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  1. mHealth hyperspectral learning for hemodynamics

    2023-03-27 19:01:01 | Datasets | Contributor(s): Young L Kim | doi:10.4231/VAFP-DW68

    A small sampling of hyperspectral data enables spectrally informed learning to recover a hypercube from a red-green-blue (RGB) image without complete hyperspectral measurements. Hyperspectral learning is capable of recovering full spectroscopic resolution

    https://purr.purdue.edu/publications/4244

  2. Methane emissions from land and aquatic ecosystems in Western Siberia: An analysis with methane biogeochemistry models

    2023-02-27 16:46:01 | Datasets | Contributor(s): Xuan Xi, Qianlai Zhuang, Seungbum Kim, Zhen Zhang | doi:10.4231/80RV-X686

    This dataset contains the main codes and data for the methane emissions quantification from land and aquatic ecosystems in Western Siberia based on biogeochemical methane models.

    https://purr.purdue.edu/publications/4240

  3. Automatic 4D flow MRI Segmentation Using the Standardized Difference of Means Velocity

    2023-02-02 15:15:10 | Datasets | Contributor(s): Sean Michael Rothenberger, Neal Patel, Jiacheng Zhang, Susanne Schnell, Bruce Craig, Sameer Ansari, Michael Markl, Pavlos Vlachos, Vitaliy Rayz | doi:10.4231/F75X-1N34

    We provide 4D flow MRI velocity measurements in two in vitro flow phantoms of a cerebral aneurysm. One phantom is unscaled (1-to-1), and the other is scaled by a factor of two in all dimensions (2-to-1).

    https://purr.purdue.edu/publications/4237

  4. Input from torus longitudinalis drives binocularity and spatial summation in zebrafish optic tectum

    2021-12-16 20:47:51 | Datasets | Contributor(s): Estuardo Robles | doi:10.4231/STQE-9A91

    In this study we demonstrate that torus longitudinalis feedback projections to tectum drive binocular integration and spatial summation in a defined tectal circuit. These findings reveal a novel role for the zebrafish torus longitudinalis.

    https://purr.purdue.edu/publications/3900

  5. Combine Kart Truck GPS Data Archive

    2021-12-09 17:28:06 | Datasets | Contributor(s): Yaguang Zhang, James Krogmeier | doi:10.4231/XBG9-P763

    GPS data for agricultural vehicles collected during wheat harvesting.

    https://purr.purdue.edu/publications/3083

  6. Evaluating the variability of surface soil moisture simulated within CMIP5 using SMAP data

    2021-12-01 13:45:01 | Datasets | Contributor(s): Xuan Xi, Pierre Gentine, Qianlai Zhuang, Seungbum Kim | doi:10.4231/A0QC-7E03

    This dataset includes the comparison results of 17 land surface models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) globally using the Soil Moisture Active Passive (SMAP) products and codes for analysis.

    https://purr.purdue.edu/publications/3908

  7. Data for Permafrost Degradation Diminishes Terrestrial Ecosystem Carbon Sequestration Capacity on the Qinghai-Tibetan Plateau

    2021-09-17 13:22:48 | Datasets | Contributor(s): Lei Liu, Qianlai Zhuang, Dongsheng Zhao, Du Zheng, Dan Kou, Yuanhe Yang | doi:10.4231/03FM-XN05

    Dataset about the effects of permafrost degradation on C and N cycling on the Qinghai-Tibetan Plateau in the 21st century

    https://purr.purdue.edu/publications/3867

  8. Dataset of the peak height insertion gain (PHIG) method for quantifying acoustic feedback in hearing aids

    2021-09-08 15:36:08 | Datasets | Contributor(s): Joshua M Alexander, Stephanie Schmig, Randall Wagner, Steve Armstrong | doi:10.4231/K1WJ-TW90

    Raw audio recordings of hearing aid output with and without feedback. MATLAB code for a method that quantifies the strength of the feedback signal. Spreadsheet data containing categorical feedback ratings from human listeners.

    https://purr.purdue.edu/publications/3684

  9. Failure pattern around the borehole in elastic and strength anisotropic rock formations

    2021-08-11 19:06:16 | Datasets | Contributor(s): Wenjing Wang, Douglas R Schmitt, Wei Li | doi:10.4231/0NWT-5Y39

    A Matlab-based algorithm that predicts the development of borehole breakouts in elastic and strength anisotropic rock formations using Lekhnitskij-Amadei (LA) equations.

    https://purr.purdue.edu/publications/3835

  10. Cyclic Voltammetry analysis of catalyst degradation modes in Polymer Electrolyte Fuel Cells

    2021-08-03 14:04:16 | Datasets | Contributor(s): Navneet Goswami, Partha Mukherjee | doi:10.4231/2KSE-4P49

    This mathematical model helps simulate a cyclic voltammogram (CV) response based on the propensity of catalyst particles towards dissolution and/ or oxidation mechanisms.

    https://purr.purdue.edu/publications/3840

  11. Dot tracking methodology for background-oriented schlieren (BOS)

    2021-05-18 13:47:58 | Datasets | Contributor(s): Lalit Rajendran, Sally P M Bane, Pavlos Vlachos | doi:10.4231/X101-WK63

    A dot tracking method to process BOS images that improves the accuracy, precision, and spatial resolution of the measurements

    https://purr.purdue.edu/publications/3561

  12. To Seal or Not To Seal: Study of Splashes

    2021-02-17 14:46:47 | Datasets | Contributor(s): Javad Eshraghi, Sunny Jung, Pavlos Vlachos | doi:10.4231/JQ7R-YS20

    Data from the water entry of hydrophobic spheres experiment used to reveal the criteria in the occurrence of surface seal.

    https://purr.purdue.edu/publications/3521

  13. A Rainfall-based, Sequential Depression-filling Algorithm and Applications on a Watershed in Northeastern Indiana, USA

    2020-10-30 16:47:12 | Datasets | Contributor(s): Dennis Buckmaster, Samuel Adam Noel | doi:10.4231/S2B6-J628

    Contents include script files for a sequential depression-filling algorithm developed in Matlab as well as elevation datasets used in a manuscript publication.

    https://purr.purdue.edu/publications/3633

  14. Orthogonal polynomials relative to a generalized Marchenko–Pastur measure

    2020-07-30 18:53:43 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/7BZN-GM13

    A set of MATLAB scripts related to orthogonal polynomials relative to a generalized Marchenko–Pastur measure

    https://purr.purdue.edu/publications/3544

  15. Data of global wetland methane emissions from artificial neural network modeling v1.0

    2020-01-21 18:39:16 | Datasets | Contributor(s): Licheng Liu, Qianlai Zhuang | doi:10.4231/3YX4-EY30

    Source code of an ANN model, site level data, input data, output data and visualization results, which are presented in the manuscript "Inventorying Global Wetland Methane Emissions Based on In Situ Data and an Artificial Neural Network...

    https://purr.purdue.edu/publications/3372

  16. In vitro CFD, MRI, STB Series

    2019-11-01 21:35:31 | Series/Dataset | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/ZP8A-2G12

    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/3322

  17. 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 | Datasets | 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

  18. 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 | Datasets | 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

  19. 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 | Datasets | 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

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

    2019-08-23 18:18:07 | Datasets | 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

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