Data Underlying OD poster at ESSA in Glasgow in 2023

The data are aggregated opinion averages over time of polls on a 5-point scale concerning questions about climate change and the energy transition. This is the data repository for the poster I made for the ESSA conference in Glasgow 2023. My aim with this was to get a first grip on inverse modelling and share what I have learned with the community. I'm happy to share the poster for more context and content upon request via [e-mail]. I gratefully acknowledge the support of Populytics in this research project who provided the data. Here, I provide the aggregated data as it went into the model. Column 1 is the time stamp, column 2 is the value I used, the latter being the aggregated mean value of the votes during that time stamp.

本数据集为基于5分量表的气候变化与能源转型相关民调的跨时间聚合意见平均值。本数据集是我为2023年格拉斯哥ESSA会议制作的海报配套数据仓库。本次工作的核心目标是初步掌握逆建模技术，并向学界分享所学研究成果。如需获取更多背景信息与完整内容，可通过邮箱[e-mail]联系我索取该海报。衷心感谢Populytics为本研究项目提供数据支持。在此，我提供了用于模型输入的聚合后数据：第一列为时间戳，第二列为对应时段内投票的聚合均值，即本研究采用的数值。