Automated Organization ProfileUniversidade Federal de Uberlândia
Universidade Federal de Uberlândia
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: 512.8 (sum of 164 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Zuanon, Lino
No description available
Authors
- Moura, Rafael Rios ;
- Valentim, Alisson ;
- Vasconcellos-Neto, João ;
- Gonzaga, Marcelo
No description available
Authors
- Moura, Rafael Rios ;
- Valentim, Alisson ;
- Vasconcellos-Neto, João ;
- Gonzaga, Marcelo
Neurolaeneae ITS Sequence for Phylogeny - most of the sequence are Calea.
Authors
- Resende Bueno, Vinícius
Neurolaeneae ITS Sequence for Phylogeny - most of the sequence are Calea.
Authors
- Resende Bueno, Vinícius
No description available
Authors
- Zuanon, Lino
Occurrence of urban forests in Brazilian cities with more than 100,000 inhabitants separated into biomes for use in climate modelling.
Authors
- Nunes Candido, Helder Marcos ;
- Bueno, Marcelo Leandro ;
- Cruz, Júlia ;
- Alvim Carvalho, Fabrício
Occurrence of urban forests in Brazilian cities with more than 100,000 inhabitants separated into biomes for use in climate modelling.
Authors
- Nunes Candido, Helder Marcos ;
- Bueno, Marcelo Leandro ;
- Cruz, Júlia ;
- Alvim Carvalho, Fabrício
Parasitoid larvae consume their hosts to obtain the nutritional resources required for their development. Parasitoid wasps can optimally select the size of their hosts by laying unfertilised and fertilised eggs according to the amount of biomass available for consumption by the larvae. However, parasitoids may eventually experience low host availability within the optimal range of body sizes, affecting the survival of their offspring. In this study, we identified a situation in which all available hosts (Leucauge volupis) were smaller than those previously observed to be parasitised by Hymenoepimecis pinheirensis at the same study site. Therefore, we investigated how these parasitoids can bypass the scarcity of ideal hosts. Female wasps biased their oviposition toward the largest L. volupis females available. In this suboptimal scenario, they did not oviposit only unfertilised eggs, which developed into relatively small offspring (males). In this situation, they lay fertilised eggs mainly on larger spiders. Larval mortality was high, but the larvae attached to the larger spiders were more likely to complete their development. In general, H. pinheirensis females managed to target the best hosts available, but could not delay the oviposition of fertilised eggs or avoid offspring mortality. Here, we discuss the potential causes of asynchronies in the life cycles of parasitoid wasps and their hosts, the availability of optimal hosts, and how these factors may affect their populations.
Authors
- Xavier, Gabriel ;
- Gonzaga, Marcelo ;
- Castro, Vitor ;
- Silva, William ;
- Valentim, Alisson ;
- Moura, Rafael
Analyses and simulations of pollen transfer between individuals plants, creating mating networks.
Authors
- Marcelo, Vanessa ;
- Darcie Marquitti, Flavia Maria ;
- Vallejo-Marín, Mario ;
- Brito, Vinícius