Data in Brief (Dec 2016)

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

  • F. Gibouin,
  • E. Dieudé-Fauvel,
  • J-C. Baudez,
  • R. Bendoula

DOI
https://doi.org/10.1016/j.dib.2016.09.020
Journal volume & issue
Vol. 9, no. C
pp. 453 – 459

Abstract

Read online

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.

Keywords