NERC Data Catalogue Service
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
Simple
- Date (Publication)
- 2022-01-18
- 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
Point of contact
UK Centre for Ecology & Hydrology
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Woodcock, B.A.
https://orcid.org/0000-0003-0300-9951
- Maintenance and update frequency
- asNeeded As needed
- GEMET - INSPIRE themes, version 1.0
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- Environmental Monitoring Facilities
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- Use constraints
- otherRestrictions Other restrictions
- 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 Text, table
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
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- Biota
- Begin date
- 2019-01-01
- End date
- 2019-12-31
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- Reference system identifier
- UK regions
- Distribution format
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Comma-separated values (CSV)
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Comma-separated values (CSV)
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- OnLine resource
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Download the data
Download a copy of this data
- OnLine resource
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 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)
- File identifier
- e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5 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
- 2025-11-13T16:26:12
- 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/
Overviews
Spatial extent
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W
Provided by
Associated resources
Not available