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  1. Native tree and nonnative pest (insect and pathogen) species richness across the conterminous United States

    2019-03-14 21:07:16 | Datasets | Contributor(s): Qinfeng Guo, Songlin Fei, Kevin Potter, Andrew Liebhold | doi:10.4231/MM0B-JT53

    Data presented in this publication include county level pest diversity and native host and non-host diversity and biomass.

    https://purr.purdue.edu/publications/3114

  2. Shape-from-Echoes: MAGMA Code V1

    2019-02-01 19:48:04 | Datasets | Contributor(s): Gregor Kemper | doi:10.4231/Q3AN-YR91

    MAGMA Code to compute

    https://purr.purdue.edu/publications/3105

  3. Python Programming Exercise With Specimen Data for Two Snakes

    2019-01-16 21:52:33 | Datasets | Contributor(s): Michael Witt, Olof Olsson, Sean P. Brophy | doi:10.4231/D7D2-EA24

    Specimen data including feeding schedules for a python and boa constrictor with a learning exercise for the python programming language that was used in the Engineering in the World of Data Learning Community at Purdue University

    https://purr.purdue.edu/publications/3103

  4. T1-weighted brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database

    2019-01-16 22:06:30 | Datasets | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/4668-DM62

    A population-specific brain atlas based on the T1-weighted MR scans from 215 adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group.

    https://purr.purdue.edu/publications/3096

  5. Climate Projection Data for 21st century for the Western Lake Erie Basin (Indiana, Ohio, and Michigan)

    2019-01-01 05:00:00 | Datasets | Contributor(s): Sushant Mehan, Margaret Gitau | doi:10.4231/R7GX48SF

    Climate data from ground-based climate stations obtained from National Climate Data Center and bias corrected climate values from different climate models for different emission scenarios for the entire Western Lake Erie Basin.

    https://purr.purdue.edu/publications/2980

  6. Climate Projections for the Western Lake Erie Basin for medium and high emission scenarios for hydrologic modeling assessment studies (Indiana, Ohio, and Michigan)

    2019-01-01 05:00:00 | Datasets | Contributor(s): Sushant Mehan, Margaret Gitau | doi:10.4231/R7C53J3W

    The observed climate data and bias corrected climate projections based on data from sixteen different ground based climate stations from National Climatic Data Center for hydrology and climate change studies.

    https://purr.purdue.edu/publications/2979

  7. Spatial-Temporal Climate Projection Data for 21st-century for the Western Lake Erie Basin (WLEB) for hydrologic studies

    2019-01-01 05:00:00 | Datasets | Contributor(s): Sushant Mehan, Margaret Gitau | doi:10.4231/R73R0R42

    Temporal climate projection data for 2006-2099 for sixteen different climate stations for the Western Lake Erie Basin. This dataset includes data for climate stations in Indiana, Ohio, and Michigan.

    https://purr.purdue.edu/publications/2981

  8. Climate Time Series Analysis using R

    2019-01-01 05:00:00 | Datasets | Contributor(s): Sushant Mehan, Margaret Gitau | doi:10.4231/R77H1GTX

    Time series analysis of climate data using R

    https://purr.purdue.edu/publications/3031

  9. CHI 2019 Evolution of UX Knowledge Stack Exchange Vocabulary

    2019-01-03 21:47:25 | Datasets | Contributor(s): Yubo Kou, Colin M. Gray | doi:10.4231/WKW4-8Q48

    Dataset based on data collected and analyzed from UX Stack Exchange from 2008-2017. This data was used for the following publication at CHI 2019: A Practice-Led Account of the Conceptual Evolution of UX Knowledge...

    https://purr.purdue.edu/publications/3100

  10. Uniform Soybean Tests Northern Region 2017

    2018-12-03 16:55:42 | Datasets | Contributor(s): Guohong Cai, Gary Nowling | doi:10.4231/R7GQ6W1Q

    This dataset contains tables prepared for the 2017 Uniform Soybean Tests Northern Region Report.

    https://purr.purdue.edu/publications/3089

  11. Advisors' Climate Risk Perceptions and Use of Climate Information: 2016 Survey Data

    2018-11-30 05:00:00 | Datasets | Contributor(s): Vikram Koundinya, Jenna Klink, Amber Mase, Courtney Robinson, Tonya Haigh, Ajay Singh, Sarah Church, Melissa Widhalm, Linda Stalker Prokopy | doi:10.4231/R7G44N9S

    Midwestern agricultural advisors were surveyed in late 2016 to measure their perceptions and attitudes about weather and climate, their awareness of the U2U project, and their use of U2U tools.

    https://purr.purdue.edu/publications/2535

  12. Farmers' Climate Risk Perceptions and Use of Climate Information: 2016 Survey Data

    2018-11-30 00:00:00 | Datasets | Contributor(s): Ajay Singh, Jackie Getson, Laura Esman, Vikram Koundinya, Jenna Klink, Amber Mase, Tonya Haigh, Melissa Widhalm, Linda Stalker Prokopy | doi:10.4231/R78W3BBV

    Midwestern farmers were surveyed in late 2016 to measure their perceptions and attitudes about weather and climate, their awareness of the U2U project, and their use of U2U tools.

    https://purr.purdue.edu/publications/2534

  13. The Drosophila Dbf4 ortholog Chiffon forms a complex with Gcn5 that is necessary for histone acetylation and viability - Supporting data for Torres-Zelada et al. (2018)

    2018-12-11 16:36:59 | Datasets | Contributor(s): Eliana F. Torres-Zelada, Robert E. Stephenson, Aktan Alpsoy, Benjamin D. Anderson, Selene K. Swanson, Laurence Florens, Emily C. Dykhuizen, Michael P. Washburn, Vikki Weake | doi:10.4231/R72V2DD0

    Supporting data and protocols for for Torres-Zelada et al. (2018). The Drosophila Dbf4 ortholog Chiffon forms a complex with Gcn5 that is necessary for histone acetylation and viability. Journal of Cell Science.

    https://purr.purdue.edu/publications/3068

  14. Uniform Soybean Tests Northern Region 2016

    2018-11-30 17:27:20 | Datasets | Contributor(s): Steve Scofield, Brandon Schemerhorn, Guohong Cai, Gary Nowling | doi:10.4231/R7X0659D

    This dataset contains tables prepared for the 2016 Uniform Soybean Tests Northern Region Report.

    https://purr.purdue.edu/publications/3087

  15. Uniform Soybean Tests Northern Region 2015

    2018-11-30 17:27:41 | Datasets | Contributor(s): Steve Scofield, Brandon Schemerhorn, Gary Nowling | doi:10.4231/R7N58JD9

    This dataset contains tables prepared for the 2015 Uniform Soybean Tests Northern Region Report.

    https://purr.purdue.edu/publications/2491

  16. Responses of dominant tree-mycorrhizal associations to anthropogenic impacts in the USA

    2019-03-12 15:13:23 | Datasets | Contributor(s): Insu Jo, Songlin Fei | doi:10.4231/R76D5R7S

    Data published here are used to understand anthropogenic influences on tree mycorrhizal associations in USA forests

    https://purr.purdue.edu/publications/3085

  17. Data For Airlines Decision Model Under Competition

    2018-11-16 19:42:11 | Datasets | 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

  18. 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 | Datasets | 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

  19. Forest biodiversity, productivity, and associated biotic and abiotic factors in USA

    2018-11-12 19:23:02 | Datasets | Contributor(s): Songlin Fei, Insu Jo | doi:10.4231/R7SB440D

    This publication includes plot level information from USA forests, which has the following variables: Plot ID, Ecoregion, MAT, TAP, Aridity index, Stem density, Stand age, C:N ratio, Richness, and Productivity.

    https://purr.purdue.edu/publications/3070

  20. Shifts in forest composition in the eastern United States

    2018-11-08 21:45:18 | Datasets | Contributor(s): Songlin Fei, Jonathan A Knott | doi:10.4231/R7C827JN

    Aim Forest ecosystems in the United States (US) are facing major challenges such as climate change, exotic invasion, and fragmentation. It is widely believed that forest composition in the eastern US are transitioning from shade-intolerant,...

    https://purr.purdue.edu/publications/2862

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