Date (Publication)

2020-12-15

Citation identifier

https://catalogue.ceh.ac.uk/id/28208be4-0163-45e6-912c-2db205126925

Citation 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

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Bangor University	Brennan, G.	g.l.brennan@bangor.ac.uk	Author
Bangor University	Creer, S.	s.creer@bangor.ac.uk	Author
Aberystwyth University	Griffith, G.	Gwg@aber.ac.uk	Author
Bangor University	Brennan, G.	g.l.brennan@bangor.ac.uk	Point of contact
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Custodian
NERC Environmental Information Data Centre		info@eidc.ac.uk	Publisher
Bangor University		copyright@bangor.ac.uk	Owner

GEMET - INSPIRE themes, version 1.0

• Environmental Monitoring Facilities

Wikidata

• Arrhenatherum elatius
• Cynosurus cristatus
• Dactylis glomerata
• Lolium perenne
• Phleum pratense
• Poa pratensis

GEMET - Concepts, version 4.1.3

• pollen
• DNA

Keywords

• Biodiversity

• Airborne pollen

• environmental DNA

• quantitative PCR (qPCR)

• grass pollen season

• Anthoxanthum odoratum

• sweet vernal-grass

• false oat-grass

• crested dog's-tail

• cock's-foot

• perennial ryegrass)

• Timothy

• smooth meadow-grass

Access constraints

Other restrictions

Other constraints

no limitations

Use constraints

Other restrictions

Other constraints

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

Use constraints

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

Text, table

Distance

1  urn:ogc:def:uom:EPSG::9001

Language

English

Character set

UTF8

Topic category

• Biota

Begin date

2016-05-01

End date

2017-09-30

Unique resource identifier

WGS 84 / Pseudo-Mercator

Distribution format

Name	Version
Comma-separated values (CSV)

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://data-package.ceh.ac.uk/data/28208be4-0163-45e6-912c-2db205126925	Download the data

OnLine resource

Protocol	Linkage	Name
	https://data-package.ceh.ac.uk/sd/28208be4-0163-45e6-912c-2db205126925.zip	Supporting information

Hierarchy level

Dataset

Other

dataset

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.

Metadata

File identifier

28208be4-0163-45e6-912c-2db205126925 XML

Metadata language

English

Character set

8859 Part 1

Hierarchy level

Dataset

Hierarchy level name

dataset

Date stamp

2025-11-13T16:19:15

Metadata standard name

UK GEMINI

Metadata standard version

2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Point of contact