Discover datasets

Human electroencephalography (EEG) recordings from 80 participants who reported their attitudes on a set of sociopolitical issues and then viewed photographs of protests about those same issues. Each photo was preceded by a pie chart showing low, medium, or high social support for the issue. After each photo, participants rated their support for the protestors. The dataset supports investigation of how moral conviction and metacognitive ability shape multiple stages of information processing.

Participants

80

Size

101 GB

Version

v1.0.0

Updated

Jun 23, 2026

NOD-MEG is a magnetoencephalography dataset of human subjects viewing naturalistic object images drawn from ImageNet. It extends the Natural Object Dataset-fMRI (NOD-fMRI) with MEG and EEG recorded from the same subjects viewing the same stimuli. Together the modalities offer high spatial and high temporal resolution for studying object recognition. The release includes raw BIDS data, preprocessed continuous data, epochs, and detailed trial-level event tables.

Participants

31

Size

215 GB

Version

v1.0.0

Updated

Jun 27, 2026

Stereo-EEG (intracerebral) recordings from 28 patients with refractory epilepsy during fast periodic visual stimulation, with natural object images presented at 6 Hz and faces as every fifth image (1.2 Hz) in the periodic condition, or at random positions in a non-periodic control condition. The dataset is a derivative release of the authors' Letswave files, low-pass filtered at 30 Hz and segmented into sequences, repackaged in BIDS (BrainVision) format. It supports mapping of face-selective responses in the human ventral occipito-temporal cortex.

Participants

28

Size

5.39 GB

Version

v1.0.0

Updated

Oct 8, 2026

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026

A multimodal porcine dataset of corticothalamic communication recorded during analgesia, sedation, and controlled gradual cerebral ischemia followed by recovery. It includes 11 juvenile pigs monitored across sedation states (isoflurane, fentanyl, propofol), one or two ischemia episodes, and recovery phases. Animals were divided into a sedation-only group and an ischemia group.

Participants

12

Size

1.43 GB

Version

v1.0.0

Updated

May 13, 2026

AJILE12 is a long-term naturalistic intracranial dataset of electrocorticography (ECoG) recorded opportunistically from 12 epilepsy patients during clinical monitoring at Harborview Medical Center. Recordings cover 55 full monitoring days (days 3-7 after implantation) with simultaneous video, from which upper-body pose, validated wrist-movement initiation events and coarse behavioural state labels were derived. This iEEG-BIDS representation converts the original NWB release from DANDI without altering signal values.

Participants

12

Size

1.61 TB

Version

v1.0.0

Updated

Oct 8, 2026

A P300 brain-computer interface EEG dataset from 19 healthy participants, each recorded across 3 sessions. The study examines how visual stimulation conditions, standard flash versus cartoon face stimuli, affect single-option P300-BCI performance across grid sizes of 4 to 9 symbols. Recordings use an 8-channel montage sampled at 256 Hz and include target and non-target event labels.

Participants

19

Channels

8 (10-10)

Citations

16

HED

v8.4.0

Size

482 MB

Version

v1.0.2

Updated

Oct 8, 2026

Electroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.

Participants

50

Channels

63

Citations

3

Size

55.3 GB

Version

v1.0.0

Updated

Mar 14, 2026

This dataset contains scalp EEG recordings from healthy adults during one hour of stimulation. Conditions were 40 Hz audiovisual flicker, no flicker (control), or randomized flicker (sham). Participants performed a psychomotor vigilance task throughout the session.

Participants

69

Channels

32 (10-10)

Size

14.8 GB

Version

v1.0.0

Updated

Jun 30, 2026