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.
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KeywordsNREL energy data
National Renewable Energy Laboratory
by , 303.384.6242, Center 6A42, ORCID iD 0000-0003-2341-4639
- 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://dx.doi.org/10.7799/1575072
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