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Plain Text - 57 B - MD5: 7d94fe787d5948d66b94598e65836668
Python Source Code - 3.3 KB - MD5: a6ba11cdc66e970252bbe35eba20efe0
R Syntax - 947 B - MD5: fbb59535691dd0dc47ec8f190674e4e1
Shell Script - 1.0 KB - MD5: a52ca15e3c8d29b76e4828439be17001
Python Source Code - 2.8 KB - MD5: c94ce2c9d8b8d36108bb1f1f41e19704
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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