on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003703-blue…
- Participants
- 34
- Citations
- 1
- Size
- 195 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "syntactic annotations" · page 1 of 10 · ranked by relevance
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- on008711
RSVP with flankers - sentences with semantic and syntactic violations
EEG[
- Size
- 6.22 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
- on005296
Assessing sensitivity to semantic and syntactic information in deaf readers: An ERP study
EEG[
- Citations
- 2
- Size
- 8.53 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006392
HED schema library for SCORE annotations example
iEEG…The annotations are machine readable and validated with the BIDS and HED…
- Participants
- 1
- Citations
- 2
- HED
- vscore_2.0.0
- Size
- 32.0 MB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004809
Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories
BEH iEEG…available, along with brain region annotations. * Recordings were made on multiple different…
- Participants
- 258
- Citations
- 1
- Size
- 477 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004078
A synchronized multimodal neuroimaging dataset to study brain language processing
ANAT DWI FUNC MEG…Syntactic annotations: The POS tag of each word, the constituent tree structure…
- Participants
- 12
- Citations
- 6
- Size
- 1.36 TB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on005574
The "Podcast" ECoG dataset
ANAT iEEGThis dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.
- Participants
- 9
- Citations
- 4
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000180
Brennan2019: EEG during Naturalistic Listening to Alice in Wonderland
EEG…Events and Linguistic Annotations --------------------------------- The scientific value of this dataset is the…
- Participants
- 45
- Channels
- 60 (other)
- Citations
- 127
- Size
- 3.81 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000229
Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
ANAT MEG…had been annotated for their syntactic structures (MASC). The corresponding text files…
- Participants
- 27
- Citations
- 46
- Size
- 99.3 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEGNeuroMorph is a high-temporal resolution MEG dataset designed for morpheme-based linguistic analysis, comprising recordings from 24 subjects totaling over 17 hours of data. Data were collected using a KIT/Yokogawa MEG system to investigate visual language and cognitive processing, with a focus on morphological structure in written language comprehension.
- Participants
- 24
- Size
- 140 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026