Dataset Open Access
Zhang, Alice Tianbo;
Gu, Vincent Xinyi
{ "description": "<p><strong>Citation</strong></p>\n\n<p>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.” <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> </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" }
All versions | This version | |
---|---|---|
Views | 533 | 533 |
Downloads | 238 | 238 |
Data volume | 3.4 GB | 3.4 GB |
Unique views | 464 | 464 |
Unique downloads | 218 | 218 |