Automated Organization ProfileLaboratorio de Ecología de Bosques Tropicales y Primatología, Universidad de Los Andes, 111711, Bogotá D.C, Colombia
Laboratorio de Ecología de Bosques Tropicales y Primatología, Universidad de Los Andes, 111711, Bogotá D.C, Colombia
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: 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
The Global Wood Density Database v.2The Global Wood Density Database v.2 (GWDD v.2) is a collection of 109,626 taxonomically standardized wood density records and 15,093 additional bark density records. It includes and supersedes the GWDD (Zanne et al. 2009, https://doi.org/10.5061/dryad.234). Data include measurements at different levels of aggregation (individual, species) and both georeferenced records and values from the literature. For a full description of the database, please see the corresponding manuscript (Fischer et al. 2025. Beyond species means - the intraspecific contribution to global wood density variation. In review. Preprint on BioRxiv: https://doi.org/10.1101/2025.08.25.671896). If using the GWDD v.2 in your work, please cite Fischer et al. 2025 as well as this repository using the corresponding DOI (10.5281/zenodo.16919510).Raw wood density dataThis collection contains one metadata file and raw data files in .csv format. Since special characters (e.g., in the references) can be distorted by operating systems when reading in .csv files, we also provide all data in .RData format, which can be loaded into R with the load() function. columns_gwdd_v2.1: metadata for all the columns included in the GWDD v.2gwdd_v2.1: the GWDD v.2, including all 109,626 wood density recordsgwdd_v2.1_withbark: the GWDD v.2, including all 109,626 wood density records and 15,093 additional bark density records Aggregated wood density dataIn addition, we provide pre-aggregated wood density data, with wood density estimates at species, binomial species and genus level. Wood density estimates are derived from hierarchical (random effects) models and provided both as simple species mean values (wsg_est) and as species mean values for trunks (wsg_est_trunk) and branches (wsg_est_branch) separately. In addition, we provide raw wood density means (wsg_raw), but we do not recommend using them for practical purposes due to outliers for poorly sampled species.gwddagg_v2.1_species: pre-aggregated wood density values for 17,261 species, including infraspecific epithets; comprises 16,828 taxonomically resolved species well as 433 values with uncertain taxonomic statusgwddagg_v2.1_binomial: pre-aggregated wood density values for 16,905 binomial speciesgwddagg_v2.1_genus: pre-aggregated wood density values for 3,198 genera
Authors
- Fischer, Fabian Jörg ;
- Chave, Jerome ;
- Zanne, Amy ;
- Jucker, Tommaso ;
- Fajardo, Alex ;
- Fayolle, Adeline ;
- Ferreira de Lima, Renato Augusto ;
- Vieilledent, Ghislain ;
- Beeckman, Hans ;
- Hubau, Wannes ;
- De Mil, Tom ;
- Wallenus, Daniel ;
- Aldana, Ana María ;
- Alvarez-Davila, Esteban ;
- Alves, Luciana ;
- Apgaua, Deborah Mattos Guimarães ;
- Arcanjo, Fátima ;
- Bastin, Jean-Francois ;
- Bilous, Andrii ;
- Birnbaum, Philippe ;
- Blyshchyk, Volodymyr ;
- Borah, Joli ;
- Boukili, Vanessa ;
- Camarero, J. Julio ;
- Casas Caro, Luisa Fernanda ;
- Cazzolla Gatti, Roberto ;
- Chambers, Jeffrey Q ;
- Chimbioputo Fabiano, Ezequiel ;
- Choat, Brendan ;
- Conti, Georgina ;
- Cornwell, Will ;
- Dar, Javid Ahmad ;
- Das, Ashesh Kumar ;
- Dobler, Magnus ;
- Dougabka, Dao ;
- Edwards, David ;
- Evans, Robert ;
- Falster, Daniel ;
- Fearnside, Philip ;
- Flores, Olivier ;
- Fyllas, Nikolaos ;
- Gerard, Jean ;
- Goodman, Rosa ;
- Guibal, Daniel ;
- Henao-Diaz, Luis Francisco ;
- Hervé, Vincent ;
- Hietz, Peter ;
- Homeier, Jürgen ;
- Ibanez, Thomas, Paul ;
- Ilic, Hugo ;
- Jansen, Steven ;
- Kalita, Rinku Moni ;
- Kenzo, Tanaka ;
- Kindermann, Liana ;
- Kothandaraman, Subashree ;
- Kotowska, Martyna ;
- Kubota, Yasuhiro ;
- Langbour, Patrick ;
- Lawson, James ;
- de Lima, André Luiz Alves ;
- Link, Roman Mathias ;
- Linstädter, Anja ;
- López, Rosana ;
- Macinnis-Ng, Cate ;
- Magnago, Luiz ;
- Martin, Adam Robert ;
- Matheny, Ashley Michelle ;
- McCarthy, James ;
- Miller, Regis B ;
- Nath, Arun Jyoti ;
- Nelson, Bruce ;
- Njana, Marco ;
- Nogueira, Euler Melo ;
- Oliveira, Alexandre ;
- Oliveira, Rafael ;
- Olson, Mark ;
- Onoda, Yusuke ;
- Paul, Keryn ;
- Piotto, Daniel ;
- Radtke, Phil ;
- Razafindratsima, Onja ;
- Ramananantoandro, Tahiana ;
- Read, Jennifer ;
- Richardson, Sarah ;
- de la Riva, Enrique G ;
- Rodriguez Reyes, Oris ;
- Rolim, Samir ;
- Rolo, Victor ;
- Rosell, Julieta A. ;
- Salguero-Gomez, Roberto ;
- Santini, Nadia ;
- Schuldt, Bernhard ;
- Schwendenmann, Luitgard ;
- Sellin, Arne ;
- Staples, Timothy ;
- Stevenson, Pablo R ;
- Sundarapandian, Somaiah ;
- van der Sande, Masha ;
- Thibaut, Bernard ;
- Tng, David ;
- Torezan, Jose Marcelo ;
- Villanueva, Boris ;
- Weiskittel, Aaron ;
- Wells, Jessie ;
- Wright, S Joseph ;
- Zieminska, Kasia
The Global Wood Density Database v.2The Global Wood Density Database v.2 (GWDD v.2) is a collection of 109,626 taxonomically standardized wood density records and 15,093 additional bark density records. It includes and supersedes the GWDD (Zanne et al. 2009, https://doi.org/10.5061/dryad.234). Data include measurements at different levels of aggregation (individual, species) and both georeferenced records and values from the literature. For a full description of the database, please see the corresponding manuscript (Fischer et al. 2025. Beyond species means - the intraspecific contribution to global wood density variation. In review. Preprint on BioRxiv: https://doi.org/10.1101/2025.08.25.671896). If using the GWDD v.2 in your work, please cite Fischer et al. 2025 as well as this repository using the corresponding DOI (10.5281/zenodo.16919510).Raw wood density dataThis collection contains one metadata file and raw data files in .csv format. Since special characters (e.g., in the references) can be distorted by operating systems when reading in .csv files, we also provide all data in .RData format, which can be loaded into R with the load() function. columns_gwdd_v2.1: metadata for all the columns included in the GWDD v.2gwdd_v2.1: the GWDD v.2, including all 109,626 wood density recordsgwdd_v2.1_withbark: the GWDD v.2, including all 109,626 wood density records and 15,093 additional bark density records Aggregated wood density dataIn addition, we provide pre-aggregated wood density data, with wood density estimates at species, binomial species and genus level. Wood density estimates are derived from hierarchical (random effects) models and provided both as simple species mean values (wsg_est) and as species mean values for trunks (wsg_est_trunk) and branches (wsg_est_branch) separately. In addition, we provide raw wood density means (wsg_raw), but we do not recommend using them for practical purposes due to outliers for poorly sampled species.gwddagg_v2.1_species: pre-aggregated wood density values for 17,261 species, including infraspecific epithets; comprises 16,828 taxonomically resolved species well as 433 values with uncertain taxonomic statusgwddagg_v2.1_binomial: pre-aggregated wood density values for 16,905 binomial speciesgwddagg_v2.1_genus: pre-aggregated wood density values for 3,198 genera
Authors
- Dobler, Magnus ;
- Dougabka, Dao ;
- Edwards, David ;
- Evans, Robert ;
- Falster, Daniel ;
- Fearnside, Philip ;
- Flores, Olivier ;
- Fyllas, Nikolaos ;
- Gerard, Jean ;
- Goodman, Rosa ;
- Guibal, Daniel ;
- Henao-Diaz, Luis Francisco ;
- Hervé, Vincent ;
- Hietz, Peter ;
- Homeier, Jürgen ;
- Ibanez, Thomas, Paul ;
- Ilic, Hugo ;
- Jansen, Steven ;
- Kalita, Rinku Moni ;
- Kenzo, Tanaka ;
- Kindermann, Liana ;
- Kothandaraman, Subashree ;
- Kotowska, Martyna ;
- Kubota, Yasuhiro ;
- Langbour, Patrick ;
- Lawson, James ;
- de Lima, André Luiz Alves ;
- Link, Roman Mathias ;
- Linstädter, Anja ;
- López, Rosana ;
- Macinnis-Ng, Cate ;
- Magnago, Luiz ;
- Martin, Adam Robert ;
- Matheny, Ashley Michelle ;
- McCarthy, James ;
- Miller, Regis B ;
- Nath, Arun Jyoti ;
- Nelson, Bruce ;
- Njana, Marco ;
- Nogueira, Euler Melo ;
- Oliveira, Alexandre ;
- Oliveira, Rafael ;
- Olson, Mark ;
- Onoda, Yusuke ;
- Paul, Keryn ;
- Piotto, Daniel ;
- Radtke, Phil ;
- Razafindratsima, Onja ;
- Ramananantoandro, Tahiana ;
- Read, Jennifer ;
- Richardson, Sarah ;
- de la Riva, Enrique G ;
- Rodriguez Reyes, Oris ;
- Rolim, Samir ;
- Rolo, Victor ;
- Rosell, Julieta A. ;
- Salguero-Gomez, Roberto ;
- Fischer, Fabian Jörg ;
- Chave, Jerome ;
- Zanne, Amy ;
- Jucker, Tommaso ;
- Dar, Javid Ahmad ;
- Fajardo, Alex ;
- Fayolle, Adeline ;
- Ferreira de Lima, Renato Augusto ;
- Vieilledent, Ghislain ;
- Beeckman, Hans ;
- Hubau, Wannes ;
- De Mil, Tom ;
- Wallenus, Daniel ;
- Aldana, Ana María ;
- Alvarez-Davila, Esteban ;
- Alves, Luciana ;
- Apgaua, Deborah Mattos Guimarães ;
- Arcanjo, Fátima ;
- Bastin, Jean-Francois ;
- Bilous, Andrii ;
- Birnbaum, Philippe ;
- Blyshchyk, Volodymyr ;
- Borah, Joli ;
- Boukili, Vanessa ;
- Camarero, J. Julio ;
- Casas Caro, Luisa Fernanda ;
- Cazzolla Gatti, Roberto ;
- Chambers, Jeffrey Q ;
- Chimbioputo Fabiano, Ezequiel ;
- Choat, Brendan ;
- Conti, Georgina ;
- Cornwell, Will ;
- Das, Ashesh Kumar ;
- Santini, Nadia ;
- Schuldt, Bernhard ;
- Schwendenmann, Luitgard ;
- Sellin, Arne ;
- Staples, Timothy ;
- Stevenson, Pablo R ;
- Sundarapandian, Somaiah ;
- van der Sande, Masha ;
- Thibaut, Bernard ;
- Tng, David ;
- Torezan, Jose Marcelo ;
- Villanueva, Boris ;
- Weiskittel, Aaron ;
- Wells, Jessie ;
- Wright, S Joseph ;
- Zieminska, Kasia