Joint agency EEG dataset
…sub-##_task-jointaction_eeg.eeg sub-##_task-jointaction_eeg.vhdr sub-##_task…
- Participants
- 32
- Citations
- 2
- Size
- 8.06 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
100 results for "quantitative EEG" · page 9 of 10 · ranked by relevance
…sub-##_task-jointaction_eeg.eeg sub-##_task-jointaction_eeg.vhdr sub-##_task…
…EEGLAB USERS ------------ A processed, EEGLAB-ready version of the two soundscape conditions…
This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.
…To obtain resting data, EEG channels were recorded for 5 minutes using…
Imported from OpenNeuro ds004853
…To obtain resting data, EEG channels were recorded for 5 minutes using…
…ses-pre/` or `ses-post/` - `eeg/` - EEG recordings (.edf) - Metadata files (.json…
…Pre-processed EEG data is available in the derivatives folders in EEGlab…
BigP3BCI Study Q is a P300-based brain-computer interface dataset comprising EEG recordings from 36 ALS subjects across 3 sessions each, using a 6x6 color intensification speller paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 electrode montage, annotated with target and non-target event labels using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is optimized for machine learning applications in brain-computer interface research.
…Resting EEG was recorded for 8 minutes in all participants with eyes…