Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-213-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-213-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dataset of Georeferenced Dams in South America (DDSA)
Bolivar Paredes-Beltran
CORRESPONDING AUTHOR
Department of Civil Engineering: Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, Madrid, 28040, Spain
Carrera de Ingeniería Civil, Facultad de Ingeniería Civil
y Mecánica, Universidad Técnica de Ambato, Ambato, 180206, Ecuador
Alvaro Sordo-Ward
Department of Civil Engineering: Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, Madrid, 28040, Spain
Luis Garrote
Department of Civil Engineering: Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, Madrid, 28040, Spain
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Cited
16 citations as recorded by crossref.
- Global dataset of sand dam features and geographical distribution across drylands L. Piemontese et al. https://doi.org/10.1038/s41597-025-06197-w
- Alteration of River Flow and Flood Dynamics by Existing and Planned Hydropower Dams in the Amazon River Basin S. Chaudhari & Y. Pokhrel https://doi.org/10.1029/2021WR030555
- El Niño–Southern Oscillation (ENSO)-driven hypersedimentation in the Poechos Reservoir, northern Peru A. Foucher et al. https://doi.org/10.5194/hess-27-3191-2023
- Assessing water storage variations in La Plata basin and sub-basins from GRACE, global models data and connection with ENSO events A. Pereira et al. https://doi.org/10.1080/02626667.2024.2349277
- Representing a dense network of ponds and reservoirs in a semi-distributed dryland catchment model U. Rabelo et al. https://doi.org/10.1016/j.jhydrol.2021.127103
- Artificial and Natural Water Bodies Change in China, 2000–2020 Y. Wang et al. https://doi.org/10.3390/w14111756
- Impact of Dense Networks of Reservoirs on Streamflows at Dryland Catchments U. Rabelo et al. https://doi.org/10.3390/su142114117
- Deep Learning and Hydrological Feature Constraint Strategies for Dam Detection: Global Application to Sentinel-2 Remote Sensing Imagery H. Gu et al. https://doi.org/10.3390/rs17071194
- A harmonized dataset for dams and reservoirs in West Africa V. Kouassi et al. https://doi.org/10.5194/essd-18-7227-2026
- A Continental Assessment of Reservoir Storage and Water Availability in South America B. Paredes-Beltran et al. https://doi.org/10.3390/w13141992
- Phantom refugia for fruit-eating migratory fishes in dammed Neotropical rivers E. do Couto et al. https://doi.org/10.20935/AcadBiol8362
- Global patterns of reservoir normal water storage capacities estimated by statistical and machine learning models P. Liu et al. https://doi.org/10.1016/j.jhydrol.2026.136648
- Features of Italian large dams and their upstream catchments G. Evangelista et al. https://doi.org/10.5194/essd-17-1407-2025
- GeoDAR: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations J. Wang et al. https://doi.org/10.5194/essd-14-1869-2022
- Improved maps of surface water bodies, large dams, reservoirs, and lakes in China X. Wang et al. https://doi.org/10.5194/essd-14-3757-2022
- The freshwaters bivalves of La Plata Basin in the Anthropocene C. Clavijo et al. https://doi.org/10.1007/s10750-024-05679-z
16 citations as recorded by crossref.
- Global dataset of sand dam features and geographical distribution across drylands L. Piemontese et al. https://doi.org/10.1038/s41597-025-06197-w
- Alteration of River Flow and Flood Dynamics by Existing and Planned Hydropower Dams in the Amazon River Basin S. Chaudhari & Y. Pokhrel https://doi.org/10.1029/2021WR030555
- El Niño–Southern Oscillation (ENSO)-driven hypersedimentation in the Poechos Reservoir, northern Peru A. Foucher et al. https://doi.org/10.5194/hess-27-3191-2023
- Assessing water storage variations in La Plata basin and sub-basins from GRACE, global models data and connection with ENSO events A. Pereira et al. https://doi.org/10.1080/02626667.2024.2349277
- Representing a dense network of ponds and reservoirs in a semi-distributed dryland catchment model U. Rabelo et al. https://doi.org/10.1016/j.jhydrol.2021.127103
- Artificial and Natural Water Bodies Change in China, 2000–2020 Y. Wang et al. https://doi.org/10.3390/w14111756
- Impact of Dense Networks of Reservoirs on Streamflows at Dryland Catchments U. Rabelo et al. https://doi.org/10.3390/su142114117
- Deep Learning and Hydrological Feature Constraint Strategies for Dam Detection: Global Application to Sentinel-2 Remote Sensing Imagery H. Gu et al. https://doi.org/10.3390/rs17071194
- A harmonized dataset for dams and reservoirs in West Africa V. Kouassi et al. https://doi.org/10.5194/essd-18-7227-2026
- A Continental Assessment of Reservoir Storage and Water Availability in South America B. Paredes-Beltran et al. https://doi.org/10.3390/w13141992
- Phantom refugia for fruit-eating migratory fishes in dammed Neotropical rivers E. do Couto et al. https://doi.org/10.20935/AcadBiol8362
- Global patterns of reservoir normal water storage capacities estimated by statistical and machine learning models P. Liu et al. https://doi.org/10.1016/j.jhydrol.2026.136648
- Features of Italian large dams and their upstream catchments G. Evangelista et al. https://doi.org/10.5194/essd-17-1407-2025
- GeoDAR: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations J. Wang et al. https://doi.org/10.5194/essd-14-1869-2022
- Improved maps of surface water bodies, large dams, reservoirs, and lakes in China X. Wang et al. https://doi.org/10.5194/essd-14-3757-2022
- The freshwaters bivalves of La Plata Basin in the Anthropocene C. Clavijo et al. https://doi.org/10.1007/s10750-024-05679-z
Saved (final revised paper)
Latest update: 25 Oct 2026
Short summary
We present a dataset of 1010 entries of dams in South America describing several attributes such as the dams' names, characteristics, purposes, georeferenced locations and also relevant data on the dams' catchments. Information was obtained from extensive research through numerous sources and then validated individually.
With this work we expect to contribute to the development of new research in the region, which to date has been limited to certain basins due to the absence of information.
We present a dataset of 1010 entries of dams in South America describing several attributes such...
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