nm000273
OpenBMI SSVEP EEG dataset (Lee et al. 2019)
EEG
…analysis and benchmarking of brain-computer interface paradigms based on steady-state…
- Participants
- 54
- Channels
- 62 (10-05)
- Size
- 16.9 GB
- Version
- vv1.0.2
- Updated
- Jul 10, 2026
Discover datasets
100 results for "Brain-Computer Interface" · page 8 of 10 · ranked by relevance
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- on006593
cBCI Matrix Multimodal Dataset
EEG…brain-computer interface software in Python. Brain-Computer Interfaces, 8(4), 137…
- Participants
- 21
- Channels
- 19 (10-20)
- Size
- 615 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004196
Bimodal dataset on Inner speech
ANAT EEG FMAP FUNC…is a challenge for brain-computer interfaces (BCIs). A shortcoming of the…
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 9.33 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000219
BNCI 2020-002 Attention Shift (Covert Spatial Attention) dataset
EEG…Gaze-independent brain-computer interface based on covert spatial attention shifts for…
- Participants
- 18
- Citations
- 26
- HED
- v8.4.0
- Size
- 1023 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000270
Liu et al. 2025 — Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients (Tianjin University)
EEG…research on motor-imagery brain–computer interfaces (BCI) for lower-limb and…
- Participants
- 27
- Citations
- 20
- Size
- 5.79 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on006446
Cueing the future to reduce temporal discounting
EEGAn EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 16.1 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000201
ERP paradigm of the Mobile BCI dataset
EEG- Participants
- 24
- Citations
- 32
- HED
- v8.4.0
- Size
- 5.19 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on006519
Dataset of intracranial EEG during cortical stimulations evoking negative motor responses
ANAT iEEGThis dataset comprises intracranial EEG recordings from 23 patients with drug-resistant epilepsy undergoing stereo-EEG presurgical evaluation. The dataset includes 41 high-frequency stimulation events that evoked negative motor responses, with 24-second iEEG recordings per stimulation event (9-10 seconds pre-stimulation, up to 5 seconds stimulation, and 9-10 seconds post-stimulation). Stimulation parameters, contact pairs, current intensities, and evoked effects are documented in event files, enabling analysis of cortical responses to electrical stimulation.
- Participants
- 21
- Size
- 958 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000216
P300 dataset BI2015a from a "Brain Invaders" experiment
EEG…Electroencephalography (EEG), P300, Brain-Computer Interface, Experiment ## Abstract This dataset contains electroencephalographic…
- Participants
- 43
- Citations
- 36
- HED
- v8.4.0
- Size
- 1.93 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis multimodal dataset comprises simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adult participants during two experimental conditions: naturalistic smartphone interaction and standardized video viewing. Hardware-based TTL synchronization enables precise temporal alignment across all physiological modalities, facilitating investigation of neural and physiological responses to digital device interaction.
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 6.12 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026