Automated Organization ProfileDepartment of Botany and Plant Physiology, University of Málaga
Department of Botany and Plant Physiology, University of Málaga
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: 3.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Monospecific Mediterranean Pollen Images Dataset. It contains 19579 labeled images of different pollen taxa from different monospecific samples. Ideal for Object Detection tasks. Specifically, we have the following pollen types: Chenopodiaceae Cupressaceae Olea Pinus Urticaceae Causarina Palmaceae Plantago Platanus Poaceae Rumex This work is funded by the European project LIFEWATCH-2019-11-UMA-01-BD (‘EnBiC2-Lab - Environmental and Biodiversity Climate Change Lab’). A. Picornell was supported by a postdoctoral grant financed by the Ministry of Economic Transformation, Industry, Knowledge and Universities of the Junta de Andalucía (POSTDOC_21_00056).
Authors
- Chaves, Antonio Jesús ;
- Martín, Cristian ;
- Llopis Torres, Luis ;
- Díaz, Manuel ;
- Picornell, Antonio ;
- Ruiz-Mata, Rocío ;
- de Gálvez-Montañez, Enrique ;
- Recio, Marta ;
- Trigo, M. Mar
Monospecific Mediterranean Pollen Images Dataset. It contains 19579 labeled images of different pollen taxa from different monospecific samples. Ideal for Object Detection tasks. Specifically, we have the following pollen types: Chenopodiaceae Cupressaceae Olea Pinus Urticaceae Causarina Palmaceae Plantago Platanus Poaceae Rumex This work is funded by the European project LIFEWATCH-2019-11-UMA-01-BD (‘EnBiC2-Lab - Environmental and Biodiversity Climate Change Lab’). A. Picornell was supported by a postdoctoral grant financed by the Ministry of Economic Transformation, Industry, Knowledge and Universities of the Junta de Andalucía (POSTDOC_21_00056).
Authors
- Chaves, Antonio Jesús ;
- Martín, Cristian ;
- Llopis Torres, Luis ;
- Díaz, Manuel ;
- Picornell, Antonio ;
- Ruiz-Mata, Rocío ;
- de Gálvez-Montañez, Enrique ;
- Recio, Marta ;
- Trigo, M. Mar