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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…
Biomass
SPECTRA
feedstock
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.
…
biomass feedstock
automated image analysis
machine vision
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…
transcriptional regulatory networks
Clostridium thermocellum
regulon
transcription factor
DNA binding site
bioinformatics
DAP-seq
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…
high-throughput
compositional analysis
NIST
NMR Spectra
Biomass
PLS Model
ATP3 Unified Field Study Data
ATP3 Unified Field Study DataThe Algae Testbed Public-Private Partnership ATP3 was established with the goal of investigating open pond algae cultivation across different geographic climatic seasonal and operational conditions while setting the benchmark…
algae
biofuel
cultivation trials
harvest yields
Biomass
UFS
modeling and analysis
fuels
testbed
cultivation strategies
algal productivities
ponds
media
2013-2015
Nannochloropsis oceanica
Chlorella vulgaris
Desmodesmus cf intermedius
Arizona State University
Cellana
Cal Poly San Luis Obispo
Georgia Tech
Arizona
Georgia
California
Hawaii
Florida
Ohio
Florida Algae
TRL Corp
Continental USA
Unified Field Studies
biochemical
renewable energy
DEPRECATED: Levelized Cost of Charging Electric Vehicles
DEPRECATED: SEE https://data.nrel.gov/node/150 FOR CORRECTED DATA.
This data set includes the levelized cost of charging (LCOC) and lifetime fuel cost savings (LFCS) values as reported in "Levelized Cost of Charging of Electric Vehicles in the United…
electric vehicle
charging
ev
cost of electricity
fuel cost
utility rate analysis
demand charge
time of use
Levelized Cost of Charging Electric Vehicles
This data set includes the levelized cost of charging (LCOC) and lifetime fuel cost savings (LFCS) values as reported in "Levelized Cost of Charging of Electric Vehicles in the United States." Values are reported at the state and national levels for…
electric vehicle
charging
cost of electricty
fuel cost
utility rate analysis
demand charge
time of use
Heavy-Duty Vehicle Activity for EPA MOVES
The U.S. Environmental Protection Agency’s (EPA’s) MOtor Vehicle Emission Simulator (MOVES) is a publicly available tool used by researchers and policymakers to help understand motor vehicle emission sources at a national, county, and project level…
Fleet DNA
CE-CERT
on-road
heavy-duty vehicles
start and idle activity
MOVES.
Projecting California Light-Duty Vehicle Attributes (2019-2035): Appendix B
This data appendix contains supporting tables for the report titled "Projecting California Light-Duty Vehicle Attributes (2019-2035)". These tables contain data for the following projected vehicle attributes: acceleration, fuel economy, MSRP, vehicle…
light-duty vehicle
ADOPT model
vehicle attributes
Fuel Cell Inverter Dataset
This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter operation in grid-connected dispatch, islanded load changes, transition from grid-connected mode…
Fuel cells
fuel cell inverter
grid-forming fuel cell inverter
grid-following fuel cell inverter
microgrid operation
microgrid controller
artificial intelligence
database for artificial intelligence training
machine learning
database for inverter characterization
database for machine learning