Datasets: Datasets

  1. Modeling N2O emission from the pan-Arctic terrestrial ecosystems

    2023-05-17 18:16:28 | Contributor(s): Ye Yuan, Qianlai Zhuang, Bailu Zhao, Narasinha Shurpali | doi:10.4231/KZ5W-DC21

    This dataset contains the main codes and data for the N2O emissions quantification from pan-Arctic terrestrial ecosystems on a process-based biogeochemical model.

    https://purr.purdue.edu/publications/4285

  2. Modeling of Drying of Droplets Containing Passive Solid Particles in Airflow

    2022-06-27 19:54:12 | Contributor(s): Siavash Zamani | doi:10.4231/CD54-GY66

    A 2D/3D FVM solver to model drying of a droplet containing passive Lagrangian particles in airflow. Includes: height function method (fully parallelized), interface mass transfer, spring-mass-damper for balancing droplet.

    https://purr.purdue.edu/publications/4084

  3. Modeling the Sea Level Changes in Guam

    2019-10-14 18:10:56 | Contributor(s): Avnika Manaktala | doi:10.4231/0A0F-7A84

    This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.

    https://purr.purdue.edu/publications/3289

  4. Modified squared Abel polynomials

    2017-02-14 15:01:57 | Contributor(s): Walter Gautschi | doi:10.4231/R78C9T8V

    Matlab routine for the first N recurrence coefficients of modified squared Abel polynomials

    https://purr.purdue.edu/publications/2378

  5. Modulating captive mammalian social behavior: A scoping review on olfactory treatments

    2022-05-16 00:00:00 | Contributor(s): Amanda Barabas, Stephanie Dijak, Jane F Yatcilla, Danielle N Walker, Brianna Gaskill | doi:10.4231/DFTD-XF61

    Dataset from a scoping review on how olfactory signals influence same sex social behavior of terrestrial mammals.

    https://purr.purdue.edu/publications/3986

  6. Monic Hahn orthogonal polynomials with parameters N, a, and b

    2017-02-03 20:10:55 | Contributor(s): Walter Gautschi | doi:10.4231/R7X63JXZ

    Matlab routine for the N+1 recurrence coefficients of monic Hahn orthogonal polynomials with parameters N, a, and b

    https://purr.purdue.edu/publications/2371

  7. Monitored soil moisture and temperature in Indiana crop rotated field

    2020-11-23 17:35:03 | Contributor(s): Stuart D Smith, Keith A Cherkauer, Laura C Bowling | doi:10.4231/FM0P-AJ03

    Soil moisture and temperature data were collected at five different depths from October 2017 to September 2020 in a crop rotated field.

    https://purr.purdue.edu/publications/3313

  8. Motion Predicates in Taiwan Mandarin—A Linguistic Dataset

    2022-05-03 17:11:17 | Contributor(s): Pin-hsi Chen | doi:10.4231/B2WX-QA39

    The dataset contains linguistic data elicited from three Taiwan Mandarin speakers with a software that randomly displays motion events. The data are the utterances produced by the speakers when they described the events.

    https://purr.purdue.edu/publications/4008

  9. Motion Predicates: Moving Along. A tool for the analysis of the sub-eventive structure in motion predicates.

    2019-05-30 18:01:35 | Contributor(s): Elena E. Benedicto | doi:10.4231/R7PN93M4

    Motion Predicates: Moving Along is an application for linguistic analysis that was designed to elicit linguistic productions about motion predicates.

    https://purr.purdue.edu/publications/2366

  10. MQDT data for: Spectroscopy of Rydberg states in erbium using electromagnetically induced transparency

    2021-08-25 14:21:57 | Contributor(s): Arno Trautmann, Manfred Mark, Philipp Ilzhofer, Hagai Edri, Amal El Arrach, Julian Maloberti, Chris H Greene, Francis Robicheaux, Francesca Ferlaino | doi:10.4231/HK40-XM43

    Inside the two folders, MQDT_ns and MQDT_nd, are the data from the calculations used in Phys. Rev. Res. 3, 033165 (2021) with FILE_INFO.txt describing how to use the data.

    https://purr.purdue.edu/publications/3858

  11. MSE Wall Construction Time-Lapse

    2016-11-18 13:52:53 | Contributor(s): Wayne A. Bunnell, Drake W. Krohn, Stephen M. Remias, Darcy M. Bullock | doi:10.4231/R7CN71WB

    This video documents the construction of a mechanically stabilized earth retaining wall on US 31 near I-465 in Carmel, Indiana.

    https://purr.purdue.edu/publications/2282

  12. MTI 18650 Vent Cap CT Scans

    2020-10-27 14:11:12 | Contributor(s): Kyle D Stoll, Kyle R Crompton, Christopher D Hacker, Weisi Li, Jason K Ostanek | doi:10.4231/61G4-S939

    This dataset includes computed tomography (CT) scans of the positive terminal assembly from a commercial lithium-ion battery (model: MTI 18650).

    https://purr.purdue.edu/publications/3502

  13. Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

    2022-02-11 15:07:23 | Contributor(s): Meng-yang Lin, Mitchell R Tuinstra | doi:10.4231/FPHP-0153

    High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

    https://purr.purdue.edu/publications/3958

  14. Multi-Year Study Maize Agrivoltaics Soil Moisture Data

    2024-03-07 13:36:25 | Contributor(s): Geoffrey Alistair Sanchez, Peter Bermel | doi:10.4231/M2Z8-NT18

    Volumetric water content (m^3/m^3) data for agrivoltaic experimental setup. Here will also be the data which was inputed based off a k-fold Bayesian Regularization Neural Network.

    https://purr.purdue.edu/publications/4478

  15. Multifront Approach for Improving Navigation of Autonomous and Connected Trucks

    2022-01-04 19:42:01 | Contributor(s): Imad L. Al-Qadi , Egemen Okte, Jeffery R. Roesler, Hadi Meidani, Yanfeng Ouyang, Sachindra Dahal, Amir Kazemi, Aravind Ramakrishnan, Rui Feng She, Hasan Ozer, Ashraf Alrajhi | doi:10.4231/2EEQ-3R20

    This project have four different blocks. Block I: Real Time Optimization, Block II: Road Network Optimization of ACT Platoons, Block III: Resting Period and Pavement Damage, Block IV: Passive Sensing Paving Material

    https://purr.purdue.edu/publications/3925

  16. Multinomial Logit models raw data for Chicago and Indianapolis

    2022-08-15 16:04:25 | Contributor(s): Lisa Lorena Losada-Rojas, Konstantina Gkritza | doi:10.4231/4SXF-5N11

    These two files contain information regarding a travel survey when respondents share travel habits and opinions regarding travel easiness. It is also the first NHTS effort to include health-related data with travel data.

    https://purr.purdue.edu/publications/4127

  17. Mutations in sorghum SBEIIb and SSIIa affect alkali spreading value, starch composition, thermal properties and flour viscosity

    2019-07-24 17:03:59 | Contributor(s): Stefanie Griebel, Richard Westerman, Adedayo Adeyanju, Charles Addo-Quaye, Bruce A. Craig, Clifford Weil, Suzanne M. Cunningham, Bhavesh Patel, Osvaldo H. Campanella, Mitchell Tuinstra | doi:10.4231/3GBF-RS75

    Seven novel alleles of SBEIIb and one allele of SSIIa co-segregated with the ASV phenotype and contributed to distinct starch quality traits important for food processing applications.

    https://purr.purdue.edu/publications/3238

  18. N-1 Span Damage - Supplementary Materials for the Report: Effects of Realistic Heat Straightening Repair on the Properties and Serviceability of Damaged Steel Beam Bridges

    2014-05-06 19:43:41 | Contributor(s): Amit H. Varma, Young Moo Sohn | doi:10.4231/D3W66984S

    Supplementary Materials for the Report: Effects of Realistic Heat Straightening Repair on the Properties and Serviceability of Damaged Steel Bridges

    https://purr.purdue.edu/publications/1514

  19. N-2 Span Damage - Supplementary Materials for the Report: Effects of Realistic Heat Straightening Repair on the Properties and Serviceability of Damaged Steel Beam Bridges

    2013-10-17 12:41:57 | Contributor(s): Amit H. Varma, Young Moo Sohn | doi:10.4231/D38G8FH7Z

    Supplementary Materials for the Report: Effects of Realistic Heat Straightening Repair on the Properties and Serviceability of Damaged Steel Bridges

    https://purr.purdue.edu/publications/1515

  20. n-TARP Binary Clustering Code

    2018-05-07 14:37:34 | Contributor(s): Yellamraju Tarun, Mireille Boutin | doi:10.4231/R74B2ZJV

    Binary clustering algorithm based on random projections

    https://purr.purdue.edu/publications/2973

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