Automated Author ProfileBaeza-Romero, María Teresa
University of Castilla-La Mancha0000-0001-6891-4982
Baeza-Romero, María Teresa
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: 0.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset provides experimental and modelling data used to investigate black carbon as potentially important atmospheric ice nucleating particles. The experimetnal data show no significant ice nucleation activity above the handling blank baseline. The modelling data show that previous parameterizations overerstimate the importance of black carbon, and give an indication of the ice nucleation activity required in order for black carbon to be a significant atmospheric INP.
Authors
- Vergara-Temprado, Jesús ;
- Holden, Mark ;
- Orton, Thomas R. ;
- O'Sullivan, Daniel ;
- Umo, Nsikanabasi S. ;
- Browse, Jo ;
- Reddington, Carly ;
- Baeza-Romero, María Teresa ;
- Jones, Jenny M. ;
- Lea-Langton, Amanda ;
- Williams, Alan ;
- Carslaw, Ken S. ;
- Murray, Benjamin J.