Abstract
The dataset covers a statistically representative quantitative questionnaire survey conducted with 430 children with the aim of assessing their knowledge, habits and attitudes towards wood and trees. The goal of the study was to examine the variables that affect environmental awareness and the use of wood in the future. The dataset contains 430 rows (participants) and 49 columns (variables). Data has a reuse potential in the fields of childhood pedagogy and environmental education research but also opens new ways for demonstrating the formula of statistical representativeness or machine-learning analyses such as clustering techniques, associative learning, or decision trees.
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