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Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa
Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa (for corresponding manuscript: DOI: 10.1002/bbb....
Happs, . et al National Renewable Energy Laboratory
Mar 16, 2022
1 Resources
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1 Resources
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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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1 Resources
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WAP & LIHEAP for Solar Survey Responses and Plan Analyses
This data contains the results of surveys given to LIHEAP/WAP administrators in 2022, 2023, and 2024, as well as spreadsheets coding states' annual LIHEAP and WAP plans from 2021, 2022, and 2023 for mentions of solar energy. This data is the second version of the original dataset ...
Cook, . et al Strategic Energy Analysis Center
Mar 06, 2024
2 Resources
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2 Resources
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Equitable Energy Investment Prioritization Data Set
This data set compiles metrics related to energy justice, environmental justice, and renewable energy (RE) deployment potential. The metrics, including energy burden, sociodemographic characteristics, environmental hazard exposure, and the technical generation potential and leveli...
Day and RossIntegrated Applications Center
Oct 15, 2021
4 Resources
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4 Resources
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Resource Reporting Methodology Analysis and Development of Geothermal Reporting Metric for GTO's Hydrothermal Program
The US Geological Survey (USGS) resource assessment (Williams et al., 2009) outlined a mean 30GWe of undiscovered hydrothermal resource in the western US. One goal of the Geothermal Technologies Office (GTO) is to accelerate the development of this undiscovered resource. The Geoth...
YoungNational Renewable Energy Laboratory
Jan 19, 2016
1 Resources
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1 Resources
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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies
This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it contains results of power-system c...
BushNREL
Aug 01, 2020
2 Resources
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2 Resources
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Socioeconomic Data for the Permian Basin
This dataset was compiled to support socioeconomic analyses of counties in the Permian Basin in Texas and New Mexico for the Permian Energy Development Lab (PEDL). The metrics in the dataset are organized into four categories: Socioeconomics, Health & Wellbeing, Jobs & Workforce, ...
RossJoint Institute for Strategic Energy Analysis
May 16, 2024
1 Resources
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1 Resources
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Gearbox Reliability Collaborative Phase 3 Gearbox 2 Test
The National Renewable Energy Laboratory (NREL) Gearbox Reliability Collaborative (GRC) was established by the U.S. Department of Energy in 2006; its key goal is to understand the root causes of premature gearbox failures and improve their reliability. The GRC uses a combined gear...
Keller and RobbNational Renewable Energy Laboratory
May 02, 2016
17 Resources
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17 Resources
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Gearbox Reliability Collaborative Phase 3 Gearbox 3 Test
The GRC uses a combined gearbox testing, modeling, and analysis approach disseminating data and results to the industry and facilitating improvement of gearbox reliability. This test data describes the tests of GRC gearbox 3 in the National Wind Technology Center dynamometer and d...
Keller and WallenNational Renewable Energy Laboratory
Dec 21, 2016
18 Resources
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18 Resources
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Electrification Futures Study Flexible Load Profiles
This data set includes hourly profiles for flexible load developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand that is assumed to be flexible (i.e., can be shifted throughout a day) for various scenarios of flexibil...
Jadun, . et al National Renewable Energy Laboratory
Feb 04, 2020
3 Resources
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3 Resources
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Electrification Futures Study Load Profiles
This data set includes hourly load profiles developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand for various scenarios of electrification (Reference, Medium, High) and technology advancement (Slow, Moderate, Rapid)...
Mai, . et al National Renewable Energy Laboratory
Jan 14, 2020
9 Resources
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9 Resources
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Screening Tool for Equitable Adoption and Deployment of Solar (STEADy Solar)
The Screening Tool for Equitable Adoption and DeploYment of Solar (STEADy Solar) is a database and mapping tool designed to promoting clean energy investments for low-income communities across the United States. The tool indicates locations that may be eligible for the Investment ...
Ferrall-Wolf and McLarenAccelerated Deployment and Decision Support Center
May 24, 2024
4 Resources
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4 Resources
0 Stars
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