Automated Author ProfileMcCall, Robert
Deltares0000-0002-9213-1539
McCall, Robert
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: 1.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The one-dimensional model inputs of idealized topography and bathymetry values for simulation of synthetic storm evolution with XBeach, as described in Mickey and others (2020) are provided here. The idealized topography and bathymetry were derived from LiDAR data from Dauphin Island, AL, USA over the timespan of 2005 to 2015. For further information regarding model input generation of topography and bathymetry, refer to Mickey and others (2020). Mickey, R.C., Dalyander, P.S., McCall, R., and Passeri, D.L., 2020, Sensitivity of storm response to antecedent topography in the XBeach model: Journal of Marine Science and Engineering, v. 8, article 829, 23 p., https://doi.org/10.3390/jmse8100829.
Authors
- Mickey, Rangley C ;
- Dalyander, P. Soupy ;
- McCall, Robert ;
- Passeri, Davina L