Dataset for: Machine Learning-Based Spatial Prediction of Fluoride Contamination in Mastung District, Pakistan

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Nabeel Afzal Butt
DOI: 10.5281/zenodo.18648953
Cited by: 0

Abstract

This dataset contains anonymized hydrochemical and fluoride concentration data (n = 87) collected from groundwater sources in Mastung District, Balochistan, Pakistan. The dataset includes physicochemical parameters used for hydrogeochemical analysis and machine learning modelling,

Fields of Study & Subjects

Fluoride Effects and Removal Water Quality and Pollution Assessment Groundwater and Isotope Geochemistry

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN
Document type
Dataset