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

4,051 to 4,060 of 7,888 Results
COMPOSE_IWC_data_dictionary_Da_Nang.txt
Nov 23, 2020 - Informal waste collectors and aggregators space and activities in Da Nang city, Vietnam, COMPOSE project (2019-2021)
Plain Text - 7.9 KB - MD5: 8f566fc6e7fdfd00b78c54ba57009fe5
Documentation
Aggregated data dictionary
COMPOSE_IWC_data_dictionary_src_data_Da_Nang.txt
Nov 23, 2020 - Informal waste collectors and aggregators space and activities in Da Nang city, Vietnam, COMPOSE project (2019-2021)
Plain Text - 7.7 KB - MD5: 973e609a5c2e8103e2bae7a93a6699f6
Documentation
Source data dictionary (before data aggregation process), for information
Equipe DIAL(Université Paris Dauphine, IRD, CNRS)
Equipe DIAL logo
Nov 17, 2020UMR LEDa
Développement, Institutions et Mondialisation DIAL est une équipe de l’UMR 260 LEDa qui réunit des enseignants de l’université Paris-Dauphine et des chercheurs de l’IRD et du CNRS. Cette équipe compte 22 enseignants chercheurs de Paris-Dauphine, 11 chercheurs de l’IRD et 1 cherch...
ADHI_LogoAdhi.PNG
ADHI_LogoAdhi.PNG
Nov 17, 2020 - ADHI: African Database of Hydrometric Indices
PNG Image - 333.4 KB - MD5: 4a8d3a73c41c171dd12f2a68906990cd
Documentation
Logo
UMR LEDa(Université Paris Dauphine, IRD, CNRS)
UMR LEDa logo
Nov 16, 2020
Laboratoire d’Economie de Dauphine Le LEDa est une unité de recherche créée en 2009. Il regroupe l’ensemble des enseignants-chercheurs économistes de l’Université Paris Dauphine ainsi que des chercheurs IRD et CNRS. Ses recherches orientées dans le sens de l’aide à la décision co...
Appendix3.zip
Nov 16, 2020 - Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers
Shapefile as ZIP Archive - 3.4 MB - MD5: a76296d380a5451781c19b068a18b8e4
WheatMoroccoTREMA_Database_F1.tab
Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)
Tabular Data - 75.8 KB - 52 Variables, 670 Observations - UNF:6:sY/RDkKaHSLUupG6ZqcvTQ==
Data
The whole set of measurements (in situ soil and vegetation variables, satellite data and irrigation) on the first wheat plot
WheatMoroccoTREMA_Database_F2.tab
Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)
Tabular Data - 32.5 KB - 48 Variables, 123 Observations - UNF:6:L0FNbk/WO5BD4mCnMZeoXQ==
Data
The whole set of measurements (in situ soil and vegetation variables, satellite data and irrigation) on the second wheat plot
WheatMoroccoTREMA_Database_F3.tab
Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)
Tabular Data - 9.2 KB - 53 Variables, 33 Observations - UNF:6:rQfOL+0UcDgArbocMAzc6w==
Data
The whole set of measurements (in situ soil and vegetation variables, satellite data) on the third wheat plot
WheatMoroccoTREMA_Meteorological_Data.tab
Nov 12, 2020 - C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)
Tabular Data - 4.9 MB - 8 Variables, 47451 Observations - UNF:6:aSpRftpm8st1Q1Lb1WSVvQ==
Data
Half-hourly meteorological data collected during the period from October 2016 to June 2019
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.