Automated Author ProfileLu, Hongbo
lu_h
Lu, Hongbo
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: 2.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This project collected high resolution seismic data in support of a funded NSF proposal: Global and Local Controls on Depositional Cyclicity: the Canterbury Basin, New Zealand. Seismic, multibeam, magnetics and gravity data were acquired concurrently. This marine seismic reflection survey was designed to image high-frequency sedimentary sequences and sediment drifts with the goal of examining the interplay of global (eustacy) and local (tectonics, sediment supply rate and ocean currents) controls responsible for continental margin sedimentation and cyclicity. The data were used to develop an IODP proposal, eventually drilled as IODP Expedition 317 in 2009-2010. Funding was provided by NSF grant OCE-9731031.
Authors
- Fulthorpe, Craig S. ;
- Lu, Hongbo ;
- Mann, Paul