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

A comprehensive EEG database containing electroencephalographic signals from 87 healthy participants performing motor imagery brain-computer interface tasks. The dataset comprises over 20,800 trials (~70 hours of recording) organized into three datasets (A, B, C) using a standardized Graz protocol for right and left hand motor imagery. In addition to raw EEG signals, the database includes detailed participant demographics, personality profiles, cognitive traits, and BCI performance metrics, enabling research on user-performance relationships, cross-user machine learning algorithms, and profile-informed signal classification.

Participants

87

Channels

27 (10-10)

Citations

38

HED

v8.4.0

Size

15.8 GB

Version

v1.0.4

Updated

Aug 18, 2026

MIPDB is a multimodal neuroimaging resource comprising high-density EEG (128-channel, 500 Hz) and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of cognitive and perceptual tasks including resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search. This dataset enables investigation of information-processing maturation across human development.

Participants

111

Size

110 GB

Version

v1.0.0

Updated

Aug 14, 2026

This dataset comprises EEG recordings and behavioural responses collected while participants viewed images of scenes and rated aesthetic properties (beauty, complexity, interestingness) or judged their appropriateness for reading or social activities. The study investigates perceived affordances of environments, particularly staircases, using neural and behavioural measures. Full stimulus images and extracted behavioural data accompany the raw EEG recordings.

Participants

26

Channels

64 (other)

Citations

1

Size

12.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

An open-access electroencephalography dataset of motor imagery brain-computer interface performance under six different distraction conditions. Sixteen healthy participants performed left versus right hand motor imagery while experiencing flickering video, number search tasks, news listening, eyes closed state, vibro-tactile stimulation, or no distraction. The dataset comprises 504 trials per subject recorded at 1000 Hz with 63 EEG channels, including one calibration run without feedback and six feedback runs with distinct distraction manipulations.

Participants

16

Channels

63 (10-05)

Citations

13

HED

v8.4.0

Size

72.1 GB

Version

v1.0.7

Updated

Aug 18, 2026

Participants

20

Channels

32 (10-10)

Citations

1

Size

7.75 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains continuous 64-channel scalp EEG recordings from 12 right-handed subjects performing a visual attention task designed to examine dimension-based attentional modulation of early visual processing. The data include independent component analysis (ICA) decompositions with expert-annotated component labels, originally collected for a study on visual attention and later reused for research on automatic classification of independent components. The dataset was converted to BIDS format from the original recordings with permission from the original authors.

Participants

12

Channels

64 (10-10)

Citations

35

Size

5.63 GB

Version

v1.0.0

Updated

Aug 19, 2026

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 clinical metadata such as seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations, making it suitable for developing and validating automated signal classification algorithms in clinical neurophysiology.

Participants

14

Size

20.8 GB

Version

v1.0.2

Updated

Jul 10, 2026

This dataset comprises raw multimodal recordings from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. Data include EEG, fNIRS, ECG, EMG, torque/kinematic, behavioral (push-button), and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.

Participants

30

Channels

32 (10-10)

Citations

1

Size

4.21 GB

Version

v1.0.0

Updated

Aug 18, 2026

Participants

4

Channels

14 (10-10)

Citations

82

Size

152 MB

Version

v1.0.0

Updated

Jul 10, 2026