Automated Author ProfileYanan Zhu
Yanan Zhu
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: 10.1 (sum of 18 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The training and testing datasets for the SVM models. SVM models are trainied individually for positive and negative pulses. Each row in the text files is a the decimated electric field waveform (1 MS/s after decimation) in 100 µs window obtained by CAMMA sensors.
Authors
- Yanan Zhu
The training and testing datasets for the SVM models. SVM models are trainied individually for positive and negative pulses. Each row in the text files is a the decimated electric field waveform (1 MS/s after decimation) in 100 µs window obtained by CAMMA sensors.
Authors
- Yanan Zhu
All the files can be opened in Matlab or Python using scipy.io.loadmat. Tower_info.mat contains information on 1451 towers selected in this study. After_upgrade.mat (before the 2013 upgrade) and before_upgrade.mat (after the 2013 upgrade) give the median location error, median location error in EW and median location in NS for each tower with identifed area with elevated event density .
Authors
- Yanan Zhu
The Tower_info.mat contain the tower locations for 1451 towers used in this study.
The before_upgrade.mat contain the location error using towers before the ugprade.
The after_upgrade.mat contain the location error using towers after the ugprade.
Authors
- Yanan Zhu
All the files can be opened in Matlab or Python using scipy.io.loadmat. Tower_info.mat contains information on 1451 towers selected in this study. After_upgrade.mat (before the 2013 upgrade) and before_upgrade.mat (after the 2013 upgrade) give the median location error, median location error in EW and median location in NS for each tower with identifed area with elevated event density .
Authors
- Yanan Zhu
The Tower_info.mat contain the tower locations for 1451 towers used in this study.
The before_upgrade.mat contain the location error using towers before the ugprade.
The after_upgrade.mat contain the location error using towers after the ugprade.
Authors
- Yanan Zhu
These are CAMMA and LMA data presented in the paper.
Authors
- Yanan Zhu
raw optical and electric field data for tower flash 1593
Authors
- Yanan Zhu
raw optical and electric field data for tower flash 1593
Authors
- Yanan Zhu