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Biomass for Carbon Removal and Storage (BiCRS) Counterfactual Decision Tree

Counterfactual is the term used to describe a "business-as-usual" scenario which used as a baseline to compare against a new project, allowing the calculation of net impacts for a life cycle analysis (LCA). The choice of counterfactual is critical for determining the results from ...

Harman-Ware, A. et al National Laboratory of the Rockies

Dec 18, 2025
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Genome-wide Transcription Factor DNA Binding Sites and Gene Regulatory Networks in Clostridium thermocellum

Clostridium thermocellum is a thermophilic bacterium recognized for its natural ability to effectively deconstruct cellulosic biomass. While there is a large body of studies on the genetic engineering of this bacterium and its physiology to-date, there is limited knowledge in the ...

Chou, K. et al National Renewable Energy Laboratory

Apr 19, 2021
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Development of Integrated Screening, Cultivar Optimization, and Verification Research (DISCOVR)

The objective of the DISCOVR consortia is to develop an integrated algae strain screening platform for the discovery of high-productivity and resilient strains of algae that can be cultivated outdoors year-round via crop rotation. The data includes annual weather data, algae culti...

Knoshaug, E. National Renewable Energy Laboratory (NREL)

Sep 01, 2016
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Deep Green Unannotated Protein Structures

The Deep Green list is based on the identification and curation of conserved unannotated proteins in three green lineage (Viridiplantae) model organisms; Arabidopsis thaliana, Chlamydomonas reinhardtii, and Setaria viridis. Preliminary characterization of Deep Green proteins and g...

Knoshaug, E. et al National Renewable Energy Laboratory

Apr 20, 2023
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Biomass for Carbon Removal and Storage (BiCRS) Variables Matrices

The Biomass for Carbon Removal and Storage (BiCRS) Variables Matrices provide insights related to measured, monitored, reported and verified (MMRV) components (variables) across a BiCRS value chain. Suggested variable values and components to be measured with literature references...

Harman-Ware, A. et al National Laboratory of the Rockies

Dec 18, 2025
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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...

Wolfrum, E. National Renewable Energy Laboratory

Nov 22, 2019
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United States Renewable Energy Technical Potential

Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints. The data presented here provide renewable energy potent...

Lopez, A. et al National Renewable Energy Laboratory

Nov 25, 2014
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Self-charging Zn-polymer Battery

This dataset supports the development and characterization of a bio-catalyzed oxidation self-charging zinc-polymer (Zn-PANI) battery system. The study introduces hemoglobin (Hb) as a catalytic additive in the polyaniline (PANI) cathode to enhance the autoxidation-driven self-charg...

Fan, H. et al Nanyang Technological University

Feb 01, 2024
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Alternative Fuels Data Center

The Alternative Fuels Data Center (AFDC) provides information, data, and tools to help fleets and other transportation decision makers find ways to reduce petroleum consumption through the use of alternative and renewable fuels, advanced vehicles, and other fuel-saving measures. ...

Muerdter, N. National Renewable Energy Laboratory

Nov 25, 2014
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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 ...

Milbrandt, A. National Renewable Energy Laboratory

Apr 25, 2016
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Benchmark Model for Wastewater Treatment Using an Activated Sludge Process

This is benchmark model for wastewater treatment using an activated sludge process. The activated sludge process is a means of treating both municipal and industrial wastewater. The activated sludge process is a multi-chamber reactor unit that uses highly concentrated microorganis...

Byun, J. and Maravelias, C. Princeton University

Jan 21, 2022
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FCIC FY18 LT-baseline Feedstock Images

Set of images taken during pilot plant dilute-acid hydrolysis preatreatment reactor operation. Images were taken with a GoPro Hero 5 with rectilinear lens facing downwards on a weigh-belt instrument. Image period was every 30 seconds during operation. This image set is connec...

Sievers, D. National Renewable Energy Laboratory

Jul 24, 2020
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