Magnetoencephalography (MEG) - norahollenstein/cognitiveNLP-dataCollection GitHub Wiki

MEG datasets for NLP

MEG provides estimates of synaptic activity at a high temporal precision.

This list contains data sources in the following languages:


Chinese

SMN4Lang

Stimulus: 6 hours of naturalistic stories
Participants: 12
Data: https://openneuro.org/datasets/ds004078/versions/1.2.1
Reference: Wang et al. (2022)

This dataset also includes an fMRI part.

Dutch

Mother Of Unification Studies (MOUS) dataset

Stimulus: 360 well-formed and 360 scrambled sentences, visual and auditory stimulus
Subjects: 204
Features: Data available in Brain Imaging Data Structure (BIDS) format
Data: https://data.donders.ru.nl/collections/di/dccn/DSC_3011020.09_236?0
Reference: Schoffelen et al. (2019)

This dataset also contains fMRI recordings.

English

MEG-MASC dataset

Stimulus: two hours of naturalistic stories.
Subjects: 27 English native speakers.
Features: Data available in Brain Imaging Data Structure (BIDS) format
Data: https://osf.io/ag3kj/
Reference: Gwilliams et al. (2022)