Data collected with -or by- IRD partners, especially in southern countries and southern territories
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Aug 19, 2026 - New Caledonia (Nouvelle-Calédonie)
Genthon, Pierre; Tramier, Caroline; Delvienne, Quentin; Dumas, Pascal; Rouché, Nathalie; Wijesurya, Kavya; Cassan, Jean-Jérôme; Goue, Angeline, 2022, "HYDROTHIEM observatory (eastern tropical coast of New Caledonia, South West Pacific): water resource observation data, 2018-2023", https://doi.org/10.23708/BFWZDI, DataSuds, V3, UNF:6:qJrki9E4AhR1e4XBnjz0Bg== [fileUNF]
HydroThiem observatory, located in the humid eastern coast of New Caledonia is devoted the study of impact of invasive ungulate species and bushfires on the amount of water resource, erosion and water quality in a catchment used for drinking water. Data from this observatory can...
Tabular Data - 3.7 MB - 3 Variables, 141829 Observations - UNF:6:AaFtQK8iVKG8gQUeAXyOGg==
DataTime Series
Discharge at the CAPT watershed- March, 2021 to September 2023
Plain Text - 4.1 MB - MD5: 7c316fead68fa0ceae4aaaae0f4996dd
DataTime Series
Rainfall at REGEN plot from April 2021 to September 2023
Plain Text - 3.5 KB - MD5: c581d5caacca146af54c201923963e7b
Documentation
Dataset citation, description and file list
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,...
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
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
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 -...
Python Source Code - 4.2 KB - MD5: 45f1c783248e9cb6f1534dc4381240bc
Code
- Exports flag==1 subset (optional) - Useful for users wanting only Good data
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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