Neurodiversity in Educational Settings: Anonymized Trait-Level Dataset of Neurodivergent Cognitive and Behavioral Profiles (Ages 10–18)

This dataset contains anonymized trait-level data capturing neurodivergent cognitive, emotional, and behavioral characteristics of students within educational settings. The dataset was developed to support research, methodological demonstration, and educational inquiry into neurodiversity as a dimensional and non-pathological construct. Neurodiversity is understood here as natural variation in attention, sensory processing, emotional regulation, executive functioning, social communication, and learning styles rather than as a diagnostic classification.

The dataset comprises responses from 420 students aged 10 to 18 years, representing primary, secondary, and higher secondary educational levels. Participants are identified only through anonymous numerical identifiers. Demographic variables include age (in years), gender (coded numerically), and education level (coded to reflect the highest level of current schooling). No personally identifiable information, medical diagnoses, or institutional identifiers are included in the dataset.

Neurodivergent traits are operationalized across 12 theoretically grounded domains that are frequently discussed in contemporary neurodiversity and educational psychology literature. These domains include social communication, sensory processing, attention regulation, executive functioning, emotional regulation, cognitive flexibility, routine adherence, social anxiety, empathy expression, motor coordination, transition difficulty, and special interests. Each domain is scored using a 5-point Likert-type scale ranging from 1 (very low expression of the trait) to 5 (very high expression of the trait). Higher scores indicate stronger expression of the respective trait, without implying impairment or pathology.

In addition to individual domain scores, the dataset includes a composite variable (neurodiversity_total_score) calculated as the sum of all domain scores. This total score is intended for exploratory and comparative purposes only and should not be interpreted as a diagnostic threshold. The structure of the dataset allows researchers to examine trait distributions, inter-domain relationships, subgroup comparisons, and educational correlates of neurodivergent profiles.

The dataset is suitable for a wide range of applications, including exploratory statistical analysis, psychometric modeling, educational research, teaching demonstrations, and methodological validation studies. It may be used to illustrate how neurodivergent traits interact with educational environments, learning demands, and classroom structures. Researchers may also use the dataset to test dimensional models of neurodiversity, examine variability across age or educational level, or demonstrate inclusive data analysis practices.

All data are fully anonymized, contain no sensitive personal information, and are provided solely for scholarly and educational use.