Automated Author ProfileCorinne K Renshaw
United States Geological Survey
Corinne K Renshaw
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 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The U.S. Geological Survey (USGS) cooperated with Miami-Dade County to map the approximate inland extent of saltwater intrusion in the Biscayne aquifer in eastern Miami-Dade County, Florida in 2022. This map is a continuation of a series of maps, the most recent of which was published in 2018, which have helped to track the position of the saltwater interface over time and have improved understanding of the rate of movement of the saltwater interface. To estimate the position of the saltwater interface, relevant data including chloride concentrations, specific conductance, and bulk conductivity from time-series electromagnetic induction logs collected by various organizations including the Florida Keys Aqueduct Authority (FKAA), Florida Power and Light Company (FPL), MacVicar Consulting Inc., and the USGS were acquired and compiled. These data were entered into a geographic information system for mapping. The approximate location of the saltwater interface is represented by the 1,000-mg/L isochlor at the base of the Biscayne aquifer. The term “approximate” is used here because certain areas of the map lack sufficient spatial distribution of monitoring wells to create a precise representation. This data release includes a shapefile of the 1,000-mg/L isochlor and tables of construction information for wells used to create the map and the maximum chloride concentration in those wells in 2022.
Authors
- Jade Z Zhang ;
- Corinne K Renshaw