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Federal
TEAMER: Long Island Sound Tidal Resource Assessment Geodatabase Model
Department of Energy —
This submission includes the Long Island Sound (LIS) Tidal Energy Resource Geodatabase developed collaboratively by Integral Consulting Inc. and Future Island Impact... -
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
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
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
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
Community Geothermal: Connecticut Workforce Needs Assessment Report and Data
Department of Energy —
Included here is a geothermal industry workforce needs assessment report for Connecticut. As part of the DOE-funded Community Geothermal Heating and Cooling Design... -
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...