Automated Author ProfileGkantiragas, Alexis
0000-0003-3359-3183
Gkantiragas, Alexis
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: 1.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The Worldclim dataset is the most widely used set of long term bioclimatic data, with long term averages for key bioclimatic variables used in climate modelling, species distribution modelling and countless other applications (Fick et al., 2017). However, unlike temperature and precipitation based values, wind, solar radiation and water vapor pressure are provided as monthly, rather than annual averages.This limits their use cases. Here, I used QGIS (ver 3.40.5-Bratislava) cell statistic function to calculate mean, maximum and minimum per cell values for wind speed, water vapor pressure and solar radiation. These are provided at 10min, 5min, 2.5min and 30 second resolution as in the Worldclim dataset. These are provided as geotiff files, but can be readily converted into ASCII if required (such as for Maxents GUI) (Gkantiragas, 2025). Each file has an accompanying log for the raster calculation and can be used to check that the file was correctly generated.There are three zip folders, one for wind, solar radiation and water vapor pressure. Each zip folder contains the data at all 4 resolutions. For questions or issues with the dataset please address them to: [email protected]
ReferencesFick, S.E. and Hijmans, R.J., 2017. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas. International journal of climatology, 37(12), pp.4302-4315.
Gkantiragas, A. (2025) AlexisGGk/maxent_scripts: Useful tools for working with Maxent, GitHub. Available at: https://github.com/AlexisGGk/maxent_scripts (Accessed: 17 October 2025).
Authors
- Gkantiragas, Alexis
The Worldclim dataset is the most widely used set of long term bioclimatic data, with long term averages for key bioclimatic variables used in climate modelling, species distribution modelling and countless other applications (Fick et al., 2017). However, unlike temperature and precipitation based values, wind, solar radiation and water vapor pressure are provided as monthly, rather than annual averages.This limits their use cases. Here, I used QGIS (ver 3.40.5-Bratislava) cell statistic function to calculate mean, maximum and minimum per cell values for wind speed, water vapor pressure and solar radiation. These are provided at 10min, 5min, 2.5min and 30 second resolution as in the Worldclim dataset. These are provided as geotiff files, but can be readily converted into ASCII if required (such as for Maxents GUI) (Gkantiragas, 2025). Each file has an accompanying log for the raster calculation and can be used to check that the file was correctly generated.There are three zip folders, one for wind, solar radiation and water vapor pressure. Each zip folder contains the data at all 4 resolutions. For questions or issues with the dataset please address them to: [email protected]
ReferencesFick, S.E. and Hijmans, R.J., 2017. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas. International journal of climatology, 37(12), pp.4302-4315.
Gkantiragas, A. (2025) AlexisGGk/maxent_scripts: Useful tools for working with Maxent, GitHub. Available at: https://github.com/AlexisGGk/maxent_scripts (Accessed: 17 October 2025).
Authors
- Gkantiragas, Alexis