Data for: Deciphering Heavy Metals Adsorption on Soil by Physicochemical Property Diversity Using Machine Learning Method
Published: 9 October 2023| Version 1 | DOI: 10.17632/fwvmztpjsp.1
Contributor:
王建乐 王Description
22 types soil samples collected from different regions of China, and we developed 12 machine learning (ML) models to predict the adsorption of HMs by soils, utilising 2112 experimental data points collected from these samples.
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South China University of Technology
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