Datasets: Datasets

  1. Data Visualizations Depicting Longitudinal Team Communication

    2019-11-19 16:43:51 | Contributor(s): Nathan E Mueller, Deanna M Kennedy, Sara A McComb | doi:10.4231/2FRC-W869

    Longitudinal Team Communication Data Visualizations

    https://purr.purdue.edu/publications/3287

  2. Gardner's Art Through the Ages - Illustrations Data

    2019-11-21 20:30:56 | Contributor(s): Jean Pierre V.M. Herubel, Matthew Hannah | doi:10.4231/YP1V-Q047

    This is a collection of four datasets of content information collected from the 1st, 5th, 12th, and 16th editions of Helen Gardner's canonical art textbook Gardner's Art Through the Ages.

    https://purr.purdue.edu/publications/3331

  3. Soil Property Data for Spatial Prediction of Soil Properties for the Busia Area, Kenya

    2019-11-18 20:38:55 | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/00R1-HM25

    Soil property data mined from the Reconnaissance Soil Survey of the Busia Area (quarter degree sheet No. 101) for digital soil mapping.

    https://purr.purdue.edu/publications/3273

  4. Principal Components for Stepwise Multiple Linear Regression

    2019-11-18 20:23:36 | Contributor(s): Darrell Schulze, Joshua Minai | doi:10.4231/0FGR-Z715

    Independent predictor variables for stepwise multiple linear regression.

    https://purr.purdue.edu/publications/3272

  5. Environmental Covariate Data for the Disaggregation of the Reconnaissance Soil Map of the Busia Area, Kenya

    2019-11-18 20:13:12 | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/4DBT-2W68

    Enviromental covariate data used to develop a digital model that represents the landscape and environmental conditions of the Busia landscape.

    https://purr.purdue.edu/publications/3268

  6. Environmental Covariate Data for Spatial Prediction of Soil Properties for the Busia Area, Kenya

    2019-11-18 20:11:13 | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/7F9R-4W74

    Environmental covariates were carefully selected to represent factors of soil formation: climate, relief, organisms, and time.

    https://purr.purdue.edu/publications/3267

  7. Busia Soil Class Map

    2019-11-18 20:07:52 | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/6D95-RH34

    This is a disaggregated soil map of the Busia area.

    https://purr.purdue.edu/publications/3265

  8. Busia Land Quality Maps

    2019-11-18 20:16:53 | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/KYJ5-S732

    Independent diagnostic criteria reflecting limitations for land use.

    https://purr.purdue.edu/publications/3271

  9. Busia K-Means Cluster Map

    2019-11-18 20:15:45 | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/4Q9T-FT90

    Map that mimics the geometry of 'fully developed slopes'.

    https://purr.purdue.edu/publications/3270

  10. Busia Fuzzy Soil Class Map

    2019-11-18 20:14:29 | Contributor(s): Darrell Schulze, Joshua Minai | doi:10.4231/TDN8-PM14

    Map based on the concept that soil classes can be spatially inferred from soil-related environmental conditions.

    https://purr.purdue.edu/publications/3269

  11. Busia Crop Suitability Maps

    2019-11-18 20:09:30 | Contributor(s): Joshua Minai, Darrell Schulze | doi:10.4231/VA77-JB85

    These are suitability classes defining the requirements for various crops/ land use types.

    https://purr.purdue.edu/publications/3266

  12. 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

  13. Mobile LiDAR for highway Mapping- road surfaces only

    2019-12-02 19:07:25 | Contributor(s): Ayman Habib, Yi Lin, Yi-ting Cheng | doi:10.4231/MFQF-Q141

    Highway data collected by mobile LiDAR, including point cloud, images, and trajectory. The point cloud is a subset of the original point cloud, which contains road surfaces along the driving lane only.

    https://purr.purdue.edu/publications/3317

  14. Mobile LiDAR for highway

    2019-12-02 20:24:00 | Contributor(s): Yi Lin, Yi-ting Cheng, Ayman Habib | doi:10.4231/D5QY-8C29

    Highway data collected by mobile LiDAR, including point cloud, images, and trajectory.

    https://purr.purdue.edu/publications/3315

  15. 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

  16. 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

  17. Potential Suitability for Subirrigation in the U.S. Midwest

    2019-11-08 16:10:35 | Contributor(s): Feng Yu, Jane Frankenberger, Jason Ackerson, Benjamin Reinhart | doi:10.4231/10ES-AH67

    This series provides shapefiles showing the potential suitability, and limiting factors, for subirrigation in the U.S. Midwest based on gSSURGO soil data from the Natural Resources Conservation Service (NRCS).

    https://purr.purdue.edu/publications/3263

  18. 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

  19. 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

  20. 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

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries, the Office of the Executive Vice President for Research and Partnerships, and Information Technology at Purdue (ITaP).