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11 to 20 of 798 Results
Python Source Code - 4.0 KB - MD5: 01c28b8d5da6289f6335bb35e3623894
Code
- INPUT: SDNR_*_QC.csv - Generate all manuscript figures
Tabular Data - 3.0 KB - 12 Variables, 38 Observations - UNF:6:onDGZoY+PrKJQcHdFX+ajw==
Documentation
- Overall completeness by parameter and dataset (timeseries vs transects) - Flag distribution percentages (% Good, % Suspect, % <MDL, % Missing) - Notes on systematic gaps (e.g., "Alkalinity starts 2020") - Essential for understanding data availability patterns
Tabular Data - 5.9 KB - 9 Variables, 51 Observations - UNF:6:MhMQwSph3CRZUcWMqnrCTw==
Documentation
- Complete column definitions for both data files - Units, data types, analytical methods, MDLs - QC flag definitions for each parameter - Essential reference for data interpretation
Tabular Data - 14.0 KB - 3 Variables, 263 Observations - UNF:6:hoGdqZPog/zHXR4HXzd+Nw==
Documentation
- Parameter-specific missing data incidents (~200 documented events) - Date, station, parameter, and technical reason for each gap - Examples: instrument malfunction, sample contamination, analysis failure - Time span: 2015-2025
Tabular Data - 1.6 KB - 3 Variables, 28 Observations - UNF:6:FxsY5kX8SouYaOcYOdpz5A==
Documentation
- Complete sampling event failures (~30 documented events) - Dates when entire station(s) were not sampled - Reasons: lost samples, logistical failure, COVID-19 restrictions - Includes COVID-19 gap (March-June 2020, 8 campaigns)
Plain Text - 3.0 KB - MD5: b18fdfeb8e4b5cb4cc54a93b3b917b00
Documentation
This directory contains Python scripts for data QC, analysis, and visualization supporting the SDNR biogeochemical dataset (2015-2025).
Plain Text - 3.5 KB - MD5: f54f7ea953301b5a4b14891f9e750ae8
Documentation
This directory contains both standardized input data and quality-controlled final products from the SDNR biogeochemical monitoring program.
Plain Text - 2.3 KB - MD5: 9d7903ee6af224b1a6ac5c91382f6e35
Documentation
This directory contains documentation and supporting information for the SDNR biogeochemical dataset.
Plain Text - 7.4 KB - MD5: 1a51b70055abea9c0e273ee61a8c6c04
Documentation
Master overview of the folder structure and files. This archive contains quality-controlled biogeochemical observations from the Saigon-Dong Nai River estuary collected from July 2015 to July 2025.
Plain Text - 260 B - MD5: 6d468e3dd6f0e757aa9754a505ff4650
Documentation
pip install -r requirements.txt
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