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721 to 730 of 744 Results
Feb 23, 2018 - Cultural Heritage
Rourk, William, 2018, "UVA_monuments_TheAviator", https://doi.org/10.18130/V3/TSS1JF, University of Virginia Dataverse, V1
scan data of The Aviator by Gutzon Borglum, data collected with a FARO Focus 3D 120 scanner
Feb 23, 2018 - Cultural Heritage
Rourk, William, 2018, "Fralin Museum - Tibetan Printing Block", https://doi.org/10.18130/V3/FYXONB, University of Virginia Dataverse, V2
Fralin Museum 3D Artifact, Tibetan printing block, cat # 1992.8.161, wooden block with painted top and stained bottom, ca. 17th c.
Feb 20, 2018 - Cultural Heritage
Rourk, William, 2017, "SpecialCollections-Faulkner-pipe-01", https://doi.org/10.18130/V3/TWDT8L, University of Virginia Dataverse, V6
William Faulkner's pipe; scanned on 2017-01-17 by Will Rourk, Baxter Craven, Molly Schwartzburg; scanned with Creaform Zscanner 700CX; data acquired using Creaform VXElements, processed with 3D Systems Geomagic, Autodesk 3D Studio Max, 3D printed with Stratasys Mojo
Feb 16, 2018 - Cultural Heritage
Rourk, William, 2017, "SpecialCollections-Faulkner-pipe-02", https://doi.org/10.18130/V3/BJKKXN, University of Virginia Dataverse, V3
These are the 3D files from the scanning of William Faulkner's pipe (#2 in this series);
Dec 14, 2017 - LibraData: UVa's Scholarly Research
Wu, Congyu, 2017, "Replication Data for: Forecasting Civil Unrest Using Social Media and Protest Participation Theory", https://doi.org/10.18130/V3/VUTR26, University of Virginia Dataverse, V1, UNF:6:+YkRhaSNqD5OgG1UxIbyig== [fileUNF]
Data used for IEEE Transactions on Computational Social Systems publication "Forecasting Civil Unrest Using Social Media and Protest Participation Theory"
Dec 10, 2017 - LibraData: UVa's Scholarly Research
Liang, Bo, 2017, "Liang & Clarens "Interactions between stratigraphy and interfacial properties on flow and trapping in geologic carbon storage"", https://doi.org/10.18130/V3/JZ1M8H, University of Virginia Dataverse, V1, UNF:6:BHySkr1v6OiCN7FuqGqPFw== [fileUNF]
data set for paper "Interactions between stratigraphy and interfacial properties on flow and trapping in geologic carbon storage"
Nov 21, 2017 - Department of Computer Science
Coffman, Joel; Weaver, Alfred C., 2017, "Benchmark for Relational Keyword Search", https://doi.org/10.18130/V3/KEVCF8, University of Virginia Dataverse, V3
The benchmark for relational keyword search is a collection of data sets, queries, and relevance assessments designed to facilitate the evaluation of systems supporting keyword search in databases. The benchmark includes three separate data sets with fifty information needs (i.e., queries) for each data set and follows the traditional approach to e...
Nov 7, 2017 - LibraData: UVa's Scholarly Research
Shingledecker, Christopher; McGuire, Brett, 2017, "Replication Data for: McGuire et al., "Discovery of the Interstellar Aromatic Molecule Benzonitrile (c-C6H5CN) in TMC-1", 2017, Science", https://doi.org/10.18130/V3/4IFDBP, University of Virginia Dataverse, V1, UNF:6:FiFImOSQ7hOMqvnNSw9bZg== [fileUNF]
Astrochemical model output and modified KIDA 2014 chemical network used in McGuire et al., "Discovery of the Interstellar Aromatic Molecule Benzonitrile (c-C6H5CN) in TMC-1", 2017, Science.
Aug 7, 2017 - Department of Environmental Sciences
Walter, Jonathan, 2017, "Data from: Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles", https://doi.org/10.18130/V3/HDBXVY, University of Virginia Dataverse, V1, UNF:6:CwpNPAsvEUXM4vXAcZW9ug== [fileUNF]
Over the past two decades, severe mounta in pine beetle (MPB) outbreaks have affected several million hectares of forest in western North America. The extensive ecological and economic damage caused by widespread insect infestations make understanding the development and spread of MPB outbreaks critical. This study uses a time series of Landsat5 TM...
Jul 17, 2017 - Center for Advanced Medical Analytics (CAMA)
Moss, Travis, 2017, "Replication Data for: Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study", https://doi.org/10.18130/V3/MKY17T, University of Virginia Dataverse, V1, UNF:6:X+2wSZbLeWoWG/3CELuVXw== [fileUNF]
Minimal anonymized data set for replication of study findings
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