nm000281
emg2pose: Surface EMG and Hand Pose
EMG Zarr
…annotations mark samples where inverse-kinematics labels are all zero. - The BIDS…
- Participants
- 193
- Size
- 740 GB
- Version
- v1.0.3
- Updated
- Aug 31, 2026
Discover datasets
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- nm000107
FRL Wrist Control: Wrist Movement Decoding from Surface Electromyography
EMG ZarrNEMAR Dataset nm000107: wrist - Wrist movement control from EMG
- Participants
- 100
- Size
- 24.9 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
- on007554
Multimodal dataset from the CMx7-MM Experiment
BEH EEG NIRS Zarr[
- Size
- 4.21 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000429
Human subthalamic nucleus microelectrode recordings during an interrupted reach task (London et al., 2021)
iEEG…Distinct population code for movement kinematics and changes of ongoing movements in…
- Participants
- 8
- Size
- 11.4 GB
- Version
- v1.0.0
- Updated
- Oct 13, 2026
- on006095
Mind in Motion Older Adults Walking Over Uneven Terrain
EEG ZarrThis dataset contains high-density, dual-layer EEG recorded together with neck EMG, inertial measurement unit acceleration, and ground reaction force from older adults walking over uneven terrain at different speeds. Each participant completed two three-minute trials per walking condition plus a three-minute seated rest trial. Digitized electrode locations are provided for each subject.
- Participants
- 71
- Channels
- 120 (other)
- Size
- 130 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on007420
A Light Weight Multi-Distance fNIRS Dataset for Ball-Squeezing Task and Purposeful Motion Artifact Creation Task
NIRSA multi-distance, high-density fNIRS dataset recorded over the motor cortex with a lightweight system that includes an accelerometer. Participants completed a resting-state recording, a bilateral ball-squeezing task, and a motion creation task with instructed head and facial movements to deliberately induce motion artifacts. The dataset supports work on short-separation regression, motion artifact correction, and diffuse optical tomography image reconstruction.
- Participants
- 12
- Size
- 572 MB
- Version
- v1.0.0
- Updated
- Jun 19, 2026
- on006817
Visual Attribute-Specific Contextual Trajectory Paradigm 2.0
EEG ZarrThis dataset contains raw neuroimaging recordings collected with the Visual Attribute-Specific Contextual Trajectory Paradigm 2.0. The paradigm is used to study how the brain generates domain-general visual surprise signals and how their latency depends on the visual attribute that is violated. It accompanies a pre-print on attribute-dependent latency of visual surprise signals.
- Participants
- 35
- Citations
- 1
- Size
- 11.4 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- nm000165
MUniverse Grison et al 2025
EMG ZarrHigh-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.
- Participants
- 1
- Size
- 1.34 GB
- Version
- v1.0.1
- Updated
- Jun 1, 2026