Data
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/e61d69b&rft.title=Motor unit adaptations in hamstring muscles publication dataset&rft.identifier=RDM ID: 493e534d-7d46-4f30-a5f3-5c60757ae5b1&rft.publisher=The University of Queensland&rft.description=This dataset provides a repository of high-density electromyography (HD-EMG) data used to analyze motor unit adaptations in the hamstring muscles following a 9-week eccentric training intervention. The data is organized by participant across three key timepoints: Pre-training, after 3 weeks of training, and Post-training. Within each timepoint, folders are divided into Raw files (.obt+) and Cleaned files (.mat), with the latter containing decomposed and processed motor unit signals. To facilitate statistical modeling, a centralized Analysed_data directory provides aggregated CSV files featuring motor unit properties for both matched (e.g., MU.0-3, MU.0-10) and unmatched motor units, alongside Root Mean Square (RMS) amplitudes and torque measurements. These data provide detailed insights into the motor unit adaptations of hamstring muscles to eccentric training.&rft.creator=Dr Patricio Pincheira Miranda&rft.creator=Dr Patricio Pincheira Miranda&rft.creator=Honorary Professor Glen Lichtwark&rft.creator=Honorary Professor Glen Lichtwark&rft.creator=Mr Max Andrews&rft.creator=Mr Patricio Andres Pincheira Miranda&rft.date=2026&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Sports science and exercise&rft_subject=HEALTH SCIENCES&rft_subject=Exercise physiology&rft.type=dataset&rft.language=English Access the data

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[email protected]
School of Human Movement and Nutrition Sciences

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This dataset provides a repository of high-density electromyography (HD-EMG) data used to analyze motor unit adaptations in the hamstring muscles following a 9-week eccentric training intervention. The data is organized by participant across three key timepoints: Pre-training, after 3 weeks of training, and Post-training. Within each timepoint, folders are divided into Raw files (.obt+) and Cleaned files (.mat), with the latter containing decomposed and processed motor unit signals. To facilitate statistical modeling, a centralized Analysed_data directory provides aggregated CSV files featuring motor unit properties for both matched (e.g., MU.0-3, MU.0-10) and unmatched motor units, alongside Root Mean Square (RMS) amplitudes and torque measurements. These data provide detailed insights into the motor unit adaptations of hamstring muscles to eccentric training.

Issued: 18 03 2026

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