Discover datasets

A stereoelectroencephalography (SEEG) dataset containing resting state recordings from two patients with epilepsy. The dataset includes raw recordings acquired using Sinovation SDE-08 medical-grade depth electrodes with standardized specifications. This resource provides intracranial electrophysiological data suitable for investigating epileptic activity and brain network dynamics at high spatial resolution.

Participants

2

Size

709 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw MEG and EEG recordings from a study investigating how the brain represents object space dimensions through temporal dynamics analysis. The main folder contains raw MEG data for all participants in BIDS format. The sourcedata folder contains raw EEG data in BDF format along with concurrent behavioral trial data documenting stimulus presentation and trial structure. Participants performed a visual task while neural activity was recorded from both modalities.

Participants

21

Channels

64

Size

35.5 GB

Version

v1.0.0

Updated

Jul 22, 2026

A color change detection task dataset organized in BIDS format containing intracranial electrophysiological (iEEG) recordings from participants performing a visual perception task. Participants were required to detect color changes in visual stimuli while neural activity was recorded from implanted electrodes. The dataset includes raw iEEG data, electrode localization information, and task event markers, organized according to the iEEG-BIDS specification. This standardized format facilitates reproducible analysis and sharing of human intracranial brain imaging data. For complete attribution and dataset documentation, please refer to the dataset files and associated publications.

Participants

24

Size

13.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalography (EEG) recordings from a repeated awakening study investigating the effects of propofol sedation on dreaming and the utility of complexity measures in capturing consciousness dynamics. Participants underwent multiple sedation-awakening cycles with EEG recordings during wakefulness (eyes open and closed), sedation, and transcranial magnetic stimulation sessions. The study aims to elucidate the relationship between EEG complexity measures and subjective dream experiences during pharmacological sedation.

Participants

21

Channels

65 (10-10)

Size

77.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from an alphabetic decision task using Arial Light font, collected to investigate sub-letter orthographic processing through optimal transport modeling. Participants performed a letter discrimination task while EEG data were recorded and synchronized with behavioral responses and stimulus information. The dataset includes 6 participants with detailed annotations of recording issues and data quality markers.

Participants

16

Channels

64 (10-10)

Citations

2

Size

10.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalographic (EEG) recordings from 23 participants performing a passive viewing task involving visual scenes with occluded and uncovered game pieces. Participants viewed scenes with varying numbers of visible and hidden objects to investigate neural responses to object numerosity under occlusion conditions. The study employed a factorial design with 640 trials across eight blocks, systematically manipulating the number of initially visible pieces (4 or 32) and uncovered pieces (0-32) to examine how the brain processes object quantity in partially occluded visual scenes.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

The Podcast ECoG dataset provides intracranial electrophysiological recordings from 9 participants with 1,330 electrodes during natural story listening. This dataset combines high spatiotemporal resolution human electrocorticography with a naturalistic language comprehension paradigm, including raw and preprocessed high-gamma data, auditory stimuli, word-level transcripts, and linguistic features from acoustic properties to large language model embeddings. The resource includes tutorials and serves as both a pedagogical tool and foundation for investigating neural mechanisms of narrative comprehension.

Participants

9

Size

14.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains neuroimaging data from a study investigating the neural mechanisms of expectation and conflict processing. The research examines how the brain anticipates and responds to conflicting stimuli, with implications for understanding cognitive control and decision-making processes. Data were collected from multiple participants and are formatted according to BIDS standards.

Participants

29

Channels

66 (10-10)

Citations

10

Size

63.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This event-related potential (ERP) study investigates neural mechanisms underlying the integration of fingerspelling, printed English words, and American Sign Language (ASL) signs in deaf readers. Using a priming paradigm with 300 prime-target pairs, the dataset captures electrophysiological responses to identity and translation primes across three modalities, providing insights into cross-modal language processing in the deaf population.

Participants

24

Channels

32 (10-10)

Size

2.62 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains intracranial electrophysiology recordings and behavioral data from a categorized free recall task with real-time closed-loop brain stimulation during encoding. Participants studied semantically organized word lists, performed distractor tasks, and freely recalled items while a machine learning classifier trained on prior sessions predicted subsequent memory performance and triggered stimulation for low-confidence encoding events. The study demonstrates the application of predictive neural decoding to modulate memory encoding through targeted electrical stimulation.

Participants

9

Size

12.2 GB

Version

v1.0.0

Updated

Jul 10, 2026