Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019

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

Identification info

Metadata Language: English (en)

Character set: utf8

Dataset Reference Date (): 2022-01-18

Identifier: https://catalogue.ceh.ac.uk/id/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5

Identifier: doi: / 10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5

Other citation details: 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

UK Centre for Ecology & Hydrology - Woodcock, B.A.

UK Centre for Ecology & Hydrology - Oliver, A.E.

UK Centre for Ecology & Hydrology - Newbold, L.K.

University of Reading - Gweon, H.S.

UK Centre for Ecology & Hydrology - Roy, D.B.

UK Centre for Ecology & Hydrology - Pywell, R.F.

NERC EDS Environmental Information Data Centre

UK Centre for Ecology & Hydrology

UK Centre for Ecology & Hydrology - Woodcock, B.A.

Maintenance and update frequency: asNeeded

GEMET - INSPIRE themes, version 1.0 ()

Environmental Monitoring Facilities

Wikidata

Keywords

Agriculture
Biodiversity
Pollinators
Honey
DNA Metabarcoding
Pollen
Forage plants
National Honey Monitoring Scheme
Assist
United Kingdom

Limitations on Public Access: otherRestrictions

Other constraints: no limitations

Use constraints: otherRestrictions

Other constraints: This resource is available under the terms of the Open Government Licence

Use constraints: otherRestrictions

Other constraints: 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

Spatial representation type: textTable

Topic category

Biota

Begin date: 2019-01-01

End date: 2019-12-31

Reference system identifier: UK regions

Distribution Information

Data format

Comma-separated values (CSV) ()

Resource Locator: Download the data
Download a copy of this data

Resource Locator: Supporting information
Supporting information available to assist in re-use of this dataset

Resource Locator: Download the data
Download a copy of this data

Resource Locator: Supporting information
Supporting information available to assist in re-use of this dataset

Quality Scope: dataset

Other: dataset

Report

Dataset Reference Date (): 2010-12-08

Statement: 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)

Metadata

File identifier: e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 XML

Metadata Language: English (en)

Character set: ISO/IEC 8859-1 (also known as Latin 1)

Resource type: dataset

Hierarchy level name: dataset

Metadata Date: 2022-05-18T12:21:22

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Environmental Information Data Centre

Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK

Overviews

Publishing Body

Access the portal

Full access to the portal and metadata.

Associated resources (if any)

Not available

Default