The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution
Open accessAbstract
The HydroATLAS database provides a standardized compendium of descriptive hydro-environmental information for all watersheds and rivers of the world at high spatial resolution. Version 1.0 of HydroATLAS offers data for 56 variables, partitioned into 281 individual attributes and organized in six categories: hydrology; physiography; climate; land cover & use; soils & geology; and anthropogenic influences. HydroATLAS derives the hydro-environmental characteristics by aggregating and reformatting original data from well-established global digital maps, and by accumulating them along the drainage network from headwaters to ocean outlets. The attributes are linked to hierarchically nested sub-basins at multiple scales, as well as to individual river reaches, both extracted from the global HydroSHEDS database at 15 arc-second (~500 m) resolution. The sub-basin and river reach information is offered in two companion datasets: BasinATLAS and RiverATLAS. The standardized format of HydroATLAS ensures easy applicability while the inherent topological information supports basic network functionality such as identifying up- and downstream connections. HydroATLAS is fully compatible with other products of the overarching HydroSHEDS project enabling versatile hydro-ecological assessments for a broad user community.
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Cites
Global threats to human water security and river biodiversity
Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., Glidden, S., Bunn, S. E., Sullivan, C. A., Liermann, C. R., et al. (2010) · Nature · doi:10.1038/nature09440 · Cited by 7,582
Mapping the world’s free-flowing rivers
Grill, G., Lehner, B., Thieme, M., Geenen, B., Tickner, D., Antonelli, F., Babu, S., Borrelli, P., Cheng, L., Crochetiere, H., et al. (2019) · Nature · doi:10.1038/s41586-019-1111-9 · Cited by 2,473
Self-citationNew Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
Self-citationEstimating historical changes in global land cover: Croplands from 1700 to 1992
Ramankutty, N., & Foley, J. A. (1999) · Global Biogeochemical Cycles · doi:10.1029/1999gb900046 · Cited by 2,074
Abell, R., Thieme, M. L., Revenga, C., Bryer, M., Kottelat, M., Bogutskaya, N., Coad, B., Mandrak, N., Balderas, S. C., Bussing, W., et al. (2008) · BioScience · doi:10.1641/b580507 · Cited by 2,045
Self-citationFarming the planet: 1. Geographic distribution of global agricultural lands in the year 2000
Ramankutty, N., Evan, A. T., Monfreda, C., & Foley, J. A. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb002952 · Cited by 1,942
SoilGrids1km — Global Soil Information Based on Automated Mapping
Hengl, T., de Jesus, J. M., MacMillan, R. A., Batjes, N. H., Heuvelink, G. B. M., Ribeiro, E., Samuel-Rosa, A., Kempen, B., Leenaars, J. G. B., Walsh, M. G., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105992 · Cited by 1,268
A global data set of the extent of irrigated land from 1900 to 2005
Siebert, S., Kummu, M., Porkka, M., Döll, P., Ramankutty, N., & Scanlon, B. R. (2015) · Hydrology and Earth System Sciences · doi:10.5194/hess-19-1521-2015 · Cited by 519
Hermoso, V., Kennard, M. J., & Linke, S. (2012) · Diversity and Distributions · doi:10.1111/j.1472-4642.2011.00879.x · Cited by 136
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Cited by
van Rees, C. B., Waylen, K. A., Schmidt‐Kloiber, A., Thackeray, S. J., Kalinkat, G., Martens, K., Domisch, S., Lillebø, A. I., Hermoso, V., Grossart, H., et al. (2021) · Conservation Letters · doi:10.1111/conl.12771 · Cited by 192
Threshold responses of riverine fish communities to land use conversion across regions of the world
Chen, K., & Olden, J. D. (2020) · Global Change Biology · doi:10.1111/gcb.15251 · Cited by 106
Sun, J., Baldan, D., Lucas, M. C., Wang, J., Rodeles, A. A., Galib, S. M., Tao, J., Li, M., He, D., & Ding, C. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02467-y · Cited by 23
“…patterns of fi sh distribution, the cumulative fi sh species richness of each category was calculated at sub-basin level (HydroBASIN level 8 85,86 ) and compared across seven ecological regions 30,33 (i.e., Himalaya, Upper Mekong, Middle Mekong, Chi-Mun, 3S, Tonle Sap and Delta; see…”
García-Márquez, J. R., Grigoropoulou, A., Tomiczek, T., Schürz, M., Bremerich, V., Torres-Cambas, Y., Buurman, M., Bego, K., Amatulli, G., & Domisch, S. (2026) · Earth System Science Data · doi:10.5194/essd-18-1541-2026 · Cited by 6
Metadata
- Authors
- Linke, S., Lehner, B., Ouellet Dallaire, C., Ariwi, J., Grill, G., Anand, M., Beames, P., Burchard-Levine, V., Maxwell, S., Moidu, H., Tan, F., & Thieme, M.
- Venue
- Scientific Data
- Published
- 2019-12-09
- Volume
- 6
- Issue
- 1
- Pages
- 283-283
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W2993872008
- Cited by
- 673
- References
- 9
- Type
- data paper
- Language
- en
- Open access
- gold
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