Dataset for "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach"

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.