Automated Author ProfileAntoł, Andrzej
Antoł, Andrzej
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: 3.4 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data on hypoxia tolerance, thermal preference and desiccation resistance of two isopod species: Oniscus asellus and Porcellio scaber. The species differ in lung type.
Authors
- Antoł, Andrzej
Data on hypoxia tolerance, thermal preference and desiccation resistance of two isopod species: Oniscus asellus and Porcellio scaber. The species differ in lung type.
Authors
- Antoł, Andrzej
Data on cell size and metabolic rate of common rough woodlice isopods.
Authors
- Antoł, Andrzej
Data on I. elegans damselfly eggs developmental time under different predator cues.
Authors
- Antoł, Andrzej
Data on I. elegans damselfly eggs developmental time under different predator cues.
Authors
- Antoł, Andrzej
Data on cell size and metabolic rate of common rough woodlice isopods.
Authors
- Antoł, Andrzej
The origin of the allometric relationship between the standard metabolic rate (MR) and body mass (M), often described as MR=aMb, remains puzzling. Much effort has been directed at determining the mass-scaling exponent, b, however, the conclusions depend on the methodological approach. We investigated the mass scaling of MRs within and between species of Carabidae beetles. We used ordinary least squares (OLS) regression, phylogenetically generalized least squares (PGLS) regression and standardized major axis (SMA) regression to explore the effects of different model-fitting methods and data clustering caused by phylogenetic clades (shift grade) and gas exchange patterns (discontinuous (DGE), cyclic and continuous). At the interspecific level, the relationship between MR and M was either negatively allometric (b<1) or isometric (b=1), depending on the fitting method. At the intraspecific level, the relationship either did not exist or it was isometric or positively allometric (b>1) and it was significantly improved after the analysed dataset was split to gas exchange patterns. The studied species originated from two distinct phylogenetic clades that had different intercepts but a common scaling exponent (OLS, 0.61) that was much shallower than the scaling exponent for the combined dataset for all species (OLS, 0.71). The best scaling exponent estimates were obtained by applying OLS while accounting for grade shifts or applying PGLS. Overall, our findings warn that conclusions about a relationship between MR and M in insects can depend heavily on the model fitting method, the structure of phylogenetic non-independence and ecological factors that elicit different modes of gas exchange.
Authors
- Gudowska, Agnieszka ;
- Schramm, Bartosz W. ;
- Czarnoleski, Marcin ;
- Antoł, Andrzej ;
- Bauchinger, Ulf ;
- Kozłowski, Jan
The origin of the allometric relationship between the standard metabolic rate (MR) and body mass (M), often described as MR=aMb, remains puzzling. Much effort has been directed at determining the mass-scaling exponent, b, however, the conclusions depend on the methodological approach. We investigated the mass scaling of MRs within and between species of Carabidae beetles. We used ordinary least squares (OLS) regression, phylogenetically generalized least squares (PGLS) regression and standardized major axis (SMA) regression to explore the effects of different model-fitting methods and data clustering caused by phylogenetic clades (shift grade) and gas exchange patterns (discontinuous (DGE), cyclic and continuous). At the interspecific level, the relationship between MR and M was either negatively allometric (b<1) or isometric (b=1), depending on the fitting method. At the intraspecific level, the relationship either did not exist or it was isometric or positively allometric (b>1) and it was significantly improved after the analysed dataset was split to gas exchange patterns. The studied species originated from two distinct phylogenetic clades that had different intercepts but a common scaling exponent (OLS, 0.61) that was much shallower than the scaling exponent for the combined dataset for all species (OLS, 0.71). The best scaling exponent estimates were obtained by applying OLS while accounting for grade shifts or applying PGLS. Overall, our findings warn that conclusions about a relationship between MR and M in insects can depend heavily on the model fitting method, the structure of phylogenetic non-independence and ecological factors that elicit different modes of gas exchange.
Authors
- Gudowska, Agnieszka ;
- Schramm, Bartosz W. ;
- Czarnoleski, Marcin ;
- Antoł, Andrzej ;
- Bauchinger, Ulf ;
- Kozłowski, Jan