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Data for: Exploring online sensor parameters as proxies for polar organic chemicals – An innovative approach for combined sewer overflow monitoring
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Swiss Federal Institute of Aquatic Science and Technology (Eawag) - view all
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Last updated3 weeks ago
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Overview

This dataset package includes Python scripts, outputs (figures, model results), and associated documentation used in the publication "Exploring online sensor parameters as proxies for polar organic chemicals – An innovative approach for combined sewer overflow monitoring." The raw data utilized for these analyses is sourced from https://doi.org/10.25678/000D3C and https://doi.org/10.25678/000DNY. This package provides all necessary resources to reproduce the results presented in the study.

LC-MSautomated samplingbiocidescombine sewer overflowcorrelationlinear regression modelsorganic micropollutantspersonal care productspesticidespharmaceuticalsplant protection productsproxiessensorsspectral absorption coefficient at 254 nmstormwatertire wear leachteswastewater characteristics
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KeyValue
Harvest Object Id2a131ed8-6836-4b05-b8a0-81ba6377ec20
Harvest Source Idd0230d8d-fb2c-4caf-94e8-8ad52bd38ad9
Harvest Source TitleThe Eawag Research Data Institutional Repository
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