Dataset Open Access
Zhang, Alice Tianbo;
Gu, Vincent Xinyi
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Zhang, Alice Tianbo</dc:creator> <dc:creator>Gu, Vincent Xinyi</dc:creator> <dc:date>2023-02-07</dc:date> <dc:description>Citation Zhang, Alice Tianbo, and Vincent Xinyi Gu. 2023. “Global Dam Tracker: A Database of More than 35,000 Dams with Location, Catchment, and Attribute Information.” Scientific Data 10 (1): 111. https://www.nature.com/articles/s41597-023-02008-2 Description 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.</dc:description> <dc:identifier>https://zenodo.org/record/7616852</dc:identifier> <dc:identifier>10.5281/zenodo.7616852</dc:identifier> <dc:identifier>oai:zenodo.org:7616852</dc:identifier> <dc:relation>doi:10.1038/s41597-023-02008-2</dc:relation> <dc:relation>doi:10.5281/zenodo.7616851</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights> <dc:source>Scientific Data 10(1) 111</dc:source> <dc:subject>Global Dam Tracker (GDAT)</dc:subject> <dc:subject>Dams</dc:subject> <dc:subject>Catchments</dc:subject> <dc:subject>Energy Policy</dc:subject> <dc:title>Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information</dc:title> <dc:type>info:eu-repo/semantics/other</dc:type> <dc:type>dataset</dc:type> </oai_dc:dc>
All versions | This version | |
---|---|---|
Views | 545 | 545 |
Downloads | 250 | 250 |
Data volume | 3.6 GB | 3.6 GB |
Unique views | 476 | 476 |
Unique downloads | 228 | 228 |