Automated Author ProfileTim Dumonceaux
Agriculture and Agri-Food Canada Saskatoon Research and Development Centre
Tim Dumonceaux
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplementary Tables for the Preprint entitled: Can leafhoppers help us trace the impact of climate change on agriculture? to be posted in bioRxiv. Table S1. Detailed information on the strawberry fields included in this study.Table S2. Detailed information on the weather stations used to retrieve temperature and precipitation data used in this study Table S3. Strawberry samples analyzed in this study with symptoms resembling strawberry green petal phytoplasma disease during both growing seasons studied here.Table S4. The geographic location of all the strawberry green petal phytoplasma disease cases reported to the provincial laboratory in expertise in diagnostic and phytopathology in the last decade.Table S5. Leafhopper species and the number of specimens per species analyzed by phytoplasma-specific PCR to detect the presence of the pathogen.Table S6. Detailed information on the leafhoppers incubated with strawberry plants during the phytoplasma transmission assays.Table S7. Detailed information on Macosteles quadrilineatus used to study the leafhopper microbiome.Table S8. Detailed information on the insecticides used by strawberry growers during both grow seasons included in the study and those treatments selected for further statistic analyses.Table S9. Identification and number of leafhopper species captured in strawberry fields in each geographic region screened in this study.Table S10. Detailed information of diversity indexes Shannon and Simpson calculated using the data collected in this study.Table S11. Fixed days and temperature values used during leafhopper populations modelling.Table S12. Detailed information on the taxonomy of the phytoplasma strain SbGPQ affecting strawberry plants in eastern Canada by hybridization and illumine sequencing and by PCR amplification, cloning and Sanger sequencing.Table S13. Detailed information on Macosteles quadrilineatus microbiome including OTUs, reads, and metadata information.Table S14. Detailed information on the core microbiome for Macosteles quadrilineatus captured during each growing season and in common for all the leafhoppers analyzed during this study.Table S15. BIC values for models selection.
Authors
- Nicolas Plante ;
- Jeanne Durivage ;
- Anne-Sophie Brochu ;
- Tim Dumonceaux ;
- Dagoberto Torres ;
- Brian Bahder ;
- Joel Kits ;
- Antoine Dionne ;
- Jean-Philippe Légaré ;
- Stéphanie Tellier ;
- Frédéric Mcune ;
- Charles Goulet ;
- Valérie Fournier ;
- Edel Pérez-López
Supplementary Tables for the Preprint entitled: Can leafhoppers help us trace the impact of climate change on agriculture? to be posted in bioRxiv. Table S1. Detailed information on the strawberry fields included in this study.Table S2. Detailed information on the weather stations used to retrieve temperature and precipitation data used in this study Table S3. Strawberry samples analyzed in this study with symptoms resembling strawberry green petal phytoplasma disease during both growing seasons studied here.Table S4. The geographic location of all the strawberry green petal phytoplasma disease cases reported to the provincial laboratory in expertise in diagnostic and phytopathology in the last decade.Table S5. Leafhopper species and the number of specimens per species analyzed by phytoplasma-specific PCR to detect the presence of the pathogen.Table S6. Detailed information on the leafhoppers incubated with strawberry plants during the phytoplasma transmission assays.Table S7. Detailed information on Macosteles quadrilineatus used to study the leafhopper microbiome.Table S8. Detailed information on the insecticides used by strawberry growers during both grow seasons included in the study and those treatments selected for further statistic analyses.Table S9. Identification and number of leafhopper species captured in strawberry fields in each geographic region screened in this study.Table S10. Detailed information of diversity indexes Shannon and Simpson calculated using the data collected in this study.Table S11. Fixed days and temperature values used during leafhopper populations modelling.Table S12. Detailed information on the taxonomy of the phytoplasma strain SbGPQ affecting strawberry plants in eastern Canada by hybridization and illumine sequencing and by PCR amplification, cloning and Sanger sequencing.Table S13. Detailed information on Macosteles quadrilineatus microbiome including OTUs, reads, and metadata information.Table S14. Detailed information on the core microbiome for Macosteles quadrilineatus captured during each growing season and in common for all the leafhoppers analyzed during this study.Table S15. BIC values for models selection.
Authors
- Nicolas Plante ;
- Jeanne Durivage ;
- Anne-Sophie Brochu ;
- Tim Dumonceaux ;
- Dagoberto Torres ;
- Brian Bahder ;
- Joel Kits ;
- Antoine Dionne ;
- Jean-Philippe Légaré ;
- Stéphanie Tellier ;
- Frédéric Mcune ;
- Charles Goulet ;
- Valérie Fournier ;
- Edel Pérez-López