on006673
ball_squeeze_Carlton_2025
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006673-blue…
- Participants
- 17
- Size
- 20.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "functional brain networks" · page 8 of 10 · ranked by relevance
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- on004952
ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding
EEGChineseEEG is a high-density EEG and simultaneous eye-tracking dataset collected from 10 participants silently reading two Chinese novels over approximately 11 hours. The dataset includes raw and multiple stages of pre-processed EEG data, along with BERT-base-chinese text embeddings of the reading materials, designed to support research on semantic alignment between NLP model representations and neural activity. It provides a resource for studying naturalistic language processing and neural decoding using Chinese linguistic stimuli.
- Participants
- 10
- Channels
- 128 (egi-geodesic)
- Citations
- 24
- Size
- 697 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003768
Simultaneous EEG and fMRI signals during sleep from humans
ANAT EEG FUNCThis dataset comprises simultaneous EEG and fMRI recordings from 33 healthy human participants during sleep and wakefulness. The study captures coordinated electrophysiological and hemodynamic signals using a 32-channel MR-compatible EEG system synchronized with BOLD fMRI acquisition. The experimental protocol includes anatomical imaging, resting-state sessions before and after a visual-motor adaptation task, and multiple sleep sessions with corresponding sleep stage annotations. EEG signals provide direct measures of electrophysiological activity and sleep stage information, while fMRI captures hemodynamic responses, enabling investigation of the relationship between neural activity during sleep-wake transitions.
- Participants
- 33
- Citations
- 16
- Size
- 86.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRS[ and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
- Participants
- 117
- Size
- 91.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005963
FRESH Motor Dataset
NIRS[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005963-blue…
- Participants
- 10
- Size
- 234 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026