Datasets: All

  1. 1 Mark (Mahoney, Berea College)

    2014-10-01 18:54:27 | Datasets | Contributor(s): Mel Chua | doi:10.4231/R7FT8HZR

    The first narrative from Mark Mahoney of Berea College, collected on Feb. 21, 2014.

    https://purr.purdue.edu/publications/1717

  2. 20 Commercial Foods to Test 3-step Phenylalanine Estimation Process

    2019-03-27 19:57:08 | Datasets | Contributor(s): Amruthavarshini Talikoti, Mireille Boutin | doi:10.4231/R7K35RV5

    This publication contains the ingredient list and phe:protein ratios for 20 commercial foods, along with assumptions made to test a proposed mathematical process to estimate phenylalanine in commercial foods.

    https://purr.purdue.edu/publications/2940

  3. 2011-2014 Indiana Interstate Congestion Summary

    2014-10-07 21:44:41 | Datasets | Contributor(s): Stephen Remias, Teresa Morris, Darcy M. Bullock | doi:10.4231/R76D5QXB

    The video corresponds with the delay performance measure in the 2013–2014 Indiana Mobility Report.

    https://purr.purdue.edu/publications/1720

  4. 2012 Latino Immigrant National Election Study

    2016-07-21 20:30:05 | Datasets | Contributor(s): James A. McCann, Michael Jones-Correa | doi:10.4231/R7KS6PJK

    Original national survey of the foreign-born Latino population in the US.

    https://purr.purdue.edu/publications/2181

  5. 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

  6. 2017 State Street Reconstruction Time-Lapse

    2018-03-13 17:00:11 | Datasets | Contributor(s): Andrew T. Sydelko, Wayne A. Bunnell, Darcy M. Bullock, Jason S. Wasson | doi:10.4231/R7P55KPG

    This video documents the demolition and reconstruction of State Street through the heart of Purdue University Campus in 2017.

    https://purr.purdue.edu/publications/2919

  7. 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

  8. 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

  9. 2019 Addendum and Erratum to the Rough Cilicia Archaeological Survey Project (RCSP) Context Collection

    2020-06-24 16:56:44 | Datasets | Contributor(s): H. Asena Kızılarslanoğlu, Stanislav Pejša, Nicholas Kregotis Rauh | doi:10.4231/B6F2-9K09

    Addendum and erratum of the pottery in the Context Collection based on analysis and reprocessing of the ceramic materials collected by the pedestrian team and stored in the Alanya Archaeological Museum in 2019.

    https://purr.purdue.edu/publications/3535

  10. 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

  11. 220 Band AVIRIS Hyperspectral Image Data Set: June 12, 1992 Indian Pine Test Site 3

    2015-09-30 14:08:40 | Datasets | Contributor(s): Marion F. Baumgardner, Larry L. Biehl, David A. Landgrebe | doi:10.4231/R7RX991C

    This publication includes the AVIRIS hyperspectral image data for Indian Pine Test Site 3 along with the reference data for this site including observation notes and photos for the fields within the approximately 2 mile by 2 mile area.

    https://purr.purdue.edu/publications/1947

  12. 28-digit values of the recursion coefficients relative to the Airy weight function w(x)= frac{2^{2/3}pi}{3^{5/6}Gamma(2/3)} *x^{-2/3}exp(-x)Ai((3x/2)^{2/3}) on [0,infty]

    2014-03-21 12:01:01 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7QN64N5

    28-digit values of the recursion coefficients for orthogonal polynomials relative to the Airy weight function w(x)= frac{2^{2/3}pi}{3^{5/6}Gamma(2/3)} *x^{-2/3}exp(-x)Ai((3x/2)^{2/3}) on [0,infty]

    https://purr.purdue.edu/publications/1474

  13. 3-D Model of a Beam Clamp for OSHA Fall Safety Training

    2019-11-26 20:00:12 | Datasets | Contributor(s): James L. Jenkins, George Takahashi, Amanda D Luginbuhl | doi:10.4231/PVVE-ZD90

    3-D model of a beam clamp for the OSHA virtual reality simulation fall safety training.

    https://purr.purdue.edu/publications/3342

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

    2019-11-26 19:59:32 | Datasets | Contributor(s): James L. Jenkins, Jordyn Lukomski, George Takahashi | doi:10.4231/P2HD-JT13

    3-D model of a Construction Safety Cone for the OSHA virtual reality simulation fall safety training.

    https://purr.purdue.edu/publications/3343

  15. 3-D Model of a Harness for OSHA Fall Safety Training

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

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

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

  16. 3-D Model of a Step Ladder for OSHA Fall Safety Training

    2019-11-26 19:57:03 | Datasets | Contributor(s): James L. Jenkins, Jordyn Lukomski, George Takahashi | doi:10.4231/JAS3-H131

    3-D model of a step ladder for the OSHA virtual reality simulation fall safety training.

    https://purr.purdue.edu/publications/3344

  17. 32-digit values of the first 100 recurrence coefficients for a Binet-like weight function

    2017-05-31 12:22:27 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R73B5X5B

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=log(1+exp(-abs(x))) on [-Inf,Inf]

    https://purr.purdue.edu/publications/2521

  18. 32-digit values of the first 100 recurrence coefficients for a four-parameter exponential weight function with parameters 1, 1/2, 1/2, -3/2

    2017-02-14 15:13:15 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7W66HSK

    32-digit values of the first 100 recurrence coefficients for the weight function (inverse Gaussian distribution) w(x)=const*x^d*exp(-b/x^a-c*x^a) on [0,Inf], const=exp(1)/√(2*π), a=1, b=c=1/2, d=-3/2

    https://purr.purdue.edu/publications/2379

  19. 32-digit values of the first 100 recurrence coefficients for a four-parameter exponential weight function with parameters 2, 1, 1, 0

    2017-01-30 17:30:03 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7F47M3H

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^d*exp(-b/x^a-c*x^a) on [0,Inf], a=2, b=c=1, d=0

    https://purr.purdue.edu/publications/2374

  20. 32-digit values of the first 100 recurrence coefficients for a four-parameter exponential weight function with parameters a=1/3, b=c=1/2, d=-7/6

    2017-02-14 15:17:26 | Datasets | Contributor(s): Walter Gautschi | doi:10.4231/R7RF5S1T

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=const*x^d*exp(-b/x^a-c*x^a), const=exp(1)/(3*√(2*pi)), a=1/3, b=c=1/2, d=-7/6

    https://purr.purdue.edu/publications/2380

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