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Utah FORGE: Beaver Basin Wildcat Well Lu Lu State #1 Dip Meter and Neutron Density Logs

This dataset contains Schlumberger dip meter and neutron density logs for Lu Lu State #1 wild cat well which is located in the Beaver Basin, Beaver County, Utah. There is also a text file with well location coordinates.
Schlumberger, S. Energy and Geoscience Institute at the University of Utah
Oct 08, 2018
1 Resources
0 Stars
Publicly accessible

Indiana High Resolution Wind Resource

Annual average wind resource potential for the state of Indiana at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was gener...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Kansas High Resolution Wind Resource

Annual average wind resource potential for the state of Kansas at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was genera...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Kentucky High Resolution Wind Resource

Annual average wind resource potential for the state of Kentucky at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was gene...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Massachusetts High Resolution Wind Resource

Annual average wind resource potential for the state of Massachusetts at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Michigan High Resolution Wind Resource

Annual average wind resource potential for the state of Michigan at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gene...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Missouri High Resolution Wind Resource

Annual average wind resource potential for the state of Missouri at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gene...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Nebraska High Resolution Wind Resource

Annual average wind resource potential for the state of Nebraska at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gene...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

New Hampshire High Resolution Wind Resource

Annual average wind resource potential for the state of New Hampshire at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was g...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Ohio High Resolution Wind Resource

Annual average wind resource potential for the state of Ohio at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was generat...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Oklahoma High Resolution Wind Resource

Annual average wind resource potential for the state of Oklahoma at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gene...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Rhode Island High Resolution Wind Resource

Annual average wind resource potential for the state of Rhode Island at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Tennessee High Resolution Wind Resource

Annual average wind resource potential for the state of Tennessee at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was gen...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Utah High Resolution Wind Resource

Annual average wind resource potential for the state of Utah, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefi...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Vermont High Resolution Wind Resource

Annual average wind resource potential for the state of Vermont at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gener...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Northwest National Marine Renewable Energy Center, OR Site Selection Evaluation

Northwest National Marine Renewable Energy Center Project fishing vessel charter survey and South Energy Test Site (SETS) selection evaluation report.
Hellin, D. Northwest National Marine Renewable Energy Center
Jun 29, 2016
2 Resources
0 Stars
Publicly accessible

City and County Energy Profiles

The City and County Energy Profiles lookup table provides modeled electricity and natural gas consumption and expenditures, on-road vehicle fuel consumption, vehicle miles traveled, and associated emissions for each U.S. city and county. Please note this data is modeled and more p...
Day, M. National Renewable Energy Laboratory
Dec 20, 2019
5 Resources
1 Stars
Curated

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
0 Stars
Publicly accessible

U.S. Wind Siting Regulation and Zoning Ordinances

A machine readable collection of documented wind siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (Linked in the submission), National...
Lopez, A. et al National Renewable Energy Laboratory
Jun 30, 2022
5 Resources
1 Stars
Curated

CHP Units in Washington State

This is data taken from the website http://www.eea-inc.com/chpdata/States/WA.html on 2/3/2015 regarding the Cogeneration units in Washington State. The first book in the Excel Spreadsheet contains the data, the second book contains an explanation of the prime movers, and the third...
Huggins, J. National Renewable Energy Laboratory
Feb 02, 2015
1 Resources
0 Stars
In curation

First Results Project Hotspot Drilling

Project Hotspot drilled 3 slim hole exploratory wells in southern Idaho, each just under 2 km deep. These holes were designed to investigate thermal structure in three different settings within the Snake River Volcanic Province: (1) along the axial volcanic high of the central SRP...
Shervais, J. et al Utah State University
Mar 15, 2013
1 Resources
0 Stars
Publicly accessible

State Estimation for advanced control of wave energy converters

A report on state estimation for advanced control of wave energy converters (WECs), with supporting data models and slides from the overview presentation. The methods discussed are intended for use to enable real-time closed loop control of WECs.
Coe, R. and Bacelli, G. Sandia National Laboratories
Apr 25, 2017
6 Resources
0 Stars
Publicly accessible

Minnesota High Resolution Wind Resource

Annual average wind resource potential for Minnesota at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. ###Original data Data from [...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Utility Outage Information

Data about power company service areas and their announcements about outages are critical for the effective coordination of resources after disasters, and also for building community and neighborhood resilience. As part of the 2015 White House Mapathon, the Department of Energy's...
Weers, J. and Laboratory, N. National Renewable Energy Laboratory
Aug 28, 2015
4 Resources
0 Stars
In curation

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Zhu, T. Pennsylvania State University
May 05, 2021
4 Resources
0 Stars
Publicly accessible
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