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Insect Conservation and Diversity, 7: 543-552."],"title":"Moth community and parasitoid data from a hedgerow cutting regime experiment in Cambridgeshire, England, 2011","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Rothamsted Research","Scottish Crop Research Institute","Central Science Laboratory"],"authorFamilyName":["Scott","Baker","Bell","Bennett","Birchall","Boffey","Bohan","Brooks","Browne","Champion","Clark","Daniels","Dewar","Fairfax","Firbank","Garner","Haughton","Hawes","Haylock","Heard","Hill","Horne","Hulmes","Mason","May","Norton","Nuttall","Osborne","Parish","Perry","Randle","Rossall","Rothery","Roy","Sands","Singer","Skellern","Squire","Thomas","Walker","Woiwod","Wood","Young"],"authorFullName":["Scott, R.J.","Baker, P.","Bell, D.","Bennett, S.","Birchall, C.","Boffey, C.W.H.","Bohan, D.A.","Brooks, D.R.","Browne, E.L.","Champion, G.T.","Clark, S.J.","Daniels, R.E.","Dewar, A.J.G.","Dewar, A.M.","Fairfax, C.M.","Firbank, L.G.","Garner, B.H.","Haughton, A.J.","Hawes, C.","Haylock, L.A.","Heard, M.S.","Hill, M.O.","Horne, S.L.","Hulmes, S.E.","Mason, N.S.","May, M.J.","Norton, L.R.","Nuttall, P.","Osborne, J.L.","Parish, A.M.","Perry, J.N.","Randle, Z.","Rossall, M.J.","Rothery, P.","Roy, D.B.","Sands, R.J.N.","Singer, E.J.","Skellern, M.P.","Squire, G.R.","Thomas, M.R.","Walker, J.H.","Walker, M.J.","Woiwod, I.P.","Wood, C.M.","Young, M.W."],"authorGivenName":["R.J.","P.","D.","S.","C.","C.W.H.","D.A.","D.R.","E.L.","G.T.","S.J.","R.E.","A.J.G.","A.M.","C.M.","L.G.","B.H.","A.J.","L.A.","M.S.","M.O.","S.L.","S.E.","N.S.","M.J.","L.R.","J.L.","J.N.","Z.","D.B.","R.J.N.","E.J.","M.P.","G.R.","M.R.","J.H.","I.P.","M.W."],"authorOrcid":["https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0003-2791-1763","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0003-2855-4673"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional beet crops. Measurements include species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology  (now the Centre for Ecology & Hydrology), the Institute of Arable Crops Research (now Rothamsted Research) and the Scottish Crop Research Institute, SCRI (now the James Hutton Institute). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape).","documentType":"GEMINI_DOCUMENT","familyName":["Wood","Scott","Baker","Bell","Bennett","Birchall","Boffey","Bohan","Brooks","Browne","Champion","Clark","Daniels","Dewar","Fairfax","Firbank","Garner","Haughton","Hawes","Haylock","Heard","Hill","Horne","Hulmes","Mason","May","Norton","Nuttall","Osborne","Parish","Perry","Randle","Rossall","Rothery","Roy","Sands","Singer","Skellern","Squire","Thomas","Walker","Woiwod","Young"],"fullName":["Wood, C.","Scott, R.J.","Baker, P.","Bell, D.","Bennett, S.","Birchall, C.","Boffey, C.W.H.","Bohan, D.A.","Brooks, D.R.","Browne, E.L.","Champion, G.T.","Clark, S.J.","Daniels, R.E.","Dewar, A.J.G.","Dewar, A.M.","Fairfax, C.M.","Firbank, L.G.","Garner, B.H.","Haughton, A.J.","Hawes, C.","Haylock, L.A.","Heard, M.S.","Hill, M.O.","Horne, S.L.","Hulmes, S.E.","Mason, N.S.","May, M.J.","Norton, L.R.","Nuttall, P.","Osborne, J.L.","Parish, A.M.","Perry, J.N.","Randle, Z.","Rossall, M.J.","Rothery, P.","Roy, D.B.","Sands, R.J.N.","Singer, E.J.","Skellern, M.P.","Squire, G.R.","Thomas, M.R.","Walker, J.H.","Walker, M.J.","Woiwod, I.P.","Wood, C.M.","Young, M.W."],"givenName":["Claire","R.J.","P.","D.","S.","C.","C.W.H.","D.A.","D.R.","E.L.","G.T.","S.J.","R.E.","A.J.G.","A.M.","C.M.","L.G.","B.H.","A.J.","L.A.","M.S.","M.O.","S.L.","S.E.","N.S.","M.J.","L.R.","J.L.","J.N.","Z.","D.B.","R.J.N.","E.J.","M.P.","G.R.","M.R.","J.H.","I.P.","M.W."],"identifier":"86cd1a60-64f1-4087-a9f1-a3d8a9f8f535","incomingCitationCount":2,"keyword":["Great Britain","England","Agriculture","crops","environmental impact","seedbank","functional groups","genetically modified herbicide-tolerant crops","sugar beet","maize","oilseed rape","trophic interactions","agro-ecology","The Institute of Terrestrial Ecology (ITE)","The Centre for Ecology & Hydrology (CEH)","The Institute of Arable Crops Research (IACR)","Rothamsted Research","Scottish Crop Research Institute (SCRI)","The James Hutton Institute (JHI)","soil","agronomy","trophic ecology","genetically modified organism","invertebrate","vegetation","biodiversity","weed","arable farming","herbicide"],"keywordsOther":["crops","environmental impact","seedbank","functional groups","genetically modified herbicide-tolerant crops","sugar beet","maize","oilseed rape","trophic interactions","agro-ecology","The Institute of Terrestrial Ecology (ITE)","The Centre for Ecology & Hydrology (CEH)","The Institute of Arable Crops Research (IACR)","Rothamsted Research","Scottish Crop Research Institute (SCRI)","The James Hutton Institute (JHI)","soil","agronomy","trophic ecology","genetically modified organism","invertebrate","vegetation","biodiversity","weed","arable farming","herbicide"],"keywordsPlace":["Great Britain","England"],"keywordsTheme":["Agriculture"],"licence":"Non-Open government licence","lineage":"Data were collected by a consortium of: the Institute of Terrestrial Ecology, ITE (now the Centre for Ecology & Hydrology, CEH), the Institute of Arable Crops Research (now Rothamsted Research, IACR) and the Scottish Crop Research Institute,SCRI. Data were collected for the four crops (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape) in the following areas: seedbank, vegetation in the crop, field edge vegetation, invertebrates.  Strict data entry and storage controls, data management controls and data analysis protocols were in place during the project. Key references: Refer to: The Farm Scale Evaluations of spring-sown genetically modified crops.  Papers of a Theme Issue.  Philosphical Transactions of the Royal Society of London, Series B, Vol. 358, Number 1439, 29th November 2003. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T13:31:09.000Z","orcid":["https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0003-2791-1763","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0003-2855-4673"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Rothamsted Research","Scottish Crop Research Institute","Central Science Laboratory","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-02-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1250165266343","CEH:EIDC::1250165266343","https://catalogue.ceh.ac.uk/id/86cd1a60-64f1-4087-a9f1-a3d8a9f8f535","10.5285/86cd1a60-64f1-4087-a9f1-a3d8a9f8f535","doi:10.5285/86cd1a60-64f1-4087-a9f1-a3d8a9f8f535"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional beet crops. Measurements include species counts in the following areas: weed seedbank, vegetation…","state":"published","supplementalName":["Archived version of DEFRA Farm-scale Evaluations website"],"title":"Farm scale evaluations of herbicide tolerant genetically modified crops - beet","topic":["0/Agriculture/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Sheffield","Embrapa - Instrumentation","Federal University of ABC"],"authorFamilyName":["Stowell","Torre-Neto","Kamienski"],"authorFullName":["Stowell, P.","Torre-Neto, A.","Kamienski, C."],"authorGivenName":["P.","A.","C."],"authorOrcid":["https://orcid.org/0000-0002-6930-0509","https://orcid.org/0000-0001-6475-1469","https://orcid.org/0000-0002-3087-9234"],"authorRor":["https://ror.org/05krs5044","https://ror.org/0482b5b22","https://ror.org/028kg9j04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily soil moisture estimates using prototype cosmic ray neutron sensors. The sensors were deployed in a centre-pivot irrigation site in the state of Bahia, Brazil, and measurements were taken hourly between June and December, 2023. \n\nThe dataset includes daily averages of volumetric water containment, which have been corrected for environmental effects.\n\n This dataset was created to study the potential for using distributed cosmic ray sensors to support data driven irrigation optimisation and is supported by NERC (NE/W004364/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Stowell","Torre-Neto","Kamienski"],"fullName":["Stowell, P.","Torre-Neto, A.","Kamienski, C."],"funder":["Natural Environment Research Council","FAPESP"],"givenName":["P.","A.","C."],"grant":["NE/W004364/1"],"identifier":"a2c87e47-6f85-4bee-9a54-ecb1bb5b3573","incomingCitationCount":0,"keyword":["Agriculture","cosmic-ray sensor","soil moisture","time series","hydrology","centre pivot irrigation"],"keywordsOther":["cosmic-ray sensor","soil moisture","time series","hydrology","centre pivot irrigation"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Soil moisture data collected on a prototype FiWare sensing platform. Corrections for background cosmic ray variations, air humidity and temperature were applied using weather station data from a co-deployed environmental monitoring station before being averaged over each day.","locations":["POLYGON((-45.602 -12.247, -45.602 -12.193, -45.397 -12.193, -45.397 -12.247, -45.602 -12.247))"],"metadataDate":"2026-06-29T16:08:31.000Z","orcid":["https://orcid.org/0000-0002-6930-0509","https://orcid.org/0000-0001-6475-1469","https://orcid.org/0000-0002-3087-9234"],"organisation":["University of Sheffield","Embrapa - Instrumentation","Federal University of ABC","NERC EDS Environmental Information Data Centre","Durham University"],"publicationDate":"2025-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a2c87e47-6f85-4bee-9a54-ecb1bb5b3573","10.5285/a2c87e47-6f85-4bee-9a54-ecb1bb5b3573","doi:10.5285/a2c87e47-6f85-4bee-9a54-ecb1bb5b3573"],"resourceType":"Dataset","rightsHolder":["Durham University"],"ror":["https://ror.org/05krs5044","https://ror.org/0482b5b22","https://ror.org/028kg9j04","https://ror.org/04xw4m193","https://ror.org/01v29qb04"],"shortenedDescription":"This dataset contains daily soil moisture estimates using prototype cosmic ray neutron sensors. The sensors were deployed in a centre-pivot irrigation site in the state of Bahia, Brazil, and measurements were taken hourly between June and December, 2023. \n\nThe dataset…","state":"published","title":"Soil moisture data obtained from prototype neutron probes at a centre-pivot irrigation site, Bahia state, Brazil, 2023","topic":["0/Agriculture/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Universiti Putra Malaysia","University of Cambridge","Wild Asia","IPB University, Bogor","Sinar Mas Agro Resources and Technology Research Institute","UK Centre for Ecology & Hydrology","IPB University","University of Oxford","Nottingham University"],"authorFamilyName":["Azhar","Wan Zaki","Harianja","Stone","Barrock","Buchori","Caliman","Drewer","Hidayat","Howlett","Siti Zulaikah","Jones","Luke","Naim","Popkin","Reiss-Woolever","Turner"],"authorFullName":["Azhar, B.","Wan Zaki, W.M.","Harianja, M.F.","Stone, J.","Barrock, I.","Buchori, D.","Caliman, J.","Drewer, J.","Hidayat, P.","Howlett, K.","Siti Zulaikah, A.J.","Jones, J.A.","Luke, S.H.","Naim, M.","Popkin, M.","Reiss-Woolever, V.J.","Turner, E.C."],"authorGivenName":["B.","W. M.","M.F.","J.","I.","D.","J-P.","P.","K.","A.J.","J.A.","S.H.","M.","V.J.","E.C."],"authorOrcid":["https://orcid.org/0000-0002-9607-6151","https://orcid.org/0000-0003-2151-4353","https://orcid.org/0000-0002-2843-0737","https://orcid.org/0000-0002-6263-6341","https://orcid.org/0000-0001-9507-6275","https://orcid.org/0000-0002-1020-9161","https://orcid.org/0000-0002-7331-7485","https://orcid.org/0000-0002-8335-5960","https://orcid.org/0000-0001-9508-171X","https://orcid.org/0000-0002-6905-4387","https://orcid.org/0000-0003-2715-2234"],"authorRor":["https://ror.org/02e91jd64","https://ror.org/013meh722","https://ror.org/05smgpd89","https://ror.org/00pggkr55","https://ror.org/052gg0110","https://ror.org/01ee9ar58"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes results from social and environmental surveys of 27 oil palm smallholders and farms in Selangor, Malaysia. Environmental data includes: information on size of plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy density, epiphyte cover, soil pH, soil moisture, palm herbivory and palm health. Social data includes information (all anonymised) on: plot area, number of palms, sociodemographic data, plantation management practices applied, knowledge and value assigned to wildlife, and yield. Data were collected from March to September 2022.","documentType":"GEMINI_DOCUMENT","familyName":["Azhar","Wan Zaki","Harianja","Stone","Barrock","Buchori","Caliman","Drewer","Hidayat","Howlett","Siti Zulaikah","Jones","Luke","Naim","Popkin","Reiss-Woolever","Turner"],"fullName":["Azhar, B.","Wan Zaki, W.M.","Harianja, M.F.","Stone, J.","Barrock, I.","Buchori, D.","Caliman, J.","Drewer, J.","Hidayat, P.","Howlett, K.","Siti Zulaikah, A.J.","Jones, J.A.","Luke, S.H.","Naim, M.","Popkin, M.","Reiss-Woolever, V.J.","Turner, E.C."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["B.","W. M.","M.F.","J.","I.","D.","J-P.","P.","K.","A.J.","J.A.","S.H.","M.","V.J.","E.C."],"grant":["BB/T012366/1"],"identifier":"81b02484-a87e-4a49-baba-678654059091","incomingCitationCount":0,"keyword":["Selangor","Banting","oil palm","smallholder","environment","soil","vegetation","crop","social"],"keywordsOther":["Selangor","Banting","oil palm","smallholder","environment","soil","vegetation","crop","social"],"licence":"Open government licence","lineage":"Environmental and social data were collected in a series of field campaigns, led by researchers from Universiti Putra Malaysia (UPM) and supported by University of Cambridge. \n\nEnvironmental data collection methods included visual inspection of plots to record cover of different crop types, and using handheld GPS units to record plantation boundaries and size of plantations. At four points distributed across the plantation and separated by 20m, we also made direct measurements of vegetation, palm and soil characteristics. These included field readings of canopy openness using a convex spherical densiometer, direct measures of vegetation height and cover (into categories by eye within a 3m x3m area), and field measures of soil pH and moisture using a Suplong probe. We also scored height, health, % epiphyte cover on the trunk, and level of herbivory by eye on the closest palm to each point. We also measured leaf litter depth.\n\nSocial data were collected through face to face interviews with smallholders, at a time convenient to the smallholders. Ethical permission for interviews were gained from the University of Cambridge Department of Psychology ethics board before work took place, no information was withheld from participants and full written consent was obtained in advance.\n\nData were entered digitally by field teams and returned to the University of Cambridge for quality and error checking, and to ensure a standard format.\n","locations":["POLYGON((101.282 2.387, 101.282 3.038, 101.861 3.038, 101.861 2.387, 101.282 2.387))"],"metadataDate":"2026-06-29T16:34:16.000Z","orcid":["https://orcid.org/0000-0002-9607-6151","https://orcid.org/0000-0003-2151-4353","https://orcid.org/0000-0002-2843-0737","https://orcid.org/0000-0002-6263-6341","https://orcid.org/0000-0001-9507-6275","https://orcid.org/0000-0002-1020-9161","https://orcid.org/0000-0002-7331-7485","https://orcid.org/0000-0002-8335-5960","https://orcid.org/0000-0001-9508-171X","https://orcid.org/0000-0002-6905-4387","https://orcid.org/0000-0003-2715-2234"],"organisation":["Universiti Putra Malaysia","University of Cambridge","Wild Asia","IPB University, Bogor","Sinar Mas Agro Resources and Technology Research Institute","UK Centre for Ecology & Hydrology","IPB University","University of Oxford","Nottingham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/81b02484-a87e-4a49-baba-678654059091","10.5285/81b02484-a87e-4a49-baba-678654059091","doi:10.5285/81b02484-a87e-4a49-baba-678654059091"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/02e91jd64","https://ror.org/013meh722","https://ror.org/05smgpd89","https://ror.org/00pggkr55","https://ror.org/052gg0110","https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes results from social and environmental surveys of 27 oil palm smallholders and farms in Selangor, Malaysia. Environmental data includes: information on size of plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy…","state":"published","title":"Socioecological data from smallholder oil palm plantations in Selangor, Peninsular Malaysia, 2022","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University"],"authorFamilyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"authorFullName":["Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A."],"authorGivenName":["S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of plant structural plant community measurements from fifteen sites located in the Conwy catchment (North Wales) and from two sites in North West England. Annual aboveground net primary productivity (NPP), canopy height (cht), bryophyte cover (Bcov), leaf dry matter content (LDMC), leaf mass area (LMA) and specific leaf area (SLA) were measured on the dominant plant species. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Plots within the sites were located using a stratified random sampling design. Plant trait values were taken from existing published databases or were directly measured in each plot for the two species contributing the highest percentage cover.\n\nNPP (grams of dry mass per square metre per year) was measured using a variety of methods according to the plant functional types present. SLA and LDMC was measured on site focussing on the dominant vascular plant species in each plot defined as the two species contributing maximum standing biomass in the year of sampling. Leaf area was calculated based on scanned photographs analysed using Image J software v1.46r.\n\nPlant parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model.\n\nMeasurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University.\nThis data was collected for the NERC project - The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"fullName":["Smart, S.","Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A."],"funder":["Natural Environment Research Council"],"givenName":["Simon","S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A."],"grant":["NE/J011991/1"],"identifier":"8899768c-cc5a-4885-a88b-c08374ee568e","incomingCitationCount":2,"keyword":["North Wales ","Conwy Catchment ","North West England","Ingleborough","Turf2Surf ( T2S)","Macronutrient Cycling Programme (MCP)","Land use intensification gradient","Catchment scale","net primary productivity","aboveground net primary productivity","watershed","land use","canopy height","bryophytes cover","leaf dry matter content","specific leaf area","leaf mass area"],"keywordsOther":["Land use intensification gradient","Catchment scale","net primary productivity","aboveground net primary productivity","watershed","land use","canopy height","bryophytes cover","leaf dry matter content","specific leaf area","leaf mass area"],"keywordsPlace":["North Wales ","Conwy Catchment ","North West England","Ingleborough"],"keywordsProject":["Turf2Surf ( T2S)","Macronutrient Cycling Programme (MCP)"],"licence":"Open government licence","lineage":"At the seventeen sites measurements were made in plots ranging in size from 200 metres square to 0.5 metres square located using a stratified random sampling design. The species composition and percentage cover of all plant species was recorded in all plots.\n\nNPP (grams dry mass per metre squared per year) was measured on all dominant plant species at all sites between 2013 and 2014. Measurement of NPP varied according to the plant functional types present. These types comprised 'cool season' C3 graminoids (Poacaea, Junacaea, Cyperacaea), broadleaved and needle-leaved trees, dwarf shrubs, forbs and bryophytes. All plots were visited in early January at the start of each measurement year. Any green material and standing litter was removed by clipping to 1 cm vegetation height. In grazed systems (grasslands and mires) exclosures were installed and the vegetation cut twice throughout the growing season; first at estimated peak biomass and a second time to capture late summer and autumn regrowth. These two values were then summed. In ombrotrophic and minerotrophic peatlands, growth of Sphagnum species was measured over two years using the cranked wire method. Peatland graminoids were measured by harvesting annual biomass accumulation in exclosures over one year using the same methods applied to grazed grasslands. Annual productivity of dwarf shrub heath (Calluna vulgaris) was estimated from a growth curve built from total biomass harvests all carried out in October 2014 on the same ombrogenous mire plateau in the upper Conwy valley. Sampling was carried out across a chronosequence of stands of 5, 11 and 30 year-old Calluna.\n\nIn woodlands, different methods were used to measure annual production of trees; litter buckets for leaf litter fall, annual woody mass increment by combining tree-coring, DBH (tree diameter at 1.3 m), wood density and tree height measurements, herbaceous understorey growth by harvesting in one year after cutting back in January and the bryophyte layer by harvesting the moss mat that had grown through coarse plastic meshes of known size pegged securely onto the moss layer in early January and harvested after one year. Measurement of NPP was carried out using plots of varying dimensions scaled to the size of the plant types present but then expressed as production per square metre across all vegetation types.\n   \nFor plant traits in situ measurement of SLA and LDMC was carried out focussing on the dominant vascular plant species in each plot defined as the two species contributing maximum standing biomass in the year of sampling.  LDMC was measured by weighing fresh material consisting of between approximately 10 to several hundred leaves from different plants depending on the size of the leaves. Leaf material was stored in plastic boxes between dampened tissue paper and transported to the laboratory within 24 hours of harvesting. Leaves were then blotted dry and weighed fresh then dried for 24 hours at 80 degrees Celsius and weighed again. LDMC is expressed as g dry mass g-1 fresh mass. SLA was measured by sampling 10 leaves from different plants. Leaf area was calculated based on scanned photographs analysed using the Image J software v1.46r (See Supporting Information). Dry weight was measured as for LDMC. SLA is expressed as square millimetres per milligram of dry mass.\n\nLMA was determined on ten leaves that were scanned or photographed. The dry weight of these leaves was determined. The leaf area was analysed using the program Image J and LMA was calculated.\n\nFor plant species abundance in each NPP plot all vascular plant species and bryophytes were identified and cover estimated in intervals of 5 percent. Percentage cover was based on horizontal leaf projection over the plot so that total cover over all species was allowed to exceed 100. \n\nMean abundance-weighted trait values for SLA and LDMC were computed for each NPP sampling plot within each site using either the raw percentage cover or square-root transformed cover value for each species in each sample plot within each site. The trait values for each species in each sample plot and within site were based either on replicated measurements on the dominant plants in each plot or, if not dominants, then were extracted from the databases described above. The full details are available in the supporting documentations.\n\nAll results were entered into Excel spreadsheets. Results from all the analyses were combined into one Excel spreadsheet. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the EIDC.","locations":["POLYGON((-4.035 52.935, -4.035 54.201, -2.311 54.201, -2.311 52.935, -4.035 52.935))"],"metadataDate":"2026-06-29T16:25:19.000Z","orcid":["https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8899768c-cc5a-4885-a88b-c08374ee568e","10.5285/8899768c-cc5a-4885-a88b-c08374ee568e","doi:10.5285/8899768c-cc5a-4885-a88b-c08374ee568e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of plant structural plant community measurements from fifteen sites located in the Conwy catchment (North Wales) and from two sites in North West England. Annual aboveground net primary productivity (NPP), canopy height (cht), bryophyte cover (Bcov),…","state":"published","supplementalDescription":["Guidance on the interpretation of the Biodiversity Broad Habitat Classification (terrestrial and freshwater types): Definitions and the relationship with other classifications (2000)","Chave, J., Coomes, D., Jansen, S., Lewis, S. L., Swenson, N. G. and Zanne, A. E. (2009), Towards a worldwide wood economics spectrum. Ecology Letters, 12: 351-366","Clymo, R. (1970). The Growth of Sphagnum: Methods of Measurement. Journal of Ecology, 58(1), 13-49. ","Coomes, DA, Allen, RB (2007) Effects of size, competition and altitude on tree growth. J.Ecol. 95, 1084-1097.","Kivimäki, S.K. (2011) Changes in carbon and nitrogen dynamics in Sphagnum capillifolium under enhanced nitrogen deposition. PhD thesis. University of Edinburgh.","Weiner, J, Thomas, SC (2001) The nature of tree growth and the \"Age-Related Decline in Forest Productivity\". Oikos 94, 374-376."],"supplementalName":["T2S website","Biodiversity Broad Habitat Classification"],"title":"Plant structural measurements in North Wales and Northwest England 2013 and 2014","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Ormsby","Woodford","Fellows","White","Quilliam"],"authorFullName":["Ormsby, M.","Woodford, L.","Fellows, R.","White, H.","Quilliam, R."],"authorGivenName":["Michael","Luke","Rosie","Hannah","Richard"],"authorOrcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0003-2530-2120","https://orcid.org/0009-0003-8928-2189","https://orcid.org/0000-0001-9842-7798","https://orcid.org/0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial concentration (CFU/ml). Data were sampled over defined periods using culture-based approaches.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","Woodford","Fellows","White","Quilliam"],"fullName":["Michael Ormsby","Ormsby, M.","Woodford, L.","Fellows, R.","White, H.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["Michael","Luke","Rosie","Hannah","Richard"],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"abbc69c2-b799-4892-a339-fb1ffa4ea2f0","incomingCitationCount":0,"keyword":["Environmental risk","Water quality","Plastisphere","Biofilm","Wastewater","E. coli O157","AMR"],"keywordsOther":["Plastisphere","Biofilm","Wastewater","E. coli O157","AMR"],"keywordsTheme":["Environmental risk","Water quality"],"licence":"Open government licence","lineage":"Data were generated through laboratory experiments investigating the persistence,  and survival of a clinically relevant strain of E. coli. Bacteria were cultured on materials (Banana Leaf and HDPE) and analysed for persistence over time. Materials (Banana Leaf and HDPE) were prepared and inoculated under controlled laboratory conditions. E. coli strains were inoculated onto materials in nutrient-rich and surface water environments. Sampling was taken at defined time points (7, 14, 21, 28 days).  The experiments utilised standard laboratory equipment such as 96-well plates and incubators. Instrumentation used for bacterial enumeration, including the plate reader, was calibrated according to standard laboratory protocols. The data underwent rigorous quality control through replication (biological triplicates), statistical analysis (ANOVA), and controlled experimental conditions (e.g., temperature and material consistency). Statistical methods including ANOVA and Tukey’s post-hoc tests were applied to assess treatment effects and survival outcomes.\n","metadataDate":"2026-06-29T16:25:00.000Z","orcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0003-2530-2120","https://orcid.org/0009-0003-8928-2189","https://orcid.org/0000-0001-9842-7798","https://orcid.org/0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/abbc69c2-b799-4892-a339-fb1ffa4ea2f0","10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0","doi:10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial…","state":"published","title":"Colonisation rates of E. coli on plastic and banana leaf under simulated environmental conditions","topic":["0/Environmental risk/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","University of Melbourne"],"authorFamilyName":["Littleton","Dooley","Webb","Harper","Powell","Nicholls","Meinshausen","Lenton"],"authorFullName":["Littleton, E.","Dooley, K.","Webb, G.","Harper, A.B.","Powell, T.","Nicholls, Z.","Meinshausen, M.","Lenton, T.M."],"authorGivenName":["E.","K.","G.","A.B.","T.","Z.","M.","T.M."],"authorOrcid":["https://orcid.org/0000-0001-5576-5498","https://orcid.org/0000-0001-5636-6691","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-4767-2723","https://orcid.org/0000-0003-4048-3521","https://orcid.org/0000-0002-6725-7498"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/01ej9dk98"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The data are fractional coverage of plant functional/surface types, carbon content in vegetation, carbon content in soil. The data are the result of simulations conducted in the JULES land surface model, of several complementary pathways for increasing forest coverage and forest density during the 21st century. \n\nA historical simulation covering 1880-2000 is included, followed by seven future simulations for the main simulation period of 2001-2100. This is followed by an extended run for 50 further years based on 2090s climate.\n\nDriven by Representative Concentration Pathway (RCP2.6) climatology at N96 resolution (1.25 deg latitude, 1.875 deg longitude).","documentType":"GEMINI_DOCUMENT","familyName":["Littleton","Dooley","Webb","Harper","Powell","Nicholls","Meinshausen","Lenton"],"fullName":["Littleton, E.","Dooley, K.","Webb, G.","Harper, A.B.","Powell, T.","Nicholls, Z.","Meinshausen, M.","Lenton, T.M."],"funder":["Natural Environment Research Council"],"givenName":["E.","K.","G.","A.B.","T.","Z.","M.","T.M."],"grant":["NE/P019951/1"],"identifier":"6683abd8-1368-495c-9eb3-726c6c559e7e","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change","ecosystem restoration","land based mitigation","natural climate solutions","dynamic global vegetation modelling","agroforestry","reforestation","forest management","restoration","nature-based solution","modelling","soil"],"keywordsOther":["ecosystem restoration","land based mitigation","natural climate solutions","dynamic global vegetation modelling","agroforestry","reforestation","forest management","restoration","nature-based solution","modelling","soil"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"The data are model output produced for the purpose of quantifying carbon sequestration potential of reforestation, forest restoration and agroforestry. Output by the JULES model, raw netCDF output, driven with climate from RCP2.6.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T16:10:45.000Z","orcid":["https://orcid.org/0000-0001-5576-5498","https://orcid.org/0000-0001-5636-6691","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-4767-2723","https://orcid.org/0000-0003-4048-3521","https://orcid.org/0000-0002-6725-7498"],"organisation":["University of Exeter","University of Melbourne","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6683abd8-1368-495c-9eb3-726c6c559e7e","10.5285/6683abd8-1368-495c-9eb3-726c6c559e7e","doi:10.5285/6683abd8-1368-495c-9eb3-726c6c559e7e"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/01ej9dk98","https://ror.org/04xw4m193"],"shortenedDescription":"The data are fractional coverage of plant functional/surface types, carbon content in vegetation, carbon content in soil. The data are the result of simulations conducted in the JULES land surface model, of several complementary pathways for increasing forest coverage…","state":"published","title":"Vegetation cover, vegetation carbon content and soil carbon content under five ecosystem restoration pathways for the 21st century modelled using JULES","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["School of Geographical & Earth Sciences, University of Glasgow","Faculty of Natural Sciences, University of Stirling"],"authorFamilyName":["Zheng","Naylor","Waldron","Oliver"],"authorFullName":["Zheng, Y.","Naylor, L.","Waldron, S.","Oliver, D."],"authorGivenName":["Y.","L.","S.","D."],"authorOrcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise results of social surveys carried out in China during 2016 – 2018 to the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in Puding County, Guizhou Province and in Yujiang County, Jiangxi Province.\n\nThe study was funded by the grant NE/N007425/1 which was awarded by the UK Natural Environment Research Council (NERC), and through cooperation with grant 41571130074 awarded by the National Natural Science Foundation (NSFC) of China, as part of the UK – China Critical Zone Observatory (CZO).","documentType":"GEMINI_DOCUMENT","familyName":["Zheng","Naylor","Waldron","Oliver"],"fullName":["Zheng, Y.","Naylor, L.","Waldron, S.","Oliver, D."],"funder":["Natural Environment Research Council"],"givenName":["Y.","L.","S.","D.","Ying"],"grant":["NE/N007425/1"],"identifier":"9c14948d-cf58-4194-9fef-c2cb56818667","incomingCitationCount":2,"keyword":["China","Jiangxi Province","Guizhou Province","Environmental survey","social survey"],"keywordsOther":["social survey"],"keywordsPlace":["China","Jiangxi Province","Guizhou Province"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The surveys were conducted to local stakeholders from four levels of governance (county leaders, town leaders, village leaders and individual farmers). The surveyed towns and villages were identified by Chinese research team as locations within or surrounding the studied catchments in the wider CZO program.\n \nQuestionnaires were used as one of the key methods to fulfil the survey aims. Both closed and open-ended questions were designed for all groups. The number of questionnaires completed in each village was dependent on its population. Information of each survey is detailed in the Supporting Information. Different landscapes and a number of villages were surveyed to improve the rigorous of the searching results.\n\nVerbal consent was obtained prior to commencing all interviews. To meet the requirements of the Environmental Information Data Centre the result document was anonymised and converted into Rich Text Format (rtf).\n","locations":["POLYGON((98.59 22.452, 98.59 32.08, 114.676 32.08, 114.676 22.452, 98.59 22.452))"],"metadataDate":"2026-06-29T16:29:26.000Z","orcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X"],"organisation":["School of Geographical & Earth Sciences, University of Glasgow","Faculty of Natural Sciences, University of Stirling","University of Glasgow","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-11-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9c14948d-cf58-4194-9fef-c2cb56818667","10.5285/9c14948d-cf58-4194-9fef-c2cb56818667","doi:10.5285/9c14948d-cf58-4194-9fef-c2cb56818667"],"resourceType":"Dataset","ror":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise results of social surveys carried out in China during 2016 – 2018 to the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in…","state":"published","supplementalDescription":["UK – China Critical Zone Observatory (CZO)"],"title":"Stakeholder surveys to local farmers and officials in Chinese villages to understand knowledge management dynamics","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Metcalf","White","Ormsby","Oliver","Quilliam"],"authorFullName":["Metcalf, R.","White, H.L.","Ormsby, M.","Oliver, D.","Quilliam, R."],"authorGivenName":["R.","H.L.","M.","D."],"authorOrcid":["https://orcid.org/0000-0002-1463-427X","https://orcid.org/0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This resource holds survival data of human pathogens bound to microplastics during transfer through the freshwater-marine continuum. The survival of Escherichia coli, Enterococcus faecalis and Pseudomonas aeruginosa colonising polyethylene or glass particles was quantified in mesocosm incubation experiments designed to simulate, (1) the direct release of microplastics from wastewater treatment plants (WWTPs) into freshwater and seawater environments; and (2) the movement of microplastics downstream following discharge from the WWTP through the river-estuary-marine-beach continuum. Background bacterial concentrations and crystal violet were also measured. ","documentType":"GEMINI_DOCUMENT","familyName":["Metcalf","White","Ormsby","Oliver","Quilliam"],"fullName":["Metcalf, R.","White, H.L.","Ormsby, M.","Oliver, D.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["R.","H.L.","M.","D."],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"c31c0b2a-ee5b-479f-84c3-ff1b0bfc6d84","incomingCitationCount":0,"keyword":["human health","plastic pollution","plastisphere","sewage","sewage discharge","wastewater management","waste water treatment","Enterococcus faecalis","Pseudomonas aeruginosa","Escherichia coli"],"keywordsOther":["human health","plastic pollution","plastisphere","sewage","sewage discharge","wastewater management","waste water treatment","Enterococcus faecalis","Pseudomonas aeruginosa","Escherichia coli"],"licence":"Open government licence","lineage":"Selective media were used to quantify the concentrations of the target bacteria colonising the different particles throughout the experiment. Crystal violet was used to determine the amount of biofilm colonising the different particles. Colony forming (CFU) counts were normalised by transforming to log10 CFU per 40 particles. \n\nSalinity, electrical conductivity (EC) and turbidity were measured with, a salinity refractometer (RGBS), HI2550 EC meter and HI88703 turbidimeter respectively (Hanna Instruments, UK).\n\n","metadataDate":"2026-06-29T18:30:52.000Z","orcid":["https://orcid.org/0000-0002-1463-427X","https://orcid.org/0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c31c0b2a-ee5b-479f-84c3-ff1b0bfc6d84","10.5285/c31c0b2a-ee5b-479f-84c3-ff1b0bfc6d84","doi:10.5285/c31c0b2a-ee5b-479f-84c3-ff1b0bfc6d84"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This resource holds survival data of human pathogens bound to microplastics during transfer through the freshwater-marine continuum. The survival of Escherichia coli, Enterococcus faecalis and Pseudomonas aeruginosa colonising polyethylene or glass particles was quantified…","state":"published","title":"Survival data of human pathogens on plastics during transfer downstream in a simulated freshwater-marine continuum","version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Scholefield","Neal","Rowland","Chaplow","Sleep"],"authorFullName":["Scholefield, P.A.","Neal, C.","Rowland, A.P.","Chaplow, J.S.","Sleep, D."],"authorGivenName":["P.A.","C.","A.P.","J.S.","D."],"authorOrcid":["https://orcid.org/0000-0003-2974-6431","https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-2642-6240"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Water quality data from 26 Ribble and Wyre river basin sites in north west England. Samples were analysed for major solutes, pH, Gran alkalinity, trace metals, mercury and chlorophyll.","documentType":"GEMINI_DOCUMENT","familyName":["Scholefield","Neal","Rowland","Chaplow","Sleep"],"fullName":["Scholefield, P.","Scholefield, P.A.","Neal, C.","Rowland, A.P.","Chaplow, J.S.","Sleep, D."],"givenName":["Paul","P.A.","C.","A.P.","J.S.","D."],"identifier":"b4b44b04-bfd0-40ca-b60a-681018eb78ce","incomingCitationCount":0,"keyword":["Ribble","Wyre","Ribble estuary","Burnley","Blackburn","Preston","South Blackpool","Pennines","Water quality","analytical chemistry","catchment","freshwater"],"keywordsOther":["analytical chemistry","catchment","freshwater"],"keywordsPlace":["Ribble","Wyre","Ribble estuary","Burnley","Blackburn","Preston","South Blackpool","Pennines"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Water samples were collected from bridges using a weighted polypropylene sampler. In the field, water temperature was directly recorded at the times of sampling and notes taken on weather, field conditions and water height. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:10:41.000Z","orcid":["https://orcid.org/0000-0003-2974-6431","https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-2642-6240"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2013-07-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b4b44b04-bfd0-40ca-b60a-681018eb78ce","10.5285/b4b44b04-bfd0-40ca-b60a-681018eb78ce","doi:10.5285/b4b44b04-bfd0-40ca-b60a-681018eb78ce"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Water quality data from 26 Ribble and Wyre river basin sites in north west England. Samples were analysed for major solutes, pH, Gran alkalinity, trace metals, mercury and chlorophyll.","state":"published","supplementalDescription":["Neal, C., Bowes, M., Jarvie, H. P., Scholefield, P., Leeks, G., Neal, M., ...Davies, C. E. (2012). Lowland river water quality: a new UK data resource for process and environmental management analysis. Hydrological Processes, 26(6), 949-960.","Neal, C., Rowland, P., Scholefield, P., Vincent, C., Woods, C., & Sleep, D. (2011). The Ribble/Wyre observatory: Major, minor and trace elements in rivers draining from rural headwaters to the heartlands of the NW England historic industrial base. Science of The Total Environment, 409(8), 1516-1529"],"title":"Water quality data from the Ribble and Wyre catchments 2008-2010","topic":["0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2023 (note that 2017 was a pilot year and has less data than subsequent years, and that the survey first became active in Northern Ireland in 2021, which was a pilot year in that country).\n\nThis survey uses pan traps positioned on transects within a randomly allocated set of 1 km squares across the UK. The sample data contains information on the location of the traps, various environmental variables, and the total number of insect specimens collected. The occurrence data for insects contains records of all hoverflies and bees from the traps, identified (wherever possible) to species level. The occurrence data for flowers contains records of all forbs that are in flower within 2 metres of each pan-trap station. (In addition, Flower-Insect Timed Counts are carried out in the same 1 km squares, see separate dataset for these data.)\n\nUK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2023: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Buglife, Hymettus, Natural History Museum, the University of Reading and University of Leeds.\n\nPoMS Steering Group members up to 2023 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, and National Biodiversity Network.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme"],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs","Scottish Government","Welsh Government","Joint Nature Conservation Committee","Department of Agriculture, Environment and Rural Affairs for Northern Ireland","UK Centre for Ecology & Hydrology"],"grant":["NE/Y006208/1"],"identifier":"5841bfae-471b-498c-af89-c30e5140d6c5","incomingCitationCount":0,"keyword":["Biodiversity","Pollinators","Ecosystem services","bee","beetle","dipteran","biological monitoring","insect","butterfly","environmental monitoring","ecosystem services"],"keywordsOther":["bee","beetle","dipteran","biological monitoring","insect","butterfly","environmental monitoring","ecosystem services"],"keywordsTheme":["Biodiversity","Pollinators","Ecosystem services"],"licence":"Open government licence","lineage":"Data are collected by PoMS volunteers and staff from up to 95 1 km squares, during four visits each summer, aiming for one visit during suitable weather approximately every month from May to September. There will be gaps in the data where a square cannot be visited during a particular year or month. At each visit, five pan-traps are positioned in a transect across the 1 km square, and left in position for approx. six hours. The insects trapped are returned to the PoMS laboratory, where all insects are sorted into main taxonomic groupings and counted, and all bees and hoverflies are passed to taxonomic experts for identification to species level where possible.\n\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided that show plants in flower in the vicinity of the pan-traps; bee and hoverfly identifications are cross-checked by multiple taxonomists for all rare and apparently out-of-range occurrences, plus a random sample of other occurrences. The data is then processed through R to highlight and correct potential errors (the code for this is available in the metadata).\n\nMartin Harvey is the PoMS co-ordinator at UKCEH and the first point of contact for queries via the poms@ceh.ac.uk email. Claire Carvell is the project manager for PoMS, also based at UKCEH Wallingford and responsible for strategic direction, overseeing delivery of the surveys, data management and reporting, and liaising with JNCC and other partners. Nadine Mitschunas leads the field team with Chris Andrews and Angus Garbutt, and Francesca Mancini leads on statistical analysis of PoMS data, with Robin Hutchinson working on data management and communications. Other UKCEH team members are Nick Isaac, Lucy Ridding, Marc Botham and Helen Roy, and our partners are represented by Richard Comont (BCT), Richard Fox and Megan Lowe (BC), Dawn Balmer and Rob Jaques (BTO), Rachel Richards and Jamie Robins (Buglife), Paul Lee and Rowan Edwards (Hymettus), Mike Garratt and Simon Potts (Reading University), Bill Kunin (Leeds University) and Alfried Vogler (Natural History Museum).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T11:36:52.000Z","organisation":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5841bfae-471b-498c-af89-c30e5140d6c5","10.5285/5841bfae-471b-498c-af89-c30e5140d6c5","doi:10.5285/5841bfae-471b-498c-af89-c30e5140d6c5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05tzsrw37","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2023 (note that 2017 was a pilot year and has less data than subsequent years, and that…","state":"published","title":"Pan trap survey data from the UK Pollinator Monitoring Scheme, 2017-2023","topic":["0/Biodiversity/","0/Pollinators/","0/Ecosystem services/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["https://orcid.org/0000-0002-9882-6972","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["Hilary","H.","A.","M."],"grant":["NE/J015644/1"],"identifier":"c726249f-c2d8-4aeb-9af2-60a40de40be2","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","pH","grassland","soil","salt marsh"],"keywordsOther":["pH","grassland","soil","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Soil pH was measured from within each 1metre (m) x 1m quadrat using a combined pH/electrical conductivity probe. The location of the sample sites was determined by randomly allocated quadrats. Results were recorded onto field sheets. These data were transferred into an Excel file. Results were exported as comma separated value files for ingestion into the EIDC. Each site consisted of a rectangular area of saltmarsh between 400 x 500 m to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-06-29T18:31:04.000Z","orcid":["https://orcid.org/0000-0002-9882-6972","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c726249f-c2d8-4aeb-9af2-60a40de40be2","10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2","doi:10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil pH on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford","State University of New York Downstate"],"authorFamilyName":["Erezyilmaz","Lu"],"authorFullName":["Erezyilmaz, D.F.","Lu, K."],"authorGivenName":["D.F.","K. "],"authorOrcid":["https://orcid.org/0000-0001-8416-8561"],"authorRor":["https://ror.org/052gg0110","https://ror.org/01q1z8k08"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset presents data on female mate choice totals for different species pair combinations. Data are presented for wild types and inbred lines of  Drosophila simulans and Drosophilia sechellia females. Most of the data was generated in a laboratory at Stony Brook University, with some at Oxford University. Each test was conducted in 28.5 x 95mm plastic vials.\n\nData was collected at different points between 2014 and 2021 by the lead data author.\n\nThe work was conducted on mate choice preferences to determine how preferences vary between strains, species and among hybrids.\n\nWork was funded under NERC grant NERC NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization.\n","documentType":"GEMINI_DOCUMENT","familyName":["Erezyilmaz","Lu"],"fullName":["Erezyilmaz, D.F.","Lu, K."],"funder":["Natural Environment Research Council"],"givenName":["D.F.","K. "],"grant":["NE/S010351/1"],"identifier":"361621ad-6487-47a4-bf8b-00f78705e593","incomingCitationCount":0,"keyword":["Animal behaviour","Drosophila simulans","Drosophilia sechellia","animal behaviour"],"keywordsOther":["Drosophila simulans","Drosophilia sechellia","animal behaviour"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Three tester female were given the choice between D.  sechellia  and D. simulans males. Courting flies were watched for four hours. Once the first pair mated, the vial was moved to -20C until the copulating pair was frozen. The male species was determined by examining the male genitalia, which is distinct for  D.  sechellia  and D. simulans males.","metadataDate":"2026-06-29T18:25:23.000Z","orcid":["https://orcid.org/0000-0001-8416-8561"],"organisation":["NERC EDS Environmental Information Data Centre","University of Oxford","State University of New York Downstate"],"publicationDate":"2022-07-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/361621ad-6487-47a4-bf8b-00f78705e593","10.5285/361621ad-6487-47a4-bf8b-00f78705e593","doi:10.5285/361621ad-6487-47a4-bf8b-00f78705e593"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/04xw4m193","https://ror.org/052gg0110","https://ror.org/01q1z8k08"],"shortenedDescription":"The dataset presents data on female mate choice totals for different species pair combinations. Data are presented for wild types and inbred lines of  Drosophila simulans and Drosophilia sechellia females. Most of the data was generated in a laboratory at Stony Brook…","state":"published","title":"Assortative mating in Drosophila simulans and Drosophilia sechellia females","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorGivenName":["D.","A.","J.","N.","I.","R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly intervals and intermittently during periods of high flows. All sites were samples from early 1994 to the end of 1996 except for O12, which was sampled from November 1994 till November 1996. The sampling was carried out by the LOIS team at York University. The unfiltered samples were transported to the Institute of Terrestrial Ecology, Monks Wood, UK, where they were extracted with hexane, cleaned up by alumina column chromatography, concentrated and then analysed for CBs by Gas Chromatography-Mass Spectrometry (GC-MS) and PCBs and OCs by Gas Chromatography with Electron Capture Detection (GC-ECD).","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore"],"fullName":["Fry, M.","Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"givenName":["Matt","D.","A.","J.","N.","I.","R."],"identifier":"40ba6fd0-3d41-4520-8d78-cc8c893fd974","incomingCitationCount":0,"keyword":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsOther":["water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"licence":"Open government licence","lineage":"Prior to analysis the samples were stored in the dark at 4 degreesC. The sample (500ml) was transferred to a volumetric flask and extracted with 5 x 10ml aliquots of hexane. The hexane extract was transferred to a to a Kuderna-danish flask via a funnel containing anhydrous sodium sulphate and reduced to approx. 1.5ml at 80 degreesC. The extract was adjusted to exactly 1.0ml under a stream of nitrogen. The whole of the reduced extract was cleaned up on a glass column containing 0.8g of alumina deactivated with 5% water. The cleaned up extract was then reduced to 0.5ml under a stream of nitrogen. An internal standard was added (Dichlobenyl) and each extract split equally into two chromatography vials. Chlorobenzenes were analysed by GC-MS in select ion mode. Organochlorine pesticides and PCB congeners were analysed by GC-ECD. A spiked recovery and a sample blank were included with each batch of samples. The results were not corrected for recovery losses. Limits of detection were defined as the concentration of analyte that gives a signal twice that of the baseline noise. Blank sample bottles were taken into the field during sample collection and opened and closed on site. The blank bottles were extracted with 5 x 10ml of hexane and the hexane extracts analysed by the procedure used for the samples. Spiked recovery samples (hexane washed HPLC grade water, containing 0.5g of clean clay particles, spiked with all the analytes) were included in each batch. OCs and PCBs were identified by relative retention time. CBs were identified by relative retention time and ion ratios (3 ions). Calibration was by the internal standard method. A zip file of box-and-whisker plots for each determinand is available, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site to enable prospective users to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"metadataDate":"2026-06-29T16:53:56.000Z","organisation":["UK Centre for Ecology & Hydrology","University of York","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2013-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1373030045461","CEH:EIDC::1373030045461","https://catalogue.ceh.ac.uk/id/40ba6fd0-3d41-4520-8d78-cc8c893fd974","10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974","doi:10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly…","state":"published","title":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from rivers [LOIS]","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ca' Foscari University of Venice"],"authorFamilyName":["Tanguy","Dixon","Prosdocimi","Morris","Keller"],"authorFullName":["Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"authorGivenName":["M.","H.","I.","D.G.","V.D.J."],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X","https://orcid.org/0000-0003-4489-5363"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04yzxz566"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2019.\n\nThe rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day.\n\nThe CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Dixon","Prosdocimi","Morris","Keller"],"fullName":["Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"givenName":["Mailko","M.","H.","I.","D.G.","V.D.J."],"identifier":"dbf13dd5-90cd-457a-a986-f2f9dd97e93c","incomingCitationCount":9,"keyword":["United Kingdom","Flood and Droughts Digital Research Infrastructure (FDRI)","Climate and climate change","rainfall","CEH-GEAR"],"keywordsOther":["rainfall","CEH-GEAR"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Flood and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"The rainfall estimates are derived from the Met Office national database of observed precipitations. To derive the monthly estimates, monthly and daily (when complete month available) precipitation totals from the UK raingauge network are used. An additional quality control step (data already quality controlled by the Met Office) was introduced to check events greater than the 200 year return period. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall (SAAR61-90), was used to generate the daily and monthly rainfall grids. The daily grids are adjusted so that the monthly totals calculated from those are in agreement with the monthly grids. As an indicator of the quality of the estimates, the dataset also contains for each grid generated a grid containing the distance to the closest raingauge used to interpolate the grid point. A grid containing the number of missing estimates for each year is also provided. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.\n\nThis version of the CEH-GEAR dataset differs from the previous version (1890-2017) only by temporal coverage. That is, previous years' data have not been modified.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:17:00.000Z","orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X","https://orcid.org/0000-0003-4489-5363"],"organisation":["UK Centre for Ecology & Hydrology","Ca' Foscari University of Venice","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-11-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dbf13dd5-90cd-457a-a986-f2f9dd97e93c","10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c","doi:10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04yzxz566","https://ror.org/04xw4m193"],"shortenedDescription":"1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2019.\n\nThe rainfall estimates are derived from the Met Office national database of…","state":"published","title":"Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2019) [CEH-GEAR]","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Natural Environment Research Council","Centre for Ecology & Hydrology"],"authorFamilyName":["Ferraccioli","Gerard","Robinson","Jordan","Biszczuk","Ireland","Beasley","Vidamour","Barker","Arnold","Dinn","Fox","Howard"],"authorFullName":["Ferraccioli, F.","Gerard, F.","Robinson, C.","Jordan, T.","Biszczuk, M.","Ireland, L.","Beasley, M.","Vidamour, A.","Barker, A.","Arnold, R.","Dinn, M.","Fox, A.","Howard, A."],"authorGivenName":["F.","C.","T.","M.","L.","A.","R.","A. "],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/02b5d8509","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid"],"description":"This is a high resolution spatial dataset of Digital Terrain Model (DTM) data in South West England. The DTM along with a Digital Surface Model (DSM) cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DTM represents the topographic model (height) of the bare earth. The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project. There is also a Digital Surface Model (DSM) dataset covering the same areas available from the SW project.","documentType":"GEMINI_DOCUMENT","familyName":["Gerard","Ferraccioli","Robinson","Jordan","Biszczuk","Ireland","Beasley","Vidamour","Barker","Arnold","Dinn","Fox","Howard"],"fullName":["Gerard, F.","Ferraccioli, F.","Robinson, C.","Jordan, T.","Biszczuk, M.","Ireland, L.","Beasley, M.","Vidamour, A.","Barker, A.","Arnold, R.","Dinn, M.","Fox, A.","Howard, A."],"givenName":["F.","France","C.","T.","M.","L.","A.","R.","A. "],"identifier":"e2a742df-3772-481a-97d6-0de5133f4812","incomingCitationCount":6,"keyword":["Tamar catchment","Devon","South West England","UK","Tellus","South West project","Mapping","Soil"],"keywordsPlace":["Tamar catchment","Devon","South West England","UK"],"keywordsProject":["Tellus","South West project"],"keywordsTheme":["Mapping","Soil"],"licence":"Open government licence","lineage":"The British Antarctic Survey (BAS) acquired a new high resolution (circa 1 point/meter) and high accuracy (25 cm vertical) LiDAR dataset over Cornwall and Devon during the month of July and August 2013 for the Tellus South West project. The conversion of the raw LiDAR data into the digital terrain and surface model was carried out by the Environment Agency (contract). The spatial dataset consists of 2 cm height layers representing the terrain and surface height respectively at a spatial resolution of 1 m (grid cell) and an average height accuracy of 25 cm. The data is available as individual files representing sections of Ordnance Survey tiles in ESRI grid format (e.g. SX37ne; SX37nw; SX37se; SX37sw). ","locations":["POLYGON((-5.781 49.943, -5.781 51.281, -3.475 51.281, -3.475 49.943, -5.781 49.943))"],"metadataDate":"2026-06-27T18:12:04.000Z","orcid":["https://orcid.org/0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","Natural Environment Research Council","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-04-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["10.5285/e2a742df-3772-481a-97d6-0de5133f4812","doi:10.5285/e2a742df-3772-481a-97d6-0de5133f4812","1396607131134","CEH:EIDC::1396607131134","https://catalogue.ceh.ac.uk/id/e2a742df-3772-481a-97d6-0de5133f4812"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"This is a high resolution spatial dataset of Digital Terrain Model (DTM) data in South West England. The DTM along with a Digital Surface Model (DSM) cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West).…","state":"published","supplementalName":["Tellus South West Project website"],"title":"LiDAR based Digital Terrain Model (DTM) data for South West England","topic":["0/Mapping/","0/Soil/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"authorOrcid":["https://orcid.org/0000-0003-4494-7450","https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of stock (length) data for linear features across Great Britain in 1998 in a vector format. The data are national estimates generated by analysing the sample data from 569 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths per 1km square for seven different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M.","Claire"],"identifier":"6bc0ccb4-63c8-4121-bc4b-3c479877cff9","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","Mapping","hedges","walls","fences","banks","grass strips","tree lines"],"keywordsOther":["hedges","walls","fences","banks","grass strips","tree lines"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey","Mapping"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1998 and 1999 by surveyors. Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in 1998-2000. The digitized data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as mean lengths per 1km square.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:20:56.000Z","orcid":["https://orcid.org/0000-0003-4494-7450","https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","Natural Environment Research Council","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2014-11-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1409658139626","CEH:EIDC::1409658139626","https://catalogue.ceh.ac.uk/id/6bc0ccb4-63c8-4121-bc4b-3c479877cff9","10.5285/6bc0ccb4-63c8-4121-bc4b-3c479877cff9","doi:10.5285/6bc0ccb4-63c8-4121-bc4b-3c479877cff9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for linear features across Great Britain in 1998 in a vector format. The data are national estimates generated by analysing the sample data from 569 1km squares surveyed for the Countryside Survey long term monitoring project,…","state":"published","title":"Countryside Survey 1998 mapped estimates of linear feature lengths in Great Britain","topic":["0/Environmental survey/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham"],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"authorGivenName":["P.","Andrew","D.","G."],"authorOrcid":["https://orcid.org/0000-0002-3707-1182"],"authorRor":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. DSMs were generated as part of NERC project NE/L00738X/1. DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates.","documentType":"GEMINI_DOCUMENT","familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["P.","Andrew","D.","G."],"grant":["NE/L00738X/1"],"identifier":"13695138-227f-4d85-9049-0a9cba9e1867","incomingCitationCount":1,"keyword":["Canada ","Saskatchewan River","Modelling","digital land model","Digital Surface Models"],"keywordsOther":["digital land model","Digital Surface Models"],"keywordsPlace":["Canada ","Saskatchewan River"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"DSMs were constructed to provide information on the morphology or the river, and changes in morphology through time (e.g. due to erosion and deposition of sediment). DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates. \n\nThe DSM was constructed from photogrammetric quality aerial plane images with a 0.06m ground resolution that were captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. The DSM was constructed from the images using a three stage process:\n\n(1) An orthomosaic was generated from the aerial photography (using up to 160 images) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the 'large frame' supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. A point cloud was then derived following the bundle adjustment.\n\n(2) The point cloud was checked for residual tilt using a network of Ground Control Points with coordinates that were determined by RTK differential GPS survey. The corrected point cloud density was reduced to a resolution of 0.5 m and the resulting dataset was filtered in MATLAB using a Chauvenet-type criterion. This procedure was implemented to derive the DSM in dry (non-submerged) areas of the river.\n\n(3) In wet (submerged) areas, bed elevations were derived using a depth-brightness model as follows. First, water surface elevations at the interface between wet and dry areas of the river bed were extracted from the corrected point cloud and interpolated to generate a water surface elevation field for the submerged bed areas. Second, water depth measurements made at the time of image acquisition were located on the orthomosaic of the river, and pixel brightness values were extracted at these locations. A log-linear regression between water depth and pixel brightness was then derived, and this relationship was used to model water depth for all sub-merged bed areas. Bed elevations in these areas were determined by subtracting the predicted depth from the water surface elevation. The final DSM was derived by combining elevation values for the dry and wet bed areas.\n","locations":["POLYGON((-107 51.5, -107 51.6, -107.1 51.6, -107.1 51.5, -107 51.5))"],"metadataDate":"2026-06-29T18:09:41.000Z","orcid":["https://orcid.org/0000-0002-3707-1182"],"organisation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/13695138-227f-4d85-9049-0a9cba9e1867","10.5285/13695138-227f-4d85-9049-0a9cba9e1867","doi:10.5285/13695138-227f-4d85-9049-0a9cba9e1867"],"resourceType":"Dataset","ror":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing…","state":"published","title":"Digital Surface Models for the South Saskatchewan River, Canada","topic":["0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["British Geological Survey","National Oceanography Centre","Plymouth Marine Laboratory","UK Centre for Ecology & Hydrology","University of Southampton","University of the Highlands and Islands","Durham University"],"authorFamilyName":["Tye","Balfour","Bowes","Brown","Evans","Farr","Felgate","Hargreaves","Humphry","Kitidis","Lapworth","Martin","Mayor","Pearson","Nightingale","Pickard","Sanders","Spears","Stephens","Stinchcombe","Torres","Williamson","Woodward","Breimann","Burden","Callaghan","Dise","Gilbert","Gibb","Ives","Jürgens","Hughes","Lichtschlag","Mack","Mallin Martin","Mawji","Olszewska","Parkes","Pearce","Peel","Pugh","Rees","Worrall","Yarrow"],"authorFullName":["Tye, A.M.","Balfour, C.","Bowes, M.J.","Brown, I.","Evans, C.","Farr, G.","Felgate, S.","Hargreaves, G.","Humphry, O.S.","Kitidis, V.","Lapworth, D.J.","Martin, A.","Mayor, D.J.","Pearson, M.","Nightingale, P.","Pickard, A.","Sanders, R.","Spears, B.","Stephens, J.","Stinchcombe, M.","Torres, R.","Williamson, J.L.","Woodward, M.","Bowes, M.","Breimann, S.","Burden, A.","Callaghan, N.","Dise, N.","Gilbert, P.","Gibb, S.","Ives, S.","Jürgens, M.","Hughes, L.","Lichtschlag, A.","Mack, S.","Mallin Martin, D.","Mawji, E.","Olszewska, J.","Parkes, D.","Pearce, C.","Peel, K.","Pugh, J.","Rees, A.","Worrall, F.","Yarrow, D."],"authorGivenName":["A.M.","C.","M.J.","I.","G.","S.","O.S.","V.","D.J.","A.","M.","P.","R.","B.","J.","J.L.","N.","L.","D.","E.","K.","F."],"authorOrcid":["https://orcid.org/0000-0002-4653-7773","https://orcid.org/0000-0001-9241-8348","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-9955-4948","https://orcid.org/0000-0002-4361-6134","https://orcid.org/0000-0001-7776-7048","https://orcid.org/0000-0003-3949-3802","https://orcid.org/0000-0001-7838-7960","https://orcid.org/0000-0002-1202-8612","https://orcid.org/0000-0002-1295-0041","https://orcid.org/0000-0002-0295-9552","https://orcid.org/0000-0001-7177-5469","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-6884-7131","https://orcid.org/0000-0002-9035-2637","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0003-0463-6885","https://orcid.org/0000-0003-3882-338X","https://orcid.org/0000-0003-1702-2030","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0003-4308-6310","https://orcid.org/0000-0001-8281-2165","https://orcid.org/0000-0003-1615-8710","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0002-4382-2341","https://orcid.org/0000-0003-3070-3447","https://orcid.org/0000-0002-4139-1330"],"authorRor":["https://ror.org/04a7gbp98","https://ror.org/00874hx02","https://ror.org/05av9mn02","https://ror.org/00pggkr55","https://ror.org/01ryk1543","https://ror.org/02s08xt61","https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains monthly measurements of major and trace elements from 41 rivers around Great Britain. The samples were collected as part of the Land Ocean Carbon TransfEr (LOCATE) project during 2017 and they were analysed using Inductively coupled plasma mass spectrometry (ICP-MS). \n\nLOCATE was a multi-disciplinary NERC project that undertook coordinated sampling of the major rivers in Great Britain to establish how much carbon from soils is getting into rivers and estuaries and to determine what is happening to it. It involved the National Oceanography Centre, the British Geological Survey, the UK Centre for Ecology and Hydrology and the Plymouth Marine Laboratory, with assistance from the University of Lancaster, University of Durham, University of Hull, the University of the Highlands and Islands and the Environment Agency.\n","documentType":"GEMINI_DOCUMENT","familyName":["Tye","Balfour","Bowes","Brown","Evans","Farr","Felgate","Hargreaves","Humphry","Kitidis","Lapworth","Martin","Mayor","Pearson","Nightingale","Pickard","Sanders","Spears","Stephens","Stinchcombe","Torres","Williamson","Woodward","Breimann","Burden","Callaghan","Dise","Gilbert","Gibb","Ives","Jürgens","Hughes","Lichtschlag","Mack","Mallin Martin","Mawji","Olszewska","Parkes","Pearce","Peel","Pugh","Rees","Worrall","Yarrow"],"fullName":["Tye, A.M.","Balfour, C.","Bowes, M.J.","Brown, I.","Evans, C.","Farr, G.","Felgate, S.","Hargreaves, G.","Humphry, O.S.","Kitidis, V.","Lapworth, D.J.","Martin, A.","Mayor, D.J.","Pearson, M.","Nightingale, P.","Pickard, A.","Sanders, R.","Spears, B.","Stephens, J.","Stinchcombe, M.","Torres, R.","Williamson, J.L.","Woodward, M.","Bowes, M.","Breimann, S.","Burden, A.","Callaghan, N.","Dise, N.","Gilbert, P.","Gibb, S.","Ives, S.","Jürgens, M.","Hughes, L.","Lichtschlag, A.","Mack, S.","Mallin Martin, D.","Mawji, E.","Olszewska, J.","Parkes, D.","Pearce, C.","Peel, K.","Pugh, J.","Rees, A.","Worrall, F.","Yarrow, D."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","C.","M.J.","I.","G.","S.","O.S.","V.","D.J.","A.","M.","P.","R.","B.","J.","J.L.","N.","L.","D.","E.","K.","F."],"grant":["NE/N018087/1"],"identifier":"ef880531-08b3-477d-a69e-3b28beb562d2","incomingCitationCount":0,"keyword":["Great Britain","LOCATE","Water quality","Hydrology","rivers","terrestrial","estuary","ICP-MS"],"keywordsOther":["rivers","terrestrial","estuary","ICP-MS"],"keywordsPlace":["Great Britain"],"keywordsProject":["LOCATE"],"keywordsTheme":["Water quality","Hydrology"],"licence":"Open government licence","lineage":"One third of rivers in Great Britain were sampled, accounting for approximately 36 % of the catchment areas. For each river, a single visit was made once each month to collect water for analysis. Water was sampled using a bottle or bucket and then immediately filtered and/or decanted into other appropriate bottles, prior to being sent for analysis. Temperature was recorded immediately on sampled water. Conductivity was often done in situ but occasionally later in the laboratory if a field instrument was not available. The ICP-MS analysis used to measure major and trace elements is described in the Supporting Documentation. Additional information on weather and flow and state of river was also recorded. In addition to the precise location of the sampling point, the NRFA code, catchment area, land use, standardised annual rainfall, Base Flow Index, altitude and percentage of carbonate rocks in catchment are all provided in a separate file. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:04:14.000Z","orcid":["https://orcid.org/0000-0002-4653-7773","https://orcid.org/0000-0001-9241-8348","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-9955-4948","https://orcid.org/0000-0002-4361-6134","https://orcid.org/0000-0001-7776-7048","https://orcid.org/0000-0003-3949-3802","https://orcid.org/0000-0001-7838-7960","https://orcid.org/0000-0002-1202-8612","https://orcid.org/0000-0002-1295-0041","https://orcid.org/0000-0002-0295-9552","https://orcid.org/0000-0001-7177-5469","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-6884-7131","https://orcid.org/0000-0002-9035-2637","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0003-0463-6885","https://orcid.org/0000-0003-3882-338X","https://orcid.org/0000-0003-1702-2030","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0003-4308-6310","https://orcid.org/0000-0001-8281-2165","https://orcid.org/0000-0003-1615-8710","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0002-4382-2341","https://orcid.org/0000-0003-3070-3447","https://orcid.org/0000-0002-4139-1330"],"organisation":["British Geological Survey","National Oceanography Centre","Plymouth Marine Laboratory","UK Centre for Ecology & Hydrology","University of Southampton","University of the Highlands and Islands","Durham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ef880531-08b3-477d-a69e-3b28beb562d2","10.5285/ef880531-08b3-477d-a69e-3b28beb562d2","doi:10.5285/ef880531-08b3-477d-a69e-3b28beb562d2"],"resourceType":"Dataset","rightsHolder":["British Geological Survey"],"ror":["https://ror.org/04a7gbp98","https://ror.org/00874hx02","https://ror.org/05av9mn02","https://ror.org/00pggkr55","https://ror.org/01ryk1543","https://ror.org/02s08xt61","https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains monthly measurements of major and trace elements from 41 rivers around Great Britain. The samples were collected as part of the Land Ocean Carbon TransfEr (LOCATE) project during 2017 and they were analysed using Inductively coupled plasma mass…","state":"published","title":"Monthly measurements of major and trace elements in 41 rivers in Great Britain, 2017, from the LOCATE project","topic":["0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Forest Research","University College Dublin"],"authorFamilyName":["Mason","Ashwood","Schmidt","Cosby","Keith"],"authorFullName":["Mason, K.E.","Ashwood, F.","Schmidt, O.","Cosby, J.","Keith, A.M."],"authorGivenName":["K.E.","F.","O.","J.","A.M."],"authorOrcid":["https://orcid.org/0000-0003-3426-3178","https://orcid.org/0000-0001-7540-1712","https://orcid.org/0000-0003-0098-7960","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0001-9619-1320"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’).  These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891.  Source meta-data covers the type of quantitative earthworm data (i.e. incidence, abundance, biomass, taxa), methodological details (e.g. sampling method/s, location/s, whether sampled plots were natural or experimental, sampling year/s), and environmental information (e.g. habitat/land-use, inclusion of climate data and basic soil properties). Data sources were collected through literature searches on Web of Science and Google Scholar, as well as directly from original authors/data holders where possible.  The data sources were compiled with the aim of gathering quantitative data on earthworm species and populations to develop earthworm abundance and niche models, and toward a modelling framework for earthworm impacts on soil processes. \n\nThis work is part of the Soil Organic Carbon Dynamics (SOC-D) project funded by the NERC UK-SCAPE programme (Grant reference NE/R016429/1).","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Ashwood","Schmidt","Cosby","Keith"],"fullName":["Mason, K.E.","Ashwood, F.","Schmidt, O.","Cosby, J.","Keith, A.M.","Mason, K."],"funder":["Natural Environment Research Council"],"givenName":["K.E.","F.","O.","J.","A.M.","Kelly"],"grant":["NE/R016429/1"],"identifier":"1a1000a8-4e7e-4851-8784-94c7ba3e164f","incomingCitationCount":0,"keyword":["Biodiversity","Soil","Worm","UK","Ireland","Lumbricidae’","ecosystem engineer","earthworm"],"keywordsOther":["Worm","UK","Ireland","Lumbricidae’","ecosystem engineer","earthworm"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"A systematic literature search was conducted to find data sources using Web of Science and Google Scholar (in June/July 2020). This used the following search term: \n(Earthworm* OR Oligochaeta OR Annelid* OR Lumbric* OR Clitellat*) AND (Diversity OR “Species richness” OR “OTU” OR Abundance OR individual* OR Density OR “tax* richness” OR “Number” OR Richness OR Biomass) AND (UK OR “United Kingdom” OR England OR Wales OR Scotland OR “NI” OR “Northern Ireland” OR “Ireland” OR “ROI”) \nPublications were selected and meta-data recorded if they contained location information and the presence of at least one species of earthworm or abundance/biomass data obtained from the field.  Further publications were found through screening of review papers and contact with selected authors for additional information and resources, including published and unpublished datasets.  In total, 257 data sources were compiled.   Original sources (i.e. published papers, book chapters) could not be obtained for 17 studies at the time of compiling meta-data and are thus lacking any additional information. \n","locations":["POLYGON((-11.285 49.58, -11.285 60.861, 1.768 60.861, 1.768 49.58, -11.285 49.58))"],"metadataDate":"2026-06-30T16:37:36.000Z","orcid":["https://orcid.org/0000-0003-3426-3178","https://orcid.org/0000-0001-7540-1712","https://orcid.org/0000-0003-0098-7960","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0001-9619-1320"],"organisation":["UK Centre for Ecology & Hydrology","Forest Research","University College Dublin","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a1000a8-4e7e-4851-8784-94c7ba3e164f","10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f","doi:10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’).  These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891.  Source meta-data…","state":"published","title":"A compendium of earthworm data sources and associated information from the UK and Ireland, 1891-2021","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=3"}