Oak Ridge National Laboratory

Results 1–25 of 32
Current Filters Clear all

A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Concept Laser M2 Laser Powder Bed Fusion (L-PBF) stainless steel 316L build. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National Laboratory (ORNL). The dataset includes layer-wise...

A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Arcam Q10 Electron Beam Powder Bed Fusion (EB-PBF) Inconel 738 build. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National Laboratory (ORNL). The dataset includes layer-wise Near...

A Co-Registered In-Situ and Ex-Situ Dataset of Electrical, Acoustic, and CT Characteristics from Wire Arc Additive Manufacturing Process
Post, August 7, 2026 • (Oak Ridge National Laboratory) Recent progress in sensing techniques and data analytics tools have significantly accelerated the development of Wire Arc Additive Manufacturing (WAAM) systems. This data centric approach emphasizes leveraging available data throughout the production process to optimize performance. Integration of extensive data analysis provides the opportunity to improve...

A Co-Registered In-Situ and Ex-Situ Tensile Properties Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-11)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This release contains a co-registered in-situ and ex-situ Peregrine dataset from five Concept Laser M2 Laser Powder Bed Fusion (L-PBF) stainless steel 316L builds containing 6,299 SS-J3 individually tracked tensile coupons. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National...

Advanced Manufacturing of Thermal Protection System Tiles for Space Plane Atmospheric Reentry
Post, August 7, 2026 • (Oak Ridge National Laboratory, Sierra Space Corporation) Thermal protection systems (TPS) constitute a major material, engineering, and manufacturing challenge for space access. Atmospheric re-entry generates very high heats and requires advanced materials to withstand such conditions. Combining the required materials and integrating them into the vehicle is a major engineering...

AMVOS: Additive Manufacturing Video Object Segmentation Dataset
Post, August 7, 2026 • (Oak Ridge National Laboratory) This dataset provides labeled video frames from four additive manufacturing (AM) processes for video object segmentation (VOS) tasks. It contains 90 video segments comprising 900 individually annotated frames across five AM datasets: laser hot-wire directed energy deposition (LHW-DED), tungsten inert gas wire arc additive manufacturing (TIG-WAAM),...

Artificial Intelligence-Enhanced CMIP6 Climate Projections Across the Conterminous United States
Post, September 29, 2026 • (Oak Ridge National Laboratory) This dataset comprises high-resolution climate projections at 1/24 degree grid (~4km) over the conterminous United States (CONUS) based on ten Global Climate Models (GCMs) that are part of the Coupled Models Intercomparison Project phase 6 (CMIP6). The CMIP6 GCMs are downscaled using two artificial intelligence (AI)...

ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols, Version 2
Post, September 29, 2026 • (Oak Ridge National Laboratory, National Aeronautics and Space Administration) This dataset provides information on greenhouse gases and human-produced air pollution, including atmospheric concentrations of carbon dioxide (CO2), methane (CH4), tropospheric ozone (O3), and black carbon (BC) aerosols, collected during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. This dataset...

Data Sets for Evaluation of Building Fault Detection and Diagnostics Algorithms
Post, September 29, 2026 • (Lawrence Berkeley National Laboratory) This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NLR, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's...

Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios
Post, September 29, 2026 • (Oak Ridge National Laboratory) An open-source dataset of the measured weather data, building indoor data, and system data under the different test settings. The test building is the two-story Flexible Research Platform building at the US Department of Energy’s Oak Ridge National Laboratory, in Oak Ridge, Tennessee. Four heating tests...

Dynamic Temporal Graph Sequence Data for Resilience-Oriented Distribution Network Reconfiguration
Post, September 29, 2026 • (Oak Ridge National Laboratory) This dataset comprises temporal dynamic graph sequences generated from power grid simulations focused on grid reconfiguration to enhance resilience. The simulations model failure propagation under varying conditions, with nodes assigned distinct failure probabilities. For each time step, the dataset captures the evolution of node states (functional...

EAGLE-I Power Outage Data 2014-2022
Post, September 29, 2026 • (Oak Ridge National Laboratory) The provided EAGLE-I historic dataset includes eight years of power outage information at the county level from 2014 to 2022 at 15-minute intervals collected by the EAGLE-I program at ORNL. The data has been collected from utility's public outage maps using an ETL process. The dataset...

EAGLE-I Power Outage Data 2025
Post, September 29, 2026 • (Oak Ridge National Laboratory) The provided EAGLE-I historic dataset includes power outage information at the county level for 2025 at 15-minute intervals collected by the EAGLE-I program at ORNL. The data has been collected from utility's public outage maps using an ETL process. The dataset details FIPS code, county name,...

Frontier HPC & Facility Data
Post, September 29, 2026 • (Oak Ridge National Laboratory) The Hewlett Packard Enterprise–Cray EX Frontier is the world’s first and fastest exascale supercomputer, hosted at the Oak Ridge Leadership Computing Facility in Tennessee, United States. Frontier is a significant electricity consumer, drawing 8–30 MW; this massive energy demand produces significant waste heat, requiring extensive cooling measures....

Future Typical Meteorological Year (fTMY) US Weather Files for Building Simulation
Post, September 25, 2025 • (Oak Ridge National Laboratory) As global emissions and temperatures continue to rise, global climate models offer projections as to how the climate will change in years to come. These model projections can be used for a variety of end-uses to better understand how current systems will be affected by the...

Handbook of Advanced Manufactured Material Properties From TCR Structure Builds at ORNL (FY2019)
Post, August 7, 2026 • (Oak Ridge National Laboratory, Argonne National Laboratory) There is growing interest in the use of additive manufacturing techniques for the production and deployment of components for nuclear power applications. Specifically, the Transformational Challenge Reactor (TRC) program seeks to demonstrate the application of advanced manufacturing to rapidly develop and deploy a...

Handbook on the Material Properties of FeCrAl Alloys for Nuclear Power Production Applications (FY18 Version: Revision 1)
Post, August 7, 2026 • (Oak Ridge National Laboratory, Brookhaven National Laboratory) FeCrAl alloys are a class of alloys that have seen increased interest for nuclear power applications including accident tolerant fuel cladding, structural components for fast fission reactors, and as first wall and blanket structures for fusion reactors. FeCrAl alloys are under consideration for...

High fidelity actuator line data from 9 turbine wind farm simulations using ExaWind
Post, September 29, 2026 • (Oak Ridge National Laboratory) This data was generated with the ExaWind code suite (https://github.com/Exawind) to investigate the performance of different Active Wake Mixing turbine control in a wind farm situated in a stable atmospheric boundary layer. All cases correspond to a 3x3 wind farm in a 10km x 10km domain...

HydraGNN_OPF_GFM_2026 – Ensemble of predictive graph foundation models for power grid applications
Post, September 29, 2026 • (Oak Ridge National Laboratory) This dataset supports research on graph foundation models for optimal power flow (OPF) on electric grids using HydraGNN. It contains heterogeneous graph representations of PGLib-OPF cases spanning systems from 14 to 13,659 buses, together with packed HDF5 datasets for pretraining, feasibility classification, and N-1 contingency analysis....

In situ Visible Light and Thermal Imaging Data from a Laser Powder Bed Fusion Additive Manufacturing Process Co-Registered to X-ray Computed Tomography and Fatigue Data
Post, August 7, 2026 • (Oak Ridge National Laboratory) This dataset is comprised of in situ sensing data collected during a laser-based powder bed fusion additive manufacturing process, as well as rasterized scan path information, post-build X-ray computed tomography (XCT), and fatigue test results. A total of 64 cylinders, approximately 15 mm in diameter and...

Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2021-03)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This dataset contains layer-wise powder bed images from three different powder bed printing technologies: laser powder bed fusion, electron beam powder bed fusion, and binder jetting. This dataset was collected and annotated using the internally-developed Peregrine software tool and is designed primarily to facilitate research into...

Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2022-10.1)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This release consists of six datasets which together include multi-modal layer-wise powder bed images from two different powder bed printing technologies. These datasets are designed primarily to facilitate the development and testing of new computer vision and machine learning based anomaly and defect detection algorithms. The...

Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2022-10)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This release consists of six datasets which together include multi-modal layer-wise powder bed images from two different powder bed printing technologies. These datasets are designed primarily to facilitate the development and testing of new computer vision and machine learning based anomaly and defect detection algorithms. The...

Long Term Per-Component Power and Thermal Measurements of the OLCF Summit System
Post, September 29, 2026 • (Oak Ridge National Laboratory) As we move into the exascale era, the power and energy footprints of high-performance computing (HPC) systems have grown significantly larger. Due to the harsh power and thermal conditions the system, components are exposed to extreme operating conditions. Operation of such modern HPC systems requires deep...
Results 1–25 of 32