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Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data
Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data
Sep 22, 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, V5, UNF:6:ucTDNVdFSGajsOzGIhIfDQ== [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...
surface-statistics.csv
Sep 22, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data
Tabular Data - 4.1 KB - 11 Variables, 61 Observations - UNF:6:iTfFf3/ZsxAaKd3+O0WhcQ==
Results of surface comparison between pre and post. Processes used to conduct surface comparison are outlined in Surface comparison protocol.pdf
Replication data for "What drives rural drinking water system performance? Evidence from Ghana"
Sep 16, 2026
Smith, Daniel Worthington, 2026, "Replication data for "What drives rural drinking water system performance? Evidence from Ghana"", https://doi.org/10.13021/ORC2020/XHZ9XM, George Mason University Dataverse, V1, UNF:6:TNyfj0uhqqnyTm2MnH7pbQ== [fileUNF]
Replication data with and without 8 instances for sensitivity analysis as well as R code.
Analysis_Ghana_220326.R
Sep 16, 2026 - Replication data for "What drives rural drinking water system performance? Evidence from Ghana"
R Syntax - 28.3 KB - MD5: 869255a0e96e67b8ae9b6d3e7021db42
DATA_NO_SWE2.csv
Sep 16, 2026 - Replication data for "What drives rural drinking water system performance? Evidence from Ghana"
Tabular Data - 65.5 KB - 88 Variables, 142 Observations - UNF:6:qIFkOdwP77sJRdyW6Wzs5A==
DATA.csv
Sep 16, 2026 - Replication data for "What drives rural drinking water system performance? Evidence from Ghana"
Tabular Data - 51.8 KB - 80 Variables, 150 Observations - UNF:6:O/WFbGR+6Vnq+s8tWvvjRQ==
Surface comparison protocol.pdf
Surface comparison protocol.pdf
Sep 12, 2026 - Replication Data for: Adapting super-resolution reconstruction for skeletal analysis of clinical computed tomography data
Adobe PDF - 95.9 KB - MD5: 4d34e05b6ee71ff9b7650a4db2ea692a
Research protocol describing the step-by-step process of surface comparison in 3D Slicer.
Green Public Infrastructure for Local Climate Resilience: A Case Study of the Mount Vernon District
Green Public Infrastructure for Local Climate Resilience: A Case Study of the Mount Vernon District
Aug 24, 2026
Younsung Kim, 2026, "Green Public Infrastructure for Local Climate Resilience: A Case Study of the Mount Vernon District", https://doi.org/10.13021/ORC2020/OTO7WZ, George Mason University Dataverse, V1
Data and maps used in the analysis of 'Green Public Infrastructure for Local Climate Resilience: A Case Study of the Mount Vernon District'. Published in Urban Science.
data summary.pdf
data summary.pdf
Aug 24, 2026 - Green Public Infrastructure for Local Climate Resilience: A Case Study of the Mount Vernon District
Adobe PDF - 76.6 KB - MD5: acfc41326ed250bfe82ed5af0264aa6d
enviromental_exposure_schools.zip
Aug 24, 2026 - Green Public Infrastructure for Local Climate Resilience: A Case Study of the Mount Vernon District
ZIP Archive - 1009.6 KB - MD5: 0d9c412e6ce699f0cbf764390769f776
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