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On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste

The near infrared spectra of thirty-three freeze-dried and ground organic waste samples of various biochemical composition were collected on four different optical systems, including a laboratory spectrometer, a transportable spectrometer with two measurement configurations (an immersed probe, and a...

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Autores principales: Pérémé, Margaud, Mallet, Alexandre, Awhangbo, Lorraine, Charnier, Cyrille, Roger, Jean-michel, Steyer, Jean-philippe, Latrille, Éric, Bendoula, Ryad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166774/
https://www.ncbi.nlm.nih.gov/pubmed/34095376
http://dx.doi.org/10.1016/j.dib.2021.107126
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author Pérémé, Margaud
Mallet, Alexandre
Awhangbo, Lorraine
Charnier, Cyrille
Roger, Jean-michel
Steyer, Jean-philippe
Latrille, Éric
Bendoula, Ryad
author_facet Pérémé, Margaud
Mallet, Alexandre
Awhangbo, Lorraine
Charnier, Cyrille
Roger, Jean-michel
Steyer, Jean-philippe
Latrille, Éric
Bendoula, Ryad
author_sort Pérémé, Margaud
collection PubMed
description The near infrared spectra of thirty-three freeze-dried and ground organic waste samples of various biochemical composition were collected on four different optical systems, including a laboratory spectrometer, a transportable spectrometer with two measurement configurations (an immersed probe, and a polarized light system) and a micro-spectrometer. The provided data contains one file per spectroscopic system including the reflectance or absorbance spectra with the corresponding sample name and wavelengths. A reference data file containing carbohydrates, lipid and nitrogen content, biochemical methane potential (BMP) and chemical oxygen demand (COD) for each sample is also provided. This data enables the comparison of the optical systems for predictive model calibration based for example on Partial Least Squares Regression (PLS-R) [1], but could be used more broadly to test new chemometrics methods. For example, the data could be used to evaluate different transfer functions between spectroscopic systems [2]. This dataset enabled the research work reported by Mallet et al. 2021 [3].
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spelling pubmed-81667742021-06-05 On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste Pérémé, Margaud Mallet, Alexandre Awhangbo, Lorraine Charnier, Cyrille Roger, Jean-michel Steyer, Jean-philippe Latrille, Éric Bendoula, Ryad Data Brief Data Article The near infrared spectra of thirty-three freeze-dried and ground organic waste samples of various biochemical composition were collected on four different optical systems, including a laboratory spectrometer, a transportable spectrometer with two measurement configurations (an immersed probe, and a polarized light system) and a micro-spectrometer. The provided data contains one file per spectroscopic system including the reflectance or absorbance spectra with the corresponding sample name and wavelengths. A reference data file containing carbohydrates, lipid and nitrogen content, biochemical methane potential (BMP) and chemical oxygen demand (COD) for each sample is also provided. This data enables the comparison of the optical systems for predictive model calibration based for example on Partial Least Squares Regression (PLS-R) [1], but could be used more broadly to test new chemometrics methods. For example, the data could be used to evaluate different transfer functions between spectroscopic systems [2]. This dataset enabled the research work reported by Mallet et al. 2021 [3]. Elsevier 2021-05-11 /pmc/articles/PMC8166774/ /pubmed/34095376 http://dx.doi.org/10.1016/j.dib.2021.107126 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Pérémé, Margaud
Mallet, Alexandre
Awhangbo, Lorraine
Charnier, Cyrille
Roger, Jean-michel
Steyer, Jean-philippe
Latrille, Éric
Bendoula, Ryad
On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste
title On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste
title_full On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste
title_fullStr On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste
title_full_unstemmed On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste
title_short On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste
title_sort on-site substrate characterization in the anaerobic digestion context: a dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166774/
https://www.ncbi.nlm.nih.gov/pubmed/34095376
http://dx.doi.org/10.1016/j.dib.2021.107126
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