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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
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Multi-Sensor Object Detection Data from Infrastructure Sensors Deployed at Traffic Intersections in the City of Colorado Springs, Colorado, USA
The dataset provided here was collected as a part of the US Department of Transportation (USDOT) Strengthening Mobility and Revolutionizing Transportation (SMART) project, where the City of Colorado Springs (Colorado, USA) and National Renewable Energy Laboratory (NREL) collaborat...
Sandhu. . et al National Renewable Energy Laboratory
Mar 11, 2025
6 Resources
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6 Resources
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Opportunities for Solar for Industrial Process Heat in the United States
Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).
McMillan. . et al National Renewable Energy Laboratory
Dec 24, 2020
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22 Resources
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