Discover datasets

A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.

Participants

24

Size

15.0 GB

Version

v1.0.2

Updated

Jul 10, 2026

Imported from OpenNeuro ds004362

Participants

109

Channels

64 (10-10)

Citations

99

HED

v8.1.0

Size

11.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises 64-channel EEG recordings from 20 participants performing a finger motor imagery task, in which finger cues were presented in either random or sequential block orders, counterbalanced across subjects. The paradigm aims to investigate the effects of cue order predictability on motor imagery execution and associated neural dynamics. Data were collected using a g.tec EEG system and organized in BIDS format.

Participants

20

Channels

64 (10-10)

Size

30.6 GB

Version

v1.0.0

Updated

Sep 8, 2026

A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants performing left and right hand motor imagery in response to visual cues. Recorded at 1000 Hz using a 64-channel EEG montage with standardized electrode placement, this dataset supports brain-computer interface research and analysis of ocular activity patterns during motor imagery paradigms.

Participants

31

Channels

62 (10-10)

Citations

11

HED

v8.4.0

Size

33.6 GB

Version

v1.0.3

Updated

Aug 18, 2026

A multi-joint upper-limb motor imagery EEG dataset comprising 18 healthy subjects performing eight distinct imagery tasks involving hand, wrist, elbow, and shoulder movements. The dataset contains 320 trials per subject acquired at 1000 Hz using 62-channel EEG with visual cue-based paradigm, designed for brain-computer interface research and motor rehabilitation applications.

Participants

18

Channels

62 (10-10)

Citations

4

HED

v8.4.0

Size

50.0 GB

Version

v1.0.2

Updated

Aug 18, 2026

BRAR_NQ is a neuroimaging dataset investigating the neural correlates of Quranic recitation through EEG recordings. The dataset explores the brain's reward and anti-reward circuitry in response to melodic recitation of the Noble Quran, combining electroencephalography to map neural activity patterns associated with this unique auditory-linguistic stimulus.

Participants

30

Citations

1

Size

78.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

An auditory event-related potential dataset from 13 healthy subjects performing an oddball paradigm with two sinusoidal tones (target 1000 Hz, non-target 500 Hz) presented at variable stimulus onset asynchronies (60-600 ms). The dataset comprises 31-channel EEG recordings at 1000 Hz acquired with BrainProducts BrainAmp DC during an online closed-loop brain-computer interface experiment designed to optimize stimulation parameters using Bayesian optimization and random search strategies.

Participants

13

Channels

31 (10-10)

Citations

2

HED

v8.4.0

Size

3.68 GB

Version

v1.0.4

Updated

Aug 18, 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

Imported from OpenNeuro ds007175

Participants

1

Channels

64 (10-10)

Size

226 GB

Version

v1.0.0

Updated

Jul 10, 2026

Motor imagery EEG dataset from 8 healthy subjects performing cue-based motor imagination tasks (right hand, feet, rest). Recorded at 512 Hz with 16 electrodes using g.tec g.USBamp amplifier. Dataset comprises 60 trials (20 per class, 3 seconds each) and was developed to validate robust asynchronous EEG-based brain-computer interface control. Data are preprocessed and re-referenced to earlobe.

Participants

8

Channels

16 (10-20)

HED

v8.4.0

Size

232 MB

Version

v1.0.2

Updated

Aug 18, 2026