UMR IGE

Institute of Environmental Geosciences

The research unit IGE is one of the main laboratories of the Observatory of Sciences of the Universe from Grenoble. The IGE conducts research on climate, the water cycle, the cryosphere, and natural and man-made environments. This research aims to better understand the processes that govern the functioning of different geophysical environments.

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21 to 30 of 95 Results

requirements.txt Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam Plain Text - 260 B - MD5: 6d468e3dd6f0e757aa9754a505ff4650 Documentation pip install -r requirements.txt
SDNR_timeseries_QC.tab Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam Tabular Data - 186.5 KB - 50 Variables, 894 Observations - UNF:6:0Bx8aFoTVeP8tRQGdLkuuQ== Données - Quality-controlled biweekly time series - Includes QC flags for all parameters - Output of 02_qc_flags.py - PRIMARY DATA FILE FOR USERS - File size: ~185 KB
SDNR_timeseries_standardized.tab Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam Tabular Data - 149.8 KB - 29 Variables, 894 Observations - UNF:6:UICCsS21y13bmjNxJ2tyqA== Données - Harmonized biweekly time series (2015-2025) - 894 observations, 4 stations (HA, PC, BD, BK) - Output of 01_load_standardize.py - No QC flags; raw measurements only - File size: ~147 KB
SDNR_transects_QC.tab Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam Tabular Data - 29.6 KB - 45 Variables, 162 Observations - UNF:6:aHx3OEqwNpLIg2Hn8NRtYg== Données - Quality-controlled transect data - Includes QC flags for all parameters - Output of 02_qc_flags.py - PRIMARY DATA FILE FOR USERS - File size: ~30 KB
SDNR_transects_standardized.tab Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam Tabular Data - 23.8 KB - 26 Variables, 162 Observations - UNF:6:ii2FAPWT4tpdMZPifowkaA== Données - Harmonized longitudinal transects (2017-2022) - 162 observations, 27 sites - Output of 01_load_standardize.py - No QC flags; raw measurements only - File size: ~24 KB
_shared.py Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam Python Source Code - 7.0 KB - MD5: 04013112f3454eff2ad5716365719c83 Code
station_metadata.tab Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam Tabular Data - 354 B - 3 Variables, 4 Observations - UNF:6:rd+suLd8zavZVSIsvgXulQ== Documentation - Spatial organization of sampling sites/stations - Site groupings: upstream (UP01-UP04), urban corridor (SG01-SG10), urban core (SG11-SG16), estuarine zone (SG17-SG23) - Fixed stations: HA, PC, BD, BK with characteristics
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 May 13, 2024 Rodrigues Do Amaral, Francisco; Camenen, Benoit; Nguyen, Trung Tin; Tran, Anh Tu; Pellarin, Thierry; Gratiot, Nicolas, 2024, "Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022", https://doi.org/10.23708/KLQMSR, DataSuds, V1, UNF:6:PGOnzXhvk15rYLhlrVTmig== [fileUNF] This dataset is the result of a publication that explores calibration strategies and operational implications of 1D hydrodynamic modeling using the Mage code in the Saigon-Dongnai system in Vietnam. Three calibration approaches for the Mage model are evaluated, and coupling with...
0_ReadMe.txt May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Plain Text - 1.5 KB - MD5: 252fed996aee97b36f7db50c9fc0fa83 Documentation Dataset citation, description and terms of use.
1_READ_ME.pdf May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Adobe PDF - 682.7 KB - MD5: d8b9a465fafc4a734295415b94a2809a Documentation Read me file with information about these model output data.

requirements.txt

Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam

Plain Text - 260 B -

Documentation

pip install -r requirements.txt

SDNR_timeseries_QC.tab

Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam

Tabular Data - 186.5 KB - 50 Variables, 894 Observations -

Données

- Quality-controlled biweekly time series - Includes QC flags for all parameters - Output of 02_qc_flags.py - **PRIMARY DATA FILE FOR USERS** - File size: ~185 KB

SDNR_timeseries_standardized.tab

Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam

Tabular Data - 149.8 KB - 29 Variables, 894 Observations -

Données

- Harmonized biweekly time series (2015-2025) - 894 observations, 4 stations (HA, PC, BD, BK) - Output of 01_load_standardize.py - No QC flags; raw measurements only - File size: ~147 KB

SDNR_transects_QC.tab

Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam

Tabular Data - 29.6 KB - 45 Variables, 162 Observations -

Données

- Quality-controlled transect data - Includes QC flags for all parameters - Output of 02_qc_flags.py - **PRIMARY DATA FILE FOR USERS** - File size: ~30 KB

SDNR_transects_standardized.tab

Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam

Tabular Data - 23.8 KB - 26 Variables, 162 Observations -

Données

- Harmonized longitudinal transects (2017-2022) - 162 observations, 27 sites - Output of 01_load_standardize.py - No QC flags; raw measurements only - File size: ~24 KB

_shared.py

Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam

Python Source Code - 7.0 KB -

Code

station_metadata.tab

Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam

Tabular Data - 354 B - 3 Variables, 4 Observations -

Documentation

- Spatial organization of sampling sites/stations - Site groupings: upstream (UP01-UP04), urban corridor (SG01-SG10), urban core (SG11-SG16), estuarine zone (SG17-SG23) - Fixed stations: HA, PC, BD, BK with characteristics

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

May 13, 2024

Rodrigues Do Amaral, Francisco; Camenen, Benoit; Nguyen, Trung Tin; Tran, Anh Tu; Pellarin, Thierry; Gratiot, Nicolas, 2024, "Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022", https://doi.org/10.23708/KLQMSR, DataSuds, V1, UNF:6:PGOnzXhvk15rYLhlrVTmig== [fileUNF]

This dataset is the result of a publication that explores calibration strategies and operational implications of 1D hydrodynamic modeling using the Mage code in the Saigon-Dongnai system in Vietnam. Three calibration approaches for the Mage model are evaluated, and coupling with...

0_ReadMe.txt

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

Plain Text - 1.5 KB -

Documentation

Dataset citation, description and terms of use.

1_READ_ME.pdf

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

Adobe PDF - 682.7 KB -

Documentation

Read me file with information about these model output data.

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