Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass

Near-infrared (NIR) calibration models are created by applying multivariate calibration methods to the combination of wet chemistry data and NIR spectra of a given set of biomass samples. Wet chemical compositional data and NIR spectra exist for the following types of biomass samples: corn stover, switchgrass, mixed hardwoods, mixed softwoods, sorghum, and miscanthus. These samples may be feedstock samples, washed and dried solids from one or more pretreatment processes, liquors derived from one or more pretreatment processes, or whole pretreated slurries.
1 Resource
Name Size Type Resource Description
Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass 0 KB Website Use this link to contact licensing officer.
Keywords
Author Information
Edward Wolfrum, National Renewable Energy Laboratory, ORCID iD: 0000-0002-7361-8931
Cite This Dataset
Wolfrum, Edward (2019): Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/123
About This Dataset
123
10.7799/1575072
Public
11/22/2019
DOE Project
Data Sets for Biomass Samples
Facilities
Biomass & Biosciences Research (BBR)
Funding Organization
Department of Energy (DOE)
Sponsoring Organization
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
Research Areas
Bioenergy
Chemistry
Digital Object Identifier
10.7799/1575072