Datasets: All

Popular tags
  1. Agriculture
  2. Agronomy
  3. Civil Engineering
  4. Computer Science
  5. Crops
  6. Crop Science
  7. ENADALC
  8. Forestry and Natural Resources
  9. Gaussian quadrature
  10. LARS
  11. Mathematics
  12. Matlab
  13. Modification algorithms for orthogonal polynomials
  14. Orthogonal polynomials
  15. Purdue University
  16. Remote Sensing
  17. Soil Science
  18. spectral observations
  19. Walter Gautschi Archives
  20. weight functions

  1. Boğsak Archaeological Survey: Processed Ceramics, 2015

    2020-09-15 15:20:52 | Datasets | Contributor(s): Günder Varinlioglu, Nicholas Kregotis Rauh, Stanislav Pejša | doi:10.4231/08XY-XJ30

    The dataset contains data from the pedestrian survey of the collected ceramic artefacts for the the Boğsak Archaeological Survey in 2015.

    https://purr.purdue.edu/publications/3599

  2. Boğsak Archaeological Survey: Processed Ceramics, 2016 and 2017

    2020-09-15 15:22:02 | Datasets | Contributor(s): Günder Varinlioglu, Nicholas Kregotis Rauh, Stanislav Pejša, Rick Wohmann | doi:10.4231/WF3E-2W39

    The dataset contains data from the pedestrian survey of the collected ceramic artefacts for the the Boğsak Archaeological Survey in 2016 and 2017

    https://purr.purdue.edu/publications/3600

  3. Nitrous oxide emissions and field-level nitrogen balance of maize and other field crops: Data for meta-analysis

    2020-09-14 12:15:46 | Datasets | Contributor(s): Alison J. Eagle, Sylvie M. Brouder, Gustavo Cambareri, Craig F. Drury, Timothy B. Parkin, Douglas R. Smith, G. Philip Robertson, Rodney T. Venterea, Claudia Wagner-Riddle, Cameron M. Pittelkow, Rex A. Omonode, Tony J. Vyn, David E. Pelster, Martin H. Chantigny | doi:10.4231/DFB0-F030

    Dataset for meta-analysis establishing generalized relationship between N2O emissions and field-crop partial N balance. Quantifying on-farm N2O emissions for food-supply chains.

    https://purr.purdue.edu/publications/3557

  4. Sensor-based indicators of performance changes between sessions during robotic surgery training

    2020-09-11 12:44:46 | Datasets | Contributor(s): Denny Yu | doi:10.4231/HYVK-G966

    Ro­botic surgery Eye track­ing Elec­troen­cephalo­gram Sim­u­lated train­ing Per­for­mance

    https://purr.purdue.edu/publications/3596

  5. Data for Intercomparison of thermal regime algorithms in 1-D lake models

    2020-09-08 14:17:02 | Datasets | Contributor(s): Mingyang Guo, Qianlai Zhuang, Huaxia Yao, Malgorzata Golub, L. Ruby Leung, Zeli Tan | doi:10.4231/8246-C724

    This dataset includes the model intercomparison results using the Arctic Lake Biogeochemistry Model (ALBM) and codes for analysis.

    https://purr.purdue.edu/publications/3603

  6. Evaluating Economic Opportunities for Product Recycling via the Sherwood Principle and Machine Learning - Supporting Information

    2020-09-03 23:55:37 | Datasets | Contributor(s): Sidi Deng, Xiaoyu Zhou, Aihua Huang, Yuehwern Yih, John W. Sutherland | doi:10.4231/E80W-7941

    This repository contains the supporting information for the manuscript regarding Sherwood principle and Machine learning. All critical underlying data files, along with a flow chart that describes the methodologies applied in the paper are enclosed.

    https://purr.purdue.edu/publications/3601

  7. Cold and heat tolerances of Juglans cinerea, Juglans ailantifolia, and their hybrids

    2020-09-03 20:01:16 | Datasets | Contributor(s): Andrea N Brennan, Mercedes Uscola, Robert James Joly, Douglass F Jacobs | doi:10.4231/9SSA-3890

    Relative cold and heat tolerances of Juglans species and hybrids through measurement of twig electrolyte leakage following freezer treatments, and leaflet chlorophyll fluorescence following hot water bath treatments

    https://purr.purdue.edu/publications/3594

  8. Raman spectra-based deep learning – A tool to identify microbial contamination

    2020-09-03 23:39:19 | Datasets | Contributor(s): Murali K. Maruthamuthu, Amir Hossein Raffiee, Denilson Mendes De Oliveira, Arezoo M. Ardekani, Mohit S. Verma | doi:10.4231/HQGB-K827

    Raman spectroscopic dataset for the potential microbes contaminating the pharmaceutical industry.

    https://purr.purdue.edu/publications/3595

  9. The enigma of Oligocene climate and global surface temperature evolution

    2020-09-04 16:03:09 | Datasets | Contributor(s): Charlotte O'Brien, Matthew Huber, Ellen Thomas, Mark Pagani, James Super, Leanne Elder, Pincelli Hull | doi:10.4231/SFX6-RZ18

    This is supporting material for "The enigma of Oligocene climate and global surface temperature evolution" published in PNAS in 2020 by O'Brien et al.

    https://purr.purdue.edu/publications/3587

  10. Summer Science Program in Biochemistry - Characterization of the Cdc14 phosphatase homolog from Aspergillus flavus

    2020-08-27 14:12:01 | Datasets | Contributor(s): Sein Lee, Ricardo Jean Linares, Monet Jowers, James Yuxuan Chen, Stephanie Zhang, Fenry Wilson Zhou, Mark C Hall | doi:10.4231/H3N7-QB39

    In SSP Biochemistry, high school participants conduct group research projects to characterize the Cdc14 phosphatase homolog from a phytopathogenic fungus and explore its potential as a novel antifungal target to protect crops from disease.

    https://purr.purdue.edu/publications/3513

  11. Summer Science Program in Biochemistry - Characterization of the Cdc14 phosphatase homolog from Verticillium longisporum

    2020-08-27 14:11:02 | Datasets | Contributor(s): Hyunjun Ahn, Angela Gao, Brandon L Gong, Lea E Twicken, Phuong Linh Vu, Evan A Yandell, Mark C Hall | doi:10.4231/Q5QS-ES90

    In SSP Biochemistry, high school participants conduct group research projects to characterize the Cdc14 phosphatase homolog from a phytopathogenic fungus and explore its potential as a novel antifungal target to protect crops from disease

    https://purr.purdue.edu/publications/3586

  12. Summer Science Program in Biochemistry - Characterization of the Cdc14 phosphatase homologs from phytopathogenic fungi

    2020-08-26 14:07:00 | Series/Dataset | Contributor(s): Mark C. Hall | doi:10.4231/P3QQ-7609

    In SSP Biochemistry, high school participants conduct group research projects to characterize the Cdc14 phosphatase homolog from a phytopathogenic fungus and explore its potential as a novel antifungal target to protect crops from disease

    https://purr.purdue.edu/publications/3514

  13. PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design

    2020-08-26 13:59:50 | Datasets | Contributor(s): Lalit Rajendran | doi:10.4231/P45Z-8361

    Ray tracin based image generation methodology to render realistic images of particle image velocimetry (PIV) and background oriented schlieren (BOS) experiments in the presence of density/refractive index gradients.

    https://purr.purdue.edu/publications/3560

  14. Summer Science Program in Biochemistry - Characterization of the Cdc14 phosphatase homolog from Ustilago maydis

    2020-08-25 17:08:48 | Datasets | Contributor(s): Leyna Duong, Sabra Dunakey, Ketan Jog, Anusha Sriram, Michael Tian, Alex Wang, Mark C Hall | doi:10.4231/RZTW-V362

    In SSP Biochemistry, high school participants conduct group research projects to characterize the Cdc14 phosphatase homolog from a phytopathogenic fungus and explore its potential as a novel antifungal target to protect crops from disease

    https://purr.purdue.edu/publications/3585

  15. Summer Science Program in Biochemistry - Characterization of the Cdc14 phosphatase homolog from Thielaviopsis punctulata

    2020-08-26 12:32:45 | Datasets | Contributor(s): Veronica A Gutierrez, Claire Kim, James Yin, Monica Chang, Benjamin Thomas, Eric J Yuan, Ching Ying Li, Raphael Li, Christopher Ye, Alex J Dong, Reed Lessing, Sivasai R Manyapu, Mark C Hall | doi:10.4231/Q9GK-PH62

    In SSP Biochemistry, high school participants conduct group research projects to characterize the Cdc14 phosphatase homolog from a phytopathogenic fungus and explore its potential as a novel antifungal target to protect crops from disease

    https://purr.purdue.edu/publications/3584

  16. Economic Dimensions of EU Cartels, Detected by the EC in 1990-2017: Food and Agriculture Markets

    2020-08-25 15:14:03 | Datasets | Contributor(s): John M. Connor | doi:10.4231/7KM4-5M78

    The Private International Cartels (PIC) Data Set is a repository of legal-economic information on contemporary price-fixing cartels. This subset covers cartels in food and agriculture industries detected by the EC.

    https://purr.purdue.edu/publications/3367

  17. Economic Dimensions of Cartels Operating in Single, Non-EU Jurisdictions, Detected 1979-2017: Non-Agricultural Products

    2020-08-25 15:11:28 | Datasets | Contributor(s): John M. Connor | doi:10.4231/08WE-QE52

    The Private International Cartels (PIC) is collection of legal-economic information on contemporary price-fixing cartels. The subset covers non-global cartels in the food and agriculture industries detected by jurisdiction other than the EC.

    https://purr.purdue.edu/publications/3371

  18. Economic Dimensions of EU Cartels, Detected by the EC in 1990-2017: Food and Agriculture Markets

    2020-08-25 15:10:34 | Datasets | Contributor(s): John M. Connor | doi:10.4231/MG6G-MW23

    The Private International Cartels (PIC) Data Set is a repository of legal-economic information on contemporary price-fixing cartels. This subset covers cartels outside of the food and agriculture industries detected by the EC.

    https://purr.purdue.edu/publications/3370

  19. Economic Dimensions of Global Cartels, Detected 1990-2017: Non- Food and Agriculture Markets

    2020-08-25 15:05:26 | Datasets | Contributor(s): John M. Connor | doi:10.4231/D7EC-MW59

    The Private International Cartels (PIC) dataset comprises the largest collection of legal-economic information on contemporary price-fixing cartels. The subset covers the global cartels outside of the food and agriculture industries between 1990...

    https://purr.purdue.edu/publications/3369

  20. Economic Dimensions of Global Cartels, Detected 1990-2017: Food and Agriculture Markets

    2020-08-25 15:02:53 | Datasets | Contributor(s): John M. Connor | doi:10.4231/RP5C-P425

    The Private International Cartels (PIC) Data Set comprises the largest collection of legal-economic information on contemporary price-fixing cartels. This subset of covers the global cartels in the food and agriculture industries between 1990 and...

    https://purr.purdue.edu/publications/3366

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries and the Office of the Executive Vice President for Research and Partnerships, with support from additional campus partners.