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

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dc.contributor.authorCoulon, Frederic
dc.contributor.authorCipullo, Sabrina
dc.contributor.authorCampo Moreno, Pablo
dc.contributor.authorMouazen, Abdul
dc.contributor.authorNawar, Said
dc.date.accessioned2024-06-04T04:29:52Z
dc.date.available2024-06-04T04:29:52Z
dc.date.issued2018-12-04 12:08
dc.description.abstractRaw data for total and bioavailable concentrations of petroleum hydrocarbons compounds, heavy metals and metalloids in the five soils.Spectra raw data are also provided
dc.description.sponsorshipH2020 Marie Skłodowska-Curie Actions (Grant agreement n. 643087) and Flemish Scientific Research (FWO) for Odysseus I SiTeMan Project (Nr. G0F9216N)
dc.identifier.citationCoulon, 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.7178426
dc.identifier.doi10.17862/cranfield.rd.7178426
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21880
dc.publisherCranfield University
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSpectral Signatures'
dc.subject'petroleum hydrocarbons'
dc.subject'Heavy metals'
dc.subject'risk assessment analysis'
dc.subject'Environmental Science'
dc.subject'Soil Sciences not elsewhere classified'
dc.titlePredicting bioavailability change of complex chemical mixtures in contaminated soils using visible and near-infrared spectroscopy and random forest regression em
dc.typeDataset

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