Datasets: Datasets

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  1. 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

  2. A process-based biogeochemistry model and analysis for current and future global lake methane emissions

    2023-01-25 20:01:56 | Contributor(s): Qianlai Zhuang, Mingyang Guo | doi:10.4231/67YG-V518

    This data contains the source code of a lake biogeochemistry model - Arctic Lake Biogeochemistry Model (ALBM).

    https://purr.purdue.edu/publications/4209

  3. SST profiles and CESM2 model builds for "Westward extension of the Western North Pacific subtropical high forced by sea surface temperature anomaly patterns"

    2023-01-25 18:28:04 | Contributor(s): Jhordanne Jones, Daniel Robert Chavas, Zachary Freitag Johnson | doi:10.4231/R2HS-B771

    Archived model builds and original sea surface temperature (SST) forcing files for simulations used in the manuscript, "Westward extension of the Western North Pacific subtropical high forced by sea surface temperature anomaly patterns".

    https://purr.purdue.edu/publications/4026

  4. 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

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

    2023-01-23 18:48:12 | Contributor(s): Pin-ching Li, Sayan Dey, Venkatesh Mohan Merwade | doi:10.4231/0PG5-KC30

    This resource contains the data 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/4205

  6. Nutrient analysis of corn earleaf at R1 under tillage, crop rotation, nitrogen, and sulfur treatments within a long-term tillage study

    2023-01-11 20:12:37 | Contributor(s): Tony J Vyn, Garrett S Verhagen, Terry D West, Alicia West | doi:10.4231/44K5-EJ32

    Nutrient analysis (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn earleaf at R1 under tillage, crop rotation, nitrogen (2017, 2019), and sulfur treatments (2020, 2021). Part of the Long-Term Tillage study in West Lafayette, IN.

    https://purr.purdue.edu/publications/4192

  7. Grain and stover nutrient content in corn at maturity grown under multiple tillage, crop rotation, and nitrogen treatments

    2023-01-11 20:12:21 | Contributor(s): Tony J Vyn, Garrett S Verhagen, Terry D West, Alicia West | doi:10.4231/GPZW-DR78

    Nutrient content (N, P, K, Ca, Mg, S, Zn, Mn, Fe, Cu, B, and Al) of corn grain and shoot at maturity across five site-years (2015-2019) under tillage, crop rotation, and nitrogen treatments. Part of the Long-Term Tillage study in West Lafayette, IN.

    https://purr.purdue.edu/publications/4194

  8. ACTH and Control Injection Data (WBC differential count, serum corticosterone and cortisol concentrations) for 6, 17, and 26 WOA Pullets

    2022-12-31 00:00:00 | Contributor(s): Meagan Elise Abraham, Priscilla Serpa, Gregory Fraley, Darrin M Karcher | doi:10.4231/PD9D-2B91

    Laying hen pullets were injected with an ACTH or saline solution at 6, 17, and 26 weeks of age. Serum corticosterone and cortisol as well as white blood cell (WBC) differential counts were collected. Injection times, doses, and comments are also...

    https://purr.purdue.edu/publications/4144

  9. Data for Impact of Returning to Class in COVID on University Students' Health

    2022-12-21 18:17:57 | Contributor(s): Qinglan Ding, Mark Daniel Ward, Edward Nancy, Emily Wu, Susan Kersey, Majorie Funk | doi:10.4231/9EYZ-EA71

    This dataset was gathered through a cross-sectional observational study investigating the prevalence and risk factors of mental and general health symptoms among university students attending in-person classes during COVID-19.

    https://purr.purdue.edu/publications/4083

  10. SWAT+ and SWAT Model Parameters for: Sasumua River Watershed, Kenya; Simiyu River Watershed, Tanzania; and, Murchison Bay Watershed, Uganda.

    2022-12-21 13:19:01 | Contributor(s): Margaret W Gitau, Daniel Moriasi, Victoria Garibay, Nicholas Kiggundu, Subira Eva Munishi | doi:10.4231/CKJ4-8354

    SWAT+ (Sasumua) and SWAT (Simiyu, Murchison) model base parameters including parameter descriptions, parameter value ranges, along with default and calibrated values, packaged for easy download and interoperability (csv, txt files).

    https://purr.purdue.edu/publications/4186

  11. Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020

    2022-12-16 16:03:58 | Contributor(s): Eileen J Kladivko, Laura C Bowling, Giorgi Chighladze, Lori Abendroth | doi:10.4231/CTM1-0Y45

    This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020.

    https://purr.purdue.edu/publications/3954

  12. Quantifying physiological trait variation with automated hyperspectral imaging in rice

    2022-12-08 17:11:50 | Contributor(s): To-Chia Ting, Augusto Souza, Rachel Katrina Imel, Carmela R. Guadagno, Chris Hoagland, Yang Yang, Diane Ran Wang | doi:10.4231/SY0A-W347

    To predict rice physiological traits from automated hyperspectral data, 14 physiological traits were collected when the rice plants were six to 13 weeks old. Concurrently, side-view hyperspectral imaging events took place two to three times per week.

    https://purr.purdue.edu/publications/4079

  13. Collection of tweets related to the "Dark MAGA" hashtag

    2022-11-29 17:23:42 | Contributor(s): Matthew N. Hannah | doi:10.4231/C6E8-JM62

    Collection of 1,700 tweets related to the Dark MAGA movement, scraped from Twitter from April 2022 to November 2022, leading up to the 2022 Midterm Elections. Dark MAGA is a particular aesthetic related to far-right political movements.

    https://purr.purdue.edu/publications/4172

  14. Collection of tweets related to QAnon hashtags

    2022-11-29 18:05:40 | Contributor(s): Matthew N. Hannah | doi:10.4231/32MD-DB04

    Collection of 526,843 tweets with QAnon hashtags scraped between July 2020 and May 2021, capturing a snapshot of the months leading up to and following the 2020 Elections and the January 6th Capitol riot.

    https://purr.purdue.edu/publications/4171

  15. Online Spiritual Atlas of the Global East - Hong Kong (OSAGE-HK) Data

    2022-11-29 18:15:14 | Contributor(s): Fenggang Yang, Kim-kwong Chan, Charles Chang, Bing Han, Yuanfei Li | doi:10.4231/MTMA-8479

    OSAGE Religious data

    https://purr.purdue.edu/publications/4162

  16. Precipitation and Temperature Data from 10 CMIP6 Models for Select 12 Stations in Kenya, Tanzania, and Uganda

    2022-11-23 14:43:40 | Contributor(s): Victoria Garibay, Margaret W Gitau, Nicholas Kiggundu, James Kisekka, Victor Kongo, Bancy Mati, Daniel Moriasi, Subira E. Munishi | doi:10.4231/HC4Y-D591

    This dataset contains daily precipitation and minimum and maximum surface air temperature data retrieved from 100m resolution CMIP6 outputs from 1850-Jan-01 to 2100-Dec-31 for four different future scenarios from 10 models for 12 stations.

    https://purr.purdue.edu/publications/4173

  17. Jupyter notebook and SimVascular case files for "Flow rate--pressure drop relations for slender compliant tubes"

    2022-11-23 13:25:30 | Contributor(s): Xiaojia Wang, Shrihari Dhananjay Pande, Ivan C. Christov | doi:10.4231/35CV-PN42

    Zip files with codes and data to make the plots in the manuscript "Flow rate--pressure drop relations for new configurations of slender compliant tubes arising in microfluidics experiments" by Wang, Pande & Christov (2022).

    https://purr.purdue.edu/publications/4055

  18. Biases in U.S. severe convective storm environmentsdriven by biases in mean state near-surface moist static energy across CMIP6 models

    2022-11-23 14:09:10 | Contributor(s): Daniel Robert Chavas, Funing Li | doi:10.4231/9647-TV41

    This database provides data (in NetCDF format) and code for reproducing figures in the manuscript of Chavas&Li (2022).

    https://purr.purdue.edu/publications/3977

  19. Precipitation and Temperature Data from 10 CMIP6 Models for Simiyu River Watershed, Tanzania

    2022-11-18 19:02:15 | Contributor(s): Victoria M Garibay, Margaret W Gitau, Subira E Munishi, Victor Kongo, Daniel Moriasi | doi:10.4231/ZYSE-P594

    This dataset contains daily precipitation and minimum and maximum surface air temperature data retrieved from 100m resolution CMIP6 outputs from 1850-Jan-01 to 2100-Dec-31 for four different future scenarios from 10 models for Simiyu River Watershed.

    https://purr.purdue.edu/publications/4146

  20. Precipitation and Temperature Data from 10 CMIP6 Models for Murchison Bay Watershed, Uganda

    2022-11-18 19:02:43 | Contributor(s): Victoria Garibay, Margaret W Gitau, Nicholas Kiggundu, James Kisekka, Daniel Moriasi | doi:10.4231/1Q67-DZ61

    This dataset contains daily precipitation and minimum and maximum surface air temperature data retrieved from 100m resolution CMIP6 outputs from 1850-Jan-01 to 2100-Dec-31 for four different future scenarios from 10 models for Murchison Bay...

    https://purr.purdue.edu/publications/4145

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.