
# 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.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
