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Metadata Source: DataSuds

2,191 to 2,200 of 8,381 Results

Dongnai_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 - 11.8 MB - 34 Variables, 57552 Observations - UNF:6:j5T6Ivu3XFH4wvqUf/zWJA== DataTime Series Water level output [m] for the Dongnai River from MAGE-Q.
Saigon_discharge_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 - 33.5 MB - 72 Variables, 57552 Observations - UNF:6:Iu7S0rjiaLUqbLPBa9msow== DataTime Series Water discharge output [m^3/s] for the Saigon River from MAGE-HQ.
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...

Dongnai_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 - 11.8 MB - 34 Variables, 57552 Observations -

DataTime Series

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

Saigon_discharge_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 - 33.5 MB - 72 Variables, 57552 Observations -

DataTime Series

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

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...

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