…https://github.com/ncclabsustech/Chinese_reading_task_eeg_processing. ## Experiment Procedures Participants…
A mobile EEG dataset of auditory attention from 20 participants performing a two-competing-speaker paradigm. Participants either sat on a chair or walked an indoor route while attending to one of two speakers. Salient environmental events presented from in front of the participant were used to disrupt attention, allowing neural tracking of speech to be studied in realistic, mobile conditions.
…oddball task, control condition, run begin 105 - passive auditory oddball task, control…
EEG dataset investigating anticipatory neural differences between attention and expectation. The recordings were collected by a research group led by Maria Ruz and are organized in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds004502).
…oddball task, control condition, run begin 105 - passive auditory oddball task, control…
The Automatic Evoked Response Detection (ER-Detect) dataset contains intracranial EEG recordings collected during single-pulse electrical stimulation at the Mayo Clinic (Rochester, MN, USA) and the University Medical Center Utrecht (The Netherlands). It supports the development and evaluation of automated detection of stimulation-evoked cortico-cortical responses in epilepsy patients. The data are organized in BIDS format.
…SesNo}_task-{Task}_eeg.edf │ │ ├── sub-{SubNo}_ses-{SesNo}_task-{Task}_eeg…
A 12-class steady-state visual evoked potential (SSVEP) EEG dataset using joint frequency-phase modulation, recorded from healthy participants in a simulated online brain-computer interface experiment. Eight occipital and parieto-occipital channels were recorded at 256 Hz while subjects gazed at flickering targets on a 4x3 virtual keypad (9.25-14.75 Hz). The data were originally used to compare canonical correlation analysis (CCA)-based SSVEP detection methods.
…Subjects performed different motor/imagery tasks while 64-channel EEG were recorded…
PREDICT is an EEG dataset mirrored on NEMAR from OpenNeuro (ds005486). It was collected by a group studying pain and sensorimotor neuroscience, and it is shared in BIDS format under a CC0 license.