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 119 Results
industrial_zones_verified.gpkg
Sep 9, 2026 - Historical database of urban flooding in Ho Chi Minh City, Vietnam (2002–2026)
Unknown - 528.0 KB - MD5: 09f67b177d149a11fd07f8e9542e062f
Données
Layer "osm_IZ_v2" — 735 polygons, EPSG:4326 — verified industrial zones (source: OpenStreetMap, verified)
Event-scale rainfall microphysics and Z–R relationship dataset derived from OTT Parsivel² observations in Ho Chi Minh City, Vietnam (2022–2026)
Event-scale rainfall microphysics and Z–R relationship dataset derived from OTT Parsivel² observations in Ho Chi Minh City, Vietnam (2022–2026)
Jul 22, 2026 - LMI CARE : Hydro-meteorological data
Cazenave, Frederic; Nguyen Trung Tin; Phạm Thi Minh; Ho Tuan, Duc; Le, Cuong Van Anh; Collin Constance; Nguyen Clarisse; Le, Thi Minh Tam, 2026, "Event-scale rainfall microphysics and Z–R relationship dataset derived from OTT Parsivel² observations in Ho Chi Minh City, Vietnam (2022–2026)", https://doi.org/10.23708/UT4REO, DataSuds, V1
Since June 2022, the International Joint Laboratory CARE (Center for Asian Research on Water), hosted at Ho Chi Minh City University of Technology (HCMUT), has operated an OTT Parsivel2 disdrometer in Ho Chi Minh City, Vietnam. This dataset contains event-based rainfall and micro...
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
Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam
Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam
Mar 5, 2026 - Environmental data of Saigon River and Dong Nai River
Le, Thi-Minh-Tam; Nguyen, Truong An; Nguyen, Trung-Tin; Nguyen, Tuyet T.n.; Strady, Emilie; Gratiot, Nicolas; Baduel, Christine; Némery, Julien, 2026, "Ten years of biogeochemical monitoring in the highly urbanized tropical Saigon-Dong Nai River estuary (2015-2025), Vietnam", https://doi.org/10.23708/KMFNNY, DataSuds, V2, UNF:6:X1d17YeJuDGvEFYAzNpVCQ== [fileUNF]
This dataset comprises quality-controlled biogeochemical observations from the Saigon-Dong Nai River estuary collected over a 10-year period (July 2015 - July 2025). The monitoring program addresses a critical data gap in Southeast Asian tropical estuaries by providing sustained,...
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
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