Datasets: Datasets

  1. Data For Airlines Decision Model Under Competition

    2018-11-16 19:42:11 | Contributor(s): Joseph D Thekinen, Kushal Moolchandani, Jitesh Panchal, Daniel Delaurentis | doi:10.4231/R7C53J4B

    This data was used to model airlines' decision-making on route selection in presence of competition from other airlines. Data from two major US airlines was used in modeling.

    https://purr.purdue.edu/publications/3082

  2. Data for Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis

    2018-11-12 15:47:19 | Contributor(s): Alison J Eagle, Craig F. Drury, Ardell D. Halvorson, John P. Hoben, Bijesh Maharjan, Timothy B. Parkin, G. Philip Robertson, Douglas R. Smith, Rodney T. Venterea | doi:10.4231/R7NS0S57

    Data used in Eagle et al. 2017 (Soil Sci. Soc. Am. J. 81:1191–1202; doi:10.2136/sssaj2016.09.0281). Fertilizer Management and Environmental Factors Drive N2O and NO3 Losses in Corn: A Meta-Analysis

    https://purr.purdue.edu/publications/3063

  3. Data for growing season nitrous oxide emissions from a Gray Luvisol as a function of long-term fertilization history and crop rotation

    2019-02-08 19:38:18 | Contributor(s): Miles Dyck, Mekonnen Giweta, Sukdhev S. Malhi, Sylvie Quideau, Dick Puurveen | doi:10.4231/7SH9-AD91

    Data from 5 growing seasons (2013–2017) investigating long-term fertilization and crop rotation effects on growing season soil N2O and CO2 emissions, wheat yield and N uptake, N2O emission intensity and soil properties on a Gray Luvisol.

    https://purr.purdue.edu/publications/3108

  4. Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Stimuli

    2017-09-15 13:30:17 | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R71Z42KK

    This is a video-fMRI dataset contains the videos with stimuli acquired by the Laboratory of Integrated Brain Imaging (LIBI).

    https://purr.purdue.edu/publications/2808

  5. Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 1

    2017-09-15 13:43:46 | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7X63K3M

    This is a video-fMRI dataset for subject 1 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI),

    https://purr.purdue.edu/publications/2805

  6. 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

  7. Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 3

    2017-09-15 14:54:28 | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7J101BV

    This is a video-fMRI dataset for subject 3 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).

    https://purr.purdue.edu/publications/2807

  8. Data For Relationships of Nitrous Oxide Emissions to Fertilizer Nitrogen Recovery Efficiencies in Rain-fed Corn Systems: Research Foundation Building

    2019-07-23 20:45:02 | Contributor(s): Rex Omonode, Tony Vyn | doi:10.4231/NSKN-0502

    Tillage affected relationships between N2O and NRE; stronger negative linear relationships under no-till and strip-till compared to moldboard. Ecological intensification increased grain yield without significant increase of N2O emission.

    https://purr.purdue.edu/publications/3117

  9. Data from Benefits of Coinfection experiments

    2017-02-28 22:08:02 | Contributor(s): Vanessa Wuerthner, Jessica Hua, Jason Hoverman | doi:10.4231/R7ZS2TG7

    These data correspond to a paper entitled "The benefits of coinfection: Trematodes alter disease outcomes associated with virus infection" by Wuerthner, Hua, and Hoverman published in the Journal of Animal Ecology

    https://purr.purdue.edu/publications/2417

  10. Data from Functional Diversity in Managed Forests

    2017-03-10 00:00:00 | Contributor(s): Bryan Murray, Jeffrey D Holland, Keith Summerville, John Dunning, Michael R Saunders, Michael Jenkins | doi:10.4231/R73F4MM3

    These data correspond to a paper entitled “Functional diversity response to hardwood forest management varies across taxa and spatial scales” by Murray, Holland, Summerville, Dunning, Saunders, and Jenkins, published in the journal Ecological...

    https://purr.purdue.edu/publications/2419

  11. Data from neonicotinoid experiments and field surveys

    2017-03-13 15:41:20 | Contributor(s): Jesse Miles, Jessica Hua, Maria S Sepulveda, Christian Krupke, Jason Hoverman | doi:10.4231/R7RX992T

    Study examining the effects of neonicotinoids on aquatic communities

    https://purr.purdue.edu/publications/2435

  12. Data from: Distantly related crops are not better rotation partners for tomato

    2018-03-20 14:18:39 | Contributor(s): Kathryn Ingerslew, Ian Kaplan | doi:10.4231/R7B856BC

    Data includes results from a greenhouse study that determined the effect of soil conditioning by 36 plant species on subsequent tomato growth. It also determined the effect on the tomato herbivore, the tobacco hornworm.

    https://purr.purdue.edu/publications/2955

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

    2020-01-21 18:39:16 | 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

  14. Data on native tree diversity (species richness and phylogenetic), biomass, relative density, tree height, and invasive plants in forests of the eastern USA

    2018-11-15 16:03:00 | Contributor(s): Basil Iannone, Kevin Potter, Qinfeng Guo, Insu Jo, Christopher Oswalt, Songlin Fei | doi:10.4231/R7GX48TW

    The data published here are used to investigate the drivers of this heterogeneity in the context of known contributions of native trees to the resistance of forests in the eastern United States of America to plant invasions.

    https://purr.purdue.edu/publications/3072

  15. Data Scientist Postings and Data Science Curriculum Datasets

    2018-07-25 15:57:01 | Contributor(s): Corey S Seliger | doi:10.4231/R7B27SJS

    This is a collection of Data Scientist job postings from 5/2018 and curriculum data from higher education institutes that advertise a "Data Science Initiative."

    https://purr.purdue.edu/publications/3043

  16. Data Set: A Rotational Pressure-Correction Scheme for Incompressible Two-Phase Flows with Open Boundaries

    2016-04-25 14:38:24 | Contributor(s): Suchuan Dong | doi:10.4231/R7FB50WP

    Data files for the paper "S. Dong & X. Wang, A Rotational Pressure-Correction Scheme for Incompressible Two-Phase Flows with Open Boundaries, PLOS One, Accepted, 2016"

    https://purr.purdue.edu/publications/2086

  17. 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

  18. Data: Does bottom-line pressure make terrorism coverage more negative? Evidence from a Twenty Newspaper Panel Study.

    2019-12-04 16:20:51 | Contributor(s): Aaron M Hoffman, Dwaine Jengelley | doi:10.4231/WDSQ-MK44

    Data files for the Media, War & Conflict paper: Does bottom-line pressure make terrorism coverage more negative? Evidence from a Twenty Newspaper Panel Study.

    https://purr.purdue.edu/publications/3347

  19. Database of images for low complexity sign detection and text localization method for mobile applications

    2018-02-01 16:43:25 | Contributor(s): Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp | doi:10.4231/R7ZP44BW

    This database contains images that were used for training and testing of our text detection and localization algorithm.

    https://purr.purdue.edu/publications/2896

  20. 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

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