Water chemistry from the Red River Delta, Vietnam, 2018 to 2020

• Published by: Environmental Information Data Centre
• Last updated: 03 May 2023
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

The dataset contains physical, chemical and biological measurements from the waters of 21 river sites across the Red River Delta in northern Vietnam. The data were collected monthly between February 2018 and January 2020. The parameters include temperature, dissolved oxygen, salinity, pH, turbidity, conductivity, total dissolved solids, dissolved nitrate, dissolved nitrite, dissolved ammonium, total nitrogen, dissolved phosphate, dissolved silicate, alkalinity, dissolved major ions (sodium, magnesium, potassium, calcium, chloride, sulphate) and a range of chlorophyll and carotenoid pigments from riverine seston. Full details about this dataset can be found at https://doi.org/10.5285/7e35e760-0ca2-4290-8970-464ead03055d

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Data links

Link to the data	Format	File added	Data preview
Supporting information	ZIP	03 May 2023	Not available
Download the data	N/A	03 May 2023	Not available

Additional information

View additional metadata

• Added to data.gov.uk: 2023-04-28T08:08:23
• Access contraints: If you reuse this data, you should cite: McGowan, S., Salgado, J. (2022). Water chemistry from the Red River Delta, Vietnam, 2018 to 2020. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/7e35e760-0ca2-4290-8970-464ead03055d
• Harvest GUID: 7e35e760-0ca2-4290-8970-464ead03055d
• Extent: Latitude: 22.29° to 19.84°
• Extent: Longitude: 104.35° to 106.77°
• Dataset reference date: 2022-08-31 (publication)
• Responsible party: Netherlands Institute of Ecology (author); University of Nottingham (author, owner); Netherlands institute of Ecology (pointOfContact); NERC EDS Environmental Information Data Centre (custodian, publisher); Vietnamese Academy of Science and Technology (owner)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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