Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure

Combined with multivariate calibration methods, near-infrared (NIR) spectroscopy is a non-destructive, rapid, precise and inexpensive analytical method to predict chemical contents of organic products. Nevertheless, one practical limitation of this approach is that performance of the calibration model may decrease when the data are acquired with different spectrometers. To overcome this limitation, standardization methods exist, such as the piecewise direct standardization (PDS) algorithm. The dataset presented in this article consists of 332 manure samples from poultry and cattle, sampled from farms located in major regions of livestock production in mainland France and Reunion Island. The samples were analysed for seven chemical properties following conventional laboratory methods. NIR spectra were acquired with three spectrometers from fresh homogenized and dried ground samples and then standardized using the PDS algorithm. This important dataset can be used to train and test chemometric models and is of particular interest to NIR spectroscopists and agronomists who assess the agronomic value of animal waste.

Saved in:
Bibliographic Details
Main Authors: Goge, Fabien, Thuriès, Laurent, Fouad, Youssef, Damay, Nathalie, Davrieux, Fabrice, Moussard, Géraud Daniel, Le Roux, Caroline, Trupin-Maudemain, Séverine, Valé, Matthieu, Morvan, Thierry
Format: article biblioteca
Language:eng
Subjects:Q70 - Traitement des déchets agricoles, U30 - Méthodes de recherche, spectroscopie infrarouge, fumier, bovin, volaille, déchet agricole, litière pour animaux, mesure (activité), composition chimique, propriété physicochimique, déchet organique, http://aims.fao.org/aos/agrovoc/c_28568, http://aims.fao.org/aos/agrovoc/c_2810, http://aims.fao.org/aos/agrovoc/c_1391, http://aims.fao.org/aos/agrovoc/c_6145, http://aims.fao.org/aos/agrovoc/c_8683, http://aims.fao.org/aos/agrovoc/c_434, http://aims.fao.org/aos/agrovoc/c_4668, http://aims.fao.org/aos/agrovoc/c_1794, http://aims.fao.org/aos/agrovoc/c_1521, http://aims.fao.org/aos/agrovoc/c_35237, http://aims.fao.org/aos/agrovoc/c_3081, http://aims.fao.org/aos/agrovoc/c_6543,
Online Access:http://agritrop.cirad.fr/597278/
http://agritrop.cirad.fr/597278/1/2021%20GOGE%20et%20al%20Dataset%20of%20chemical%20and%20near-infrared%20spectroscopy%20measurements%20of%20fresh%20and%20dried%20poultry%20and%20cattle%20manure.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cirad-fr-597278
record_format koha
spelling dig-cirad-fr-5972782024-01-29T03:13:39Z http://agritrop.cirad.fr/597278/ http://agritrop.cirad.fr/597278/ Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure. Goge Fabien, Thuriès Laurent, Fouad Youssef, Damay Nathalie, Davrieux Fabrice, Moussard Géraud Daniel, Le Roux Caroline, Trupin-Maudemain Séverine, Valé Matthieu, Morvan Thierry. 2021. Data in Brief:106647, 7 p.https://doi.org/10.1016/j.dib.2020.106647 <https://doi.org/10.1016/j.dib.2020.106647> Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure Goge, Fabien Thuriès, Laurent Fouad, Youssef Damay, Nathalie Davrieux, Fabrice Moussard, Géraud Daniel Le Roux, Caroline Trupin-Maudemain, Séverine Valé, Matthieu Morvan, Thierry eng 2021 Data in Brief Q70 - Traitement des déchets agricoles U30 - Méthodes de recherche spectroscopie infrarouge fumier bovin volaille déchet agricole litière pour animaux mesure (activité) composition chimique propriété physicochimique déchet organique http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_2810 http://aims.fao.org/aos/agrovoc/c_1391 http://aims.fao.org/aos/agrovoc/c_6145 http://aims.fao.org/aos/agrovoc/c_8683 http://aims.fao.org/aos/agrovoc/c_434 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_35237 France La Réunion http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_6543 Combined with multivariate calibration methods, near-infrared (NIR) spectroscopy is a non-destructive, rapid, precise and inexpensive analytical method to predict chemical contents of organic products. Nevertheless, one practical limitation of this approach is that performance of the calibration model may decrease when the data are acquired with different spectrometers. To overcome this limitation, standardization methods exist, such as the piecewise direct standardization (PDS) algorithm. The dataset presented in this article consists of 332 manure samples from poultry and cattle, sampled from farms located in major regions of livestock production in mainland France and Reunion Island. The samples were analysed for seven chemical properties following conventional laboratory methods. NIR spectra were acquired with three spectrometers from fresh homogenized and dried ground samples and then standardized using the PDS algorithm. This important dataset can be used to train and test chemometric models and is of particular interest to NIR spectroscopists and agronomists who assess the agronomic value of animal waste. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/597278/1/2021%20GOGE%20et%20al%20Dataset%20of%20chemical%20and%20near-infrared%20spectroscopy%20measurements%20of%20fresh%20and%20dried%20poultry%20and%20cattle%20manure.pdf text cc_by_nc_nd info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ https://doi.org/10.1016/j.dib.2020.106647 10.1016/j.dib.2020.106647 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dib.2020.106647 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.dib.2020.106647 info:eu-repo/semantics/dataset/purl/https://doi.org/10.15454/JIGO8R
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic Q70 - Traitement des déchets agricoles
U30 - Méthodes de recherche
spectroscopie infrarouge
fumier
bovin
volaille
déchet agricole
litière pour animaux
mesure (activité)
composition chimique
propriété physicochimique
déchet organique
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_2810
http://aims.fao.org/aos/agrovoc/c_1391
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_8683
http://aims.fao.org/aos/agrovoc/c_434
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_1521
http://aims.fao.org/aos/agrovoc/c_35237
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_6543
Q70 - Traitement des déchets agricoles
U30 - Méthodes de recherche
spectroscopie infrarouge
fumier
bovin
volaille
déchet agricole
litière pour animaux
mesure (activité)
composition chimique
propriété physicochimique
déchet organique
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_2810
http://aims.fao.org/aos/agrovoc/c_1391
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_8683
http://aims.fao.org/aos/agrovoc/c_434
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_1521
http://aims.fao.org/aos/agrovoc/c_35237
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_6543
spellingShingle Q70 - Traitement des déchets agricoles
U30 - Méthodes de recherche
spectroscopie infrarouge
fumier
bovin
volaille
déchet agricole
litière pour animaux
mesure (activité)
composition chimique
propriété physicochimique
déchet organique
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_2810
http://aims.fao.org/aos/agrovoc/c_1391
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_8683
http://aims.fao.org/aos/agrovoc/c_434
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_1521
http://aims.fao.org/aos/agrovoc/c_35237
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_6543
Q70 - Traitement des déchets agricoles
U30 - Méthodes de recherche
spectroscopie infrarouge
fumier
bovin
volaille
déchet agricole
litière pour animaux
mesure (activité)
composition chimique
propriété physicochimique
déchet organique
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_2810
http://aims.fao.org/aos/agrovoc/c_1391
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_8683
http://aims.fao.org/aos/agrovoc/c_434
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_1521
http://aims.fao.org/aos/agrovoc/c_35237
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_6543
Goge, Fabien
Thuriès, Laurent
Fouad, Youssef
Damay, Nathalie
Davrieux, Fabrice
Moussard, Géraud Daniel
Le Roux, Caroline
Trupin-Maudemain, Séverine
Valé, Matthieu
Morvan, Thierry
Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
description Combined with multivariate calibration methods, near-infrared (NIR) spectroscopy is a non-destructive, rapid, precise and inexpensive analytical method to predict chemical contents of organic products. Nevertheless, one practical limitation of this approach is that performance of the calibration model may decrease when the data are acquired with different spectrometers. To overcome this limitation, standardization methods exist, such as the piecewise direct standardization (PDS) algorithm. The dataset presented in this article consists of 332 manure samples from poultry and cattle, sampled from farms located in major regions of livestock production in mainland France and Reunion Island. The samples were analysed for seven chemical properties following conventional laboratory methods. NIR spectra were acquired with three spectrometers from fresh homogenized and dried ground samples and then standardized using the PDS algorithm. This important dataset can be used to train and test chemometric models and is of particular interest to NIR spectroscopists and agronomists who assess the agronomic value of animal waste.
format article
topic_facet Q70 - Traitement des déchets agricoles
U30 - Méthodes de recherche
spectroscopie infrarouge
fumier
bovin
volaille
déchet agricole
litière pour animaux
mesure (activité)
composition chimique
propriété physicochimique
déchet organique
http://aims.fao.org/aos/agrovoc/c_28568
http://aims.fao.org/aos/agrovoc/c_2810
http://aims.fao.org/aos/agrovoc/c_1391
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_8683
http://aims.fao.org/aos/agrovoc/c_434
http://aims.fao.org/aos/agrovoc/c_4668
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_1521
http://aims.fao.org/aos/agrovoc/c_35237
http://aims.fao.org/aos/agrovoc/c_3081
http://aims.fao.org/aos/agrovoc/c_6543
author Goge, Fabien
Thuriès, Laurent
Fouad, Youssef
Damay, Nathalie
Davrieux, Fabrice
Moussard, Géraud Daniel
Le Roux, Caroline
Trupin-Maudemain, Séverine
Valé, Matthieu
Morvan, Thierry
author_facet Goge, Fabien
Thuriès, Laurent
Fouad, Youssef
Damay, Nathalie
Davrieux, Fabrice
Moussard, Géraud Daniel
Le Roux, Caroline
Trupin-Maudemain, Séverine
Valé, Matthieu
Morvan, Thierry
author_sort Goge, Fabien
title Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
title_short Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
title_full Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
title_fullStr Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
title_full_unstemmed Dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
title_sort dataset of chemical and near-infrared spectroscopy measurements of fresh and dried poultry and cattle manure
url http://agritrop.cirad.fr/597278/
http://agritrop.cirad.fr/597278/1/2021%20GOGE%20et%20al%20Dataset%20of%20chemical%20and%20near-infrared%20spectroscopy%20measurements%20of%20fresh%20and%20dried%20poultry%20and%20cattle%20manure.pdf
work_keys_str_mv AT gogefabien datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT thurieslaurent datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT fouadyoussef datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT damaynathalie datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT davrieuxfabrice datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT moussardgerauddaniel datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT lerouxcaroline datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT trupinmaudemainseverine datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT valematthieu datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
AT morvanthierry datasetofchemicalandnearinfraredspectroscopymeasurementsoffreshanddriedpoultryandcattlemanure
_version_ 1792500075860066304