<?xml version="1.0"?>
<response><xml version="1.0" encoding="UTF-8"><resource xmlns="http://datacite.org/schema/kernel-4" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4/metadata.xsd"><identifier identifierType="DOI">10.60964/rnd-rtyw-9w81</identifier><creators><creator><creatorName nameType="Personal">Knorz AL</creatorName><givenName>Adrian L.</givenName><familyName>Knorz</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/https://orcid.org/0000-0002-7924-0394</nameIdentifier></creator><creator><creatorName nameType="Personal">Zich C</creatorName><givenName>Catharina</givenName><familyName>Zich</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0002-0705-9297</nameIdentifier></creator><creator><creatorName nameType="Personal">Stagg CJ</creatorName><givenName>Charlotte J</givenName><familyName>Stagg</familyName><nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0002-5542-5036</nameIdentifier></creator></creators><titles><title xml:lang="en">Investigating motor fatigue using force, EMG, and kinematic data </title></titles><resourceType resourceTypeGeneral="Dataset">Investigating motor fatigue using force, EMG, and kinematic data </resourceType><publisher>University of Oxford</publisher><publicationYear>2025</publicationYear><dates><date dateType="Issued">2025</date></dates><language>en</language><rightsList><rights rightsURI="https://creativecommons.org/licenses/by-sa/4.0/legalcode">Creative Commons Attribution Share Alike 4.0 International</rights></rightsList><descriptions><description xml:lang="en" descriptionType="TechnicalInfo"><![CDATA[This study is a within-subject design comprising 30 subjects. Each subject performed three rounds of: Maximum Voluntary Contraction (MVC) 3×, Fatiguing Task (FT), MVC 1×, BORG-CR10, Assessment Task (AT), and a recovery period. The only difference between the three rounds was the level of force intensity (5%, 50% or 75% of MVC) during the FT.&nbsp;Electromyography (EMG) of the right and left flexor carpi radialis (FCR) and extensor carpi radialis longus (ECR) muscles was acquired using bipolar configuration with a TMSi Porti7 recorder (Twente Medical Systems International B.V., Oldenzaal, The Netherlands). Small adhesive disposable electrodes with a contact area of 4.5 cm2 (Kendall H124SG; Cardinal Health, Dublin, OH, USA) were used, and placed in a bipolar setup with two electrodes placed next to each other on the bulk of the muscle belly at a fixed distance of 24 mm between the centres of the electrodes. A common grounding electrode was placed on the ulnar styloid process. EMG signals were recorded in raw format at a sampling rate of 2048 Hz and were routed through LSL and LabRecorder.Force data were recorded using a hand dynamometer (Biopac Systems Inc., Aero Camino Goleta, CA, USA) and custom code (https://github.com/cathazi/task-Fatigue.git) implemented in MATLAB R2022a (The MathWorks Inc., Natick, MA, USA) using the Psychophysics Toolbox extensions (Psychtoolbox-3). Force data were sampled at 47.75 Hz. Dynamometer force data were routed through Lab Streaming Layer (LSL) and LabRecorder 1.16.0 (https://github.com/labstreaminglayer/App-LabRecorder/releases/tag/v1.16.0).Kinematic data were acquired using a Kinarm End-Point Lab robot with Dexterit-E 3.9.2 software (BKIN Technologies Ltd., Kingston, ON, Canada).&nbsp;For MVC Force and EMG data are available in .xdf files.For AT Kinarm data are available in .kinarm files and EMG data are available in .xdf files.&nbsp;Each subject folder contains 20 files:SXX_calibration_MVC_1.* - mat &amp; xdfSXX_calibration_MVC_3.* - mat &amp; xdfSXX_calibration_MVC_offset.* - mat &amp; xdf&nbsp;SXX_Fat_TY_ZZ.* - mat &amp; xdf, whereby Y could be 1,2, or 3 indicating the round, and ZZ could be 5, 50, or 75 indicating the fatigue level. Each file contains data for MVC 3, FT, and MVC 1.SXX_Kin_Baseline.* - xdf &amp; kinarmSXX_Kin_TY_ZZ.* - xdf &amp; kinarm, whereby Y could be 1,2, or 3 indicating the round, and ZZ could be 5, 50, or 75 indicating the fatigue level. Each file contains data for AT.&nbsp;For details of the MVC, FT, and AT please see the preprint.&nbsp;In addition, the following Questionnaire data were obtained:&nbsp;AGQ-S = Achievement Goals Questionnaire for SportBIMAN = Bimanual Tasks in Daily Life QuestionnaireBORG = BORG-CR10 rating scaleEHI = Edinburgh Handedness InventoryGPAQ = WHO Global Physical Activity Questionnaire&nbsp;The MATLAB code used for the analysis of this dataset, as used in the preprint, is also available (https://github.com/cathazi/Knorz_2026_Fatigue).&nbsp;]]></description></descriptions><fundingReferences><fundingReference><funderName>Wellcome Trust</funderName><awardNumber>224430/Z/21/Z</awardNumber></fundingReference><fundingReference><funderName>Wellcome Trust</funderName><awardNumber>203139/Z/16/Z</awardNumber></fundingReference><fundingReference><funderName>Wellcome Trust</funderName><awardNumber>203139/A/16/Z</awardNumber></fundingReference><fundingReference><funderName>Harold Hyam Wingate Foundation</funderName></fundingReference><fundingReference><funderName>Medical Research Council</funderName><awardNumber>MC_UU_00003</awardNumber></fundingReference><fundingReference><funderName>National Institute for Health Research Oxford Biomedical Research Centre</funderName><awardNumber>NIHR203316</awardNumber></fundingReference></fundingReferences></resource></xml></response>
