emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
- Participants
- 108
- Citations
- 1
- Size
- 223 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection
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…There is no stimulation during the distractor or retrieval phases. Stimulation is…
…Signatures of electrical stimulation driven network interactions in the human limbic system…
A raw multimodal dataset from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. It includes EEG, fNIRS, ECG, EMG, Biodex torque/kinematics, push-button responses, and subjective ratings of sleepiness and cognitive load. The data are organized in BIDS and are unprocessed exports from the acquisition systems.
This dataset contains laser-evoked potentials recorded from the human spinal cord and cortex. It combines electrophysiological recordings to characterize nociceptive responses along the neuraxis. The data are organized in EEG-BIDS format and shared under a CC0 license.
A BIDS-formatted dataset of high-density surface EMG (HDsEMG) recordings from the right tibialis anterior of six healthy male participants. Four 64-channel grids (256 electrodes) recorded trapezoidal isometric dorsiflexion contractions at 30% and 50% of maximal voluntary contraction, together with force signals. The dataset supports studies of electrode grid design and motor unit identification.
This dataset contains epidural electrocorticography (ECoG) recordings from a single participant with incomplete tetraplegia, implanted with the WIMAGINE wireless chronic implant over left primary motor and sensory cortex. The participant executed or imagined right-arm reaching and wrist-extension movements, either singly or simultaneously (one executed, one imagined). The release is a derivative, comprising 1-250 Hz band-pass filtered signals from 32 channels across eight sessions, with trial events and M1/S1 electrode labels. It supports study of how motor imagination and execution are decoupled in orthogonal neural representations.
High-density surface EMG (HDsEMG) recordings from the right tibialis anterior of a single healthy participant performing submaximal isometric ankle dorsiflexions at 10 to 70 percent of maximal voluntary contraction. Signals were acquired with two 64-electrode arrays (128 electrodes total) alongside force measurements. The dataset includes labeled motor unit spike trains derived from concurrent invasive EMG, and supports motor unit decomposition research.
NEMAR Dataset nm000107: wrist - Wrist movement control from EMG