nm000163
c-VEP and Burst-VEP dataset from Castillos et al. (2023)
EEG
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 20
- HED
- v8.4.0
- Size
- 158 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
Showing 10 of 108 datasets · page 9 of 11
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- nm000162
BNCI 2025-001 Motor Kinematics Reaching dataset
EEG- Participants
- 20
- Channels
- 67 (10-05)
- Citations
- 3
- HED
- v8.4.0
- Size
- 15.0 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000161
BNCI 2024-001 Handwritten Character Classification dataset
EEG- Participants
- 20
- Channels
- 60 (10-10)
- Citations
- 12
- HED
- v8.4.0
- Size
- 10.2 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000158
Liu, Lv et al. 2023 — EEG datasets of stroke patients (motor imagery)
EEG- Participants
- 50
- Channels
- 29 (10-10)
- Citations
- 73
- HED
- v8.4.0
- Size
- 673 MB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)
EEGThis dataset comprises EEG recordings from 12 healthy participants performing upper-limb motor imagery tasks centered on elbow movements. Participants executed kinesthetic imagery of nine goal-directed tasks (drawer opening, soup preparation, weight lifting, door opening, plate cleaning, combing, pizza cutting, and pick-and-place operations) plus rest, cued by visual stimuli. The dataset contains 330 trials recorded at 1000 Hz using 17 EEG channels and is intended for brain-computer interface research and motor imagery classification studies.
- Participants
- 12
- Channels
- 17 (other)
- Citations
- 13
- HED
- v8.4.0
- Size
- 1.61 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000143
BNCI2003_IVa Motor Imagery dataset
EEGThe BNCI2003_IVa Motor Imagery dataset comprises EEG recordings from 5 healthy subjects performing motor imagery tasks (right hand and feet movements) in response to visual cues. This preprocessed dataset, originally from BCI Competition III, contains 280 trials per subject acquired at 100 Hz from 118 EEG channels. The dataset has been extensively used for benchmarking brain-computer interface classification algorithms, particularly for evaluating common spatial patterns and feature combination methods.
- Participants
- 5
- Channels
- 118 (10-05)
- Citations
- 86
- HED
- v8.4.0
- Size
- 493 MB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000142
Ear-EEG motor execution dataset from Wu et al 2020
EEG- Participants
- 6
- Channels
- 122 (10-05)
- Citations
- 10
- HED
- v8.4.0
- Size
- 4.93 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000141
Motor execution dataset from Wairagkar et al 2018
EEG- Participants
- 14
- Channels
- 19 (10-20)
- Citations
- 9
- HED
- v8.4.0
- Size
- 571 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000137
Classical motor imagery dataset with left hand, right hand, and rest
EEG- Participants
- 7
- Channels
- 19 (10-20)
- Citations
- 82
- HED
- v8.4.0
- Size
- 623 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000132
ERP CORE
EEG- Participants
- 40
- Channels
- 30 (10-10)
- Citations
- 95
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- vv1.1.1
- Updated
- Jul 10, 2026