Metrics
128,224 Downloads
Contact Share
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

2,581 to 2,590 of 9,038 Results
Identification et caractérisation des gîtes larvaires d'Anopheles spp. dans la région de Korhogo, nord Côte d'Ivoire, 2016-2017
Identification et caractérisation des gîtes larvaires d'Anopheles spp. dans la région de Korhogo, nord Côte d'Ivoire, 2016-2017
Nov 16, 2023 - REACT Project
Zogo, Barnabas; A. Koffi, Alphonsine; P. Ahoua Alou, Ludovic; Koné, Aboubacar; Dosso, Youssouf; Coulibaly, Issa; Fournet, Florence; Dahounto, Amal; Kounbobr Dabiré, Roch; Baba-Moussa, Lamine; Moiroux, Nicolas; Pennetier, Cédric, 2020, "Identification et caractérisation des gîtes larvaires d'Anopheles spp. dans la région de Korhogo, nord Côte d'Ivoire, 2016-2017", https://doi.org/10.23708/5ODIWK, DataSuds, V2, UNF:6:l5nh3L/cArncQIiu+E3Tig== [fileUNF]
Données d’identification et de caractérisation des gîtes larvaires d’Anopheles spp. dans la région de Korhogo (nord Côte d'Ivoire) avant le déploiement de stratégies de lutte anti-vectorielle complémentaires à la moustiquaire imprégnée d'insecticide, dans le cadre du projet REACT...
SMM00894_20230510_223500.wav
Nov 15, 2023 - Measuring Amazon rainfall intensity with sound recorders: data and code
Waveform Audio - 5.5 MB - MD5: 23be00f5f7caf73a0d543757bb4ab0a8
Data
Audio recording without rainfall
SMM00894_20230510_224500.wav
Nov 15, 2023 - Measuring Amazon rainfall intensity with sound recorders: data and code
Waveform Audio - 5.5 MB - MD5: 8a2351b76dcb0145f24705596ab32665
Data
Light rainfall audio recording
SMM00894_20230510_225500.wav
Nov 15, 2023 - Measuring Amazon rainfall intensity with sound recorders: data and code
Waveform Audio - 5.5 MB - MD5: e49e81c21f772231bd7878dadd43f313
Data
Heavy rainfall audio recording
Lipid-correction models for δ13C values across small pelagic fishes (Clupeiformes) from the Atlantic Ocean (2020-2022): sample fish data
Nov 13, 2023 - UMR LEMAR
Sardenne, Fany; Raynon, Thomas; Munaron, Jean-Marie; van der Lingen, Carl David; Sadio, Oumar; Diop, Khady; Brosset, Pablo; Lebigre, Christophe; Soudant, Philippe; Vagner, Marie; Pecquerie, Laure, 2023, "Lipid-correction models for δ13C values across small pelagic fishes (Clupeiformes) from the Atlantic Ocean (2020-2022): sample fish data", https://doi.org/10.23708/URQ9IJ, DataSuds, V1, UNF:6:feuveottfQ3BOWHC/PBNUQ== [fileUNF]
This dataset compiles the data used in the paper "Lipid-correction models for δ13C values across small pelagic fishes (Clupeiformes) from the Atlantic Ocean”. This study aimed at defining the maximum taxonomic level required to obtain the best corrected δ13C values in small pelag...
data_dictionary.tab
Nov 13, 2023 - Lipid-correction models for δ13C values across small pelagic fishes (Clupeiformes) from the Atlantic Ocean (2020-2022): sample fish data
Tabular Data - 1.0 KB - 3 Variables, 16 Observations - UNF:6:2aBEhF0CVO3ctqUjqj1I1g==
Documentation
Data dictionary
lipid_correction_model_readme.txt
Nov 13, 2023 - Lipid-correction models for δ13C values across small pelagic fishes (Clupeiformes) from the Atlantic Ocean (2020-2022): sample fish data
Plain Text - 2.4 KB - MD5: 5b8d5eeee7bd608b9db694884b685ae6
Documentation
Dataset citation and description
lipid_correction_model.tab
Nov 13, 2023 - Lipid-correction models for δ13C values across small pelagic fishes (Clupeiformes) from the Atlantic Ocean (2020-2022): sample fish data
Tabular Data - 27.3 KB - 16 Variables, 149 Observations - UNF:6:X3Z6+IWSAgObE0X3C8ZmfQ==
DataGeospatial
A multidimensional dashboard dataset on tropical tuna fishing fleet in Atlantic and Indian Oceans
Nov 13, 2023 - UMR LEMAR
OUGIER, Sandra; BACH, Pascal; LE LOC'H, François; AUBIN, Joël; GASCUEL, Didier, 2023, "A multidimensional dashboard dataset on tropical tuna fishing fleet in Atlantic and Indian Oceans", https://doi.org/10.57745/Z0PH0Q, Recherche Data Gouv
This data includes indicators estimated in a multicriteria dashboard applied to assess sustainability of tropical tuna fisheries in Atlantic and Indian Oceans. The objective of this work was to test a multidimensional approach, accounting for the ecological, economic and social d...
This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
1_LULC_rasters.zip
Nov 10, 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
ZIP Archive - 31.0 MB - MD5: fb945ed249a4a749c0a18e0cf350f8c5
Data
LULC georeferenced rasters for the four districts
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.