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thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is produced by the Centre for Ecology & Hydrology and is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It covers Great Britain and Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Refer to the online supporting documentation and lineage statement for information regarding versions. \n\nThese are one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["D"],"identifier":"e02b4228-fdcf-4ab7-8d9d-d3a16441e23d","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on Ordnance Survey MasterMap (R)/Ordnance Survey Northern Ireland (OSNI) Large-scale vector. MasterMap/OSNI Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. The version 1.2 raster products for GB include the addition of OS tiles NW and HZ, also the version 1.2 dominant aggregate class products include the addition of a water class. The version 1.2 vector product for GB includes the addition of OS tile HZ. Refer to online supporting documentation for further information. ","locations":["POLYGON((-9.227 49.837, -9.227 60.85, 2.6876 60.85, 2.6876 49.837, -9.227 49.837))"],"metadataDate":"2026-07-25T14:46:57.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e02b4228-fdcf-4ab7-8d9d-d3a16441e23d"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007…","state":"published","supplementalName":["Countryside Survey Website","Land cover maps on the UKCEH website"],"temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["The Game Conservancy Trust"],"authorFamilyName":["Sage"],"authorFullName":["Sage, R."],"authorGivenName":["Rufus"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Ecological field data for a variety of biodiversity indicators were collected from commercial fields of both crops. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Future policies are likely to encourage more land use under energy crops: principally willow, grown as short rotation coppice, and a tall exotic grass Miscanthus. These crops will contribute to the UK's commitment to reduce CO2 emissions. However, it is not clear how decisions about appropriate areas for growing the crops, based on climate, soil and water, should be balanced against impacts on the landscape, social acceptance, biodiversity and the rural economy. This project integrated social, economic, hydrological and biodiversity studies in an interdisciplinary approach to assessing the impact of converting land to Miscanthus grass and short-rotation coppice (SRC) willows. Two contrasting farming systems were focused on: the arable-dominated East Midlands; and grassland-dominated South West England. Ecological field data for a variety of biodiversity indicators were collected from commercial fields of both crops. The public attidues questionnaire data from this study are available at the UK Data Archive under study number 6615 (see Supplemental). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Karp","Sage"],"fullName":["Karp, A.","Sage, R."],"funder":["Economic and Social Research Council"],"givenName":["Angela","Rufus"],"grant":["RES-227-25-0020"],"identifier":"70b0258a-a903-4a7e-8588-1481af7b4dc7","incomingCitationCount":0,"keyword":["Rural Economy and Land Use Programme (RELU)","Impacts of increasing land use under energy crops","Land use"],"keywordsProject":["Rural Economy and Land Use Programme (RELU)","Impacts of increasing land use under energy crops"],"keywordsTheme":["Land use"],"licence":"Non-Open government licence","lineage":"Biodiversity data consists of plant and invertebrate species/taxonomic group count data from 15 fields of SRC willows and 17 fields of Miscanthus. Indicators were sampled from positions around the edges of the crops and at various distances into the crop itself. Plant indicators were recorded as counts in quadrats, whereas invertebrate indicators were sampled using transect, suction-sampler or sticky trap, as appropriate for each indicator group. The ESRC award page (see Supplemental) hosts a publication (Haughton et al. 2009) which describes the collection of the biodiversity data set in more detail. Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0020","locations":["POLYGON((-4.262 51.371, -4.262 54.775, 1.077 54.775, 1.077 51.371, -4.262 51.371))"],"metadataDate":"2026-07-25T06:51:00.000Z","organisation":["Rothamsted Research","The Game Conservancy Trust","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-12-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1291048737180","CEH:EIDC::1291048737180","https://catalogue.ceh.ac.uk/id/70b0258a-a903-4a7e-8588-1481af7b4dc7"],"resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"Ecological field data for a variety of biodiversity indicators were collected from commercial fields of both crops. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Future policies are likely to encourage more land use under energy crops: principally…","state":"published","supplementalDescription":["Further information about the \"Impacts of Increasing Land Use under Energy Crops\" dataset in general from the RELU UK Data Archive website."],"supplementalName":["ESDS catalogue record and data access","RELU Knowledge Portal page"],"temporalExtentText":"Data collected from 2006 to 2009","title":"Impacts of increasing land use under energy crops - ecology data, 2006-2009","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Loughborough University","Newcastle University"],"authorFamilyName":["Chen","Liang","Xiao"],"authorFullName":["Chen, H.","Liang, Q.","Xiao, W."],"authorGivenName":["H.","Q.","W."],"authorRor":["https://ror.org/04vg4w365","https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","Shapefile"],"description":"The data consists of identified exposed objects subject to flooding risk from the Tsho Rolpa Lake. The Tsho Rolpa Lake is the largest moraine-dammed proglacial lake in Nepal and was identified as one of the country’s most dangerous glacier lakes with a high possibility of outburst.","documentType":"GEMINI_DOCUMENT","familyName":["Chen","Liang","Xiao"],"fullName":["Chen, H.","Liang, Q.","Xiao, W."],"funder":["Natural Environment Research Council"],"givenName":["H.","Q.","W."],"grant":["NE/S005919/1"],"identifier":"3834d477-7a1d-4ad3-8a41-d38fc727dbd8","incomingCitationCount":0,"keyword":["Tsho Rolpa","Nepal","Glacial lake outburst floods","Hazard exposure","Object-based assessment "],"keywordsOther":["Glacial lake outburst floods","Hazard exposure","Object-based assessment "],"keywordsPlace":["Tsho Rolpa","Nepal"],"licence":"Open government licence","lineage":"Different glacial lake outburst flood (GLOF) scenarios are created using a simple dam breach model. A high-performance hydrodynamic model is then used to simulate the resulting flood hydrodynamics. Detailed socio-economic information is collected and processed from multiple sources including OpenStreetMap, Google Earth, and global data products to support exposure analysis. The exposure of objects was spatially identified by overlaying the predicted flood inundation maps and the relevant datasets that are processed and improved.","locations":["POLYGON((86.167 27.5, 86.167 27.85, 86.483 27.85, 86.483 27.5, 86.167 27.5))"],"metadataDate":"2026-09-15T08:36:34.000Z","organisation":["Loughborough University","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3834d477-7a1d-4ad3-8a41-d38fc727dbd8","10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8","doi:10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04vg4w365","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of identified exposed objects subject to flooding risk from the Tsho Rolpa Lake. The Tsho Rolpa Lake is the largest moraine-dammed proglacial lake in Nepal and was identified as one of the country’s most dangerous glacier lakes with a high possibility…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020","version":1.0,"view":["public","matnic"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets have been produced by the Natural Environment Research Council, Soil Security Program project U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands). This project investigates how soil organisms act to sustain soils and soil functions and how these interactions are affected by climate change and the way we manage our land. The project examines the effects of land use change on soil biodiversity, soil properties and soil services in different soil systems around the UK, the specific ways in which biodiversity regulates soil and its services, and how soil nutrient inputs affect the soil biota in the cycling of carbon. This was a 3 year, £598,808 project, running from July 2015 through to November 2018.Organisations involved in this project were: NERC Centre for Ecology & Hydrology, United Kingdom (Lead Research Organisation); BBSRC, United Kingdom (Co-funder); University of Wales, United Kingdom (Collaboration); Earth Trust (Collaboration); James Hutton Institute (Collaboration); Rothamsted Research, United Kingdom (Collaboration); Natural England, United Kingdom (Collaboration); The Wildlife Trusts (Collaboration); Agrii (Collaboration); Scotland's Rural College (Collaboration); Myerscough College (Collaboration); Royal Society for the Protection of Birds (RSPB) (Collaboration); National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) (Collaboration); Indigro (Collaboration; IRSTEA National Research Institute Science and Technology (Collaboration).\n\nThe three datasets presented here provide information relating to the survey soils’ physio-chemical properties, soil functional measurements (through assessment of soil enzymatic activities) and soil biodiversity measures derived from eDNA.\n","documentType":"GEMINI_DOCUMENT","familyName":["Goodall"],"fullName":["Goodall, T.I."],"funder":["Natural Environment Research Council"],"givenName":["T.I."],"grant":["NE/M017125/1"],"identifier":"f5360f0c-8b39-4c56-b71a-fcb66b862a77","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-4.828 50.437, -4.828 56.249, 0.797 56.249, 0.797 50.437, -4.828 50.437))"],"metadataDate":"2026-07-25T18:07:19.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5360f0c-8b39-4c56-b71a-fcb66b862a77"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets have been produced by the Natural Environment Research Council, Soil Security Program project U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands). This project investigates how soil organisms act to sustain…","state":"published","title":"Soil properties, function and biodiversity from project U-GRASS: Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands","version":1.0,"view":["public","danor"]},{"authorAffiliation":["CONICET, Universidad Nacional del Comahue","Univ. Nacional de Tucuman","Universidad Nacional de Cordoba","Universidad de Buenos Aires","Univ. Nacional de Tucuman ","Instituto de Investigaciones en Ciencias Agrarias de Rosario","Universidade Federal de Sao Carlos","Universidade de Sao Paulo","UK Centre for Ecology & Hydrology"],"authorFamilyName":["da Cunha","Chacoff","Sáez","Galetto","Devoto","Carrasco","Mazzei","Castillo","Palacios","Vesprini","Agostini","Saraiva","Woodcock","Aizen"],"authorFullName":["da Cunha, N.L.","Chacoff, N.P.","Sáez, A.","Galetto, L.","Devoto, M.","Carrasco, J.","Mazzei, M.P.","Castillo, S.E.","Palacios, T.P.","Vesprini, J.L.","Agostini, K.","Saraiva, A.M.","Woodcock, B.A.","Aizen, M.A."],"authorGivenName":["N.L.","N.P.","A.","L.","M.","J.","M.P.","S.E.","T.P.","J.L.","K.","A.M.","B.A.","M.A."],"authorOrcid":["0000-0001-5509-6757","0000-0002-1115-6989","0009-0005-8988-2816","0000-0003-3828-657X","0000-0003-3098-236X","0000-0003-0424-3184","0000-0002-7947-350X","0000-0002-7801-1784","0000-0002-6593-4248","0000-0002-0038-3211","0000-0003-2283-1123","0000-0003-0300-9951","0000-0001-9079-9749"],"authorRor":["https://ror.org/02zvkba47","https://ror.org/04chzd762","https://ror.org/056tb7j80","https://ror.org/0081fs513","https://ror.org/02s040f34","https://ror.org/00qdc6m37","https://ror.org/036rp1748","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil.  Yield data was also collected from these same sites to elucidate the dependencies of this crop on insect pollination with a focus on managed and wild pollinators.  Data was collected over multiple seasons between 2020 and 2022. Soybean is one of the most traded agricultural commodities and is of significant economic importance in South America.  ","documentType":"GEMINI_DOCUMENT","familyName":["da Cunha","Chacoff","Sáez","Galetto","Devoto","Carrasco","Mazzei","Castillo","Palacios","Vesprini","Agostini","Saraiva","Woodcock","Aizen"],"fullName":["da Cunha, N.L.","Chacoff, N.P.","Sáez, A.","Galetto, L.","Devoto, M.","Carrasco, J.","Mazzei, M.P.","Castillo, S.E.","Palacios, T.P.","Vesprini, J.L.","Agostini, K.","Saraiva, A.M.","Woodcock, B.A.","Aizen, M.A."],"funder":["Natural Environment Research Council","National Scientific and Technical Research Council of Argentina (CONICET)","São Paulo Research Foundation"],"givenName":["N.L.","N.P.","A.","L.","M.","J.","M.P.","S.E.","T.P.","J.L.","K.","A.M.","B.A.","M.A."],"grant":["NE/S011870/2","RD 1984/19","2018/14994-1"],"identifier":"2bd21042-ebbc-4454-8ca3-96e18333ccd2","incomingCitationCount":0,"keyword":["autogamy autonomous self-pollination","ecosystem services","Glycine max","Soya","pollination","wild bees","honeybees","seed set","yield (agricultural)","bees","soybean"],"keywordsOther":["autogamy autonomous self-pollination","ecosystem services","Glycine max","Soya","pollination","wild bees","honeybees","seed set","yield (agricultural)","bees","soybean"],"licence":"Open government licence","lineage":"Fieldwork instrumentation used.  No fieldwork instrumentation was used outside of GPS to position the sites’ locations.   \n\nMethods of collection. Five study areas were located along a N-S latitudinal gradient from southern Brazil to central Argentina. Within each area, five soybean sites were selected. At each site sampling areas were established at the field edge (50 m from field boundary) and the field interior (150 m from the field boundary).\n\nPollinator sampling: During flowering, we conducted repeated measurements of pollinator abundance and diversity in each soybean field by sampling along 100-m-long transects (1 m wide) placed on the field margin (0 m from field edge) and within the crop at 50 and 150 m from the field edge. Pollinator sampling along transects was undertaken by slowly walking the transect for 20 minutes and recording all insects seen visiting flowers.  This was done on three occasions each day for an early (8:30-10:00h), mid (12-14:00h) and late (15:30-17:30) sample round. Pollinators were identified where possible to species or species aggregates in the field.  Where this was not possible individuals were collected for subsequent lab-based identification ideally to species, or where this was not possible to generic or some other level of identification. If necessary, a morphospecies concept was applied allowing the identification of recognizable taxonomic units even where taxonomic resolution was poor. Where possible the name of flowering plants in the field margin that received visits from the pollinators were recorded. Weather data was recorded in the form of temperature, humidity and wind speed.  \nPollination dependence of oilseed rape: At each sampling location in a field two (50 m and 150 m from the edge) sampling transects from the field edge were established (A and B).  We assessed pollinator dependence using a caging experiment consisting of two treatments: (i) closed to pollinators by covering crops within 1m2 enclosed by cages of fine mesh during the flowering period, (ii) open pollination (i.e., plot of 1m2 without manipulation). We harvested 5 plants per treatment, each taken from in the middle of the cage. Following harvest, we measured: (i) Total number of pods on the plant; (ii) Average number of seeds per pod; (ii) Weight of the seeds (grams) before drying; iii) Total dried weight of seeds from the plant (grams).  Additional information on crop variety, date of sowing and data of first observed flowers was recorded. Sampling was undertaken according to site in the harvest years of 2020, 2021 and 2022.\n\nNature and units of recorded variables.  All data on abundance of pollinators represents counts of individuals.  Data on fruit set represents counts of the number of fruits, buds and flowers.\n\nProcessing steps performed on the data.  No data has been transformed with the exception of mean seeds per pod values.\n\nQuality control/assessment applied to the data. All field workers were either experts with a long track record of pollinator identification or underwent extensive training.  Questionable specimens were collected for subsequent identification under laboratory conditions. Data was collected in the field using pre-prepared data sheets. Data sheets were checked both visually and following data entry into digital format by confirming where outlier abundances (>2SD from mean) were found that these were consistent with raw field data sheets. Balances used to weigh seeds are regularly calibrated.\n\nLimitations on the data reliability.  For the seed set data there is no shaded control that allows access to pollinators, although a preliminary study suggested that this treatment did not differ from a non-shaded open to pollinators control.","locations":["POLYGON((-86.177 -55.974, -86.177 9.449, -32.739 9.449, -32.739 -55.974, -86.177 -55.974))"],"metadataDate":"2026-07-24T19:32:10.000Z","orcid":["0000-0001-5509-6757","0000-0002-1115-6989","0009-0005-8988-2816","0000-0003-3828-657X","0000-0003-3098-236X","0000-0003-0424-3184","0000-0002-7947-350X","0000-0002-7801-1784","0000-0002-6593-4248","0000-0002-0038-3211","0000-0003-2283-1123","0000-0003-0300-9951","0000-0001-9079-9749"],"organisation":["CONICET, Universidad Nacional del Comahue","Univ. Nacional de Tucuman","Universidad Nacional de Cordoba","Universidad de Buenos Aires","Univ. Nacional de Tucuman ","Instituto de Investigaciones en Ciencias Agrarias de Rosario","Universidade Federal de Sao Carlos","Universidade de Sao Paulo","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Grupo de Ecología de la Polinizacion (EcoPol), INIBIOMA (CONICET, Universidad Nacional del Comahue)"],"publicationDate":"2024-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2bd21042-ebbc-4454-8ca3-96e18333ccd2","10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2","doi:10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2"],"resourceType":"Dataset","rightsHolder":["Grupo de Ecología de la Polinizacion (EcoPol), INIBIOMA (CONICET, Universidad Nacional del Comahue)"],"ror":["https://ror.org/02zvkba47","https://ror.org/04chzd762","https://ror.org/056tb7j80","https://ror.org/0081fs513","https://ror.org/02s040f34","https://ror.org/00qdc6m37","https://ror.org/036rp1748","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil.  Yield data was also collected…","state":"published","temporalExtentText":"Data collected from 2020 to 2022","title":"Insect pollinator visitations to soybean crops, and soybean crop yield, along a latitudinal gradient in South America, 2020-2022","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Norton","McCracken","Wood","Maskell","Staley","Pallet","Mitschunas","Patton","Ryder","Harvey","Reid","Thornley","Boswell"],"authorFullName":["Norton, L.R.","McCracken, M.","Wood, C.M.","Maskell, L.C.","Staley, J.T.","Pallet, D.","Mitschunas, N.","Patton, J.","Ryder, K.","Harvey, A.","Reid, J.","Thornley, R.","Boswell, G."],"authorGivenName":["L.R.","M.","C.M.","L.C.","J.T.","D.","N.","J.","K.","A.","R.","G."],"authorOrcid":["0000-0002-1622-0281","0000-0002-8298-8838","0000-0002-0394-2998","0000-0003-4006-7755","0000-0001-6467-3712","0000-0002-3981-6547","0009-0002-2534-8938"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of plant species presence and abundance in vegetation plots located on hedges, recorded from 248 1km squares across England in 2022 and 2023, as part of a survey of hedges funded by Natural England. \n\nThe survey sites belong to the UKCEH Countryside Survey, which is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have previously been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, 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. ","documentType":"GEMINI_DOCUMENT","familyName":["Norton","McCracken","Wood","Maskell","Staley","Pallet","Mitschunas","Patton","Ryder","Harvey","Reid","Thornley","Boswell"],"fullName":["Norton, L.R.","McCracken, M.","Wood, C.M.","Maskell, L.C.","Staley, J.T.","Pallet, D.","Mitschunas, N.","Patton, J.","Ryder, K.","Harvey, A.","Reid, J.","Thornley, R.","Boswell, G."],"funder":["Natural England"],"givenName":["L.R.","M.","C.M.","L.C.","J.T.","D.","N.","J.","K.","A.","R.","G.","C. M."],"identifier":"48394dea-f17d-4e38-896c-ac845db852b9","incomingCitationCount":0,"keyword":["England","Biodiversity","Environmental survey","woody linear features","ground flora","pollinators","vascular plants","hedge"],"keywordsOther":["woody linear features","ground flora","pollinators","vascular plants","hedge"],"keywordsPlace":["England"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2022 and 2023 by professional, trained surveyors. Data were recorded from 248 x 1km squares sited across England, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology. Standard Countryside Survey methodology was applied (refer to the supplied documentation).","locations":["POLYGON((-5.669 49.864, -5.669 55.678, 1.768 55.678, 1.768 49.864, -5.669 49.864))"],"metadataDate":"2026-07-24T21:18:25.000Z","orcid":["0000-0002-1622-0281","0000-0002-8298-8838","0000-0002-0394-2998","0000-0003-4006-7755","0000-0001-6467-3712","0000-0002-3981-6547","0009-0002-2534-8938"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/48394dea-f17d-4e38-896c-ac845db852b9","10.5285/48394dea-f17d-4e38-896c-ac845db852b9","doi:10.5285/48394dea-f17d-4e38-896c-ac845db852b9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in vegetation plots located on hedges, recorded from 248 1km squares across England in 2022 and 2023, as part of a survey of hedges funded by Natural England. \n\nThe survey sites belong to the UKCEH Countryside…","state":"published","temporalExtentText":"Data collected from 2022 to 2023","title":"Vegetation plot data from a survey of hedges in UKCEH Countryside Survey sites, England, 2022-2023","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Flor","Osorio-Baquero","Pinheiro","Galloway"],"authorFullName":["Flor, D.","Osorio-Baquero, A.","Pinheiro, L.M.","Galloway, T."],"authorGivenName":["Daniela","Andrea","Lara M","Tamara"],"authorOrcid":["0009-0005-3458-9276"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents information on the most sold products in sampled grocery shops in Santa Cruz island, Galápagos. Data were collected in July and August 2023, from 13 grocery shops, including small, medium and large shops, as well as open markets. The dataset includes product name, manufacture location, manufacture date, product weight, type and weight of packaging and polymer type. The data were collected to explore alternatives for reducing inland plastic waste through a circular economy approach. This work is part of a NERC funded project (NE/V005448/1), that aims to reduce plastic in the Galápagos Islands and the Eastern Pacific.","documentType":"GEMINI_DOCUMENT","familyName":["Flor","Osorio-Baquero","Pinheiro","Galloway"],"fullName":["Flor, D.","Osorio-Baquero, A.","Pinheiro, L.M.","Galloway, T.","Daniela Flor"],"funder":["Natural Environment Research Council"],"givenName":["Daniela","Andrea","Lara M","Tamara"],"grant":["NE/V005448/1"],"identifier":"f2e7292f-d36d-4f1f-aa70-2f76ce9dea11","incomingCitationCount":0,"keyword":["Environmental survey","Product","Plastic","Polymer","Packaging"],"keywordsOther":["Product","Plastic","Polymer","Packaging"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The products sampled were the 20 most sold products in each grocery shops (where available). Grocery shops were randomly selected based on population count categories in the island (low, medium low, medium and high). The sampling design aimed to include  two shops per population count category and was complemented with additional sampling from large supermarkets and open-market stalls.\n\nProducts were bought and data were recorded. Each product was weighted, packaging was removed and weighted separately. Packaging components were then stored in labelled bags and analysed at the University of Exeter laboratory using two instruments:  Spectrum Two PerkinElmer Fourier transform infrared (FTIR) spectrometer with an attenuated total reflection (ATR) (measuring in a wavelength range from 650 to 4000 to cm-1 and a resolution 4cm-1) and a portable plastic identification device (PlasTell NIR plastics scanner, desktop version, Matoha Instrumentation Ltd.) equipped with a transmittance-reflectance NIR spectroscopy, 1550-1950 nm - 2NIR lamps built-in. In total 127 products were  analysed. Data were initially recorded in field notebooks and subsequently digitized into an Excel database, where they were reviewed and standardized.","locations":["POLYGON((-90.599 -0.807, -90.599 -0.384, -90.138 -0.384, -90.138 -0.807, -90.599 -0.807))"],"metadataDate":"2026-07-25T18:05:39.000Z","orcid":["0009-0005-3458-9276"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f2e7292f-d36d-4f1f-aa70-2f76ce9dea11","10.5285/f2e7292f-d36d-4f1f-aa70-2f76ce9dea11","doi:10.5285/f2e7292f-d36d-4f1f-aa70-2f76ce9dea11"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents information on the most sold products in sampled grocery shops in Santa Cruz island, Galápagos. Data were collected in July and August 2023, from 13 grocery shops, including small, medium and large shops, as well as open markets. The dataset includes…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Packaging data on the most sold products in grocery shops in Santa Cruz Island, Galápagos, 2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor","Rennie"],"authorFullName":["Taylor, K.","Rennie, S."],"authorGivenName":["K.","S."],"authorOrcid":["0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data contain solar radiation, air temperature, temperature depression, wind velocity, wind direction and rainfall from Automatic Weather Stations (AWS) located at Moor House and Helbeck, Cumbria, UK. This data contain a mixture of hourly and daily readings. The data were collected between July 1974 and February 1987 at Moor House and between May 1974 and October 1983 at Helbeck.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor","Rennie"],"fullName":["Taylor, K.","Rennie, S."],"givenName":["K.","S.","Sue"],"identifier":"77df4b96-c5e4-419a-b7cf-fc1d9a05c61c","incomingCitationCount":0,"keyword":["United Kingdom","Cumbria","Moor House","Helbeck","solar radiation","air temperature","temperature depression","wind velocity","wind direction","rainfall "],"keywordsOther":["solar radiation","air temperature","temperature depression","wind velocity","wind direction","rainfall "],"keywordsPlace":["United Kingdom","Cumbria","Moor House","Helbeck"],"licence":"Open government licence","lineage":"These data were collected by Ken Taylor and stored in a database at the Centre for Ecology & Hydrology [as described in: Cuthbertson, M. (1993) - see supplemental information for reference]. This is a historic dataset so quality assurance procedures for the data are unknown.","locations":["POLYGON((-2.505 54.524, -2.505 54.769, -2.068 54.769, -2.068 54.524, -2.505 54.524))"],"metadataDate":"2026-09-15T08:44:22.000Z","orcid":["0000-0002-0027-0436"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-02-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/77df4b96-c5e4-419a-b7cf-fc1d9a05c61c","10.5285/77df4b96-c5e4-419a-b7cf-fc1d9a05c61c","doi:10.5285/77df4b96-c5e4-419a-b7cf-fc1d9a05c61c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data contain solar radiation, air temperature, temperature depression, wind velocity, wind direction and rainfall from Automatic Weather Stations (AWS) located at Moor House and Helbeck, Cumbria, UK. This data contain a mixture of hourly and daily readings. The…","state":"published","supplementalDescription":["Cuthbertson, M., 1993. A database for environmental research programmes. Journal of Environmental Management, 37(4), pp.291-300."],"temporalExtentText":"Data collected from 1974 to 1987","title":"Automatic weather station recordings from Moor House and Helbeck 1974-1987","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research","University of York"],"authorFamilyName":["Goodwin","Bütikofer","Hatfield","Richter","Redhead"],"authorFullName":["Goodwin, C.E.D.","Bütikofer, L.","Hatfield, J.H.","Richter, G.M.","Redhead, J.W."],"authorGivenName":["C.E.D.","L.","J.H.","G.M.","J.W."],"authorOrcid":["0000-0003-0093-9838","0000-0001-8220-7520","0000-0002-6361-0629","0000-0003-2180-9514","0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of landscape and agricultural management archetypes (1 km resolution) at three levels, defined by different opportunities for adaptation. Tier 1 archetypes quantify broad differences in soil, land cover and population across Great Britain, which cannot be readily influenced by the actions of land managers; Tier 2 archetypes capture more nuanced variations within farmland-dominated landscapes of Great Britain, over which land managers may have some degree of influence. Tier 3 archetypes are built at national levels for England and Wales and focus on socioeconomic and agro-ecological characteristics within farmland-dominated landscapes, characterising differences in farm management. The unavailability of several input variables for agricultural management prevented the generation of Tier 3 archetypes for Scotland.\n\nThe archetypes were derived by data-driven machine learning. The three tiers of archetypes were analysed separately and not as a nested structure (i.e. a single Tier 3 archetype can occur in more than one Tier 2 archetype), predominantly to ensure that archetype definitions were easily interpreted across tiers. ","documentType":"GEMINI_DOCUMENT","familyName":["Goodwin","Bütikofer","Hatfield","Richter","Redhead"],"fullName":["Goodwin, C.E.D.","Bütikofer, L.","Hatfield, J.H.","Richter, G.M.","Redhead, J.W.","Goodwin, C."],"funder":["Natural Environment Research Council"],"givenName":["C.E.D.","L.","J.H.","G.M.","J.W.","Cecily"],"grant":["NE/T000244/2","NE/T001178/1","NE/T001992/1"],"identifier":"3b44375a-cbe6-468c-9395-41471054d0f3","incomingCitationCount":1,"keyword":["AgLand","Archetypes","Land systems","Great Britain","Farming"],"keywordsOther":["Archetypes","Land systems","Great Britain","Farming"],"keywordsProject":["AgLand"],"licence":"Open government licence","lineage":"Archetype data were generated from various spatial socioeconomic and bio-physical layers. These data were analysed using Self-Organising Maps (SOMs), which reduce the dimensions and cluster the data into similar groupings. This creates a pre-set number of Land System Archetypes, each associated with a group of representative 1km cells, at each tier.\n\nSOMs were run iteratively 1000 times to gain a measure of the consistency of the production of each set of Archetypes. Data are provided with a measure (Euclidean distance) of the accuracy of the assignment of archetypes for each 1km cell. Sensitivity analyses were conducted to test the inclusion of different data. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:40:01.000Z","orcid":["0000-0003-0093-9838","0000-0001-8220-7520","0000-0002-6361-0629","0000-0003-2180-9514","0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","University of York","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3b44375a-cbe6-468c-9395-41471054d0f3","10.5285/3b44375a-cbe6-468c-9395-41471054d0f3","doi:10.5285/3b44375a-cbe6-468c-9395-41471054d0f3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Rothamsted Research"],"ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of landscape and agricultural management archetypes (1 km resolution) at three levels, defined by different opportunities for adaptation. Tier 1 archetypes quantify broad differences in soil, land cover and population across Great Britain, which…","state":"published","title":"Multi-tier archetypes to characterise British landscapes, farmland and farming practices","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived from the corresponding LCM2018 20m classified pixels dataset.  All further LCM2018 datasets for Great Britain are derived from this land parcel product.  A range of land parcel attributes are provided.  These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.\n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6","incomingCitationCount":1,"keyword":["Land cover","Mapping","vector","LCM2018","UK-SCAPE"],"keywordsOther":["vector","LCM2018","UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:06:39.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6","10.5285/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6","doi:10.5285/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Land Cover Map 2018 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Freshwater Biological Association"],"authorFamilyName":["Maberly","Brierley","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent","Feuchtmayr"],"authorFullName":["Maberly, S.C.","Brierley, B.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.","Feuchtmayr, H."],"authorGivenName":["S.C.","B.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","S.J.","C.","H."],"authorOrcid":["0000-0003-3541-5903","0000-0002-3808-1534","0000-0002-8788-8449","0000-0001-5697-7062","0000-0003-0488-3843","0000-0003-3274-2706","0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from weekly to fortnightly sampling at Grasmere in Cumbria, England that began in 1968 for some variables. The data were initially collected by the Freshwater Biological Association but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology since 1989. The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake.  When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from June 1968 until the end of 2013. ","documentType":"GEMINI_DOCUMENT","familyName":["Maberly","Brierley","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent","Feuchtmayr"],"fullName":["Maberly, S.C.","Brierley, B.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.","Feuchtmayr, H."],"givenName":["S.C.","B.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","S.J.","C.","H."],"identifier":"b891c50a-1f77-48b2-9c41-7cc0e8993c50","incomingCitationCount":0,"keyword":["Grasmere","Environmental survey","Water quality","surface water","temperature","water chemistry","oxygen","phytoplankton","chlorophyll"],"keywordsOther":["surface water","temperature","water chemistry","oxygen","phytoplankton","chlorophyll"],"keywordsPlace":["Grasmere"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions (marked as Flag 2). Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in Freshwater Biological Association/Centre for Ecology & Hydrology laboratories .","locations":["POLYGON((-3.035 54.44, -3.035 54.458, -2.999 54.458, -2.999 54.44, -3.035 54.44))"],"metadataDate":"2026-07-25T12:57:12.000Z","orcid":["0000-0003-3541-5903","0000-0002-3808-1534","0000-0002-8788-8449","0000-0001-5697-7062","0000-0003-0488-3843","0000-0003-3274-2706","0000-0002-2028-4843"],"organisation":["Centre for Ecology & Hydrology","Freshwater Biological Association","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b891c50a-1f77-48b2-9c41-7cc0e8993c50","10.5285/b891c50a-1f77-48b2-9c41-7cc0e8993c50","doi:10.5285/b891c50a-1f77-48b2-9c41-7cc0e8993c50"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from weekly to fortnightly sampling at Grasmere in Cumbria, England that began in 1968 for some variables. The data were initially…","state":"published","temporalExtentText":"Data collected from 1968 to 2013","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Grasmere, 1968 to 2013","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"altTitle":["Project Name Perma-Hydro-C (HYDRA)","NERC Arctic programme"],"authorAffiliation":["University of Aberdeen"],"authorFamilyName":["Tetzlaff","Lessels","Wookey"],"authorFullName":["Tetzlaff, D.","Lessels, J.","Wookey, P."],"authorGivenName":["D.","J.","P."],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise sub-hourly discharge measurements including mean stream height, discharge and stream temperature collected at station S2 on the Siksik stream, North West Territories, Canada, between September 2009 and March 2010. Measurements were taken at a field site based at SikSik Creek a small sub-catchment of the Trail Valley Creek, approximately 60km north of Inuvik.\n\nThe data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. 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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 (now the James Hutton Institute). 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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 reference: Effects on weed and invertebrate abundance and diversity of herbicide management in genetically modified herbicide-tolerant winter-sown oilseed rape, Bohan et al., Proc. R. Soc. 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The aim of this data set was to test whether tree height alters the water transport system of trees to make them more vulnerable to the impacts of drought.","documentType":"GEMINI_DOCUMENT","familyName":["Bittencourt","Scheire","Jotan","Lourenço-Junior","Banin","Suis","Burslem","Christoffersen","Coomes","Groenendijk","Jansen","Jucker","Matula","Mencuccini","Oliveira","Plichta","Nilus","Robert","Svátek","Rowland"],"fullName":["Bittencourt, P.","Scheire, A.","Jotan, P.","Lourenço-Junior, J.","Banin, L.","Suis, M.A.F.B.","Burslem, D.F.R.P.","Christoffersen, B.","Coomes, D.","Groenendijk, P.","Jansen, S.","Jucker, T.","Matula, R.","Mencuccini, M.","Oliveira, R.","Plichta, R.","Nilus, R.","Robert, R.","Svátek, M.","Rowland, L.","Lucy Rowland"],"funder":["Natural Environment Research Council"],"givenName":["P.","Arne","Palasiah","Jehova","Lindsay","Mohd. 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In addition, wood cores were extracted with increment borers at breast height (1.3m, or just above any buttresses). Immediately after sampling material was sealed in moist bags and transported to laboratories at the Sabah Forest Research Centre (10-30 minutes' walk), where functional traits were measured. The traits measured included leaf and wood structural traits, leaf and wood hydraulic traits and wood anatomy traits. The full list of traits measures and procedures used to measure the traits are laid out in the supporting information. 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Please see the references in the supporting documentation (survey guidance) for more information.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.","documentType":"GEMINI_DOCUMENT","familyName":["Roy","Bunch","Harris","New","Pescott","Walker"],"fullName":["Roy, D.B.","Bunch, N.","Harris, F.","New, H.","Pescott, O.L.","Walker, K.J.","Roy, D."],"givenName":["D.B.","N.","F.","H.","O.L.","K.J.","David"],"identifier":"33fe87f9-d45a-41ba-acca-ee8585ea6b7d","incomingCitationCount":0,"keyword":["Biodiversity","NPMS"],"keywordsOther":["NPMS"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The data were initially entered through a custom-built Drupal-website, using the open-source Indicia (www.indicia.org.uk) database standard. 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