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Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2024 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:21:34.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4dd9df19-8df5-41a0-9829-8f6114e28db1","10.5285/4dd9df19-8df5-41a0-9829-8f6114e28db1","doi:10.5285/4dd9df19-8df5-41a0-9829-8f6114e28db1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type;…","state":"published","title":"Land Cover Map 2024 (10m classified pixels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. \n\nButterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats. \n\nAlthough the UK Centre for Ecology & Hydrology (UKCEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the Collated indices, the collection of the data used in their creation is ultimately reliant on a large volunteer community. The UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). \n\nThis dataset is updated annually and more recent versions of the UKBMS collated indices are available.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"givenName":["M.","D.","T.","I.","Z."],"identifier":"ff55462e-38a4-4f30-b562-f82ff263d9c3","incomingCitationCount":1,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-07-25T18:12:26.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["UK Butterfly Monitoring Scheme","Centre for Ecology & Hydrology","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1329909998347","CEH:EIDC::1329909998347","https://catalogue.ceh.ac.uk/id/ff55462e-38a4-4f30-b562-f82ff263d9c3","10.5285/ff55462e-38a4-4f30-b562-f82ff263d9c3","doi:10.5285/ff55462e-38a4-4f30-b562-f82ff263d9c3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been…","state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites. "],"supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2011","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Royal Veterinary College","University of Cambridge","Swansea University"],"authorFamilyName":["Mamuneas","Spence","Manica","King"],"authorFullName":["Mamuneas, D.","Spence, A.J.","Manica, A.","King, A."],"authorGivenName":["D.","A.J.","A."],"authorRor":["https://ror.org/01wka8n18","https://ror.org/013meh722","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are of speed and accuracy of decision making in stickleback fish of different personalities. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze. The work was carried out between March 2012 and February 2013 at The Structure and Motion Laboratory, Royal Veterinary College. The work was funded by a BBSRC studentship, NERC ( grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) and The Royal Society (RG 110401) All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084).","documentType":"GEMINI_DOCUMENT","familyName":["Mamuneas","Spence","Manica","King"],"fullName":["Mamuneas, D.","Spence, A.J.","Manica, A.","King, A."],"funder":["Natural Environment Research Council"],"givenName":["D.","A.J.","A."],"grant":["NE/H016600/2"],"identifier":"1ed2ab55-0688-4513-be9a-f9f0f21d2788","incomingCitationCount":0,"keyword":["Animal behaviour","Gasterosteus aculeatus","animal behaviour"],"keywordsOther":["Gasterosteus aculeatus","animal behaviour"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze, constructed out of opaque gray plastic with 3 arms a start maze and binary choice, one of which contained a food reward. Panasonic HDC-SD60 high-definition video cameras, each mounted directly above mazes, were used to record speed and accuracy of decision making in stickleback fish of different personalities. All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). ","metadataDate":"2026-07-24T19:19:25.000Z","organisation":["Royal Veterinary College","University of Cambridge","Swansea University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["10.5285/1ed2ab55-0688-4513-be9a-f9f0f21d2788","doi:10.5285/1ed2ab55-0688-4513-be9a-f9f0f21d2788","https://catalogue.ceh.ac.uk/id/1ed2ab55-0688-4513-be9a-f9f0f21d2788"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/01wka8n18","https://ror.org/013meh722","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"Data are of speed and accuracy of decision making in stickleback fish of different personalities. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze. The work was carried out between March 2012 and February…","state":"published","supplementalDescription":["Mamuneas, D., Spence, A. J., Manica, A., King, A. J. (2015) Bolder stickleback fish make faster decisions, but they are not less accurate. Behavioral Ecology 6: 91-96."],"title":"Behavioural experiments in the laboratory with stickleback fish - Fish learning data","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Plymouth","University of Bath","University of York"],"authorFamilyName":["Courtene-Jones","Burgevin","Munns","Shillam","De Falco","Buchard","Handy","Thompson","Hanley"],"authorFullName":["Courtene-Jones, W.","Burgevin, F.","Munns, L.","Shillam, M.B.T.","De Falco, F.","Buchard, A.","Handy, R.D.","Thompson, R.C.","Hanley, M.E."],"authorGivenName":["W.","F. ","L.","M. B. T.","A.","R. D.","R. C.","M. E."],"authorOrcid":["0000-0001-7893-5322","0000-0003-2262-6621"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/002h8g185","https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains a range of measurements associated with the degradation of Polylactic acid (PLA)-cellulose based teabags, buried in soil. Degradation measurements were calculated following a 7-month burial period from November 2021 to June 2022.\n\nVariables measured include: mass change, mass change of PLA, crystallinity change, and pyrolysis gas chromatography-Mass spectroscopy (GCMS) data for each teabag type.\n\nThis research is part of the BIO-PLASTIC-RISK project, funded by Natural Environment Research Council through the grants NE/V007556/1 and NE/V007246/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Courtene-Jones","Burgevin","Munns","Shillam","De Falco","Buchard","Handy","Thompson","Hanley"],"fullName":["Courtene-Jones, W.","Burgevin, F.","Munns, L.","Shillam, M.B.T.","De Falco, F.","Buchard, A.","Handy, R.D.","Thompson, R.C.","Hanley, M.E."],"funder":["Natural Environment Research Council"],"givenName":["W.","F. ","L.","M. B. T.","A.","R. D.","R. C.","M. E."],"grant":["NE/V007556/1 ","NE/V007246/1"],"identifier":"24eddfa6-c97e-4a27-a84f-063ab3981058","incomingCitationCount":0,"keyword":["Pollution","plastic alternative","plastic substitute","microplastics","compostable plastic","biopolymer","deterioration","soil degredation"],"keywordsOther":["plastic alternative","plastic substitute","microplastics","compostable plastic","biopolymer","deterioration","soil degredation"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Three teabags brands were characterised when new, and after 7 month buried in soil (10 cm deep) in an arable field margin. Samples were deployed in November 2021 and sampled in June 2022 (five replicates).  Samples were immediately transported to the lab, washed thoroughly in MilliQ deinoised water, and dried at 40 °C overnight.  Mass loss was calculated between new and 7 month-old teabags.  Samples were then preserved under vacuum in mylar bags inside sealed polyethylene bags and stored at 4°C until further analysis.\n\nTo determine the proportion of cellulose to PLA in the teabags, teabags were placed in chloroform at room temperature for 30 minutes to dissolve the PLA components, filtered and mass ratio was calculated.  The chemical composition of new teabags were confirmed in-house using pyrolysis coupled to 2D gas chromatography and time-of-flight mass spectrometry (Py-GCxGC-TOF MS; 80-100 µg, n = 3) \n \n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:25:15.000Z","orcid":["0000-0001-7893-5322","0000-0003-2262-6621"],"organisation":["University of Plymouth","University of Bath","University of York","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/24eddfa6-c97e-4a27-a84f-063ab3981058","10.5285/24eddfa6-c97e-4a27-a84f-063ab3981058","doi:10.5285/24eddfa6-c97e-4a27-a84f-063ab3981058"],"resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/008n7pv89","https://ror.org/002h8g185","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a range of measurements associated with the degradation of Polylactic acid (PLA)-cellulose based teabags, buried in soil. Degradation measurements were calculated following a 7-month burial period from November 2021 to June 2022.\n\nVariables measured…","state":"published","title":"Degradation characteristics of bio-based teabags buried in soil, UK, November 2021-June 2022","topic":["0/Pollution/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Brown","Bunce","Carey","Chandler","Clarke","Crowe","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"authorFullName":["Barr, C.J.","Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Clarke, R.T.","Crowe, A.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","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.","M.J.","R.G.H.","P.D.","K.","R. T.","A.","M.K.","D.C.","L.C.","M. J.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"authorOrcid":["0000-0002-5651-2828","0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 1998, between 1990 and 2007, and between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling up to a national level. The data are summarized as change in habitat area per Land Class (areas of similar environmental characteristics). The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978 by the Centre for Ecology & Hydrology. 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. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Brown","Bunce","Carey","Chandler","Clarke","Crowe","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"fullName":["Barr, C.J.","Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Clarke, R.T.","Crowe, A.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","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.","M.J.","R.G.H.","P.D.","K.","R. T.","A.","M.K.","D.C.","L.C.","M. J.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M.","Claire"],"identifier":"7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","incomingCitationCount":0,"keyword":["Land cover","Broad Habitats","Countryside Survey"],"keywordsOther":["Broad Habitats","Countryside Survey"],"keywordsTheme":["Land cover"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1990 and 1998/1999 by surveyors. In the summer of 2007, the data were recorded using electronic data capture devices. Data were recorded from 508 1km squares (1990), 569 1km squares (1998/1999) and 591 1km squares (2007) sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats from 1990 and 1998/1999 were digitized in 2000. The digitized data were used to generate national estimates of the change in Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:58:20.000Z","orcid":["0000-0002-5651-2828","0000-0003-4006-7755"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-12-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1385545417246","CEH:EIDC::1385545417246","https://catalogue.ceh.ac.uk/id/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","10.5285/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","doi:10.5285/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 1998, between 1990 and 2007, and between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling…","state":"published","title":"Countryside Survey estimates of Broad Habitat area change in Great Britain between 1990,1998 and 2007","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Stirling","University of East London","University of London","University of Dundee","Cranfield University"],"authorFamilyName":["Spring","Bishop","Pawlett","Robinson","Grieve","Chudek","Hopkins","Harris","Davidson"],"authorFullName":["Spring, C.A.","Bishop, H.O.","Pawlett, M.","Robinson, C.H.","Grieve, I.C.","Chudek, J.A.","Hopkins, D.W.","Harris, J.A.","Davidson, D.A."],"authorGivenName":["C.A.","H.O.","M.","C.H.","I.C.","J.A.","D.W.","J. A.","D.A."],"authorRor":["https://ror.org/045wgfr59","https://ror.org/057jrqr44","https://ror.org/03h2bxq36","https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises botanical composition and earthworm species and abundance data, sampled from a mesocosm experiment (named Sweethope) in October 2001.   The mesocosm site replicated the layout of the main experimental plots at the NERC Soil Biodiversity site at Sourhope, Scotland and was established to avoid contaminating the main Sourhope plots.\n\nThe NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Spring","Bishop","Pawlett","Robinson","Grieve","Chudek","Hopkins","Harris","Davidson","Sier"],"fullName":["Spring, C.A.","Bishop, H.O.","Pawlett, M.","Robinson, C.H.","Grieve, I.C.","Chudek, J.A.","Hopkins, D.W.","Harris, J.A.","Davidson, D.A.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["C.A.","H.O.","M.","C.H.","I.C.","J.A.","D.W.","J. A.","D.A.","Andrew"],"identifier":"ca8f85c5-0595-4fda-80e5-4f41839effed","incomingCitationCount":0,"keyword":["Sourhope ","Scottish borders","Biodiversity","Soil","Vascular plants","earthworm"],"keywordsOther":["Vascular plants","earthworm"],"keywordsPlace":["Sourhope ","Scottish borders"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Soil samples were collected by students and staff at the experimental site before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.249 55.465, -2.249 55.481, -2.214 55.481, -2.214 55.465, -2.249 55.465))"],"metadataDate":"2026-07-25T14:04:40.000Z","organisation":["University of Stirling","University of East London","University of London","University of Dundee","Cranfield University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ca8f85c5-0595-4fda-80e5-4f41839effed","10.5285/ca8f85c5-0595-4fda-80e5-4f41839effed","doi:10.5285/ca8f85c5-0595-4fda-80e5-4f41839effed"],"resourceType":"Dataset","ror":["https://ror.org/045wgfr59","https://ror.org/057jrqr44","https://ror.org/03h2bxq36","https://ror.org/05cncd958","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises botanical composition and earthworm species and abundance data, sampled from a mesocosm experiment (named Sweethope) in October 2001.   The mesocosm site replicated the layout of the main experimental plots at the NERC Soil Biodiversity site at…","state":"published","supplementalDescription":["Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113. "],"supplementalName":["Soil Biodiversity website "],"title":"Earthworm and botanical data from the Sweethope mesocosm experimental site, Sourhope, Scotland, 2001 [NERC Soil Biodiversity Programme]","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Sussex","University of Mons","Game and Wildlife Conservation Trust"],"authorFamilyName":["Nichols","Wood","Holland","Goulson"],"authorFullName":["Nichols, R.","Wood, T.J.","Holland, J.M.","Goulson, D."],"authorGivenName":["R.","T.J.","J.M.","D."],"authorRor":["https://ror.org/00ayhx656","https://ror.org/02qnnz951","https://ror.org/015eybs17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains information about floral abundance on eight farms across Hampshire and West Sussex in 2014 and 2018. Transects of 3km were marked out on each farm and surveyed 3 times in both years. Flower species seen along transects were identified and their estimated abundances recorded. \n\nThe work was supported by the Natural Environment Research Council (Grants NE/P009972/1 and NE/J016802/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Nichols","Wood","Holland","Goulson"],"fullName":["Nichols, R.","Wood, T.J.","Holland, J.M.","Goulson, D."],"funder":["Natural Environment Research Council"],"givenName":["R.","T.J.","J.M.","D."],"grant":["NE/P009972/1","NE/J016802/1"],"identifier":"8ce6df21-4e10-4246-9751-54e6415b8eee","incomingCitationCount":0,"keyword":["Wildflower","floral resources","agri-environment","margins","natural regeneration","farmland","strips"],"keywordsOther":["Wildflower","floral resources","agri-environment","margins","natural regeneration","farmland","strips"],"licence":"Open government licence","lineage":"The transects were marked through a variety of different environments on each farm. They were separated into distinguishable sections, and then walked and surveyed 2m either side of the surveyor for flowers. The flower species seen were identified and their estimated abundances recorded. Wildflower identification books were used to reach an accurate species-level identification where possible for each flower species seen. A “flower” was counted when fully open, and is defined as either a single flower, flowers on an umbel or spike, or a capitulum. The data recorded in the field was then transferred into an excel spreadsheet.","locations":["POLYGON((-1.835 50.548, -1.835 51.313, 0.024 51.313, 0.024 50.548, -1.835 50.548))"],"metadataDate":"2026-07-25T08:42:03.000Z","organisation":["University of Sussex","University of Mons","Game and Wildlife Conservation Trust","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8ce6df21-4e10-4246-9751-54e6415b8eee","10.5285/8ce6df21-4e10-4246-9751-54e6415b8eee","doi:10.5285/8ce6df21-4e10-4246-9751-54e6415b8eee"],"resourceType":"Dataset","rightsHolder":["University of Sussex"],"ror":["https://ror.org/00ayhx656","https://ror.org/02qnnz951","https://ror.org/015eybs17","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains information about floral abundance on eight farms across Hampshire and West Sussex in 2014 and 2018. Transects of 3km were marked out on each farm and surveyed 3 times in both years. Flower species seen along transects were identified and their…","state":"published","title":"Flower species and their abundances on farmland in Hampshire and West Sussex during 2014 and 2018","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Scottish Association for Marine Science"],"authorFamilyName":["Adams","Burrows"],"authorFullName":["Adams, T.P.","Burrows, M.T."],"authorGivenName":["T. P.","M. T."],"authorRor":["https://ror.org/04ke6ht85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a salt marsh area and adjacent mudflat area. Each site comprised 22 quadrats on the unvegetated mudflat and 22 quadrats on the salt marsh. The locations indicated by this dataset correspond to the south-east corner of the quadrats which were 1m square and oriented with their sides aligned North-South and East-West. \n\nWe combined spatial data relating to the environs of the study sites from a number of sources (Ordnance Survey Digital Terrain Models, Ordnance Survey Boundary Line, Environment Agency Saltmarsh Extents, Natural England Priority Habitat Inventory). These were rasterised and quadrat values were extracted on a pointwise basis for elevation and proximity (distance to creek, habitat edge and high water mark). Tidal height was calculated with reference to the relevant Tidal Gauge and Admiralty Standard Port information.\n\nThis data was derived 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":["Adams","Burrows"],"fullName":["Adams, T.P.","Burrows, M.T.","Adams, T."],"funder":["Natural Environment Research Council"],"givenName":["T. P.","M. T.","Tom"],"grant":["NE/J015644/1"],"identifier":"78a2cab5-dca5-411b-ac5b-c2c080928b1d","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","Surface elevation","geopositioning","dGPS","GPS","GNSS","geolocation","mudflat","quadrat","salt marsh"],"keywordsOther":["Surface elevation","geopositioning","dGPS","GPS","GNSS","geolocation","mudflat","quadrat","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"Quadrat locations were taken from GPS readings collected during the CBESS survey programme (OSGB coordinates). Rasterised Digital Terrain Model data at 5 and 50 m horizontal resolution was downloaded from Edina Digimap (Edina.ac.uk), and elevation values at quadrat locations were extracted using R (www.r-project.org; Raster/Maptools packages). Tidal range at relevant Admiralty Standard Ports and adjustment applicable at relevant local tidal gauge were identified, and Mean Low Water Springs and Mean High Water Springs were converted to Ordnance Datum. Tidal height (elevation relative to the difference between Mean Low Water Springs and Mean High Water Springs) was computed at each quadrat for GPS and DTM derived elevations.\n\nSaltmarsh and mudflat boundary data were downloaded from the Environment Agency and Natural England Priority Habitats Inventory. Mean High Water line was extracted from Ordnance Survey Boundary Line data, and land edge from Ordnance Survey Vector Map data. Line shapefiles were converted to rasters with 5 and 50 m horizontal resolution (matching OS DTM grid) using R. Distance to creek edge and high water line (saltmarsh only), and land edge (mudflat only) was calculated in R using 5 m resolution rasterised shapefiles.\n","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-07-25T06:54:46.000Z","organisation":["Scottish Association for Marine Science","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-06-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78a2cab5-dca5-411b-ac5b-c2c080928b1d","10.5285/78a2cab5-dca5-411b-ac5b-c2c080928b1d","doi:10.5285/78a2cab5-dca5-411b-ac5b-c2c080928b1d"],"resourceType":"Dataset","ror":["https://ror.org/04ke6ht85","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) locations, elevations and proximity metrics of survey quadrats in saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Queen Mary University of London","University of Reading"],"authorFamilyName":["Murphy","Oliver"],"authorFullName":["Murphy, J.","Oliver, T."],"authorGivenName":["J.","T."],"authorRor":["https://ror.org/026zzn846","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of a matrix of twelve land cover classes by 20 stream sites with the area of each land cover class given in km^2. \n\nThe areal coverage (km2) of each of twelve land cover classes was recorded for each of 20 chalkstream catchments in southern England. The 20 discrete chalkstream catchments are distributed along the white chalk geology extending from Dorset in the south west, through Wiltshire, to Hampshire in the north east, to cover a gradient of catchment land cover intensification from extensive calcareous grassland and woodland through to arable and improved grasslands. These data were acquired in July 2012. This dataset was created as part of work package 3.1 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project.","documentType":"GEMINI_DOCUMENT","familyName":["Murphy","Oliver"],"fullName":["Murphy, J.","Oliver, T."],"givenName":["J.","T.","John"],"identifier":"b8a66584-da67-49e5-a0b0-d8e0b3e75b99","incomingCitationCount":0,"keyword":["Wessex BESS","land cover"],"keywordsOther":["land cover"],"keywordsProject":["Wessex BESS"],"licence":"Open government licence","lineage":"Stream site co-ordinates were put through the WINFAP-Flood Estimation Handbook 3 software (Wallingford HydroSolutions, 2012) to generate upstream catchment shapefiles at 50m2 resolution. The upstream catchment shapefiles were used to 'cookie-cut' land cover data for each catchment from the Land Cover Map 2007 (LCM2007) layer (using the Clip feature within ArcGIS). Each of the catchment shapefiles were visually checked to ensure that they were generated without error, prior to using them to Clip the LCM2007 layer.","locations":["POLYGON((-2.981 50.525, -2.981 51.661, -0.985 51.661, -0.985 50.525, -2.981 50.525))"],"metadataDate":"2026-07-25T12:57:15.000Z","organisation":["Queen Mary University of London","University of Reading","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8a66584-da67-49e5-a0b0-d8e0b3e75b99","10.5285/b8a66584-da67-49e5-a0b0-d8e0b3e75b99","doi:10.5285/b8a66584-da67-49e5-a0b0-d8e0b3e75b99"],"resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of a matrix of twelve land cover classes by 20 stream sites with the area of each land cover class given in km^2. \n\nThe areal coverage (km2) of each of twelve land cover classes was recorded for each of 20 chalkstream catchments in southern England.…","state":"published","title":"Cover of Land Cover Map 2007 broad habitat classes in the upstream catchment of the 20 Wessex chalkstream sites, England, UK","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","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 bulk density taken from bulk density rings (3.1 centimetre (cm) height, 7.5 cm diameter) within each 1metre (m) x 1m quadrat. Samples were taken vertically at three depths within each quadrat to roughly quantify the following zones: 0 -10 cm, 10 - 20 cm and 20 - 30 cm. 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. \nThis 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. \n","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"814be4cf-0ff2-46dd-b296-c4d9b913b6e4","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","bulk density","grassland","salt marsh"],"keywordsOther":["bulk density","grassland","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":"Samples were taken from bulk density rings, vertically at 3 depths (0 -10 centimetre (cm), 10 - 20 cm and 20 - 30 cm) within each 1metre (m) x 1m quadrat. Prior to measurement of bulk density all soil samples were dried at 105 degrees Celsius for 72 hours. Results were recorded onto field sheets. These data were transferred into an Excel file and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC.\nThe location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metre (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":"2026-07-25T08:35:59.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/814be4cf-0ff2-46dd-b296-c4d9b913b6e4","10.5285/814be4cf-0ff2-46dd-b296-c4d9b913b6e4","doi:10.5285/814be4cf-0ff2-46dd-b296-c4d9b913b6e4"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the bulk density taken from bulk density rings (3.1 centimetre (cm) height, 7.5 cm diameter) within each 1metre (m) x 1m quadrat. Samples were taken vertically at three depths within each quadrat to roughly quantify the following zones: 0 -10 cm,…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil bulk density from three soil depths on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","O'Neil","Hunt","Marston"],"authorFullName":["Rowland, C.S.","O'Neil, A.W.","Hunt, M.L.","Marston, C.G."],"authorGivenName":["Clare S","Aneurin W","Merryn L","Christopher G"],"authorOrcid":["0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-4435-3644","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10 m pixel dataset representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-pixel probability of the land cover. A full description of this and all UKCEH LCM2025 products are available from the LCM2025 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","O'Neil","Hunt","Marston"],"fullName":["Rowland, C.S.","O'Neil, A.W.","Hunt, M.L.","Marston, C.G."],"funder":["Natural Environment Research Council"],"givenName":["Clare S","Aneurin W","Merryn L","Christopher G"],"grant":["NE/Y006208/1"],"identifier":"5beebbfd-a086-464d-9906-280f2b7becb9","incomingCitationCount":0,"keyword":["Land cover","Mapping","Biodiversity Action Plan","land cover","land cover mapping","habitat","earth observation","remote sensing"],"keywordsOther":["Biodiversity Action Plan","land cover","land cover mapping","habitat","earth observation","remote sensing"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. Seasonal images were integrated with context layers (e.g., elevation, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2025 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-26T13:06:44.000Z","orcid":["0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-4435-3644","0000-0002-2070-2187"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-08-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5beebbfd-a086-464d-9906-280f2b7becb9","10.5285/5beebbfd-a086-464d-9906-280f2b7becb9","doi:10.5285/5beebbfd-a086-464d-9906-280f2b7becb9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10 m pixel dataset representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type;…","state":"published","title":"Land Cover Map 2025 (LCM2025 - 10m classified pixels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern Ireland. \nTo aid interpretation, two additional spatial datasets are provided:\n\n1km x 1km grids identifying majority lake cells for a) Great Britain and b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.\n","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A.","Rudd, A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A.","Ali"],"grant":["NE/R016429/1"],"identifier":"c9a85f7c-45e2-4201-af82-4c833b3f2c5f","incomingCitationCount":3,"keyword":["Hydrology","Modelling","Great Britain","Grid-to-Grid","Northern Ireland","Soil moisture","UK-Scape"],"keywordsOther":["Great Britain","Grid-to-Grid","Northern Ireland","Soil moisture","UK-Scape"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by observed data. The meteorological variables used were daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca), daily min and max temperature (Met Office; http://dx.doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) and monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:03:56.000Z","orcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-12-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c9a85f7c-45e2-4201-af82-4c833b3f2c5f","10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f","doi:10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern…","state":"published","title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by observed data (1980 to 2011)","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Unknown","catalogue":"eidc","description":"This aggregation contains socio-economic datasets from gradients of different land uses, collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project. ACES examined how woodland loss changed ecosystem services and affected the wellbeing of the rural poor in Mozambique. \n\nDatasets included in this collection include: Causal diagrams linking rural well-being with forest ecosystem services in Mozambique (2014 and 2015), Charcoal value chain in southern Mozambique, Local tree names, uses and species identification in Mozambique, Qualitative data on socio-economic characteristics from seven villages in Mabalane, Mozambique, Qualitative data on socio-economic characteristics from ten villages in Gurue, Mozambique, Rural smallholder agricultural field management surveys across Mozambique, Scenarios of future land use change in Mozambique (2014 and 2015), Social data on human wildlife conflict in ten rural communities of Marrupa, Northern Mozambique, Soya value chain in central Mozambique and Structure and composition of woodlands across Mozambique and Woody biomass maps of Mabalane, Gurue, and Maruppa, Mozambique.\n\nThe ACES research project was funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme and involved scientists and practitioners from Mozambique, the UK, Sweden, Zimbabwe and Brazil. The aim was to understand how the livelihoods of rural people in the miombo and mopane woodlands of Mozambique change when the landscape was converted from woodlands to agriculture.\n\nESPA was a 9-year UK research programme co-funded by DFID, NERC & ESRC to explore the links between the environment and human wellbeing.\n","documentType":"GEMINI_DOCUMENT","familyName":["Ryan"],"fullName":["Ryan, C."],"funder":["Natural Environment Research Council"],"givenName":["C."],"grant":["NE/K010395/1"],"identifier":"2ae998ea-528b-4b4e-b57d-aa947681abea","incomingCitationCount":0,"keyword":["Mozambique","Gaza","Zambezia","Niassa","ESPA","miombo","mopane","livelihoods","woodlands","agriculture","forests","poverty","multi-dimensional wellbeing"],"keywordsOther":["miombo","mopane","livelihoods","woodlands","agriculture","forests","poverty","multi-dimensional wellbeing"],"keywordsPlace":["Mozambique","Gaza","Zambezia","Niassa"],"keywordsProject":["ESPA"],"licence":"Open government licence","lineage":"See catalogue records for the quality statements for each dataset.","locations":["POLYGON((30.21 -26.92, 30.21 -10.33, 41.05 -10.33, 41.05 -26.92, 30.21 -26.92))"],"metadataDate":"2026-07-24T19:31:35.000Z","organisation":["University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-01-01T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ae998ea-528b-4b4e-b57d-aa947681abea"],"resourceType":"Aggregation","ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"This aggregation contains socio-economic datasets from gradients of different land uses, collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project. ACES examined how woodland loss changed ecosystem services and…","state":"published","supplementalDescription":["Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES): LIVELIHOODS AND LAND USE CHANGE IN MOZAMBIQUE","Ecosystems Services for Poverty Alleviation (ESPA) programme"],"title":"Data from the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg"],"authorFamilyName":["Ladd","Banerjee","Balke","Chanda","Ghosh"],"authorFullName":["Ladd, C.","Banerjee, S.","Balke, T.","Chanda, A.","Ghosh, T."],"authorGivenName":["Cai","Sumana","Thosten","Abhra","Tuhin"],"authorOrcid":["0000-0001-5437-6474","0000-0002-1009-8123","0000-0001-7733-5069","0000-0002-3280-1959","0000-0002-3466-867X"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom mounted floats). Wave heights and energy were measured using RBRSolo3 D | wave sensors. Water depth in front of embankments were measured using a Garmin Aquamap device. Sediment properties were also gathered at each hydrodynamic sensor deployment. The purpose of the survey was to determine the level of hydrological forcing around the island, to provide guidance on coastal flood and erosion protection planning.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Banerjee","Balke","Chanda","Ghosh"],"fullName":["Ladd, C.","Banerjee, S.","Balke, T.","Chanda, A.","Ghosh, T.","Cai Ladd"],"funder":["Natural Environment Research Council"],"givenName":["Cai","Sumana","Thosten","Abhra","Tuhin"],"grant":["NE/S008926/1"],"identifier":"19dd0d35-c109-481f-bd24-2e27da5fdccb","incomingCitationCount":0,"keyword":["Hydrology","Environmental survey","Modelling","Hydrodynamics","Embankments","Ganges Brahmaputra Meghna Delta","India","Coastal flooding","Coastal erosion"],"keywordsOther":["Hydrodynamics","Embankments","Ganges Brahmaputra Meghna Delta","India","Coastal flooding","Coastal erosion"],"keywordsTheme":["Hydrology","Environmental survey","Modelling"],"licence":"Open government licence","lineage":"Data to assess erosion and flood risk along Kumirmari island, Indian GBM delta, was gathered at eastern (22°12′43″N , 088°57′20″E), southern (22°10′40″N , 088°55′55″E), and western (22°12′15″N , 088°54′50″E) sites.\n\nAcceleration\nB4+ Mini Buoys were deployed at the base of embankments and at the bottom of fronting intertidal habitat. Each logger sampled y-axis acceleration at 1 Hz. Unfortunately, some Mini Buoys were lost during deployment.\n\nWave parameters\nAn RBRSolo3 D | wave sensor was deployed at the bottom of fronting intertidal habitat at each site along Kumirmari. Height of the RBRSolo pressure sensor above the bed was 4-5 cm. Velocities were recorded at a rate of 16 Hz in 17-minute bursts continuously. Atmospheric pressure, water density, sensor altitude (height), temperature, conductivity, salinity, and the specific conductivity coefficient were set to 10.1325 dbar, 1.0281 Mg/m³, 0.1 m, 0°C, 42.9140 mS/cm, 35 g/kg, and 0 respectively. 'Wave' default settings were used.\n\nWater depth\nA Garmin Aquamap 100S mounted to a boat measured channel depths at regular intervals along southern and western locations using a Garmin sounder module and transducer. No data was gathered at the eastern location due to poor weather. \n\nSoil parameters\nSoil organic matter content, conductivity (diluted in deionised water at a soil-water ratio of 1:2.5) at 25°C, moisture content, bulk density, and grain size (classified as percentage of sand, silt, and clay) were measured using IS 2720 (part 22), IS 14767, IS 2720 (part 2), IS 2720 (part 8), sieving standards respectively.\n\nCoordinates\nCoordinates were taken using Google Maps on an iPhone 13 Mini. Coordinates are expressed in WGS84 standard.\nMean and standard deviation in acceleration were calculated across 1- and 10-minute moving windows respectively. These were then used to assign inundation status (emersed (N), partially inundated (P), or fully submerged (F)) using a calibrated Quadratic Discriminant Analysis model, and current and wave orbital velocities from calibration curves (Ladd et al. 2024). Soil conductivity was converted to salinity using the 'ec2pss' package in R.\n\nNo processing was done to the wave parameter, water depth, or coordinate data.","locations":["POLYGON((87.88 21.433, 87.88 22.999, 89.099 22.999, 89.099 21.433, 87.88 21.433))"],"metadataDate":"2026-07-24T19:14:39.000Z","orcid":["0000-0001-5437-6474","0000-0002-1009-8123","0000-0001-7733-5069","0000-0002-3280-1959","0000-0002-3466-867X"],"organisation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/19dd0d35-c109-481f-bd24-2e27da5fdccb","10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb","doi:10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91","https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom…","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration."],"title":"Hydrodynamic data from embankment edges of Kumirmari island, Indian Ganges-Brahmaputra-Meghna (GBM) Delta, July-August 2022","topic":["0/Hydrology/","0/Environmental survey/","0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Middlebrook","Harrower","Milborrow","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.A.","Milborrow, J.","Roy, D.B."],"authorGivenName":["Marc S","Ian","Colin A","Jo","David B"],"authorOrcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see.\n\nSite indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK.\n\nSite indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\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":["Botham","Middlebrook","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"givenName":["Marc S","Ian","Colin A","Jo","David B","Marc"],"identifier":"53a1c705-4437-48bb-9bcd-b68977f8edd9","incomingCitationCount":0,"keyword":["Biodiversity","annual","butterflies","Leipdoptera","BReVI"],"keywordsOther":["annual","butterflies","Leipdoptera","BReVI"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Automatic checks are applied when data are entered into the Transect Walker program to alert recorders to potential data entry errors, e.g. abnormally high counts of a species or a record of species outside of its recognised flight period. The recorder is given the option to proceed with the record or to alter it appropriately. Each site data belongs to a region for which a transect coordinator is responsible. The regional coordinator has good knowledge of the sites they receive records for and checks the records for any questionable records. Data entered online is also checked by the regional transect coordinators and can be done so continuously throughout the season. Following these preliminary validation checks, the data undergoes a series of further automated and manual validation procedures including queries to check for records of species that are: recorded out of their known distribution range (using data from Butterfly Conservation's Butterflies for the New Millennium (BNM) and existing UKBMS data), recorded out of their normal flight period, recorded for the first time at a site, have extreme abundances or abundances that are markedly different to normal for a given site at a given time of year.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:04:06.000Z","orcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","NERC EDS Environmental Information Data Centre","Joint Nature Conservation Committee"],"publicationDate":"2025-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/53a1c705-4437-48bb-9bcd-b68977f8edd9","10.5285/53a1c705-4437-48bb-9bcd-b68977f8edd9","doi:10.5285/53a1c705-4437-48bb-9bcd-b68977f8edd9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely…","state":"published","title":"United Kingdom Butterfly Monitoring Scheme: site indices 2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Taylor","Dawson","D’Cruz","Jackson","Lowe","Rees","Richardson","Sains","Short","Gilbert","Reader"],"authorFullName":["Taylor, C.","Dawson, J.J.","D’Cruz, T.","Jackson, H.J.","Lowe, R.","Rees, H.","Richardson, J.","Sains, J.","Short, F.","Gilbert, F.","Reader, T."],"authorGivenName":["C.","J.J.","T.","H.J.","R.","H.","J.","F."],"authorOrcid":["0000-0003-4299-7104","0000-0002-6941-6157","0000-0002-2727-4103","0000-0001-7586-8814"],"authorRor":["https://ror.org/01ee9ar58"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Three files describe behavioural trials involving jumping spiders, crab spiders and praying mantises respectively. They include details about the individual predators, the stimuli used and the behavioural responses from the predators.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor","Dawson","D’Cruz","Jackson","Lowe","Rees","Richardson","Sains","Short","Gilbert","Reader"],"fullName":["Taylor, C.","Dawson, J.J.","D’Cruz, T.","Jackson, H.J.","Lowe, R.","Rees, H.","Richardson, J.","Sains, J.","Short, F.","Gilbert, F.","Reader, T."],"funder":["Natural Environment Research Council"],"givenName":["C.","J.J.","T.","H.J.","R.","H.","J.","F."],"grant":["NE/S000623/1"],"identifier":"ee7ba05a-449b-466e-840c-8de1d3f1d4d1","incomingCitationCount":0,"keyword":["laboratory","Animal behaviour","Batesian mimicry","insect","hoverfly","Syrphidae","wasp","hymenopteran","praying mantis","Mantidae","jumping spider","spider","Salticidae","phiddipus","audax","Thomisidae","Shiny crab-spider","Synema globosum","predator"],"keywordsOther":["Batesian mimicry","insect","hoverfly","Syrphidae","wasp","hymenopteran","praying mantis","Mantidae","jumping spider","spider","Salticidae","phiddipus","audax","Thomisidae","Shiny crab-spider","Synema globosum","predator"],"keywordsPlace":["laboratory"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"We investigated how different species of invertebrate, all potential predators of flower-visiting insects, responded to 3D printed wasp-like and fly-like stimuli. Our predators were jumping spiders, crab spiders and praying mantises. Each received training to associate wasp stimuli with a negative experience, while fly stimuli were not associated with any positive or negative experience. We then tested predator responses to a range of novel mimetic stimuli with varying levels of similarity to the wasp stimulus. The aim was to determine how accurately a stimulus needed to mimic the negatively-conditioned wasp stimulus before it would be mistaken for the wasp by the predators .\n\nBehavioural observations were conducted in real time during the experimental trials, with video recordings taken in some cases for later reference. A stopwatch was used for timings.\n\nData have been cleaned (for example, removal of invalid or unused data points) and formatted using custom scripts in R v4.3.2.","metadataDate":"2026-07-25T14:53:46.000Z","orcid":["0000-0003-4299-7104","0000-0002-6941-6157","0000-0002-2727-4103","0000-0001-7586-8814"],"organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ee7ba05a-449b-466e-840c-8de1d3f1d4d1","10.5285/ee7ba05a-449b-466e-840c-8de1d3f1d4d1","doi:10.5285/ee7ba05a-449b-466e-840c-8de1d3f1d4d1"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"shortenedDescription":"Three files describe behavioural trials involving jumping spiders, crab spiders and praying mantises respectively. They include details about the individual predators, the stimuli used and the behavioural responses from the predators.","state":"published","title":"Invertebrate behavioural responses to 3D-printed insect replicas, featuring combinations of traits from wasps and flies, in laboratory trials","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (length) data for linear features across Great Britain in 1990. The data are national estimates generated by analysing the sample data from 508 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 for 7 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","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"ebbd1ba0-4497-4c80-891a-34ef3b8989cd","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","hedges","fences","walls","tree lines","grass strips","banks"],"keywordsOther":["hedges","fences","walls","tree lines","grass strips","banks"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in the 1990s. 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 length per Land Class.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:52:40.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-10-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1406200034743","CEH:EIDC::1406200034743","https://catalogue.ceh.ac.uk/id/ebbd1ba0-4497-4c80-891a-34ef3b8989cd","10.5285/ebbd1ba0-4497-4c80-891a-34ef3b8989cd","doi:10.5285/ebbd1ba0-4497-4c80-891a-34ef3b8989cd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for linear features across Great Britain in 1990. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling…","state":"published","supplementalName":["Countryside Survey website"],"title":"Countryside Survey 1990 estimates of linear feature lengths in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson ","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson , J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"authorOrcid":["0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26 LCM2000 target or ('sub') classes. This is the most widely used version of the dataset. Level 3 gives higher class detail. However, the quality of this level of detail may vary in different areas of the country, requiring expert interpretation. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 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. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Sanderson ","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard","Wood"],"fullName":["Fuller, R.M.","Smith, G.M.","Sanderson , J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F.","Wood, C."],"givenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F.","Claire"],"identifier":"9f043047-d1c7-4852-b513-aa00204022a8","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","habitat","land cover","mapping"],"keywordsOther":["habitat","land cover","mapping"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"In a major development to earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see on-line supporting documentation.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-07-25T10:25:50.000Z","orcid":["0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287477917085","CEH:EIDC::1287477917085","https://catalogue.ceh.ac.uk/id/9f043047-d1c7-4852-b513-aa00204022a8","10.5285/9f043047-d1c7-4852-b513-aa00204022a8","doi:10.5285/9f043047-d1c7-4852-b513-aa00204022a8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26…","state":"published","title":"Land Cover Map 2000 (vector, N.Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"Land Cover Map 2025 (LCM2025) is a suite of datasets (raster, vector and csv) describing the UK land surface in 2025. They were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2025.\n\nLCM2025 includes 8 datasets:\n- Two 10 m classified pixel datasets (raster data), each classified to create a single mosaic of national land cover for Great Britain and Northern Ireland.\n- Two land parcel datasets (vector data) which are the result of intersecting each 10 m classified pixel dataset with the UKCEH land parcel spatial framework to generate land parcel attributes.\n- Two 25 m rasterised land parcel datasets: the result of rasterising the land parcel datasets into 25 m pixels.\n- A 1 km summary raster product, summarising dominant land cover class and percentage coverage of each land cover class.\n- A land cover statistics data set, with both spatial (vector) and tabular (csv) versions.\n\nLCM2025 is the thirteenth UK land cover map produced by UKCEH. Previous versions are LCM1990, 2000, 2007, 2015, 2017, 2018, 2019, 2020, 2021, 2022, 2023 and 2024. Currently only the 10 m classified pixel datasets are available, the remaining datasets will be made available in late September.","documentType":"GEMINI_DOCUMENT","identifier":"9a206086-d1e7-4cd6-918a-ee19a8708f65","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-08-28T13:20:39.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9a206086-d1e7-4cd6-918a-ee19a8708f65"],"resourceType":"Aggregation","shortenedDescription":"Land Cover Map 2025 (LCM2025) is a suite of datasets (raster, vector and csv) describing the UK land surface in 2025. They were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2025.\n\nLCM2025 includes 8 datasets:\n- Two 10 m classified…","state":"published","title":"Land Cover Map 2025 (LCM2025)","version":1.0,"view":["public","jashun"]},{"availability":"Unknown","catalogue":"eidc","description":"These data sets provide chemical and biological data from common monitoring sites across the Thames Catchment.  They comprise of comprehensive weekly water quality data at multiple sites along the River Thames and its tributaries, intermittently from 1997 to 2007 (UK Lowland River Chemistry data set), and then continuously at 22 monitoring sites at weekly intervals (from March 2009 to February 2013) as part of the CEH Thames Initiative Programme. These two chemistry data sets cover a period of rapid change in water quality across the Thames catchment, due largely to improvements in sewage treatment.\n\nIn addition, organic pollutant concentrations (11 antibiotics, 3 decongestants and an antiviral) at 21 of the CEH Thames Initiative sites from November 2009 to May 2011, and species-level macrinvertebrate community and habitat data from 14 CEH Thames Initiative sites (2009-2010) are provided. These matched observations allow links between organic and inorganic pollution to be investigated at common sites, and how these pollutants impact on river invertebrate community structure.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bowes"],"fullName":["Bowes, M."],"givenName":["M."],"identifier":"70baf58a-baec-45fb-958a-e6883f7f9f02","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-1.846 51.253, -1.846 52.176, -0.503 52.176, -0.503 51.253, -1.846 51.253))"],"metadataDate":"2026-07-25T06:51:06.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/70baf58a-baec-45fb-958a-e6883f7f9f02"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data sets provide chemical and biological data from common monitoring sites across the Thames Catchment.  They comprise of comprehensive weekly water quality data at multiple sites along the River Thames and its tributaries, intermittently from 1997 to 2007 (UK…","state":"published","title":"Water quality and biological data from the River Thames and its tributaries (1997 to 2013)","version":1.0,"view":["public","nuri"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}