Articles | Volume 14, issue 8
Earth Syst. Sci. Data, 14, 3715–3741, 2022
https://doi.org/10.5194/essd-14-3715-2022
Earth Syst. Sci. Data, 14, 3715–3741, 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 et al.

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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
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
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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.