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4 packages found
Keywords:
random forest
Variables:
concentration
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Contaminant Hydrology
Data for: Global threat of arsenic in groundwater
Code, data and maps associated with the article Podgorski, J., and M. Berg (2020), Global threat of arsenic in groundwater, Science, 368(6493), 845–850,...
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Contaminant Hydrology
Data for: Global analysis and prediction of fluoride in groundwater
Code and maps associated with the article Podgorski, J., and M. Berg (2022), Global analysis and prediction of fluoride in groundwater, Nature Communications,...
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Urban Water Management
Data for: Source-specific dynamics of organic micropollutants in combined sewer overflows
Combined sewer overflows (CSOs) discharge organic micropollutants (MPs) into open water bodies, posing potential environmental threats. Knowledge of the numbers, sources, and...
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Contaminant Hydrology
Data for: Groundwater vulnerability to pollution in Africa’s Sahel region
Protection of groundwater resources is essential to ensure quality and sustainable use. However, predicting vulnerability to anthropogenic pollution can be difficult where data...
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