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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.

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          → Support utilisateurs : demander l'accès à une collection existante (laboratoire, équipe, projet) ou la création d'une nouvelle collection.    → Mode d'emploi
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4,061 to 4,070 of 8,784 Results
Jan 18, 2021 - Project ANR PI2P
Rebaudo, Francois; Sokame, Bonoukpoè Mawuko; Obonyo, Julius Ochieng; Calatayud, Paul-André, 2021, "Climatic dataset from ICIPE, Nairobi, Kenya, 2020", https://doi.org/10.23708/QPKHPJ, DataSuds, V1, UNF:6:fnmvpOg6uINFsxZ0j2Vpyw== [fileUNF]
This dataset corresponds to climate data for the year 2020 at ICIPE, Nairobi, Kenya. The data includes temperature, relative humidity, atmospheric pressure in three separate CSV files with approximately one measurement every minute. The first column indicates the date and time in...
Adobe PDF - 274.2 KB - MD5: 6752d39d9c6412cc68d31bae42d30d52
Documentation
simple graphical representations of the dataset performed with R 4.0.3.
JPEG Image - 32.2 KB - MD5: ee2d1ac52828e65eef5225813c408954
Documentation
cover image for the dataset
R Syntax - 6.0 KB - MD5: 4d156f3323ade9b5a80b88956bc9d0ef
Code
R script to read the data and to make graphical representations
Tabular Data - 11.4 MB - 2 Variables, 378678 Observations - UNF:6:OOZm3jTqBjW8L5xiiF9CvQ==
DataTime Series
temperature
Tabular Data - 12.3 MB - 2 Variables, 378666 Observations - UNF:6:lgs18vGSNuj+UOOx7mCCPw==
DataTime Series
relative humidity
Tabular Data - 12.2 MB - 2 Variables, 378666 Observations - UNF:6:33OfF2w818Rd5tg9pIBEcQ==
DataTime Series
atmospheric pressure
Jan 15, 2021 - UCMM
BERETTA, Valentina, 2019, "Instantiation example of the user centric metadata model", https://doi.org/10.23708/FXIYQL, DataSuds, V3
Example of instantiation of the user centric metadata model (UCMM). First, we describe a dataset containing in-situ biological observations related to yellowfin tuna catches, and remote sensing products of environmental parameters, i.e. the seasurface temperature (SST) and the ch...
Turtle RDF - 10.4 KB - MD5: a57f2ac7ceb022aa1476c6e58f22e0c1
turtle file which contains an example which instanciated the user centric model proposed
Jan 15, 2021 - Informal waste collection system
Nguyen, Thai Huyen; Le, Thi Thao Trang; Nguyen, Thai Hoa; Nguyen, Thi Hai Yen; Dinh, Ngoc Anh; Le, Viet Anh; Le, Tuan Minh; Phan, Cong Hung; Nguyen, Tien Tam; Nguyen, Thi Mo; Trinh, Dai Cuong; Nguyen, Thi Ngoc Thanh; Ninh, Thi Kim Anh; Tran, Thi Tam, 2021, "Informal waste collectors and aggregators space and activities in Nha Trang city, Vietnam, COMPOSE project (2019-2021)", https://doi.org/10.23708/JUKOFI, DataSuds, V1, UNF:6:/AB6O9cijEq/NwLrzOLSTA== [fileUNF]
The system of informal waste collectors and aggregators in Nha Trang city (Vietnam) was surveyed in the framework of the COMPOSE project (2019-2021). The social survey based on questionnaire was carried out in the entire area of in Nha Trang city, Khanh Hoa province, to identify...
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