e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 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 2025-11-13T16:26:12 UK GEMINI 2.3 UK regions Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019 2022-01-18 publication https://catalogue.ceh.ac.uk/id/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 doi: Woodcock, B.A., Oliver, A.E., Newbold, L.K., Gweon, H.S., Roy, D.B., Pywell, R.F. (2022). Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019. NERC EDS Environmental Information Data Centre 10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera). This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK National Honey Monitoring Scheme (https://honey-monitoring.ac.uk/). All data provided is from the first full year of the scheme in 2019. Working in partnership with UK beekeepers, the National Honey Monitoring Scheme aims to use honeybees to monitor long-term changes in the condition and health of the UK countryside. Data associated with subsequent years will be made available as samples are processed. The Honey Monitoring Scheme is supported by national capability funding from UK Centre for Ecology & Hydrology under the ASSIST programme. Full details about this dataset can be found at https://doi.org/10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 Woodcock, B.A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-0300-9951 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 Oliver, A.E. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-4923-277X 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 Newbold, L.K. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-8895-1406 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 Gweon, H.S. University of Reading h.s.gweon@reading.ac.uk https://orcid.org/0000-0002-6218-6301 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 Roy, D.B. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5147-0331 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 Pywell, R.F. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-6431-9959 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 NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Woodcock, B.A. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-0300-9951 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 pointOfContact asNeeded Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Apis mellifera Honeybee Wikidata 2012-10-29 creation pollen forage crop GEMET - Concepts, version 4.1.3 2019-01-28 creation Agriculture Biodiversity Pollinators United Kingdom Honey DNA Metabarcoding Forage plants National Honey Monitoring Scheme Assist 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: Woodcock, B.A., Oliver, A.E., Newbold, L.K., Gweon, H.S., Roy, D.B., Pywell, R.F. (2022). Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 textTable English utf8 biota 2019-01-01 2019-12-31 -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/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5.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 All honey samples were submitted following an application though the National Honey Monitoring Scheme online portal which required minimum meta-data on site location and sample date which was verified. This included in some cases additional data on hive health metrics. DNA meta-barcoding to rapidly process samples to identify plant species. Quality assurance of the DNA metabarcoding was delivered through operational deployment of sophisticated protocols for barcoding and interpreting large volumes of honey samples. To do this we developed the HONEYPI pipeline implemented in python 2.7 and is open access (https://github.com/hsgweon/honeypi). The HONEYPI pipeline is divided into several parts as follows: 1) the raw amplicon sequences are quality filtered and adapters removed; 2) DADA2 pipeline is subsequently used to generate an Amplicon Sequence Variant (ASV) abundance table containing chimera-removed, high-quality error-corrected sequences. 3). For each ASV, conserved regions flanking ITS2 are removed; and (4) resulting sequences taxonomically classified using the naive Bayesian classifier against in-house ITS2 database. Since HONEYPI uses ASVs rather than clusters of sequences for classification, it allows combining of ASV tables, i.e. data from two or more separate sequencing runs can be merged without re-clustering sequences. A full open access methodological paper describing this approach is given in Oliver et al (2021) MethodsX, 8, 101303 (https://doi.org/10.1016/j.mex.2021.101303)