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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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]. |
format | Online Article Text |
id | pubmed-8166774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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