71 to 80 of 3,752 Results
Jun 12, 2026 -
Replication Data for: Applicability of Handheld Laser Scanning for Nonmetric Skeletal Assessment in Biological Profile Estimation
Tabular Data - 16.9 KB - 131 Variables, 54 Observations - UNF:6:OcihuI4fJXpwNtArsgwYeg==
All of participants' scores for the physical assessment |
Jun 12, 2026 -
Replication Data for: Applicability of Handheld Laser Scanning for Nonmetric Skeletal Assessment in Biological Profile Estimation
Tabular Data - 17.3 KB - 131 Variables, 53 Observations - UNF:6:msZmtEMCmh24AhYtKbH9vA==
A subset of participants' scores for the physical assessment and all corresponding scores for the virtual assessment |
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... |
May 21, 2026 -
Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight
Shapefile as ZIP Archive - 73.5 MB -
MD5: f4b8405e2f6937b769993abe8166ce31
Baseline flood exposure shapefile for Hurricane Irene under present-day sea-level conditions (0.0 m SLR). Polygon features represent areas identified as exposed or inundated based on model-derived water levels. Provided as a zipped ESRI shapefile including all required components (.shp, .shx, .dbf, .prj). |
May 21, 2026 -
Exposure of Coastal Protected Areas to Storm Surge and Sea Level Rise in the United States Mid-Atlantic Bight
Shapefile as ZIP Archive - 147.2 MB -
MD5: ea6e238823a580cb652b3735ebddee95
Flood exposure shapefile for Hurricane Irene under a +1.3 m sea-level rise scenario. Polygon features represent areas identified as exposed or inundated based on model-derived water levels adjusted for SLR. Provided as a zipped ESRI shapefile including all required components (.shp, .shx, .dbf, .prj). |
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 |
Shapefile as ZIP Archive - 8.3 KB -
MD5: 9050e26997edc9faf482b81a892f68a7
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Shapefile as ZIP Archive - 22.7 KB -
MD5: 6fff9c06a810976d4969a2261bf3ec8f
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Shapefile as ZIP Archive - 5.3 KB -
MD5: c0463fbb1f0bc2ae01bfbd479f291f85
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Shapefile as ZIP Archive - 5.0 MB -
MD5: c801ad23268217b096c98fc84b964ba1
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