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NOD-MEG is a magnetoencephalography dataset of human subjects viewing naturalistic object images drawn from ImageNet. It extends the Natural Object Dataset-fMRI (NOD-fMRI) with MEG and EEG recorded from the same subjects viewing the same stimuli. Together the modalities offer high spatial and high temporal resolution for studying object recognition. The release includes raw BIDS data, preprocessed continuous data, epochs, and detailed trial-level event tables.

Participants

31

Size

215 GB

Version

v1.0.0

Updated

Jun 27, 2026

…Each subject obtained their own structural MRI for MEG source localization. Corresponding…

Participants

30

Size

58.9 GB

Version

v1.0.0

Updated

Jun 26, 2026

…The experiment involves collecting task-based and resting-state fMRI, structural MRI…

Participants

52

Channels

64

Size

109 GB

Version

v1.0.0

Updated

Jun 25, 2026

Epoched stereo-EEG (157 contacts, 200 Hz, 588 trials) from a single patient with post-traumatic stress disorder, recorded during a face interpretation-bias task before and after SEEG-guided radiofrequency ablation of the right amygdala. The data are a BIDS derivative repackaging of the authors' OSF release, including event markers and per-contact anatomical annotations such as amygdala nuclei. The dataset supports analysis of amygdala-related neural activity and interpretation bias in PTSD.

Participants

1

Size

177 MB

Version

v1.0.0

Updated

Oct 13, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002814-blue…

Participants

21

Citations

7

Size

48.6 GB

Version

v1.0.0

Updated

Jun 21, 2026

EEG recordings from 30 healthy participants performing a left-hand grasping motor imagery task versus rest, cued by auditory stimuli, with simultaneous pupillometry. The dataset was recorded with a 32-channel BioSemi ActiveTwo system at 512 Hz across two runs of 25 trials per subject. It supports evaluating whether task-evoked pupil diameter changes can improve EEG-based motor imagery brain-computer interface classification.

Participants

30

Channels

32 (10-10)

Citations

36

HED

v8.4.0

Size

3.22 GB

Version

v1.0.2

Updated

Aug 18, 2026

…pipeline `recon-all` on the MRI data with no additional commandline options…

Participants

1

Size

726 MB

Version

v1.0.0

Updated

Jun 21, 2026

A raw multimodal dataset from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. It includes EEG, fNIRS, ECG, EMG, Biodex torque/kinematics, push-button responses, and subjective ratings of sleepiness and cognitive load. The data are organized in BIDS and are unprocessed exports from the acquisition systems.

Participants

30

Channels

32 (10-10)

Size

4.21 GB

Version

v1.0.0

Updated

Jun 30, 2026

Multimodal dataset of 29 participants watching six educational videos under two conditions: an attentive session with intentional learning and subsequent factual questions, and a distracted session with a silent backward-counting task. Recordings include EEG, EOG, ECG, gaze, pupil size, blinks, saccades and head position. Questionnaires (stimulus knowledge questions and the ASRS adult ADHD checklist) are provided. The dataset supports research on attention and learning from video.

Participants

29

Channels

64 (10-10)

Size

7.47 GB

Version

v1.0.0

Updated

Jun 3, 2026

…seizure 17:27:11, clinicaly confirmed 17:27:14 / MRI T1 and…

Participants

1

Size

709 MB

Version

v1.0.0

Updated

Oct 13, 2026