDAT)", 
      "Dams", 
      "Catchments", 
      "Energy Policy"
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    "publication_date": "2023-02-07", 
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        "affiliation": "Washington and Lee University", 
        "name": "Zhang, Alice Tianbo"
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        "affiliation": "Georgia Institute of Technology", 
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