Discover datasets

This intracranial EEG dataset contains recordings from 2 subjects performing a visual task involving presentation of gratings and noise patterns. The dataset was collected to investigate stimulus-dependent gamma oscillations in human visual cortex and the relationship between neuronal synchrony, local field potentials, and BOLD responses. Raw data are organized according to BIDS specification and include behavioral annotations and stimulus files.

Participants

2

Size

637 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This derivative EEG dataset from the ERC PROMENADE project investigates how different types of cues (physical, mental imagery, literal, and metaphorical) influence the neural processing of target pictures in a picture-matching task. Comprising 39 participants and 238 files (14.8 GiB), the dataset includes preprocessed EEG data with high-pass (0.10 Hz) and low-pass (45 Hz) filtering, ICA-based artifact removal, and behavioral measures of task accuracy and individual differences in vocabulary and mental imagery abilities. The study examines event-related potentials as participants judge whether target pictures match preceding cue information across four experimental conditions. The study was approved by the Ethics Committee of the Department of Brain and Behavioral Sciences of the University of Pavia (protocol number 123/2023).

Participants

39

Channels

58 (10-10)

Size

14.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains event-related potential (ERP) data from a picture naming task with semantic priming. Participants named line drawings preceded by semantically related, identity-related, or unrelated English distractor words while 32-channel EEG was recorded. The study investigates how semantic and identity priming influences neural responses during picture naming, with potential applications to understanding lexical access and semantic processing in the brain.

Participants

29

Channels

32 (10-10)

Size

2.28 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electroencephalography (iEEG) recordings from ten epilepsy patients performing a visuomotor task (Speed Match) during interictal periods. The dataset includes continuous iEEG data across five sessions per subject, with detailed channel information and trial timing annotations. This resource provides a unique opportunity to investigate neural correlates of visuomotor processing in patients with implanted electrodes for seizure localization.

Participants

8

Size

817 MB

Version

vv1.0.0

Updated

Jul 10, 2026

A derivative EEG dataset from a reinforcement learning task (3-armed bandit) examining decision-making and cue reactivity in hazardous drinkers versus controls. Data were collected from 53 community participants between 2019-2021 and processed using the NEMAR-pipeline. This dataset investigates electrophysiological markers of aberrant exploration patterns in response to alcohol versus beverage cues.

Participants

53

Channels

56 (10-10)

Size

5.64 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 29 participants who listened to song melodies and made familiarity judgments. Participants indicated when songs felt familiar, attempted to identify songs by title, artist, or lyrics, and selected from multiple-choice options with visual feedback. Song stimuli were derived from Kostic and Cleary (2009), and synchronized audio reconstructions of each participant's experimental session are provided in the derivatives folder.

Participants

29

Channels

32

Size

7.51 GB

Version

vv1.0.0

Updated

Jul 10, 2026

SeizeIT2 is a multicenter prospective study validating wearable EEG (Sensor Dot device) in adult and pediatric patients with refractory epilepsy. The dataset comprises 125 patients from 5 European epilepsy monitoring units, containing approximately 11,640 hours of simultaneous wearable EEG, ECG, EMG, and movement data with 886 annotated focal seizure events recorded during presurgical evaluation. This is a BIDS-reorganized version of the original OpenNeuro dataset (10.18112/openneuro.ds005873.v1.1.0), with metadata organized according to BIDS specification and annotations formatted as BIDS-score compatible files.

Participants

125

Channels

2

Size

117 GB

Version

vv1.0.0

Updated

Jul 10, 2026

EEGEyeNet is a simultaneous electroencephalography and eye-tracking dataset designed for eye movement prediction research. This BIDS-standardized version contains raw neurophysiological recordings from a single subject extracted from the larger EEGEyeNet dataset, providing a benchmark resource for investigating the relationship between neural activity and oculomotor behavior.

Participants

1

Channels

129 (egi-geodesic)

Size

43.5 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises event-related potential (ERP) recordings from a visual word recognition task employing a flanker manipulation paradigm. Participants viewed four-letter words and pseudowords presented with varying flanker conditions (no flanker, identical flankers, or different flankers) while seated in a sound-attenuated room. The study investigates how flanking stimuli modulate neural responses to lexical processing, with 270 trials per participant collected at the NeuroCognition Laboratory at San Diego State University.

Participants

48

Channels

32 (10-10)

Size

2.93 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The Flankers-NEAR dataset comprises event-related potential (ERP) recordings collected during a visual word recognition task with flanker manipulation. Participants viewed four-letter words and pseudowords presented with varying flanker conditions (no flanker, identical flankers, or different flankers) while their neural responses were recorded. This dataset provides neurophysiological evidence for understanding how contextual linguistic information modulates word recognition processes.

Participants

60

Channels

32 (10-10)

Size

3.57 GB

Version

vv1.0.0

Updated

Jul 10, 2026