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Abundance of airborne pollen for nine grass species, measured by qPCR, UK, 2016-2017

The dataset contains abundance data of airborne pollen (including Anthoxanthum odoratum (sweet vernal-grass), Arrhenatherum elatius (false oat-grass), Cynosurus cristatus (crested dog's-tail), Dactylis glomerata (cock's-foot), Lolium perenne (perennial ryegrass), Phleum pratense (Timothy), Poa pratensis (smooth meadow-grass), grass species within the genera Alopecurus/Agrostis, and one probe that was found to be degenerate and unable to discriminate grass species. Here we used qPCR to track the seasonal progression of airborne grass pollen, in time and space. To do this we collected aerial samples from thirteen sites across the UK during the pollen seasons (May to September) of 2016 and 2017. Full details about this dataset can be found at https://doi.org/10.5285/28208be4-0163-45e6-912c-2db205126925

Simple

Date (Publication)
2020-12-15
Identifier
https://catalogue.ceh.ac.uk/id/28208be4-0163-45e6-912c-2db205126925
Identifier
doi: / 10.5285/28208be4-0163-45e6-912c-2db205126925
Other citation details
Brennan, G., Creer, S., Griffith, G. (2020). Abundance of airborne pollen for nine grass species, measured by qPCR, UK, 2016-2017. NERC Environmental Information Data Centre 10.5285/28208be4-0163-45e6-912c-2db205126925
Author
  Bangor University - Brennan, G.
https://orcid.org/0000-0003-2045-757X
Author
  Bangor University - Creer, S.
https://orcid.org/0000-0003-3124-3550
Author
  Aberystwyth University - Griffith, G.
https://orcid.org/0000-0001-6914-3745
Point of contact
  Bangor University - Brennan, G.
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC Environmental Information Data Centre
Owner
  Bangor University
GEMET - INSPIRE themes, version 1.0
  • Environmental Monitoring Facilities
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
Other constraints
If you reuse this data, you should cite: Brennan, G., Creer, S., Griffith, G. (2020). Abundance of airborne pollen for nine grass species, measured by qPCR, UK, 2016-2017. NERC Environmental Information Data Centre https://doi.org/10.5285/28208be4-0163-45e6-912c-2db205126925
Spatial representation type
textTable Text, table
Distance
1  urn:ogc:def:uom:EPSG::9001
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Biota
Begin date
2016-05-01
End date
2017-09-30
N
S
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W
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Unique resource identifier
WGS 84 / Pseudo-Mercator
Distribution format
  • Comma-separated values (CSV) ()

Distributor
  NERC EDS Environmental Information Data Centre
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dataset Dataset
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dataset

Conformance result

Date (Publication)
2010-12-08
Statement
The qPCR data was collected using a QuantStudio 6 Flex Real-Time qPCR machine (ThermoFisher Scientific). Species-specific primers were designed to target the ITS2 region of abundant grass species in the UK including Anthoxanthum odoratum (sweet vernal-grass), Arrhenatherum elatius (false oat-grass), Cynosurus cristatus (crested dog's-tail), Dactylis glomerata (cock's-foot), Lolium perenne (perennial ryegrass), Phleum pratense (Timothy), Poa pratensis (smooth meadow-grass), grass species within the genera Alopecurus/Agrostis, and one probe that was found to be degenerate and unable to discriminate grass species. Of 1,400 daily aerial samples, 1,210 were selected for downstream molecular analysis. Samples were excluded if pollen could not be reliably extracted due to large volumes of rainwater in collection tubes. Quantitative PCR runs with PCR efficiencies less than 85% and greater than 115% were not used for further analysis (efficiency of qPCR data used in downstream analysis ranged between 88.5% and 106%). Data points with a large standard deviation between three technical replicates (>6.95, based on the upper quartile range of the data) were removed. In addition, samples which amplified before 10 cycles and after 38 cycles were removed to reduce the chance of detecting false positive or false negative amplification respectively. The reliability of the data was evaluated based on the positive and negative controls.
File identifier
28208be4-0163-45e6-912c-2db205126925 XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-11-13T16:19:15
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

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GEMET - INSPIRE themes, version 1.0
Environmental Monitoring Facilities

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