Automated Author ProfileMarschall, Lara
Marschall, Lara
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: 2.5 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is the raw multibeam data collected during cruise MSM109 using the hull-mounted Multibeam Echosounder Kongsberg EM122 (2 by 2 degrees with ice window). This data collection includes the transits from Tromsø to the Svalbard region, the surveys, and the transit back to Reykjavík. The swath width was set to 130 degrees. New Sound Velocity Profiles are inserted into the acquisition software after every CTD station. A Surface Sound Velocity sensor was used in real time to correct the data transmission. Depth mode was set to auto. Data was logged using the .ALL format from Kongsberg Maritime. Water Column Data was also recorded and integrated into PANGAEA as separate dataset.
Authors
- dos Santos Ferreira, Christian ;
- Marschall, Lara ;
- Serje Gutierrez, Angelly ;
- Bohrmann, Gerhard
This is the water column multibeam data collected during cruise MSM109 using the hull-mounted Multibeam Echosounder Kongsberg EM122 (2 by 2 degrees with ice window). This data collection includes the transits from Tromsø to the Svalbard region, the surveys, and the transit back to Reykjavík. The swath width was set to 130 degrees. Depth mode was set to auto which affects the resolution of the Water Column Data based on the depth. Data was logged using the .WCD format from Kongsberg Maritime. Raw Multibeam Data was also recorded and integrated into PANGAEA as separate dataset.
Authors
- dos Santos Ferreira, Christian ;
- Marschall, Lara ;
- Serje Gutierrez, Angelly ;
- Bohrmann, Gerhard
This is the sub-bottom profiler data collected during cruise MSM109 using the hull-mounted parametric sub-bottom profiler Atlas Parasound P70. This data collection includes the transits from Tromsø to the Svalbard region, the surveys, and the transit back to Reykjavík. The system utilises two high-intensity waves with frequencies of 18-20 kHz (primary high frequency; PHF) and 22-24 kHz to create a secondary high (about 40-42 kHz) and secondary low frequency (SLF) of about 4 kHz. The PHF is used to record the water column, while the SLP records the sub-bottom data. The system opening angle is of 4 by 5 degrees. A Surface Sound Velocity sensor was used in real time to correct the data transmission, and for the water column a static values of 1500 m/s was used. Data was logged using the software Atlas Parastore and stored in raw .ASD files. Additional files were created in .PS3 and/or .SEGY formats, but their data is dependent on the settings and parameters used in the system.
Authors
- dos Santos Ferreira, Christian ;
- Streuff, Katharina Teresa ;
- Marschall, Lara ;
- Serje Gutierrez, Angelly ;
- Bohrmann, Gerhard