on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005241-blue…
- Participants
- 24
- Size
- 140 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
42 results for "linguistic prediction" · page 1 of 5 · ranked by relevance
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- on005574
The "Podcast" ECoG dataset
ANAT iEEG…aligned word-level transcript, and linguistic features ranging from low-level acoustic…
- Participants
- 9
- Citations
- 4
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004229
amnoise
MEG…Auditory deficits in infants at risk for dyslexia during a linguistic sensitive…
- Participants
- 2
- Citations
- 22
- Size
- 1.78 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004078
A synchronized multimodal neuroimaging dataset to study brain language processing
ANAT DWI FUNC MEG…rich linguistic annotations for the stimuli, including word frequencies, part-of-speech…
- Participants
- 12
- Citations
- 6
- Size
- 1.36 TB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on004952
ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding
EEG…A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding…
- Participants
- 10
- Channels
- 128 (egi-geodesic)
- Citations
- 23
- Size
- 697 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000180
Brennan2019: EEG during Naturalistic Listening to Alice in Wonderland
EEG…Hierarchical structure guides rapid > linguistic predictions during naturalistic listening. *PLoS ONE*, 14…
- Participants
- 45
- Channels
- 60 (other)
- Citations
- 127
- Size
- 3.81 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004603
Visual Attribute-Specific Contextual Trajectory Paradigm
BEH EEG…https://github.com/benjaminglowe/attribute-specific-prediction-error-analysis-code Please email…
- Participants
- 37
- Channels
- 64 (10-10)
- Citations
- 3
- Size
- 39.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004276
Auditory single word recognition in MEG
BEH MEGThis dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.
- Participants
- 19
- Citations
- 1
- Size
- 11.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
MEG[ presented as news headlines or short sentences, with each participant completing 8 blocks of 400 trials. The dataset includes both raw and preprocessed EEG data organized according to BIDS standards. Sensor-level EEG analyses have been performed to examine neural responses to target and non-target semantic items.
- Participants
- 30
- Channels
- 30 (10-10)
- Citations
- 1
- Size
- 17.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026