A Machine Learning Approach for Risk Assessment of Fluoride Contamination in Groundwater
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This dataset contains anonymized hydrochemical and fluoride concentration data (n = 87) collected from groundwater sources . The dataset includes physicochemical parameters used for hydrogeochemical analysis and machine learning modelling. Geographic coordinates have been removed to ensure location privacy. The dataset supports the results presented in the associated manuscript.
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Zenodo创建时间：
2026-02-15
