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Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa

Corresponding Standard Reference Material Data used in Partial Least Squares Regression Models for Sugar Composition Estimates in Biomass in: Economic Impact of Yield and Composition Variation in Bioenergy Crops: Populus trichocarpa (for corresponding manuscript: DOI: 10.1002/bbb....

Happs. . et al National Renewable Energy Laboratory

Mar 16, 2022
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Lidar ESRL WindCube 200s, Arlington Airport Reviewed Data

**Overview** The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer (

Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)

Aug 31, 2015
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Lidar ESRL WindCube 200s, Wasco Airport Reviewed Data

**Overview** The available "Readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer (

Baidar, S. and Brewer, A. Wind Energy Technologies Office (WETO)

Aug 31, 2015
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Utah FORGE 8-3637: Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency 2024 Annual Workshop Presentation

This is a presentation on the Integrated Diagnostics for Interpreting Doublet Heat Sweep Efficiency by Texas Tech University, presented by Smith Leggett. This video slide presentation discusses the ID squared technical objectives to develop and integrate diagnostic tools to deter...

Leggett, S. Energy and Geoscience Institute at the University of Utah

Sep 14, 2024
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...

Ahmmed, B. Stanford University

Apr 04, 2022
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Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Reviewed Data

**Overview** These data provide vertical mean profiles of wind and direction (30 min time step and 10 m range gate). **Data Details** Data averaged over an interval of 30 minutes. Wind Direction is from Geographic North. Time stamp is included in each data file. Location: Jo...

Fernando, J. et al Wind Energy Technologies Office (WETO)

Dec 01, 2015
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Catalyst Design in Nitrate Removal

Based on the volcano plot developed by Dr. Goldsmith group (Report linked in submission), we utilized DFT (density functional theory) calculations to search for bimetallic materials in the application of catalysts in aqueous nitrate removal. The calculations are conducted via the ...

Wang, D. and Jain, A. Lawrence Berkeley National Laboratory

Dec 01, 2021
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Utah FORGE: Reports on Northwestern Nevada Well Doublet Drilling and Testing by Fervo Energy

These reports review Fervo Energy's construction of a commercial enhanced geothermal system (EGS). Fervo has qualified full functionality of the system through production testing at commercially relevant operating conditions. The project site is located in a nearfield setting ad...

Dadi, S. et al Fervo Energy

Sep 05, 2023
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Lost Circulation Materials in Geothermal Drilling: Thermal Degradation, Viscosity, Compression, and Flow Loop Tests

This dataset provides a set of experimental data on the performance of lost circulation materials (LCMs) used in geothermal drilling operations. It includes results from four distinct tests: thermal degradation, viscosity measurements, compression tests, and high-temperature flow ...

Kibikas, W. et al Sandia National Laboratories

Feb 01, 2022
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...

Jin, W. et al Idaho National Laboratory

Apr 15, 2022
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Compiled Groundwater Chemistry Data and Identified Mineralogy for the Portland Basin CRBG Aquifer System as part of DDU Feasibility Study

Groundwater Chemistry data for the Portland Basin was compiled from published literature, as well as state and federal groundwater quality reports. Mineralogies were identified based on previous literature, as well as XRD and SEM analysis conducted at Portland State University. Up...

Svadlenak, E. Portland State University

Dec 03, 2018
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Chemistry of the thermal water samples of the Camas Prairie area in Idaho, USA

This dataset includes chemistry of geothermal water samples of the Camas Prairie area in Idaho. The samples included in this dataset were collected over the period of 2016-2019. Collection/analysis of new water samples and compilation of existing water chemistry database were cond...

Neupane, G. et al Idaho National Laboratory

Sep 30, 2020
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Utah FORGE 5-2565: Hydrothermal Evolution of Fracture Properties Workshop Presentation

This is a presentation on the Evolution of Permeability and Strength Recovery of Shear Fractures Under Hydrothermal Conditions project by the U.S. Geological Survey, presented by Dr. David Lockner. The project's objective was to determine how thermal, hydraulic, mechanical, and ch...

Lockner, D. et al United States Geological Survey

Sep 08, 2023
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Chlorite, Biotite, Illite, Muscovite and Feldspar Dissolution Kinetics at Variable pH and Temperatures up to 280 deg C

Chemical reactions pose an important but poorly understood threat to EGS long-term success because of their impact on fracture permeability. This report summarizes the dissolution rate equations for layered silicates where data were lacking for geothermal systems. Here we report ...

Carroll, S. et al Lawrence Livermore National Laboratory

Feb 24, 2017
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GEOTHERM Data Set

GEOTHERM is a comprehensive system of public databases and software used to store, locate, and evaluate information on the geology, geochemistry, and hydrology of geothermal systems. Three main databases address the general characteristics of geothermal wells and fields, and the c...

Bliss, J. and Rapport, A. United States Geological Survey

Apr 29, 1983
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Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Raw Data

**Overview** The data provide vertical mean profiles of wind and temperature. **Data Details** * Data averaged over an interval of 30 minutes. * Time stamp is included in each data file. * Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751). * Site Elevat...

Fernando, J. et al Wind Energy Technologies Office (WETO)

Dec 01, 2015
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Utah FORGE 5-2419: Temperature Testing of Proppants for EGS and Stimulation of Electromagnetic Fracture Mapping Using Electrically-Conducive Proppants 2024 Annual Workshop Presentation

This is a presentation on the Temperature Testing of Proppants for EGS and Stimulation of Electromagnetic Fracture Mapping Using Electrically-Conducive Proppants by Stevens Institute of Technology, presented by Cheng Chen. This video slide presentation discusses well controlled la...

Chen, C. et al Energy and Geoscience Institute at the University of Utah

Sep 14, 2024
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Utah FORGE: Well 16A(78)-32 Core-Flooding Experiment Results

This dataset contains core-flood experimental results from the Utah FORGE project, generated through laboratory tests at Lawrence Livermore National Laboratory. The experiments were conducted at temperatures of 100C and 200C using core samples from the 16A(78)-32 well. The primary...

Smith, M. et al Lawrence Livermore National Laboratory

Apr 04, 2024
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Utah FORGE: EGS Reservoir Produced Fluids Geochemistry 2022-2024

This dataset contains geochemical analyses of produced fluids from the Utah FORGE site, specifically from wells 16A(78)-32, 16B(78)-32, and 58-32, collected during various stimulation, flowback, and circulation tests conducted between 2022 and 2024. The data contains element conce...

Simmons, S. et al Energy and Geoscience Institute at the University of Utah

Feb 26, 2025
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Utah FORGE 5-2428: Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior Workshop Presentation

This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemic...

Kroll, K. et al Lawrence Livermore National Laboratory

Sep 08, 2023
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Utah FORGE 5-2557: Trixial Shear and Wellbore Breakout Tests Report and Data

Included are a report and data from triaxial shear tests on simulated Sierra White fault gouge and a borehole stimulation experiment. This serves as a progress report for the Role of Fluid and Temperature in Fracture Mechanics and Coupled Thermo-Hydro-Mechanical-Chemical (THMC) P...

Choens, C. and Yoon, H. Sandia National Laboratories

Apr 19, 2023
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USDA Census of Irrigation

The 2018 Irrigation and Water Management Survey (formerly called the Farm and Ranch Irrigation Survey) is a follow-on to the 2017 Census of Agriculture by the U.S. Department of Agriculture (USDA). This survey provides the only comprehensive information on irrigation activities an...

Census of Irrigation, U. U.S. Department of Agriculture

Oct 19, 2020
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Unified Field Study 2 (UFS-2)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the second Unified Field Study (UFS-2), performed April...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
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Unified Field Study 7 (UFS-7)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the seventh Unified Field Study (UFS-7), performed June...