on004196
Bimodal dataset on Inner speech
ANAT EEG FMAP FUNC
…Multimodal datasets of brain data enable the fusion of neuroimaging modalities with…
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 9.33 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neuroimaging" · page 7 of 10 · ranked by relevance
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- nm000140
BNCI 2015-001 Motor Imagery dataset
EEG- Participants
- 12
- Channels
- 13 (10-10)
- Citations
- 95
- HED
- v8.4.0
- Size
- 1.13 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005935
Mirror Neuron Study
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 cueing, yielding 1,800 trials suitable for BCI research and benchmarking.
- Participants
- 6
- Channels
- 60 (10-10)
- HED
- v8.4.0
- Size
- 379 MB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on007666
Grupos Pre and Post bids
EEG[
- Size
- 619 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000156
Hybrid EEG-fNIRS MI dataset for ICH from Shi et al 2025
EEG- Participants
- 37
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 2.59 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004502
Anticipatory differences between Attention and Expectation
EEG[
- Size
- 59.4 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005571
Expectation of Conflict Stimuli
ANAT EEG FMAP FUNC[
- Size
- 62.8 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000338
Lee et al. 2019 (Motor Imagery) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.
- Participants
- 23
- Channels
- 62 (10-05)
- Citations
- 98
- HED
- v8.4.0
- Size
- 60.8 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- on005089
Proactive selective attention across competition contexts
EEG[
- Size
- 68.0 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026