Automated Author ProfileAmann, Thorben
0000-0001-9347-0615
Amann, Thorben
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: 18.1 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset includes shapefiles of recent and LGM loess distribution, which were used to quantify chemical weathering fluxes of loess deposits for the LGM, the mid-Holocene and the recent time.
Authors
- Börker, Janine ;
- Hartmann, Jens ;
- Amann, Thorben ;
- Romero-Mujalli, Gibran ;
- Moosdorf, Nils ;
- Jenkins, Chris
No description available
Authors
- Börker, Janine ;
- Hartmann, Jens ;
- Amann, Thorben ;
- Romero-Mujalli, Gibran ;
- Moosdorf, Nils ;
- Jenkins, Chris
This dataset includes alkalinity measurements of a loess weathering column experiment, which was conducted under laboratory conditions with atmospheric pCO2.
Authors
- Börker, Janine ;
- Hartmann, Jens ;
- Amann, Thorben ;
- Romero-Mujalli, Gibran ;
- Moosdorf, Nils ;
- Jenkins, Chris
This dataset includes alkalinity measurements of a loess weathering column experiment, which was conducted under laboratory conditions with saturated pCO2.
Authors
- Börker, Janine ;
- Hartmann, Jens ;
- Amann, Thorben ;
- Romero-Mujalli, Gibran ;
- Moosdorf, Nils ;
- Jenkins, Chris
Mapped unconsolidated sediments cover half of the global land surface. They are of considerable importance for many Earth surface processes like weathering, hydrological fluxes or biogeochemical cycles. Ignoring their characteristics or spatial extent may lead to misinterpretations in Earth System studies. Therefore, a new Global Unconsolidated Sediments Map database (GUM) was compiled, using regional maps specifically representing unconsolidated and quaternary sediments. The new GUM database provides insights into the regional distribution of unconsolidated sediments and their properties. The GUM comprises 911,551 polygons and describes not only sediment types and subtypes, but also parameters like grain size, mineralogy, age and thickness, where available. Previous global lithological maps or databases lacked detail for reported unconsolidated sediment areas or missed large areas, and reported a global coverage of 25 to 30%, considering the ice-free land area. Here, alluvial sediments cover about 23% of the mapped total ice-free area, followed by aeolian sediments (~21%), glacial sediments (~20%), and colluvial sediments (~16%). A specific focus during the creation of the database was on the distribution of loess deposits, since loess is highly reactive and relevant to understand geochemical cycles related to dust deposition and weathering processes. An additional layer compiling pyroclastic sediment is added, which merges consolidated and unconsolidated pyroclastic sediments. The compilation shows latitudinal abundances of sediment types related to climate of the past.
Authors
- Börker, Janine ;
- Hartmann, Jens ;
- Amann, Thorben ;
- Romero-Mujalli, Gibran