Automated Organization ProfileSchool of Technology and Innovations, University of Vaasa, Vaasa, Finland
School of Technology and Innovations, University of Vaasa, Vaasa, Finland
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: 2.2 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
AbstractThe data set provides reanalysis of annual maxima of snow depth, from 1962 to 2015, at NUTS-3 scale (Nomenclature des Unités Territoriales Statistiques, eur, 2015) by steps of 100 m elevation. It relates to the C3S Mountain Tourism Meteorological and Snow Indicators (MTMSI, Morin et al., 2021) data set, consisting of various meteorological and snow indicators at annual scale. Snow conditions are computed by the snow cover model Crocus, which takes meteorological forcings as inputs to simulate the state of the snowpack. The atmospheric reanalysis fields were extracted from the UERRA MESCAN-SURFEX (UERRA) reanalysis, which spans the time period from 1961 to 2015, at 5.5 km horizontal resolution (Soci et al., 2016), for selected grid points by NUTS-3 areas. In mountainous areas, the data is provided for several elevation steps of 100 m, while for non-mountainous areas the data is provided at the mean elevation of the NUTS-3 region. This data set was used as a reference for adjusting climate projections by Evin et al. (2025).Technical detailsFile "max-sd-NS-year_UERRA.nc"Under the variable 'max-sd-NS-year' of the netcdf file, the user can extract the annual snow depth maxima (in meter) at NUTS-3 scale, that have been calculated on the hydrological year from Y-1/08/01 to Y/07/31. If there was no snow during the hydrological year of one NUTS/elevation pair, snow depth maxima is set as NA. The extract has NUTS/elevation*year dimension.File "MTMSI_lat_lon_zs.nc"The metadata file contains values of latitude and longitude of the barycenter of the NUTS-3 associated with the annual maxima timeseries. The two files relate to each other as the i row from the annual maxima files is located at the i value of longitude, latitude and elevation from the metadata file.File "nuts_details.gpkg"The GeoPackage file contain information about the NUTS-3 for which timeseries are available. 'nuts_id' attribute gives the identifier of each NUTS-3, 'nuts_name' gives its name, 'relief' provides the NUTS-3 type (either mountain called 'montagne', or plain called 'plaine'), finally 'alt_ideal' gives the mean elevation of the NUTS-3 rounded to the hundred.
Authors
- Kamir, Elisa ;
- Morin, Samuel ;
- Evin, Guillaume ;
- Samacoïts, Raphaëlle ;
- Gehring, Penelope ;
- Wichura, Bodo ;
- Nadir Arslan, Ali
AbstractThe data set provides reanalysis of annual maxima of snow depth, from 1962 to 2015, at NUTS-3 scale (Nomenclature des Unités Territoriales Statistiques, eur, 2015) by steps of 100 m elevation. It relates to the C3S Mountain Tourism Meteorological and Snow Indicators (MTMSI, Morin et al., 2021) data set, consisting of various meteorological and snow indicators at annual scale. Snow conditions are computed by the snow cover model Crocus, which takes meteorological forcings as inputs to simulate the state of the snowpack. The atmospheric reanalysis fields were extracted from the UERRA MESCAN-SURFEX (UERRA) reanalysis, which spans the time period from 1961 to 2015, at 5.5 km horizontal resolution (Soci et al., 2016), for selected grid points by NUTS-3 areas. In mountainous areas, the data is provided for several elevation steps of 100 m, while for non-mountainous areas the data is provided at the mean elevation of the NUTS-3 region. This data set was used as a reference for adjusting climate projections by Evin et al. (2025).Technical detailsFile "max-sd-NS-year_UERRA.nc"Under the variable 'max-sd-NS-year' of the netcdf file, the user can extract the annual snow depth maxima (in meter) at NUTS-3 scale, that have been calculated on the hydrological year from Y-1/08/01 to Y/07/31. If there was no snow during the hydrological year of one NUTS/elevation pair, snow depth maxima is set as NA. The extract has NUTS/elevation*year dimension.File "MTMSI_lat_lon_zs.nc"The metadata file contains values of latitude and longitude of the barycenter of the NUTS-3 associated with the annual maxima timeseries. The two files relate to each other as the i row from the annual maxima files is located at the i value of longitude, latitude and elevation from the metadata file.File "nuts_details.gpkg"The GeoPackage file contain information about the NUTS-3 for which timeseries are available. 'nuts_id' attribute gives the identifier of each NUTS-3, 'nuts_name' gives its name, 'relief' provides the NUTS-3 type (either mountain called 'montagne', or plain called 'plaine'), finally 'alt_ideal' gives the mean elevation of the NUTS-3 rounded to the hundred.
Authors
- Kamir, Elisa ;
- Morin, Samuel ;
- Evin, Guillaume ;
- Samacoïts, Raphaëlle ;
- Gehring, Penelope ;
- Wichura, Bodo ;
- Nadir Arslan, Ali
AbstractThe data set provides reanalysis of annual maxima of snow depth, from 1962 to 2015, at NUTS-3 scale (Nomenclature des Unités Territoriales Statistiques, eur, 2015) by steps of 100 m elevation. It relates to the C3S Mountain Tourism Meteorological and Snow Indicators (MTMSI, Morin et al., 2021) data set, consisting of various meteorological and snow indicators at annual scale. Snow conditions are computed by the snow cover model Crocus, which takes meteorological forcings as inputs to simulate the state of the snowpack. The atmospheric reanalysis fields were extracted from the UERRA MESCAN-SURFEX (UERRA) reanalysis, which spans the time period from 1961 to 2015, at 5.5 km horizontal resolution (Soci et al., 2016), for selected grid points by NUTS-3 areas. In mountainous areas, the data is provided for several elevation steps of 100 m, while for non-mountainous areas the data is provided at the mean elevation of the NUTS-3 region. This data set was used as a reference for adjusting climate projections by Evin et al. (2025).Technical detailsFile "max-sd-NS-year_UERRA.nc"Under the variable 'max-sd-NS-year' of the netcdf file, the user can extract the annual snow depth maxima (in meter) at NUTS-3 scale, that have been calculated on the hydrological year from Y-1/08/02 to Y/08/01. If there was no snow during the hydrological year of one NUTS/elevation pair, snow depth maxima is set as NA. The extract has NUTS/elevation*year dimension.File "MTMSI_lat_lon_zs.nc"The metadata file contains values of latitude and longitude of the barycenter of the NUTS-3 associated with the annual maxima timeseries. The two files relate to each other as the i row from the annual maxima files is located at the i value of longitude, latitude and elevation from the metadata file.File "nuts_details.zip"The compressed shapefiles contain information about the NUTS-3 for which timeseries are available. 'nuts_id' attribute gives the identifier of each NUTS-3, 'nuts_name' gives its name, 'relief' provides the NUTS-3 type (either mountain called 'montagne', or plain called 'plaine'), finally 'alt_ideal' gives the mean elevation of the NUTS-3 rounded to the hundred.
Authors
- Kamir, Elisa ;
- Morin, Samuel ;
- Evin, Guillaume ;
- Samacoïts, Raphaëlle ;
- Gehring, Penelope ;
- Wichura, Bodo ;
- Nadir Arslan, Ali