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GOODD, a global dataset of more than 38,000 georeferenced dams
By presenting the most comprehensive GlObal geOreferenced Database of Dams to date containing more than 38,000 dams as well as their associated catchments, we enable new and improved global analyses of the impact of dams on society and environment and the impact of environmental change (for example...
Autores principales: | Mulligan, Mark, van Soesbergen, Arnout, Sáenz, Leonardo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972789/ https://www.ncbi.nlm.nih.gov/pubmed/31964896 http://dx.doi.org/10.1038/s41597-020-0362-5 |
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