Automated Author ProfileCarlos Sánchez Linares
Carlos Sánchez Linares
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 3.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data results from the live demo performed within the framework of the ChEESE project (www.cheese-coe.eu) and in coordination with the Spanish National Geographic Institute (IGN) which consisted in the simulations of 135 scenarios for tsunamis generated by earthquake in the Gulf of Cadiz with impact in the Western Iberian Peninsula and the Canary Islands. These data were obtained using Tsunami-HySEA (https://edanya.uma.es/hysea/index.php/models/tsunami-hysea) and the numerical simulations were carried out using High Performance Computing resources from CINECA (https://www.hpc.cineca.it).Data description:- list_of_events.txt contains the list of the 135 selected scenarios to be simulated based on the variability of some of the Okada parameters that define the earthquake.- bathymetry folder contains .GRD files used as input bathymetry (4 different domains and 3 different resolutions)- simulations_* folders contain the NETCDF output files resulting from the 135 simulations for each computational domain. These *_ts.nc files store the maximum height for each point of interest and for each simulated event. And also, wave height at each forecast point (FCPs) is calculated, saving data every 15 seconds and during the simulation time (4 hours). - TS folder contains the longitud and latitude coordinates of each FCP and for each resolution domain labeled by target areas defined by IGN.
Authors
- Carlos Sánchez Linares
Data results from the live demo performed within the framework of the ChEESE project (www.cheese-coe.eu) and in coordination with the Spanish National Geographic Institute (IGN) which consisted in the simulations of 135 scenarios for tsunamis generated by earthquake in the Gulf of Cadiz with impact in the Western Iberian Peninsula and the Canary Islands. These data were obtained using Tsunami-HySEA (https://edanya.uma.es/hysea/index.php/models/tsunami-hysea) and the numerical simulations were carried out using High Performance Computing resources from CINECA (https://www.hpc.cineca.it).Data description:- list_of_events.txt contains the list of the 135 selected scenarios to be simulated based on the variability of some of the Okada parameters that define the earthquake.- bathymetry folder contains .GRD files used as input bathymetry (4 different domains and 3 different resolutions)- simulations_* folders contain the NETCDF output files resulting from the 135 simulations for each computational domain. These *_ts.nc files store the maximum height for each point of interest and for each simulated event. And also, wave height at each forecast point (FCPs) is calculated, saving data every 15 seconds and during the simulation time (4 hours). - TS folder contains the longitud and latitude coordinates of each FCP and for each resolution domain labeled by target areas defined by IGN.
Authors
- Carlos Sánchez Linares