dataset · Global
Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information
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 detai
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- cc-by-4.0
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- Unknown — review source docs
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- Last successful page check
- 16/10/2026
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Listed in zenodo public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata observed 14/10/2026 · research sweep: sweep-2026-10-16 (zenodo)