Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
793
datasets available to search
ShareScore release 0.9.0
Dataset results
793 results for “upper limb”
A dataset for the investigation of upper limb torque prediction from EMG signals
<h1>Motivation</h1> <div>EMG-driven exoskeleton assistance requires the use of intention detection models to associate electromyographic signals with some feature of human movement, such as angular position, velocity, or joint torque. The goal of this dataset is to provide data that allows the benchmarking of such models for a variety of movements.</div> <h1>Short description</h1> <div>This dataset includes kinematic, dynamic and electromyographic data from 17 participants (11 males, age 28.2 ± 7 years, height 175.4 ± 7 cm, weight 70 ± 11 kg). These data were collected during the performance of a sagittal plane upper limb tracking task for single joint (elbow flexion/extension) and multiple joint (elbow and shoulder flexion/extension).</div> <h1>Methodology</h1> <div>A detailed description of the data collection methodology can be found here: https://www.biorxiv.org/content/10.1101/2024.01.11.575155v1</div> <h1>Data Description</h1> <div>The data set consists of 17 folders, one for each participant. Inside each folder you will find</div> <div>- A metadata file (<strong>SXX.json</strong>) containing information about the subject: age, sex, weight, height, and upper limb masses and lengths.</div> <div>- An OpenSim model file (<strong>scaledModel.osim</strong>) containing a scaled upper limb model of the given subject.</div> <div>- A <strong>MVC</strong> folder containing EMG data from maximal voluntary contraction trials</div> <div>- A <strong>SJ</strong> folder containing trial folders for the single joint condition (elbow flexion/extension).</div> <div>- A <strong>MJ</strong> folder containing test folders for the multi-joint condition (elbow and shoulder flexion/extension)</div> <h2>EMG Data</h2> <div>The files containing EMG data have the following header</div> <div><code>TIME,DELTAnt,DELTMed,DELTPost,PECT,LATI,TRILong,TRILat,TRIMed,BICLong,BICShort,BRA,BRD</code></div> <div>This corresponds to a time stamp and EMG signals from the anterior, median and posterior detloids, pectoralis major, latissimus dorsi, long, lateral and median triceps, long and short biceps, brachioradialis and brachialis.</div> <h2>MVC data</h2> <div>The MVC folder contains two files: <strong>emgMVCElbow.csv</strong> and <strong>emgMVCShoulder.csv</strong>. They were collected during the realisation of maximum voluntary contraction tasks and contain raw EMG data sampled at 2 kHz.</div> <h2>Trial data</h2> <h3>Single-joint condition</h3> <div>Single-joint trials contain 5 files:</div> <div>- <strong>emgFilt.csv</strong>: Filtered EMG signals, using a 20-450 Hz bandpass filter, a rectification, a 3Hz lowpass filter and normalized with MVC. Sampled at 100 Hz.</div> <div>- <strong>emgRaw.csv</strong>: Raw EMG signals. Sampled at 2 kHz.</div> <div>- <strong>humanPositions.csv</strong>: Angular position of the elbow in rad. Sampled at 100 Hz.</div> <div>- <strong>humanVelocities.csv</strong>: Angular velocity of the elbow in rad/s. Sampled at 100 Hz.</div> <div>- <strong>muscleTorque.csv</strong>: Joint torque of the elbow in N.m. Sampled at 100 Hz.</div> <h3>Multi-joint condition</h3> <div>Multi-joint trials contain 5 files:</div> <div>- <strong>emgFilt.csv</strong>: Filtered EMG signals, using a 20-450 Hz bandpass filter, a rectification, a 3Hz lowpass filter and normalized with MVC. Sampled at 100 Hz.</div> <div>- <strong>emgRaw.csv</strong>: Raw EMG signals. Sampled at 2 kHz.</div> <div>- <strong>humanPositions.csv</strong>: Angular positions of the upper limb in rad. Sampled at 100 Hz.</div> <div>- <strong>humanVelocities.csv</strong>: Angular velocities of the upper limb rad/s. Sampled at 100 Hz.</div> <div>- <strong>muscleTorque.csv</strong>: Joint torques of the upper limb in N.m. Sampled at 100 Hz.</div> <div>For this trial, kinematic and torque files use the following headers:</div> <div><code>TIME,elv_angle,shoulder_elv,shoulder_rot,elbow_flexion,pro_sup,deviation,flexion</code></div> <div>The columns correspond to the OpenSim model coordinates. For sagittal plane movement, columns of interest are <strong>shoulder_elv</strong> for shoulder flexion/extension and <strong>elbow_flexion</strong> for elbow flexion/extension.</div>
Virtual Reality Upper Limb Therapy for People With Spinal Cord Injury
ClinicalTrials.gov study NCT06154122. IPD Sharing: YES. Countries: 1. Publications: 29.
ECoG Direct Brain Interface for Individuals With Upper Limb Paralysis
ClinicalTrials.gov study NCT01393444. IPD Sharing: YES. Countries: 1. Publications: 1.
Effects of Intermittent Hypoxia in Upper and Lower Limb Functions in Persons With Incomplete Spinal Cord Injury
ClinicalTrials.gov study NCT05491837. IPD Sharing: NO. Countries: 1. Publications: 9.
A Phase III Study to Evaluate the Efficacy and Safety of GSK1358820 in Subjects With Post-stroke Upper Limb Spasticity
ClinicalTrials.gov study NCT03261167. IPD Sharing: YES. Countries: 1. Publications: 1.
Boccia Exercises and Upper Limb Muscle Adaptations in Hemiparetic Individuals
ClinicalTrials.gov study NCT07254273. IPD Sharing: NO. Countries: 1. Publications: 0.
Deep Brain Stimulation Motor Ventral Thalamus (VOP/VIM) for Restoration of Speech and Upper-limb Function in People With Subcortical Stroke
ClinicalTrials.gov study NCT06303869. IPD Sharing: YES. Countries: 1. Publications: 7.
Effect of Bilateral TENS With TOT on Upper Limb Function in Patients With Chronic Stroke
ClinicalTrials.gov study NCT03112473. IPD Sharing: NO. Countries: 1. Publications: 1.
VNS During Rehabilitation for Improved Upper Limb Motor Function After Stroke
ClinicalTrials.gov study NCT02243020. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Autologous Fat Grafting in Upper Limb Burns Scars
ClinicalTrials.gov study NCT07186322. IPD Sharing: NO. Countries: 1. Publications: 24.
Determine the Effect of Targeted High-definition Transcranial Direct Current Stimulation (tDCS) on Reducing Post-stroke Upper Limb Motor Impairments
ClinicalTrials.gov study NCT05479006. IPD Sharing: NO. Countries: 1. Publications: 4.
Myoelectric Upper Limb Orthosis Use by Persons With TBI and Stroke
ClinicalTrials.gov study NCT03215771. IPD Sharing: NO. Countries: 1. Publications: 1.
Robotic Assisted Upper-Limb Neurorehabilitation in Stroke Patients
ClinicalTrials.gov study NCT00372411. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Study Of GSK1358820 In Patients With Post-Stroke Upper Limb Spasticity
ClinicalTrials.gov study NCT00460564. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effectiveness of Intelligent Rehabilitation Robot Training System Combined With Repetitive Facilitative Exercise on Upper Limb Motor Function After Stroke: a Randomized Control Trial.
ClinicalTrials.gov study NCT06435624. IPD Sharing: Not stated. Countries: 1. Publications: 1.
MEDITOXIN® Versus BOTOX® in the Treatment of Post-stroke Spasticity of the Upper Limb Spasticity
ClinicalTrials.gov study NCT01313767. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Tele BCI-FES for Upper -Limb Stoke Rehabilitation
ClinicalTrials.gov study NCT05215522. IPD Sharing: NO. Countries: 1. Publications: 1.
Immersive v/s Non-immersive Virtual Reality in Enhancing Upper Limb Functions Among Individuals With Subacute Stage Hemiplegia
ClinicalTrials.gov study NCT06615141. IPD Sharing: NO. Countries: 1. Publications: 1.
Validation of a Brain-Computer Interface for Stroke Neurological Upper Limb Rehabilitation
ClinicalTrials.gov study NCT04724824. IPD Sharing: YES. Countries: 1. Publications: 2.
Upper Limb Function in Mental Health Disorders
ClinicalTrials.gov study NCT06949449. IPD Sharing: YES. Countries: 1. Publications: 5.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.