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Coalbed Methane Resources in the Powder River Basin: Lithologic Data

The USGS investigated coalbed methane (CBM) resources in the Powder River Basin (WY) and adjacent basins in Wyoming and North Dakota. Specifically, the analysis looked at: total gas desorbed, coal quality, and high-pressure methane adsorption isotherm data from 963 cored coal samp...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Sep 29, 2010
2 Resources
0 Stars
In curation

New York State Energy Research and Development Authority Exterior Building Solutions To Insulation

TO4 8.2.2: Space Cond. for Deep Energy Retrofits The purpose of this project for the New York State Energy Research and Development Authority (NYSERDA) is to find new or improved strategies for exterior building solutions in regard to insulation that will provide extensive energy...
Beach, R. et al Ibacos Innovation
Apr 27, 2016
14 Resources
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Publicly accessible

Modeled Performance of the Hathaway Solar Patriot house Washington D.C

This Dataset contains field research raw data, analysis spreadsheet, photos, and final report from the Hathaway Solar Patriot House Building America Case Study project. This dataset details the monitored and modeled performance of a solar home outside of Washington, D.C. We model...
Norton, P. et al National Renewable Energy Laboratory
Jun 20, 2016
5 Resources
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Measured Performance of a Varied Airflow Small-Diameter Duct System

In this study, researchers with the U.S. Department of Energy's Building America team IBACOS built on research previously done in two new-construction unoccupied test houses-one in Pittsburgh, Pennsylvania (Poerschke and Stecher 2014) and one in Fresno, California (Stecher and Poe...
Poerschke, A. Ibacos Innovation
Apr 27, 2016
5 Resources
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Open Energy Information (OpenEI.org)

Open Energy Information (OpenEI) is a knowledge-sharing online community dedicated to connecting people with the latest information and data on energy resources from around the world. Created in partnership with the United States Department of Energy and federal laboratories acros...
Brodt-Giles, D. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible