Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (firstname.lastname@example.org) for information on this resource.|
|Storage:||The size of this resource is 5.5 MB|
|Created:||Jun 08, 2020 at 4:09 p.m.|
|Last updated:|| Dec 02, 2021 at 5:39 p.m.
|Citation:||See how to cite this resource|
|+1 Votes:||Be the first one to this.|
This repository provides geoinformation data, natural and anthropogenic characteristics of 1386 catchments across Germany.
The characteristics include information on topography, land cover, lithology, soils, climate, hydrology, population density and nutrient sources and heterogeneity.
The calculated catchment characteristics base on various publicly available and published resources referenced in the metadata of this repository.
The data from this repository were created for the study Ebeling et al. (2021).
This repository includes:
1.) Data table with catchment characteristics
2.) Metadata with the description of each catchment characteristic and references to original publications and data resources.
3.) Shapefile with delineated catchment polygons
4.) Shapefile with stations.
- water quality metrics are provided in another, linked repository (https://doi.org/10.4211/hs.9b4deeca259b4f7398ce72121b4e2979). Both repositories use the same unique identifier OBJECTID for each water quality station.
- the stations do not always fall within the delineated catchments as the catchment outlets were adapted according the stream network and the topographic flow accumulation.
Ebeling, P., Kumar, R., Weber, M., Knoll, L., Fleckenstein, J. H., & Musolff, A. (2021). Archetypes and Controls of Riverine Nutrient Export Across German Catchments. Water Resources Research, 57, e2020WR028134. https://doi.org/10.1029/2020WR028134
Conditions: Please, reference both the original data publisher and this repository for correct acknowledgements, when using the provided data.
|This resource is referenced by||https://doi.org/10.1029/2020WR028134|
|The content of this resource references||https://doi.org/10.4211/hs.712c1df62aca4ef29688242eeab7940c|
|The content of this resource references||https://doi.org/10.4211/hs.a42addcbd59a466a9aa56472dfef8721|
|The content of this resource references||http://www.ufz.de/record/dmp/archive/7754|
|The content of this resource references||https://doi.org/10.4211/hs.9b4deeca259b4f7398ce72121b4e2979|
|This resource has been replaced by a newer version||Ebeling, P., R. Kumar, A. Musolff (2022). CCDB - catchment characteristics data base Germany, HydroShare, https://doi.org/10.4211/hs.82f8094dd61e449a826afdef820a2c19|
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
|Andreas Musolff||UFZ - Helmholtz-Centre for Environmental Research GmbH|
|Joni Dehaspe||UFZ - Helmholtz-Centre for Environmental Research GmbH|
|Teresa Nitz||UFZ - Helmholtz-Centre for Environmental Research GmbH|
|Rohini Kumar||UFZ - Helmholtz-Centre for Environmental Research GmbH|
|Thomas Grau||UFZ - Helmholtz-Centre for Environmental Research GmbH|
|Lukas Knoll||Justus Liebig University Giessen|
|Michael Weber||UFZ - Helmholtz-Centre for Environmental Research GmbH|