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CCDB - catchment characteristics data base Germany


A newer version of this resource https://doi.org/10.4211/hs.82f8094dd61e449a826afdef820a2c19 is available that replaces this version.
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Type: 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. (Metadata update)
Published date: Mar 16, 2021 at 4:08 p.m.
DOI: 10.4211/hs.0fc1b5b1be4a475aacfd9545e72e6839
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

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.

Note:
- 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.

Reference:
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.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
55.0618°
East Longitude
16.5984°
South Latitude
46.3269°
West Longitude
4.3156°

Content

Related Resources

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

Credits

Contributors

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.

Name Organization Address Phone Author Identifiers
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

How to Cite

Ebeling, P. (2021). CCDB - catchment characteristics data base Germany, HydroShare, https://doi.org/10.4211/hs.0fc1b5b1be4a475aacfd9545e72e6839

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

Pia Ebeling 3 years, 4 months ago

Note that the unit of point source data "N_WW" is in [100kg N ha-1 y-1] and "P_WW" in [100kg P ha-1 y-1].

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