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
- Aug 19, 2026
Discover datasets
41 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
- Aug 19, 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
- 24
- Size
- 697 GB
- Version
- v1.0.0
- Updated
- Aug 19, 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
- 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
- Aug 19, 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
- on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
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
- on005383
TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments
EEGTMNRED is an EEG dataset collected from 30 healthy, right-handed native Chinese speakers performing a natural reading task designed to investigate fuzzy semantic target identification. Participants read Chinese news headlines and short sentences containing target and non-target semantic items while EEG was recorded across 8 blocks of 400 trials each. The dataset supports research into semantic processing mechanisms during naturalistic reading in the Chinese language.
- Participants
- 30
- Channels
- 30 (10-10)
- Citations
- 1
- Size
- 17.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004511
Deception_data
BEH EEG…They were to undergo 144 rounds of making a prediction about the…
- Participants
- 45
- Channels
- 139 (other)
- Citations
- 4
- Size
- 202 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026