on005935
Mirror Neuron Study
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005935-blue…
- Participants
- 21
- Size
- 739 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Neuroimaging" · page 6 of 10 · ranked by relevance
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- nm000158
Liu, Lv et al. 2023 — EEG datasets of stroke patients (motor imagery)
EEG Zarr verifiedThis dataset comprises electroencephalography (EEG) recordings from 50 acute stroke patients (1-30 days post-stroke) performing motor imagery tasks of left- and right-handed hand-grip movements. Recorded using a wireless 29-channel EEG system at 500 Hz, the dataset includes raw and preprocessed data, representing the first open resource addressing left- and right-handed motor imagery in the acute stroke population. The dataset supports brain-computer interface (BCI) algorithm development and clinical rehabilitation applications.
- Participants
- 50
- Channels
- 29 (10-10)
- Citations
- 78
- HED
- v8.4.0
- Size
- 1.15 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on006903
ball_squeeze_2025
NIRS[ sampled at 200 Hz. The dataset is designed to benchmark transfer learning and domain adaptation algorithms addressing cross-subject and cross-dataset generalization challenges in brain-computer interfaces.
- Participants
- 2
- Channels
- 32 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 1.99 GB
- Version
- v1.0.5
- Updated
- Aug 20, 2026
- on005776
Electrical_Thermal_FingerTapping_2015
NIRS[ to support neuroprosthetic applications for upper limb control. Data include 360 trials (72 per class) acquired at 256 Hz with 61 EEG channels and 3 EOG channels, preprocessed with ICA-based artifact rejection and bandpass filtering.
- Participants
- 10
- Channels
- 61 (10-05)
- Citations
- 97
- HED
- v8.4.0
- Size
- 4.51 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003039
free walking study
EEG[
- Citations
- 22
- Size
- 7.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000140
BNCI 2015-001 Motor Imagery dataset
EEG Zarr verifiedA two-class motor imagery EEG dataset comprising 12 healthy, right-handed naive subjects performing sustained kinesthetic imagery of right-hand palmar grip versus bilateral feet plantar extension. The dataset includes 2 sessions per subject with 200 trials total (100 per class), recorded at 512 Hz from 13 EEG channels using g.tec hardware with visual and auditory feedback. Data were preprocessed with bandpass filtering (0.5-100 Hz) and notch filtering at 50 Hz, achieving 80% classification accuracy with LDA and Common Spatial Patterns features.
- Participants
- 12
- Channels
- 13 (10-10)
- Citations
- 95
- HED
- v8.4.0
- Size
- 2.83 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on006673
ball_squeeze_Carlton_2025
NIRS[
EEGThis dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 98
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026