Disentangling coastal groundwater level dynamics in a global dataset - data
Disentangling coastal groundwater level dynamics in a global dataset - data
Data to reproduce the research study "Disentangling coastal groundwater level dynamics in a global dataset" by Nolte et al. containing: cluster_indices.csv: well identifier; cluster from k-means; country code (ISO 3166-1 alpha-2); 45 index values cluster_attributes.csv: well identifier; cluster from k-means; country code (ISO 3166-1 alpha-2); 28 attribute values These data enable cluster analysis and random forest modeling. However, please note that the repository does not include raw groundwater level time series data. The code to reproduce the cluster analysis and random forest modeling as conducted in the study can be made available upon request from the first author.
time series features, groundwater level dynamics, physiographic controls, global, clustering
time series features, groundwater level dynamics, physiographic controls, global, clustering
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