on006104
EEG dataset for speech decoding
EEG Zarr
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- Size
- 83.8 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
Discover datasets
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- on007056
PURSUE P300 Visual Oddball
EEG ZarrEEG dataset of a visual oddball (P300) task from the PURSUE project, collected in 2017 and 2018 from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia. The task design follows the ERP CORE paradigm, and the dataset includes participant demographic information such as race.
- Participants
- 286
- Channels
- 32 (10-10)
- Size
- 7.84 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- nm000218
BigP3BCI Study H — 9x8 checkerboard with gaze conditions (16 healthy subjects)
EEG Zarr…True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest public…
- Participants
- 16
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.76 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on004017
Embodied Learning for Literacy EEG
EEG Zarr fidelity issueEEG recordings from children performing letter discrimination and visual search tasks involving the mirror-image letters b and d, collected in an embodied learning for literacy study. Each participant completed a pre-intervention discrimination task, an intervention-phase visual search task, and a post-intervention discrimination task. Participants were assigned to an intervention or control group, and events mark stimulus presentation of b and d letters, including practice trials.
- Participants
- 21
- Channels
- 64 (10-10)
- Size
- 36.6 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- nm000247
BigP3BCI Study S1 — 9x8 face/house paradigm (10 healthy subjects)
EEG Zarr…True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest public…
- Participants
- 10
- Channels
- 32 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 1.56 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on003516
EEG: Attended Speaker Paradigm (Own Name in Ignored Stream)
EEGEEG recordings from 25 participants performing a two-competing-speaker selective attention task, in which they attended to either the left or right audio book. The participant's own name was embedded 10 times per block in the to-be-ignored stream, allowing study of attention capture and neural tracking of attended and ignored speech. Blocks alternated between an omnidirectional condition (equal loudness) and a beamforming condition (attended stream louder).
- Participants
- 25
- Channels
- 47 (egi-geodesic)
- Citations
- 38
- Size
- 13.5 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- nm000336
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study R)
EEG Zarr…True Tags ---- Modality: visual Type: perception Documentation ------------- Description: BigP3BCI: the largest public…
- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 6.59 GB
- Version
- v1.0.4
- Updated
- Oct 8, 2026
- on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
BEH EEG ZarrThis dataset provides high-density (128-channel) EEG and mouse-tracking data from 31 adults aged 18-33, collected in 2020. It includes resting-state recordings and task recordings from food preference choices and semantic judgments. The resource is intended for studying the dynamic decision processes underlying binary choices in the human brain.
- Participants
- 31
- Channels
- 129 (egi-geodesic)
- Citations
- 5
- Size
- 153 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- nm000197
BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects)
EEG Zarr…True ## Tags - **Modality**: visual - **Type**: perception ## Documentation - **Description**: BigP3BCI: the largest public…
- Participants
- 21
- Channels
- 16 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.38 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on002718
Face processing EEG dataset for EEGLAB
ANAT EEG ZarrThis dataset is the EEG and structural MRI portion of a multi-subject, multi-modal face processing study (originally ds000117), repackaged in EEGLAB format with augmented event logs and HED annotation. Eighteen participants viewed famous, unfamiliar, and scrambled faces while making symmetry judgments. The original study had two sessions (fMRI and simultaneous MEG/EEG); only the MEEG session's EEG data and the structural MRI are included here, while MEG and fMRI data are excluded. Minimal preprocessing, including EEG channel extraction, event correction, and resampling to 250 Hz, yields a lightweight version suitable for tutorials and EEG source localization.
- Participants
- 18
- Channels
- 70 (other)
- Citations
- 84
- Size
- 4.31 GB
- Version
- v1.0.0
- Updated
- May 25, 2026