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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-6', Anonymous Referee #1, 01 Apr 2022
  • RC2: 'Comment on essd-2022-6', Anonymous Referee #2, 14 Apr 2022
  • AC1: 'Responses to Reviewer 1 and 2', Pia Ebeling, 23 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Pia Ebeling on behalf of the Authors (30 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (15 Jul 2022) by David Carlson
AR by Pia Ebeling on behalf of the Authors (22 Jul 2022)  Manuscript 
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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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