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
Listed in DataSuds
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).
Links
Where it is published
- Dataverse dataset page dataverse.ird.fr/dataset.xhtml?persistentId=doi%3A10.23708%2FRNY0LD ↗
landing page · from dataverse ird fr
- DOI doi.org/10.23708/rny0ld ↗
DOI / persistent id · from dataverse ird fr
Catalogue records · 1
- Dataverse API dataverse.ird.fr/api/datasets/:persistentId/?persistentId=doi%3A10.23708%2FRNY0… ↗
metadata API · from dataverse ird fr
Topics
- Stated by source
- Agricultural Sciences · Earth and Environmental Sciences · Medicine, Health and Life Sciences
- From keywords
- Earth & Environmental Science · Engineering · Life Sciences · Medicine & Health
- Inferred from text
- Pollution and contamination 69%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataSuds | doi:10.23708/RNY0LD | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4105 | enrichment · dataverse ird fr | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:agricultural-sciences | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /subjects |
| created_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| description | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /description |
| publication_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| title | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | /name |
| updated_date | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 | |
| version_label | source · dataverse ird fr | connector:dataverse_ird_fr@1.0.0 |