1 to 10 of 46 Results
Jan 21, 2025
Li, Xinyuan; Guo, Yu; Tu, Yubei; Ji, Yu; Liu, Yanchen; Ye, Jinwei; Zheng, Changxi, 2024, "Deformable Object Tracking Dataset (DOT)", https://doi.org/10.13021/ORC2020/XXLVXM, George Mason University Dataverse, V29
The Deformable Object Tracking Dataset, DOT, is a large real-world dataset for tracking deformable objects with little or no texture. The key technology is to use UV fluorescent markers to provide features for correspondence tracking while maintain the object's original appearanc... |
Peixoto, Nathalia, 2025, "Unraveling Glutamine Synthetase Dynamics: Implications for Glutamate Homeostasis in Astrocytes", https://doi.org/10.13021/ORC2020/TA0SYJ, George Mason University Dataverse, V1
Dataset refers to PlosOne submission (2025) |
Jan 9, 2025
Khalid, Zeeshan; P. J. Ruess; Andre de S. de Lima; Arslaan Khalid; Tyler Miesse; Diana Veronez; Celso M. Ferreira; James L. Kinter, 2024, "DEMend: Automating hydrological correction of Digital Elevation Models for enhanced urban flood modeling", https://doi.org/10.13021/ORC2020/50YZLT, George Mason University Dataverse, V3
The DEMend Toolbox is designed to automate the process of hydrological correction for Digital Elevation Models (DEMs). It incorporates existing, publicly available datasets, such as road networks, stream networks, and bridges/culverts, to identify and remove obstructions from DEM... |
Xiao, Xuesu, 2024, "Global Navigation Dataset", https://doi.org/10.13021/ORC2020/JUIW5F, George Mason University Dataverse, V9
Global Navigation Dataset (GND) contains multi-modal robot perception and action data across many university campuses with multiple traversability labels (open space, obstacles, stairs, off-road, and roadway). |
Dec 18, 2024
Gomeiz, Alison T, 2024, "Blanchard et al. 2024 RPPA intensity values", https://doi.org/10.13021/ORC2020/UOWI5D, George Mason University Dataverse, V1, UNF:6:kHcE+cH53m0yNyeTAEbD2Q== [fileUNF]
RPPA intensity values used in the publication titled "Signaling dynamics in coexisting monoclonal cell subpopulations unveil mechanisms of resistance to anti-cancer compounds" by Blanchard et al. 2024. https://doi.org/10.1186/s12964-024-01742-3 |
Sep 30, 2024
Xiao, Xuesu, 2024, "Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions", https://doi.org/10.13021/ORC2020/SP577T, George Mason University Dataverse, V3
This dataset contains multi-modal passive perception data, including thermal, event, and stereo RGB cameras, IMU, GPS, and LiDAR for ground truth, to enable off-road mobility in extreme low-light conditions. |
Slawski, Martin P; West, Brady T; Bukke, Priyanjali; Wang, Zhenbang; Diao, Guoqing; Ben-David, Emanuel, 2024, "Code and Data for "A General Framework for Regression with Mismatched Data Based on Mixture Modeling"", https://doi.org/10.13021/ORC2020/D2YJXX, George Mason University Dataverse, V1, UNF:6:GY2VJDitETivE4j64uQv1g== [fileUNF]
This file contains code and data for replicating the simulation studies and the analysis in Sections 7.1 and 7.3 of the paper Slawski, M., West, B.T., Bukke, P., Wang, Z., Diao, G., Ben-David, E. "A General Framework for Regression with Mismatched Data Based on Mixture Modeling",... |
Tong, Daniel Quansong, 2024, "Aerosol Composition during Dust Storms and Wildfires from the IMPROVE Network", https://doi.org/10.13021/ORC2020/EOL1WJ, George Mason University Dataverse, V1
This dataset contains daily observations of PM10, PM2.5 and chemical composition measured by the Interagency Monitoring of Protected Visual Environment (IMPROVE) network. In addition the raw IMPROVE data, local dust storms and wildfire events are identified in a separate column b... |
Mar 26, 2024
Ruess, P. J.; Khalid, Zeeshan; Ferreira, Celso M.; Kinter, James L., 2024, "Social and Environmental Justice Implications of Flood-Related Road Closures in Virginia", https://doi.org/10.13021/ORC2020/YJHLEP, George Mason University Dataverse, V1, UNF:6:Eao7HORYKhjmqEWSJbd5Hw== [fileUNF]
Virginia Road Closures data supporting manuscript submission, collected and processed from Virginia Department of Transportation data portal (SmarterRoads.org) for the time period September, 2019 - January, 2024. |
Feb 26, 2024
Weinstein, Ali A; van Aert, R.C.M, 2023, "Meta-Analysis: Effects of Acute Exercise on General Mood", https://doi.org/10.13021/ORC2020/KA1SLZ, George Mason University Dataverse, V2
The purpose of the present data (meta-analysis) was to quantify the effect size of the affective response to acute exercise and to identify factors that are associated with an enhanced or attenuated affective response to acute exercise. The uploaded are the extracted data from th... |
