Abstract

Here we introduce the LakeATLAS dataset, which provides a broad range of hydro-environmental characteristics for more than 1.4 million lakes and reservoirs globally with an area of at least 10 ha. LakeATLAS forms part of the larger HydroATLAS data repository and expands the existing datasets of sub-basin and river reach descriptors by adding equivalent information for lakes and reservoirs in a compatible structure. Matching its HydroATLAS counterparts, version 1.0 of LakeATLAS contains 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. LakeATLAS derives these attributes by processing and reformatting original data from well-established global digital maps at 15 arc-second (~500 m) grid cell resolution and assigns the information spatially to each lake by aggregating it within the lake, in a 3-km vicinity buffer around the lake, and/or within the entire upstream drainage area of the lake. The standardized format of LakeATLAS ensures versatile applicability in hydro-ecological assessments from regional to global scales.

Measurement(s)

hydro-environmental characteristics • lake • water body • hydrographic feature

Technology Type(s)

digital curation

Sample Characteristic - Environment

freshwater environment • aquatic environment

Sample Characteristic - Location

Earth (planet)

Details

Title
Global hydro-environmental lake characteristics at high spatial resolution
Author
Lehner, Bernhard 1   VIAFID ORCID Logo  ; Messager, Mathis L. 2   VIAFID ORCID Logo  ; Korver, Maartje C. 1   VIAFID ORCID Logo  ; Linke, Simon 3   VIAFID ORCID Logo 

1  McGill University, Department of Geography, Montreal, Canada (GRID:grid.14709.3b) (ISNI:0000 0004 1936 8649) 
2  McGill University, Department of Geography, Montreal, Canada (GRID:grid.14709.3b) (ISNI:0000 0004 1936 8649); RiverLY Research Unit, National Research Institute for Agriculture, Food and Environment (INRAE), Villeurbanne, France (GRID:grid.14709.3b) 
3  Griffith University, Australian Rivers Institute, Brisbane, Australia (GRID:grid.1022.1) (ISNI:0000 0004 0437 5432); CSIRO Land and Water, Brisbane, Australia (GRID:grid.469914.7) (ISNI:0000 0004 0385 5215) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-022-01425-z
ProQuest document ID
2679962007
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.