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  1. RCSP Ceramics Collections at Kestros, 1997

    2019-02-22 20:49:32 | Datasets | Contributor(s): Matthew Dillon, Hatice Kızılarslanoğlu, Stanislav Pejša, Nicholas Kregotis Rauh | doi:10.4231/R71J97ZB

    Rough Cilicia Survey Project Ceramics Collections at Kestros, 1997

    https://purr.purdue.edu/publications/2151

  2. RCSP Ceramics Collections at Iotape, 1996

    2019-02-22 20:28:58 | Datasets | Contributor(s): Matthew Dillon, H. Asena Kızılarslanoğlu, Stanislav Pejša, Nicholas Kregotis Rauh | doi:10.4231/R75B00N5

    Rough Cilicia Survey Project Ceramics Grab Collections at Iotape, 1996

    https://purr.purdue.edu/publications/2159

  3. RCSP Ceramics Collections at Antiochia ad Cragum, 1997 and 2004

    2019-03-21 19:46:04 | Datasets | Contributor(s): Matthew Dillon, H. Asena Kızılarslanoğlu, Stanislav Pejša, Nicholas Kregotis Rauh | doi:10.4231/R7930RCH

    Rough Cilicia Survey Project Ceramics Collections at Antiochia ad Cragum, 1997 and 2004

    https://purr.purdue.edu/publications/2154

  4. Global coexpression analysis of genes in haplotype-phased genome of tetraploid blueberry.

    2019-02-18 21:58:42 | Datasets | Contributor(s): Jennifer Wisecaver, Patrick Edger | doi:10.4231/0FAA-GK65

    Global coexpression analysis of blueberry genome identify genes co-regulated during fruit development and associated with phytonutrient biosynthesis

    https://purr.purdue.edu/publications/3123

  5. LIS-Noah daily hydroclimatic dataset for ten U.S. Midwest sites 1980-2012

    2019-02-15 15:50:11 | Datasets | Contributor(s): Elin M Jacobs | doi:10.4231/806P-DA90

    Simulated dataset with air temperature, precipitation, ET, soil water content (4 layers) and soil temperature (4 layers) at a daily time scale (1980-2012) for ten 4 by 4 km grids across the U.S. Midwest.

    https://purr.purdue.edu/publications/2571

  6. Reducing Nitrous Oxide Emissions with Enhanced Efficiency Nitrogen Fertilizers in Wheat Production in Manitoba, Canada

    2019-02-18 22:23:14 | Datasets | Contributor(s): Mario Tenuta, Matthew Wood, Xiaopeng Gao | doi:10.4231/FXR5-F070

    This project was conducted to quantify and compare the application time (fall, spring) and source (EEF, non-EEF) effects of nitrogen fertilizers on nitrous oxide emissions and agronomic measurements of spring wheat in southern Manitoba, Canada.

    https://purr.purdue.edu/publications/3122

  7. Evaluation of nitrogen stabilizers - nitrogen use efficiency and greenhouse gas emissions in Alberta cereal crops

    2019-02-08 19:37:35 | Datasets | Contributor(s): Miles Dyck, Len Kryzanowski, Yuanpei Gao, Dick Puurveen | doi:10.4231/MDJM-0529

    These data files summarize spring wheat yields and annual soil N2O emissions (non-steady-state chamber measurements) at two sites in Alberta, Canada (Lethbridge and Ellerslie) over 2016 and 2017.

    https://purr.purdue.edu/publications/3115

  8. 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 | Datasets | 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

  9. STEM Hopes and Goals for Elementary Students

    2019-02-08 19:59:14 | Datasets | Contributor(s): Kerrie A Douglas, Johannes Strobel | doi:10.4231/8ETN-4N68

    This is the Hopes and Goals survey published in Douglas, K. A., & Strobel, J. (2015). Hopes and Goals Survey for use in STEM elementary education. International Journal of Technology and Design Education, 25(2), 245-259....

    https://purr.purdue.edu/publications/3119

  10. Combine Kart Truck GPS Data Archive

    2019-02-07 16:38:28 | Datasets | Contributor(s): Yaguang Zhang, James Krogmeier | doi:10.4231/4Z4S-M018

    GPS data for agricultural vehicles collected during wheat harvesting.

    https://purr.purdue.edu/publications/3083

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

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