Automated Organization ProfileInternational Water Centre
International Water Centre
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This collection contains a US EPA Stormwater Management Model (SWMM), calibrated and validated for ten catchments with varying degrees of urbanisation in south east Queensland (SEQ). The catchments were calibrated against hourly streamflow data from 2009 to 2012. The catchments modelled are:Tingalpa Creek at Sheldon;Upper Yaun Creek at Coomera;Scrubby Creek at Karawatha Forest;Blunder Creek (Daintree Crescent) at Forest Lake;Stable Swamp Creek at Sunnybank;Oxley Creek at Heathwood;Pimpama River at Kingsholme;Blunder Creek at Carolina Parade;Sheepstation Creek at Parkinson;Blunder Creek at Durack.
Authors
- Chowdhury, Rezaul ;
- Gardner, Ted ;
- Gardiner, Richard ;
- Hartcher, Mick ;
- Aryal, Santosh ;
- Ashbolt, Stephanie ;
- Petrone, Kevin ;
- Tonks, Michael ;
- Ferguson, Ben ;
- Maheepala, Shiroma ;
- McIntosh, Brian