International Journal of Disaster Risk Reduction

Primary data collected through 230 sampled survey.

This dataset includes 27,116 landslide risk polygons distributed in 443 Brazilian municipalities. In each of these risk areas, the vulnerability index was calculated according to the methodology of the article.

This includes data and codes of STATA.

This is a data from Web-of-Science Core Collection by Clarivate Analytics. This can be used as inputs for VOSView (2019) for bibliometric analysis.

The submitted manuscript is a summarized version of the masters thesis that is attached. Most of the sections include original text, while the results are the same as the ones included in the master's thesis. Some of the visualizations in the submitted manuscript are completely original. The thesis contains numerous processed data sources.

This research data supports the GIC Profile results for the manuscript, Developing a Geographic Information Capacity (GIC) Profile for Disaster Management under United Nations Framework Commitments.

This dataset was provided by Reconstruction Agency on November 16, 2018. The following URL covers more detailed dataset on disaster public housing for the municipalities affected by the 2011 Great East Japan Earthquake, which was used in the article. http://www.reconstruction.go.jp/topics/main-cat1/sub-cat1-12/20181114094606.html

Threes studies examining the influence of emotion and cognition on natural hazard likelihood and preparedness judgments.

This dataset is a result of a household survey conducted in the Fall 2017 in Seaside, Oregon. It contains data on public risk perceptions and behavioral intentions in the threat of Cascadia Subduction Zone Earthquake and Tsunami.

The spreadsheets include raw data used in conducting two case studies.