Automated Author ProfileKumler, William
Kumler, William
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: 3.6 (sum of 12 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is the raw data as collected from the Presens respirometer. Each day has its own Excel file, and each Excel file has two blank wells (A1 and A6), two control wells (A2 and A3) and two treatment wells (A4 and A5). R code for data collection is uploaded elsewhere.
Authors
- Kumler, William
This is the raw data as collected from the Presens respirometer. Each day has its own Excel file, and each Excel file has two blank wells (A1 and A6), two control wells (A2 and A3) and two treatment wells (A4 and A5). R code for data collection is uploaded elsewhere.
Authors
- Kumler, William
This is the raw data as collected from the Presens respirometer. Each day has its own Excel file, and each Excel file has two blank wells (A1 and A6), two control wells (A2 and A3) and two treatment wells (A4 and A5). R code for data collection is uploaded elsewhere.
Authors
- Kumler, William
This is the raw data as collected from the Presens respirometer. Each day has its own Excel file, and each Excel file has two blank wells (A1 and A6), two control wells (A2 and A3) and two treatment wells (A4 and A5). R code for data collection is uploaded elsewhere.
Authors
- Kumler, William
All collected was processed in R. The scripts here collect data from various sources and collate them into useful Excel files using the R package xlsx
Authors
- Kumler, William
All collected was processed in R. The scripts here collect data from various sources and collate them into useful Excel files using the R package xlsx
Authors
- Kumler, William
These Excel files are the raw data output from the toxicity assays for the green alga Boodlea kaeneana. Each Excel file includes the data from four blank wells (A1, A6, B1, B6), two positive control wells (A2, A3), two negative control wells (B2, B3), and two toxin assay wells (A4, A5). Analysis happens through an R script uploaded elsewhere.
Authors
- Kumler, William
These Excel files are the raw data output from the toxicity assays for the green alga Boodlea kaeneana. Each Excel file includes the data from four blank wells (A1, A6, B1, B6), two positive control wells (A2, A3), two negative control wells (B2, B3), and two toxin assay wells (A4, A5). Analysis happens through an R script uploaded elsewhere.
Authors
- Kumler, William
These Excel files are the raw data output from the toxicity assays for the brown alga Sargassum mangarevense. Each Excel file includes the data from four blank wells (A1, A6, B1, B6), two positive control wells (A2, A3), two negative control wells (B2, B3), and two toxin assay wells (A4, A5). Analysis happens through an R script uploaded elsewhere.
Authors
- Kumler, William
These Excel files are the raw data output from the toxicity assays for the brown alga Sargassum mangarevense. Each Excel file includes the data from four blank wells (A1, A6, B1, B6), two positive control wells (A2, A3), two negative control wells (B2, B3), and two toxin assay wells (A4, A5). Analysis happens through an R script uploaded elsewhere.
Authors
- Kumler, William