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11 to 20 of 3,767 Results
Aug 24, 2026 - 4VA Spatial Computing
ZIP Archive - 21.8 MB - MD5: 8e87d4d2f8934de78ac50471dd20b5d1
Aug 24, 2026 - 4VA Spatial Computing
ZIP Archive - 407.0 MB - MD5: 16b80970c64b0df728d58f2afe46e066
Aug 24, 2026 - 4VA Spatial Computing
ZIP Archive - 22 B - MD5: 76cdb2bad9582d23c1f6f4d868218d6c
Aug 24, 2026 - 4VA Spatial Computing
Adobe PDF - 73.3 KB - MD5: aac776f61e528cb8be07404a4a2b7d24
Aug 4, 2026
Cummings, Chloe; Yim, An-Di, 2026, "Replication Data for: Applicability of handheld laser scanning for nonmetric skeletal assessment in biological profile estimation: A preliminary two-case study", https://doi.org/10.13021/ORC2020/HICSJ0, George Mason University Dataverse, V3, 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.
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...
Adobe PDF - 395.6 KB - MD5: aefb4370a0135a56955cfddb1552c16f
Research protocol describeing the step-by-step process of mask generation.
Tabular Data - 2.5 KB - 34 Variables, 33 Observations - UNF:6:VXziZwjcbrt0BD7cMz7N4A==
Osteometric measurements taken directly from high-resolution volume renderings to the corresponding ID.
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