on003801
Neural Tracking to go
EEG
Imported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "cross-modal language processing" · page 5 of 10 · ranked by relevance
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- nm000122
Chen2017 – Single-flicker online SSVEP BCI dataset
EEG…single-flicker spatially coded - **Stimulus modalities**: visual - **Primary modality**: visual - **Synchronicity**: synchronous…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 51
- HED
- v8.4.0
- Size
- 742 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004279
Large Spanish EEG
EEGA large-scale Spanish EEG dataset comprising 60 sessions from 56 healthy participants recorded using 64-channel EEG during speech perception and silent speech production tasks. Participants listened to and silently repeated 30 daily-use Spanish sentences. This dataset enables development of subject-independent deep neural network models for perceived sentence classification, with applications to speech decoding and neuroprosthetics for individuals with speech disorders.
- Participants
- 56
- Channels
- 64 (10-10)
- Size
- 25.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000123
Kalunga2016 – SSVEP Exo dataset
EEG…False ## Signal Processing - **Classifiers**: MDRM, CCA - **Feature extraction**: Covariance/Riemannian ## Cross-Validation…
- Participants
- 12
- Channels
- 8 (10-10)
- Citations
- 74
- HED
- v8.4.0
- Size
- 77.9 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002336
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP1
ANAT EEG FUNCThis dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
- Participants
- 10
- Size
- 18.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003483
Logical reasoning study
MEGThis dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.
- Participants
- 21
- Size
- 68.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006914
Visual Naming EC
iEEG[
- Size
- 585 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000210
BCIAUT-P300 dataset for autism from Simoes et al 2020
EEG…object flash - **Stimulus modalities**: visual - **Primary modality**: visual - **Mode**: online ## HED Event…
- Participants
- 15
- Citations
- 66
- HED
- v8.4.0
- Size
- 3.79 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000229
Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
ANAT MEGMEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.
- Participants
- 27
- Citations
- 42
- Size
- 99.3 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026