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ALFA Station Keeping Results for Seabotix vLBV300 Underwater Vehicle near Newport, OR
This data set presents results testing the station keeping abilities of a tethered Seabotix vLBV300 underwater vehicle equipped with an inertial navigation system. These results are from an offshore deployment on April 20, 2016 off the coast of Newport, OR (44.678 degrees N, 124.1...
Hollinger, G. Oregon State University
Apr 20, 2016
8 Resources
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8 Resources
0 Stars
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ALFA Field Testing of a Dual Sonar System for Detecting Woody Debris
Field testing of a dual sonar system for detecting woody debris in natural settings was conducted at the Tanana River Test Site (TRTS) in Nenana, AK between 8/26 and 9/23, 2015. The TRTS is approximately 65 miles south of Fairbanks and is well suited for testing hydrokinetic energ...
Kasper, J. University of Alaska Fairbanks
Apr 11, 2022
16 Resources
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16 Resources
0 Stars
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Strengthening of Calcite Assemblages through Chemical Complexation Reaction Experimental Data
Experimental data for manuscript "Strengthening of Calcite Assemblages through Chemical Complexation Reaction" by R. C. Choens, J. Wilson, and A. G. Ilgen; Sandia National Laboratories. The data includes scanning electron microscope images of various calcite assemblages along with...
Choens, R. et al Sandia National Laboratories
Feb 04, 2021
11 Resources
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11 Resources
0 Stars
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EGS Collab Experiment 2: Results of Tracer Tests
Multiple sets of tracer tests were conducted at the EGS Collab Testbed 2 on the 4100 L at the Sanford Underground Research Facility (SURF), Lead, SD. The enclosed data package includes: tracer recovery results, water balance calculations and rationales, water flow measurement for ...
Neupane, G. et al Idaho National Laboratory
Jul 26, 2022
5 Resources
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5 Resources
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Utah FORGE: Microseismic Monitoring Geophone Data from Well 78-32
This submission includes geophone data collected by Schlumberger from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. The data are hosted by the Center for High Performance Computing (CHPC) at the University of Utah, and a script for dow...
Pankow, K. University of Utah
Mar 18, 2020
5 Resources
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Publicly accessible
5 Resources
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Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications
To better understand the heat production, electricity generation performance, and economic viability of closed-loop geothermal systems in hot-dry rock, the Closed-Loop Geothermal Working Group a consortium of several national labs and academic institutions has tabulated time-depe...
Beckers, K. et al Pacific Northwest National Laboratory
Feb 03, 2023
3 Resources
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3 Resources
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Paisley Oregon Geothermal Plant Operated by Surprise Valley Electrification 2016 Operational Information
This submission includes an Electricity Generation Summary, Maintenance Logs, Detailed Operations Data, Operating Cost Summary, and an Operations overview at the Paisley Oregon Geothermal Plant.
Data uploaded for SVEC by Tom Williams, NREL
Culp, E. Surprise Valley Electrification Corp. (SVEC)
Jan 01, 2017
5 Resources
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5 Resources
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GeoVision Barriers Taskforce
This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort.
Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
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5 Resources
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EGS Collab Experiment 2: Wireline Geophysical Well Logs
This is the full wireline geophysical datasets for characterization of the EGS Collab Experiment #2 testbed. A metadata fill is included within the dataset explaining the logs, fracture picks, etc. Eleven boreholes were drilled for this testbed and each one was logged with north s...
Ulrich, C. and Schwering, P. Lawrence Berkeley National Laboratory
Jul 09, 2019
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
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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
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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
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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
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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
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1 Resources
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Sodar Brady, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .txt files from the Brady, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resource ...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 14, 2011
1 Resources
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1 Resources
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Sodar Jayton, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .txt files from the Jayton, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resource...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 14, 2011
1 Resources
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1 Resources
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Sodar Lubbock, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .mnd files from the Lubbock, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resourc...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jun 15, 2011
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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USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geoph...
DeAngelo, J. et al Nevada Bureau of Mines and Geology
Jun 01, 2021
1 Resources
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1 Resources
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EGS-Collab Experiment 1: Time-lapse ERT Data and E4D Inversion Files for 10-24-2018 through 11-07-2018 Flow Test
This data submission includes the raw time-lapse ERT (electrical resistivity tomography) monitoring data, flow system data, operator logs, E4D (https://e4d.pnnl.gov) inversion files, and metadata necessary to reproduce the 4D ERT inversion for the Oct. 24 through Nov. 7 2018 post-...
Johnson, T. Pacific Northwest National Laboratory
Jul 30, 2021
5 Resources
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5 Resources
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Fluid Geochemistry, Granite Springs Valley, Nevada Play Fairway Analysis
This data set is associated with the Nevada Play Fairway project. Excel file 5-Area Chem contains all the major chemistry for the areas sampled in the project. New analyses are in lines 2-30, while older analyses appear below that. Field Data excel file contains both field notes a...
Faulds, J. Nevada Bureau of Mines and Geology
Sep 14, 2017
5 Resources
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5 Resources
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Hybrid machine learning model to predict 3D in-situ permeability evolution
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Elsworth, D. and Marone, C. Pennsylvania State University
Nov 22, 2022
4 Resources
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4 Resources
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DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Pauling, H. et al National Renewable Energy Laboratory
Jun 30, 2023
22 Resources
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22 Resources
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Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The overall project area is 2500km2 with the Calibration Area (Dixie Valley Geothermal Wellfield) being about 170km2....
Iovenitti, J. AltaRock Energy Inc
Jan 02, 2014
11 Resources
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11 Resources
0 Stars
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