on004660
TNO
EEG
[
- HED
- v8.1.0
- Size
- 7.25 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "linguistic annotations" · page 5 of 10 · ranked by relevance
-
- on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRSThis dataset comprises high-density functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study compares high-density multi-distance fNIRS configurations with sparse fNIRS arrangements to evaluate their relative sensitivity in detecting brain activity during cognitive control tasks. Data were collected from multiple participants with concurrent behavioral performance metrics.
- Participants
- 17
- Size
- 460 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004842
TX15
EEG[
- Citations
- 2
- HED
- v8.1.0
- Size
- 5.21 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000251
He et al. 2025 — VocalMind: A Stereotactic EEG Dataset for Vocalized, Mimed, and Imagined Speech in Tonal Language
iEEGVocalMind is a stereotactic EEG (sEEG) dataset comprising intracranial recordings from one participant performing vocalized, mimed, and imagined speech tasks in Mandarin Chinese, a tonal language. The dataset supports research on speech decoding, brain-computer interfaces, and neural mechanisms of overt and covert speech production. Raw recordings sampled at 1000 Hz were converted to BIDS iEEG format with event markers indicating stimulus onsets for each speech modality.
- Participants
- 1
- Citations
- 15
- Size
- 1.89 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006142
Essex EEG Movie Memory dataset
EEG…via a mouse click) time annotations of the instants that prompted this…
- Participants
- 27
- Channels
- 64 (10-10)
- Citations
- 2
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006465
3M-CPSEED：An EEG-based Dataset for Chinese Pinyin Production in Overt, Silent-intended, and Imagined Speech
EEG3M-CPSEED is an EEG dataset capturing brain activity from 20 healthy native Chinese speakers performing overt, silent-intended, and imagined speech production of Chinese Pinyin syllables. The dataset targets speech neurophysiology research, particularly the neural correlates of pinyin articulation across speech modes, and supports transfer learning studies for other alphabetic languages.
- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 3
- Size
- 15.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000326
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study C)
EEG…Target, NonTarget HED Event Annotations --------------------- Schema: HED 8.4.0 | Browse: https…
- Participants
- 19
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 4.11 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007753
BCCWJ-EEG
EEGThis dataset contains 64-channel EEG recordings from 41 Japanese native speakers who read Japanese newspaper articles from the Balanced Corpus of Contemporary Written Japanese (BCCWJ), presented word by word via rapid serial visual presentation. It is part of the BCCWJ-Brain collection, which also includes fMRI and MEG datasets acquired from separate participant groups using the same stimuli, enabling cross-modal comparisons of language processing with complementary spatial and temporal resolution.
- Participants
- 41
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 89.1 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000301
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study D)
EEG…Target, NonTarget HED Event Annotations --------------------- Schema: HED 8.4.0 | Browse: https…
- Participants
- 17
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 2.41 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on006459
High-DensityvSparsefNIRS_WordColorStroop_Sparse_Anderson_2025
NIRSThis dataset comprises high-density and sparse functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study investigates whether high-density multi-distance fNIRS configurations enhance detection of brain activity compared to conventional sparse probe arrangements. Raw neuroimaging data from multiple participants are provided in BIDS format to support reproducible analysis of cognitive control mechanisms.
- Participants
- 17
- Size
- 169 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026