Automated Author ProfileSvalova, Aleksandra
Svalova, Aleksandra
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: 2.9 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Ultrasonic velocity characterisation measurements of the E1, E2, E3 and E4 asphaltenes. In every file, the columns include asphaltene concentration, mean velocity measurement and standard deviation of every velocity measurement.
Authors
- Svalova, Aleksandra
Ultrasonic velocity characterisation measurements of the E1, E2, E3 and E4 asphaltenes. In every file, the columns include asphaltene concentration, mean velocity measurement and standard deviation of every velocity measurement.
Authors
- Svalova, Aleksandra
This is a repository for the data used in emulating computer experiments of deterioration of infrastructure slopes.
The DATA.csv file includes the raw data.
The ManuscriptDATA.csv file includes all of the data used for computer experiments, with inputs from DATA.csv (some columns have been transformed, see the CodeExample PDF or RMarkdown files for information) and TTF.csv.
The CodeExample RMarkdown and PDF files provide R code to reproduce the results in the file FULLsqM5N.rds. They can be found in (DOI) https://doi.org/10.25405/data.ncl.14447670
Authors
- Svalova, Aleksandra
This is a repository for the data used in emulating computer experiments of deterioration of infrastructure slopes.
The DATA.csv file includes the raw data.
The ManuscriptDATA.csv file includes all of the data used for computer experiments, with inputs from DATA.csv (some columns have been transformed, see the CodeExample PDF or RMarkdown files for information) and TTF.csv.
The CodeExample RMarkdown and PDF files provide R code to reproduce the results in the file FULLsqM5N.rds. They can be found in (DOI) 10.25405/data.ncl.14447670
Authors
- Svalova, Aleksandra
This is a repository for the data used in emulating computer experiments of deterioration of infrastructure slopes.
The DATA.csv file includes the raw data.
The ManuscriptDATA.csv file includes all of the data used for computer experiments, with inputs from DATA.csv (some columns have been transformed, see the CodeExample PDF or RMarkdown files for information) and TTF.csv.
The CodeExample RMarkdown and PDF files provide R code to reproduce the results in the file FULLsqM5N.rds. They can be found in (DOI) https://doi.org/10.25405/data.ncl.14447670
Authors
- Svalova, Aleksandra