Discover datasets

A single-pulse transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) dataset acquired in open-loop configuration. This dataset provides concurrent TMS-EEG recordings suitable for investigating cortical responses to magnetic stimulation and characterizing brain reactivity to non-invasive neuromodulation. The dataset comprises recordings from multiple subjects across multiple sessions with concurrent TMS-EEG acquisition.

Participants

20

Channels

30 (10-10)

Size

39.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from 14 healthy participants performing a covert attention task with real-time neurofeedback based on alpha power lateralization. The study investigates whether real-time EEG feedback on alpha power lateralization can lead to behavioral improvements in a covert attention task, employing a single-blinded crossover design comparing real versus sham feedback conditions across three recording sessions.

Participants

14

Channels

64 (10-10)

Size

10.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains MEG recordings from a binocular rivalry experiment conducted in early 2014. Participants were presented with competing visual patterns while neural activity was recorded, with event markers capturing trial structure, stimulus presentations, and behavioral responses including manual tapping and perceptual reports of rivalry dominance. Anatomical MRI data is also included for each participant.

Participants

11

Size

81.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

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 mobile brain body imaging (MoBI) dataset comprises EEG recordings from 18 subjects performing a gait adaptation task on a treadmill. Participants were instructed to synchronize their stepping with an auditory pacing stimulus and adapt their gait parameters (step length and rate) in response to tempo shifts. The dataset provides multimodal neurophysiological data during dynamic motor behavior, enabling investigation of neural mechanisms underlying auditory-motor coupling and gait adaptation.

Participants

20

Channels

108 (10-05)

Size

32.0 GB

Version

v1.0.0

Updated

Jul 10, 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

Beetl2021-B is a preprocessed EEG dataset from the NeurIPS 2021 BEETL competition, focused on transfer learning for motor imagery decoding. It contains 32-channel EEG recordings from 2 healthy subjects performing a 4-class motor imagery task (left hand, right hand, feet, rest) sampled at 200 Hz. The dataset is designed to benchmark transfer learning and domain adaptation algorithms addressing cross-subject and cross-dataset generalization challenges in brain-computer interfaces.

Participants

2

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

1.99 GB

Version

v1.0.5

Updated

Aug 20, 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