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1 to 10 of 73 Results

Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data Jul 18, 2026 Yim, An Di, 2025, "Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data", https://doi.org/10.13021/ORC2020/LFPH6M, George Mason University Dataverse, V3, UNF:6:r17k7W0Br3DIoZ+WTQQUpg== [fileUNF] Data files, 3D model files, and research protocols supporting the findings of "Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data." This study evaluates the utility of an automated super-resolution reconstruction (SRR) framework in generating high-resolution skeletal models from multiple orthogonal t...
Datasets Supporting "Neighborhood-Scale O₃, NO₂, and PM₂.₅ in Washington, D.C. from a 1 × 1 km WRF-SMOKE-CMAQ Framework in Washington, D.C." Jul 13, 2026 Hallaji, Hoda; Ma, Siqi; Tong, Daniel; Henneman, Lucas, 2026, "Datasets Supporting "Neighborhood-Scale O₃, NO₂, and PM₂.₅ in Washington, D.C. from a 1 × 1 km WRF-SMOKE-CMAQ Framework in Washington, D.C."", https://doi.org/10.13021/ORC2020/FZ1KOX, George Mason University Dataverse, V1, UNF:6:g0qwglPuUN2VlDGA6uCEZA== [fileUNF] This dataset contains the processed meteorological evaluation products and air quality modeling outputs supporting the manuscript "Neighborhood-Scale O₃, NO₂, and PM₂.₅ in Washington, D.C. from a 1 × 1 km WRF-SMOKE-CMAQ Framework." The dataset includes processed outputs from WRF (v4.2.1), MCIP (v5.4), SMOKE (v4.7), and CMAQ (v5.4) simulations for F...
Replication Data for: Validation of Different Postmortem Interval Estimation Methods in the Mid-Atlantic Region Jun 17, 2026 Kalin, Mason; Lyles, Kennedie; Yim, An-Di, 2026, "Replication Data for: Validation of Different Postmortem Interval Estimation Methods in the Mid-Atlantic Region", https://doi.org/10.13021/ORC2020/V9XGTV, George Mason University Dataverse, V1, UNF:6:42tBdt2GY2WJ6S5QTfjsUg== [fileUNF] Replication data for "Validation of Different Postmortem Interval Estimation Methods in the Mid-Atlantic Region." Each row is one documented observation; the file contains the decomposition score (TBS), temperature measurements, and the externally generated method outputs underlying the analyses. Photographs, documentation notes, or detailed donor...
H&H model framework for Pocomoke City, MD (GIS files) Jun 12, 2026 Veronez, Diana; de Lima, Andre de Souza; Ferreira, Celso, 2026, "H&H model framework for Pocomoke City, MD (GIS files)", https://doi.org/10.13021/ORC2020/9TH99S, George Mason University Dataverse, V1 The dataset was developed to support flood hazard assessment and adaptation planning. It is part of a broader data collection available through HydroShare, which includes additional supporting materials: https://www.hydroshare.org/resource/c0c1559300cb40a9bc090131e3bc8722/
Replication Data for: Applicability of Handheld Laser Scanning for Nonmetric Skeletal Assessment in Biological Profile Estimation Jun 12, 2026 Cummings, Chloe; Yim, An-Di, 2026, "Replication Data for: Applicability of Handheld Laser Scanning for Nonmetric Skeletal Assessment in Biological Profile Estimation", https://doi.org/10.13021/ORC2020/HICSJ0, George Mason University Dataverse, V1, UNF:6:FEOHGdGyILVKjzIdS43b9g== [fileUNF] Nonmetric trait scores for the two skeletal cases included in the study from participants. Two data files were included: the first contains all participants' scores for the physical assessment, the second contains a subset of participants' scores for the physical assessment and all corresponding scores for the virtual assessment.
Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight May 21, 2026 Moghaddame-Jafari, Bahman, 2026, "Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight", https://doi.org/10.13021/ORC2020/ZZY1LT, George Mason University Dataverse, V1 This dataset contains geospatial model outputs representing coastal flood exposure associated with Hurricane Irene under two scenarios: (1) present-day conditions and (2) a sea-level rise (SLR) scenario of +1.3 m. The data are provided as polygon shapefiles derived from hydrodynamic modeling results and represent spatial extents of exposed or inund...
Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization May 4, 2026 Veronez, Diana; de Lima, Andre de Souza; Ferreira, Celso, 2026, "Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization", https://doi.org/10.13021/ORC2020/KGGXKL, George Mason University Dataverse, V1 This dataset supports an integrated framework that combines two-dimensional flood modeling, participatory mapping, and a spatial integration approach to identify areas where modeled flood exposure intersects with community perceptions to prioritize management strategies in a coastal–urban community in Maryland
Replication Data: Long-term criteria and toxic pollutants trends and community exposures over the Marcellus Shale region in the U.S. Mar 27, 2026 Baek, Bok Haeng, 2026, "Replication Data: Long-term criteria and toxic pollutants trends and community exposures over the Marcellus Shale region in the U.S.", https://doi.org/10.13021/ORC2020/FDBTQM, George Mason University Dataverse, V1 This dataset supports a comprehensive assessment of long-term air quality impacts associated with unconventional oil and gas development (UOGD) in the Marcellus Shale region of the United States, covering Pennsylvania, West Virginia, and Ohio from 2002–2021. The project integrates emissions inventory development, ambient monitoring data, chemical t...
Tiling of large-scaled environments by grid cells requires experience Feb 18, 2026 Gutierrez Guzman, Blanca; Hernandez Perez, J Jesus; Dannenberg, Holger, 2025, "Tiling of large-scaled environments by grid cells requires experience", https://doi.org/10.13021/ORC2020/OJT2JL, George Mason University Dataverse, V2 Dataset including data of electrophysiological recordings of grid cells.
Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions Jan 19, 2026 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, V4 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.

Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data

Jul 18, 2026

Yim, An Di, 2025, "Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data", https://doi.org/10.13021/ORC2020/LFPH6M, George Mason University Dataverse, V3, UNF:6:r17k7W0Br3DIoZ+WTQQUpg== [fileUNF]

Data files, 3D model files, and research protocols supporting the findings of "Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data." This study evaluates the utility of an automated super-resolution reconstruction (SRR) framework in generating high-resolution skeletal models from multiple orthogonal t...

Datasets Supporting "Neighborhood-Scale O₃, NO₂, and PM₂.₅ in Washington, D.C. from a 1 × 1 km WRF-SMOKE-CMAQ Framework in Washington, D.C."

Jul 13, 2026

Hallaji, Hoda; Ma, Siqi; Tong, Daniel; Henneman, Lucas, 2026, "Datasets Supporting "Neighborhood-Scale O₃, NO₂, and PM₂.₅ in Washington, D.C. from a 1 × 1 km WRF-SMOKE-CMAQ Framework in Washington, D.C."", https://doi.org/10.13021/ORC2020/FZ1KOX, George Mason University Dataverse, V1, UNF:6:g0qwglPuUN2VlDGA6uCEZA== [fileUNF]

This dataset contains the processed meteorological evaluation products and air quality modeling outputs supporting the manuscript "Neighborhood-Scale O₃, NO₂, and PM₂.₅ in Washington, D.C. from a 1 × 1 km WRF-SMOKE-CMAQ Framework." The dataset includes processed outputs from WRF (v4.2.1), MCIP (v5.4), SMOKE (v4.7), and CMAQ (v5.4) simulations for F...

Replication Data for: Validation of Different Postmortem Interval Estimation Methods in the Mid-Atlantic Region

Jun 17, 2026

Kalin, Mason; Lyles, Kennedie; Yim, An-Di, 2026, "Replication Data for: Validation of Different Postmortem Interval Estimation Methods in the Mid-Atlantic Region", https://doi.org/10.13021/ORC2020/V9XGTV, George Mason University Dataverse, V1, UNF:6:42tBdt2GY2WJ6S5QTfjsUg== [fileUNF]

Replication data for "Validation of Different Postmortem Interval Estimation Methods in the Mid-Atlantic Region." Each row is one documented observation; the file contains the decomposition score (TBS), temperature measurements, and the externally generated method outputs underlying the analyses. Photographs, documentation notes, or detailed donor...

H&H model framework for Pocomoke City, MD (GIS files)

Jun 12, 2026

Veronez, Diana; de Lima, Andre de Souza; Ferreira, Celso, 2026, "H&H model framework for Pocomoke City, MD (GIS files)", https://doi.org/10.13021/ORC2020/9TH99S, George Mason University Dataverse, V1

The dataset was developed to support flood hazard assessment and adaptation planning. It is part of a broader data collection available through HydroShare, which includes additional supporting materials: https://www.hydroshare.org/resource/c0c1559300cb40a9bc090131e3bc8722/

Replication Data for: Applicability of Handheld Laser Scanning for Nonmetric Skeletal Assessment in Biological Profile Estimation

Jun 12, 2026

Cummings, Chloe; Yim, An-Di, 2026, "Replication Data for: Applicability of Handheld Laser Scanning for Nonmetric Skeletal Assessment in Biological Profile Estimation", https://doi.org/10.13021/ORC2020/HICSJ0, George Mason University Dataverse, V1, UNF:6:FEOHGdGyILVKjzIdS43b9g== [fileUNF]

Nonmetric trait scores for the two skeletal cases included in the study from participants. Two data files were included: the first contains all participants' scores for the physical assessment, the second contains a subset of participants' scores for the physical assessment and all corresponding scores for the virtual assessment.

Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight

May 21, 2026

Moghaddame-Jafari, Bahman, 2026, "Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight", https://doi.org/10.13021/ORC2020/ZZY1LT, George Mason University Dataverse, V1

This dataset contains geospatial model outputs representing coastal flood exposure associated with Hurricane Irene under two scenarios: (1) present-day conditions and (2) a sea-level rise (SLR) scenario of +1.3 m. The data are provided as polygon shapefiles derived from hydrodynamic modeling results and represent spatial extents of exposed or inund...

Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization

May 4, 2026

Veronez, Diana; de Lima, Andre de Souza; Ferreira, Celso, 2026, "Data for: Integrated flood risk management: combining numerical modeling and community perceptions to inform strategy prioritization", https://doi.org/10.13021/ORC2020/KGGXKL, George Mason University Dataverse, V1

This dataset supports an integrated framework that combines two-dimensional flood modeling, participatory mapping, and a spatial integration approach to identify areas where modeled flood exposure intersects with community perceptions to prioritize management strategies in a coastal–urban community in Maryland

Replication Data: Long-term criteria and toxic pollutants trends and community exposures over the Marcellus Shale region in the U.S.

Mar 27, 2026

Baek, Bok Haeng, 2026, "Replication Data: Long-term criteria and toxic pollutants trends and community exposures over the Marcellus Shale region in the U.S.", https://doi.org/10.13021/ORC2020/FDBTQM, George Mason University Dataverse, V1

This dataset supports a comprehensive assessment of long-term air quality impacts associated with unconventional oil and gas development (UOGD) in the Marcellus Shale region of the United States, covering Pennsylvania, West Virginia, and Ohio from 2002–2021. The project integrates emissions inventory development, ambient monitoring data, chemical t...

Tiling of large-scaled environments by grid cells requires experience

Feb 18, 2026

Gutierrez Guzman, Blanca; Hernandez Perez, J Jesus; Dannenberg, Holger, 2025, "Tiling of large-scaled environments by grid cells requires experience", https://doi.org/10.13021/ORC2020/OJT2JL, George Mason University Dataverse, V2

Dataset including data of electrophysiological recordings of grid cells.

Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions

Jan 19, 2026

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, V4

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.

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