Research data from: "Machine learning prediction of arsenic natural background level heterogeneity in meso-scale shallow groundwater, integrating in-situ hydrochemistry and spatial proxies"

Local Natural Background Levels (NBLs) of arsenic are estimated in the shallow groundwater of the Ferrara province (eastern Po Plain, Italy), based on an aggregated dataset from multiple monitoring networks of sites under remediation.