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Utah FORGE 5-2615: Well 58-32 and 78-32 Poroelastic Properties
Lab data on permeability, grain bulk modulus, drained bulk modulus, Skempton's pore pressure coefficient, and Biot's effective stress coefficient for Utah Forge Well 58-32 and Well 78-32.
Work done as part of project number 5-2615 by the University of Oklahoma.
Ghassemi, A. and Zhou, X. University of Oklahoma
Oct 31, 2022
2 Resources
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2 Resources
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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies
This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it contains results of power-system c...
BushNREL
Aug 01, 2020
2 Resources
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2 Resources
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Slip and Dilation Tendency Analysis of the Salt Wells Geothermal Area
Critically stressed fault segments have a relatively high likelihood of acting as fluid flow conduits (Sibson, 1994). As such, the tendency of a fault segment to slip (slip tendency; Ts; Morris et al., 1996) or to dilate (dilation tendency; Td; Ferrill et al., 1999) provides an in...
E., J. University of Nevada
Dec 31, 2013
1 Resources
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1 Resources
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Utah FORGE: Fault Reactivation Through Fluid Injection Induced Seismicity Laboratory Experiments
Included are results from shear reactivation experiments on laboratory faults pre-loaded close to failure and reactivated by the injection of fluid into the fault. The sample comprises a single-inclined-fracture (SIF) transecting a cylindrical sample of Westerly granite.
All expe...
Yu, J. et al Penn State University
Jul 01, 2023
27 Resources
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27 Resources
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Utah FORGE: 2020-2021 Geothermal Energy/EGS Survey and Results
The Utah FORGE project collaborated with the University of Utahs Department of Communication on a Capstone course during Fall Semester 2020. The course created a survey to gauge the general populations knowledge of geothermal energy and Enhanced Geothermal Systems (EGS). The surve...
Yeo, S. and McKasy, M. Energy and Geoscience Institute at the University of Utah
Jul 20, 2021
1 Resources
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1 Resources
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Machine Learning Model Geotiffs Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Ma...
Faulds, J. et al Nevada Bureau of Mines and Geology
Jun 01, 2021
1 Resources
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1 Resources
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Utah FORGE: Microseismic Event Catalogues from the Well 16A(78)-32 Stimulation in April, 2022
This dataset includes three microseismic event catalogues from the three stages of stimulation in April 2022 of well 16A(78)-32 derived by Geo Energie Suisse. Each spreadsheet contains source times, xy location, depth, and seismic moment magnitude. An animation of the order in whi...
Karvounis, D. et al University of Utah Seismograph Stations
Oct 10, 2023
2 Resources
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2 Resources
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Tanana River Transects September 2010
As part of the initial site investigation for the Tanana River near Nenana, Alaska, a set of transects was completed on September 23rd, 2010. Similar to the one done on August 10th, 2010. This data was collected with a Rio Grande 1200 Teledyne ADCP the same year the initial bathym...
DUVOY, P. University of Alaska Fairbanks
Sep 23, 2010
2 Resources
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2 Resources
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Jobs Tool Jobs FC Jobs Fuel Cells Calculator
Developed for the U.S. Department of Energy's Office of Fuel Cell Technologies by Argonne National Laboratory and RCF Economic and Financial Consulting, Inc., JOBS and economic impacts of Fuel Cells (JOBS FC) is a spreadsheet model that estimates economic impacts from the manufact...
Kalin, I. and Laboratory, A. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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Measure Guideline: Deep Energy Enclosure Retrofit for Interior Insulation of Masonry Walls and Flat Roofs
Measure Guideline: Deep Energy Enclosure Retrofit for Zero Energy Ready House Flat Roofs
BSC TO5 Task 7.4 Deep Energy Enclosure Retrofit (DEER) for Interior Insulation of Masonry Walls
Lawrence, MA 01840
This Measure Guideline describes a deep energy enclosure retrofit solution ...
Musunuru, S. et al Building Science Corporation
Apr 27, 2016
5 Resources
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5 Resources
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Building Component Library
The Building Component Library (BCL) is the U.S. Department of Energy’s comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components ...
Long, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
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In curation
1 Resources
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In curation
EGS Collab Experiment 1: DNA tracer data on transport through porous media
This submission contains DNA tracer data that supports the analysis and conclusions of the publication, "DNA tracer transport through porous media The effect of DNA length and adsorption." https://doi.org/10.1029/2020WR028382. This experiment used DNA as an artificial reservoir t...
Zhang, Y. et al Stanford University
Nov 21, 2020
3 Resources
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3 Resources
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Design of high deflection foils for MHK applications CFD files
The Ocean Renewable Power Company's (ORPC's) goal is to design, develop, and test hydrofoils with large deflections. The effects of the deflections on cross-flow turbine performance would be evaluated in order to inform design considerations for full-scale water turbines and other...
Barrington, M. and McEntee, J. Ocean Renewable Power Company
Jun 01, 2021
5 Resources
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5 Resources
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State Policies and Programs for Community Solar
The purpose of this dataset is to summarize current community solar policies and low-income stipulations by state in the United States. The dataset is updated multiple times per year. The current version is the first file located below.
Previous versions of the dataset publish...
Xu, . et al National Renewable Energy Laboratory
Oct 01, 2024
2 Resources
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2 Resources
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Soda Lake Well Lithology Data and Geologic Cross-Sections
Comprehensive catalogue of drill-hole data in spreadsheet, shapefile, and Geosoft database formats. Includes XYZ locations of well heads, year drilled, type of well, operator, total depths, well path data (deviations), lithology logs, and temperature data. Plus, 13 cross-sections...
E., J. University of Nevada
Dec 31, 2013
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 and FontaniniBuildings & Thermal Systems
Jan 12, 2021
1 Resources
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1 Resources
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Wave Tank Testing Report for Controls Validation of a Heaving Point Absorber
The core objectives of this project is to improve the power capture of three different wave energy
conversion (WEC) devices by more than 50% using an advanced control system and validate the
attained improvements using wave tank and full scale testing. In parallel, we will bring a...
Previsic, M. et al Re Vision Consulting
Aug 26, 2020
3 Resources
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3 Resources
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Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
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3 Resources
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Ceilometer ND Ceilometer, Wasco Airport Raw Data
**Overview**
Measurements of cloud base height and vertical visibility using pulsed infrared (910 nm) diode laser LIDAR technology. The instrument can detect up to three cloud layers simultaneously.
**Data Details**
Measurements taken in the standard measuring mode, where the C...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Jan 14, 2015
1 Resources
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wfip2.model/realtime.hrrr_esrl.graphics.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)
Dec 14, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_esrl.icbc.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)
Dec 01, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_wfip2.graphics.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)
Dec 16, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_wfip2.icbc.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)
Dec 01, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.rap_esrl.icbc.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)
Nov 19, 2015
1 Resources
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1 Resources
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wfip2.model/refcst.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)
Jan 31, 2016
1 Resources
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1 Resources
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