Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

QUADICA v2 - water quality, discharge and catchment attributes for large-sample studies in Germany


An older version of this resource http://www.hydroshare.org/resource/0ec5f43e43c349ff818a8d57699c0fe1 is available.
Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) to determine if accessing this resource is possible.
Type: Resource
Storage: The size of this resource is 723.5 MB
Created: Jun 19, 2025 at 7:06 a.m. (UTC)
Last updated: Aug 11, 2025 at 12:45 p.m. (UTC)
Citation: See how to cite this resource
Content types: Geographic Feature Content  Geographic Raster Content  CSV Content 
Sharing Status: Private (Accessible via direct link sharing)
Views: 165
Downloads: 0
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

This data set provides data of water quality, discharge, driving forces (meteorology and nutrients), and catchment attributes for a set of 1386 German catchments covering a wide range of natural and anthropogenic conditions. The data set is decribed in detail in the data paper "QUADICA v2.0: Extending the large-sample data set for water QUAlity, DIscharge and Catchment Attributes in Germany" submitted to ESSD, and partly by the previous version 1 (Ebeling, et al. 2022). The metadata of the underlying water quality and quantity data base is available at "WQQDB - water quality and quantity data base Germany" (https://doi.org/10.4211/hs.a42addcbd59a466a9aa56472dfef8721)

Data acknowledgement/citation: We urge the users to also cite relevant data sources of individual components included in QUADICA, when using them. For example, Batool et al. 2022 for the N surplus time series.

This repository includes:

Data files:
1.) Water quality time series as annual medians (c_annual.csv)
2.) Water quantity time series as annual medians of observed discharge time series (q_annual.csv)
3.) Monthly medians and percentiles over the whole time series of water quality variables and discharge (c_q_avg_months.csv)
4.) Monthly and annual time series of median concentrations, flow-normalized concentrations, discharge-weighted concentrations, and mean fluxes estimated using Weighted Regressions on Time, Discharge, and Season (WRTDS) for stations with high data availability (for details see the corresponding paper Ebeling et al.; wrtds_monthly.csv, wrtds_annual.csv).
5.) Meteorological time series as monthly median average temperatures and sums of precipitation and potential evapotranspiration (folder: climate)
6.) Diffuse nutrient surplus and point source input times series for Nitrogen and Phosphorus (folder: input_N_P)
7.) Summary statistics for the stations including number of samples, covered time periods, degree of censoring (concentrations below the detection limit), outliers, availability of discharge data, and availability and performance of WRTDS models (metadata.csv).
8.) Metadata for matching of QUADICA water quality stations with CAMELS-DE and Caravan-DE water quantity stations (metadata_q.csv).
9.) GIS: delineated catchments (catchments.shp), stationsmoved to the flow accumulation grid (stations_mod.shp), stations with original locations (stations.shp), and files used for topographic catchment delineation. For details refer to the data paper of QUADICA version 1.

Documentation files:
10.) Documentation with description of all data tables (Metadata_QUADICA_v2.pdf) and catchment attributes (Metadata_QUADICA_v2_CCDB.pdf).

Licenses: The data use licenses of the original data sets apply.

Note that the provided data were created with greatest care, but we cannot guarantee correctness of the data.

Reference to the data paper of QUADICA version 1:
Ebeling, P., Kumar, R., Lutz, S. R., Nguyen, T., Sarrazin, F., Weber, M., Büttner, O., Attinger, S., and Musolff, A.: QUADICA: water QUAlity, DIscharge and Catchment Attributes for largesample studies in Germany, Earth Syst. Sci. Data, 14, 3715–3741, https://doi.org/10.5194/essd-14-3715-2022, 2022.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
54.7334°
East Longitude
16.1194°
South Latitude
46.1610°
West Longitude
4.8195°

Temporal

Start Date:
End Date:

Content

readme.txt

To use the Shiny App to visualize the QUADICA data:

 1. Download the full QUADICA repository and keep the folder structure
 2. Make sure you have R and/or RStudio installed.
 2. Open 'visualization_quadica.Rproj' or 'app.R'
 3. Run the 'app.R'
 4. Explore QUADICA data set :)

Note: 
If you keep the QUADICA app and data folder at the same level (as it is in the repository), the app should run. 
If not, make sure to check and adapt the working directory in line 24 in the file (/visualization_quadica/R/global.R).

Related Resources

The content of this resource references https://doi.org/10.4211/hs.a42addcbd59a466a9aa56472dfef8721
This resource is described by https://essd.copernicus.org/preprints/essd-2022-6/
The content of this resource references https://doi.org/10.4211/hs.88254bd930d1466c85992a7dea6947a4
This resource updates and replaces a previous version Ebeling, P., R. Kumar, M. Weber, A. Musolff (2022). QUADICA - water quality, discharge and catchment attributes for large-sample studies in Germany, HydroShare, http://www.hydroshare.org/resource/0ec5f43e43c349ff818a8d57699c0fe1

How to Cite

Ebeling, P., R. Kumar, A. Musolff, T. Nguyen, A. Hubig, S. Haug, U. Scharfenberger, M. Batool, A. Wachholz, F. Sarrazin (2025). QUADICA v2 - water quality, discharge and catchment attributes for large-sample studies in Germany, HydroShare, http://www.hydroshare.org/resource/c2866cd416b94ca386deb5758834311f

This resource is shared under the Creative Commons Attribution-NoCommercial-ShareAlike CC BY-NC-SA.

http://creativecommons.org/licenses/by-nc-sa/4.0/
CC-BY-NC-SA

Comments

There are currently no comments

New Comment

required