Automated Author ProfileKusack, Kyle
Kusack, Kyle
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: 1.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data used in experiments on constriction-pool-widening channel Morphology in Bedrock Canyons, including the morphology and flow in Black Canyon and Kelly Creek Canyon, the water and bed surface data, the morphology with and without gravel data, the cross-sectional morphology data, and erosion rate in our experiment. Bedrock canyons often exhibit a series of constriction-pool-widening morphology (CPW) that consists of a lateral constriction, a deeply scour pool formed downstream of the constriction, a channel widening at or near the pool exit. To explore how the CPWs are formed in bedrock canyons, we conducted an experiment in a flume channel with a forced lateral constriction at the canyon entrance. This dataset includes the CPWs observed in two natural bedrock canyons, Black Canyon and Kelly Creek Canyon, in British Columbia, and the CPWs formed in the flume experiments. The morphological data, water surface and bed surface data, and the erosion rate data (Excel files) can be found in the folder of Data for Figures. We presented the evolution of the three dimensional CPWs over time in the folder of Agisoft that can be viewed in the Agisoft software, and the evolution of the bed morphology with and without gravel cover over time in the folder of CloudCompare that can be viewed in the CloudCompare software. Using this dataset, our experiments show that a primary CPW can be formed by an initial lateral constriction, and more CPWs can be self-formed further downstream due to the lateral constriction formed at the downstream end of the primary CPW.
Authors
- Kusack, Kyle ;
- Li, Tingan ;
- Venditti, Jeremy