Datasets: All

  1. NEMAR

    2021-01-22 00:15:49 | Datasets | Contributor(s): Ilya Shunko | doi:10.4231/V383-YC49

    n/a

    https://purr.purdue.edu/publications/3682

  2. Data for: Population-level variation in infection outcomes not influenced by pesticide exposure in larval wood frogs (Rana sylvatica)

    2021-01-15 19:58:24 | Datasets | Contributor(s): Jason T. Hoverman, Logan Scott Billet | doi:10.4231/AY85-YD07

    These data correspond to a paper entitled "Population-level variation in infection outcomes not influenced by pesticide exposure in larval wood frogs (Rana sylvatica)" by Billet et al. submitted to the journal Freshwater Biology in 2021.

    https://purr.purdue.edu/publications/3679

  3. Gauss quadrature and Christoffel function for a Gegenbauer weight function multiplied by an exponential function

    2021-01-12 15:23:30 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R5V5-TW63

    A set of MATLAB scripts related to Gauss quadrature and Christoffel function for a Gegenbauer weight function multiplied by an exponential function

    https://purr.purdue.edu/publications/3449

  4. Gauss quadrature and Christoffel function for generalized Jacobi weight functions

    2021-01-12 15:24:24 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/EF1B-1513

    A set of MATLAB scripts related to Gauss quadrature and Christoffel function for generalized Jacobi weight functions

    https://purr.purdue.edu/publications/3433

  5. Animal Model Dependent Response to Pentagalloyl Glucose in Murine Abdominal Aortic Injury

    2021-01-12 15:36:21 | Datasets | Contributor(s): Jennifer Anderson, Elizabeth Niedert, Sourav Patnaik, Renxiang Tang, Riley Holloway, Vangelina Osteguin, Ender Finol, Craig Goergen | doi:10.4231/1FQ0-P419

    This dataset accompanies the Journal of Clinical Medicine article by the same name (https://doi.org/10.3390/jcm10020219) and includes all data discussed therein. Please contact Craig Goergen with any questions at cgoergen@purdue.edu.

    https://purr.purdue.edu/publications/3678

  6. Gauss quadrature and Christoffel function for the reciprocal gamma weight function

    2021-01-12 15:03:41 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/XBCV-CD07

    A set of MATLAB scripts related to Gauss quadrature and Christoffel function for the reciprocal gamma weight function

    https://purr.purdue.edu/publications/3432

  7. Data for: Timing and order of exposure to two echinostome species affect patterns of infection in larval amphibians

    2021-01-06 19:14:29 | Datasets | Contributor(s): Logan Scott Billet, Jason T. Hoverman | doi:10.4231/1YRJ-HZ02

    These data correspond to a paper entitled "Timing and order of exposure to two echinostome species affect patterns of infection in larval amphibians" by Billet et al. published in the journal Parasitology in 2020:...

    https://purr.purdue.edu/publications/3676

  8. Data for: Relative acute toxicity of three per- and polyfluoroalkyl substances on nine species of larval amphibians

    2021-01-04 19:17:22 | Datasets | Contributor(s): Brian Tornabene, Michael Chislock, Megan Gannon, Maria Sepulveda, Jason T. Hoverman | doi:10.4231/K9C5-R785

    These data correspond to a paper entitled "Relative acute toxicity of three per- and polyfluoroalkyl substances on nine species of larval amphibians" by Tornabene et al.

    https://purr.purdue.edu/publications/3677

  9. Micromobility data set for Indianapolis

    2020-12-17 18:52:45 | Datasets | Contributor(s): Jijo K Mathew, Mingmin Liu, Howell Li, Deborah Horton, Darcy M. Bullock | doi:10.4231/3FT5-MJ18

    This data set includes 1-year of E-scooter trip data from the city of Indianapolis, IN between Sep 2018 and Aug 2019.

    https://purr.purdue.edu/publications/3660

  10. West Lafayette Scenario Simulation of Sorghum Hybrids Using Historical Weather Data

    2020-12-15 18:53:32 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/63GJ-CJ23

    In the West Lafayette scenario simulations, the physiology parameters from 2018 West Lafayette were used to run APSIM simulations in West Lafayette using multi-year historical weather data.

    https://purr.purdue.edu/publications/3663

  11. Texas Scenario Simulation of Sorghum Hybrids Using Historical Weather Data

    2020-12-15 18:53:00 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/PRS2-AC22

    In the Texas scenario simulations, the physiology parameters from 2018 West Lafayette were used to run APSIM simulations in Bushland, TX using multi-year historical weather data.

    https://purr.purdue.edu/publications/3662

  12. 2017 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 18:52:24 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/6NW4-TB31

    The calibrated APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2017 West Lafayette.

    https://purr.purdue.edu/publications/3661

  13. 2015 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 18:51:54 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/0NX5-RT34

    The APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2015 West Lafayette.

    https://purr.purdue.edu/publications/3659

  14. 2018 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 18:50:33 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/KMK0-J993

    The model calibration step compares the APSIM simulated results with measured phenotypes in field trials. Parameter adjustments are reported in “SorghumXMLOutputUQ”.

    https://purr.purdue.edu/publications/3658

  15. R Pipeline for Calculation of APSIM Parameters and Generating the XML File

    2020-12-15 18:49:32 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/69H7-CV75

    A pipeline to generate the XML parameter file for APSIM was developed in R. The files and R codes are reported in "R Pipeline for Calculation of APSIM Parameters and Generating the XML File".

    https://purr.purdue.edu/publications/3657

  16. Hard-braking Event Dataset for Interstate Routes in Indiana

    2020-12-10 15:10:48 | Datasets | Contributor(s): Jijo K Mathew, Howell Li, Matthew Blackwell, Darcy M. Bullock | doi:10.4231/GK80-XG71

    This data set illustrates the daily variation in hard-braking events for five interstate routes (I-65, I-69, I-70, I-94 and I-465) in Indiana.

    https://purr.purdue.edu/publications/3656

  17. Dry Matter Intake and Beta-Hydroxybutyrate Response in a GTT in Phase Shifted Dairy Cows

    2020-12-10 14:53:32 | Datasets | Contributor(s): Conor John Mccabe, Aridany Suarez Trujillo, Theresa M Casey, Jacquelyn P Boerman | doi:10.4231/WJYX-B949

    Circadian disruptions in dairy cattle did not affect BHB concentrations in response to an IVGTT at 14 days before expected calving and 7 days in milk. Additionally, there was no effect of disruptions on dry matter intake

    https://purr.purdue.edu/publications/3643

  18. Hard-braking event dataset for I-35, TX

    2020-12-07 16:41:07 | Datasets | Contributor(s): Jijo K. Mathew, Howell Li, Matthew Blackwell, Darcy M. Bullock | doi:10.4231/N1FM-2D67

    This data set illustrates the daily variation in hard-braking events for a 500-mile section of I-35 in Texas.

    https://purr.purdue.edu/publications/3655

  19. Estimated land cover properties for hydrologic modeling in Arequipa, Peru

    2020-12-03 18:32:18 | Datasets | Contributor(s): Fariborz Daneshvar, Jane R Frankenberger, Laura C Bowling, Keith A Cherkauer, Johann Alexander Vera Mercado | doi:10.4231/GYN8-W684

    This dataset provides spatially-distributed land cover properties required for SWAT hydrologic modeling in the Arequipa Department of Peru. Developed methodology for estimation of land cover properties is also provided.

    https://purr.purdue.edu/publications/3627

  20. 2020 Purdue FNR Ecological Sensors Class Air Quality Data

    2020-11-25 16:16:44 | Datasets | Contributor(s): Jacob Daniel Hosen, Molly Barrett, Calen Cunningham, Aziz Ebrahimi, Kimberly Gulbranson, Joseph Hale, Taylor Hayes, Amanda N. Heltzel, Sylvia Park, Benjamin Rivera, David Savage, Brandon M. Sosa, Grace Walker, Seth Williams | doi:10.4231/VF0B-B644

    Air quality sensor data collected by Purdue Forestry & Natural Resources students using Arduino-compatible microcontrollers and sensors to detect volatile organic compounds and 2.5 µm particulates.

    https://purr.purdue.edu/publications/3632

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