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

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.

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Sciences de l'environnement

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https://hal.inrae.fr/hal-02606145

Soumis le : samedi 16 mai 2020-11:57:59

Dernière modification le : lundi 22 avril 2024-17:36:16

Dates et versions

hal-02606145 , version 1 (16-05-2020)

Identifiants

HAL Id : hal-02606145 , version 1
DOI : 10.1016/j.dib.2016.09.020
IRSTEA : PUB00054496

Citer

Florence Gibouin, E. Dieudé Fauvel, J.C. Baudez, R. Bendoula. Dataset of near infrared spectroscopy measurements to predict rheological parameters of sludge. Data in Brief, 2016, 9, pp.453-459. ⟨10.1016/j.dib.2016.09.020⟩. ⟨hal-02606145⟩

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