Automated Author ProfileU.S. Environmental Protection Agency, Office Of Research
U.S. Environmental Protection Agency, Office Of Research
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The Environmental Monitoring and Assessment Program - Estuaries (EMAP-E) dataset, the National Land Cover Dataset (NLCD), the National Coastal Pollution Discharge Inventory (NCPDI), the USGS River Gauge data, the NOAA Tide Gauge data, and the National Elevation Dataset (NED) are three datasets I compiled for use in modeling metal concentrations in estuarine sediment. Although these datasets cover the same general geographic extent and are publicly available via the web, in their native formats they are not readily synthesized or modeled. Considerable processing and compilation steps are required to form the EMAP Virginian and Carolinian Province Station Data and the Multi-scale watersheds used to subset the NLCD. Although these datasets do not represent new data per se, the manipulation and compilation of the data into a form ready for landscape analyses is novel and provides added benefit to the use of these data.
Authors
- U.S. Environmental Protection Agency, Office Of Research ;
- Hollister, Jeffrey