Predicting bioavailability change of complex chemical mixtures in contaminated soils using visible and near-infrared spectroscopy and random forest regression em
Date
2018-12-04 12:08
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
Type
Dataset
ISSN
Format
Free to read from
Citation
Coulon, 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
Abstract
Raw data for total and bioavailable concentrations of petroleum hydrocarbons compounds, heavy metals and metalloids in the five soils.Spectra raw data are also provided
Description
Software Description
Software Language
Github
Keywords
Spectral Signatures', 'petroleum hydrocarbons', 'Heavy metals', 'risk assessment analysis', 'Environmental Science', 'Soil Sciences not elsewhere classified'
DOI
10.17862/cranfield.rd.7178426
Rights
CC BY 4.0
Relationships
Relationships
Supplements
Funder/s
H2020 Marie Skłodowska-Curie Actions (Grant agreement n. 643087) and Flemish Scientific Research (FWO) for Odysseus I SiTeMan Project (Nr. G0F9216N)