Automated Author ProfileMuijres, Florian T.
Muijres, Florian T.
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: 0.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The tri-axial accelerometer (ACC) datasets from European pied flycatcher (Ficedula hypoleuca) was measured at 100 Hz. Sixty-four tri-axial measurements, totalling 0.64 seconds, were used to form a behaviour segment. The dataset includes 2707 segments each forming a row in the dataset. Each row contains 193 columns. The first 192 columns are ACC measurements from three orthogonal axes, arranged as x, y, z, x, y, z, ...,x, y, z. The final column is of type character containing the corresponding behaviour, including: bill wiping, flying, food shaking, perching, preening, swallowing, and other. The dataset was first used in a journal publication entitled "Accelerometer sampling requirements for animal behaviour classification and estimation of energy expenditure" (https://doi.org/10.1186/s40317-023-00339-w).
Authors
- Yu, Hui ;
- Muijres, Florian T. ;
- te Lindert, Jan Severin ;
- Hedenström, Anders ;
- Henningsson, Per
The tri-axial accelerometer (ACC) datasets from European pied flycatcher (Ficedula hypoleuca) was measured at 100 Hz. Sixty-four tri-axial measurements, totalling 0.64 seconds, were used to form a behaviour segment. The dataset includes 2707 segments each forming a row in the dataset. Each row contains 193 columns. The first 192 columns are ACC measurements from three orthogonal axes, arranged as x, y, z, x, y, z, ...,x, y, z. The final column is of type character containing the corresponding behaviour, including: bill wiping, flying, food shaking, perching, preening, swallowing, and other. The dataset was first used in a journal publication entitled "Accelerometer sampling requirements for animal behaviour classification and estimation of energy expenditure" (https://doi.org/10.1186/s40317-023-00339-w).
Authors
- Yu, Hui ;
- Muijres, Florian T. ;
- te Lindert, Jan Severin ;
- Hedenström, Anders ;
- Henningsson, Per