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Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...

Buster, G. et al National Renewable Energy Laboratory (NREL)

Apr 19, 2023
7 Resources
2 Stars
Publicly accessible

Multiple Scalar Mixing

This dataset contains high-fidelity numerical simulation data of three-component passive scalar mixing in statistically isotropic turbulence. This dataset is designed to study the fundamental physics governing industrial combustion systems. The temporal evolution of the mixture is...

Yellapantula, S. et al National Renewable Energy Laboratory (NREL)

Sep 03, 2026
1 Resources
0 Stars
Awaiting curation

Caerbannog Point Clouds

The Caerbannog Point Clouds provide point-sampled 3D models occluded in clouds of points. We synthesized the 3D point clouds from polygonal models, point-sampling the models and surrounding them in a point cloud such that the shape of the model is occluded in any 2D projection. We...

Raghupathi, S. et al National Renewable Energy Laboratory

Dec 01, 2020
6 Resources
0 Stars
Publicly accessible

Dataset of Generative AI Workload Power Profiles

This dataset provides a collection of high-resolution (5/10 Hz or every 0.2/0.1 seconds) power consumption profiles for generative artificial intelligence (GenAI) workloads executed on NLR's High Performance Computing (HPC) platform Kestrel. The dataset also includes examples of r...

Vercellino, R. et al National Laboratory of the Rockies

Mar 31, 2026
1 Resources
0 Stars
Publicly accessible

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 National Renewable Energy Lab (NREL)

Oct 16, 2024
4 Resources
0 Stars
Publicly accessible

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

Dataset for H2SAFE Controlled Gas Releases and Sensor-Response for Indoor Hydrogen Safety

This dataset was developed to support hydrogen safety research by using helium as a nonflammable surrogate for hydrogen in controlled indoor release experiments. The data were collected in two full-scale indoor laboratory enclosures, identified as Lab-1 and Lab-2, to characterize ...

Peaslee, D. et al National Laboratory of the Rockies

Oct 05, 2026
3 Resources
0 Stars
Publicly accessible