Automated Author ProfileClinton C Epps
Clinton C Epps
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: 3.5 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Tabular and raster data containing spatial capture recapture, GPS telemetry, ground observations, and genetic records for male and female Rocky Mountain bighorn sheep (Ovis canadensis canadensis) in Dinosaur National Monument from 2006 to 2022. Includes associated tabular data files required for analysis of data with spatial capture models and resource selection models, and the raster data describing the output from these analyses. Associated tables and rasters include details for trap locations and genetic captures, the state space required for modeling with associated landscape covariates, and rasters describing population density and habitat use.
Authors
- Sarah L. Carroll ;
- Elizabeth P Flesch ;
- Salix R Scoresby ;
- Emily Spencer ;
- Rachel Crowhurst ;
- Clinton C Epps ;
- Nathan Galloway ;
- William M Janousek ;
- Tabitha A Graves
Dataset includes a) counts of mountain goats for multiple surveys across 37 sites inside Glacier National Park 2008-2019, along with biotic and abiotic conditions used in analysis of trend including snow, precipitation, temperature, landcover and habituation; b) predicted numbers of goats using each survey area; and c) microsatellite genotypes for goat pellet samples collected 2019-2023 across Glacier National Park and Waterton Lakes National Park for assessment of genetic structure and diversity.
Authors
- Tabitha A Graves ;
- William M Janousek ;
- Michael J. Yarnall ;
- Eliza D Stein ;
- Rachel Crowhurst ;
- Clinton C Epps ;
- Jami Belt
Tabular and raster data containing spatial capture recapture records for male and female bighorn sheep (Ovis canadensis nelsoni) in Grand Canyon National Park and surrounding landscape collected from 2010 to 2018 and associated tabular data files required for analysis of data with spatial capture connectivity models and raster data describing the ouput from SCR models. Associated tables and rasters include details for traps and genetic captures, and the state space for required modeling and associated spatial covariates in models, as well as rasters describing population density and habitat use.
Authors
- Tabitha A Graves ;
- Clinton C Epps ;
- William M Janousek ;
- Kristin Ironside ;
- Ryan J Monello ;
- Rachel Crowhurst ;
- Sarah M Gaulke ;
- Tyler G Creech ;
- P Holton