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Jul 16, 2026 - LMI PathoBios
Billard, Estelle; Thomas, Emilie; Olalegbin, Abiodoun; Simonin, Julien; Tollenaere, Charlotte, 2026, "Phenotypic evaluation of Rice yellow mottle virus isolates from Burkina Faso in single and multiple infections context", https://doi.org/10.23708/EPS6SQ, DataSuds, V1, UNF:6:nib900xnc1FX77iEXeLmJw== [fileUNF]
In the aim to test the hypothesis that multiple infections, both within viral species (between viral lineages) and between the two pathogens (virus and bacteria), impact the structure of viral population and fitness proxies, we collected virus and bacteria infecting rice in Burki...
Tabular Data - 20.3 KB - 1 Variables, 360 Observations - UNF:6:OurjvCbhi14ADJtUye1jyA==
Données
Dataset for the experiment related to objective 1 _ single infections
Tabular Data - 22.4 KB - 1 Variables, 243 Observations - UNF:6:p2oiGK1RlFHy5k2gxR/2jw==
Données
Dataset for the experiment related to objective 2 _ competition between 2 RYMV isolates
Tabular Data - 56.8 KB - 1 Variables, 969 Observations - UNF:6:iuOGHah3OPHzWiRHP9LTjQ==
Données
Dataset for the experiment related to objective 3_ virus-bacteria co-infections
Tabular Data - 898 B - 1 Variables, 12 Observations - UNF:6:zCAks5x76iQZTK08nvXshw==
Documentation
Data dictionary for the experiment related to objective 1 _ single infections
Tabular Data - 836 B - 2 Variables, 13 Observations - UNF:6:I47dKFCzRquRW89HaDA9aQ==
Documentation
Data dictionary for the experiment related to objective 2 _ competition between 2 RYMV isolates
Tabular Data - 761 B - 1 Variables, 11 Observations - UNF:6:fD72DIDeNMxSIuGZ6MLqFg==
Documentation
Data dictionary for the experiment related to objective 3_ virus-bacteria co-infections
Adobe PDF - 633.2 KB - MD5: 24c43e0358a2e442f8fd89103ede6c14
Documentation
experimental methodology
Plain Text - 2.3 KB - MD5: cf58cdb3dd83c23262ab36943cf80643
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
Jul 9, 2026LMI CARE
This collection contains hydro-meteorological datasets acquired as part of the LMI CARE project. This collection forms an integral part of the LMI CARE dataset collection in the IRD’s DataSuds repository.
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