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DOE User Facilities and RD Equipment

This dataset contains information about hundreds of designated user-facilities and R&D equipment funded by the U.S. Department of Energy and accessible to the private sector. These facilities reside at DOE's

Honey, K. and (DOE), U. National Renewable Energy Laboratory

Nov 25, 2014
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DOE Buildings Performance Database, sample Residential data

* This is a non-proprietary subset of DOE's Buildings Performance Database. Buildings from the cities of Dayton, OH and Gainesville, FL areas are provided as an example of the data in full database. * Sample data here is formatted as CSV * The Buildings Performance Database will...

Shah, M. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
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Office of Science (Department of Energy) User Facilities

The Office of Science national scientific user facilities provide researchers with the most advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and...

Honey, K. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
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Carbon Dioxide Information Analysis Center

The Carbon Dioxide Information Analysis Center (CDIAC) is the primary climate-change data and information analysis center of the U.S. Department of Energy (DOE). CDIAC is located at DOE's Oak Ridge National Laboratory (ORNL) and includes the World Data Center for Atmospheric Trace...

Boden, T. and Laboratory, O. Oak Ridge National Laboratory

Nov 25, 2014
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ResStock: Annual Baseline Results with Component Loads

The ResStock Analysis Tool was developed by NREL with support from the U.S. Department of Energy to provide a new approach to large-scale residential analysis by combining large public and private data sources, statistical sampling, detailed sub hourly building simulations, and hi...

Speake, A. et al National Renewable Energy Lab

Mar 03, 2023
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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 The National Renewable Energy Lab (NREL)

Oct 16, 2024
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