Automated Author ProfileBarroso Bergada, Didac
INRAE0000-0002-4887-9814
Barroso Bergada, Didac
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: 26.0 (sum of 28 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Grapevine downy mildew (Plasmopara viticola) is a major disease of European cultivated grapevine (Vitis vinifera L.) against which a large amount of synthetic pesticides are used. Developing microbial biocontrol of P. viticola could reduce the use of pesticides in viticulture and preserve human and environmental health. To achieve this goal, it is necessary to better understand the interactions between P. viticola and the vine foliar microbiome. Here we present metabarcoding datasets describing the bacterial and fungal communities from more than 500 leaf samples collected during powdery mildew epidemics in three major wine-producing regions in France. The microbiome of both healthy tissues and disease lesions was characterized. P. viticola abundance was quantified using qPCR. We provide the raw metabarcoding datasets, the Amplicon Sequence Variant (ASV) tables obtained after bioinformatic processing, the metadata describing sampling sites and tissue health condition and the code used for bioinformatic and descriptive statistical analysis.
Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne
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Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne
:unav
Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne
:unav
Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne
:unav
Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne
:unav
Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne
:unav
Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne
:unav
Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne
:unav
Authors
- Barroso Bergada, Didac ;
- Vacher, Corinne