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Water quality data and processing scripts

<ul> <li>Python scripts used to process eight water quality databases.</li> <li>Output files for Glorich (Global), Waterbase (EU),&nbsp;WQP (USA) and DWS (South Africa).</li> </ul> <p>References</p> <p>Graham, D.J., Bierkens, M.F.P., van Vliet, M.T.H., 2024. Impacts of droughts and heatwaves on river water quality worldwide. Journal of Hydrology 629, 130590, https://doi.org/10.1016/j.jhydrol.2023.130590</p> <p>Hartmann, J., Lauerwald, R., Moosdorf, N., 2014. A Brief Overview of the GLObal RIver Chemistry Database. GLORICH. Procedia Earth Planet. Sci. 10, 23&ndash;27. https://doi.org/10.1016/J.PROEPS.2014.08.005</p> <p>European Environment Agency: Waterbase &ndash; Water Quality ICM, available at: https://www.eea.europa.eu/data-and-maps/data/waterbase-water-quality-icm-2, Accessed 01/01/2022</p> <p>Water Quality Portal. Washington (DC): National Water Quality Monitoring Council, United States Geological Survey (USGS), Environmental Protection Agency (EPA); 2021. doi: 10.5066/P9QRKUVJ</p> <p>Department of Water and Sanitation, South Africa. Research Quality Information Services, available at: https://www.dws.gov.za/iwqs/report.aspx, Accessed 01/01/2022</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
April 30, 2023
License
cc-by-4.0
DOI
10.5281/zenodo.7558905

Scored with release 0.9.0

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