ArticleScientific data2025
Global dataset combining open-source hydropower plant and reservoir data.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Balancing energy, water, and ecology through renewable energy transitions in the Yellow River Basin.Nature communications · 2026Article
- Trade-Offs and Synergies Among Ecosystem Services Influenced by Forest Type and Their Implications for Spatial Management in the Upper Minjiang River Basin, China.Plants (Basel, Switzerland) · 2026Article
- Spatiotemporal variations in dissolved organic carbon in China's major river basins and their associations with climate change and human activities.Carbon balance and management · 2025Article
- Global dataset of sand dam features and geographical distribution across drylands.Scientific data · 2025Article
- Forty-year hydropower generation reanalysis for Conterminous United States.Scientific data · 2025Article
- Global dataset combining open-source hydropower plant and reservoir data.Scientific data · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hydropower is a crucial renewable source that depends heavily on water availability. Analyzing drought and climate change impacts on hydropower potential requires detailed data on both hydropower plant attributes (e.g. plant type and head) and reservoir characteristics (e.g. area, depth and volume). However, existing open-source datasets are poorly integrated: hydropower plant datasets often lack reservoir information, while reservoir datasets commonly miss hydropower plant information. This paper addresses this gap by introducing GloHydroRes, a global dataset that combines existing open-source hydropower plant and reservoir datasets. GloHydroRes includes attributes like plant location, head, plant type as well as reservoir details such as dam and reservoir location, dam height, reservoir depth, area, and volume for 7,775 plants in 128 countries. GloHydroRes covers nearly 79% and 81% of the global installed capacity when compared with installed hydropower data as reported by the EIA(2022) and IRENA (2023), respectively. The open-source GloHydroRes dataset provides crucial data to improve hydropower generation modelling at plant level and can support energy security and planning at continent to global scale.
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Registered trials
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