Dataset for "Does preferred technique influence how kinematics change during a run to exhaustion?

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data archive 10696 disk0/00/00/15/50 2025-12-09 10:11:12 2026-02-13 08:06:40 2025-12-09 10:11:12 data_collection show Rodriguez Rivadulla Adrian A.Rodriguez.Rivadulla@bath.ac.uk 0000-0003-4046-4750 University of Bath FALSE Chen Xi xc841@bath.ac.uk 0000-0002-3577-3308 University of Bath FALSE Cazzola Dario D.Cazzola@bath.ac.uk 0000-0001-7877-6755 University of Bath FALSE Trewartha Grant G.Trewartha@tees.ac.uk 0000-0002-9021-8956 University of Bath FALSE Preatoni Ezio E.Preatoni@bath.ac.uk 0000-0001-5383-7072 University of Bath; University of Edinburgh TRUE Dataset for "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach" GS0020 dept_health biomechanics, running, kinematics, exercise physiology, treadmill running, fatigue The dataset contains a single directory which includes the following files, supporting the associated publication "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach": - Clust_multispeed_ptlabels.csv contains the cluster labels for each participant in the dataset derived from a previous associated publication: Rivadulla et al. (2024) "Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy". - MasterDataSheet.xlsx contains demographics, anthropometrics and physiological information from each of the participants. Participants have a unique identifier, preserving their anonymity. - MasterDataSheet_column_naming.txt describes the column names and units in MasterDataSheet.xlsx - Sess2_kinematics_data.npy contains a python dictionary storing the spatiotemporal (stride time and duty factor) and continuous kinematics variables (centre of mass vertical displacement for each participant and segment of the long run (start, mid, end). Participant codes, segment identifier and cluster labels are included in the misc key of the dictionary. - Sess2_physio_data.npy contains a python dictionary storing the physiological variables collected for each participant during the long run. Scripts to replicate the results of the study can be found in the associated "fatigue_runners" GitHub repository and they show how to access the data within these files. 2025-12-09 University of Bath public https://github.com/adrianrivadulla/fatigue_runners GitHub repository containing the associated scripts This dataset includes physiological and biomechanical data during running on a treadmill at constant speed to exhaustion to replicate the results of the associated publication. RightsHolder University of Bath University of Bath https://doi.org/10.13039/501100000835 NURVV This dataset includes motion capture and indirect calorimetry data. Full details on the systems and procedures used can be found in the associated publication. The .npy files may be read with the NumPy Python library. https://doi.org/10.1080/14763141.2024.2372608 en 1 10.15125/BATH-01550 https://doi.org/10.7717/peerj.20673 pub https://doi.org/10.15125/BATH-01636 data open