on006033
Synchronous EEG and fMRI dataset on inner speech
ANAT EEG FUNC
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006033-blue…
- Participants
- 3
- Channels
- 64
- Citations
- 1
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
99 results for "multimodal" · page 5 of 10 · ranked by relevance
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- nm000160
Multi-joint upper-limb MI dataset from Yi et al. 2025
EEG Zarr verifiedA multi-joint upper-limb motor imagery EEG dataset comprising 18 healthy subjects performing eight distinct imagery tasks involving hand, wrist, elbow, and shoulder movements. The dataset contains 320 trials per subject acquired at 1000 Hz using 62-channel EEG with visual cue-based paradigm, designed for brain-computer interface research and motor rehabilitation applications.
- Participants
- 18
- Channels
- 62 (10-10)
- Citations
- 4
- HED
- v8.4.0
- Size
- 50.0 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000265
Guttmann-Flury et al. 2025 (Motor Imagery) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEG…nm000265) GuttmannFlury2025-MI ==================== Eye-BCI multimodal MI/ME dataset from Guttmann-Flury…
- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 11
- HED
- v8.4.0
- Size
- 33.6 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on002578
Visual Oddball Task (256 channels)
ANAT EEGImported from OpenNeuro ds002578
- Participants
- 2
- Channels
- 256 (biosemi)
- HED
- v8.0.0
- Size
- 1.33 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
- nm000310
Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEG…nm000310) GuttmannFlury2025-SSVEP ======================= Eye-BCI multimodal SSVEP dataset from Guttmann-Flury et…
- Participants
- 11
- Channels
- 62 (10-10)
- Citations
- 12
- HED
- v8.4.0
- Size
- 28.6 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000207
Kojima et al. 2024 (Dataset B) — Four-class ASME BCI: investigation of the feasibility and comparison of two strategies for multiclassing
EEGThis dataset comprises EEG recordings from 15 healthy subjects performing an auditory brain-computer interface task based on the ASME (Auditory Stream segregation Multiclass ERP) paradigm. The study investigates two strategies for achieving four-class classification: ASME-4stream (four independent streams with single target stimuli) and ASME-2stream (two streams with dual target stimuli each). EEG data were recorded at 1000 Hz from 64 channels and analyzed using event-related potential methods and linear discriminant analysis classification, achieving accuracies of 83% and 86% respectively.
- Participants
- 15
- Channels
- 64 (10-10)
- Citations
- 6
- HED
- v8.4.0
- Size
- 23.5 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI
ANAT EEG FUNCThis dataset comprises simultaneous EEG-fMRI recordings from 22 participants (ages 23-51) during naturalistic viewing, collected at the Nathan Kline Institute. The 64-channel EEG data (61 cortical channels, 2 EOG, 1 ECG) was acquired concurrently with fMRI, supplemented by eye-tracking and respiratory recordings. The dataset includes demographic information and behavioral assessments (sleep quality, caffeine intake) to investigate correlations between electrical brain activity and hemodynamic fluctuations during naturalistic stimulation.
- Participants
- 22
- Channels
- 61 (10-10)
- Citations
- 41
- Size
- 256 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003739
Perturbed beam-walking task
EEG[
- Citations
- 162
- Size
- 10.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006647
Poetry Assessment EEG Dataset 2
EEGThis dataset contains 64-channel EEG recordings and behavioural ratings from 4 participants who read and evaluated English-language poetic and non-poetic texts (Haiku, Senryu, and Control). It is a supplementary companion to Poetry Assessment EEG Dataset 1, including participants whose EEG data were acquired in segmented sessions and later concatenated, excluded from primary PSD analyses but retained for completeness. The study investigates neural and psychological correlates of aesthetic appreciation, emotional response, and creativity judgments in response to poetic language.
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003708
Basis profile curve identification to understand electrical stimulation effects in human brain networks
iEEG[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003708-blue…
- Participants
- 1
- Citations
- 3
- Size
- 620 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026