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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data_bio_inorganics.csv (7.98 KB)
data_bio_organics.csv (7.03 KB)
data_total_inorganics.csv (8.93 KB)
data_total_organics.csv (7.37 KB)
soil_spectra.csv (1.93 MB)

Date published

2018-12-04 12:08

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Authors

Coulon, Frederic
Cipullo, Sabrina
Campo Moreno, Pablo
Mouazen, Abdul
Nawar, Said

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Dataset

ISSN

Format

URI

https://dspace.lib.cranfield.ac.uk/handle/1826/21880

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
https://creativecommons.org/licenses/by/4.0/

Relationships

Relationships

Resources

Funder/s

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

Collections

Water