Skip to main content

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.
- Originated 11/22/2019 by National Renewable Energy Laboratory.

1 Resource

 NameSizeTypeResource Description
 Wet Chemical Compositional and Near IR Spectra Data Sets for BiomasswebsiteUse this link to contact licensing officer.

Keywords

NREL energy data

Submitted

•  NOV  • 22 2019

National Renewable Energy Laboratory

by , 303.384.6242, Center 6A42, ORCID iD 0000-0003-2341-4639

Authors

License

NREL Disclaimer

Cite this dataset:

Wolfrum, Edward (2019): Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass. National Renewable Energy Laboratory. https://dx.doi.org/10.7799/1575072

About this dataset

id 123
DOI 10.7799/1575072
status Publicly accessible
last updated soon

DOE Project

GO10337 Data Sets for Biomass Samples

Research Areas

  • Bioenergy
  • Chemistry

Related datasets

Datasets associated with the same DOE project
  Submission Name Data Resources Submitted Status