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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 samp...
WolfrumNational Renewable Energy Laboratory
Nov 22, 2019
1 Resources
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Publicly accessible

Bioenergy Knowledge Discovery Framework

The Bioenergy Knowledge Discovery Framework (BioKDF) provides a centralized repository of datasets and reports and contributes decision criteria for each feedstock management; matrices regarding cost, performance, and life cycle impacts (e.g., on air and water quality); support to...
Davis, M. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
0 Stars
In curation

NREL Biomethane GIS Data

This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste. The estimates are based ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Jan 16, 2015
2 Resources
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In curation

United States High Resolution Biomass (2008)

Biomass resource potential for the lower 48 states of the United States of America. Estimated technical biomass resources available in the United States by county. The following feedstock categories are considered for this study: crop residues, methane emissions from manure man...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation