1/1

5 files

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

dataset

posted on 2018-12-04, 12:08 authored by Frederic CoulonFrederic Coulon, Sabrina Cipullo, Pablo Campo MorenoPablo Campo Moreno, Abdul MouazenAbdul Mouazen, Said NawarSaid Nawar

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

Funding

H2020 Marie Skłodowska-Curie Actions (Grant agreement n. 643087) and Flemish Scientific Research (FWO) for Odysseus I SiTeMan Project (Nr. G0F9216N)

History

Authoriser (e.g. PI/supervisor)

f.coulon@cranfield.ac.uk

Usage metrics

Water

Categories

Keywords

Spectral Signatures petroleum hydrocarbons Heavy metals risk assessment analysis Environmental Science Soil Sciences not elsewhere classified

Licence

Exports