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Utah FORGE: Well 14-2 Logs and Data from Roosevelt Hot Spring Area
This is a compilation of logs and data from Well 14-2 in the Roosevelt Hot Springs area in Utah. This well is also in the Utah FORGE study area.
Data includes: flowmeter survey (1989), geochemistry (1977-1978, 1977-1983), injection test data (1979, 1982), and spinner surveys (19...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 03, 2016
1 Resources
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1 Resources
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DEPRECATED Sharing the Sun Community Solar Project Data (December 2022)
This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/244 This database represents a list of community solar projects identified through various sources as of Dec 2022. In addition, this dat...
Chan. . et al National Renewable Energy Laboratory
Jul 31, 2023
2 Resources
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2 Resources
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Caerbannog Point Clouds
The Caerbannog Point Clouds provide point-sampled 3D models occluded in clouds of points. We synthesized the 3D point clouds from polygonal models, point-sampling the models and surrounding them in a point cloud such that the shape of the model is occluded in any 2D projection. We...
Raghupathi. . et al National Renewable Energy Laboratory
Dec 01, 2020
6 Resources
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Publicly accessible
6 Resources
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Publicly accessible
Utah FORGE: Geologic, Topographic, and Other Related Maps and GIS Data from the Earth Model
This submission contains a number of maps and shapefiles related to the Utah FORGE site. Examples include geologic maps (several variations) and GIS data for the Utah FORGE site outline.
All data are georeferenced to UTM, zone 12N, NAD 83, NAVD 88.
Podgorney, R. et al Idaho National Laboratory
Dec 07, 2018
4 Resources
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Publicly accessible
4 Resources
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Drifting Acoustic Measurements around C-Power's SeaRay WEC
The repository contains underwater noise measurements and associated metadata collected around C-Power's SeaRay wave energy converter on July 15, 2024 and July 16, 2024 while it was deployed at the U.S. Navy's Wave Energy Test Site (WETS) in Kaneohe, HI. Measurements were obtained...
Polagye, B. et al University of Washington
Jul 16, 2024
2 Resources
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2 Resources
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Low-Temperature Hydrothermal Resource Potential Estimate
Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessible...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
3 Resources
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3 Resources
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2021 Alaska Energy Statistics Workbook
Annual data for Alaska on electric generation capacity, net generation, fuel use, sales, customers, and revenues. Covers all Alaska certificated electric utilities and most other generators. Combines data from EIA forms 923, 860, 861, and 861S with data from Alaska?s Power Cost Eq...
McMahon, N. et al University of Alaska Fairbanks
Aug 25, 2023
1 Resources
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In progress
1 Resources
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In progress
Surprise Valley Water Geochemical Data
Chemical analyses of thermal and cold ground waters from Surprise Valley, California, compiled from publicly available sources, in collaboration with UC Davis.
Spycher, N. Lawrence Berkeley National Laboratory
Apr 13, 2015
1 Resources
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1 Resources
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Global Energy & Mining Data, World Bank (1970 2007)
Alternative and Nuclear Energy: Percentage of Total Energy Use Combustible Renewables and Waste: Metric Tons of Oil Equivalent Combustible Renewable and Waste: Percentage of Total Energy Electric Power Consumption Electric Power Transmission and Distribution Losses Electric Power ...
Brodt-Giles, D. and Bank, W. National Renewable Energy Laboratory
Oct 12, 2013
4 Resources
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In curation
4 Resources
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In curation
Sample IEEE123 Bus system for OEDI SI
Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder...
Elgindy, T. and Balasubramaniam, K. National Renewable Energy Laboratory
Sep 01, 2022
4 Resources
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4 Resources
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ORNL NILMS Project Yarnell Station Research House
DOE funded research for NILMS and fault detection for small and medium commercial buildings. This contains notes, documentation, and data from testing at the Yarnell Station research house. The data can be used to study non-intrusive load monitoring approaches.
Fugate, D. and Laboratory, O. Oak Ridge National Laboratory
Mar 22, 2017
3 Resources
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In curation
3 Resources
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In curation
Bottom Shear Stress in Lake Erie for Parameterization
2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stre...
Lin, S. Uppsala University
Mar 18, 2022
1 Resources
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1 Resources
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Gravity, Granite Springs Valley, Nevada Play Fairway Analysis
All raw data for new data acquired, key grids such as CBA and horizontal derivative, acquisition report, and depth models. This gravity data is associated with the Nevada Play Fairway project.
Faulds, J. Nevada Bureau of Mines and Geology
Sep 14, 2017
2 Resources
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2 Resources
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California Auxiliary Datasets for Buoy (120), Humboldt / Derived Data
**Overview**
This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected ...
Medina, G. Wind Energy Technologies Office (WETO)
Jun 14, 2018
1 Resources
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1 Resources
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California Auxiliary Datasets for Buoy (130), Morro Bay / Derived Data
**Overview**
This dataset compiles results from different model-based hindcasts and instruments that measure environmental variables at the location of the associated lidar buoys. This dataset complements the lidar buoy measurements by providing longer time histories of selected ...
Medina, G. Wind Energy Technologies Office (WETO)
Jun 14, 2018
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON1 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 07, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON6 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 07, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON7 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 07, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON8 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Dec 06, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON9 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Nov 27, 2016
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON2 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Jul 06, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON3 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 07, 2015
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON4 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Jan 12, 2016
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON5 Raw Data
**Overview**
This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 07, 2015
1 Resources
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1 Resources
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NAWI Seedling Project: Foundational Control Methods for Water Treatment Systems Online Actuator and Sensor Data
This repository contains online actuator and sensor data and associated meta-data collected during the NAWI-funded seedling project with title: Foundational Control Methods for Water Treatment Systems. For detailed information on each dataset, please check the README included there.
Villez, K. et al Oak Ridge National Laboratory
Jan 01, 2020
7 Resources
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7 Resources
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