Datasets: Datasets

  1. A programmable optical stimulator for the Drosophila eye - Supporting biological data for Chen et al. (2017).

    2017-10-27 17:00:32 | Contributor(s): Xinping Chen, Donald F Ready, Vikki Weake, Walter Leon-Salas | doi:10.4231/R75H7DFT

    Confocal microscopy images for Chen et al. (2017). HardwareX. "A programmable optical stimulator for the Drosophila eye" 13-33.

    https://purr.purdue.edu/publications/2831

  2. Loading variable-precision recurrence coefficients

    2017-11-02 22:44:24 | Contributor(s): Walter Gautschi | doi:10.4231/R7T151VZ

    Loading a text file of variable-precision recurrence coefficients into Matlab symbolic or double-precision arrays

    https://purr.purdue.edu/publications/2271

  3. Native and invasive vegetation and soil data in the eastern US

    2017-10-24 20:57:36 | Contributor(s): Insu Jo, Kevin Potter, Grant Domke, Songlin Fei | doi:10.4231/R73F4MSB

    Vegetation and soil data from the FIA Program, which includes vegetation attributes and soil and forest floor attributes of 288 permanent plots across the eastern USA

    https://purr.purdue.edu/publications/2854

  4. 32-digit values of the first 100 recurrence coefficients for the upper subrange Binet weight function on [c,Inf], c=1

    2017-10-24 12:00:29 | Contributor(s): Walter Gautschi | doi:10.4231/R7CZ35CV

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

    https://purr.purdue.edu/publications/2531

  5. 32-digit values of the first 100 recurrence coefficients for the Binet weight function

    2017-10-24 11:59:42 | Contributor(s): Walter Gautschi | doi:10.4231/R7PC30JZ

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

    https://purr.purdue.edu/publications/2533

  6. 32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponent 10

    2017-10-23 16:05:20 | Contributor(s): Walter Gautschi | doi:10.4231/R72N50FJ

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^nu) on [0,Inf], mu=0, nu=10

    https://purr.purdue.edu/publications/2846

  7. 32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponent 8

    2017-10-23 16:04:43 | Contributor(s): Walter Gautschi | doi:10.4231/R76D5R5W

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^nu) on [0,Inf], mu=0, nu=8

    https://purr.purdue.edu/publications/2845

  8. 32-digit values of the first 100 recurrence coefficients for the half-range Freud weight function with exponent 6

    2017-10-23 16:04:03 | Contributor(s): Walter Gautschi | doi:10.4231/R7B56GW6

    32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^nu) on [0,Inf], mu=0, nu=6

    https://purr.purdue.edu/publications/2844

  9. 32-digit values of the first 100 recurrence coefficients for the half-range squared generalized Binet weight function with parameter 1/2

    2017-10-23 16:01:41 | Contributor(s): Walter Gautschi | doi:10.4231/R7FT8J7R

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

    https://purr.purdue.edu/publications/2842

  10. 32-digit values of the first 100 recurrence coefficients for the half-range squared Binet weight function

    2017-10-23 15:57:20 | Contributor(s): Walter Gautschi | doi:10.4231/R7KK98Z2

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

    https://purr.purdue.edu/publications/2841

  11. 32-digit values of the first 100 recurrence coefficients for the half-range generalized Binet weight function with parameter 1/2

    2017-10-23 15:04:28 | Contributor(s): Walter Gautschi | doi:10.4231/R7QC01NW

    32-digit values of the first 100 recurrence coefficients for the half-range generalized Binet weight function w(x)=-log(1-a*exp(-x)) on [0,Inf], a = 1/2

    https://purr.purdue.edu/publications/2840

  12. 32-digit values of the first 100 recurrence coefficients for the squared generalized Binet weight function with parameter 1/2

    2017-10-23 15:56:41 | Contributor(s): Walter Gautschi | doi:10.4231/R7V40SC7

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

    https://purr.purdue.edu/publications/2839

  13. 32-digit values of the first 100 recurrence coefficients for the generalized Binet weight function with parameter 1/2

    2017-10-23 13:09:14 | Contributor(s): Walter Gautschi | doi:10.4231/R7ZW1J3N

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

    https://purr.purdue.edu/publications/2838

  14. Repeated Free-Viewing of a Natural Movie Stimulus Using fMRI

    2017-10-06 13:11:21 | Contributor(s): Kun-Han Lu, Lauren Kelly Marussich, Haiguang Wen, Shao-Chin Hung, Zhongming Liu | doi:10.4231/R71V5C4T

    Video-fMRI dataset acquired by the Laboratory of Integrated Brain Imaging (LIBI, https://engineering.purdue.edu/libi) at Purdue University.

    https://purr.purdue.edu/publications/2830

  15. Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2

    2017-09-18 20:05:34 | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7NS0S1F

    This is a video-fMRI dataset for subject 2 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).

    https://purr.purdue.edu/publications/2806

  16. Performance of Masonry Structures in Nepal

    2017-09-18 17:16:23 | Contributor(s): Prateek Pratap Shah, Pranjal Pratap Shah, Praveen Pratap Shah | doi:10.4231/R7RV0KVB

    A survey of 21 masonry structures was carried out in Kirtipur, Nepal from June 6, 2016 to August 10, 2016.

    https://purr.purdue.edu/publications/2702

  17. Performance of Low-rise Reinforced Concrete Buildings in the 2016 Ecuador Earthquake

    2017-09-18 18:46:37 | Contributor(s): Chungwook Sim, Enrique Villalobos, Jhon Paul Smith, Pedro Rojas, Santiago Pujol, Aishwarya Y. Puranam, Lucas A. Laughery | doi:10.4231/R7ZC8111

    The earthquake in Ecuador occurred on April 16, 2016 with a moment magnitude of 7.8. It caused more than 660 casualties and over 27,730 people were injured. The survey was performed from July 10 through July 17, 2016 in the cities of Manta,...

    https://purr.purdue.edu/publications/2727

  18. Database on Performance of High-Rise Reinforced Concrete Buildings in the 2015 Nepal Earthquake

    2017-09-18 18:48:14 | Contributor(s): Prateek Pratap Shah, Santiago Pujol, Aishwarya Y. Puranam | doi:10.4231/R76T0JSQ

    On April 25, 2015, a magnitude 7.8 earthquake occurred in Nepal. It caused more than 8500 casualties and left over 22000 people injured. Another major earthquake of magnitude 7.3 occurred in Nepal on May 12, 2015.

    https://purr.purdue.edu/publications/2703

  19. An Investigation of the Unit Shear Strength of Geometrically Scaled Reinforced Concrete Beams

    2017-09-18 18:51:47 | Contributor(s): Matthew Murray, Santiago Pujol | doi:10.4231/R7BK19HF

    This study examines the influence of beam size on the shear capacity of geometrically scaled reinforced concrete beams without web reinforcement.

    https://purr.purdue.edu/publications/2697

  20. A New Perspective on the Tensile Strength of Lap Splices in Reinforced Concrete Members

    2017-09-18 17:18:28 | Contributor(s): Brian Richter, Santiago Pujol | doi:10.4231/R7GB2275

    Three series of tests were conducted on specimens with lap lengths varying from 20 to 85 bar diameters. The results indicate that increasing the length of a lap splice beyond 45 bar diameters was an inefficient way to increase the strength of...

    https://purr.purdue.edu/publications/2704

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