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EGS Collab Experiment 2: Core Logs
Core logs and photos from the EGS Collab project Experiment 2 for the Top Vertical well (TV4100) and the Top Horizontal well (TV 4100) on the 4100 Level of SURF (the Sanford Underground Research Facility). The core logs are stored in a single PDF file with 5-ft run intervals. In t...
Dobson, P. et al Lawrence Berkeley National Laboratory
Jul 08, 2019
7 Resources
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7 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence S Raw Data
**Overview**
Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F);
Upwind 4° Pitch (F)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence U Raw Data
**Overview**
Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F);
Upwind 4° Pitch (F)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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Fallon FORGE: Lithology Logs and Well 21-31 Drilling Data
This submission includes lithology logs for all Fallon FORGE area wells; determined from core, cuttings, and thin section. Wells included are 84-31, 21-31, 82-36, FOH-3D, 62-36, 18-5, 88-24, 86-25, FOH-2, 14-36, 17-16, 34-33, 35A-11, 51A-20, 62-15, 72-7, 86-15, Carson_Strat_1_36-3...
Blankenship, D. et al Sandia National Laboratories
Mar 11, 2018
2 Resources
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2 Resources
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Utah FORGE: Phase 3 Ground Water Level Monitoring Data
Groundwater data around the Utah FORGE site has been collected to determine the piezometric levels and compositional variability. Field measurements in 2020 are designed to obtain and survey new groundwater wells that have been drilled on the distal periphery of the Utah FORGE pro...
Kirby, S. Utah geological Survey
Sep 30, 2020
1 Resources
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1 Resources
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Wave Energy Prize 1/20th Testing AquaHarmonics Point Absorber
Data from the 1/20th scale testing data completed on the Wave Energy Prize for the AquaHarmonics team, including the 1/20th scale test plan, raw test data, video, photos, and data analysis results.
The top level objective of the 1/20th scale device testing is to obtain the necess...
Scharmen, W. Ricardo Detroit Technical Center
Sep 02, 2016
69 Resources
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69 Resources
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Analysis of Joist Masonry Moisture Content Monitoring
BSC TO5 Task 7.2 Analysis of Joist Masonry Moisture Content Monitoring
House Lawrence, MA 01840
This work involved the field monitoring of embedded wood joist ends in a solid brick building in zone 5A that was retrofitted with interior insulation. Eleven joists throughout the bui...
Ueno, K. Building Science Corporation
Apr 27, 2016
3 Resources
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3 Resources
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Utah FORGE: Phase 2C Seismic Observation and Ground Water Well Data and Well Locations
This submission contains the following data associated with Utah FORGE Phase 2C within the Roosevelt Hot Springs geothermal area:
An ArcGIS shapefile with well locations for wells 58-32, 78-32, 68-32, OH-3, OH-4, WOW-2, and WOW-3. Well 58-32 is the deep test well, wells 68-32 an...
Abraham, S. et al Energy and Geoscience Institute at the University of Utah
Mar 26, 2019
6 Resources
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6 Resources
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Matlab Scripts and Sample Data Associated with Water Resources Research Article
Scripts and data acquired at the Mirror Lake Research Site, cited by the article submitted to Water Resources Research:
Distributed Acoustic Sensing (DAS) as a Distributed Hydraulic Sensor in Fractured Bedrock
M. W. Becker(1), T. I. Coleman(2), and C. C. Ciervo(1)
1 California St...
Becker, M. and Coleman, T. California State University
Jul 18, 2015
2 Resources
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2 Resources
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Surface Meteorological Station ANL 10m tower, Goldendale Raw Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 28, 2016
1 Resources
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1 Resources
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Surface Meteorological Station ANL 10m tower, Goldendale Reviewed Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 30, 2016
1 Resources
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1 Resources
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Surface Meteorological Station ANL 10m tower, Walla Walla Raw Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 28, 2016
1 Resources
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1 Resources
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Surface Meteorological Station ANL 10m tower, Walla Walla Reviewed Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 30, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Surface Meteorological Station ANL 10m tower, Yakima Raw Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 28, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Surface Meteorological Station ANL 10m tower, Yakima Reviewed Data
**Overview**
Basic meteorological measurements.
**Data Quality**
The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the...
Cook, D. Wind Energy Technologies Office (WETO)
Mar 30, 2016
1 Resources
0 Stars
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1 Resources
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Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data
**Overview**
The WindCube v2 was co-located with Site 300’s 52-m-tall meteorological tower so that measurements below 40 m could also be observed. The meteorological tower has three measurement levels: 10 m, 23 m, and 52 m. Wind speed was measured with a cup anemometer; wind di...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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1 Resources
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid
Mesh, properties, initial conditions, injection/withdrawal rates for modeling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, on ...
Smith, J. et al Lawrence Berkeley National Laboratory
Feb 26, 2021
15 Resources
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15 Resources
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Fine Scale Stress Test Modelling
Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, fo...
Smith, J. et al Lawrence Berkeley National Laboratory
Feb 22, 2021
14 Resources
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14 Resources
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NWEI Azura February 2016 Data
Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawai'i (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing s...
Lettenmaier, T. Northwest Energy Innovations
Mar 07, 2016
8 Resources
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8 Resources
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Performance and Costs of Ductless Heat Pumps in Marine-Climate High-Performance Homes Habitat for Humanity The Woods
The Washington State University (WSU) Energy Program's Building America (BA) team conducted a case study of a high-performance affordable housing community: The Woods (Figure 1). This BA effort is part of a larger-scale study of 30 homes funded from 2013-2016 by Tacoma Public Util...
Lubliner, M. et al Washington State University
Apr 27, 2016
8 Resources
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8 Resources
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Wave Classification Statistical Data for US Waters
Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.
Haas, K. Georgia Tech Research Corporation
Sep 21, 2016
1 Resources
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1 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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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
Publicly accessible
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
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1 Resources
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