Data Underlying Opinion Dynamics 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]. The code I've used this data for is available on the TU Delft GitLab. 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、围绕气候变化与能源转型相关问题开展的民调结果的时序聚合均值。本数据集是我为2023年格拉斯哥ESSA会议制作的学术展板的配套数据仓库。本次分享数据集的初衷是初步掌握逆建模（inverse modelling）方法，并向学术社区分享我的研究心得。若有需要，可通过邮箱[e-mail]联系我获取该展板以获取更多背景信息与完整内容。我使用本数据集编写的代码已上传至代尔夫特理工大学（TU Delft）GitLab平台。本人衷心感谢Populytics为本研究项目提供数据支持。此处提供的是输入至模型的原始聚合数据：第一列为时间戳，第二列为模型所用的数值，即该时段内所有投票的聚合均值。