Data from Q-study on desirable urban futures and associated values of nature

This data publication belongs to the following research paper: [to be replaced after publication] The first part of the dataset comprises overviews of the methodological approach, while the second contains supplementary presentations of the factor analysis. The main results are otherwise presented in the journal article. Table of contents 1. Q-set design- Analysed planning documents for the development of the Q Concourse- Guiding questions for the expert interviews - Support in developing vision statements for the Q-set using large language models (ChatGPT4o, DeepL)- Full list of statements (in the original German) 2. Factor analysis- Unrotated Factor Matrix- Factor Score Correlations- Factor Arrays Overview- Distinguishing Statements for Factor 1- Distinguishing Statements for Factor 2- Distinguishing Statements for Factor 3- Factor Matrix with Defining Sorts Flagged- Crib sheet for Factor 1- Crib sheet for Factor 2- Crib sheet for Factor 3