The CARE (Centre of Asian Research on watEr), based on the campus of Ho Chi Minh University of Technology (HCMUT), Vietnam, develops fundamental and applied research on regional issues facing the Mekong Delta region.
Mission of CARE is to develop interdisciplinary research on water, environment and climate change and to build up cooperation among universities in the country and Southeast Asia with the partners of RESCIF. The operation of CARE is under open method. CARE is to support and develop advanced methods, inventions and patents to encourage new technologies and practice in interdisciplinary, comprehensive and sustainable orientation.

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11 to 20 of 114 Results
LMI CARE : Social data(IRD - Institut de Recherche pour le Développement)
Sep 9, 2026
This collection contains data compiled by the social science disciplines with the aim of supporting the cross-disciplinary nature of the analyses conducted by the members of the LMI CARE team. This collection forms an integral part of the LMI CARE dataset collection in the IRD’s...
data_dictionnary.txt
Jul 22, 2026 - Event-scale rainfall microphysics and Z–R relationship dataset derived from OTT Parsivel² observations in Ho Chi Minh City, Vietnam (2022–2026)
Plain Text - 10.0 KB - MD5: caca1e3d1e3df918532d6239e350c1c1
Documentation
data dictionary associated with the NetCDF data file
ReadMe_10_23708_UT4REO.txt
Jul 22, 2026 - Event-scale rainfall microphysics and Z–R relationship dataset derived from OTT Parsivel² observations in Ho Chi Minh City, Vietnam (2022–2026)
Plain Text - 1.5 KB - MD5: c5bc38dfa7d90e74725b4ec906a5a877
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
VIETNAM_CARE_CARE_20220617_20260613_Event_Summary.nc
Jul 22, 2026 - Event-scale rainfall microphysics and Z–R relationship dataset derived from OTT Parsivel² observations in Ho Chi Minh City, Vietnam (2022–2026)
Network Common Data Form - 227.6 KB - MD5: cd461b0ed1981d1412ac91bf2f497848
Données
data file in netcdf format
LMI CARE : Hydro-meteorological data(LMI CARE)
Jul 9, 2026
This collection contains hydro-meteorological datasets acquired as part of the LMI CARE project. This collection forms an integral part of the LMI CARE dataset collection in the IRD’s DataSuds repository.
ReadMe_10_23708_KMFNNY.txt
Mar 5, 2026 - Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam
Plain Text - 2.2 KB - MD5: 1e54bbda364c0e6e80a4390b7affbd55
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
01_analyze_grqa_global_bias.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 - 19.8 KB - MD5: 5efae69ee4bc4dea8bf4211e975225c1
Code
- Generate manuscript Figure 1 (global monitoring coverage map) - OUTPUT: grqa_coverage_and_bias.png, grqa_asia_subregions_stacked.png
02_qc_flags.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 - 15.4 KB - MD5: 7b6691de2a2138e42ab91ba31d80a9d9
Code
- INPUT: SDNR_*_standardized.csv (included in ../data/) - Applies quality control rules (outlier detection, range checks) - Enforces stoichiometric constraints (TN ≥ DIN, TP ≥ PO4) - Assigns 5-tier QC flags (1=Good → 5=Rejected) - Generates flag_overall column -...
03_export_good.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 - 4.2 KB - MD5: 45f1c783248e9cb6f1534dc4381240bc
Code
- Exports flag==1 subset (optional) - Useful for users wanting only Good data
03_tables.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 - 9.9 KB - MD5: ea086b59b899ff44382454ff1b7ce85c
Code
- INPUT: SDNR_*_QC.csv - Generates gap audit tables - Creates data completeness summary - OUTPUT: gap_audit_*.csv, data_completeness_summary.csv
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