Automated Author ProfileCerón, J.J.
Interdisciplinary Laboratory of Clinical Pathology, Interlab-UMU, University of Murcia, 30003 Murcia, Spain
Cerón, J.J.
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This study aims to report the implementation of the first nationwide pilot trial of balanced IWM in Europe, using a network of 11 pilot monitoring sites in Spain. The insights obtained in this pilot IWM trial will help to further develop a comprehensive IWM and serve as a reference for implementing IWM systems in other regions. For this purpose, a grid of 20 camera traps (Browning Strike Force HD ProX, Browning Arms Company®, Morgan, Utah, USA) was deployed for two months at each study site (n=11). REM was applied to wild boar (Sus scrofa), red deer (Cervus elaphus), and red fox (Vulpes vulpes) as the most frequently detected species. Relative abundance indexes, namely trapping rate and relative occupancy index, were calculated for the remaining, less frequently detected species. Files include the data necessary for the estimation of the population density by REM (DataREMZenodo.xlsx), data on indirect interactions recorded by camera traps at the pilot monitoring site level (DataIntZenodo.xlsx), and the metadata of the images (Metadata_imagesbyPP.xlsx).
Authors
- Barroso, P. ;
- Relimpio, D. ;
- Zearra, J.A. ;
- Cerón, J.J. ;
- Palencia, P. ;
- Cardoso, B. ;
- Ferreras, E. ;
- Escobar, M. ;
- Cáceres, G. ;
- López-Olvera, J.R. ;
- Gortázar, C.
This study aims to report the implementation of the first nationwide pilot trial of balanced IWM in Europe, using a network of 11 pilot monitoring sites in Spain. The insights obtained in this pilot IWM trial will help to further develop a comprehensive IWM and serve as a reference for implementing IWM systems in other regions. For this purpose, a grid of 20 camera traps (Browning Strike Force HD ProX, Browning Arms Company®, Morgan, Utah, USA) was deployed for two months at each study site (n=11). REM was applied to wild boar (Sus scrofa), red deer (Cervus elaphus), and red fox (Vulpes vulpes) as the most frequently detected species. Relative abundance indexes, namely trapping rate and relative occupancy index, were calculated for the remaining, less frequently detected species. Files include the data necessary for the estimation of the population density by REM (DataREMZenodo.xlsx), data on indirect interactions recorded by camera traps at the pilot monitoring site level (DataIntZenodo.xlsx), and the metadata of the images (Metadata_imagesbyPP.xlsx).
Authors
- Barroso, P. ;
- Relimpio, D. ;
- Zearra, J.A. ;
- Cerón, J.J. ;
- Palencia, P. ;
- Cardoso, B. ;
- Ferreras, E. ;
- Escobar, M. ;
- Cáceres, G. ;
- López-Olvera, J.R. ;
- Gortázar, C.