on000247
MEG-BIDS OMEGA RestingState_sample
ANAT MEG
…an extension to the Brain Imaging Data Structure for magnetoencephalography. Scientific Data…
- Participants
- 6
- Size
- 10.5 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "brain imaging" · page 8 of 10 · ranked by relevance
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- 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
- vv1.0.0
- Updated
- Jul 10, 2026
- on005688
visStim
EEGThis dataset comprises electrocorticography (ECoG) recordings from 20 C57BL/6 mice exposed to combinations of diagnostic ultrasound (tDUS) and visual stimuli to investigate how transcranially delivered ultrasound modulates visual cortex responses. Recordings from visual and somatosensory cortices were collected at 20 kS/s during three experimental conditions: light-only, ultrasound-only, and combined ultrasound with light stimulation. The study demonstrates that tDUS enhances exogenously induced brain activity when combined with visual stimuli, with implications for understanding ultrasound-mediated neuromodulation.
- Participants
- 20
- Size
- 8.28 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- 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
- vv1.0.0
- Updated
- Jul 22, 2026
- on006374
Expectation effects on repetition suppression in nociception
BEH EEG…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
- Participants
- 36
- Channels
- 32 (10-10)
- Size
- 42.7 GB
- Version
- vv1.0.0
- 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)
- Size
- 198 GB
- Version
- vv1.1.0
- Updated
- Jul 10, 2026
- on005406
EEG frequency tagging reveals the integration of dissimilar observed actions
EEG…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
- Participants
- 29
- Channels
- 63 (10-05)
- Size
- 13.3 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004078
A synchronized multimodal neuroimaging dataset to study brain language processing
ANAT DWI FUNC MEGA synchronized multimodal neuroimaging dataset containing concurrent fMRI and MEG recordings from 12 Mandarin Chinese speakers during naturalistic story listening, supplemented with high-resolution structural imaging, diffusion MRI, and resting-state fMRI. The dataset includes rich linguistic annotations of stimuli encompassing word frequencies, syntactic structures, temporal alignments, and embeddings from multiple pre-trained language models, enabling comprehensive investigation of neural mechanisms underlying language processing.
- Participants
- 12
- Size
- 1.36 TB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026
- on007058
Silent Visual Reading EEG
EEG…participants’ data follow the **BIDS (Brain Imaging Data Structure)** specification. ### Event Annotations…
- Participants
- 10
- Channels
- 63 (10-10)
- Size
- 35.3 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 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
- vv1.0.0
- Updated
- Jul 10, 2026