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Natural Disasters

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  • Collection Overview
  • Methods
  • Data Sets (6)
    • Geocoded Disasters (GDIS) Dataset, v1 (1960 – 2018)
    • U.S. Population Grids (Summary File 1): Alabama, Louisiana, Mississippi and Texas, alpha (2000)
    • U.S. Population Grids (Summary File 1): Houston Metropolitan Statistical Area, alpha (2000)
    • U.S. Population Grids (Summary File 1): New Orleans Metropolitan Statistical Area, alpha (2000)
    • U.S. Population Grids (Summary File 3): Alabama, Louisiana, and Mississippi, alpha (2000)
    • U.S. Population Grids (Summary File 3): New Orleans Metropolitan Statistical Area, alpha (2000)
  • Map Gallery (3)

Geocoded Disasters (GDIS) Dataset, v1 (1960 – 2018)

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Purpose:
To provide the subnational location for different types of natural disasters recorded in EM-DAT between 1960-2018.
Abstract:
The Geocoded Disasters (GDIS) Dataset is a geocoded extension of a selection of natural disasters from the Centre for Research on the Epidemiology of Disasters' (CRED) Emergency Events Database (EM-DAT). The data set encompasses 39,953 locations for 9,924 disasters that occurred worldwide in the years 1960 to 2018. All floods, storms (typhoons, monsoons etc.), earthquakes, landslides, droughts, volcanic activity and extreme temperatures that were recorded in EM-DAT during these 58 years and could be geocoded are included in the data set. The highest spatial resolution in the data set corresponds to administrative level 3 (usually district/commune/village) in the Global Administrative Areas database (GADM, 2018). The vast majority of the locations are administrative level 1 (typically state/province/region).
Recommended Citation(s)*:

Rosvold, E., and H. Buhaug. 2021. Geocoded Disasters (GDIS) Dataset. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/zz3b-8y61. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

Rosvold, E.L., and H. Buhaug. 2021. GDIS, a Global Dataset of Geocoded Disaster Locations. Scientific Data 8:61. https://doi.org/10.1038/s41597-021-00846-6.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

Available Formats:
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