1 to 7 of 7 Results
Xiao, Xuesu, 2024, "Global Navigation Dataset", https://doi.org/10.13021/orc2020/JUIW5F, George Mason University Dataverse, V7
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). |
Oct 3, 2024
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, V28
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... |
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. |
Jan 22, 2024
Gaal, Rachel; James L. Kinter III; Paul A. Dirmeyer; Bohar Singh, 2024, "Replication Data for: Identifying the Mechanism of Interaction Between Soil Moisture State and Summertime MCS Initiations In Weakly-Forced Synoptic Environments Using Convective-Permitting Simulations", https://doi.org/10.13021/orc2020/Y2MYGB, George Mason University Dataverse, V1, UNF:6:9+xHaykaJW+t+E2Y9oIqwg== [fileUNF]
This archive provides access to model data and analyses scripts used in the study: Identifying the Mechanism of Interaction Between Soil Moisture State and Summertime MCS Initiations In Weakly-Forced Synoptic Environments Using Convective-Permitting Simulations. The archive consi... |
