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  1. Cinema: On the Classification of Signs and Time: Lecture 23, 07 June 1983

    2018-01-29 21:59:04 | Contributor(s): Gilles Deleuze | doi:10.4231/R7833Q6P

    Lecture given by French philosopher Gilles Deleuze at the University of Paris 8, 07 June 1983. This is lecture 23 of a 23-lecture seminar Deleuze taught between November 1982 and June 1983.

    https://purr.purdue.edu/publications/2726

  2. Circadian Disruption Decreases Gluconeogenic Flux

    2022-11-01 13:29:58 | Contributor(s): Theresa M. Casey, Shawn Donkin | doi:10.4231/JB0Q-DR06

    The data provide here are 13C enrichment ratios of amino acids following incubation in [U-13C] propionate to evaluate carbon flux towards glucose or tricarboxylic acid (TCA) cycle intermediates. These data are presented and discussed in a manuscript.

    https://purr.purdue.edu/publications/4161

  3. Cirrus SR-20 Traversing Saw Cut and Raised Rumble Strips at 15 Knots

    2014-07-31 14:01:53 | Contributor(s): Darcy M. Bullock, Sarah M. Hubbard, Colin D. Furr, Brock Gillum | doi:10.4231/R77D2S24

    This video documents a field test of a Cirrus SR-20 traversing both a saw cut and a raised rumble strip at the Purdue Airport (LAF).

    https://purr.purdue.edu/publications/1708

  4. CIZJP: Matlab programs for conjectured inequalities for zeros of Jacobi polynomials

    2014-04-23 08:30:53 | Contributor(s): Walter Gautschi | doi:10.4231/R7KS6PH4

    Inequalities for the largest zero of Jacobi polynomials are here extended to all zeros of Jacobi polynomials, and new relevant conjectures are formulated.

    https://purr.purdue.edu/publications/1570

  5. Clay Moisture (751401)

    2015-04-30 01:14:38 | Contributor(s): Oscar L. Montgomery | doi:10.4231/R7H70CR4

    Clay moisture measurements.

    https://purr.purdue.edu/publications/1838

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

    2019-01-01 05:00:00 | Contributor(s): Sushant Mehan, Margaret W. 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

  7. 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 | 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

  8. Climate Time Series Analysis using R

    2019-01-01 05:00:00 | 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. Climate-influenced phenology of larval fish transport in a large lake

    2024-04-19 01:24:39 | Contributor(s): Spencer T Gardner, Mark D Rowe, Pengfei Xue, Xing Zhou, Peter J Alsip, David B Bunnell, Paris D Collingsworth, Edward S Rutherford, Tomas O Hook | doi:10.4231/DK82-0T58

    Here, we integrate a series of climate, hydrodynamic, biogeochemical, and Lagrangian particle dispersion models to investigate larval fish transport phenology within a large lake.

    https://purr.purdue.edu/publications/4403

  10. Clustering in Machine Learning Pattern Formation of VO2

    2023-04-07 13:11:35 | Contributor(s): Sayan Basak, Melissa Alzate Banguero, Lukasz Burzawa, Forrest Simmons, Pavel Salev, Lionel Aigouy, Mumtaz Qazilbash, Ivan K. Schuller, Dmitri Basov, Alexandre Zimmers, Erica Carlson | doi:10.4231/966Q-6F95

    Codes used in "Deep Learning Hamiltonians form Disordered Image Data in Quantum Materials" https://arxiv.org/abs/2211.01490 and the resulting visualizations.

    https://purr.purdue.edu/publications/4255

  11. Code and Data for Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic

    2020-02-04 20:30:09 | Contributor(s): Youmi Oh, Qianlai Zhuang, Licheng Liu, Lisa R. Welp-Smith, Maggie C.Y. Lau, Tullis C. Onstott, David Medvigy, Lori Bruhwiler, Edward J. Dlugokencky, Gustaf Hugelius, Ludovica D'Imperio, Bo Elberling | doi:10.4231/Q3R8-SZ17

    This publication contains code and data of a biogeochemistry model, XPTEM-XHAM, for paper "Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic" by Oh et al. accepted in Nature Climate Change.

    https://purr.purdue.edu/publications/3284

  12. Code and Data from Nutrient loading effects on fish habitat quality: Trade-offs between enhanced production and hypoxia in Lake Erie, North America

    2022-01-25 20:37:07 | Contributor(s): Leah Zoe Almeida, Tim Sesterhenn, Daniel K. Rucinski, Tomas Höök | doi:10.4231/EGDX-Q577

    Metadata, model code, and output data for the study "Nutrient loading effects on fish habitat quality: Trade-offs between enhanced production and hypoxia in Lake Erie, North America".

    https://purr.purdue.edu/publications/3931

  13. Code and Dataset for Pattern Recognition Benchmarks

    2016-12-12 19:21:33 | Contributor(s): Jonas Hepp, Yellamraju Tarun, Mireille Boutin | doi:10.4231/R7G73BPN

    This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.

    https://purr.purdue.edu/publications/2030

  14. Code and Dataset for TARP Detection Benchmarks

    2017-05-16 20:07:55 | Contributor(s): Kelsie Larson, Mireille Boutin | doi:10.4231/R7ST7MVC

    The TARP method uses random projections, followed by threshold classifications, to construct receiver-operating characteristic curves and uncover underlying structure in the given data.

    https://purr.purdue.edu/publications/2449

  15. Code and Model results for Soil organic carbon is a key determinant of CH4 sink in global forest soils

    2023-05-09 18:07:22 | Contributor(s): Jaehyun Lee, Youmi Oh, Hojeong Kang, Qianlai Zhuang | doi:10.4231/8K7W-NF84

    This dataset contains code and model results for the paper 'Soil organic carbon is a key determinant of CH4 sink in global forest soils' by Lee et al. (2023).

    https://purr.purdue.edu/publications/4252

  16. Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)

    2022-05-06 19:15:49 | Contributor(s): Daniel Robert Chavas | doi:10.4231/WMMS-XY76

    Simple MATLAB code to predict Rmax from R34kt as explained in Chavas and Knaff (2022) Eq. 2-4 + Eq 7.

    https://purr.purdue.edu/publications/3995

  17. Code for the severe convective storm (SCS) environmental sounding model described in Chavas and Dawson (2021, JAS).

    2022-08-16 14:59:27 | Contributor(s): Daniel Robert Chavas, Daniel Thomas Dawson | doi:10.4231/DP2D-YF95

    Code to produce an idealized severe convective storm (SCS) environmental sounding as described in the paper Chavas and Dawson (2021, JAS).

    https://purr.purdue.edu/publications/4122

  18. Code for tropical cyclone wind profile model of Chavas et al (2015, JAS)

    2022-06-06 15:39:07 | Contributor(s): Daniel Robert Chavas | doi:10.4231/CZ4P-D448

    This code will output a tropical cyclone near-surface wind profile as defined in Chavas et al (2015, JAS); MATLAB or python version

    https://purr.purdue.edu/publications/4066

  19. Coded data from: Risky behaviors in young adults during stair descent: males versus females

    2023-01-26 12:57:27 | Contributor(s): Hye Cho, Amanda Arnold, Chuyi Cui, Zihan Yang, Tim Becker, Ashwini Kulkarni, Anvesh Naik, Shirley Rietdyk | doi:10.4231/F62Q-W758

    2,400 young adult pedestrians were videotaped while descending staircases and the characteristics and behaviors were coded by humans offline. The file contains the coded characteristics and behaviors of each pedestrian.

    https://purr.purdue.edu/publications/4218

  20. Codes for Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins

    2023-01-23 18:46:52 | Contributor(s): Pin-ching Li, Sayan Dey, Venkatesh Mohan Merwade | doi:10.4231/B783-2C47

    This resource contains codes used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)

    https://purr.purdue.edu/publications/4206

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