Automated Organization ProfileFederal University of Technology–Paraná
Federal University of Technology–Paraná
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: 3.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Hydrometeorological and irrigation demand dataset used in the manuscript "Significant baseflow reduction in the Sao Francisco River Basin, Brazil. Is it time to call for attention on groundwater withdrawals?", submitted to Hydrological Processes. Streamflow records was downloaded from the Brazilian Water Agency (ANA, in portuguese) gauge stations. Precipitation dataset is derived from Xavier et al. (2016) (https://doi.org/10.1002/joc.4518). Evapotranspiration and Potential Evapotranspiration dataset is derived from Global Land Evaporation Amsterdam Model (GLEAM). Terrestrial Water Storage is derived from Gravity Recovery and Climate Experiment (GRACE) satellite - Jet Propulsion Laboratory (JPL) Release 06 (RL06) mascons solution.
Authors
- Lucas, Murilo C ;
- Kublik, Natalya ;
- Rodrigues, Dulce B B ;
- Meira Neto, Antonio A ;
- Almagro, André ;
- Melo, David C D ;
- Zipper, Samuel C ;
- Oliveira, Paulo Tarso S
Hydrometeorological and irrigation demand dataset used in the manuscript "Significant baseflow reduction in the Sao Francisco River Basin, Brazil. Is it time to call for attention on groundwater withdrawals?", submitted to Hydrological Processes. Streamflow records was downloaded from the Brazilian Water Agency (ANA, in portuguese) gauge stations. Precipitation dataset is derived from Xavier et al. (2016) (https://doi.org/10.1002/joc.4518). Evapotranspiration and Potential Evapotranspiration dataset is derived from Global Land Evaporation Amsterdam Model (GLEAM). Terrestrial Water Storage is derived from Gravity Recovery and Climate Experiment (GRACE) satellite - Jet Propulsion Laboratory (JPL) Release 06 (RL06) mascons solution.
Authors
- Lucas, Murilo C ;
- Kublik, Natalya ;
- Rodrigues, Dulce B B ;
- Meira Neto, Antonio A ;
- Almagro, André ;
- Melo, David C D ;
- Zipper, Samuel C ;
- Oliveira, Paulo Tarso S