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Installation of an Agrivoltaic System Influences Microclimatic Conditions and Leaf Gas Exchange in Cranberry
Cranberry production is vital to the economy of Massachusetts and in 2018 the Massachusetts Department of Energy Resources launched the Solar Massachusetts Renewable Target (SMART) program to create financial incentives for agrivoltaic systems. Agrivoltaic systems utilize the same...
Mupambi, G. et al University of Massachusetts Amherst
Jun 23, 2022
1 Resources
0 Stars
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1 Resources
0 Stars
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US Potable Water Reuse System Costs
This submission contains a set of U.S.-specific potable reuse capital and operations and maintenance (O&M) cost data ($2020) found in published presentations and reports from engineering consulting firms, utility and water agency press releases or websites, and literature. For any...
Sim, A. and Mauter, M. NAWI
Oct 20, 2020
2 Resources
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2 Resources
0 Stars
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NWTC Ceilometer (1) Pre-campaign / Derived Data
**Overview**
This instrument will be testing the data transfer process before deploying the campaign.
The netCDF L3 data file has level 3 (L3) data that have gone through the calculation service and contains all the data from the algorithms, including mixing layer height values ...
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
0 Stars
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1 Resources
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U.S. Wind Siting Regulation and Zoning Ordinances
A collection of documented wind siting ordinances at the state, county, township, and local level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (https://windexchange.energy.gov/policies-incentives), Nati...
Lopez, A. et al National Renewable Energy Laboratory (NREL)
Sep 25, 2019
1 Resources
0 Stars
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1 Resources
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U.S. Solar Siting Regulation and Zoning Ordinances
A machine readable collection of documented solar siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled based on a locality-by-locality review zoning ordinances after completing an initial review of scholarly l...
Lopez, A. et al National Renewable Energy Laboratory
Jun 30, 2022
2 Resources
0 Stars
Curated
2 Resources
0 Stars
Curated
U.S. Wind Siting Regulation and Zoning Ordinances
A machine readable collection of documented wind siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (Linked in the submission), National...
Lopez, A. et al National Renewable Energy Laboratory
Jun 30, 2022
5 Resources
1 Stars
Curated
5 Resources
1 Stars
Curated
Solar Home System Jharkhand India
Script in MATLAB and data sets in .csv for over 6 months of minute-by-minute resolution of household level energy consumption based off of three solar home systems with lights and a fan installed in Jharkhand, India.
The files herein include original spreadsheets with the raw dat...
Mehra, V. National Renewable Energy Laboratory
Aug 09, 2016
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
Hourly Dynamic Line Ratings for Existing Transmission Across the Contiguous United States (Preliminary)
This dataset provides estimated hourly dynamic line ratings for ~84,000 transmission lines across the contiguous United States from 2007-2013. The calculation methods are described in the presentation linked below, and the associated open-source Python code repository is linked in...
Obika, K. et al National Renewable Energy Laboratory
Sep 25, 2024
16 Resources
0 Stars
Curated
16 Resources
0 Stars
Curated
U.S. Nuclear Regulation Data (Information Digest, 2010 2011)
The US Nuclear Regulatory Commission (NRC) publishes an Information Digest containing summary information about the NRC and its industry. The report's appendices include demographic data on U.S. nuclear power reactors, both commercial and test facilities. Details include licensee ...
Hallett, K. and (USNRC), U. National Renewable Energy Laboratory
Aug 30, 2010
10 Resources
0 Stars
In curation
10 Resources
0 Stars
In curation
Fluid Rare Earth Element Analyses from Geothermal Wells Located on the Reykjanes Peninsula, Iceland and Middle Valley Seafloor Hydrothermal System on the Juan de Fuca Ridge.
Results for fluid rare earth element analyses from four Reykjanes peninsula high-temperature geothermal fields. Data for fluids from hydrothermal vents located 2400 m below sea level from Middle Valley on the Juan de Fuca Ridge are also included. Data have been corrected for flash...
Fowler, A. University of California
May 01, 2015
1 Resources
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1 Resources
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Water Use in Enhanced Geothermal Systems (EGS): Geology of U.S. Stimulation Projects, Water Costs, and Alternative Water Use Policies
According to the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE), geothermal energy generation in the United States is projected to more than triple by 2040 (EIA 2013). This addition, which translates to more than 5 GW of generation capacity, is anti...
Harto, C. et al Argonne National Laboratory
Dec 16, 2014
13 Resources
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13 Resources
0 Stars
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EGS Collab Experiment 1: Circulation Testing Processed data
This submission includes processed and reduced data for circulation testing that was conducted at the 164' fracture on the 4850 ft level of the Sanford Underground Research Facility. The circulation tests were done to test the flow through the 164' fracture in the EGS Collab Exper...
Fu, P. et al Lawrence Livermore National Laboratory
Apr 01, 2021
7 Resources
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7 Resources
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wfip2.model/retro.hrrr.01.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
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Publicly accessible
1 Resources
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wfip2.model/retro.hrrr.01.fcst.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
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1 Resources
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wfip2.model/retro.hrrr.02.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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wfip2.model/retro.hrrr.02.fcst.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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wfip2.model/retro.rap.01.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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wfip2.model/retro.rap.02.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
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1 Resources
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Newberry FORGE: 3D Gravity Density Model for Newberry Volcano
These data are Pacific Northwest National Lab inversions of an amalgamation of two surface gravity datasets: Davenport-Newberry gravity collected prior to 2012 stimulations and Zonge International gravity collected for the project "Novel use of 4D Monitoring Techniques to Improve...
Bonneville, A. Pacific Northwest National Laboratory
Mar 11, 2016
1 Resources
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1 Resources
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BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Curated
9 Resources
1 Stars
Curated
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, 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
0 Stars
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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
0 Stars
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1 Resources
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