Abstract Identifying different anthropometric, physiological and motor aspects is essential to obtain success in sports practice. However, these components may be developed in same age subjects differ

NIAID Data Ecosystem30

MATLAB data file named “Data_MetabolicTimeProfileEstimation.mat” with temporal, kinematic, kinetic, muscle, and metabolic data for both metabolic cost estimation conditions for all participants and conditions.

代谢成本估计

运动生物力学

A text file named “Data_MetabolicTimeProfileEstimation—readme.txt” with an explanation on data organization is included. (ZIP)

NIAID Data Ecosystem50

ExerUP! Kinematics during exergaming

运动生物力学

游戏化运动干预

Kinematics of healthy participants without prior knee injury are included in this dataset. Peak hip extension, knee valgus, and knee internal rotation angles were retrieved during 10-30° of knee flexi

NIAID Data Ecosystem30

athletic performance data

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