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Python Source Code - 10.2 KB - MD5: 0e4495fcb31a90e54ba2355fa854369d
Code
- INPUT: SDNR_*_QC.csv - Generate all manuscript figures
Python Source Code - 12.0 KB - MD5: 8d6c9d6fcc4f157728a0ae0bcc6d1a71
Code
- INPUT: SDNR_*_QC.csv - Generate all manuscript figures
Python Source Code - 18.2 KB - MD5: 2734be52bc574253299bb04c5d70b952
Code
- INPUT: SDNR_*_QC.csv - Generates statistical summary tables - Seasonal/spatial comparisons, trends
Python Source Code - 12.0 KB - MD5: ba958a27618548fec96b4f52191f994b
Code
- INPUT: SDNR_*_QC.csv - Generate all manuscript figures
Python Source Code - 14.2 KB - MD5: 5a962c7152ebdec8f0240f6ce60683e9
Code
- INPUT: SDNR_*_QC.csv - Generate all manuscript figures
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)
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