Behavioural data for: Adult-to-infant unidirectional neural coupling mediates selective social learning in infants from the UK and Singapore

Summary: Contains anonymous behavioural data of infants' attention, CDI, and learning performance for the study. Demographical information are skipped to protect the participants' privacy. Related code repository: https://github.com/Baby-Linc-Singapore/BABBLE_CODE/ Detailed file descriptions: 1. behavioural table_subject_level_shared.tab - Subject-level behavioral data containing aggregated performance metrics and CDI (Communicative Development Inventory) scores for each participant across all experimental blocks. This dataset provides participant-level summaries of attention, learning performance, and language development measures. 2. behavioural table_block_level_shared.tab - Block-level behavioral data capturing detailed performance metrics for each experimental block, as each subject completed three repetitions of the same experimental paradigm. This granular dataset allows for analysis of learning trajectories and attention patterns across repeated exposures to the experimental stimuli. 3. gazesg.mat - MATLAB data file containing gaze tracking data collected from the Singapore site. The dataset includes onset duration, endpoint, startpoint, and number measurements used to calculate three distinct attention metrics. Data is structured across four dimensions: participant ID, gaze condition (full, partial, no), block number (1-3), and phrase number (1-3). Both PNo and participant_list serve as participant identifiers. 4. gazeuk.mat - MATLAB data file containing gaze tracking data collected from the UK site, with identical structure to the Singapore dataset. Contains the same attention-related measurements (onset duration, endpoint, startpoint, number) organized by participant, gaze condition (full, partial, no), block number (1-3), and phrase number (1-3) for cross-site comparison and validation. 5. Source data for all major results figs tables.tab - contains data table necessary for generating each figure and table in the paper, except for 1000-iteration surrogate data.