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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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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
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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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Unified Field Study 3 (UFS-3)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the third Unified Field Study (UFS-3), performed June t...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 29, 2016
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Unified Field Study 4 (UFS-4)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the fourth Unified Field Study (UFS-4), performed Septe...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
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Unified Field Study 5 (UFS-5)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the fifth Unified Field Study (UFS-5), performed Decemb...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
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Unified Field Study 6 (UFS-6)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the sixth Unified Field Study (UFS-6), performed March ...

Wolfrum, E. et al National Renewable Energy Laboratory

Oct 20, 2017
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Unified Field Study 1 (UFS-1)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the UFS-1 experiment, performed October to December 201...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
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Unified Field Study 2 (UFS-2)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the second Unified Field Study (UFS-2), performed April...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
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Unified Field Study 7 (UFS-7)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the seventh Unified Field Study (UFS-7), performed June...

Wolfrum, E. et al National Renewable Energy Laboratory

Oct 20, 2017
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