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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Urban Flood Events in China (2003-2022)

Authors: ZHU, Honglin;

Urban Flood Events in China (2003-2022)

Abstract

# Dataset: Urban Flood Events in China (2003-2022) ## OverviewThis dataset contains records of urban flood events extracted from Government Work Reports for 285 prefecture-level cities in China, along with the administrative boundary data for these cities. ## Files Description 1. **Urban_Flood_Counts_2003_2022.csv** - Description: A structured table recording the frequency of flood events for each city per year. - Format: Comma-Separated Values (CSV), UTF-8 encoding. - Rows: 5,700 (285 cities * 20 years). - Columns: - `city`: Name of the prefecture-level city. - `year`: The year of the report (integer, 2003-2022). - `count`: The number of identified flood events in that year's Government Work Report. A value of '0' indicates no event was mentioned; values >= 1 indicate the occurrence of flood events. 2. **City_Boundaries_GPKG.zip** - Description: A compressed folder containing spatial boundary data for the 285 cities included in the study. - Format: GeoPackage (.gpkg). - Content: 285 individual .gpkg files. - Coordinate Reference System (CRS): WGS84 (EPSG:4326). - Note: The filenames correspond to the `city` column in the CSV file.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average