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Publication Year: 2024

681 to 690 of 939 Results

Saigon_discharge_MAGE-H.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 32.7 MB - 72 Variables, 57552 Observations - UNF:6:43+YNgykvWwikiJracPKoQ== DataTime Series Water discharge output [m^3/s] for the Saigon River from MAGE-H.
Saigon_discharge_MAGE-Q.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 34.0 MB - 72 Variables, 57552 Observations - UNF:6:EFAqBqNGNSXdAyNiRIs8gg== DataTime Series Water discharge output [m^3/s] for the Saigon River from MAGE-Q.
Saigon_discharge_MS-MAGE-HQ.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 7.2 MB - 7 Variables, 57551 Observations - UNF:6:q+YVHgaDrIoTUyZPdHRfZw== DataTime Series Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-HQ.
Saigon_discharge_MS-MAGE-H.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 7.2 MB - 7 Variables, 57551 Observations - UNF:6:ew3NLrYuV1j0g6EWdefTJQ== DataTime Series Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-H.
Saigon_waterlevel_MAGE-HQ.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:LTusVBtgq37fioxTtBLGhg== DataTime Series Water level output [m] for the Saigon River from MAGE-HQ.
Saigon_waterlevel_MAGE-H.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:VT20e9YPZehaB5jxvgDzrw== DataTime Series Water level output [m] for the Saigon River from MAGE-H.
Saigon_waterlevel_MAGE-Q.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 24.4 MB - 73 Variables, 57552 Observations - UNF:6:NWdIiyKFgQqpWHvIbkgACw== DataTime Series Water level output [m] for the Saigon River from MAGE-Q.
Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024) May 3, 2024 - UMI TransVIHMI Taverne, Bernard; Laborde-Balen, Gabrièle; Sow, Khoudia; Ciaffi, Laura; Essi, Marie-José; Socpa, Antoine, 2024, "Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024)", https://doi.org/10.23708/B09IQS, DataSuds, V1 Le vieillissement de la population est un phénomène qui se développe au plan mondial mais aussi en Afrique sub-saharienne. Il s’accompagne de l’apparition de maladies non transmissibles qui deviennent l’un des problèmes majeurs de santé publique. Grâce à l’efficacité des traiteme...
0_Readme.txt May 3, 2024 - Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024) Plain Text - 4.6 KB - MD5: d9400e4ea941e247806e7cf34152f15e Documentation Fichier "Readme" - titre, description et conditions d'utilisations des données et documentations
PAVVIH_Avis_Ethique_GA_Cameroun.pdf May 3, 2024 - Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024) Adobe PDF - 199.2 KB - MD5: 9f1162ef6fb6517e5d07cdc8f3222751 Documentation Avis éthique Cameroun

Saigon_discharge_MAGE-H.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 32.7 MB - 72 Variables, 57552 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MAGE-H.

Saigon_discharge_MAGE-Q.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 34.0 MB - 72 Variables, 57552 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MAGE-Q.

Saigon_discharge_MS-MAGE-HQ.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 7.2 MB - 7 Variables, 57551 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-HQ.

Saigon_discharge_MS-MAGE-H.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 7.2 MB - 7 Variables, 57551 Observations -

DataTime Series

Water discharge output [m^3/s] for the Saigon River from MS<-MAGE-H.

Saigon_waterlevel_MAGE-HQ.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 24.4 MB - 73 Variables, 57552 Observations -

DataTime Series

Water level output [m] for the Saigon River from MAGE-HQ.

Saigon_waterlevel_MAGE-H.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 24.4 MB - 73 Variables, 57552 Observations -

DataTime Series

Water level output [m] for the Saigon River from MAGE-H.

Saigon_waterlevel_MAGE-Q.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Tabular Data - 24.4 MB - 73 Variables, 57552 Observations -

DataTime Series

Water level output [m] for the Saigon River from MAGE-Q.

Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024)

May 3, 2024 - UMI TransVIHMI

Taverne, Bernard; Laborde-Balen, Gabrièle; Sow, Khoudia; Ciaffi, Laura; Essi, Marie-José; Socpa, Antoine, 2024, "Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024)", https://doi.org/10.23708/B09IQS, DataSuds, V1

Le vieillissement de la population est un phénomène qui se développe au plan mondial mais aussi en Afrique sub-saharienne. Il s’accompagne de l’apparition de maladies non transmissibles qui deviennent l’un des problèmes majeurs de santé publique. Grâce à l’efficacité des traiteme...

0_Readme.txt

May 3, 2024 - Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024)

Plain Text - 4.6 KB -

Documentation

Fichier "Readme" - titre, description et conditions d'utilisations des données et documentations

PAVVIH_Avis_Ethique_GA_Cameroun.pdf

May 3, 2024 - Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024)

Adobe PDF - 199.2 KB -

Documentation

Avis éthique Cameroun

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