Automated Organization ProfileKIT Karlsruhe Institute of Technology, Karlsruhe, Germany
KIT Karlsruhe Institute of Technology, Karlsruhe, Germany
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 99.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains data of measurements at several inland water bodies in the region around Karlsruhe, Germany, including spectral data and mainly chlorophyll a values. The measurements are motivated by the idea to link remote sensing data and in-situ acquired data for an estimation of selected water parameters solely based on spectral data with data-driven machine learning approaches. To address this topic, we monitored the selected inland water bodies with a spectrometer as a remote sensing device and two in-situ measurement devices to collect among others the chlorophyll a values during the summers of the years 2018 and 2019. The eleven selected water bodies are characterized by a relatively small size and a variety of different chlorophyll a concentrations. In sum, the dataset of the year 2018 consists of 1,305 datapoints and the dataset of the year 2019 includes 2,830 datapoints. Each datapoint is defined by the spectral data in the range of 389 nm to 910 nm and all in-situ measured reference values such as the chlorophyll a concentration of the respective year. Depending on the applied in-situ measurement device, the chlorophyll a concentration or additional water parameters were either measured directly on-site or taken as water samples and analyzed in the laboratory. We provide the data in nearly raw format including information about the water bodies. The data are organized along the year of the measurements. In addition, exemplary scripts for reading and processing the data are included.
Authors
- Maier, Philipp M. ;
- Keller, Sina
The World Stress Map (WSM) is the global repository for contemporary tectonic stress data from the Earth's crust. Its uniformity and quality is guaranteed through quality ranking of the data according to international standards and a standardized regime assignment. The WSM merges data which otherwise would be fragmented in separate, often inaccessible archives. It provides the long-term preservation of tectonic stress data from physical loss of data carriers or organizational problems of data storage. The data are provided as Excel table (xlsx) and tab-delimited text.
Authors
- Heidbach, Oliver ;
- Tingay, Mark ;
- Barth, Andreas ;
- Reinecker, John ;
- Kurfess, Daniel ;
- Mueller, Birgit