on006914
Visual Naming EC
iEEG
…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech
- Participants
- 110
- Size
- 17.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "brain network dynamics" · page 9 of 10 · ranked by relevance
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- on006910
Auditory Naming EC
iEEG…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech
- Participants
- 121
- Size
- 44.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006233
Picture naming
iEEG[
EEGBigP3BCI Study G is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 checkerboard visual speller task. This derivative dataset is Study G of 20 studies in the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects total. The data were acquired at 256 Hz using 16-channel EEG with a g.USBamp amplifier and include target and non-target event classifications suitable for machine learning applications.
- Participants
- 20
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 327 MB
- Version
- v1.0.1
- Updated
- Jul 10, 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
- 2.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
MEG…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
- Participants
- 34
- Citations
- 1
- Size
- 195 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004252
Rotation-tolerant representations elucidate the time course of high-level object processing
EEG[
- HED
- v8.4.0
- Size
- 5.42 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004117
Sternberg Working Memory
EEG…to explore source-resolved EEG brain dynamics associated with selectively committing a…
- Participants
- 23
- Channels
- 69 (10-10)
- HED
- v8.0.0
- Size
- 5.80 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004505
Real World Table Tennis
ANAT EEGThis dataset comprises multimodal neurophysiological and kinematic recordings from 25 participants engaged in real-world table tennis gameplay. The collection includes high-density dual-layer electroencephalography, cervical electromyography, inertial measurement unit acceleration data, structural MRI, and synchronized video recordings. Participants completed 60 minutes of table tennis play against both a ball machine and human opponent, with 10 minutes of standing baseline recording. Processed data include independent component analysis decomposition and dipole modeling for EEG signals.
- Participants
- 25
- Channels
- 120 (other)
- Citations
- 24
- Size
- 523 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026