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Data · dataset · 2021

Escherichia coli concentrations and physico-chemical measurements (2011-2021) at the outlet of six catchments of the Mekong river basin, northern Lao PDR

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Description

This dataset has been collected thanks to the long-term partnership with 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) with upper and lower limits of the confidence interval, 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), turbidity (NTU), suspended sediment concentration (g L-1). All variables were measured in the Mekong River in Luang Prabang (MK_17) and in five tributary catchments of the Mekong (Nam Khan: stations NK20 and NK26; Houay Khan: A6; Nam Ou: Nou_1; Nam Seuang: Nse_1), in northern Lao PDR.

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The monitoring includes measurements during low flow and high flow periods from May 2011 to May 2021. The authors acknowledge the financial support of the Institut de Recherche pour le Développement (IRD), the GIS-Climat (Pastek program, gisclimat.fr/en/project/pastek.html), the French National Research Agency (TecItEasy project ANR-13-AGRO-0007; anr.fr/en/), the International Joint Laboratory on the impact of rapid Land use-change on Soil Ecosystem Services (LMI LUSES; ECOFILTER project; luses.ird.fr/), and the French national grant EC2CO-Biohefect/Ecodyn//Dril/MicrobiEn (NARIBACT project).

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Catalogue records · 1

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Inferred from text
Pollution and contamination 69%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
DataSudsdoi:10.23708/1YZQHH12 d agoJSON v1
FieldAssertionExtractorEvidence
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