Dataset of near infrared spectroscopy measurements to predict rheological parameters of sludge
F. Gibouin, E. Dieudé-Fauvel, J-C. Baudez and 1 more
Data in Brief · 2016
doi:10.1016/j.dib.2016.09.020 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
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.
Abstract licence: CC BY-NC
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.