Automated Organization ProfileNational Research Council, Research Institute for Geo-Hydrological Protection, Strada delle Cacce 73, 10135 Turin, Italy
National Research Council, Research Institute for Geo-Hydrological Protection, Strada delle Cacce 73, 10135 Turin, Italy
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In the context of increasing urbanization and the rising frequency of extreme climate events and floods, there is a notable absence of a comprehensive Italian cadastre of underpasses, which would be useful for land management and mitigating flood-related damages, as confirmed by the research conducted. The data collection process, which lasted 24 months, primarily relied on sources such as newspapers, online news media, social media, and both published and unpublished studies from the Research Institute for Geo-Hydrological Protection (CNR-IRPI) of the Italian National Research Council. The data were then geolocated within a dedicated GIS project (qGIS version 3.36.2). In addition, various metadata were collected, including information on the presence of warning systems, the number of vehicles and individuals involved, and their actions when facing a flooded underpass. The dataset encompasses 1439 events from 1942 to 2023.
Authors
- Turconi, Laura ;
- Bono, Barbara ;
- Genta, Rebecca ;
- Luino, Fabio ;
- Voglino, Bianca
In the context of increasing urbanization and the rising frequency of extreme climate events and floods, there is a notable absence of a comprehensive Italian cadastre of underpasses, which would be useful for land management and mitigating flood-related damages, as confirmed by the research conducted. The data collection process, which lasted 24 months, primarily relied on sources such as newspapers, online news media, social media, and both published and unpublished studies from the Research Institute for Geo-Hydrological Protection (CNR-IRPI) of the Italian National Research Council. The data were then geolocated within a dedicated GIS project (qGIS version 3.36.2). In addition, various metadata were collected, including information on the presence of warning systems, the number of vehicles and individuals involved, and their actions when facing a flooded underpass. The dataset encompasses 1439 events from 1942 to 2023.
Authors
- Turconi, Laura ;
- Bono, Barbara ;
- Genta, Rebecca ;
- Luino, Fabio ;
- Voglino, Bianca