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A Climate Sentiment Index constructed from approximately 3.19 million climate-related images collected from 19 countries between 2015 and 2024. The dataset, created by Xiangyang Zhai, provides globally comparable positive and negative sentiment indices at daily, weekly, monthly, and annual frequencies. It is designed to transcend linguistic boundaries for improved cross-cultural sentiment analysis.
License is CC-BY-4.0, requiring attribution. The repository includes source code (PY), documentation (MD, TXT), and visualization figures (PNG) alongside the primary CSV data.