International Journal of Disaster Risk Reduction

ISSN: 2212-4209

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Datasets associated with articles published in International Journal of Disaster Risk Reduction

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  • Primary data collected through 230 sampled survey.
    Data Types:
    • Software/Code
    • Dataset
  • 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.
    Data Types:
    • Dataset
    • File Set
  • This includes data and codes of STATA.
    Data Types:
    • Dataset
    • File Set
  • 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.
    Data Types:
    • Dataset
    • Text
  • 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.
    Data Types:
    • Dataset
    • Document
  • 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
    Data Types:
    • Dataset
    • Document
  • Threes studies examining the influence of emotion and cognition on natural hazard likelihood and preparedness judgments.
    Data Types:
    • Tabular Data
    • Dataset
  • 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.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • The spreadsheets include raw data used in conducting two case studies.
    Data Types:
    • Tabular Data
    • Dataset
  • The MATLAB codes are designed to simulate the proposed framework for quantitatively assessing the effect of catastrophe insurance on community recovery.
    Data Types:
    • Software/Code
    • Dataset
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