QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany

Ebeling, Pia; Kumar, Rohini; Lutz, Stefanie R.; Nguyen, Tam; Sarrazin, Fanny; Weber, Michael; Büttner, Olaf; Attinger, Sabine; Musolff, Andreas

doi:https://doi.org/10.5194/essd-14-3715-2022

Articles | Volume 14, issue 8

https://doi.org/10.5194/essd-14-3715-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-3715-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 8

Data description paper

|

17 Aug 2022

Data description paper |

| 17 Aug 2022

QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany

Pia Ebeling, Rohini Kumar, Stefanie R. Lutz, Tam Nguyen, Fanny Sarrazin, Michael Weber, Olaf Büttner, Sabine Attinger, and Andreas Musolff

Data sets

QUADICA - water quality, discharge and catchment attributes for large-sample studies in Germany Pia Ebeling, Rohini Kumar, Michael Weber, and Andreas Musolff https://doi.org/10.4211/hs.0ec5f43e43c349ff818a8d57699c0fe1

CCDB - catchment characteristics data base Germany Pia Ebeling, Rohini Kumar, and Andreas Musolff https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4

WQQDB - water quality and quantity data base Germany: metadata Andreas Musolff https://doi.org/10.4211/hs.a42addcbd59a466a9aa56472dfef8721

Short summary

Environmental data are critical for understanding and managing ecosystems, including the mitigation of water quality degradation. To increase data availability, we present the first large-sample water quality data set (QUADICA) of riverine macronutrient concentrations combined with water quantity, meteorological, and nutrient forcing data as well as catchment attributes. QUADICA covers 1386 German catchments to facilitate large-sample data-driven and modeling water quality assessments.