Real-time bioaerosol emission data from a range of environmental sources, UK, 2016-2018

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Environmental Information Data Centre
Last updated:
29 June 2024
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Summary

The data offers insights to utility of single particle ultraviolet light- induced fluorescence (UV-LIF) measurements in providing quantification and spatio-temporal characterisation of bioaerosols alongside the size distribution and characteristics of biological materials in airborne particles based on intrinsic bio fluorophores signatures. A novel ultraviolet light-induced fluorescence (UV-LIF) based bioaerosol sensor unit (Spectral Intensity Bioaerosol Sensor (SIBS)) was evaluated. The SIBS measures size, number, shape, and resolved fluorescence emission across 16 wavelength bands from 298 - 735 nm for two excitation wavelengths (285 nm and 370 nm) for single particles in real-time. Measurements entailed the chamber-based studies and real world environments (composting, dairy farms, chicken farms, sewage treatment plants, urban background, agricultural). This data stems as a part of a project (Detection and characterisation of inflammatory agents associated with bioaerosol emitted from biowaste and intensive agriculture) funded by the Natural Environment Research Council [NE/M01163/1]. The award was made under the auspices of the Environmental Microbiology and Human Health programme. The principal purpose was to assess the capabilities of the SIBS to enhance understanding of the bioaerosols emission and dispersion from industrial processes. Full details about this dataset can be found at https://doi.org/10.5285/98970053-b34c-44da-97bd-fbfc38fa8b7a

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Added to data.gov.uk
2024-02-08
Access contraints
If you reuse this data, you should cite: Nasar, Z.A., Tyrrel, S. (2022). Real-time bioaerosol emission data from a range of environmental sources, UK, 2016-2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/98970053-b34c-44da-97bd-fbfc38fa8b7a
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98970053-b34c-44da-97bd-fbfc38fa8b7a
Extent
Latitude: 60.861° to 49.864°
Longitude: -8.648° to 1.768°
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Dataset reference date
2022-02-03 (publication)
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Metadata language
eng
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