Discover datasets

PsiConnect is a large-scale multimodal neuroimaging study investigating context-dependent neural and subjective effects of psilocybin in 62 participants. The dataset combines functional, structural, and diffusion-weighted MRI with concurrent EEG acquired before and after psilocybin administration (19 mg), incorporating resting-state and naturalistic conditions (guided meditation, music listening, movie watching). Half the cohort completed an 8-week meditation training program, enabling investigation of interactions between meditation, psilocybin, and brain function. Comprehensive behavioral and self-report measures were collected acutely and longitudinally up to one year post-administration.

Participants

65

Channels

64 (10-10)

Size

936 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset comprises resting-state transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) recordings from multiple subjects. The study focuses on identifying site- and stimulation-specific TMS-evoked EEG potentials using quantitative cosine similarity metrics to characterize the electrophysiological responses to TMS across different brain regions.

Participants

20

Channels

30 (10-10)

Size

44.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises concurrent EEG and transcranial direct current stimulation (tDCS) recordings from 40 participants performing an attentional blink task. Participants completed two laboratory sessions approximately one week apart, receiving either anodal or cathodal tDCS (1 mA, 20 minutes) while EEG was recorded before, during, and after stimulation. The dataset documents the physiological effects of tDCS on neural correlates of attention and provides a resource for investigating artifact characteristics in concurrent tDCS-EEG recordings.

Participants

47

Channels

64 (10-10)

Size

110 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalographic (EEG) and electrocorticographic (ECoG) recordings from twenty healthy participants and one patient with intractable epilepsy during a tactile detection task with confidence reporting. The study investigates the relationship between evidence accumulation, perceptual consciousness, and metacognitive monitoring using vibrotactile stimuli applied to the wrist with adaptive stimulus intensity. Data were acquired using 62-channel EEG (10-20 montage) at 1024 Hz for healthy subjects and 24-channel ECoG at 2048 Hz for the patient.

Participants

19

Channels

69 (10-10)

Size

27.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

An electroencephalography (EEG) dataset acquired using BioSemi equipment to investigate implicit learning processes. This raw neuroimaging dataset contains EEG recordings organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating standardized analysis and sharing of electrophysiological data.

Participants

61

Size

114 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalographic recordings from 32 participants performing motor imagery tasks during sit-to-stand and stand-to-sit transitions in both offline and online brain-computer interface (BCI) paradigms. Participants completed guided motor imagery trials while seated or standing, with EEG signals recorded from 17 channels at 250 Hz. The dataset includes offline calibration phases used to train machine learning classifiers and corresponding online validation phases where real-time BCI decoding was performed, providing a comprehensive resource for investigating neural correlates of postural transitions and BCI performance.

Participants

32

Channels

17 (10-10)

Size

2.03 GB

Version

v1.0.0

Updated

Jul 10, 2026

The OMEGA Resting State Sample Dataset comprises magnetoencephalography (MEG) recordings from 5 subjects during 5-minute eyes-open resting state sessions acquired at the Montreal Neurological Institute using a CTF 275 system. The dataset includes high-resolution MEG data (297+ channels at 2400 Hz sampling rate), structural T1-weighted MRI images processed with FreeSurfer, 3D head digitization, and fiducial point information organized according to the MEG-BIDS specification. This resource serves as a reference dataset for MEG preprocessing, analysis methodology development, and neuroimaging research.

Participants

6

Size

10.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

A single-subject MEG dataset acquired during an auditory oddball task using a CTF 275 system at 2400 Hz sampling rate. The dataset includes two 6-minute runs with 200 standard tones (440 Hz) and 40 deviant tones (554.4 Hz) presented binaurally, along with behavioral responses, empty room recordings, anatomical MRI, and detailed head digitization. This dataset serves as a tutorial example for the Brainstorm neuroimaging software and is widely used for MEG analysis demonstrations.

Participants

2

Size

2.29 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises neuroimaging data from 8 participants performing functional localizer and movie-viewing tasks acquired simultaneously using Very High Density Diffuse Optical Tomography (VHD-DOT) and functional MRI. The dataset includes raw VHD-DOT data in SNIRF format from sessions 1-2 and fMRI data in NIfTI format from session 3 onwards, with preprocessed fMRI derivatives provided for direct comparison with optical neuroimaging measurements. Published in Imaging Neuroscience (2025).

Participants

8

Size

237 GB

Version

v1.0.0

Updated

Jul 10, 2026

The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.

Participants

20

Channels

30

Size

9.91 GB

Version

v1.0.0

Updated

Jul 10, 2026