MorseEEG-ATP
…a multitask EEG dataset for exploring auditory temporal processing with Morse code…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 14.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
…a multitask EEG dataset for exploring auditory temporal processing with Morse code…
EEG dataset from 19 participants performing a visual P300 speller-like paradigm to assess how visual stimulus properties affect evoked responses and classification accuracy. Each participant completed three sessions with conditions varying the number of stimuli (4 to 9) and the flash type (standard flash versus a superimposed yellow smiling cartoon face). Recordings comprise 382 files from eight electrodes sampled at 256 Hz, with markers encoding trial phases and activated symbols.
…The study had 18 participants listen to auditory rhythms and watch visual…
…Run pre-processing of EEG (analyse_EEG_preprocessing.m), and behavioural data…
…Freesurfer outputs, MNE-related files, predictor objects, and processing scripts ## Citation Please…
Stereo-electroencephalography (SEEG) recordings from seven patients with drug-resistant epilepsy performing a visual working memory task. Depth electrodes were placed solely for clinical evaluation, and recordings were sampled at 2048 Hz, totaling about 6.2 hours across eight EDF recordings. This BIDS iEEG copy is de-identified and includes participant information such as seizure-onset zone and the contacts in the frontal eye field and hippocampus. It contains no events, behavioral files or electrode coordinates.
This dataset contains raw EEG recordings, in BrainVision format and organized according to BIDS, from participants silently reading word-by-word naturalistic narratives. It accompanies a study of auditory representations of words evoked during silent visual reading. Derivatives include preprocessed word-level EEG epochs, story and run metadata, expected/unexpected epoch labels, and corresponding feature embeddings.
…Visual-presentation └─ Non-target ``` ## Paradigm-Specific Parameters - **Detected paradigm**: p300 ## Signal Processing…
FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants. In one session, EEG was recorded during a food categorisation task in which participants judged images as healthy, tasty, or something they were willing to eat. In a second session, participants completed a food go/no-go task, a paired choice task, and questionnaires on dietary style and motivation. The dataset also includes raw and cleaned EEG data and normative ratings of the food stimuli from online samples.
…Visual-presentation └─ Non-target ``` ## Paradigm-Specific Parameters - **Detected paradigm**: p300 ## Signal Processing…