title: Dataset of near infrared spectroscopy measurements to predict rheological parameters of sludge.
abstract: 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.
authors.affiliation: IRSTEA, UMR ITAP, 361 rue Jean-François Breton, BP 5095, 34093 Montpellier, France.
authors.forename: F
authors.initials: F
authors.lastname: Gibouin
authors.affiliation: IRSTEA, UMR ITAP, 361 rue Jean-François Breton, BP 5095, 34093 Montpellier, France.
authors.forename: E
authors.initials: E
authors.lastname: Dieudé-Fauvel
authors.affiliation: IRSTEA, UMR ITAP, 361 rue Jean-François Breton, BP 5095, 34093 Montpellier, France.
authors.forename: J-C
authors.initials: JC
authors.lastname: Baudez
authors.affiliation: IRSTEA, UMR ITAP, 361 rue Jean-François Breton, BP 5095, 34093 Montpellier, France.
authors.forename: R
authors.initials: R
authors.lastname: Bendoula
keywords: Near infrared spectroscopy; PLS; Rheological parameters; Sludge