28208be4-0163-45e6-912c-2db205126925 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:19:15 UK GEMINI 2.3 WGS 84 / Pseudo-Mercator Abundance of airborne pollen for nine grass species, measured by qPCR, UK, 2016-2017 2020-12-15 publication https://catalogue.ceh.ac.uk/id/28208be4-0163-45e6-912c-2db205126925 10.5285/28208be4-0163-45e6-912c-2db205126925 doi: 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 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 Brennan, G. Bangor University g.l.brennan@bangor.ac.uk https://orcid.org/0000-0003-2045-757X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Creer, S. Bangor University s.creer@bangor.ac.uk https://orcid.org/0000-0003-3124-3550 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Griffith, G. Aberystwyth University Gwg@aber.ac.uk https://orcid.org/0000-0001-6914-3745 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Brennan, G. Bangor University g.l.brennan@bangor.ac.uk pointOfContact 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 Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Arrhenatherum elatius Cynosurus cristatus Dactylis glomerata Lolium perenne Phleum pratense Poa pratensis Wikidata 2012-10-29 creation pollen DNA GEMET - Concepts, version 4.1.3 2019-01-28 creation 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 otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 textTable 1 English utf8 biota 2016-05-01 2017-09-30 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/28208be4-0163-45e6-912c-2db205126925 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/28208be4-0163-45e6-912c-2db205126925.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.