Metrics
59 836 Downloads

Cirad Dataverse permet aux scientifiques du Cirad et à leurs partenaires de déposer, partager et/ou rendre publiques les données produites ou coproduites dans le cadre des travaux de recherche.

CIRAD Dataverse allows CIRAD's researchers and partners to store data produced or co-produced in the framework of collective research work or projects.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

321 to 330 of 6 748 Results
Shapefile as ZIP Archive - 109,1 KB - MD5: cad76066eed22fe0a6d94e4952d3de62
Data
Shapefile corresponding to the grid used to perform the PCA on the climate variables.
4 juil. 2024 - UPR Forêts et Sociétés
Rievrs Borges, Erica; Réjou-Méchain, Maxime; Gourlet-Fleury, Sylvie; Mortier, Frédéric; Bry, Xavier; Cornu, Guillaume; Baya, Fidèle; Allah-Barem, Félix; Pélissier, Raphaël, 2024, "Dataset for the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways"", https://doi.org/10.18167/DVN1/FBYOBP, CIRAD Dataverse, V1, UNF:6:fCPPhtZ/z7u+f2fQiyfKVg== [fileUNF]
Private dataset for reviewers of the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways" Variable names and descriptions Subplot: 20 x 20m subplots Year: Year of the data inventory (interval for produc...
Tabular Data - 197,3 KB - 11 Variables, 1250 Observations - UNF:6:fCPPhtZ/z7u+f2fQiyfKVg==
Data
Datathèque (archives) logo
4 juil. 2024UPR Forêts et Sociétés
Archivage des données historiques de l'UR dont les données de dispositifs, d'inventaires et d'essais sylvicoles. Datasets non publiables en l'état
4 juil. 2024 - Genetique_Innovation_Varietale
Grenier, Cecile; Bartholomé, Jérôme; Frouin, Julien, 2024, "Genomic prediction in upland rice for aluminum tolerance in Latin America", https://doi.org/10.18167/DVN1/HSIM8E, CIRAD Dataverse, V1, UNF:6:PIj0NVaZat5YRPPipI0HJg== [fileUNF]
This data set contains a phenotypic information collected on a population of 334 S0:4 families extracted from synthetic population managed through recurrent selection and phenotyped in Colombia in 2020. The traits were recorded in two soil conditions (ALU: the naturally aluminum...
Tabular Data - 44,3 KB - 7 Variables, 680 Observations - UNF:6:VeJGONx/u9PRGF1gUydOAw==
Adjusted means (BLUEs), for the 334 S0:4 families, considering days to flower (FL), plant height (PH), grain yield (YLD) and grain zinc concentration (ZN)
Plain Text - 6,5 MB - MD5: e8e7e9a1f61b00d26f4d5c43360a184c
genotypic data on the 334 S0 plants with 9928 SNP, after imputation.
Tabular Data - 15,8 KB - 3 Variables, 469 Observations - UNF:6:OUdZU0671/w1evSHWPINOg==
list of 334 families extracted form the recurrent population at the S0:4 generation including the temporal and local checks
Comma Separated Values - 107,4 KB - MD5: dc3ff60a19e36a35dfaa9e28ca7f8d3e
phenotypic data acquired on 334 S0:4 families extracted from a synthetic population under two environmental conditions (LIM and ALU) following a p-rep design. Missing data are coded as NA
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.