Dataset of near infrared spectroscopy measurements to predict rheological parameters of sludge

Authors :: Gibouin F
Bendoula R
Dieudé-Fauvel E
Baudez Jc
Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
IRSTEA MONTPELLIER UMR ITAP FRA
Source :: Data in Brief, Data in Brief, Elsevier, 2016, 9, pp.453-459. ⟨10.1016/j.dib.2016.09.020⟩, Data in Brief, Vol 9, Iss C, Pp 453-459 (2016)
Publication Year :: 2016
Publisher :: HAL CCSD, 2016.
Abstract: International audience; In the dataset presented in this article, 36 sludge samples were characterized. Rheological parameters were determined and near infrared spectroscopy measurements were realized. In order to assess the potential of near infrared spectroscopy to predict rheological parameters of sludge, Partial Least Square algorithm was used to build calibration models.

Language :: English
ISSN :: 23523409
Database :: OpenAIRE
Journal :: Data in Brief, Data in Brief, Elsevier, 2016, 9, pp.453-459. ⟨10.1016/j.dib.2016.09.020⟩, Data in Brief, Vol 9, Iss C, Pp 453-459 (2016)
Accession number :: edsair.doi.dedup.....4eb116e85ef248bdf6b0dd628f7261fb
Full Text :: https://doi.org/10.1016/j.dib.2016.09.020⟩

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