Datasets: Datasets

  1. Hurricane Dorian Tweet IDs

    2019-11-11 18:30:42 | Contributor(s): Benjamin Rachunok, Roshanak Nateghi, Douglas McWherter | doi:10.4231/CPGM-E419

    Tweet IDs gathered in real-time during the impact of Hurricane Dorian. August 30th, 2019 through September 16th, 2019.

    https://purr.purdue.edu/publications/3326

  2. Population-specific brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database

    2019-11-06 20:38:33 | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/XGNK-JX08

    Unbiased population-specific brain atlas for local adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, a T1-weighted template, and a DTI template.

    https://purr.purdue.edu/publications/3096

  3. Supporting Surgical Teams: Identifying Needs and Barriers for Exoskeleton Implementation in the Operating Room

    2019-11-05 17:24:24 | Contributor(s): Jackie Cha, Denny Yu | doi:10.4231/TF0A-S814

    Findings from this work identify facilitators and barriers for sustained implementation of exoskeletons by surgical teams.

    https://purr.purdue.edu/publications/3318

  4. In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - STB

    2019-11-01 21:18:29 | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/FNF9-E631

    In vitro STB dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.

    https://purr.purdue.edu/publications/3312

  5. In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - MRI

    2019-11-01 21:18:50 | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/C6DE-N845

    In vivo MRI dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.

    https://purr.purdue.edu/publications/3310

  6. In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - CFD

    2019-11-01 21:19:11 | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/5RW6-4Z50

    In silico CFD dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.

    https://purr.purdue.edu/publications/3311

  7. OSHA Fall Safety VR Training Simulator

    2019-10-23 17:20:37 | Contributor(s): James L. Jenkins, George Takahashi, Wan Ju Huang, Jordan McGraw, Amanda Luginbuhl, Laura Theademan | doi:10.4231/Z77S-QH47

    VR Training Simulator and source files funded by the Susan Harwood Grant in 2017 to instruct fall safety concepts.

    https://purr.purdue.edu/publications/3286

  8. Survey on Crop Residues for Cattle Feeding in Niger

    2019-10-18 22:02:25 | Contributor(s): Ousmane Seyni Diakite | doi:10.4231/GE83-HA69

    The specific objectives were to identify farmers’ and stover traders’ preferences on sorghum stover varieties. A Participatory Rural Appraisal (PRA) consisting of focus group discussions followed by semi-structured interviews, was conducted.

    https://purr.purdue.edu/publications/3283

  9. Structural diversity and ecosystem function

    2019-10-14 17:34:06 | Contributor(s): Elizabeth A Larue, Brady Hardiman, Jessica Elliott, Songlin Fei | doi:10.4231/N88M-7A62

    Codes and data for published article: LaRue, EA, BS Hardiman, JM Elliott, S Fei. 2019. Structural diversity as a predictor of ecosystem function. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab49bb

    https://purr.purdue.edu/publications/3304

  10. Modeling the Sea Level Changes in Guam

    2019-10-14 18:10:56 | Contributor(s): Avnika Manaktala | doi:10.4231/0A0F-7A84

    This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.

    https://purr.purdue.edu/publications/3289

  11. Building Information Modelling (BIM) data repository with labels

    2019-10-09 15:31:28 | Contributor(s): Jiansong Zhang, Jin Wu | doi:10.4231/60V2-PJ72

    The dataset contains five models with extracted elements for each model. The elements are manually labeled by researchers with construction/civil engineering backgrounds based on discussion and majority vote.

    https://purr.purdue.edu/publications/3259

  12. Eye-tracking Metrics Predicts Perceived Workload in Robotic Surgical Skills Training

    2019-10-04 21:49:24 | Contributor(s): Chuhao Wu, Jackie Cha, Jay Sulek, Tian Zhou, Chandru Sundaram, Juan Wachs, Denny Yu | doi:10.4231/0EVK-9P12

    Eye-tracking data and NASA-TLX ratings during robotic surgical training.

    https://purr.purdue.edu/publications/3251

  13. Online Spiritual Atlas of China (OSAC) Data

    2019-09-18 21:08:25 | Contributor(s): Fenggang Yang, Zhixin Li, Christopher White, Jonathan Pettit, Charles Chang | doi:10.4231/ZN8M-KY34

    OSAC Religious mat data

    https://purr.purdue.edu/publications/3210

  14. 3-D Model of a Harness for OSHA Fall Safety Training

    2019-09-12 14:59:20 | Contributor(s): James Jenkins, Jordyn Lukomski, George Takahashi | doi:10.4231/24AV-1A55

    3-D model of an harness for the OSHA virtual reality simulation fall safety training.

    https://purr.purdue.edu/publications/3163

  15. Period n-tupling in Uniaxial Random Field XY Magnet with rotating driving field

    2019-09-06 20:45:08 | Contributor(s): Sayan Basak, Erica Carlson, Karin Dahmen | doi:10.4231/B90H-VH37

    These videos show the evolution of spin configurations in multiperiod limit cycle, generated from zero temperature simulations of 2D XY model with uniaxial random fields when subjected to a driving field which is rotated very slowly.

    https://purr.purdue.edu/publications/3260

  16. In-situ TEM Compression Pillar Test video for Fe-9%Cr ODS alloy and nanocrystalline Cu-24%Ta

    2019-09-27 19:41:11 | Contributor(s): Haozheng Qu, Kayla Yano, Priyam Vivek Patki, Matthew Swenson, Janelle Wharry | doi:10.4231/QG3N-H217

    These videos are supplementary videos for JMR article "Understanding Plasticity in Irradiated Alloys through TEM in situ Compression Pillar Tests".

    https://purr.purdue.edu/publications/3248

  17. Method for Extracting True Stress and Strain Hardening Coefficient from TEM in situ Compression Testing

    2019-08-23 18:18:07 | Contributor(s): Haozheng Qu, Kayla Yano, Priyam Patki, Matthew Swenson, Janelle Wharry | doi:10.4231/RDN7-PS52

    This algorithm package can automatically process transmission electron microscope (TEM) in situ micropillar compression test videos to extract the instantaneous pillar dimensions, then determine the true stress-strain curves and strain hardening...

    https://purr.purdue.edu/publications/3252

  18. Part-of-Speech Tagged Building Codes (PTBC)

    2019-08-26 18:32:12 | Contributor(s): Xiaorui Xue, Jiansong Zhang | doi:10.4231/Y0ZQ-4946

    This a natural language dataset of Part-of-Speech (POS) tagged building codes. It includes 1,522 sentences of text from Chapters 5 and 10 of 2015 International Building Code. It adopted the Penn Treebank tag set.

    https://purr.purdue.edu/publications/3246

  19. Global Methane Fluxes from Wetland using Mechanistically-based Biogeochemistry Model

    2019-08-22 16:26:50 | Contributor(s): Licheng Liu, Qianlai Zhuang | doi:10.4231/W1M6-4651

    Methane flux output from Terrestrial Ecosystem Model and Methane Dynamics Model (TEM-MDM) and data used in visualization.

    https://purr.purdue.edu/publications/3247

  20. In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms

    2019-08-23 13:52:42 | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/M5F1-QC84

    Data from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models, processed using Shake the Box (STB). Associated in vivo MRI and CFD datasets are also provided.

    https://purr.purdue.edu/publications/3136

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