Automated Author ProfileSims, Claire
Department for Environment and Water, Government of South Australia0009-0003-2717-0739
Sims, Claire
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data publication contains zipped parquet files from the Lake Alexandrina scenario-based forecasting work using the FLARE (Forecasting Lake And Reservoir Ecosystems) system and two null models:targets.zip contains in-situ water temperature, salinity, and depth observationsdrivers.zip contains NOAA driver forecast filesforecasts.zip contains forecast parquet files generated from the scenario workflows for the reference (glm_flare_v3_crest), two alternate scenarios (glm_flare_v3_crest_down_0.1and glm_flare_v3_crest_up_0.1), and two null models (climatology and persistenceRW)scores.zip cotains forecast skill metrics of the evaluated forecasts.Instructions on using these data to replicate analyses from the manuscript can be found in the associated code publication.
Authors
- Olsson, Freya ;
- Thomas, R. Quinn ;
- Hipsey, Matthew ;
- Delany, Austin ;
- Sims, Claire ;
- Rumbelow, Adrienne ;
- Carey, Cayelan C.
This data publication contains zipped parquet files from the Lake Alexandrina scenario-based forecasting work using the FLARE (Forecasting Lake And Reservoir Ecosystems) system and two null models:targets.zip contains in-situ water temperature, salinity, and depth observationsdrivers.zip contains NOAA driver forecast filesforecasts.zip contains forecast parquet files generated from the scenario workflows for the reference (glm_flare_v3_crest), two alternate scenarios (glm_flare_v3_crest_down_0.1and glm_flare_v3_crest_up_0.1), and two null models (climatology and persistenceRW)scores.zip cotains forecast skill metrics of the evaluated forecasts.Instructions on using these data to replicate analyses from the manuscript can be found in the associated code publication.
Authors
- Olsson, Freya ;
- Thomas, R. Quinn ;
- Hipsey, Matthew ;
- Delany, Austin ;
- Sims, Claire ;
- Rumbelow, Adrienne ;
- Carey, Cayelan C.