EEG dataset investigating proactive selective attention across different competition contexts. The dataset is mirrored on NEMAR from OpenNeuro (ds005089) and organized in BIDS format.
…6 participants who performed SSVEP tasks. We designed stimulations at 3 different…
…is published as > `task-blockNN` (`task-block01` … `task-block10`) because the per…
Eye-tracking data from 27 participants who watched five educational videos in two sessions: an attentive condition, in which participants were tested afterward with multiple-choice questions, and a distracted condition, in which they silently counted backwards. The dataset includes gaze, pupil size, blinks, saccades and fixations, plus questionnaires with domain and memory questions. It is Experiment 1 of the Brain, Body, and Behavior Dataset (BBBD) and supports research on attention and learning from video.
…The BIDS metadata files describe the recording structure, events, channels, and task…
Chisco-2.0 is an EEG dataset of imagined speech recorded from two participants (sub-01 and sub-02). The raw recordings are provided in EDF format and organized according to the BIDS standard. The dataset is intended to support research on decoding imagined speech from brain activity.
…cvep - **Task type**: target selection - **Number of classes**: 2 - **Class labels**: 0…
…motor_imagery - **Imagery tasks**: rest, right_hand, right_elbow_flexion - **Cue duration…
EEG recordings from 15 participants performing imagined speech of five commands ("Hello", "Help me", "Stop", "Thank you", "Yes"), released for the 2020 BCI Competition Track 3. The data are split into training, validation and test runs to support machine-learning decoding of imagined speech for brain-computer interfaces. The dataset was converted from the original MATLAB files to BIDS-compliant EDF with trial annotations.
…cvep Task type: target selection Number of classes: 2 Class labels: 0…