The Brain, Body, and Behavior Dataset (BBBD): Multimodal Recordings during Educational Videos

The Brain, Body, and Behavior Dataset (BBBD) provides multimodal recordings from 178 participants across five experiments in which participants viewed short educational videos. The dataset comprises approximately 110 hours of synchronized physiological, behavioral, and neural data, including electroencephalogram (EEG), electrooculogram (EOG), electrocardiogram (ECG), respiration, pupil size, gaze position, saccades, blinks, fixations, and head movement. Participants viewed 3–6 videos (mean total duration: 28 ± 5 min) under conditions designed to manipulate attentional state (attentive vs. distracted), learning context (incidental vs. intentional), and motivation (monetary incentive). The dataset also includes behavioral measures such as multiple-choice memory assessments, demographic information, ADHD self-report (ASRS), and working memory performance (digit span). All data are time-aligned to the video stimuli and organized according to the Brain Imaging Data Structure (BIDS), facilitating reproducible analysis across modalities. The dataset enables investigation of brain–body interactions during naturalistic video viewing, including attention, engagement, and learning processes. Data contents Raw and preprocessed data for each modality (EEG, ECG, EOG, respiration, eye tracking) Derived signals (heart rate, blink rate, saccade rate, fixation events) Event-aligned data synchronized to stimulus onset and offset Behavioral data and questionnaires (quizzes, ASRS, digit span, engagement ratings) Metadata files in BIDS format (JSON, TSV) Per-participant and per-session organization Access and structure The dataset is organized following the BIDS standard, with separate directories for raw and derived data. Each file includes accompanying metadata to facilitate interpretation and reuse. Website https://doi.org/10.15387/fcp_indi.retro.bbbd