Automated Author ProfileBäumle, Roland
Federal Institute for Geosciences and Natural Resources
Bäumle, Roland
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: 0.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A total of 119 groundwater samples were collected across the Mekong Delta in Vietnam for hydrochemical and isotopic analysis (major ions, secondary elements, δ2H-H2O, δ18O-H2O, δ13C-DIC, 14C-DIC). The campaign comprised samples from five deep, (semi-)confined aquifers of the Mekong Delta and was conducted in March and April 2021 at monitoring wells of the National Groundwater Monitoring Network in cooperation with the Division of Water Resources Planning and Investigation in the South of Vietnam (DWRPIS). At each well, about three well volumes of groundwater were pumped with a submersible pump and field parameters were measured using a flow cell. A set of five bottles was taken for analysis of cations and secondary elements (PET), anions and alkalinity (PET), dissolved organic carbon (DOC) (glass with aluminum cap), stable isotopes of water (glass), and carbon isotopes (HDPE). Water for cations and secondary elements was passed through 0.45 µm cellulose acetate filters and acidified with ultrapure nitric acid (Merck) to pH<2. The main objective of the project was to assess the impact of groundwater abstraction on groundwater flow and water quality in the different aquifers.
Authors
- Osenbrück, Karsten ;
- Steinel, Anke ;
- Montcoudiol, Nelly ;
- Manh, Le Van ;
- Degtjarev, Anna ;
- Fastert, Tanja ;
- Königer, Paul ;
- Viol, Mexwell ;
- Dee, Michael W ;
- Bäumle, Roland