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L’entrepôt de données DataSuds propose aux scientifiques de l’IRD et à leurs partenaires un service pour préserver, diffuser et valoriser leurs données de recherche en facilitant leur identification, leur référencement et leur citation. En tant que plateforme de publication de données, il constitue l'un des éléments du dispositif de la Science Ouverte pour le Sud que promeut l’IRD.

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1,101 to 1,110 of 9,238 Results
RiceGraph_MGC.gfa
Mar 18, 2025 - Data used for the analysis described in GrAnnoT paper
Unknown - 4.1 GB - MD5: 17cccb331973224bd4073066369cf1f2
Data
Asian rice pangenome graph built with the Nipponbare genome from the paper from 2020 by Zhou, Y., Chebotarov, D., Kudrna, D. et al., "A platinum standard pan-genome resource that represents the population structure of Asian rice" (doi:10.1038/s41597-020-0438-2), and 12 other gen...
RiceGraph_MGC_paths.gfa
Mar 18, 2025 - Data used for the analysis described in GrAnnoT paper
Unknown - 4.3 GB - MD5: f541072bfc36b01c4bb1609192c272b9
Data
Pangenome graph adapted from the file "RiceGraph_MGC.gfa" by converting the walks into paths.
RiceGraph_MGC_refOs127652RS1.gfa
Mar 18, 2025 - Data used for the analysis described in GrAnnoT paper
Unknown - 4.6 GB - MD5: e58d668a5ea6a6a2f2c8033032adcfb4
Data
Pangenome graph built with the same data as the file "RiceGraph_MGC.gfa", but with a different genome used as reference (Os127652RS1).
RiceGraph_MGC_paths.xg
Mar 18, 2025 - Output from the analysis described in GrAnnoT paper
Unknown - 4.3 GB - MD5: 3ac4d2629fafbc7ffa77ef106d417e84
Data
Rice pangenome graph with paths converted in .xg format by VG.
Large variability of soil microbial diversity and functions in an over 20-year old Eucalyptus grandis plantation
Mar 12, 2025 - UMR Eco&Sols
Robin, Agnès; Brondani, Margot; Marchal, Julie; Pablo, Anne-Laure; Personne, Aline; Desmarais, Erick; Cerqueira, Frédérique; Mahé, Frédéric; Degrune, Florine; Guillemot, Joannès; Brancalion, Pedro H.S.; Fromin, Nathalie, 2025, "Large variability of soil microbial diversity and functions in an over 20-year old Eucalyptus grandis plantation", https://doi.org/10.18167/DVN1/QN22CM, CIRAD Dataverse
These data were collected as part of the DIVTROP project (What biological mechanisms link biodiversity to tropical forest functioning? A tree experiment in Brazil) funded by the Labex Cemeb, in the MataDIV experiment area (just before the planting). The spatial heterogeneity in s...
This dataset is harvested from another repository. The link will take you directly to the source of the data.
Corn pest and climate monitoring dataset from Msambweni, Kwale, Kenya, 2022-2024
Mar 12, 2025 - Project ANR PI2P
Rebaudo, Francois; Calatayud, Paul-André; Elesani, Beatrice; Vilio, Hassan Hamisi, 2025, "Corn pest and climate monitoring dataset from Msambweni, Kwale, Kenya, 2022-2024", https://doi.org/10.23708/SM7CWG, DataSuds, V1, UNF:6:1jml9hUmozbtFxEm4WmMqg== [fileUNF]
This dataset corresponds to climate data and maize pests monitoring of Busseola fusca, Chilo partellus, and Spodoptera frugiperda between 2022 and 2024 at Msambweni (Kwale), Kenya (4°20’38”S, 39°29’21”E, altitude 20 masl). Trapping data include site name, survey date, species, nu...
bdd_kenya_muhaka_bf.tab
Mar 12, 2025 - Corn pest and climate monitoring dataset from Msambweni, Kwale, Kenya, 2022-2024
Tabular Data - 43.8 KB - 6 Variables, 750 Observations - UNF:6:6q4RBIBtZBMk+mSm0G+pdQ==
Busseola fusca
bdd_kenya_muhaka_cp.tab
Mar 12, 2025 - Corn pest and climate monitoring dataset from Msambweni, Kwale, Kenya, 2022-2024
Tabular Data - 37.8 KB - 6 Variables, 754 Observations - UNF:6:op+L0bOk3bXmmCO48nR+DA==
Chilo partellus
bdd_kenya_muhaka_field_climate.tab
Mar 12, 2025 - Corn pest and climate monitoring dataset from Msambweni, Kwale, Kenya, 2022-2024
Tabular Data - 1.1 MB - 4 Variables, 31280 Observations - UNF:6:KlyW5Wvl3qOwlZdO/35iSQ==
climate from trap location
bdd_kenya_muhaka_lab_climate.tab
Mar 12, 2025 - Corn pest and climate monitoring dataset from Msambweni, Kwale, Kenya, 2022-2024
Tabular Data - 908.0 KB - 4 Variables, 24822 Observations - UNF:6:RTFP6TzONvMwaBQlik4WHg==
climate building
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