Discover datasets

A BIDS-formatted derivative dataset of steady-state visually evoked potential (SSVEP) EEG recordings from 54 subjects across 2 sessions, containing 21,600 trials recorded at 1000 Hz with 62 channels. This dataset, derived from the Lee et al. 2019 source dataset, has been standardized using the Mother of All BCI Benchmarks (MOABB) framework to enable reproducible benchmarking and analysis of brain-computer interface paradigms based on SSVEP stimulation.

Participants

54

Channels

62 (10-05)

Citations

100

Size

72.4 GB

Version

v1.0.7

Updated

Aug 18, 2026

This dataset contains SSVEP (Steady-State Visually Evoked Potential) EEG recordings from 12 healthy subjects seated in an exoskeleton-equipped wheelchair, collected as part of E. Kalunga's PhD research at the University of Versailles. Subjects focused on LED panels flickering at 13, 17, and 21 Hz, or on a fixation point (reject/rest class), across 1–5 sessions per subject. The dataset was designed for developing online SSVEP-based brain-computer interface (BCI) systems using Riemannian geometry, with applications toward assistive robotics.

Participants

12

Channels

8 (10-10)

Citations

74

HED

v8.4.0

Size

160 MB

Version

v1.0.1

Updated

Aug 18, 2026

The EEG Moments Dataset (EMD) provides EEG responses from 6 human subjects to 1,102 naturalistic 3-second videos with audio, serving as the EEG companion to the BOLD Moments Dataset (BMD) fMRI dataset. Each subject viewed a 1,000-video training set 6 times and a 102-video testing set 24 times, with concurrent eye-tracking (gaze and pupil size) recorded during central fixation. Videos are annotated with object, scene, and action labels, textual descriptions, spoken transcriptions, and memorability scores, enabling multimodal analyses of visual and auditory naturalistic event processing.

Participants

6

Size

210 GB

Version

v1.0.0

Updated

Sep 8, 2026

A comparative evaluation dataset of steady-state visually evoked potential (SSVEP) based brain-computer interfaces, comprising 14-channel EEG recordings from 11 healthy subjects performing attention tasks on flickering visual stimuli at five different frequencies (6.66–12.00 Hz). The dataset includes preprocessed signals, artifact annotations, and comprehensive documentation of signal processing pipelines for benchmarking state-of-the-art BCI algorithms.

Participants

11

Channels

14 (10-10)

Citations

39

HED

v8.4.0

Size

277 MB

Version

v1.0.2

Updated

Aug 18, 2026

64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666

Participants

95

Channels

64 (10-10)

Citations

28

Size

21.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalography (EEG) recordings from a study investigating how expectation modulates repetition suppression of neural responses to nociceptive (pain-related) stimuli. It provides raw EEG data organized in BIDS format, intended to support analyses of expectation effects on cortical processing of repeated nociceptive stimulation.

Participants

36

Channels

32 (10-10)

Size

42.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG recordings from a single patient undergoing single-pulse electrical stimulation, collected at Mayo Clinic as part of an NIH-funded initiative to develop a comprehensive database of stimulation responses. The study aims to advance understanding of human brain connectivity and network responses to electrical stimulation across the lifespan through systematic analysis of evoked potentials and network effects.

Participants

1

Citations

3

Size

620 MB

Version

v1.0.0

Updated

Jul 10, 2026

The BETA SSVEP benchmark dataset comprises 64-channel EEG recordings from 70 healthy subjects performing a 40-target cued-spelling brain-computer interface task using steady-state visual evoked potentials (SSVEP). Recorded in a naturalistic classroom environment with joint frequency and phase modulation stimuli, this dataset provides a realistic benchmark for SSVEP-BCI applications with frequencies ranging from 8.0 to 15.8 Hz and 3-second trial durations.

Participants

70

Channels

64 (10-10)

Citations

97

HED

v8.4.0

Size

7.72 GB

Version

v1.0.2

Updated

Aug 18, 2026

Imported from OpenNeuro ds003825

Participants

50

Channels

63

Citations

1

Size

59.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 19 participants performing a cyber-physical systems task involving prediction error processing with multimodal sensory stimulation. Participants received visual, vibrotactile, and electrical muscle stimulation (EMS) across three experimental blocks while their brain activity was recorded using a 63-channel high-density EEG system. The study investigates neural responses to prediction errors in a haptic interaction task with varying levels of sensory realism.

Participants

19

Channels

63 (10-10)

Citations

53

Size

11.4 GB

Version

v1.0.0

Updated

Jul 10, 2026