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11 to 20 of 63 Results
Data for: An Active Learning Workflow for Predicting Misfit Volume in Body-Centered Cubic Refractory High-Entropy Alloys
Mar 23, 2026 - Materials Informatics Group
Liu, Shunshun; Balachandran, Prasanna V., 2026, "Data for: An Active Learning Workflow for Predicting Misfit Volume in Body-Centered Cubic Refractory High-Entropy Alloys", https://doi.org/10.18130/V3/AD6H08, University of Virginia Dataverse, V1
Data for: An Active Learning Framework for Predicting Misfit Volume in Body-Centered Cubic Refractory High-Entropy Alloys. This repository contains relaxation trajectories for all BCC HEA crystal structures, and 11 template SQS structures.
Materials Informatics Group
Mar 19, 2026Department of Materials Science & Engineering
Data for: A Computational Dieke Design Map for Near-Infrared Optical Absorption in Transition Metal-Substituted Yttria-Stabilized Zirconia
Feb 13, 2026 - Materials Informatics Group
Liu, Shunshun; Clarke, David R.; Balachandran, Prasanna V., 2026, "Data for: A Computational Dieke Design Map for Near-Infrared Optical Absorption in Transition Metal-Substituted Yttria-Stabilized Zirconia", https://doi.org/10.18130/V3/9DMDUS, University of Virginia Dataverse, V1
Collection of 16 transition metal-substituted YSZ (yttria-stabilized zirconia) structure files and corresponding Yambo GW-BSE output logs, organized by dopant and nominal charge state. The crystal structure file can be used to replicate the GW-BSE calculation discussed in the manuscript, and the GW-BSE output log can be used a reference of GW-BSE c...
Data for: Application of an Optical Emission Spectroscopy Sensor Design to a Dual-Mode Scramjet Flowpath
Jan 16, 2026
Chern, Max, 2026, "Data for: Application of an Optical Emission Spectroscopy Sensor Design to a Dual-Mode Scramjet Flowpath", https://doi.org/10.18130/V3/5XIKMI, University of Virginia Dataverse, V1
Raw experimental data used for journal publication of optical emission spectroscopy sensor design and application in the UVASCF.
Replication Data for: Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models
Jan 2, 2026 - Materials Informatics Group
Liu, Shunshun; Booth, Talon R.; Ji, Yangfeng; Reinhart, Wesley; Balachandran, Prasanna V., 2025, "Replication Data for: Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models", https://doi.org/10.18130/V3/ABITMJ, University of Virginia Dataverse, V2, UNF:6:paS6QAcYVTvf7GrPXMUGXg== [fileUNF]
Raw data and code snapshot for Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models.
NASA-TLX Workload Ratings Collected with Multiple Response Types in a UAS Search-Tracking Task
Dec 3, 2025
Bolton, Matthew; Biltekoff, Elliot; Humphrey, Laura; Taylor, Skye Solace, 2025, "NASA-TLX Workload Ratings Collected with Multiple Response Types in a UAS Search-Tracking Task", https://doi.org/10.18130/V3/97ZJNL, University of Virginia Dataverse, V1, UNF:6:ohJGgAvIpnIx3uMojc7OAw== [fileUNF]
This dataset contains ratings human subjects made using the NASA Task Load Index (NASA-TLX) that were collected as part of a within-subjects study where participants tracked points searched by an Unmanned Aerial System (UAS) in video simulations. Participants were 36 graduate engineering students (aged 22–30) who completed 36 simulation trials unde...
REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure
Nov 17, 2025 - Department of Computer Science
Kishore, Aparna, 2025, "REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure", https://doi.org/10.18130/V3/IWOVOX, University of Virginia Dataverse, V1, UNF:6:18f6sfDQqMlTGN8qnwaGLg== [fileUNF]
Integrating electric vehicles (EVs) into homes and the electrical grid introduces complex dynamics that can overwhelm planning tools. Accurately estimating hourly residential EV charging demand typically requires computationally intensive agent-based simulations that depend on large volumes of input data. Such requirements limit scalability of the...
SMAP 400m downscaled soil moisture daily data
Nov 7, 2025
Fang, Bin, 2025, "SMAP 400m downscaled soil moisture daily data", https://doi.org/10.18130/V3/IVOU1T, University of Virginia Dataverse, V1
The 400m resolution global SMAP downscaled soil moisture data was produced from a VIS/IR downscaling algorithm based on the vegetation modulated thermal inertia relationship between SM and change in LST.
Data for "Free surface dynamics of water-to-air amphibious rotor transitions"
Oct 2, 2025
Honts, Logan, 2025, "Data for "Free surface dynamics of water-to-air amphibious rotor transitions"", https://doi.org/10.18130/V3/DWXYFJ, University of Virginia Dataverse, V1
This dataset was generated to support the conclusions drawn the "Free surface dynamics of water-to-air amphibious rotor transitions" article in Journal of Fluid Mechanics. It contains .mp4 movies (with and without audio) of a representative rotor described in the manuscript, and .xlsx collections of .csv data files for convenience of analysis. The...
SMAP 400m downscaled soil moisture data
Sep 26, 2025
Fang, Bin, 2025, "SMAP 400m downscaled soil moisture data", https://doi.org/10.18130/V3/S6BXO3, University of Virginia Dataverse, V1
The 400m resolution global SMAP downscaled soil moisture data was produced from a VIS/IR downscaling algorithm based on the vegetation modulated thermal inertia relationship between SM and change in LST.
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