Automated Organization ProfileAix Marseille Université - LCE - UMR 7376
Aix Marseille Université - LCE - UMR 7376
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is a time series of particle number concentrations measured in the ambient air of Fairbanks, downtown during the winter 2022, in the framework of the Alpaca (ALaskan Pollution And Chemical Analysis ) campaign. The Alaskan Layered Pollution And Chemical Analysis (ALPACA) field experiment was a collaborative study designed to improve understanding of pollution sources and chemical processes during winter (cold climate and low-photochemical conditions), to investigate indoor pollution, and to study the dispersion of pollution as affected by frequent temperature inversions. An overview paper on the design, implementation, and results from the Alaskan Layered Pollution And Chemical Analysis field experiment can be found here : https://doi.org/10.1021/acsestair.3c00076.
Authors
- Temime-Roussel, Brice ;
- Danna, Barbara
This is a time series of particle number concentrations measured in the ambient air of Fairbanks, downtown during the winter 2022, in the framework of the Alpaca (ALaskan Pollution And Chemical Analysis ) campaign. The Alaskan Layered Pollution And Chemical Analysis (ALPACA) field experiment was a collaborative study designed to improve understanding of pollution sources and chemical processes during winter (cold climate and low-photochemical conditions), to investigate indoor pollution, and to study the dispersion of pollution as affected by frequent temperature inversions. An overview paper on the design, implementation, and results from the Alaskan Layered Pollution And Chemical Analysis field experiment can be found here : https://doi.org/10.1021/acsestair.3c00076.
Authors
- Temime-Roussel, Brice ;
- Danna, Barbara