…Event times were recorded with a photodiode, which is accessible as a…
This dataset contains 64-channel EEG recorded from 31 healthy participants performing a two-class (left vs. right hand) motor imagery task. Each participant completed up to three sessions of 40 trials. The recordings are part of a multimodal collection that also includes eye-tracking and high-speed video, intended for analyzing ocular activity across BCI paradigms. Events are annotated with HED, and the data are organized in BIDS format via MOABB.
…to Access via MOABB Install MOABB and load this dataset directly: ```python…
A sample intracranial EEG (iEEG) dataset prepared for the WIRED ICM course on intracranial recordings in humans, epilepsy, and deep brain stimulation (Paris, March 2024). It contains recordings from patients with epilepsy during naturalistic listening tasks (movie trailers and TIMIT sentences). It also includes illustrative examples of seizure-related activity and vagus nerve stimulator artifact.
…GS)). **To access the initial publication of this dataset, please visit this…
…to Access via MOABB Install MOABB and load this dataset directly: ```python…
…to Access via MOABB Install MOABB and load this dataset directly: ```python…
Longitudinal EEG recordings from 13 infants collected at 4, 8, and 12 months of age, with test-retest reliability assessed through two sessions within one week at 4 months. The complete dataset comprises 48 recording sessions, including 11 infants with all four sessions and 2 infants with reliability sessions only. It was used to develop and validate the APPLESEED automated preprocessing pipeline for estimating scale-wise entropy from pediatric EEG, and is provided as an example dataset.
…to Access via MOABB Install MOABB and load this dataset directly: ```python…
Multimodal dataset of 31 participants watching five short educational videos while EEG, ECG, EOG, gaze, pupil size, blinks, saccades, and head motion were recorded. Each participant completed an attentive session, in which factual questions followed each video, and a distracted session, in which they silently counted backwards. Experiment 2 uses an incidental learning design, so participants did not know in advance that they would be tested. Questionnaire data, including stimulus-related questions and the ASRS adult ADHD checklist, are included.