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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.

SUBMITTER: Gibouin F 

PROVIDER: S-EPMC5040641 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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

Gibouin F F   Dieudé-Fauvel E E   Baudez J-C JC   Bendoula R R  

Data in brief 20160921

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. ...[more]

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