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Federal
National Training Center
Department of Energy —
National Training Center provides for the infrastructure and applications necessary to develop and deliver safety and security training courses across the department. -
Federal
EA Web Services (EAWS)
Department of Energy —
IEA Web Services (EAWS) provides for the maintenance of content for EA information on Energy.Gov, Powerpedia. -
Federal
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
Department of Energy —
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of... -
Federal
Water DAMS Data Management and Best Practices for Submitters and Curators
Department of Energy —
Resources for Water DAMS data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of Water DAMS.... -
Federal
OEDI Data Management and Best Practices for Submitters and Curators
Department of Energy —
Resources for OEDI data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of OEDI. The Data... -
Federal
EHSS Web Services
Department of Energy —
EHSS Web Services (AUWS) provides for the maintenance of content for EHSS information on Energy.Gov, Powerpedia and the EHSS intranet. -
Federal
GDR Data Management and Best Practices for Submitters and Curators
Department of Energy —
Resources for GDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the GDR. The Data... -
Federal
MHKDR Data Management and Best Practices for Submitters and Curators
Department of Energy —
Resources for MHKDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the MHKDR. The Data... -
Federal
BUTTER - Empirical Deep Learning Dataset
Department of Energy —
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen...