Metadata Form

Fill in the fields below to describe your dataset. When you reach the final step, click Download metadata.json — a JSON file will be saved to your computer. Upload this file alongside your data ZIP to the shared drive. Your progress is saved automatically in your browser.

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Team Info

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Data Type

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Dataset Info

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Participants

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Recording

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Task Protocol

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Labeling

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Review

Team & Dataset Information

Team Name * This will be your identifier in the competition

Team Leader Name *

Team Leader Email *

Dataset Name * Short identifier (e.g., "TibAnt_Isometric_2025")

Dataset Description 0 / 500 characters

Data Type Selection

Data Type *

Experimental HDsEMG

Surface EMG recordings with labelled motor unit spike trains

Experimental HDsEMG + concurrent iEMG

Surface EMG with simultaneous intramuscular validation

Synthetic (Full-Spectrum Simulation)

End-to-end simulation including motor unit pool, volume conduction, and electrode interface

Synthetic (Hybrid Simulation)

Experimental MUAP waveforms combined with simulated spike trains

General Dataset Metadata

License * Select a license CC0 - Public Domain CC-BY-4.0 - Attribution Required CC-BY-NC-4.0 - Non-Commercial Other (specify)

Specify License

Authors *

Funding Sources

Ethics Approval Number *

Ethics Committee Name *

Institution Name *

Institution Address

Participant Information

Number of Participants *

Age Range

to years

Biological Sex Distribution

Female Male Other/Prefer not to say

Health Status *

Healthy controls only Pathological cohort only Mixed (healthy + pathological)

Specify Pathological Conditions

Recording Information

Hardware & Acquisition

Manufacturer *

Manufacturer's Model Name *

Software versions *

Sampling Frequency (Hz) *

Power Line Frequency * Select 50 Hz 60 Hz Not applicable

High-pass Filter *

Low-pass Filter *

Electrode Configuration

EMG Channel Count *

Electrode Material Select Ag/AgCl Gold Platinum Other

Electrode Shape Select Disc Ring Pad Other

Electrode Diameter (mm)

Inter-Electrode Distance (mm) *

Electrode Array Type

Electrode Placement *

Reference & Ground

EMG Reference *

EMG Ground *

Task & Protocol Information

Task Name *

Task Description * 0 / 500 characters

Instructions to Participants

Contraction Type * (check all that apply)

Isometric Dynamic (concentric) Dynamic (eccentric) Dynamic (mixed)

Isometric Contraction Details

Target Force Levels

Contraction Duration (seconds)

Rest Duration (seconds)

Dynamic Contraction Details

Joint Range of Motion

Movement Speed

Load Type Select Bodyweight External load Isokinetic

Number of Trials/Runs *

Auxiliary Data

Force Data Included? *

Yes No

Force Sensor Type

Force Sampling Frequency (Hz)

Force Units Select Newtons (N) Newton-meters (Nm) Percent MVC (%MVC)

Kinematics Data Included? *

Yes No

Motion Capture System

Kinematics Sampling Frequency (Hz)

Tracked Joints/Markers

Video Recording Included?

Yes No

Motor Unit Labeling

Decomposition Method * Select Expert manual annotation Semi-automated (specify algorithm) Fully automated (specify algorithm) Two-source validation (concurrent iEMG) Simulation ground truth

Decomposition Software *

Software Version

Manual Editing Performed?

Yes No

Describe Editing Criteria 0 / 200 characters

Quality Thresholds Applied

Minimum Pulse-to-Noise Ratio (dB)

Minimum Silhouette Score (0-1)

Maximum CoV-ISI (0-1)

Minimum Number of Spikes

Total Number of Motor Units Identified * Across all recordings in this dataset

Synthetic Data Details

Simulation Software *

Simulation Method * 0 / 500 characters

Motor Neuron Pool Model

Number of Motor Units Simulated

Recruitment Model

Rate Coding Model

Volume Conductor Model

Tissue Layers

Conductivity Values

Noise Model

Noise Types (check all that apply)

Thermal noise Motion artifact Crosstalk

SNR Range

Review & Download

Dataset Summary

Generated BIDS Metadata Preview

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I confirm this dataset has ethics approval * I confirm all personal data is anonymized * I agree to license this data under the selected license * I understand I can resubmit up to 3 times *