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Wet Chemical Compositional and Near IR Spectra Data Sets for Biomass

Near-infrared (NIR) calibration models are created by applying multivariate calibration methods to the combination of wet chemistry data and NIR spectra of a given set of biomass samples. Wet chemical compositional data and NIR spectra exist for the following types of biomass samp...

Wolfrum, E. National Renewable Energy Laboratory

Nov 22, 2019
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University of Illinois Campus Deep Direct-Use Feasibility Study Geological Characterization of the Mt. Simon Sandstone

These studies undertook detailed analyses of the Mt. Simon Sandstone in the Illinois Basin for geological storage and sequestration, and brine extraction.

Lin, Y. et al University of Illinois

Mar 30, 2018
5 Resources
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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
4 Resources
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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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Chlorite Dissolution Rates From 25 to 275 degrees and pH 3 to 10

We have calculated a chlorite dissolution rate equation at far from equilibrium conditions by combining new data (20 experiments at high temperature) with previously published data Smith et al. 2013 and Lowson et al. 2007. All rate data (from the 127 experiments) are tabulated in...

Lawrence Livermore National Laboratory

Sep 27, 2013
2 Resources
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Self-charging Zn-polymer Battery

This dataset supports the development and characterization of a bio-catalyzed oxidation self-charging zinc-polymer (Zn-PANI) battery system. The study introduces hemoglobin (Hb) as a catalytic additive in the polyaniline (PANI) cathode to enhance the autoxidation-driven self-charg...

Fan, H. et al Nanyang Technological University

Feb 01, 2024
2 Resources
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Retrospective Analysis of Geothermal Mineral Recovery and Domestic Resource Assessment References

This reference database in RIS format contains all of the references that were collected as part of our retrospective analysis of geothermal mineral recovery (REE and Li) activities and domestic resource assessment. The outputs detail the chemistry and molecular processes used in ...

Dobson, P. and Stringfellow, W. Lawrence Berkeley National Laboratory

Oct 20, 2021
4 Resources
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Reactive Transport Modeling of Aquifer Thermal Energy Storage System at Stockton, NJ

This is the modeling data (input/output files of TOUGHREACT 4.10) used to simulate the reactive transport processes of the Aquifer Thermal Energy Storage (ATES) operations at Stockton University, NJ. Readme.txt lists all the files. TOUGHREACT 4.10 requires to reproduce the modelin...

Kumar, R. et al Lawrence Berkeley National Laboratory

Oct 20, 2021
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Project Hotspot Petrology, Geochemistry and Stratigraphy of the Kimama core hole, Snake River Plain, Idaho

This submission contains links to two open source published papers on the Kimama core hole, Project Hotspot. "Volcanic stratigraphy and age model of the Kimama deep borehole (Project Hotspot)" Basalts erupted in the Snake River Plain of central Idaho and sampled in the Kimama dri...

Shervais, J. et al Utah State University

Mar 19, 2019
2 Resources
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Literature Collection for the Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers

This submission contains links to multiple publications on the Evaluation Of Physics-Based Drilling and Alternative Bit Design At The Geysers. The long-term goal of the project was to safely implement oil and gas industry drilling best-practices, particularly with respect to limit...

Wriedt, J. Geysers Power Company, LLC

Jan 20, 2026
6 Resources
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University of Illinois Campus Deep Direct-Use Feasibility Study Regional Geology

Links to papers and reports describing the structure and character of the Illinois Basin geology. Included are descriptions of the two reservoirs that are being modeled for the DDU feasibility project at University of Illinois, the St. Peter and Mt. Simon Sandstones.

Lin, Y. et al University of Illinois

Mar 30, 2018
4 Resources
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TEAMER: OSU X Hinsdale & Sandia LUPA Uncertainty Testing

This processed data is from TEAMER testing through RFTS 7 at the O.H. Hinsdale Wave Research Laboratory in Corvallis, Oregon. This testing was conducted by Oregon State University (OSU) and Sandia National Laboratories in October and November 2023. The Laboratory Upgrade Point Abs...

Robertson, B. et al Oregon State University

Oct 19, 2023
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Practices Maintain Straight Hole in Crooked Hole Conditions, While Also Enabling Significant Gains in Drill Rate

Bottom hole assembly (BHA) designs were assessed in field trials for their ability to achieve critical low inclination requirements, while simultaneously enabling high drill rates. Because angle has historically been controlled by reducing weight on bit (WOB), these are often com...

Knudsen, S. et al Sandia National Laboratories

Apr 30, 2014
2 Resources
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StingRAY Structural Optimization Final Technical Report Appendices

The protected data appendices to the public Final Technical Report. The overall project objective is to materially decrease the leveled cost of energy (LCOE) of the Columbia Power (CPower) StingRAY utility-scale wave energy converter (WEC). This will be achieved by reducing stru...

Lenee-Bluhm, P. Columbia Power Technologies, Inc.

Aug 05, 2020
16 Resources
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Tracking the Sun

Berkeley Lab's Tracking the Sun report series is dedicated to summarizing installed prices and other trends among grid-connected, distributed solar photovoltaic (PV) systems in the United States. The present report, the 11th edition in the series, focuses on systems installed thro...

Barbose, G. and Darghouth, N. Lawrence Berkeley National Laboratory (LBNL)

Oct 01, 2019
6 Resources
1 Stars
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Ocean Thermal Energy Conversion (OTEC) Datasets

The data presented here were collected from the Ocean Thermal Extractable Energy Visualization (OTEEV) project. The OTEEV project focused on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources. This project explored the feasibili...

Langle, N. et al National Renewable Energy Laboratory

Nov 25, 2014
10 Resources
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Low-Temperature Hydrothermal Resource Potential Estimate

Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessibl...

Mullane, M. et al National Renewable Energy Laboratory

Jun 30, 2016
4 Resources
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Utah FORGE: Neubrex Well 16B(78)-32 DAS Data April 2024

This dataset comprises Distributed Acoustic Sensing (DAS) data collected from the Utah FORGE monitoring well 16B(78)-32 (the producer well) during hydraulic fracture stimulation operations conducted in April 2024. The data were acquired continuously over the stimulation period at ...

Jurick, D. et al Neubrex Energy Services (US), LLC

Oct 01, 2024
4 Resources
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CODAS Data from Oliktok Point, Beaufort Sea, Alaska

Cryosphere/Ocean Distributed Acoustic Sensing (CODAS) data collected from the Beaufort Sea, Alaska, using ~37.4 km of dark telecommunications fiber located at Oliktok Point, Alaska. Data were collected with a Silixa iDAS, using 10 m gauge length, 2 m spatial resolution, and 1000 H...

Baker, M. and Abbott, R. Sandia National Laboratories

Aug 08, 2023
23 Resources
1 Stars
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 Resources
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TEAMER: Over-voltage Protection of Direct Drive Wave Power System (WPS) Electrical Components Public Release

Public data, results, and final report from a study on methods to design and optimize an over-voltage protection (OVP) system for a floating, two-body Wave Power System (WPS). The work has been performed by assessing the conditions under which hydrodynamically induced transient ov...

Swindler, S. et al Cardinal Engineering

May 01, 2026
10 Resources
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Simulated Load Profiles for DOE Commercial Reference Buildings (17 Years Using NSRDB Data)

This data set consists of simulated load profiles (1998-2014, 30 minute profile) for commercial customers using the Pacific Northwest National Laboratory residential prototype building models and the US Department of Energy's (DOE) commercial reference building models made for Ene...

Darghouth, N. et al Lawrence Berkeley National Laboratory

Sep 16, 2016
23 Resources
1 Stars
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Unified Field Study 6 (UFS-6)

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 sixth Unified Field Study (UFS-6), performed March ...

Wolfrum, E. et al National Renewable Energy Laboratory

Oct 20, 2017
24 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...

Beckers, K. et al National Renewable Energy Laboratory

Oct 20, 2021
6 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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