Automated Author ProfileSteinbrügge, Gregor
Steinbrügge, Gregor
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: 4.4 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Mercury Interior Models consistent with the obliquity measurements by Margot et al. 2012 moment of inertia factor (moi) = 0.346) and Genova et al. 2019 (moi = 0.333). For a description of the models and the associated methodology please see Steinbrügge et al. 2020, GRL (in press). The data is structured in 5 folders containing models with an Fe-S and Fe-Si core. The central values for Margot et al. 2012 are consistent with a moment of inertia factor (moi) of 0.346+/-0.014. Note that no solutions have been found for 0.346+0.014. The central values for Genova et al. 2019 are moi=0.333 +/-0.005. Each individual interior model is stored in ascii format with the file name indicating the inner core radius. The label for all files is # Radius [km] # Density [kg/m3] # Pressure [GPa] # Temperature [K] # Light Element Content [wt.%] References Margot, J.-L., Peale, S. J., Solomon, S. C., Hauck, S. A., Ghigo, F. D., Jurgens, R. F., Campbell, D. B. (2012). Mercury's moment of inertia from spin and gravity data. Journal of Geophysical Research: Planets, 117 (E12), E00L09. doi: 10.1029/518 2012JE004161 Genova, A., Goossens, S., Mazarico, E., Lemoine, F. G., Neumann, G. A., Kuang, W., Zuber, M. T. (2019). Geodetic Evidence That Mercury Has A Solid Inner Core. Geophysical Research Letters, 46 (7), 3625-3633. doi: 10.1029/2018GL081135
Authors
- Steinbrügge, Gregor
Mercury Interior Models consistent with the obliquity measurements by Margot et al. 2012 moment of inertia factor (moi) = 0.346) and Genova et al. 2019 (moi = 0.333). For a description of the models and the associated methodology please see Steinbrügge et al. 2020, GRL (in press). The data is structured in 5 folders containing models with an Fe-S and Fe-Si core. The central values for Margot et al. 2012 are consistent with a moment of inertia factor (moi) of 0.346+/-0.014. Note that no solutions have been found for 0.346+0.014. The central values for Genova et al. 2019 are moi=0.333 +/-0.005. Each individual interior model is stored in ascii format with the file name indicating the inner core radius. The label for all files is # Radius [km] # Density [kg/m3] # Pressure [GPa] # Temperature [K] # Light Element Content [wt.%] References Margot, J.-L., Peale, S. J., Solomon, S. C., Hauck, S. A., Ghigo, F. D., Jurgens, R. F., Campbell, D. B. (2012). Mercury's moment of inertia from spin and gravity data. Journal of Geophysical Research: Planets, 117 (E12), E00L09. doi: 10.1029/518 2012JE004161 Genova, A., Goossens, S., Mazarico, E., Lemoine, F. G., Neumann, G. A., Kuang, W., Zuber, M. T. (2019). Geodetic Evidence That Mercury Has A Solid Inner Core. Geophysical Research Letters, 46 (7), 3625-3633. doi: 10.1029/2018GL081135
Authors
- Steinbrügge, Gregor
Digital Terrain Models (DTMs) of Europa in Geotiff format. The stereo DTMs cover 7 regions of Europa based on Galileo images. Two regions (Conamara Chaos and Yelland) are covered with two different resolutions. For a description of the methodology see Giese et al. 1999. The geological regions are described in Steinbruegge et al. 2020. Please also see Steinbruegge et al. 2020, Table 1 for a list of orthoimages used as stereo-pairs and for the resolution of the individual images and DTMs. References: B. Giese, R. Wagner, G. Neukum., J.M. Moore. The local topography of Europa’s crater Cilix derived from Galileo SSI stereo images. Lunar and Planetary Science Conference 1999;30. G. Steinbrügge, J. R.C. Voigt, D. M. Schroeder, A. Stark, M. S. Haynes, K. M. Scanlan, C. W. Hamilton, D. A. Young, H. Hussmann, C. Grima, D. D. Blankenship. The surface roughness of Europa derived from Galileo stereo images. Icarus 2020. doi:10.1016/j.icarus.2020.113669
Authors
- Steinbrügge, Gregor
Digital Terrain Models (DTMs) of Europa in Geotiff format. The stereo DTMs cover 7 regions of Europa based on Galileo images. Two regions (Conamara Chaos and Yelland) are covered with two different resolutions. For a description of the methodology see Giese et al. 1999. The geological regions are described in Steinbruegge et al. 2020. Please also see Steinbruegge et al. 2020, Table 1 for a list of orthoimages used as stereo-pairs and for the resolution of the individual images and DTMs. References: B. Giese, R. Wagner, G. Neukum., J.M. Moore. The local topography of Europa’s crater Cilix derived from Galileo SSI stereo images. Lunar and Planetary Science Conference 1999;30. G. Steinbrügge, J. R.C. Voigt, D. M. Schroeder, A. Stark, M. S. Haynes, K. M. Scanlan, C. W. Hamilton, D. A. Young, H. Hussmann, C. Grima, D. D. Blankenship. The surface roughness of Europa derived from Galileo stereo images. Icarus 2020. doi:10.1016/j.icarus.2020.113669
Authors
- Steinbrügge, Gregor