2026-10-15T21:04:37Z https://data.mendeley.com/oai

oai:data.mendeley.com/fwvmztpjsp.1 2023-10-09T20:29:11Z

王, 王建乐 Data for: Deciphering Heavy Metals Adsorption on Soil by Physicochemical Property Diversity Using Machine Learning Method Mendeley Data 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. Database Dataset doi:10.17632/fwvmztpjsp.1 oai:data.mendeley.com/fwvmztpjsp.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/fwvmztpjsp 2023-10-09T20:29:11Z