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.
Citation Formats
TY - DATA
AB - 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.
AU - Wolfrum
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - Biomass
KW - SPECTRA
KW - feedstock
LA - English
DA - 2019/11/22
PY - 2019
PB - National Renewable Energy Laboratory
T1 - Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass
UR - https://data.openei.org/submissions/8196
ER -
Wolfrum. Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass. National Renewable Energy Laboratory, 22 November, 2019, NREL. https://data.nrel.gov/submissions/123.
Wolfrum. (2019). Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/123
Wolfrum. Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass. National Renewable Energy Laboratory, November, 22, 2019. Distributed by NREL. https://data.nrel.gov/submissions/123
@misc{OEDI_Dataset_8196,
title = {Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass},
author = {Wolfrum},
abstractNote = {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.},
url = {https://data.nrel.gov/submissions/123},
year = {2019},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/123},
note = {Accessed: 2025-05-03}
}
Details
Data from Nov 22, 2019
Last updated Dec 18, 2024
Submitted Nov 22, 2019
Organization
National Renewable Energy Laboratory
Contact
David Crocker
Authors
Original Source
https://data.nrel.gov/submissions/123Research Areas
DOE Project Details
Project Name Data Sets for Biomass Samples
Project Number GO10337
