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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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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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6 Resources
1 Stars
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Big Box Retail Grocery Store and Electric Vehicle Station Load Profiles
This dataset includes yearlong, one-minute resolution time series profiles for the big box retail grocery stores stores simulated in Phoenix, Houston, Denver, and Minneapolis, as well as electric vehicle charging time series profiles for the various ports, charging levels, and sta...
Gilleran. . et al National Renewable Energy Laboratory
Oct 22, 2021
3 Resources
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3 Resources
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Microwave Radiometer UND Radiometrics MWR, Rufus Reviewed Data
**Overview**
Reviewed dataset that also includes post-reprocessed level1 and level2 data files from November 2015 to May 2016 (refer to "Additional Information").
Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) u...
Leo, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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1 Resources
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Hawaii Play Fairway Analysis: Gravity Model
Gravity model for the state of Hawaii. Data is from the following source:
Flinders, A.F., Ito, G., Garcia, M.O., Sinton, J.M., Kauahikaua, J.P., and Taylor, B., 2013, Intrusive dike complexes, cumulate cores, and the extrusive growth of Hawaiian volcanoes: Geophysical Research Let...
Lautze, N. University of Hawaii
Dec 15, 2015
1 Resources
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1 Resources
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U. S. Department of Energy's Compliance Certification Database
The Certification Database houses certification reports and compliance statements submitted by manufacturers for covered products and equipment subject to Federal conservation standards. The new database offers users an easy-to-use search function for existing records in an easily...
Armstrong, A. and (DOE), U. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
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In curation
1 Resources
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In curation
Performance Data from a 1-Meter Cross-flow Turbine with High Deflection Hydrofoils
Performance data of a 1-meter diameter cross-flow tidal turbine consisting of three NACA 0018 blades with two support struts with high deflection hydrofoils. Data was collected at the University of New Hampshire Jere A. Chase Ocean Engineering Lab within the tow tank. Three turbin...
Marone, N. et al University of New Hampshire, Atlantic Marine Energy Center (AMEC)
Jul 21, 2021
4 Resources
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4 Resources
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U.S. Offshore Oil and Gas Operations Reports (1996 2010)
The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) publishes data from the Oil and Gas Operations Reports (OGOR) for the Gulf of Mexico OCS Region. The datasets include: annual well production (OGOR-A), lease disposition (O...
Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory
Dec 15, 2010
7 Resources
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In curation
7 Resources
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In curation
RivGen Deployment Control System Specifications and Models, Igiugig, AK
Control System simulation models, case studies, and processing codes for analyzing field data. Raw data files included from VFD and SCADA.
MatLab and Simulink are required to open some data files and all model files.
Forbush, D. et al Ocean Renewable Power Company
Mar 21, 2016
2 Resources
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2 Resources
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Performance data for an axial-flow turbine with passive adaptive blades
To support the development of simulation tools for passive adaptive turbine rotors, an experimental data set from a laboratory-scale axial-flow turbine with passive adaptive blades is provided. The 0.45-meter diameter turbine was tested in the Alice C. Tyler Flume at the Universit...
Van Ness, K. et al University of Washington
May 01, 2024
1 Resources
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1 Resources
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Fort Bliss Geothermal Area Data: Temperature Profile, Logs, Schematic Model and Cross Section
This dataset contains a variety of data about the Fort Bliss geothermal area, part of the southern portion of the Tularosa Basin, New Mexico. The dataset contains schematic models for the McGregor Geothermal System, a shallow temperature survey of the Fort Bliss geothermal area. ...
Brandt, A. University of Utah
Nov 15, 2015
14 Resources
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14 Resources
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Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)
Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes model...
Buster, G. et al National Renewable Energy Lab (NREL)
Oct 16, 2024
2 Resources
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2 Resources
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Test Report for Detonation Velocity Measurements
Test report for detonation velocity measurements. A series of tests were conducted to determine reaction rate and general behavior of aluminum (AL) and magnesium (MG) powder mixtures (metalized explosives) with Bullseye double-base smokeless propellant. Given the indeterminate sen...
Grubelich, M. Sandia National Laboratories
Jan 13, 2014
1 Resources
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1 Resources
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AquaPV: Foundational Analysis and Industry Guidance on Floating PV Results
This dataset contains results of the technical potential analysis of floating photovoltaics (FPV) on federally owned or permitted reservoirs in the United States.
Estimates of the area of reservoirs that is technically feasible for FPV development are provided for reservoirs that...
Rosenlieb, E. et al National Renewable Energy Lab
Nov 08, 2024
3 Resources
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3 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 FontaniniNational Renewable Energy Laboratory
Jan 12, 2021
1 Resources
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1 Resources
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Water DAMS Data Management and Best Practices for Submitters and Curators
Resources for Water DAMS data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of Water DAMS. The Data Management and Submission Best Practices document also contains API access and metadata schema information ...
Weers, J. et al National Renewable Energy Laboratory
Aug 01, 2020
3 Resources
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3 Resources
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PoroTomo: Horizontal Distributed Acoustic Sensing (DAS) Measurements During an M 2.3 Explosion
Included here are Distributed Acoustic Sensing (DAS) data collected by the horizontal DAS array at Brady's Hot Springs Geothermal Field. The system recorded this data during an M 2.3 explosion at the Nevada Test Site (NTS), which is located approximately 400km southeast of the fie...
Kratt, C. et al Center for Transformative Environmental Monitoring Programs (CTEMPs)
Dec 18, 2018
5 Resources
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5 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
4 Resources
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4 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
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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
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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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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
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Publicly accessible
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.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
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1 Resources
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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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6 Resources
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