Metrics
158,870 Downloads
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.

 Comment publier un jeu de données (dataset) dans DataSuds ?
          → Support utilisateurs : demander l'accès à une collection existante (laboratoire, équipe, projet) ou la création d'une nouvelle collection.    → Mode d'emploi
Featured Dataverses

In order to use this feature you must have at least one published or linked 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

1 to 10 of 8,343 Results
MS Word - 13.3 KB - MD5: 811d12291e970dd83e42dde7b22b7a00
Documentation
Form for requesting access to restricted data. This form must be downloaded, completed, signed and sent to the contact point for this dataset and to data@ird.fr for any request for access to restricted data as described in the terms of use.
Gzip Archive - 1.3 MB - MD5: 05f79c3754ecdb187aa28d5caf9cc54f
CodeDocumentation
Compressed archive of the GitHub which provides all the bioinformatic details of the scripts used to generate the genome and its annotation. The original is available here: https://github.com/mikafontaine/malaria_HaemoproteusWW2.
Plain Text - 2.6 KB - MD5: 8dc0b5a6fe090c38c1feb4183cd0149d
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
Gzip Archive - 6.3 MB - MD5: 538f59792015594f54fffeabac1bafd7
Données
Original genome assembly for Haemoproteus majoris (lineage WW2). The genome was assembled using Nanopore long-read sequencing and polished with Illumina short-reads, yielding 145 contigs with a total assembly size of 23.9Mb and a G+C content of 27.85%. More details are provided i...
Gzip Archive - 749.1 KB - MD5: 3f41fe888c5a06d338be77d8245db71e
Données
Genome annotations associated with the WW2 reference assembly. The genome annotation was generated using the tool Companion (v2.2.11, Release 63) (Haese-Hill W, Crouch K, Otto TD. 2024, https://doi.org/10.1093/nar/gkae378). More details are provided in the manuscript and the asso...
Jul 31, 2026 - rice data
Plain Text - 5.3 KB - MD5: d3a81e546e568a11a4f6aa03daaa4acc
Jul 31, 2026 - rice data
Unknown - 4.0 KB - MD5: 0aa61d10efc196c80bdf23e796c3e55b
Jul 31, 2026 - rice data
Unknown - 4.0 KB - MD5: b79fec55ed4374ce3e13af6e3bbbb6b4
Jul 31, 2026 - rice data
Unknown - 4.0 KB - MD5: cfacb8faf4599bdb404faab761d68dc6
Jul 31, 2026 - rice data
Unknown - 4.0 KB - MD5: ee6d588d044262d274e09bf0ba5b554b
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.