Automated Author Profile

Thielmann, Marcel

Bavarian Geoinstitute, University of Bayreuth, Bayreuth, Germany
0000-0003-1185-3730

Current S-Index

9.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.9

Average Dataset Index per dataset

Total Datasets

5

Total datasets for this author

Average FAIR Score

68.8%

Average FAIR Score per dataset

Total Citations

4

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Lower-crustal earthquakes: Strain rate controls the magnitude and rate of stress amplification in rigid blocks (Data)

This repository contains all files necessary to reproduce the results of:Zertani, S., Thielmann, M., Menegon, L.: Lower-crustal earthquakes: Strain rate controls the magnitude and rate of stress amplification in rigid blocks, submitted to Geophysical Research Letters

Authors

  • Zertani, Sascha ;
  • Thielmann, Marcel ;
  • Menegon, Luca
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.14443402January 2025

Lower-crustal earthquakes: Strain rate controls the magnitude and rate of stress amplification in rigid blocks (Data)

This repository contains all files necessary to reproduce the results of:Zertani, S., Thielmann, M., Menegon, L.: Lower-crustal earthquakes: Strain rate controls the magnitude and rate of stress amplification in rigid blocks, submitted to Geophysical Research Letters

Authors

  • Zertani, Sascha ;
  • Thielmann, Marcel ;
  • Menegon, Luca
1 Citation0 Mentions73% FAIR2.1 Dataset Index
10.5281/zenodo.14993006January 2025

Lower-crustal earthquakes: Strain rate controls the magnitude and rate of stress amplification in rigid blocks (Data)

This repository contains all files necessary to reproduce the results of:Zertani, S., Thielmann, M., Menegon, L.: Lower-crustal earthquakes: Strain rate controls the magnitude and rate of stress amplification in rigid blocks, submitted to Geophysical Research Letters

Authors

  • Zertani, Sascha ;
  • Thielmann, Marcel ;
  • Menegon, Luca
0 Citations0 Mentions44% FAIR1.1 Dataset Index
10.5281/zenodo.14443403December 2024

Subduction zone initiation (SZI) Database (Version: 1.0.0)

The Subduction zone initiation (SZI) Database is a cross-disciplinary and community-driven approach to gain an improved understanding of subduction zone initiation (SZI) and overcome the key long-standing questions of the Earth Sciences of how, when and where it happens on the Earth. The interdisciplinary database features more than a dozen documented SZI events that occurred during the last hundred million years. The SZI Database and its related online platform, www.szidatabase.org, is an easily-accessible, fully transparent, expandable platform that contains relevant SZI data and analyses, and establishes a common language to sharpen discussion across the Earth Science community. Further details and the first novel scientific insights gained based on the database are presented in Crameri et al. (2020, Nature Communications).

Authors

  • Crameri, Fabio ;
  • Magni, Valentina ;
  • Domeier, Mathew ;
  • Shephard, Grace ;
  • Chotalia, Kiran ;
  • Cooper, George ;
  • Eakin, Caroline ;
  • Grima, Antoniette Greta ;
  • Gürer, Derya ;
  • Király, Ágnes ;
  • Mulyukova, Elvira ;
  • Peters, Kalijn ;
  • Robert, Boris ;
  • Thielmann, Marcel
2 Citations0 Mentions77% FAIR2.4 Dataset Index
10.5281/zenodo.3756716April 2020

Subduction zone initiation (SZI) Database (Version: 1.0.0)

The Subduction zone initiation (SZI) Database is a cross-disciplinary and community-driven approach to gain an improved understanding of subduction zone initiation (SZI) and overcome the key long-standing questions of the Earth Sciences of how, when and where it happens on the Earth. The interdisciplinary database features more than a dozen documented SZI events that occurred during the last hundred million years. The SZI Database and its related online platform, www.szidatabase.org, is an easily-accessible, fully transparent, expandable platform that contains relevant SZI data and analyses, and establishes a common language to sharpen discussion across the Earth Science community. Further details and the first novel scientific insights gained based on the database are presented in Crameri et al. (2020, Nature Communications).

Authors

  • Crameri, Fabio ;
  • Magni, Valentina ;
  • Domeier, Mathew ;
  • Shephard, Grace ;
  • Chotalia, Kiran ;
  • Cooper, George ;
  • Eakin, Caroline ;
  • Grima, Antoniette Greta ;
  • Gürer, Derya ;
  • Király, Ágnes ;
  • Mulyukova, Elvira ;
  • Peters, Kalijn ;
  • Robert, Boris ;
  • Thielmann, Marcel
1 Citation0 Mentions77% FAIR2.0 Dataset Index
10.5281/zenodo.3756715April 2020