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Data · dataset · 2022

Escherichia coli concentrations and physico-chemical measurements (2011) along a cross-sectional profile of the Nam Khan river, Mekong river basin, northern Lao PDR

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Description

This dataset has been collected thanks to the long-term partnership with the National Agriculture and Forestry Research Institute (NAFRI) and the Department of Agricultural Land Management (DALaM), Lao PDR, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the Multiscale TROPIcal CatchmentS (SNO M-TROPICS; mtropics.obs-mip.fr/) critical zone observatory (previously MSEC).

This .csv dataset includes Escherichia coli concentrations (MPN 100 mL-1), and physico-chemical measurements in stream water. Physico-chemical measurements include temperature (°C), electrical conductance (µS cm-1) at 25 °C, dissolved oxygen concentration (mg L-1) and saturation (%), pH (-), oxidation-reduction potential (mV), and turbidity (NTU). The variables were measured at station Ban Mout/NK20 (coordinates: 19.786, 102.183) on the Nam Khan river, a tributary of the Mekong river in northern Lao PDR, along the cross-sectional profile of the river.

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Water samples were collected on June 3, 2011, at a distance of 0.5, 15, 30, 45 and 68 m away from the left bank, and at a depth of 0.5, 1, and 2 m from the water surface. The authors acknowledge the financial support of the Institut de Recherche pour le Développement (IRD) and the GIS-Climat (Pastek program, gisclimat.fr/en/project/pastek.html).

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Catalogue records · 1

Topics

Inferred from text
Pollution and contamination 69%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
DataSudsdoi:10.23708/RNY0LD13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4105enrichment · dataverse ird frtaxonomy-embedding@1.1.0title+keywords+description (69%)
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concepts[field].dataverse_subject:earth-and-environmental-sciencessource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
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concepts[field].local:field:medicine-healthmapping · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
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