on007895
Auditory Streaming and Interoception
EEG
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
- Participants
- 22
- Channels
- 1 (other)
- Size
- 7.25 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
Discover datasets
100 results for "brain imaging" · page 8 of 10 · ranked by relevance
-
- nm000147
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4
BEH EEGThe Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.
- Citations
- 4
- Size
- 5.12 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005857
ltpDelayRepFRReadOnly
BEH EEG…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
- Participants
- 33
- Channels
- 128 (biosemi)
- Size
- 284 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004541
Multimodal EEG-fNIRS data from patients undergoing general anesthesia
EEG NIRS…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
- Participants
- 8
- Channels
- 58 (10-10)
- Size
- 2.90 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000158
Liu, Lv et al. 2023 — EEG datasets of stroke patients (motor imagery)
EEG Zarr verifiedThis dataset comprises electroencephalography (EEG) recordings from 50 acute stroke patients (1-30 days post-stroke) performing motor imagery tasks of left- and right-handed hand-grip movements. Recorded using a wireless 29-channel EEG system at 500 Hz, the dataset includes raw and preprocessed data, representing the first open resource addressing left- and right-handed motor imagery in the acute stroke population. The dataset supports brain-computer interface (BCI) algorithm development and clinical rehabilitation applications.
- Participants
- 50
- Channels
- 29 (10-10)
- Citations
- 78
- HED
- v8.4.0
- Size
- 1.15 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007949
Auditory Streaming and Interoception
EEG…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
- Participants
- 22
- Channels
- 1 (other)
- Size
- 7.25 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEGTHINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 82
- Size
- 198 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- on005127
AMRI 16-N-0031 sleep1
ANAT EEG FUNC[
- Size
- 42.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004973
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
NIRSThis fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants during 14 types of highly automated driving scenarios in a simulator environment. The study examines risk cognition in passengers across different age groups, sexes, and driving experience levels using an 8-channel fNIRS device. The dataset aims to identify differences in prefrontal cortex activation between low-risk and high-risk driving episodes to support safety-of-the-intended-functionality (SOTIF) improvements and brain-computer interface applications.
- Participants
- 20
- Size
- 2.31 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026