{"facets":[{"admin":false,"displayName":"Research Theme","fieldName":"assistResearchThemes","hierarchical":false},{"admin":false,"displayName":"Topic","fieldName":"assistTopics","hierarchical":false}],"nextPage":"https://catalogue.ceh.ac.uk/assist/documents?page=2","numFound":30,"order":"asc","page":1,"results":[{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports pitfall trap sampling used to collect surface active invertebrates.  Ground beetles were identified to species and a sub set of other key predatory functional groups were counted. This was undertaken at replicated points along a spatial sampling grid established on each field as well as in the field margins and infield strips.  Sampling was undertaken from 2018-2021.  \n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"d1173650-38b2-47f6-bf0a-39d6e34af9bf","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-25T14:17:29.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d1173650-38b2-47f6-bf0a-39d6e34af9bf"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment pitfall trap data","version":1.0,"view":["public","emmben"]},{"availability":"Unknown","catalogue":"assist","description":"Exploring the effects of novel slow release fertilisers, traditional N fertilisers and biochar on the release of GHG emissions from a spring barley crop, with particular focus on N2O emissions. \n\nNB: This dataset is currently being generated and is expected to become available in Q2 2022.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).\n","documentType":"GEMINI_DOCUMENT","funder":["Biotechnology and Biological Sciences Research Council","Natural Environment Research Council"],"identifier":"5c04f72d-b3e9-4b79-9dd7-b88f159f537d","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-1.323636 51.584952, -1.323636 51.584952, -1.323636 51.584952, -1.323636 51.584952, -1.323636 51.584952))"],"metadataDate":"2026-07-24T23:09:31.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5c04f72d-b3e9-4b79-9dd7-b88f159f537d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"Exploring the effects of novel slow release fertilisers, traditional N fertilisers and biochar on the release of GHG emissions from a spring barley crop, with particular focus on N2O emissions. \n\nNB: This dataset is currently being generated and is expected to become…","state":"published","title":"Investigating effects of novel slow release fertilisers, traditional fertiliser and biochar addition to GHG emissions. ASSIST 2021","version":1.0,"view":["public","emmben"]},{"availability":"Unknown","catalogue":"assist","description":"The scheme aims to monitor how the foraging habits of UK honeybees respond to a changing environment. Further, if these changes can be used to provide information on the health of our countryside. It is the first UK-wide analysis of its kind, and uses DNA barcoding techniques to identify traces of pollen in honey. The sequence data has been generated - Oliver, Anna E.; Newbold, Lindsay K.; Gweon, Hyun S.; Read, Daniel S.; Woodcock, Ben A.; Pywell, Richard F.. 2021 Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme. MethodsX, 8, 101303. 7, pp. https://doi.org/10.1016/j.mex.2021.101303) – for 2018 to 2020 but is being worked on for publication purposes. For publication sequence data will need to be made publically available, so will be uploaded to GenBank (Benson DA, Cavanaugh M, Clark K, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW. GenBank. Nucleic Acids Res. 2013 Jan;41(Database issue):D36-42. doi: 10.1093/nar/gks1195. Epub 2012 Nov 27. PMID: 23193287; PMCID: PMC3531190).  \n\nIndividual participants have already had their personal data provided to them (for 2018 and 2019; 2020 will follow shortly) via the NHMS website (https://honey-monitoring.ac.uk/). These are not raw data, counts or sequence FASTA files. We provide the relative abundance of the top plant taxa found within their honey samples as well as a complete list of taxa found. Individual data will not not publicly available due to participant confidentiality.\n\nNB: This dataset is currently being generated and is expected to become available in April 2022\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"c3c510cf-4332-44d1-bba2-9a878c720cd4","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:01:27.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c3c510cf-4332-44d1-bba2-9a878c720cd4"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"The scheme aims to monitor how the foraging habits of UK honeybees respond to a changing environment. Further, if these changes can be used to provide information on the health of our countryside. It is the first UK-wide analysis of its kind, and uses DNA barcoding…","state":"published","title":"National Honey Monitoring Scheme: Forage behaviour of UK honeybees 2018 onwards, as shown by plant DNA barcoding","version":1.0,"view":["public","emmben"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Reading"],"authorFamilyName":["Redhead","Coombes","Dean","Dyer","Oliver","Pocock","Rorke","Vanbergen","Woodcock","Pywell"],"authorFullName":["Redhead, J.W.","Coombes, C.F.","Dean, H.J.","Dyer, R.","Oliver, T.H.","Pocock, M.J.O.","Rorke, S.L.","Vanbergen, A.J.","Woodcock, B.A.","Pywell, R.F."],"authorGivenName":["J.W.","C.F.","H.J.","R.","T.H.","M.J.O.","S.L.","A.J.","B.A.","R.F."],"authorOrcid":["0000-0002-2233-3848","0000-0002-9602-7202","0000-0003-4375-0445","0000-0001-8320-5535","0000-0003-0300-9951","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"Plant-pollinator interactions database derived from biological recording data, unpublished experimental data and published interactions in books and papers.  The database covers all recorded interactions for bees, hoverflies and butterflies in mainland GB.  Interactions were inferred from biological recording metadata by algorithmically screening for text matching a valid scientific or vernacular plant name (or a widely used synonym or abbreviation of either), followed by manual data cleaning.  These data were compiled for the construction of multiple potential plant-pollinator networks in combination with plant and pollinator occurrence data.","documentType":"GEMINI_DOCUMENT","familyName":["Redhead","Coombes","Dean","Dyer","Oliver","Pocock","Rorke","Vanbergen","Woodcock","Pywell"],"fullName":["Redhead, J.W.","Coombes, C.F.","Dean, H.J.","Dyer, R.","Oliver, T.H.","Pocock, M.J.O.","Rorke, S.L.","Vanbergen, A.J.","Woodcock, B.A.","Pywell, R.F.","Redhead, J."],"givenName":["J.W.","C.F.","H.J.","R.","T.H.","M.J.O.","S.L.","A.J.","B.A.","R.F.","John"],"identifier":"6d8d5cb5-bd54-4da7-903a-15bd4bbd531b","incomingCitationCount":5,"keyword":["Pollinators","Syrphidae","lepidopteran","hymenopteran"],"keywordsOther":["Syrphidae","lepidopteran","hymenopteran"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Biological recording data were obtained from the Bees, Wasps and Ants Recording Society (BWARS), Butterflies for the New Millennium (BNM, Asher 1997) and Hoverfly Recording Scheme (HRS), with interactions recorded as incidental metadata submitted alongside occurrence records. Pollinator biological records with associated metadata were algorithmically screened for text matching a valid scientific or vernacular plant name (or a widely used synonym or abbreviation of either).  In most cases, such matches record the visitation of a flower by a pollinating insect.  However, there are other reasons for a valid match in the comments field, including descriptions of local habitat (e.g. 'English oak woodland'), pollinator behaviour (e.g. 'flying near blackthorn hedge') or sampling methods (e.g. 'swept from Arrhenathrum eliatus sward').  In order to exclude these, all plant species producing a match were screened according whether they produce flowers which are known to be visited by insects and whether such visits are likely to result in beneficial pollen transfer (i.e. the plant is primarily entomophilic).  These criteria excluded the majority of trees and grasses, which are likely to derive from habitat descriptions or interactions other than flower visits (e.g. honeydew feeding).  Even though some primarily wind-pollinated grass flowers are known to be visited by certain pollinators, their impact on pollen transfer is likely to be very slight in temperate climates (Clifford 1964; Adams et al. 1981).  The data contains only plant species not defined as 'casuals' in PLANTATT ('casual is a plant that is present only as populations which fail to persist in the wild for periods of more than approximately five years' Hill et al. 2004). \n\nFor a full description of methods, please download the supporting documentation (plant_pollinator_interactions_supporting_documentation.rtf)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:49:00.000Z","orcid":["0000-0002-2233-3848","0000-0002-9602-7202","0000-0003-4375-0445","0000-0001-8320-5535","0000-0003-0300-9951","0000-0001-6431-9959"],"organisation":["Centre for Ecology & Hydrology","University of Reading","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-04-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b","10.5285/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b","doi:10.5285/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"Plant-pollinator interactions database derived from biological recording data, unpublished experimental data and published interactions in books and papers.  The database covers all recorded interactions for bees, hoverflies and butterflies in mainland GB.  Interactions…","state":"published","title":"Plant-pollinator interactions database for construction of potential networks","topic":["0/Pollinators/"],"version":1.0,"view":["public","phtr","jgar"]},{"availability":"Unknown","catalogue":"assist","description":"UKCEH Land Cover® plus: Crop maps are detailed, satellite-derived, digital maps of crops in Great Britain. They provide annual crop information or over 2-million fields in Great Britain.\n\nTo date, UKCEH Land Cover® plus: Crop maps have been produced for 2015 (partial GB coverage), 2016, 2017, 2018, 2019 and 2020 (full GB coveage). The crop maps become available each autumn, with advance maps of Oilseed Rape accessible from August each year.\n\nNew products are available towards the end of each Calendar year.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"a40680aa-9fbc-4c3e-ad8a-48d7b989bab8","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:17:43.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a40680aa-9fbc-4c3e-ad8a-48d7b989bab8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"UKCEH Land Cover® plus: Crop maps are detailed, satellite-derived, digital maps of crops in Great Britain. They provide annual crop information or over 2-million fields in Great Britain.\n\nTo date, UKCEH Land Cover® plus: Crop maps have been produced for 2015 (partial…","state":"published","title":"Land Cover® plus: Crops 2015-2020","version":1.0,"view":["public","emmben"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image).  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. \n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"505d1e0c-ab60-4a60-b448-68c5bbae403e","incomingCitationCount":10,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The percentage target class is produced from the 25m raster (which is derived from the vector product) by:\n1.\tUsing gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2.\tGdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3.\tGdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:02:50.000Z","orcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/505d1e0c-ab60-4a60-b448-68c5bbae403e","10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e","doi:10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one…","state":"published","temporalExtentText":"Data collected from 2014 to 2015","title":"Land Cover Map 2015 (1km percentage target class, GB)","version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"assist","description":"Basic trait data on 116 UK bee, and 81 natural enemies (carabid and ladybird) species (Size, diet breadth, sociality, voltinism, flight season, dispersal ability). Collated from a wide variety of published sources. \n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).\n\nAvailable to download: Appendix 5 of https://doi.org/10.1016/j.jenvman.2020.110550 ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"3cfbcb29-6799-4714-a6bc-0e2fb311e35d","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:40:40.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3cfbcb29-6799-4714-a6bc-0e2fb311e35d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"Basic trait data on 116 UK bee, and 81 natural enemies (carabid and ladybird) species (Size, diet breadth, sociality, voltinism, flight season, dispersal ability). Collated from a wide variety of published sources. \n\nData acquisition was funded by the Natural Environment…","state":"published","title":"Beneficial invertebrate trait data","version":1.0,"view":["assist-team","public","emmben"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  This data set reports background information on field crop rotation over the period from 2018-2021 as well as supporting information relating to other management practices including agrochemical usage where available.  \n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"e6ba3c19-a769-4e72-82b2-ecb546c4e679","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-25T14:50:24.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e6ba3c19-a769-4e72-82b2-ecb546c4e679"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment farm management data","version":1.0,"view":["assist-team","public","emmben"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bell","Davies","Fry","Zhang","Murphy","Hitt","Hewitt","Chapman","Black"],"authorFullName":["Bell, V.A.","Davies, H.N.","Fry, M.","Zhang, T.","Murphy, H.","Hitt, O.","Hewitt, E.J.","Chapman, R.","Black, K.B."],"authorGivenName":["V.A.","H.N.","M.","T.","H.","O.","E.J.","R.","K.B."],"authorOrcid":["0000-0002-0792-5650","0000-0001-7783-4853","0000-0003-1142-4039","0000-0001-9292-7740","0000-0003-3100-4904","0000-0002-3842-1420","0000-0002-7436-5411"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"The dataset of neutron probe soil moisture observations for 112 sites (428 probe locations) from 1966 to 2013 includes 4 comma-separated tables, derived from the UK Soil Moisture Databank.\n\nThe data include: \n•      Neutron probe readings (number of neutrons) and Volumetric soil moisture content (m3 m-3) at a range of soil depths\n•      Profile moisture content (m3 m-3) to a range of soil depths\n•\tMetadata (includes probe location, maximum depth of readings, soil type, vegetation, start date, end date)\n•\tRelevant publications (references and URL where available) for individual datasets\n\nThe tube site locations are provided as British National Grid references and latitude/longitude in the tube metadata file. Depths of tube readings are provided in metres.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bell","Davies","Fry","Zhang","Murphy","Hitt","Hewitt","Chapman","Black"],"fullName":["Bell, V.A.","Davies, H.N.","Fry, M.","Zhang, T.","Murphy, H.","Hitt, O.","Hewitt, E.J.","Chapman, R.","Black, K.B.","Bell, V."],"funder":["Natural Environment Research Council","European Union"],"givenName":["V.A.","H.N.","M.","T.","H.","O.","E.J.","R.","K.B.","Vicky"],"grant":["NE/N018125/1","603525"],"identifier":"450bb14b-c711-47af-8792-f9bd88482cd4","incomingCitationCount":1,"keyword":["Soil","Hydrology","UK","Soil-moisture","Neutron-probe"],"keywordsOther":["UK","Soil-moisture","Neutron-probe"],"keywordsTheme":["Soil","Hydrology"],"licence":"Open government licence","lineage":"An archive of neutron probe data for over 400 UK locations has been assembled following a data recovery process. The UKSMD (UK Soil Moisture Databank) consists of neutron probe observations from 1966 to 2013 recovered from fragile magnetic tapes and from disparate spreadsheets and databases. Much of the older data (1960s and 1970s) formed part of a national soil moisture database, “The Soil Moisture Databank (SMDB)” which was previously considered lost, but has since been recovered from old tapes, reassembled, and quality assessed. An additional archive of more-recent neutron probe data for a further 329 probe locations up to 2013 has been retrieved from disparate spreadsheets and databases across UKCEH. All associated data, from the raw digitised neutron probe measurements to volumetric soil moisture data have been quality controlled and converted to standard (SI) units\nSee supporting information for more details.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:16:18.000Z","orcid":["0000-0002-0792-5650","0000-0001-7783-4853","0000-0003-1142-4039","0000-0001-9292-7740","0000-0003-3100-4904","0000-0002-3842-1420","0000-0002-7436-5411"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/450bb14b-c711-47af-8792-f9bd88482cd4","10.5285/450bb14b-c711-47af-8792-f9bd88482cd4","doi:10.5285/450bb14b-c711-47af-8792-f9bd88482cd4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset of neutron probe soil moisture observations for 112 sites (428 probe locations) from 1966 to 2013 includes 4 comma-separated tables, derived from the UK Soil Moisture Databank.\n\nThe data include: \n•      Neutron probe readings (number of neutrons) and Volumetric…","state":"published","temporalExtentText":"Data collected from 1966 to 2013","title":"Collated neutron probe measurements and derived soil moisture data, UK, 1966-2013","topic":["0/Soil/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports gastropod surveys undertaken using baited bran traps within spring barley fields.  This was undertaken at replicated points along a spatial sampling grid established on each field.  Sampling was undertaken from 2018-2021.  \n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"d5c1b725-ced2-4dbd-b146-65b5b2be379e","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-25T14:20:12.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d5c1b725-ced2-4dbd-b146-65b5b2be379e"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment gastropod surveys from spring barley","version":1.0,"view":["public","emmben"]},{"availability":"Unknown","catalogue":"assist","description":"Investigating whether splitting total nitrogen fertiliser application can improve nitrogen use efficiency in a winter wheat crop. Can splitting total N addition into 2, 4 or 6 application doses minimise excess soil N leaching, volatilisation and gaseous losses? \n\nNB: This dataset is currently being QC’d and is expected to become available in Q1 2022.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"020aa93d-acff-4354-a2d6-1ba129591ea1","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-1.332718 51.591947, -1.332718 51.591947, -1.332718 51.591947, -1.332718 51.591947, -1.332718 51.591947))"],"metadataDate":"2026-07-24T18:51:55.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/020aa93d-acff-4354-a2d6-1ba129591ea1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"Investigating whether splitting total nitrogen fertiliser application can improve nitrogen use efficiency in a winter wheat crop. Can splitting total N addition into 2, 4 or 6 application doses minimise excess soil N leaching, volatilisation and gaseous losses? \n\nNB:…","state":"published","title":"Can N2O emissions be reduced in winter wheat by split additions of nitrogen fertiliser? ASSIST 2020","version":1.0,"view":["public","emmben"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports suction quadrat based samples of the plant community using percentage cover by vertical projection undertaken at replicated points along a spatial sampling line for the field margins and infield strips.  Sampling was undertaken from 2018-2021.\n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"59b24019-d3e7-4b42-8f8b-171804a171c3","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-24T23:07:42.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59b24019-d3e7-4b42-8f8b-171804a171c3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment plant quadrat data","version":1.0,"view":["public","emmben"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Reading"],"authorFamilyName":["Redhead","Oliver","Woodcock","Pywell"],"authorFullName":["Redhead, J.W.","Oliver, T.H.","Woodcock, B.A.","Pywell, R.F."],"authorGivenName":["J.W.","T.H.","B.A.","R.F."],"authorOrcid":["0000-0002-2233-3848","0000-0002-4169-7313","0000-0003-0300-9951","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"Data on resilience of wheat yields in England, derived from the annual Defra Cereals and Oilseeds production survey of commercial farms. The data presented here are summarised over a ten-year time-series (2008-2017) at 10km x10km grid cell (hectad) resolution. The data give the mean yield, relative yield, yield stability and resistance to an extreme event (the poor weather of 2012), for all hectads with at least one sampled farm holding in each year of the time-series (i.e. the minimum data required to calculate the resilience metrics). These metrics were calculated to explore the impact of landscape structure on yield resilience. The data also give the number of samples per year per hectad, so that sampling biases can be explored and filtering applied. No hectads are included that contain data from <9 holdings across the time series (the minimum level required by Defra to maintain anonymity is <5). \n\nThe data were created under the ASSIST (Achieving Sustainable Agricultural Systems) project by staff at the UK Centre for Ecology & Hydrology to enable exploration of the impacts of agriculture on the environment and vice versa, enabling farmers and policymakers to implement better, more sustainable agricultural practices.","documentType":"GEMINI_DOCUMENT","familyName":["Redhead","Oliver","Woodcock","Pywell"],"fullName":["Redhead, J.W.","Oliver, T.H.","Woodcock, B.A.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["J.W.","T.H.","B.A.","R.F."],"grant":["NE/N018125/1"],"identifier":"7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea","incomingCitationCount":0,"keyword":["Achieving Sustainable Agricultural Systems (ASSIST)","Agriculture","Land use","agriculture","yield (agricultural)","wheat"],"keywordsOther":["agriculture","yield (agricultural)","wheat"],"keywordsProject":["Achieving Sustainable Agricultural Systems (ASSIST)"],"keywordsTheme":["Agriculture","Land use"],"licence":"Open government licence","lineage":"The original yield data were collected by Defra using a survey of a stratified random sample of farm holdings, as part of the annual June census of the English agricultural industry. Data were available for ten years (2008-2017), comprising average winter wheat yield per holding and coordinates locating each to 1 km. UKCEH obtained these data under a confidentiality agreement with Defra. Data were cleaned to remove anomalous yield values (zero values, whole crop silage harvests and obvious outliers).\n\nBecause a new random sample of farm holdings is drawn each year, few had consecutive data across 10 years. To analyse yield variation over time and account for local spatial variation in farming practices data were therefore aggregated to mean annual yield per 10km x 10km Ordnance Survey grid cell ('hectad'). This also preserves survey respondent anonymity by ensuring that no yield value can be attributed to the location of a single holding (a condition of use for the original Defra survey data, in line with the Agricultural Statistics Act 1979). Resilience metrics were then calculated across the time series (see below). Data included here give these metrics for 315 hectads with at least one sampled holding in each year of the time-series (i.e. the minimum data required to calculate the resilience metrics), although further analyses used only 137 that were deemed to be sufficiently well-sampled to avoid biases relating to sample size. This was based on thresholds for the minimum permissible number of samples per year and the number of years permitted to have this value, to determine which combination retained the maximum number of samples whilst removing the significant correlations between sample size and mean yield and between mean sample size and mean yield over time. A threshold value of no more than one year with a single sample and no more than two years having less than three samples was found to meet achieve this.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T06:58:08.000Z","orcid":["0000-0002-2233-3848","0000-0002-4169-7313","0000-0003-0300-9951","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","University of Reading","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea","10.5285/7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea","doi:10.5285/7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"Data on resilience of wheat yields in England, derived from the annual Defra Cereals and Oilseeds production survey of commercial farms. The data presented here are summarised over a ten-year time-series (2008-2017) at 10km x10km grid cell (hectad) resolution. The data…","state":"published","temporalExtentText":"Data collected from 2008 to 2017","title":"Wheat yield resilience metrics for sample 10km x 10km grid cells in England, 2008-2017","topic":["0/Agriculture/","0/Land use/"],"version":1.0,"view":["public","shar1"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports hand searching of wheat and spring barley crops (where present in a rotation) to quantify the presence of insect pests (e.g. aphids) and predators (e.g. Syrphidae larvae).  This was undertaken at replicated points along a spatial sampling grid established on each field as well as in the field margins and infield strips.  Sampling was undertaken from 2018-2021.  \n\nThis dataset is due to be available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"c68af2b0-257e-4cae-9a3c-9b5b43762ba5","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-25T14:02:25.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c68af2b0-257e-4cae-9a3c-9b5b43762ba5"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment aphid and predator data from hand searching of wheat and spring barley","version":1.0,"view":["public","emmben"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University College London","Butterfly Conservation","Botanical Society of Britain and Ireland","Soldier Beetles, Jewel Beetles and Glow-worms Recording Scheme","Dipterists Forum, Hoverfly Recording Scheme","Terrestrial Heteroptera Recording Scheme","British Myriapod and Isopod Group","Aquatic Heteroptera Recording Scheme","Weevil and Bark Beetle Recording Scheme","Staphylinidae Recording Scheme","British Arachnological Society","British Dragonfly Society","Chrysomelidae Recording Scheme","Cranefly Recording Scheme","Riverfly Recording Scheme","Hoverfly Recording Scheme","Conchological Society of Great Britain and Ireland","Gelechiid Recording Scheme","Lacewings and Allies Recording Scheme","British Lichen Society","Grasshoppers and Related Insects Recording Scheme","Ground Beetle Recording Scheme","Riverfly Recording Schemes"],"authorFamilyName":["Outhwaite","Powney","August","Chandler","Rorke","Pescott","Harvey","Roy","Fox","Walker","Alexander","Ball","Bantock","Barber","Beckmann","Cook","Flanagan","Fowles","Hammond","Hepper","Hubble","Kramer","Lee","MacAdam","Morris","Norris","Palmer","Plant","Simkin","Stubbs","Sutton","Telfer","Wallace","Isaac"],"authorFullName":["Outhwaite, C.L.","Powney, G.D.","August, T.A.","Chandler, R.E.","Rorke, S.","Pescott, O.","Harvey, M.","Roy, H.E.","Fox, R.","Walker, K.","Roy, D.B.","Alexander, K.","Ball, S.","Bantock, T.","Barber, T.","Beckmann, B.C.","Cook, T.","Flanagan, J.","Fowles, A.","Hammond, P.","Harvey, P.","Hepper, D.","Hubble, D.","Kramer, J.","Lee, P.","MacAdam, C.","Morris, R.","Norris, A.","Palmer, S.","Plant, C.","Simkin, J.","Stubbs, A.","Sutton, P.","Telfer, M.","Wallace, I.","Isaac, N.J.B."],"authorGivenName":["C.L.","G.D.","T.A.","R.E.","S.","O.","M.","H.E.","R.","K.","D.B.","T.","B.C.","J.","A.","P.","D.","C.","I.","N.J.B."],"authorOrcid":["0000-0001-9997-6780","0000-0003-3313-7786","0000-0002-1116-222X","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/05jg03a59","https://ror.org/02krbn758","https://ror.org/050arpw16"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland, Wales and Northern Ireland as well as for the UK and Great Britain (GB) where possible. These data were generated using observations of species collated by UK recording schemes and societies as the input data for a Bayesian occupancy model.  The outputs resulting from this modelling framework are presented in three forms:\n•\t1000 samples from the modelled posterior distribution of the proportion of occupied sites for each species for each year and for each region analysed.\n•\tSummary tables from the model outputs detailing mean occupancy and associated statistics including credible intervals and rhat measure of convergence.\n•\tDerived species trend estimates in the form of annual percentage growth rates.\n\nAnnual estimates derived from fine-grained data (1x1km squares) have not been determined for this set of species before, making this a unique dataset that broadens knowledge on UK biodiversity change. \n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Outhwaite","Powney","August","Chandler","Rorke","Pescott","Harvey","Roy","Fox","Walker","Alexander","Ball","Bantock","Barber","Beckmann","Cook","Flanagan","Fowles","Hammond","Hepper","Hubble","Kramer","Lee","MacAdam","Morris","Norris","Palmer","Plant","Simkin","Stubbs","Sutton","Telfer","Wallace","Isaac","Outwaite"],"fullName":["Outhwaite, C.L.","Powney, G.D.","August, T.A.","Chandler, R.E.","Rorke, S.","Pescott, O.","Harvey, M.","Roy, H.E.","Fox, R.","Walker, K.","Roy, D.B.","Alexander, K.","Ball, S.","Bantock, T.","Barber, T.","Beckmann, B.C.","Cook, T.","Flanagan, J.","Fowles, A.","Hammond, P.","Harvey, P.","Hepper, D.","Hubble, D.","Kramer, J.","Lee, P.","MacAdam, C.","Morris, R.","Norris, A.","Palmer, S.","Plant, C.","Simkin, J.","Stubbs, A.","Sutton, P.","Telfer, M.","Wallace, I.","Isaac, N.J.B.","Outwaite, C."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","G.D.","T.A.","R.E.","S.","O.","M.","H.E.","R.","K.","D.B.","T.","B.C.","J.","A.","P.","D.","C.","I.","N.J.B.","Charlie"],"grant":["NE/R016429/1"],"identifier":"0ec7e549-57d4-4e2d-b2d3-2199e1578d84","incomingCitationCount":6,"keyword":["UK","GB","England","Scotland","Wales","Northern Ireland","Occurrence","Trends","Range","lichen","bryophyte","invertebrate","UK-SCAPE"],"keywordsOther":["Occurrence","Trends","Range","lichen","bryophyte","invertebrate","UK-SCAPE"],"keywordsPlace":["UK","GB","England","Scotland","Wales","Northern Ireland"],"licence":"Open government licence","lineage":"These data were generated using observations of species occurrence as the input data for a Bayesian occupancy model.  The modelling framework implemented was based on that developed to improve precision of occupancy estimates when using biological records type data (Outhwaite et al., 2018; https://doi.org/10.1016/j.ecolind.2018.05.010).  This allowed the estimation of species occupancy for the largest set of UK species to date.\n\nThe input data used for this study consisted of species occurrence data collated from 29 UK recording schemes and societies.  These data are presence only data that consist of a record of a species at a known time and location.  Where possible, these input data were supplemented with additional occurrence data in the same form from the Biological Records Centre database and the wildlife recording app iRecord (https://www.brc.ac.uk/irecord/)\n\nThese input datasets were then standardized according to the requirements of the model and to desired coverage.  Observations of species had to meet the following criteria to be included in the final input dataset:\n- Date of the record known to the day\n- Location of the record known to 1x1km square precision\n- Record was from 1970 onwards\n- The location of the record was in the UK (strictly England, Northern Ireland, Scotland and Wales)\n\nSpecies names were checked with guidance from the scheme organisers, duplicate records were then removed from the dataset.\nThe occupancy modelling framework used here was based on the random walk model tested by Outhwaite et al., 2018.  Alterations made to the modelling framework include country level year effects in the state model and a categorical specification of list length in the detection model.  For a complete description of the model and the changes implemented, see the associated data paper.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:39:51.000Z","orcid":["0000-0001-9997-6780","0000-0003-3313-7786","0000-0002-1116-222X","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-4869-8052"],"organisation":["Centre for Ecology & Hydrology","University College London","Butterfly Conservation","Botanical Society of Britain and Ireland","Soldier Beetles, Jewel Beetles and Glow-worms Recording Scheme","Dipterists Forum, Hoverfly Recording Scheme","Terrestrial Heteroptera Recording Scheme","British Myriapod and Isopod Group","Aquatic Heteroptera Recording Scheme","Weevil and Bark Beetle Recording Scheme","Staphylinidae Recording Scheme","British Arachnological Society","British Dragonfly Society","Chrysomelidae Recording Scheme","Cranefly Recording Scheme","Riverfly Recording Scheme","Hoverfly Recording Scheme","Conchological Society of Great Britain and Ireland","Gelechiid Recording Scheme","Lacewings and Allies Recording Scheme","British Lichen Society","Grasshoppers and Related Insects Recording Scheme","Ground Beetle Recording Scheme","Riverfly Recording Schemes","Centre for Biodiversity and Environment Research, University College London (UCL)","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-03-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ec7e549-57d4-4e2d-b2d3-2199e1578d84","10.5285/0ec7e549-57d4-4e2d-b2d3-2199e1578d84","doi:10.5285/0ec7e549-57d4-4e2d-b2d3-2199e1578d84"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/05jg03a59","https://ror.org/02krbn758","https://ror.org/050arpw16","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland,…","state":"published","supplementalDescription":["Outhwaite, C. L., Chandler, R. E., Powney, G. D., Collen, B., Gregory, R. D., & Isaac, N. J. B. (2018). Prior specification in Bayesian occupancy modelling improves analysis of species occurrence data. Ecological Indicators, 93, 333-343."],"supplementalName":["Shiny app","iRecord"],"temporalExtentText":"Data collected from 1970 to 2015","title":"Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK (1970-2015) ","version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports the abundances of artificial aphid colonies (Sitobion avenae) established on winter wheat plants at replicated points along a spatial sampling grid established on each field.  We monitor how the aphid colonies change in size in response to the naturally occurring communities of predators found in each field.  Sampling was undertaken from 2018-2021.  \n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"a063f765-3221-4686-9ba9-fc74d6f5f8f9","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-25T13:16:07.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a063f765-3221-4686-9ba9-fc74d6f5f8f9"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment sentinel aphid data from wheat plants","version":1.0,"view":["public","emmben"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports chemical analysis (including soil carbon, nitrogen and other common soil nutrients of agronomic importance) and bulk density estimates of soil samples taken from a replicated points along a spatial sampling grid established on each field.  Sampling was undertaken in the establishment year (either 2017 or 2018) and again at the end of the experiment (2021).  \n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"9a7e5639-9143-49e9-a207-fec38e2adc3a","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-25T10:21:35.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9a7e5639-9143-49e9-a207-fec38e2adc3a"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment soil chemical analysis","version":1.0,"view":["public","emmben"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports yield of sellable crop assessments from 0.5 x 0.5 m quadrates undertaken at replicated points along a spatial sampling grid established on each field.  In each quadrat the crop was removed and the edible component (e.g. seeds, tubers etc) was weighed.   Sampling was undertaken from 2018-2021.  \n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"7add7039-498c-4df0-a2ac-d9fd44bbda38","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-25T06:56:28.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7add7039-498c-4df0-a2ac-d9fd44bbda38"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment yield data","version":1.0,"view":["public","emmben"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Reading"],"authorFamilyName":["Woodcock","Oliver","Newbold","Gweon","Roy","Pywell"],"authorFullName":["Woodcock, B.A.","Oliver, A.E.","Newbold, L.K.","Gweon, H.S.","Roy, D.B.","Pywell, R.F."],"authorGivenName":["B.A. ","A.E.","L.K.","H.S.","D.B.","R.F."],"authorOrcid":["0000-0003-0300-9951","0000-0003-4923-277X","0000-0001-8895-1406","0000-0002-6218-6301","0000-0002-5147-0331","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"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. \n\nWorking 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.\n\nThe Honey Monitoring Scheme is supported by national capability funding from UK Centre for Ecology & Hydrology under the ASSIST programme. ","documentType":"GEMINI_DOCUMENT","familyName":["Woodcock","Oliver","Newbold","Gweon","Roy","Pywell"],"fullName":["Woodcock, B.A.","Oliver, A.E.","Newbold, L.K.","Gweon, H.S.","Roy, D.B.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["B.A. ","A.E.","L.K.","H.S.","D.B.","R.F."],"grant":["NE/N018125/1"],"identifier":"e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","incomingCitationCount":0,"keyword":["United Kingdom","Agriculture","Biodiversity","Pollinators","Honey","DNA Metabarcoding","Forage plants","National Honey Monitoring Scheme","Assist","Apis mellifera","Honeybee","pollen","forage crop"],"keywordsOther":["Honey","DNA Metabarcoding","Forage plants","National Honey Monitoring Scheme","Assist","Apis mellifera","Honeybee","pollen","forage crop"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Agriculture","Biodiversity","Pollinators"],"licence":"Open government licence","lineage":"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. \n\nA 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)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:51:39.000Z","orcid":["0000-0003-0300-9951","0000-0003-4923-277X","0000-0001-8895-1406","0000-0002-6218-6301","0000-0002-5147-0331","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","doi:10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"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…","state":"published","supplementalDescription":["Oliver, A. E., Newbold, L. K., Gweon, H. S., Read, D. S., Woodcock, B. A., & Pywell, R. F. (2021). Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme. In MethodsX (Vol. 8, p. 101303). Elsevier BV"],"supplementalName":["National Honey Monitoring Scheme website"],"temporalExtentText":"Data collected from 2019 to 2019","title":"Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019","topic":["0/Agriculture/","0/Biodiversity/","0/Pollinators/"],"version":1.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports quadrat based assessments within wheat crops of the occurrence of black grass (Alopecurus myosuroides) and other arable weeds.  This was undertaken at replicated points along a spatial sampling grid established on each field.  Sampling was undertaken from 2018-2021.\n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"d757cf85-f0fb-4c44-833b-ddd833c48aee","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2026-07-25T14:21:18.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d757cf85-f0fb-4c44-833b-ddd833c48aee"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment blackgrass & arable weed surveys","version":1.0,"view":["public","emmben"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/assist/documents"}