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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
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Reference Model 1 Full Scale Geometry (RM1: Tidal Current Turbine)

Contains the Reference Model 1 (RM1) full scale geometry files of the Tidal Current Turbine, developed by the Reference Model Project (RMP). These full scale geometry files are saved as SolidWorks assembly, X_T, IGS, and STEP files, and require a CAD program to view. This data was...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
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Wave Energy Prize 1/50th Testing Float Inc. BergerABAM Rho-Cee Hybrid WEC

This submission of data includes all the 1/50th scale testing data completed on the Wave Energy Prize for Float Inc. During the testing of its 1/50th-scale device, Float Inc. Berger ABAM was deemed ineligible due to the fact that they brought a device with them to test and did no...

Scharmen, W. Ricardo Detroit Technical Center

Jan 15, 2016
13 Resources
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Next Generation RivGen Power System: Kvichak River, AK Overwinter Ice Study

The University of Alaska Fairbanks (UAF) Alaska Hydrokinetic Energy Research Center was tasked with developing a real-time data telemetry / remote power generation system to monitor frazil ice conditions in the Kvichak River in support of the U.S. Department of Energy funded "Next...

Kasper, J. et al Igiugig Village Council

Oct 04, 2017
5 Resources
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Focusing Wave Energy for Wave Energy Converter Applications

Wave tank tests at Stevens Institute of Technology quantified the ability of near-surface platforms to concentrate wave energy over the platform. Due to the instantaneous change in water depth, mass, energy, and power are conserved in this process. The energy and power concentrat...

Raftery, M. Martin and Ottaway

Aug 10, 2010
7 Resources
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GeoRePORT 2.0

Version 2 of the GeoRePORT protocols and excel-based reporting tools. Software allows users to grade the geologic, technical, and socio-economic conditions at a geothermal resource location for both electricity generation and direct-use. Includes tool and protocols for: * Geologic...

Kolker, A. et al National Renewable Energy Laboratory

Mar 25, 2022
9 Resources
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REE Sorption Study of Seived 50 +100 Mesh Fraction of Media 1 in Brine 1 at Different Concentrations of REE at 70C

This dataset shows the sorption capacities of smaller grain size (-50 +100 mesh) of media #1 in brine #1 at different starting concentrations of REE's at elevated temperature of 70C. The experimental conditions are 2g of 50 +100 mesh media #1 to 150mL of REE solution at concentrat...

Garland, G. Tusaar Corp.

Jun 29, 2015
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Brady's Geothermal Field DAS Vibroseis Data

The submitted data correspond to the monitored vibrations caused by a vibroseis seismically exciting the ground in the vertical direction and captured by the DAS horizontal and vertical arrays during the PoroTomo Experiment. The data also include a file with the acceleration recor...

Feigl, K. University of Wisconsin

Mar 25, 2016
11 Resources
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Membrane Specifications for Multi-Configuration Membrane Distillation Model

The data includes the membrane properties and specifications used for multi-configuration membrane distillation desalination. In this study, membranes from CLARCOR, 3M, and Aquastill are tested in counter-current, co-current and air-gap configurations at Colorado School of Mines (...

Villa, D. et al National Renewable Energy Laboratory

Mar 01, 2018
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
3 Resources
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Utah FORGE Well 58-32 Granite Core Thermal Properties Test Results Report (Oct. 2021)

This is a presentaiton from Metarock Laboratories on the thermal properties of Utah FORGE well 58-32 granite core. The presentation includes pictures of core samples, core details for the samples (sample depths and size), sample thermal expansion test results, and radial velocity ...

Laboratories, M. Energy and Geoscience Institute at the University of Utah

Oct 29, 2021
1 Resources
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Utah FORGE: Video of Utah FORGE Drilling Planning for Production Well 16B(78)-32

This is a YouTube video containing the specifics of well planning for Utah FORGE 16B(78)-32. This well will be drilled as a doublet approximately 300 feet parallel to and above 16A(78)-32 and will be drilled between approximately April 15th and July 17th 2023.

McLennan, J. Energy and Geoscience Institute at the University of Utah

Mar 03, 2023
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Utah FORGE Seismic Stations and Wells GPS Survey Data, 2021

This is a CSV spreadsheet containing UTM and Latitude and Longitude coordinates and elevations for Wells 78-32, 58-32, and 16A(78)-32 and BOR1, BOR2, BOR3, FOR2, FOR5, FORK, FORU, and FORW seismic stations. These are from a GPS survey conducted by the Utah Geological Survey in Jun...

Erickson, B. Utah Geological Survey

Jun 30, 2021
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Utah FORGE Updated Well, Well Pad, and Seismic Station GPS Coordinates December, 2021

This is a CSV spreadsheet containing UTM and Latitude and Longitude coordinates and elevations for Wells 78-32, 78B-32, 56-32, 58-32, 68-32, and 16A(78)-32 and seismic stations BOR1, BOR2, BOR3, FOR1, FOR2, FOR5, FOR6, FOR 7, FOR8, FORK, FORU, FORW, and FORB. These are from a GPS ...

Erickson, B. Utah Geological Survey

Dec 13, 2021
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Walker Ranch 3D Seismic Images

Amplitude images (both vertical and depth slices) extracted from 3D seismic reflection survey over area of Walker Ranch area (adjacent to Raft River). Crossline spacing of 660 feet and inline of 165 feet using a Vibroseis source. Processing included depth migration. Micro-earthqua...

J., R. Lawrence Livermore National Laboratory

Mar 01, 2016
2 Resources
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Utah FORGE: Rock Properties

This is an Excel spreadsheet that contains rock properties from several wells in the Utah FORGE study area. This includes a map of the wells. Data is described in the Final Topical Report included in the resources below.

Gwynn, M. Energy and Geoscience Institute at the University of Utah

Apr 07, 2018
2 Resources
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United States Renewable Energy Technical Potential

Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints. The primary benefit of assessing technical potential...

Lopez, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
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Utah FORGE: Microseismic Events

This archive contains Excel spreadsheets containing microseismic events detected in the study area during Utah FORGE Phase 2C. The Readme file included that describes the meaning of the abbreviations used as field headers in the spreadsheets. Additionally, there is a .dat (text) f...

Rutledge, J. Energy and Geoscience Institute at the University of Utah

Jul 08, 2019
2 Resources
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Utah FORGE: InSAR Data

This is the InSAR dataset used in Utah FORGE Phase 2C to augment ground deformation monitoring. It is accompanied by a README.txt file which contains an explanation of the data in the .zip archive.

Feigl, K. et al Energy and Geoscience Institute at the University of Utah

Jul 01, 2019
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
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Utah FORGE Core Material Friction Experiments

The following folders contain 3 friction experiments on Utah FORGE core material from depths of 6735 8533ft. The experiment conditions range from 100% relative humidity at room temperature to fluid-saturated at 110C. Experiments were done on both intact samples in a single-direct ...

Marone, C. et al The Pennsylvania State University

Mar 15, 2023
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Filenames of Data from the Distributed Acoustic Sensing Experiment at Garner Valley, California

In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission lists all file names from Distributed Acoustic Sensing (DAS) data collected...

Lancelle, C. et al University of Wisconsin

Jul 01, 2015
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Utah FORGE: Stress Logging Data

This spreadsheet consist of data and graphs from deep well 58-32 stress testing from 6900 7500 ft depth. Measured stress data were used to correct logging predictions of in situ stress. Stress plots shows pore pressure (measured during the injection testing), the total vertical in...

McLennan, J. Energy and Geoscience Institute at the University of Utah

Mar 14, 2018
1 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
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Unified Field Study 3 (UFS-3)

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 third Unified Field Study (UFS-3), performed June t...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 29, 2016
24 Resources
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