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SplitSmart: An Open Dataset for Enabling Research in Energy-Efficient Ductless-Split Air Conditioner
SplitSmart provides a context-rich open dataset to facilitate research in energy efficient ductless-split cooling systems. The objective is to enable research advancements to make the ductless-split cooling systems (aka air conditioners) energy efficient and reduce the associated ...
Kaushik, K. and Naik, V. BITS Pilani Goa
Sep 21, 2023
13 Resources
0 Stars
Publicly accessible
13 Resources
0 Stars
Publicly accessible
SubTER Final Magnetotelluric (MT) Data: Mineral Mountains, Utah
Subsurface Science, Technology and Engineering Research, and Development (SubTER) Crosscut is a collaboration across the Department of Energy offices involved in research activities in energy production/extraction, subsurface storage, and environmental remediation. This submission...
Wannamaker, P. Energy and Geoscience Institute at the University of Utah
Oct 13, 2021
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
SubTER ZTEM (Z-Axis Tipper Electromagnetic) Survey Results, Mineral Mountains Area, Utah
This data was acquired as part of the Subsurface Science, Technology and Engineering Research, and Development (SubTER) Crosscut which is a collaboration across the Department of Energy offices involved in research activities in energy production/extraction, subsurface storage, an...
Wannamaker, P. Energy and Geoscience Institute at the University of Utah
Oct 13, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utah FORGE: Earthquake Information and Data
This site contains information and data related to Utah earthquakes. It is maintained by the USGS Earthquake Hazards Program. This site contains information relevant to the Utah FORGE project.
Moore, J. Energy and Geoscience Institute at the University of Utah
Feb 29, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Recovery of Rare Earth Elements from Geothermal Fluids through Bacterial Cell Surface Adsorption
We summarized the FY17 and part of FY18 results of the analysis of the effect of several parameters (e.g., total dissolved solids, specific competing metals, pH, and temperature) on REE recovery from geothermal brine in a manuscript that was submitted to Environmental Science & Te...
Jiao, Y. et al Lawrence Livermore National Laboratory
Jan 01, 2018
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
DOE User Facilities and RD Equipment
This dataset contains information about hundreds of designated user-facilities and R&D equipment funded by the U.S. Department of Energy and accessible to the private sector. These facilities reside at DOE's
Honey, K. and (DOE), U. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
Wind Turbine Transmission Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from transmission based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 20...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Structure Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from structures based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Water Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from water based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022. For...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Road Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from roads based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022. For...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Railroad Setbacks: Ordinances (2022), 115HH 170RD
This dataset represents wind energy setback requirements from railroad based on existing county ordinances as of April 2022. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022. ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Microbial Taxa Distribution Data From 16S rRNA Analysis Of Desalination Operations At Carlsbad, CA And Tampa Bay, FL
This data set list the distribution of microbial taxa from three sets of sampling campaigns from unit operations in two large desalination facilities in the US conducted between March and May 2021. The desalination plants include the Claude "Bud" Lewis Carlsbad Desalination Plant ...
Kumar, M. et al University of Texas
Sep 24, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Ridgelines: USGS Definition
This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Oil & Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from oil and gas pipelines based on existing county ordinances as of April 2022. In cases where counties lacked specific oil and gas pipeline setback regulations, a median setback equivalent to 1.1 times the turbine tip-heig...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Transmission Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from transmission based on existing county ordinances as of April 2022. In cases where counties lacked specific transmission setback regulations, a median setback equivalent to 1.1 times the turbine tip-height was applied. T...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Structure Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from structures based on existing county ordinances as of April 2022. In cases where counties lacked specific structure setback regulations, a median setback equivalent to 2 times the turbine tip-height was applied. The turb...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Road Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from roads based on existing county ordinances as of April 2022. In cases where counties lacked specific road setback regulations, a median setback equivalent to 1.1 times the turbine tip-height was applied. The turbine para...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Water Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from water based on existing county ordinances as of April 2022. In cases where counties lacked specific water setback regulations, a setback equivalent to 1.1 times the turbine tip-height was applied. The turbine parameters...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Turbine Railroad Setbacks: Ordinances (2022) and Extrapolated Trends, 115HH 170RD
This dataset represents wind energy setback requirements from railroad based on existing county ordinances as of April 2022. In cases where counties lacked specific railroad setback regulations, a median setback equivalent to 1.1 times the turbine tip-height was applied. The turbi...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Hydrogeologic Windows: Regional Signature Detection for Blind and Traditional Geothermal Play Fairways applied to Southwestern New Mexico
Final Report describing regional signature detection for blind and traditional play fairways as part of Phase I of New Mexico Play Fairway Analysis. This project seeks to reduce exploration risk and identify new prospective targets using available geologic, geochemical, and geophy...
Bielicki, J. et al Los Alamos National Laboratory
Oct 16, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
New Mexico Play Fairway Analysis: New Mexico Available Wells for Geochemical Sampling
This is a map package that is used to show the wells in New Mexico that may be available for geochemical sampling.
Pepin, J. New Mexico Institute of Mining and Technology
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Next Generation Weather Radar (NEXRAD) Setback (4-km)
The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents 4-kilometer setback requirements typically applied to ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Wind Energy: Bans or Moratoriums (2022)
This dataset identifies counties and municipalities that had a wind energy ban or moratorium as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis Williams, O...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Solar PV Structure Setbacks: Ordinances (2022)
This dataset represents solar energy setback requirements from structures based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, T...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation
Solar PV Water Setbacks: Ordinances (2022)
This dataset represents solar energy setback requirements from water based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Awaiting curation
3 Resources
0 Stars
Awaiting curation