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), 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, 23–27. https://doi.org/10.1016/J.PROEPS.2014.08.005</p> <p>European Environment Agency: Waterbase – 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