Automated Organization Profile

Biostatistique et Processus Spatiaux

Current S-Index

12.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.0

Average Dataset Index per dataset

Total Datasets

13

Total datasets in this organization

Average FAIR Score

79.4%

Average FAIR Score per dataset

Total Citations

8

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Simulation outputs - Growth dynamics of the infty-parent SLFV process

No description available

Authors

  • LOUVET, Apolline ;
  • IGELBRINK, Jan Lukas
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.155845232025

Simulation outputs - Growth dynamics of the infty-parent SLFV process

No description available

Authors

  • LOUVET, Apolline ;
  • IGELBRINK, Jan Lukas
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.155845242025

Outputs from fitted models across the cross-validation scenarios for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'

Three Zenodo repositories are linked to the preprint Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area  (Lasgorceux et al., unpublished, https://hal.science/hal-04616332):Data, scripts and, code (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052)Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212)Supplementary information at (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12541412)This repository contains the outputs from fitted models across the cross-validation scenarios.In the folder Ouputs_cross_validation, each species is represented by a .RData file, numbered from 1 to 77 (excluding 7, which corresponds to Bombycilla garrulus; see the preprint for details). This dataset is specifically used to generate Figure 1, which shows the AUC of various cross-validation scenarios. To reproduce this figure in R, place all the files in the Results/Fitted_models folder and run the Models_Outputs.R script located in the Results folder of Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052.Note: These data have been separated due to memory requirements (23.14GB).

Authors

  • Lasgorceux, Florian ;
  • Papaïx, Julien ;
  • Bunz, Yoann ;
  • Combrisson, Damien ;
  • Opitz, Thomas
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.125442122024

Data, scripts and code for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'

Three Zenodo repositories are linked to the preprint Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area  (Lasgorceux et al., unpublished, https://hal.science/hal-04616332):Data, scripts, and code (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052)Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212)Supplementary information at (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12541412)This repository contains data, scripts, and code. It is organized into two main directories: Materials and Methods, and Results.Materials and MethodsThe raw data can be accessed in the Materials_and_Methods/Data directory. The processed data used for modeling is available in Materials_and_Methods/Data_for_modeling/Data_for_modeling.RData. All scripts for data processing are located in Materials_and_Methods/Processing_scripts. The Plots_and_Figures directory includes illustrations of the data used for modeling, such as PCA correlation plots presented in Supplementary information. The main script for running the model for each species is Main_script.R.ResultsThe Results directory contains three subdirectories and the script Models_Outputs.R. The Results/Fitted_models directory includes all .RData files with fitted models for each species. The script Models_Outputs.R generates all outputs (Figures, Tables, Numbers) included in the paper and additional results in the Supplementary Information, except for Figure 1 and AUC values. For these, refer to Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212. The plots are stored in the Results/Plots folder, while Results/RData contains intermediate .RData files created by Models_Outputs.R to manage computational costs.

Authors

  • Lasgorceux, Florian ;
  • Papaïx, Julien ;
  • Bunz, Yoann ;
  • Combrisson, Damien ;
  • Opitz, Thomas
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.125450512024

Data, scripts and code for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'

Three Zenodo repositories are linked to the preprint Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area  (Lasgorceux et al., unpublished, https://hal.science/hal-04616332):Data, scripts, and code (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052)Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212)Supplementary information at (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12541412)This repository contains data, scripts, and code. It is organized into two main directories: Materials and Methods, and Results.Materials and MethodsThe raw data can be accessed in the Materials_and_Methods/Data directory. The processed data used for modeling is available in Materials_and_Methods/Data_for_modeling/Data_for_modeling.RData. All scripts for data processing are located in Materials_and_Methods/Processing_scripts. The Plots_and_Figures directory includes illustrations of the data used for modeling, such as PCA correlation plots presented in Supplementary information. The main script for running the model for each species is Main_script.R.ResultsThe Results directory contains three subdirectories and the script Models_Outputs.R. The Results/Fitted_models directory includes all .RData files with fitted models for each species. The script Models_Outputs.R generates all outputs (Figures, Tables, Numbers) included in the paper and additional results in the Supplementary Information, except for Figure 1 and AUC values. For these, refer to Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212. The plots are stored in the Results/Plots folder, while Results/RData contains intermediate .RData files created by Models_Outputs.R to manage computational costs.

Authors

  • Lasgorceux, Florian ;
  • Papaïx, Julien ;
  • Bunz, Yoann ;
  • Combrisson, Damien ;
  • Opitz, Thomas
0 Citations0 Mentions69% FAIR1.7 Dataset Index
10.5281/zenodo.125450522024

Outputs from fitted models across the cross-validation scenarios for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'

Three Zenodo repositories are linked to the preprint Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area  (Lasgorceux et al., unpublished, https://hal.science/hal-04616332):Data, scripts and, code (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052)Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12544212)Supplementary information at (Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12541412)This repository contains the outputs from fitted models across the cross-validation scenarios.In the folder Ouputs_cross_validation, each species is represented by a .RData file, numbered from 1 to 77 (excluding 7, which corresponds to Bombycilla garrulus; see the preprint for details). This dataset is specifically used to generate Figure 1, which shows the AUC of various cross-validation scenarios. To reproduce this figure in R, place all the files in the Results/Fitted_models folder and run the Models_Outputs.R script located in the Results folder of Lasgorceux et al., Zenodo, https://doi.org/10.5281/zenodo.12545052.Note: These data have been separated due to memory requirements (23.14GB).

Authors

  • Lasgorceux, Florian ;
  • Papaïx, Julien ;
  • Bunz, Yoann ;
  • Combrisson, Damien ;
  • Opitz, Thomas
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.125442112024

Additional file 4 of Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence

Supplementary material 4: Table 2. Examples of event-based surveillance (EBS) systems to monitor and detect plant health threats and databases integrated into EBS systems.

Authors

  • Soubeyrand, S. ;
  • Estoup, A. ;
  • Cruaud, A. ;
  • Malembic-Maher, S. ;
  • Meynard, C. ;
  • Ravigné, V. ;
  • Barbier, M. ;
  • Barrès, B. ;
  • Berthier, K. ;
  • Boitard, S. ;
  • Dallot, S. ;
  • Gaba, S. ;
  • Grosdidier, M. ;
  • Hannachi, M. ;
  • Jacques, M.-A. ;
  • Leclerc, M. ;
  • Lucas, P. ;
  • Martinetti, D. ;
  • Mougel, C. ;
  • Robert, C. ;
  • Roques, A. ;
  • Rossi, J.-P. ;
  • Suffert, F. ;
  • Abad, P. ;
  • Auger-Rozenberg, M.-A. ;
  • Ay, J.-S. ;
  • Bardin, M. ;
  • Bernard, H. ;
  • Bohan, D. A. ;
  • Candresse, T. ;
  • Castagnone-Sereno, P. ;
  • Danchin, E. G. J. ;
  • Delmas, C. E. L. ;
  • Ezanno, P. ;
  • Fabre, F. ;
  • Facon, B. ;
  • Gabriel, E. ;
  • Gaudin, J. ;
  • Gauffre, B. ;
  • Gautier, M. ;
  • Guinat, C. ;
  • Lavigne, C. ;
  • Lemaire, O. ;
  • Martinez, C. ;
  • Michel, L. ;
  • Moury, B. ;
  • Nam, K. ;
  • Nédellec, C. ;
  • Ogliastro, M. ;
  • Papaïx, J. ;
  • Parisey, N. ;
  • Poggi, S. ;
  • Radici, A. ;
  • Rasplus, J.-Y. ;
  • Reboud, X. ;
  • Robin, C. ;
  • Roche, M. ;
  • Rusch, A. ;
  • Sauvion, N. ;
  • Streito, J.-C. ;
  • Verdin, E. ;
  • Walker, A.-S. ;
  • Xuéreb, A. ;
  • Thébaud, G. ;
  • Morris, C. E.
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.26996994.v12024

Additional file 3 of Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence

Supplementary material 3: Table 1. List of topics the authors contributed to in the article.

Authors

  • Soubeyrand, S. ;
  • Estoup, A. ;
  • Cruaud, A. ;
  • Malembic-Maher, S. ;
  • Meynard, C. ;
  • Ravigné, V. ;
  • Barbier, M. ;
  • Barrès, B. ;
  • Berthier, K. ;
  • Boitard, S. ;
  • Dallot, S. ;
  • Gaba, S. ;
  • Grosdidier, M. ;
  • Hannachi, M. ;
  • Jacques, M.-A. ;
  • Leclerc, M. ;
  • Lucas, P. ;
  • Martinetti, D. ;
  • Mougel, C. ;
  • Robert, C. ;
  • Roques, A. ;
  • Rossi, J.-P. ;
  • Suffert, F. ;
  • Abad, P. ;
  • Auger-Rozenberg, M.-A. ;
  • Ay, J.-S. ;
  • Bardin, M. ;
  • Bernard, H. ;
  • Bohan, D. A. ;
  • Candresse, T. ;
  • Castagnone-Sereno, P. ;
  • Danchin, E. G. J. ;
  • Delmas, C. E. L. ;
  • Ezanno, P. ;
  • Fabre, F. ;
  • Facon, B. ;
  • Gabriel, E. ;
  • Gaudin, J. ;
  • Gauffre, B. ;
  • Gautier, M. ;
  • Guinat, C. ;
  • Lavigne, C. ;
  • Lemaire, O. ;
  • Martinez, C. ;
  • Michel, L. ;
  • Moury, B. ;
  • Nam, K. ;
  • Nédellec, C. ;
  • Ogliastro, M. ;
  • Papaïx, J. ;
  • Parisey, N. ;
  • Poggi, S. ;
  • Radici, A. ;
  • Rasplus, J.-Y. ;
  • Reboud, X. ;
  • Robin, C. ;
  • Roche, M. ;
  • Rusch, A. ;
  • Sauvion, N. ;
  • Streito, J.-C. ;
  • Verdin, E. ;
  • Walker, A.-S. ;
  • Xuéreb, A. ;
  • Thébaud, G. ;
  • Morris, C. E.
1 Citation0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.269969912024

Additional file 3 of Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence

Supplementary material 3: Table 1. List of topics the authors contributed to in the article.

Authors

  • Soubeyrand, S. ;
  • Estoup, A. ;
  • Cruaud, A. ;
  • Malembic-Maher, S. ;
  • Meynard, C. ;
  • Ravigné, V. ;
  • Barbier, M. ;
  • Barrès, B. ;
  • Berthier, K. ;
  • Boitard, S. ;
  • Dallot, S. ;
  • Gaba, S. ;
  • Grosdidier, M. ;
  • Hannachi, M. ;
  • Jacques, M.-A. ;
  • Leclerc, M. ;
  • Lucas, P. ;
  • Martinetti, D. ;
  • Mougel, C. ;
  • Robert, C. ;
  • Roques, A. ;
  • Rossi, J.-P. ;
  • Suffert, F. ;
  • Abad, P. ;
  • Auger-Rozenberg, M.-A. ;
  • Ay, J.-S. ;
  • Bardin, M. ;
  • Bernard, H. ;
  • Bohan, D. A. ;
  • Candresse, T. ;
  • Castagnone-Sereno, P. ;
  • Danchin, E. G. J. ;
  • Delmas, C. E. L. ;
  • Ezanno, P. ;
  • Fabre, F. ;
  • Facon, B. ;
  • Gabriel, E. ;
  • Gaudin, J. ;
  • Gauffre, B. ;
  • Gautier, M. ;
  • Guinat, C. ;
  • Lavigne, C. ;
  • Lemaire, O. ;
  • Martinez, C. ;
  • Michel, L. ;
  • Moury, B. ;
  • Nam, K. ;
  • Nédellec, C. ;
  • Ogliastro, M. ;
  • Papaïx, J. ;
  • Parisey, N. ;
  • Poggi, S. ;
  • Radici, A. ;
  • Rasplus, J.-Y. ;
  • Reboud, X. ;
  • Robin, C. ;
  • Roche, M. ;
  • Rusch, A. ;
  • Sauvion, N. ;
  • Streito, J.-C. ;
  • Verdin, E. ;
  • Walker, A.-S. ;
  • Xuéreb, A. ;
  • Thébaud, G. ;
  • Morris, C. E.
1 Citation0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.26996991.v12024

Additional file 4 of Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence

Supplementary material 4: Table 2. Examples of event-based surveillance (EBS) systems to monitor and detect plant health threats and databases integrated into EBS systems.

Authors

  • Soubeyrand, S. ;
  • Estoup, A. ;
  • Cruaud, A. ;
  • Malembic-Maher, S. ;
  • Meynard, C. ;
  • Ravigné, V. ;
  • Barbier, M. ;
  • Barrès, B. ;
  • Berthier, K. ;
  • Boitard, S. ;
  • Dallot, S. ;
  • Gaba, S. ;
  • Grosdidier, M. ;
  • Hannachi, M. ;
  • Jacques, M.-A. ;
  • Leclerc, M. ;
  • Lucas, P. ;
  • Martinetti, D. ;
  • Mougel, C. ;
  • Robert, C. ;
  • Roques, A. ;
  • Rossi, J.-P. ;
  • Suffert, F. ;
  • Abad, P. ;
  • Auger-Rozenberg, M.-A. ;
  • Ay, J.-S. ;
  • Bardin, M. ;
  • Bernard, H. ;
  • Bohan, D. A. ;
  • Candresse, T. ;
  • Castagnone-Sereno, P. ;
  • Danchin, E. G. J. ;
  • Delmas, C. E. L. ;
  • Ezanno, P. ;
  • Fabre, F. ;
  • Facon, B. ;
  • Gabriel, E. ;
  • Gaudin, J. ;
  • Gauffre, B. ;
  • Gautier, M. ;
  • Guinat, C. ;
  • Lavigne, C. ;
  • Lemaire, O. ;
  • Martinez, C. ;
  • Michel, L. ;
  • Moury, B. ;
  • Nam, K. ;
  • Nédellec, C. ;
  • Ogliastro, M. ;
  • Papaïx, J. ;
  • Parisey, N. ;
  • Poggi, S. ;
  • Radici, A. ;
  • Rasplus, J.-Y. ;
  • Reboud, X. ;
  • Robin, C. ;
  • Roche, M. ;
  • Rusch, A. ;
  • Sauvion, N. ;
  • Streito, J.-C. ;
  • Verdin, E. ;
  • Walker, A.-S. ;
  • Xuéreb, A. ;
  • Thébaud, G. ;
  • Morris, C. E.
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.269969942024