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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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2,251 to 2,260 of 9,175 Results
THES_2016_Ind_Questionnaire_AR.pdf
Mar 15, 2024 - Health state of the tunisian population evaluated by the Tunisian Health Examination Survey (THES-2016): data and documentations
Adobe PDF - 2.0 MB - MD5: 1f61bcc367b4f7858a187079a5f4eb3e
Documentation
Individual questionnaire of THES-2016 Survey, Arabic version
THES_2016_Ind_Questionnaire_EN.pdf
Mar 15, 2024 - Health state of the tunisian population evaluated by the Tunisian Health Examination Survey (THES-2016): data and documentations
Adobe PDF - 1.3 MB - MD5: bce79b2c1d9256554563be8358672d34
Documentation
Individual questionnaire of THES-2016 Survey, English version
THES_2016_Investigator Guide_AR.pdf
Mar 15, 2024 - Health state of the tunisian population evaluated by the Tunisian Health Examination Survey (THES-2016): data and documentations
Adobe PDF - 2.8 MB - MD5: 7e112aaf1aa8c015f449a1cd3fc3fd7b
Documentation
Investigator guide of the Tunisian Health Examination Survey-2016, Arabic Version
THES_2016_Protocole_FR.pdf
THES_2016_Protocole_FR.pdf
Mar 15, 2024 - Health state of the tunisian population evaluated by the Tunisian Health Examination Survey (THES-2016): data and documentations
Adobe PDF - 902.1 KB - MD5: f69cec26bf5cbe43ce25fad11ebdba71
Documentation
Protocol of the Tunisian Health Examination Survey-2016, French version
1_LiDAR-based_biomass_maps_ReadMe.txt
Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Plain Text - 1.8 KB - MD5: 79b5092ff6242023e465f6fb56abfda6
Documentation
Data citation and description ReadMe file
Site-level_Binned_covariance_matrices_18Dec23.xlsx
Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
MS Excel Spreadsheet - 53.1 KB - MD5: b1f921a17a19e3f1ee7eef77c0adff45
DataDocumentation
Site-level-Variance-Covariance-Matrices-and-Parameter-Summary_18Dec23.tab
Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Tabular Data - 1.6 KB - 13 Variables, 19 Observations - UNF:6:pUYwyUIpsRWmCnpBju2KxQ==
DataDocumentation
Shallow lakes in West Africa: height-area relationships derived from remote sensing (2018-2023)
Shallow lakes in West Africa: height-area relationships derived from remote sensing (2018-2023)
Feb 29, 2024 - UMR GET
Girard, Félix; Grippa, Manuela; Kergoat, Laurent; Nikiema, Hedwige; Wubda, Maxime; Yonaba, Roland; Fowé, Tazen; Abdourhamane Touré, Amadou; Mainassara, Ibrahim; De Fleury, Mathilde, 2024, "Shallow lakes in West Africa: height-area relationships derived from remote sensing (2018-2023)", https://doi.org/10.23708/CRZE9K, DataSuds, V1, UNF:6:FKg53StFN6/u24Mc/S3XFw== [fileUNF]
In West Africa, lakes and reservoirs play a vital role as they are critical resources for drinking water, livestock, irrigation and fisheries. Given the scarcity of in situ data, satellite remote sensing is an important tool for monitoring lake volume changes in this region. Seve...
hypsometry_data_girard2024_README.txt
Feb 29, 2024 - Shallow lakes in West Africa: height-area relationships derived from remote sensing (2018-2023)
Plain Text - 1.9 KB - MD5: 2f918b3451c1af6032895fb3f43cd520
Documentation
Dataset description
hypsometry_data_girard2024.tab
Feb 29, 2024 - Shallow lakes in West Africa: height-area relationships derived from remote sensing (2018-2023)
Tabular Data - 382.5 KB - 7 Variables, 3759 Observations - UNF:6:FKg53StFN6/u24Mc/S3XFw==
Data
Remote sensing-derived height-area-volume relationships (CSV format)
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