Predicting bioavailability change of complex chemical mixtures in contaminated soils using visible and near-infrared spectroscopy and random forest regression em

Coulon, FredericCipullo, SabrinaCampo Moreno, PabloMouazen, AbdulNawar, Said2024-06-042024-06-042018-12-04Coulon, Frederic; Cipullo, Sabrina; Campo Moreno, Pablo; Mouazen, Abdul; Nawar, Said (2018). Predicting bioavailability change of complex chemical mixtures in contaminated soils using visible and near-infrared spectroscopy and random forest regression em. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.7178426https://dspace.lib.cranfield.ac.uk/handle/1826/21880Raw data for total and bioavailable concentrations of petroleum hydrocarbons compounds, heavy metals and metalloids in the five soils.Spectra raw data are also providedCC BY 4.0https://creativecommons.org/licenses/by/4.0/Spectral Signatures''petroleum hydrocarbons''Heavy metals''risk assessment analysis''Environmental Science''Soil Sciences not elsewhere classified'Predicting bioavailability change of complex chemical mixtures in contaminated soils using visible and near-infrared spectroscopy and random forest regression emDataset10.17862/cranfield.rd.7178426