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This EEG dataset investigates the neural dynamics of visual object coding across cerebral hemispheres using rapid serial visual presentation. Participants viewed object and word stimuli presented at 5 Hz to the left visual field, right visual field, or central location while performing an orthogonal red target detection task. The dataset provides insights into how visual information is processed and integrated within and across hemispheric regions during peripheral and central vision.

Participants

20

Citations

2

Size

58.8 GB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.

Participants

21

Size

68.3 GB

Version

v1.0.0

Updated

Jun 21, 2026

…arousal_rera — respiratory effort-related arousal arousal_spontaneous — spontaneous cortical arousal arousal…

Participants

1983

Citations

92

Size

401 GB

Version

v1.1.0

Updated

Jun 3, 2026

Brain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.

Participants

10

Size

508 GB

Version

v1.0.0

Updated

Jun 8, 2026

This dataset contains EEG recordings from 36 participants performing a visual discrimination task involving a tilt illusion. Participants judged the orientation of a central grating surrounded by an annular grating at ±30 degrees, which induces a perceptual bias. The study investigates the prestimulus EEG correlates of alpha oscillation power and phase on discrimination performance and the magnitude of the tilt illusion effect.

Participants

36

Citations

1

Size

83.2 GB

Version

v1.0.0

Updated

Jun 26, 2026

…The responses were taken on a scale of 1 to 5, where…

Participants

20

Citations

3

Size

10.1 GB

Version

v1.0.0

Updated

Jun 22, 2026

The Natural Object Dataset (NOD) integrates electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic object stimuli from ImageNet. This multimodal neuroimaging dataset enables investigation of neural mechanisms underlying object recognition in natural scenes by combining high spatial resolution (fMRI) with high temporal resolution (EEG/MEG) recordings, addressing limitations of single-modality approaches in characterizing both spatial representation patterns and temporal dynamics of visual cognitive processing.

Participants

19

Citations

5

Size

24.3 GB

Version

v1.0.0

Updated

Jun 28, 2026

The Natural Object Dataset (NOD) integrates magnetoencephalography (MEG), electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic stimuli from ImageNet. This trimodal neuroimaging resource provides both high spatial resolution (fMRI) and high temporal resolution (MEG/EEG) for investigating object recognition mechanisms. The dataset encompasses diverse naturalistic stimuli and a broad subject pool, facilitating exploration of neural activation patterns across stimuli and subjects. The EEG component is available as a separate dataset (ds005811).

Participants

31

Citations

1

Size

215 GB

Version

v1.0.0

Updated

Jun 27, 2026

…during various tasks. * **Behavioral Responses:** Participant responses during EEG tasks, including reaction…

Participants

447

Size

250 GB

Version

v2.0.0

Updated

May 16, 2026

This magnetoencephalography (MEG) dataset comprises human recordings during a sequential conflict task, designed to investigate neural mechanisms of conflict detection and decision-making. The dataset includes recordings from both healthy controls and patients with movement disorders, enabling investigation of cortico-subthalamic interactions and oscillatory dynamics in the beta frequency band during cognitive conflict processing.

Participants

13

Citations

1

Size

58.3 GB

Version

v1.0.0

Updated

Jun 21, 2026