Monthly ammonia measurements from passive samplers using ALPHA® PTFE1020 membrane at four UK Eutrophying and Acidifying Pollutants (UKEAP) network sites, 2022

https://doi.org/10.5285/86b3ca4a-143f-4a96-b6cd-38544e118f81

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This dataset is available under the terms of the Open Government Licence

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This dataset consists of monthly ammonia (NH3) measurements from ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites from January 2022 to December 2022. The UK Eutrophying and Acidifying Atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites across the UK. Originally the purpose of these measurements was for validation of a new PTFE membrane for ALPHA® samplers prepared at UKCEH Edinburgh research laboratory.

Publication date: 2023-10-13

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More information

View numbers valid from 13 October 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area

Spatial representation type

Tabular (text)

Spatial reference system

WGS 84

Temporal information

Temporal extent

2022-01-01 to 2022-12-31

Provenance & quality

Local site operator duties are completed by UK Centre for Ecology and Hydrology (UKCEH) staff, Agri-Food and Biosciences Institute (AFBI) staff at Hillsborough and Ricardo AEA staff at Chilbolton. Analysis is completed by the UKCEH Edinburgh. Data analysis and preparation is conducted using the AAGA (Ammonia Acids Gases and Aerosols) data processing tool. AAGA is a database designed to introduce more reliable, reproductible and traceable way of handling data from ALPHA® samplers.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:

Iwanicka, A.; Stephens, A.; Duarte, F. (2023). Monthly ammonia measurements from passive samplers using ALPHA® PTFE1020 membrane at four UK Eutrophying and Acidifying Pollutants (UKEAP) network sites, 2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/86b3ca4a-143f-4a96-b6cd-38544e118f81

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