Metrics
148,025 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

2,541 to 2,550 of 9,496 Results
May 24, 2024 - UMR MIVEGEC
Kouassi, Arsène Adou; Taconet, Paul; Koné, Aboubacar; Koffi, Laurent Niamien; Catry, Thibault; Marti, Renaud; Dessay, Nadine; Delaitre, Eric; Fournet, Florence, 2023, "Land use land cover ultra-high-spatial-resolution digital maps (5-cm) for 4 urban districts of the city of Bouaké (Air France, Belleville, Koko, Sossoribougou), center Côte d'Ivoire, 2020", https://doi.org/10.23708/PUYNSG, DataSuds, V3, UNF:6:dyGQe7mTss4FO+8xYhWzng== [fileUNF]
This dataset provides ultra-high-spatial-resolution Land Use / Land Cover (LULC) digital maps of 4 urban districts of Bouaké, a city located in center Côte d’Ivoire (Ivory Coast). They were produced using images acquired by Unmanned Aerial Vehicles (UAVs) in 2020 at a spatial res...
May 21, 2024 - UMR GET
Xavier, Rodrigo; Fleischmann, Ayan; Gosset, Marielle; Maciel, Tarcísio; Do Nascimento, Leandro; Ramalho, Emiliano; Bicudo, Thiago, 2023, "Measuring Amazon rainfall intensity with sound recorders: data and code", https://doi.org/10.23708/I0QYNM, DataSuds, V2, UNF:6:cXAvk8vWVI++coJPWKSnaA== [fileUNF]
Many regions still lack a network of ground weather observations, hampering effective climate monitoring and disaster management. In the Amazon basin, this occurs due to its remoteness and the challenging measurement of rainfall within the forest. Innovative rainfall estimation m...
Tabular Data - 15.9 MB - 517 Variables, 3027 Observations - UNF:6:am6cSO1jVKdN5mqReymvHA==
Data
Test dataset
Tabular Data - 32.4 MB - 517 Variables, 6308 Observations - UNF:6:IL4rv/Alts6mLKH6QrEMRA==
Data
Test dataset
Tabular Data - 363.7 MB - 516 Variables, 48208 Observations - UNF:6:jTD/itqKxc5wvbFtqhf0Gg==
Data
Data used for training the models
Adobe PDF - 28.2 KB - MD5: 5a4a82a66d96b19d45701029d0e15e8a
Documentation
Dataset citation, description and terms of use
Jupyter Notebook - 270.6 KB - MD5: 85a560f15d345d32ff0f0ec57edebb50
Code
Jupyter Notebook
May 16, 2024 - DYNADIV Team
Barnaud, Adeline; Veltman, Margaretha; Kaczmarek, Thomas; Argout, Xavier; Vigouroux, Yves; Berthouly-Salazar, Cecile; Billot, Claire, 2024, "High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)", https://doi.org/10.23708/ETC16I, DataSuds, V1, UNF:6:ON0wb/ZYjxl4qqjnr8NEPA== [fileUNF]
Marginal land is land that is of little agricultural value because crops produced there would be worth less than any rent paid for access to the area. Helping to develop such zones in Africa is a key goal for the EU-funded EWA-BELT project. The aim is to promote the sustainable i...
Plain Text - 2.1 KB - MD5: 0ad59fd46069aaec2008347fc45ec2ce
Documentation
Dataset citation, description and terms of use.
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.