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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Siler, D. et al United States Geological Survey
Oct 01, 2021
6 Resources
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6 Resources
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United States Mid-Atlantic Regional High Resolution Wind Resource
Annual average wind resource potential of the mid-Atlantic United States at a 50 meter height.
States included are: Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia and the District of Columbia.
This data set has been validated by NREL a...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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3 Resources
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Filenames of Data from the Distributed Acoustic Sensing Experiment at Garner Valley, California
In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission lists all file names from Distributed Acoustic Sensing (DAS) data collected...
Lancelle, C. et al University of Wisconsin
Jul 01, 2015
2 Resources
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2 Resources
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EGS Collab Experiment 2: Continuous Broadband Seismic Waveform Data
Two broadband seismometers were installed on the 4100 level and recorded for the duration of EGS Collab Experiment #2. Inspired by published data from similar instruments installed in the Aspo Hard Rock Lab, these long-period instruments aimed to measure the tilting of the drift i...
Rodriguez Tribaldos, V. Lawrence Berkeley National Laboratory
Sep 12, 2022
6 Resources
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6 Resources
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Alternative Fueling Station Locations
Alternative fueling stations are located throughout the United States and Canada, and their availability continues to grow. The Alternative Fuels Data Center (AFDC) maintains a website where you can find alternative fueling stations near you or on a route, obtain counts of alterna...
Muerdter, N. National Renewable Energy Laboratory
Jul 29, 2021
8 Resources
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8 Resources
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Modeling the Integration of Marine Energy into Microgrids Wave Resource Assessment
This submission has wave resource assessments which were conducted for six locations based on IEC requirements using the DOE WPTO Hindcast data and MHKiT. The locations are chosen to provide varying wave climates and include PacWave South, OR; Wave Energy Testing Site (WETS), HI; ...
Mankle, H. and Robertson, B. University of Alaska Fairbanks
Jan 19, 2023
9 Resources
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9 Resources
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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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Energy Intensity Indicators in the U.S.: Electricity Sector (1949 2004)
Energy intensity data and documentation published by the U.S. DOE's office of Energy Efficiency and Renewable Energy (EERE). Energy intensity is defined as: amount of energy used in producing a given level of output or activity; expressed as energy per unit of output. This is the ...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 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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Utility-Scale Solar, 2023 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2023 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Seel, J. et al Lawrence Berkeley National Lab
Sep 05, 2023
5 Resources
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5 Resources
1 Stars
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Puerto Rico Solar-for-All: LMI PV Rooftop Technical Potential and Solar Savings Potential
The Puerto Rico Solar-For-All dataset provides Census Tract level estimates of residential low-to-moderate income (LMI) PV rooftop technical potential as well as solar electric bill savings potential for LMI communities at the municipality level. Each dataset is broken out by inco...
Mooney, . et al National Renewable Energy Laboratory
Jul 28, 2020
5 Resources
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5 Resources
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Utah FORGE InSAR Data from 2020
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Dec 24, 2020
9 Resources
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9 Resources
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Utah FORGE InSAR Data from 2021
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Nov 30, 2021
9 Resources
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9 Resources
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Utah FORGE InSAR Data from 2022
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Nov 30, 2022
9 Resources
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9 Resources
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Reverse Osmosis Simulation Dataset
This dataset consists of computational fluid dynamics (CFD) output for various spacer configurations in a feed-water channel in reverse osmosis (RO) applications. Feed-water channels transport brine solution to the RO membrane surfaces. The spacers embedded in the channels help im...
Nadakkal Appukuttan, S. et al National Renewable Energy Lab NREL
Apr 22, 2024
2 Resources
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2 Resources
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Xcel Energy Comanche Station: Pueblo, Colorado (Data)
A partnership with industry and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal i...
Stoffel and AndreasNational Renewable Energy Laboratory
Feb 19, 2015
2 Resources
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2 Resources
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Distributed Acoustic Sensing (DAS) for Periodic Hydraulic Tests: Laboratory Data
These data were collected in the laboratory located at California State University Long Beach. They consist of DAS data collected from a fiber optic cable placed in a tank of water, subjected to oscillating head. These tests are described in the article linked below.
Coleman, T. California State University
Feb 27, 2015
5 Resources
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5 Resources
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Turbine Depth Optimization Study, Admiralty Inlet, WA
The zipped file contains a directory of data and routines used in the NNMREC turbine depth optimization study (Kawase et al., 2011), and calculation results thereof. For further info, please contact Mitsuhiro Kawase at kawase@uw.edu.
Kawase, M. et al University of Washington
Nov 22, 2009
2 Resources
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2 Resources
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NREL GIS Data: Global Offshore Wind
GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ).
Wind resource based on NOAA blended sea winds and monthly wind speed at 30km resolution, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average = 10 months of data, no null...
Langle, N. National Renewable Energy Laboratory
Jul 30, 2014
1 Resources
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1 Resources
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Energy Intensity Indicators in the U.S.: Industrial Sector (1949 2004)
Energy intensity data and documentation published by the U.S. DOE's office of Energy Efficiency and Renewable Energy (EERE). Energy intensity is defined as: amount of energy used in producing a given level of output or activity; expressed as energy per unit of output. This is the ...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Oil and Gas Basins in Alaska
Oil and gas basins in Alaska, available as GIS shape files. Digitized by Alaska Department of Natural Resources (ADNR), Information Resource Management Section. Digitized from DGGS publication, Special Report 32, Oil and Gas Basins Map of Alaska 1983, by Arlen Ehm.
### License ...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 1983
2 Resources
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North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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4 Resources
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PV Rooftop Database for Puerto Rico (PVRDB-PR)
The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded a...
Mooney, M. and Waechter, K. National Renewable Energy Laboratory (NREL)
Dec 16, 2020
5 Resources
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5 Resources
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Electric Power Monthly Monthly Data Tables
U.S. monthly electricity generation figures from 2008 to 2010 (and the fuel consumed to produce it) by state. Original source information from the [U.S. Energy Information Administration (EIA)](http://www.eia.doe.gov/cneaf/electricity/epa/epa_sprdshts_monthly.html).
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
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3 Resources
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Sustainable Federal Fleets
This data reveals trends in Federal agencies' alternative fuel vehicle acquisitions, petroleum-reduction efforts, and alternative fuel use. This data can help agencies analyze their fleets' performance in meeting Federal mandates.
Reichhardt, M. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
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1 Resources
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