Dataset on Sentiment Analysis of Global Climate Change Education Abstracts (2015–2024)

This dataset contains supporting data for a manuscript currently in preparation, exploring rhetorical tone, sentiment, and vulnerability framing in climate change education literature published between 2015 and 2024.
It includes metadata and sentiment analysis results for 777 peer-reviewed abstracts, covering sentiment polarity, subjectivity, hedging/certainty metrics, rhetorical style classification, vulnerability scores, and author-region metadata.

This dataset is openly available to support transparency, reuse, and further research in the field of climate change education and science communication.