Automated Author ProfileLabonne, Jacques
UMR 1224 ECOBIOP INRAE/UPPA0000-0001-5953-3029
Labonne, Jacques
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: 58.9 (sum of 45 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
:unav
Authors
- Labonne, Jacques
This file contains informations pertaining to a long term fish scale sample collection, gathered in the subantarctic islands Kerguelen and Crozet, in relationship to the long term monitoring program SALMEVOL-1041, funded by INRAE and the French Polar Institute. This collection is part of the CRB COLISA, RARE Infrastructure, and is also mentioned in the ZATA LTER framework (INEE/CNRS). The metadata are comaptible with the COLISA framework: https://www.colisa.fr/
Authors
- Labonne, Jacques ;
- Guéraud, François
Basic user manual, in French language.
Authors
- Labonne, Jacques ;
- Folio, Dorinda ;
- Vigier, Laure ;
- Caudron, Arnaud
The present file contains the CAPSIS-4 platform and the MEDITERRANEA model. Installation guide is provided at the following address: https://capsis.cirad.fr/capsis/documentation/installation_guide
Authors
- Labonne, Jacques ;
- Folio, Dorinda ;
- Vigier, Laure ;
- Caudron, Arnaud
The present files contain a standalone version of the MEDITERRANEA DG-ABM, a model that simulates eco-evolutionary dynamics in wild brown trout populations, with a focus on the interactions and hybridization between the Mediterranea and Atlantic lineages. A simple user manual is provided (in French language) in an asscoaited PDF file. A complete description of the model structure can be found in Folio 2022: https://theses.hal.science/tel-04122411
Authors
- Labonne, Jacques ;
- Folio, Dorinda ;
- Vigier, Laure ;
- Caudron, Arnaud
This file contains capture data of introduced salmonids in the subantarctic Islands of Kerguelen and Crozet.These data are maintained within the long term monitoring program SALMEVOL-1041, funded by INRAE and the French Polar Institute. This monitoring is also part of in the ZATA LTER framework (INEE/CNRS).
Authors
- Labonne, Jacques ;
- Guéraud, François
This dataset is a database of 89 original research studies using demo-genetic agent-based models (DG-ABMs) simulating interindividual interactions affecting fitness. Beside the complete reference of each study, this table describes in details the main features of each model, i.e. the type of interaction, the evolvable trait, the eco-evolutionary feedback, the inheritance model, and the possibility to account for management practices.
Authors
- Lamarins, Amaïa ;
- Fririon, Victor ;
- Folio, Dorinda ;
- Vernier, Camille ;
- Daupagne, Léa ;
- Labonne, Jacques ;
- Buoro, Mathieu ;
- Lefèvre, François ;
- Piou, Cyril ;
- Muratorio, Sylvie
Supplementary file for a Peer-reviewed and recommended article in PCI Evolutionary Biology. This appendix file will be linked to the PCJ (Peer Community Journal) version of the article.
Authors
- Chevalier, Louise ;
- Labonne, Jacques ;
- De Coligny, François
Contains Figures, code and supplementary methods cited in Louise Chevalier, François De Coligny and Jacques Labonne (2020). A demogenetic individual based model for the evolution of traits and genome architecture under sexual selection. bioRxiv 2020.04.01.014514, ver. 4 peer-reviewed and recommended by PCIEvolBiol. https://doi.org/10.1101/2020.0401014514
Authors
- Chevalier, Louise ;
- Labonne, Jacques ;
- De Coligny, François
This dataset describes the colonization dynamics of 8 introduced species + 1 hybrid complex of salmonids in the subAntarctic Kerguelen islands. It is composed of 1 matrix of presence-absence in space (rivers) and time (years) for each species. River names have been associated to SANDRE / COLISA codes (COLISA is a CRB from IR RARE). The format is an excel file with multpile sheets, with one sheet describing river data, one sheet describing species data, and all other sheets being species-specific colonization matrices (space X time).
Authors
- Labonne, Jacques