Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3715-2022
https://doi.org/10.5194/essd-14-3715-2022
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

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Latest update: 29 Jun 2024
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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.
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