Automated Author ProfileSchneider, Johannes
Max Planck Institute for Chemistry0000-0001-7169-3973
Schneider, Johannes
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: 107.5 (sum of 83 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Shen, Xiaoli ;
- Bell, David M. ;
- Coe, Hugh ;
- Hiranuma, Naruki ;
- Mahrt, Fabian ;
- Marsden, Nicholas A. ;
- Mohr, Claudia ;
- Murphy, Daniel M. ;
- Saathoff, Harald ;
- Schneider, Johannes ;
- Wilson, Jacqueline ;
- Zawadowicz, Maria A. ;
- Zelenyuk, Alla ;
- DeMott, Paul J. ;
- Möhler, Ottmar ;
- Cziczo, Daniel J.
This data set contains in-situ analysis of individual particles measured during HALO-(AC)³ in March/April 2022. Using the single particle aerosol mass spectrometer ALABAMA, particle size and chemical composition of single particles were analyzed onboard of the research aircraft Polar 6. The data provides time, location, particle size (if available), an integer value inlet_pos as indicator for the position of the ALABAMA inlet switch (2: CVI inlet, 4: standard aerosol inlet) as well as counts of different cluster types for each analyzed particle. The 38 clusters were determined by using a fuzzy-c-means algorithm, a method for grouping data points with similar signal pattern. The key chemical species of each cluster are given in the longname version of the cluster variables in the data files. A detailed description of the data processing will be done in an upcoming data paper.
Authors
- Eppers, Oliver ;
- Clemen, Hans-Christian ;
- Schneider, Johannes
During the HALO-(AC)³ campaign in March/ April 2022, in-situ particle number concentration and size distribution of ambient aerosol particles and cloud residual particles were measured using a Grimm Sky OPC (model 1.129 Sky-OPC). This data set provides the particle size distribution divided in 31 size bins between 0.25 µm and 40 µm. Particle number concentrations are pressure-corrected to standard temperature and pressure (STP). The time resolution of the instrument is 6 seconds. Each data point is given at the end of the corresponding measurement interval.
Authors
- Eppers, Oliver ;
- Clemen, Hans-Christian ;
- Schneider, Johannes
No description available
Authors
- Herber, Andreas ;
- Schneider, Johannes ;
- Borrmann, Stephan ;
- Voigt, Christiane ;
- Moser, Manuel
No description available
Authors
- Herber, Andreas ;
- Schneider, Johannes ;
- Borrmann, Stephan ;
- Voigt, Christiane ;
- Moser, Manuel
No description available
Authors
- Herber, Andreas ;
- Schneider, Johannes ;
- Borrmann, Stephan ;
- Voigt, Christiane ;
- Moser, Manuel
No description available
Authors
- Herber, Andreas ;
- Schneider, Johannes ;
- Borrmann, Stephan ;
- Voigt, Christiane ;
- Moser, Manuel
No description available
Authors
- Herber, Andreas ;
- Schneider, Johannes ;
- Borrmann, Stephan ;
- Voigt, Christiane ;
- Moser, Manuel
No description available
Authors
- Herber, Andreas ;
- Schneider, Johannes ;
- Borrmann, Stephan ;
- Voigt, Christiane ;
- Moser, Manuel