Automated Author ProfileFreed, Leonard A.
Freed, Leonard A.
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: 3.0 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
File List R_code_for_piecewise_regression.r (MD5: 56713e387417b7364390e6095dad8fab) Description Piecewise regression is a statistical method for estimationg two slopes in a series of data, one slope before a breakpoint and one slope after the breakpoint. The breakpoint can be fixed or estimated. Fixed breakpoints are based on changes in the environment. However, estimated breakpoints are necessary in competition studies, because an increase in one competitor must occur before the decline in the other competitor(s). Estimated breakpoints can determine, without bias, if the declines occurred after the increase.
Authors
- Freed, Leonard A. ;
- Cann, Rebecca L.
File List R_code_for_piecewise_regression.r (MD5: 56713e387417b7364390e6095dad8fab) Description Piecewise regression is a statistical method for estimationg two slopes in a series of data, one slope before a breakpoint and one slope after the breakpoint. The breakpoint can be fixed or estimated. Fixed breakpoints are based on changes in the environment. However, estimated breakpoints are necessary in competition studies, because an increase in one competitor must occur before the decline in the other competitor(s). Estimated breakpoints can determine, without bias, if the declines occurred after the increase.
Authors
- Freed, Leonard A. ;
- Cann, Rebecca L.
Evolutionary change has been documented over geological time, but reversals in morphology, from an ancestral state to a derived state and back again, tend to be rare. Multiple reversals along the same lineage are even rarer. We use the chronology of the Hawaiian Islands and an avian example, the Hawaiian honeycreeper ‘amakihi (Hemignathus spp.) lineage, which originated on the oldest main island of Kaua‘i 1.7 million years ago, to examine the process of sequential reversals in bill length. We document three single and two multiple reversals of bill length on six main islands from oldest to youngest, consistent with the phylogeny of the lineage. Longer bills occur on islands with endemic species, including phylogenetically relevant outgroups, that may compete with or dominate the ‘amakihi. On islands without those species, the ‘amakihi had shorter bills of similar length. Both types of reversals in morphology in this lineage integrate microevolutionary processes with macroevolution in the adaptive radiation of Hawaiian honeycreepers.
Authors
- Freed, Leonard A. ;
- Medeiros, Matthew C. I. ;
- Cann, Rebecca L.