on007629
ROAMM
BEH EEG Zarr
…of attention-related degradation in language decoding from brain activity in naturalistic…
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 46.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
Discover datasets
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- on005296
Assessing sensitivity to semantic and syntactic information in deaf readers: An ERP study
EEG ZarrThis dataset contains EEG recordings from deaf readers who read sentences containing semantic and syntactic violations, used to assess sensitivity to semantic and syntactic information during reading. Event-related potentials were recorded while participants viewed 180 sentences presented word by word, including subject-verb agreement, semantic, double, and word-order violations alongside correct control sentences.
- Participants
- 62
- Channels
- 32 (10-10)
- Citations
- 4
- Size
- 8.53 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000224
Imagined speech EEG dataset — short and long words (Nguyen et al. 2017)
EEG ZarrPreprocessed 64-channel EEG recordings from six healthy participants performing imagined speech of a short word ('in') versus a long word ('cooperate'). The data were band-pass and notch filtered and cleaned of EOG artifacts. They were used to classify imagined speech with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. The dataset is re-hosted in BIDS format through the MOABB benchmark collection.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 99
- HED
- v8.4.0
- Size
- 1.15 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005007
Auditory naming task with questions that begin or end with a wh-interrogative
iEEG Zarr[
EEG ZarrPreprocessed 64-channel EEG recordings from 6 healthy participants performing imagined speech of three short words (out, in, up), cued by auditory and visual stimuli. The dataset contains 1800 trials of a single session, analyzed in the source study with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. It is re-hosted in BIDS format from the MOABB benchmark collection.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 99
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007763
BCCWJ-MEG
ANAT MEG Zarr…enabling cross-modality comparisons of language processing with high spatial and temporal…
- Participants
- 35
- Size
- 166 GB
- Version
- v1.0.0
- Updated
- Jul 6, 2026
- on004317
Mood Manipulation and PST, Experiment 2
EEG Zarr…Task included in Matlab programming language. Data collected from 2019-2021 in…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 18.3 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on004315
Mood Manipulation and PST, Experiment 1
EEG Zarr…Task included in Matlab programming language. Data collected from 2019-2021 in…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 9.81 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
MEG Zarr[
- Citations
- 89
- Size
- 16.6 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026