Datasets

Creator
Type
Date

subject: Health and Kinesiology type: dataset

Total is 4 Results
Data for Impact of Returning to Class in COVID on University Students' Health

10.4231/9EYZ-EA71

Edward Nancy, Emily Wu, Majorie Funk, Mark Daniel Ward, Qinglan Ding, 0000-0001-7431-0288, Susan Kersey

12/21/2022

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.

COVID-19 Health and Kinesiology health status Mental Health public health student health

Data and code from: Locomotion control during curb descent: Bilateral ground reaction variables covary consistently during the double support phase regardless of future foot placement constraints

10.4231/65GZ-K658

Ashwini Kulkarni, 0000-0002-9578-1828, Chuyi Cui, Satyajit Ambike, 0000-0003-0521-860X, Shirley Rietdyk

09/16/2022

Spatial-temporal variables, foot placements, and synergy indices that quantify the coordination between the ground reaction variables under both feet while stepping down from a curb. Code for generating figures from the data.

adaptive gait biomechanics gait analysis ground reaction forces Health and Kinesiology locomotor synergy

Data and Code from: Humans prioritize walking efficiency or walking stability based on environmental risk

10.4231/J887-SN98

Ashwini Kulkarni, 0000-0002-9578-1828, Chuyi Cui, Satyajit S Ambike, 0000-0003-0521-860X, Shirley Rietdyk, 0000-0002-4990-3943

09/29/2022

Margin of stability (MOS) and MOS synergy indices that quantify coordination between the step length and the body's motion as healthy young adults approach and cross an obstacle. Code to generate figures from data.

adaptive gait gait analysis Health and Kinesiology locomotor synergy margin of stability obstacle crossing proactive adaptation uncontrolled manifold

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

10.4231/F62Q-W758

Amanda Arnold, Anvesh Naik, Ashwini Kulkarni, 0000-0002-9578-1828, Chuyi Cui, Hye Cho, Shirley Rietdyk, 0000-0002-4990-3943, Tim Becker, Zihan Yang

01/26/2023

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.

adaptive gait biomechanics Ergonomics Falls Gender differences Health and Kinesiology Injury Kinesiology Safety Sex differences Stair Young adults

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