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Rooftop Photovoltaic Technical Potential in the United States
This data submission contains a workbook with data, and three sets of shapefiles that correspond to that data. The workbook contains data that underlies the 2016 technical report Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment. ...
Gagnon, P. et al National Renewable Energy Laboratory
Nov 05, 2019
5 Resources
0 Stars
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5 Resources
0 Stars
Publicly accessible
Raft River Geothermal Area Logical and Fact Data Models
This submission includes fact and logical data models for geothermal data concerning wells, fields, power plants and related analyses at Raft River, ID. The fact model is available in VizioModeler (native), html, UML, ORM-Specific, pdf, and as an XML Spy Project. An entity-relatio...
Cuyler, D. Sandia National Laboratories
Jul 19, 2012
7 Resources
0 Stars
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7 Resources
0 Stars
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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
0 Stars
Publicly accessible
3 Resources
0 Stars
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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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Publicly accessible
4 Resources
0 Stars
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HRRR Meteorology, Energy, and Transmission (MET) Toolkit
The HRRR MET (Meteorology, Energy, and Transmission) Toolkit is the National Laboratory of the Rockies' (NLR) new flagship atmospheric dataset, designed to support comprehensive long-term planning and operations across the entire power sector. Serving as the direct successor to th...
Bodini, N. et al National Laboratory of the Rockies (NLR)
Mar 09, 2026
6 Resources
0 Stars
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6 Resources
0 Stars
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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
0 Stars
Publicly accessible
1 Resources
0 Stars
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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
0 Stars
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1 Resources
0 Stars
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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
0 Stars
Publicly accessible
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
0 Stars
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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
0 Stars
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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
0 Stars
Publicly accessible
1 Resources
0 Stars
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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
0 Stars
Publicly accessible
1 Resources
0 Stars
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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
0 Stars
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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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CalWave Open Water Demo Budget Period 1 Reports
The objective of the project is to advance the Technology Readiness Level (TRL) of the Wave Energy Converter (WEC) developed by CalWave Wave Power Technologies Inc (CalWave) through advanced numerical simulations, dynamic hardware tests, and ultimately a scaled open water demonstr...
Boerner, T. et al CalWave Power Technologies Inc.
Jun 03, 2019
8 Resources
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8 Resources
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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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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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TMY3 Weather Data for ComStock and ResStock
A set of TMY3 EPW weather files for each county of the U.S. NOTE: A file was uploaded on 2022/10/05 with additions to address known missing data for Nolan County, TX (FIPS: 48353), Fisher County, TX (FIPS: 48151), and Stonewall County, TX (FIPS: 48433).
Bianchi, C. and Fontanini, A. National Renewable Energy Laboratory
Jan 12, 2021
1 Resources
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1 Resources
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Validation of Innovative Exploration Technologies for Newberry Volcano: Gravity Report
Report detailing data acquisition, quality, processing, and presentation for the gravity survey conducted on the Newberry Volcano.
(Validation of Innovative Exploration Technologies for Newberry Volcano: Gravity Report of Newberry prepared by Zonge GeoSciences 2012)
Jaffe, T. Davenport Newberry Holdings, LLC
Jan 06, 2012
2 Resources
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2 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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Fallon FORGE: Vs30m Seismic Velocity
Time-averaged shear-wave velocity to 30 m depth about the Fallon, NV FORGE site.
Blankenship, D. and Kaven, J. Sandia National Laboratories
Mar 12, 2018
3 Resources
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3 Resources
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Lidar UMBC WindCube 200S Doppler Lidar Processed Data
**Data Details**
UMBC Lidar:
Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416
NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428
Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
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1 Resources
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Lidar UMBC WindCube 200S Doppler Lidar Derived Data
**Data Details**
UMBC Lidar:
Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416
NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428
Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
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1 Resources
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