Automated Author ProfileRetana, Javier
Retana, Javier
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: 11.6 (sum of 30 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data results from the article "Lecina-Diaz, Judit, Martinez-Vilalta, Jordi, Alvarez, Albert, Vayreda, Jordi and Retana, Javier (2021). Assessing the risk of losing forest ecosystem services due to wildfires. Ecosystems."
Authors
- Lecina-Diaz, Judit ;
- Martínez-Vilalta, Jordi ;
- Alvarez, Albert ;
- Vayreda, Jordi ;
- Retana, Javier
Data results from the article "Lecina-Diaz, Judit, Martinez-Vilalta, Jordi, Alvarez, Albert, Vayreda, Jordi and Retana, Javier (2021). Assessing the risk of losing forest ecosystem services due to wildfires. Ecosystems."
Authors
- Lecina-Diaz, Judit ;
- Martínez-Vilalta, Jordi ;
- Alvarez, Albert ;
- Vayreda, Jordi ;
- Retana, Javier
Data results from the article "Lecina-Diaz, Judit, Martinez-Vilalta, Jordi, Alvarez, Albert, Vayreda, Jordi and Retana, Javier (2021). Assessing the risk of losing forest ecosystem services due to wildfires. Ecosystems."
Authors
- Lecina-Diaz, Judit ;
- Martínez-Vilalta, Jordi ;
- Alvarez, Albert ;
- Vayreda, Jordi ;
- Retana, Javier
Data of the article Judit Lecina-Diaz, Albert Alvarez, Adrián Regos, Pierre Drapeau, Alain Paquette, Christian Messier and Javier Retana. 2018. The positive carbon stocks - biodiversity relationship in forests: co-occurrence and drivers across five sub-climates. Ecological Applications.
2018-04-26
The following files included:
1) "table2_linear_models.csv" Cell data used to produce table 2 in the above publication. An explanation of the variable and units is included in methods section and Figure 2 of the publication.
2) "hotspots_carbon_birds_climates.csv"Cell data of hotspots and coldspots for carbon stocks and bird richness within the sub-climates studied (sub-climate delimitation, Figure S2A). Variables to compute the multinomial logistic models in table S4 are also included.
3) "hotspots_carbon_birds_regions.csv"Cell data of hotspots and coldspots for carbon stocks and bird richness within the regions studied (Figure 4A). Variables to compute the multinomial logistic models in table S4 are also included.
4) "hotspots_carbon_trees_climates.csv"Cell data of hotspots and coldspots for carbon stocks and tree richness within the sub-climates studied (sub-climate delimitation, Figure S2B).Variables to compute the multinomial logistic models in table S5 are also included.
5) "hotspots_carbon_trees_regions.csv"Cell data of hotspots and coldspots for carbon stocks and tree richness within the regions studied (Figure 4B).Variables to compute the multinomial logistic models in table S5 are also included.
6) "hotspots_carbon_overallbiodiv_climates.csv"Cell data of hotspots and coldspots for carbon stocks and overall biodiversity within the sub-climates studied (sub-climate delimitation, Figure S2C).Variables to compute the multinomial logistic models in table S6 are also included.
7) "hotspots_carbon_overallbiodiv_regions.csv"Cell data of hotspots and coldspots for carbon stocks and overall biodiversity within the regions studied (Figure 4C).Variables to compute the multinomial logistic models in table S6 are also included.
Authors
- Lecina-Diaz, Judit ;
- Alvarez, Albert ;
- Regos, Adrián ;
- Drapeau, Pierre ;
- Paquette, Alain ;
- Messier, Christian ;
- Retana, Javier
Data of the article Judit Lecina-Diaz, Albert Alvarez, Adrián Regos, Pierre Drapeau, Alain Paquette, Christian Messier and Javier Retana. 2018. The positive carbon stocks - biodiversity relationship in forests: co-occurrence and drivers across five sub-climates. Ecological Applications.
2018-04-26
The following files included:
1) "table2_linear_models.csv" Cell data used to produce table 2 in the above publication. An explanation of the variable and units is included in methods section and Figure 2 of the publication.
2) "hotspots_carbon_birds_climates.csv"Cell data of hotspots and coldspots for carbon stocks and bird richness within the sub-climates studied (sub-climate delimitation, Figure S2A). Variables to compute the multinomial logistic models in table S4 are also included.
3) "hotspots_carbon_birds_regions.csv"Cell data of hotspots and coldspots for carbon stocks and bird richness within the regions studied (Figure 4A). Variables to compute the multinomial logistic models in table S4 are also included.
4) "hotspots_carbon_trees_climates.csv"Cell data of hotspots and coldspots for carbon stocks and tree richness within the sub-climates studied (sub-climate delimitation, Figure S2B).Variables to compute the multinomial logistic models in table S5 are also included.
5) "hotspots_carbon_trees_regions.csv"Cell data of hotspots and coldspots for carbon stocks and tree richness within the regions studied (Figure 4B).Variables to compute the multinomial logistic models in table S5 are also included.
6) "hotspots_carbon_overallbiodiv_climates.csv"Cell data of hotspots and coldspots for carbon stocks and overall biodiversity within the sub-climates studied (sub-climate delimitation, Figure S2C).Variables to compute the multinomial logistic models in table S6 are also included.
7) "hotspots_carbon_overallbiodiv_regions.csv"Cell data of hotspots and coldspots for carbon stocks and overall biodiversity within the regions studied (Figure 4C).Variables to compute the multinomial logistic models in table S6 are also included.
Authors
- Lecina-Diaz, Judit ;
- Alvarez, Albert ;
- Regos, Adrián ;
- Drapeau, Pierre ;
- Paquette, Alain ;
- Messier, Christian ;
- Retana, Javier
Data of the article Judit Lecina-Diaz, Albert Alvarez, Adrián Regos, Pierre Drapeau, Alain Paquette, Christian Messier and Javier Retana. 2018. The positive carbon stocks - biodiversity relationship in forests: co-occurrence and drivers across five sub-climates. Ecological Applications.
2018-04-26
The following files included:
1) "table2_linear_models.csv" Cell data used to produce table 2 in the above publication. An explanation of the variable and units is included in methods section and Figure 2 of the publication.
2) "hotspots_carbon_birds_climates.csv"Cell data of hotspots and coldspots for carbon stocks and bird richness within the sub-climates studied (sub-climate delimitation, Figure S2A). Variables to compute the multinomial logistic models in table S4 are also included.
3) "hotspots_carbon_birds_regions.csv"Cell data of hotspots and coldspots for carbon stocks and bird richness within the regions studied (Figure 4A). Variables to compute the multinomial logistic models in table S4 are also included.
4) "hotspots_carbon_trees_climates.csv"Cell data of hotspots and coldspots for carbon stocks and tree richness within the sub-climates studied (sub-climate delimitation, Figure S2B).Variables to compute the multinomial logistic models in table S5 are also included.
5) "hotspots_carbon_trees_regions.csv"Cell data of hotspots and coldspots for carbon stocks and tree richness within the regions studied (Figure 4B).Variables to compute the multinomial logistic models in table S5 are also included.
6) "hotspots_carbon_overallbiodiv_climates.csv"Cell data of hotspots and coldspots for carbon stocks and overall biodiversity within the sub-climates studied (sub-climate delimitation, Figure S2C).Variables to compute the multinomial logistic models in table S6 are also included.
7) "hotspots_carbon_overallbiodiv_regions.csv"Cell data of hotspots and coldspots for carbon stocks and overall biodiversity within the regions studied (Figure 4C).Variables to compute the multinomial logistic models in table S6 are also included.
Authors
- Lecina-Diaz, Judit ;
- Alvarez, Albert ;
- Regos, Adrián ;
- Drapeau, Pierre ;
- Paquette, Alain ;
- Messier, Christian ;
- Retana, Javier
No description available
Authors
- Gibb, Heloise ;
- Sanders, Nathan ;
- Dunn, Robert R. ;
- Arnan, Xavier ;
- Vasconcellos, Heraldo ;
- Grossman, Blair ;
- Pacheco, Renata ;
- Donoso, David ;
- Andersen, Alan ;
- Silva, Rogerio ;
- Bishop, Tom ;
- Parr, Catherine ;
- Gomez, Crisanto ;
- Yusah, Kalsum ;
- Luke, Sarah ;
- Pearce-Duvet, Jessica ;
- Retana, Javier ;
- Tista, Melanie
Annual mortality rate of Scots pine per diameter class; x-axis numbers are the central value of the class, and classes are each 5 cm wide.
Authors
- Vilà-Cabrera, Albert ;
- Martínez-Vilalta, Jordi ;
- Vayreda, Jordi ;
- Retana, Javier
Annual mortality rate of Scots pine per diameter class; x-axis numbers are the central value of the class, and classes are each 5 cm wide.
Authors
- Vilà-Cabrera, Albert ;
- Martínez-Vilalta, Jordi ;
- Vayreda, Jordi ;
- Retana, Javier
Regression equations for the relationship between percentages of tree cover and stem density (stems per hectare).
Authors
- Rodrigo, Anselm ;
- Retana, Javier ;
- F. Xavier Picó