Historical spatio-temporal data on North American radical environmental direct-action events

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Zack W. Almquist, Benjamin E. Bagozzi, Daria Blinova
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引用次数: 0

Abstract

Social and political event data are widely used in scientific research. However, event data concerning the direct actions of radical environmental groups is comparatively scarce, due in large part to inconsistent news coverage and the clandestine nature of the groups involved. Leveraging original reports maintained by radical environmental groups and their allies, this article codes historical spatio-temporal event data on radical environmental direct-action events in the United States and Canada during a period of heightened prominence in radical environmentalism: 1995-2007. The article's event level data include information on event type, date and geolocation, and the target of each event, as well as the original textual reports of each coded event. This data will facilitate a wide variety of qualitative and quantitative analyses of radical environmental activism, alongside validations of recently developed large language model (LLM) tools for event data extraction. We also offer a separate spatio-temporally aggregated version of these same data. This second dataset is aggregated to the 0.5 × 0.5 decimal-degree spatial grid-year level and adds additional environmental-, environmental group-, and social-correlates. Accordingly, this second dataset will readily enable spatio-temporal statistical analyses of radical environmental direct-action events, their causes, and their determinants—phenomena that have been previously under-explored in large N studies.
北美激进环境直接行动事件的历史时空数据
社会和政治事件数据在科学研究中被广泛使用。但是,关于激进环境团体直接行动的事件数据相对较少,这在很大程度上是由于新闻报道不一致以及所涉团体的秘密性质。利用激进环保组织及其盟友维护的原始报告,本文编码了激进环保主义高度突出时期(1995-2007)美国和加拿大激进环境直接行动事件的历史时空事件数据。本文的事件级别数据包括有关事件类型、日期和地理位置的信息,以及每个事件的目标,以及每个编码事件的原始文本报告。这些数据将促进激进环境行动主义的各种定性和定量分析,以及最近开发的用于事件数据提取的大语言模型(LLM)工具的验证。我们还提供了这些相同数据的单独时空聚合版本。第二个数据集被聚合到0.5 × 0.5小数点空间网格年水平,并增加了额外的环境、环境群体和社会相关因素。因此,这第二个数据集可以很容易地对激进的环境直接作用事件、其原因和决定因素进行时空统计分析,这些现象在以前的大型N研究中尚未得到充分的探索。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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