on006012
A geometric shape regularity effect in the human brain: MEG dataset
ANAT MEG
…Below are some notes about the MEG dataset of N=20 participants…
- Participants
- 21
- Citations
- 13
- Size
- 71.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
78 results for "OPM-MEG" · page 6 of 8 · ranked by relevance
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- on002094
Single-pulse open-loop TMS-EEG dataset
EEGA single-pulse transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) dataset acquired in open-loop configuration. This dataset provides concurrent TMS-EEG recordings suitable for investigating cortical responses to magnetic stimulation and characterizing brain reactivity to non-invasive neuromodulation. The dataset comprises recordings from multiple subjects across multiple sessions with concurrent TMS-EEG acquisition.
- Participants
- 20
- Channels
- 30 (10-10)
- Size
- 39.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002885
DBS Phantom Recordings
MEG…The comparative performance of DBS artefact rejection methods for MEG recordings, NeuroImage…
- Participants
- 2
- Citations
- 36
- Size
- 20.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000311
Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)
EEGA multimodal EEG dataset comprising motor imagery and motor execution data from 25 healthy subjects performing 11 intuitive upper-limb movement tasks (6 reaching, 3 grasping, 2 wrist twisting) across 3 sessions. The dataset includes 71-channel EEG recordings (60 EEG, 4 EOG, 7 EMG channels) sampled at 1000 Hz with synchronized behavioral annotations, designed for brain-computer interface research and motor control applications. This is a BIDS-formatted derivative dataset converted from the original Jeong et al. 2020 publication using MOABB (Mother of All BCI Benchmarks).
- Participants
- 25
- Channels
- 71 (10-10)
- Citations
- 82
- HED
- v8.4.0
- Size
- 326 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEG…dataset contains raw and processed MEG data for the paper "Model-based…
- Participants
- 28
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on004078
A synchronized multimodal neuroimaging dataset to study brain language processing
ANAT DWI FUNC MEG…They completed both fMRI and MEG visits (first completed fMRI then MEG…
- Participants
- 12
- Citations
- 6
- Size
- 1.36 TB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on000117
Multisubject, multimodal face processing
ANAT BEH DWI FMAP FUNC MEG…Multi-subject, multi-modal (sMRI+fMRI+MEG+EEG) neuroimaging dataset on face…
- Participants
- 17
- Citations
- 83
- Size
- 169 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on001849
RS_TMSEEG_Data
EEGThis dataset comprises resting-state transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) recordings from multiple subjects. The study focuses on identifying site- and stimulation-specific TMS-evoked EEG potentials using quantitative cosine similarity metrics to characterize the electrophysiological responses to TMS across different brain regions.
- Participants
- 20
- Channels
- 30 (10-10)
- Size
- 44.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003568
Mood induction in MDD and healthy adolescents
ANAT MEG…on003568) This dataset contains the MEG and structural MRI data from the…
- Participants
- 51
- Citations
- 3
- Size
- 123 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007629
ROAMM
BEH EEGROAMM is a large-scale multimodal dataset combining simultaneous EEG and eye-tracking recordings collected during naturalistic reading, with span-level mind-wandering annotations from 44 participants. It provides a benchmark for mind-wandering detection and EEG-to-text decoding, supporting research on attention-related degradation in language decoding from brain activity during naturalistic reading.
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 2
- Size
- 46.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026