Automated Author ProfileKramer, David
jan ingenhousz institute
Kramer, David
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: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
We assessed seasonal and intra-canopy variations in leaf energy partitioning in central Amazonian forests with extensive in-canopy sampling and pulse amplitude modulated (PAM) chlorophyll fluorescence measurements. In order to cover seasonal variation of leaf microenvironments and energy partitioning, we compared measurements between dry (Jul.-Dec.) and wet (Jan.-Mar.) seasons in the TNF K67 site. The dataset includes the pathways of photon utilization for photochemistry (ΦPSII), heat dissipation (ΦNPQ), and fluorescence re-emission (ΦNO). Dry season field campaigns were conducted in 2019, 2021, and 2022, and a wet season campaign was conducted in 2023. We conducted pulse amplitude modulated (PAM) chlorophyll-a fluorescence measurements and sampling of microenvironmental variation at the leaf level with the MultispeQ (V2.0).
Authors
- Ziccardi, Leonardo ;
- Campos, Kleber ;
- Kramer, David ;
- Stark, Scott