EMDAT disaster data used for article 'Floods have become less deadly: an analysis of global flood fatalities 1975-2022'
doi:10.4121/eba1143f-adbe-4038-bac9-dae804a8b65a.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/eba1143f-adbe-4038-bac9-dae804a8b65a
doi: 10.4121/eba1143f-adbe-4038-bac9-dae804a8b65a
Datacite citation style:
Curran, Alex; Bouwer, Laurens; Jonkman, Bas (2023): EMDAT disaster data used for article 'Floods have become less deadly: an analysis of global flood fatalities 1975-2022'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/eba1143f-adbe-4038-bac9-dae804a8b65a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
EMDAT disaster data used for article 'Floods have become less deadly: an analysis of global flood fatalities 1975-2022'
Additional data appended to the data also attached, including quality control , GDP and income data.
Scripts to generate the data as presented in the (proposed) paper are also included.
history
- 2023-11-03 first online, published, posted
publisher
4TU.ResearchData
format
*.xlsx, *.py
references
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic EngineeringClimate Service Center Germany (GERICS)
HKV Consultants
DATA
files (7)
- 9,029 bytesMD5:
0b20e6f6952ad06283313d1ec5e78391
1000DeathsAddition.xlsx - 72,793 bytesMD5:
fed809d05d1fec3b74a104c706540f0c
Data-storm-surge_AC.xlsx - 5,508,942 bytesMD5:
c8b6c7ae67b7949651aaa753d1b63d9b
emdat_public_2022_11_06_full.xlsx - 40,656 bytesMD5:
b7f44935cddc8af73f774a64045cf67e
FatalityAnalysis_New2.py - 53,412 bytesMD5:
f563d5e5ea510cc709a19806165599f5
FatalityAnalysisFns.py - 204,942 bytesMD5:
c1990a6c4cd21a9da98b25d436aa39ae
GDP_1960_2022.xlsx - 148,631 bytesMD5:
7cd290d491a54cf5db7145c77e028376
Income_1961_2020.xlsx -
download all files (zip)
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