Discover datasets

NOD-EEG provides electroencephalography (EEG) recordings collected from the same subjects and using the same naturalistic ImageNet stimuli as the previously published NOD-fMRI dataset, extending the Natural Object Dataset (NOD) to include temporal dynamics of visual object recognition. Combined with companion MEG data, this multimodal resource enables investigation of neural mechanisms underlying object recognition across naturalistic scenes with both high spatial and high temporal resolution. The dataset includes raw and preprocessed EEG time series and epoched data, along with detailed trial-level event metadata.

Participants

19

Channels

62 (10-10)

Citations

7

Size

24.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

EEG dataset containing recordings from multiple subjects. This dataset is mirrored on NEMAR from OpenNeuro (ds002833) and contains raw EEG data in BIDS format.

Participants

20

Channels

257 (egi-geodesic)

Citations

4

Size

39.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.

Participants

27

Size

258 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises MEG recordings collected to investigate the sustained neural representations of personally familiar people and places during a cued recall task. Participants were cued to recall familiar individuals and locations while brain activity was measured to examine the temporal dynamics of memory-related representations.

Participants

30

Size

76.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This magnetoencephalography (MEG) dataset comprises recordings from 10 participants performing a human visual motion area (hMT+) localizer task involving passive viewing of coherent and incoherent moving dot stimuli. The dataset includes concurrent anatomical MRI scans and auxiliary physiological recordings (EOG, ECG), formatted according to MEG-BIDS standards. The data were acquired to investigate visual perceptual learning and motion perception mechanisms.

Participants

12

Citations

32

Size

10.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG (iEEG) recordings collected by the Hamilton Lab at the University of Texas at Austin, compiled as a teaching resource for the WIRED ICM course in Paris, 2024. It includes evoked responses to naturalistic auditory stimuli, such as movie trailers and TIMIT speech corpus sentences, alongside illustrative examples of seizure activity and vagus nerve stimulator (VNS) artifact. The dataset is intended to demonstrate typical and atypical intracranial recording phenomena in patients with epilepsy.

Participants

3

Size

348 MB

Version

v1.0.0

Updated

Aug 19, 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

This dataset comprises simultaneous 64-channel EEG and 3T fMRI recordings from 16 subjects performing motor imagery and neurofeedback tasks. Participants were randomly assigned to receive either mono-dimensional or bi-dimensional neurofeedback displays during five experimental runs with alternating rest and task blocks. The dataset includes raw EEG data in Brain Vision format, preprocessed EEG data, BOLD fMRI acquisitions, computed neurofeedback scores from both modalities (EEG and fMRI), and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds006126

Participants

6

Channels

3 (other)

Size

1.08 GB

Version

v1.0.0

Updated

Jul 10, 2026