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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 version supersedes the original version due to an error in the precision of the reported figures. 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Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-05-11T18:09:21.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1395928899368","CEH:EIDC::1395928899368","https://catalogue.ceh.ac.uk/id/16649ff0-af24-41b0-bcb4-15e610dac170","10.5285/16649ff0-af24-41b0-bcb4-15e610dac170","doi:10.5285/16649ff0-af24-41b0-bcb4-15e610dac170"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains operational taxonomic units for epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field,...","state":"published","title":"Operational taxonomic units for epilithon bacteria in the rivers Wolf and Tamar catchments","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jone"]},{"catalogue":"infrastructure","description":"The purpose of the PBMS Map of bird submissions is to allow users to see the UK location from which bird carcasses were submitted to the PBMS, and allow bird submitters to track the progress of 'their bird' through the submission, post mortem and tissue analysis process.\n","documentType":"infrastructurerecord","identifier":"213df295-7e40-491c-969b-e22ebace1d21","incomingCitationCount":0,"infrastructureCapabilities":"The PBMS Map of bird submissions is an interactive web-based map. Users can alter the spatial and temporal extents, search for a particular species, age or sex of bird of prey or search for the bird they submitted using a bird ID assigned by the PBMS. 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Fragments containing alder species were extracted from the National Forest Estate Sub-compartments 2019, Native Woodland Survey of Scotland and global database of host-Phytophthora detections, removing any felled areas since 2013 using the National Forest Inventory. Key risk factors (climate suitability, proximity to rivers/flooding, connectivity to other alder fragments via flood events and recent planting of alder) and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of the climate suitability models has been attempted using independent UK and European detections of Phytophthora x alni.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-02T14:45:30.000Z","orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","10.5285/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","doi:10.5285/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset scores the relative risks of Phytophthora x alni infection for 50034 fragments in Scotland identified as containing any of the three alder species susceptible to the pathogen (common alder, Italian alder and grey alder). Fragment risk scores integrate climate...","state":"published","title":"Spatial risk analysis for Phytophthora x alni infection of alder fragments in Scotland","topic":["0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University College London","Butterfly Conservation","Botanical Society of Britain and Ireland","Soldier Beetles, Jewel Beetles and Glow-worms Recording Scheme","Dipterists Forum, Hoverfly Recording Scheme","Terrestrial Heteroptera Recording Scheme","British Myriapod and Isopod Group","Aquatic Heteroptera Recording Scheme","Weevil and Bark Beetle Recording Scheme","Staphylinidae Recording Scheme","British Arachnological Society","British Dragonfly Society","Chrysomelidae Recording Scheme","Cranefly Recording Scheme","Riverfly Recording Scheme","Hoverfly Recording Scheme","Conchological Society of Great Britain and Ireland","Gelechiid Recording Scheme","Lacewings and Allies Recording Scheme","British Lichen Society","Grasshoppers and Related Insects Recording Scheme","Ground Beetle Recording Scheme","Riverfly Recording Schemes"],"authorFamilyName":["Outhwaite","Powney","August","Chandler","Rorke","Pescott","Harvey","Roy","Fox","Walker","Alexander","Ball","Bantock","Barber","Beckmann","Cook","Flanagan","Fowles","Hammond","Hepper","Hubble","Kramer","Lee","MacAdam","Morris","Norris","Palmer","Plant","Simkin","Stubbs","Sutton","Telfer","Wallace","Isaac"],"authorFullName":["Outhwaite, C.L.","Powney, G.D.","August, T.A.","Chandler, R.E.","Rorke, S.","Pescott, O.","Harvey, M.","Roy, H.E.","Fox, R.","Walker, K.","Roy, D.B.","Alexander, K.","Ball, S.","Bantock, T.","Barber, T.","Beckmann, B.C.","Cook, T.","Flanagan, J.","Fowles, A.","Hammond, P.","Harvey, P.","Hepper, D.","Hubble, D.","Kramer, J.","Lee, P.","MacAdam, C.","Morris, R.","Norris, A.","Palmer, S.","Plant, C.","Simkin, J.","Stubbs, A.","Sutton, P.","Telfer, M.","Wallace, I.","Isaac, N.J.B."],"authorGivenName":["C.L.","G.D.","T.A.","R.E.","S.","O.","M.","H.E.","R.","K.","D.B.","T.","B.C.","J.","A.","P.","D.","C.","I.","N.J.B."],"authorOrcid":["https://orcid.org/0000-0001-9997-6780","https://orcid.org/0000-0003-3313-7786","https://orcid.org/0000-0002-1116-222X","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/05jg03a59","https://ror.org/02krbn758","https://ror.org/050arpw16"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland, Wales and Northern Ireland as well as for the UK and Great Britain (GB) where possible. These data were generated using observations of species collated by UK recording schemes and societies as the input data for a Bayesian occupancy model.  The outputs resulting from this modelling framework are presented in three forms:\n•\t1000 samples from the modelled posterior distribution of the proportion of occupied sites for each species for each year and for each region analysed.\n•\tSummary tables from the model outputs detailing mean occupancy and associated statistics including credible intervals and rhat measure of convergence.\n•\tDerived species trend estimates in the form of annual percentage growth rates.\n\nAnnual estimates derived from fine-grained data (1x1km squares) have not been determined for this set of species before, making this a unique dataset that broadens knowledge on UK biodiversity change. \n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Outwaite","Outhwaite","Powney","August","Chandler","Rorke","Pescott","Harvey","Roy","Fox","Walker","Alexander","Ball","Bantock","Barber","Beckmann","Cook","Flanagan","Fowles","Hammond","Hepper","Hubble","Kramer","Lee","MacAdam","Morris","Norris","Palmer","Plant","Simkin","Stubbs","Sutton","Telfer","Wallace","Isaac"],"fullName":["Outwaite, C.","Outhwaite, C.L.","Powney, G.D.","August, T.A.","Chandler, R.E.","Rorke, S.","Pescott, O.","Harvey, M.","Roy, H.E.","Fox, R.","Walker, K.","Roy, D.B.","Alexander, K.","Ball, S.","Bantock, T.","Barber, T.","Beckmann, B.C.","Cook, T.","Flanagan, J.","Fowles, A.","Hammond, P.","Harvey, P.","Hepper, D.","Hubble, D.","Kramer, J.","Lee, P.","MacAdam, C.","Morris, R.","Norris, A.","Palmer, S.","Plant, C.","Simkin, J.","Stubbs, A.","Sutton, P.","Telfer, M.","Wallace, I.","Isaac, N.J.B."],"funder":["Natural Environment Research Council"],"givenName":["Charlie","C.L.","G.D.","T.A.","R.E.","S.","O.","M.","H.E.","R.","K.","D.B.","T.","B.C.","J.","A.","P.","D.","C.","I.","N.J.B."],"grant":["NE/R016429/1"],"identifier":"0ec7e549-57d4-4e2d-b2d3-2199e1578d84","incomingCitationCount":6,"keyword":["UK","GB","England","Scotland","Wales","Northern Ireland","Occurrence","Trends","Range","lichen","bryophyte","invertebrate","UK-SCAPE"],"keywordsOther":["Occurrence","Trends","Range","lichen","bryophyte","invertebrate","UK-SCAPE"],"keywordsPlace":["UK","GB","England","Scotland","Wales","Northern Ireland"],"licence":"Open government licence","lineage":"These data were generated using observations of species occurrence as the input data for a Bayesian occupancy model.  The modelling framework implemented was based on that developed to improve precision of occupancy estimates when using biological records type data (Outhwaite et al., 2018; https://doi.org/10.1016/j.ecolind.2018.05.010).  This allowed the estimation of species occupancy for the largest set of UK species to date.\n\nThe input data used for this study consisted of species occurrence data collated from 29 UK recording schemes and societies.  These data are presence only data that consist of a record of a species at a known time and location.  Where possible, these input data were supplemented with additional occurrence data in the same form from the Biological Records Centre database and the wildlife recording app iRecord (https://www.brc.ac.uk/irecord/)\n\nThese input datasets were then standardized according to the requirements of the model and to desired coverage.  Observations of species had to meet the following criteria to be included in the final input dataset:\n- Date of the record known to the day\n- Location of the record known to 1x1km square precision\n- Record was from 1970 onwards\n- The location of the record was in the UK (strictly England, Northern Ireland, Scotland and Wales)\n\nSpecies names were checked with guidance from the scheme organisers, duplicate records were then removed from the dataset.\nThe occupancy modelling framework used here was based on the random walk model tested by Outhwaite et al., 2018.  Alterations made to the modelling framework include country level year effects in the state model and a categorical specification of list length in the detection model.  For a complete description of the model and the changes implemented, see the associated data paper.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:15:28.000Z","orcid":["https://orcid.org/0000-0001-9997-6780","https://orcid.org/0000-0003-3313-7786","https://orcid.org/0000-0002-1116-222X","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-4869-8052"],"organisation":["Centre for Biodiversity and Environment Research, University College London (UCL)","Centre for Ecology & Hydrology","University College London","Butterfly Conservation","Botanical Society of Britain and Ireland","Soldier Beetles, Jewel Beetles and Glow-worms Recording Scheme","Dipterists Forum, Hoverfly Recording Scheme","Terrestrial Heteroptera Recording Scheme","British Myriapod and Isopod Group","Aquatic Heteroptera Recording Scheme","Weevil and Bark Beetle Recording Scheme","Staphylinidae Recording Scheme","British Arachnological Society","British Dragonfly Society","Chrysomelidae Recording Scheme","Cranefly Recording Scheme","Riverfly Recording Scheme","Hoverfly Recording Scheme","Conchological Society of Great Britain and Ireland","Gelechiid Recording Scheme","Lacewings and Allies Recording Scheme","British Lichen Society","Grasshoppers and Related Insects Recording Scheme","Ground Beetle Recording Scheme","Riverfly Recording Schemes","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2019-03-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ec7e549-57d4-4e2d-b2d3-2199e1578d84","10.5285/0ec7e549-57d4-4e2d-b2d3-2199e1578d84","doi:10.5285/0ec7e549-57d4-4e2d-b2d3-2199e1578d84"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/05jg03a59","https://ror.org/02krbn758","https://ror.org/050arpw16","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland,...","state":"published","supplementalDescription":["Outhwaite, C. L., Chandler, R. E., Powney, G. D., Collen, B., Gregory, R. D., & Isaac, N. J. B. (2018). Prior specification in Bayesian occupancy modelling improves analysis of species occurrence data. Ecological Indicators, 93, 333-343."],"supplementalName":["Shiny app","iRecord"],"title":"Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK (1970-2015) ","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Iwanicka","Duarte","Stephens"],"authorFullName":["Iwanicka, A.","Duarte, F.","Stephens, A."],"authorGivenName":["A.","F."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"ukscape","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise monthly ammonia air concentrations from UK CEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites from January 2022 to December 2022. The UK Eutrophying and Acidifying atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites across the UK. Originally the purpose of these measurements was for a calibrated ALPHA® uptake rate for the UK CEH Edinburgh research laboratory. Samplers are exposed in monthly cycles at the beginning of each month.","documentType":"LINK_DOCUMENT","familyName":["Iwanicka","Duarte","Stephens"],"fullName":["Iwanicka, A.","Duarte, F.","Stephens, A."],"funder":["Natural Environment Research Council"],"givenName":["Agata","A.","F."],"grant":["NE/R016429/1"],"identifier":"c51c5b5b-9f12-4ce9-aabe-f28d83c04d0e","incomingCitationCount":0,"keyword":["d57abebf-b172-4d62-95b5-bd8d5cef2671","ammonia","Ammonia monitoring","passive sampler","uptake rate","Air","Air Quality","Clean air"],"keywordsOther":["ammonia","Ammonia monitoring","passive sampler","uptake rate","Air","Air Quality","Clean air"],"keywordsProject":["d57abebf-b172-4d62-95b5-bd8d5cef2671"],"licence":"Open government licence","lineage":"Local site operator duties are completed by UK Centre for Ecology and Hydrology (UKCEH) staff and Agri-Food and Biosciences Institute (AFBI) staff at Hillsborough and analysis is completed by UKCEH Edinburgh. Data analysis and preparation is conducted using the AAGA (Ammonia Acids Gases and Aerosols) data processing tool. AAGA is a database designed to introduce more reliable, reproductible and traceable way of handling data from ALPHA® samplers.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:19:36.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d57abebf-b172-4d62-95b5-bd8d5cef2671","10.5285/d57abebf-b172-4d62-95b5-bd8d5cef2671","doi:10.5285/d57abebf-b172-4d62-95b5-bd8d5cef2671"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise monthly ammonia air concentrations from UK CEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites from January 2022 to December 2022. The UK Eutrophying and Acidifying atmospheric Pollutants (UKEAP) network measures...","state":"published","title":"Monthly ammonia measurements from passive samplers using ALPHA® PTFE1010 membrane at four UK Eutrophying and Acidifying Pollutants (UKEAP) network sites, 2022","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Thomas","Cosby","Henrys","Emmett"],"authorFullName":["Thomas, A.R.C.","Cosby, B.J.","Henrys, P.A.","Emmett, B.A."],"authorGivenName":["A.R.C.","B.J.","P.A.","B.A."],"authorOrcid":["https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"ukscape","dataFormat":["NetCDF"],"description":"This dataset presents modelled estimates of soil nitrogen concentration (% dry weight soil) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil nitrogen data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The model is based on soil nitrogen data from 913 locations across Great Britain and is representative of 0-15 cm soil depth. Soil N concentration was determined using a total elemental analyser. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. \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":"LINK_DOCUMENT","familyName":["Thomas","Cosby","Henrys","Emmett"],"fullName":["Thomas, A.R.C.","Cosby, B.J.","Henrys, P.A.","Emmett, B.A.","Henrys, P."],"funder":["Natural Environment Research Council"],"givenName":["A.R.C.","B.J.","P.A.","B.A.","Pete"],"grant":["NE/R016429/1"],"identifier":"ff978e68-79a7-4cdd-b347-bee0d93cd7a0","incomingCitationCount":0,"keyword":["UK-SCAPE","Soil","Parent Material Model","Countryside Survey","Broad Habitat","nitrogen","pollutant deposition","climate","habitat","soil","Soil health"],"keywordsOther":["Parent Material Model","Countryside Survey","Broad Habitat","nitrogen","pollutant deposition","climate","habitat","soil","Soil","Soil health"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"The data used to model soil nitrogen concentration are taken from the Countryside Survey. The technical reports by Emmett et al. (2010) present full methodological details for the Countryside Survey soil sampling and analytical processes, and can be found at: http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:03:25.000Z","orcid":["https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-11-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8ec2d5ae-5d19-4b58-8cf6-aafdad485bb2","10.5285/8ec2d5ae-5d19-4b58-8cf6-aafdad485bb2","doi:10.5285/8ec2d5ae-5d19-4b58-8cf6-aafdad485bb2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents modelled estimates of soil nitrogen concentration (% dry weight soil) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil nitrogen data from 2007 and including climate, atmospheric...","state":"published","title":"Topsoil nitrogen concentration estimates from the Countryside Survey of Great Britain, 2007 using a generalized additive model","topic":["0/Soil/"],"version":1.0,"view":["public","rhicha"]},{"authorAffiliation":["Institute of Terrestrial Ecology"],"authorFamilyName":["Bunce","Hornung","Hatton","Stevens","Cummins","French"],"authorFullName":["Bunce, R.G.H.","Hornung, M.","Hatton, A.","Stevens, P.A.","Cummins, R.","French, D."],"authorGivenName":["R.G.H","M.","A.","P.A.","R.","D."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of soil physico-chemical properties (pH and loss on ignition) from soils sampled across Great Britain in 1978. The Countryside Survey 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 been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, 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 soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Hornung","Hatton","Stevens","Cummins","French","Wood"],"fullName":["Bunce, R.G.H.","Hornung, M.","Hatton, A.","Stevens, P.A.","Cummins, R.","French, D.","Wood, C."],"givenName":["R.G.H","M.","A.","P.A.","R.","D.","Claire"],"identifier":"85c71959-0f7c-4f04-b3a7-152673107a85","incomingCitationCount":1,"keyword":["Great Britain","Soil","Environmental survey"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Non-Open government licence","lineage":"Soil samples were collected in the summers of 1977 and 1978 by field surveyors. Data were recorded from up to 256 1km squares sited across Britain, selected by random stratified sample. Samples were analysed according to standardised protocols at the Institute of Terrestrial Ecology, Merlewood in 1977 and 1978. data are managed by the Centre for Ecology ad Hydrology. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:24:59.000Z","organisation":["Institute of Terrestrial Ecology","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2016-06-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/85c71959-0f7c-4f04-b3a7-152673107a85","10.5285/85c71959-0f7c-4f04-b3a7-152673107a85","doi:10.5285/85c71959-0f7c-4f04-b3a7-152673107a85"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of soil physico-chemical properties (pH and loss on ignition) from soils sampled across Great Britain in 1978. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from...","state":"published","supplementalDescription":["Emmett, B.A.; Reynolds, B.; Chamberlain, P.M.; Rowe, E.; Spurgeon, D.; Brittain, S.A.; Frogbrook, Z.; Hughes, S.; Lawlor, A.J.; Poskitt, J.; Potter, E.; Robinson, D.A.; Scott, A.; Wood, C.; Woods, C.. 2010 Countryside Survey: Soils Report from 2007. NERC/Centre for Ecology & Hydrology, 192pp. (CS Technical Report No. 9/07, CEH Project Number: C03259)"],"supplementalName":["Countryside Survey website"],"title":"Soil physico-chemical properties 1978 [Countryside Survey]","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"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":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2018 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators of classification confidence.  For a fuller description please refer to the product 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 Northern Ireland (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":"396c1249-84f0-4ca0-891d-4188d750c1ee","incomingCitationCount":0,"keyword":["Land cover","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-05-11T18:06:36.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/396c1249-84f0-4ca0-891d-4188d750c1ee","10.5285/396c1249-84f0-4ca0-891d-4188d750c1ee","doi:10.5285/396c1249-84f0-4ca0-891d-4188d750c1ee"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats....","state":"published","title":"Land Cover Map 2018 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Loughborough University"],"authorFamilyName":["Radbourne","Ryves","Anderson"],"authorFullName":["Radbourne, A.D.","Ryves, D.B.","Anderson, N.J."],"authorGivenName":["A.D.","D.B.","N.J."],"authorOrcid":["https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-0037-0306"],"authorRor":["https://ror.org/04vg4w365"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes catchment stream inflow and outflow rates, secchi depth, chlorophyll, phytoplankton counts and nutrient concentrations for the lake, inflow, outflow and groundwater spring. The measurements are from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between the catchment hydrology and in-lake nutrient loads for assessment of the current catchment nutrient budget. The monitoring study covered a period from January 2016 to January 2017. All data is presented with date, flow rate, nutrient and chlorophyll concentrations and phytoplankton species abundance. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1].","documentType":"GEMINI_DOCUMENT","familyName":["Radbourne","Ryves","Anderson"],"fullName":["Radbourne, A.D.","Ryves, D.B.","Anderson, N.J.","Radbourne, A."],"funder":["Natural Environment Research Council"],"givenName":["A.D.","D.B.","N.J.","Alan"],"grant":["NE/L002493/1"],"identifier":"5c6b2bcb-6b10-4c57-a595-ce94a655e709","incomingCitationCount":0,"keyword":["Rostherne Mere","phytoplankton","chlorophyll","catchment","lake","monitoring","flow","Flow rate"],"keywordsOther":["phytoplankton","chlorophyll","catchment","lake","monitoring","flow","Flow rate"],"keywordsPlace":["Rostherne Mere"],"licence":"Open government licence","lineage":"Water samples were collected approximately every 3 weeks from the lake, main inflow, main outflow and groundwater spring, with multiple water column depth samples (6, 12, 18 and 24 m) added to collection from September 2016. Water samples were analysed for orthophosphate (soluble reactive phosphorus; SRP), total phosphorus (TP), dissolved inorganic nitrogen (DIN) and dissolved silicate (DSi). An integrated water column sample (0-8 m) from the central lake location was collected for phytoplankton identification and chlorophyll analysis. Secchi depth at a central lake location was also recorded during each visit. Inflow and outflow discharge was determined by calculating a linear discharge relationship between cross-sectional profiles and sectional velocities recorded for a range of stage heights. This empirical stage-discharge relationship was then applied to continuous stage heights measurements recorded using a mini-diver data logger, recording water pressure every 5 minutes and calibrated to a barometer located at the lake shore. The data was collated to Excel spreadsheets held by the lead author at Loughborough University. For ingestion into the Environmental Information data was extracted from the Excel spreadsheets and converted into a comma separated file. ","locations":["POLYGON((-2.397 53.346, -2.397 53.36, -2.369 53.36, -2.369 53.346, -2.397 53.346))"],"metadataDate":"2026-05-11T18:26:50.000Z","orcid":["https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-0037-0306"],"organisation":["Loughborough University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-08-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5c6b2bcb-6b10-4c57-a595-ce94a655e709","10.5285/5c6b2bcb-6b10-4c57-a595-ce94a655e709","doi:10.5285/5c6b2bcb-6b10-4c57-a595-ce94a655e709"],"resourceType":"Dataset","ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes catchment stream inflow and outflow rates, secchi depth, chlorophyll, phytoplankton counts and nutrient concentrations for the lake, inflow, outflow and groundwater spring. The measurements are from a PhD research project at Rostherne Mere in Cheshire....","state":"published","title":"Lake and catchment nutrient, ecology and hydrology monitoring of Rostherne Mere, Cheshire, UK (2016-2017)","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Heriot-Watt University"],"authorFamilyName":["Visser-Quinn","Ncube","Beevers","Adeloye"],"authorFullName":["Visser-Quinn, A.","Ncube, S.","Beevers, L.","Adeloye, A.J."],"authorGivenName":["A.","S.","L.","A.J."],"authorOrcid":["https://orcid.org/0000-0003-1787-6239","https://orcid.org/0000-0001-6930-9135","https://orcid.org/0000-0002-1597-273X","https://orcid.org/0000-0002-2820-4596"],"authorRor":["https://ror.org/04mghma93"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included are site location information (latitude and longitude).\n\nThe data were collected by Heriot-Watt University under the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project funded by NERC.","documentType":"GEMINI_DOCUMENT","familyName":["Visser-Quinn","Ncube","Beevers","Adeloye"],"fullName":["Visser-Quinn, A.","Ncube, S.","Beevers, L.","Adeloye, A.J.","Adeloye, A."],"funder":["Natural Environment Research Council"],"givenName":["A.","S.","L.","A.J.","Adebayo"],"grant":["NE/N016394/1"],"identifier":"6bfc1787-354d-454f-8277-d9edb1e6455a","incomingCitationCount":0,"keyword":["Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat)","Environmental survey","river","invertebrate"],"keywordsOther":["river","invertebrate"],"keywordsProject":["Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat)"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Macroinvertebrate kick-sampling data were collected at four sites on the River Beas, India on the 3rd and 4th November 2017 following the UK Environment Agency's standard semi-quantitative protocol (Murray-Bligh, 1999).","locations":["POLYGON((74.498 30.714, 74.498 32.156, 76.301 32.156, 76.301 30.714, 74.498 30.714))"],"metadataDate":"2026-05-11T18:15:48.000Z","orcid":["https://orcid.org/0000-0003-1787-6239","https://orcid.org/0000-0001-6930-9135","https://orcid.org/0000-0002-1597-273X","https://orcid.org/0000-0002-2820-4596"],"organisation":["Heriot-Watt University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6bfc1787-354d-454f-8277-d9edb1e6455a","10.5285/6bfc1787-354d-454f-8277-d9edb1e6455a","doi:10.5285/6bfc1787-354d-454f-8277-d9edb1e6455a"],"resourceType":"Dataset","rightsHolder":["Heriot-Watt University"],"ror":["https://ror.org/04mghma93","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included...","state":"published","supplementalDescription":["Quality management systems for environmental monitoring: biological \ntechniques, BT001. Procedure for collecting and analysing macro-invertebrate samples. Version 2.0. Environment Agency: Bristol.\n"],"supplementalName":["Murray-Bligh, J. 1999","SusHi-Wat: Sustaining Himalayan Water Resources in a Changing Climate website","UKRI grant information on SusHi-Wat"],"title":"Macroinvertebrate sampling in the River Beas, India, 2017","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor","Doeser","Grant","Olszewska","May","McKenzie"],"authorFullName":["Taylor, P.J.","Doeser, A.","Grant, A.","Olszewska, J.P.","May, L.","McKenzie, R."],"authorGivenName":["P.J.","A.","J.P.","L.","R."],"authorOrcid":["https://orcid.org/0000-0003-1663-9426","https://orcid.org/0009-0005-7203-3260","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2023. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing were 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":["Taylor","Doeser","Grant","Olszewska","May","McKenzie"],"fullName":["Taylor, P.J.","Doeser, A.","Grant, A.","Olszewska, J.P.","May, L.","McKenzie, R."],"funder":["Natural Environment Research Council"],"givenName":["P.J.","A.","J.P.","L.","R."],"grant":["NE/R016429/1"],"identifier":"7f54e033-01b3-4ac3-bd9c-75e52dbaa9be","incomingCitationCount":0,"keyword":["Loch Leven","Scotland","UK","UK-SCAPE","crustacean zooplankton","lakes","water chemistry","water quality"],"keywordsOther":["crustacean zooplankton","lakes","water chemistry","water quality"],"keywordsPlace":["Loch Leven","Scotland","UK"],"keywordsProject":["UK-SCAPE"],"licence":"Open government licence","lineage":"The data was collected from fieldwork at Loch Leven during 2023 and recorded into a database with some samples being processed in the laboratory first. All data has been through a QA process, which is detailed in the metadata document.","locations":["POLYGON((-3.424 56.171, -3.424 56.224, -3.319 56.224, -3.319 56.171, -3.424 56.171))"],"metadataDate":"2026-05-11T18:27:02.000Z","orcid":["https://orcid.org/0000-0003-1663-9426","https://orcid.org/0009-0005-7203-3260","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f54e033-01b3-4ac3-bd9c-75e52dbaa9be","10.5285/7f54e033-01b3-4ac3-bd9c-75e52dbaa9be","doi:10.5285/7f54e033-01b3-4ac3-bd9c-75e52dbaa9be"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2023. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring...","state":"published","title":"Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2023","version":1.0,"view":["public","elsdhi"]},{"altTitle":["Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project","Ecosystem Services for Poverty Alleviation (ESPA) programme"],"authorAffiliation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh"],"authorFamilyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"authorFullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"authorGivenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"authorOrcid":["https://orcid.org/0000-0002-5019-1015","https://orcid.org/0000-0002-5119-5894","https://orcid.org/0000-0001-7552-7470"],"authorRor":["https://ror.org/02srvn192","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Rich text format"],"description":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood, wood for charcoal production, etc.) and their causes (e.g. change in land use) in rural Mozambique.\n\nInformation was gathered at 20 workshops held in Maputo, Xai Xai, Lichinga, Quelimane, and at village level in the districts of Mabalane, Marrupa and Gurue in 2014 and 2015. The objective of the workshops was to examine aspects that influence well-being and their causes in the miombo woodland area of rural Mozambique. One of the objectives of the project was to construct Bayesian belief networks (BBNs) to model future land use change scenarios in rural Mozambique using a participatory approach, to evaluate the consequences of deforestation in the well-being of the rural population.\n \nThe data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project and were funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme, funded by NERC, the Economic & Social Research Council (ESRC) and the Department for International Development (DfID), the three are government organizations from UK. The project was led by the University of Edinburgh, with the collaboration of the Universidad Mondlane, the IIED, and other organizations. ","documentType":"GEMINI_DOCUMENT","familyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"fullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"funder":["Natural Environment Research Council"],"givenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"grant":["NE/K010395/1"],"identifier":"14622c4b-8bd4-4624-8ea6-35da7da211cd","incomingCitationCount":0,"keyword":["Mozambique","miombo woodland","ACES","ESPA programme","Ecosystem services"],"keywordsPlace":["Mozambique","miombo woodland"],"keywordsProject":["ACES","ESPA programme"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"The data were collected during the development of 20 workshops. Four of them were in cities, and the rest in rural villages. The first type of workshops were divided in two parts, one devoted to Bayesian belief networks (BBN) and the second to scenario construction. \n\nThe data was collected in different ways and formats: 1) one to three persons took notes during the workshops; 2) we recorded most of the discussions after obtaining the acceptance from the participants for doing so; 3) we took pictures of the materials generated, with the necessary quality to read and interpret the content. \n\nTwo persons were in charge of writing down the results from the workshops in the presented documents: one of them wrote a first version, which was then reviewed by a second person. Both persons had been present during the workshops. Both of them did a final review of the documents, and then were approved as official results from the project. ","locations":["POLYGON((30.21 -26.92, 30.21 -10.33, 41.05 -10.33, 41.05 -26.92, 30.21 -26.92))"],"metadataDate":"2026-05-11T18:13:36.000Z","orcid":["https://orcid.org/0000-0002-5019-1015","https://orcid.org/0000-0002-5119-5894","https://orcid.org/0000-0001-7552-7470"],"organisation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-11-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/14622c4b-8bd4-4624-8ea6-35da7da211cd","10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd","doi:10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/02srvn192","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood,...","state":"published","supplementalDescription":["Understanding Land Use, Land Cover and Woodland-Based Ecosystem Services Change, Mabalane, Mozambique. 2017 Mansour Mahamane, Pedro Zorrilla-Miras, Peter Verweij, Casey Ryan, Genevieve Patenaude, Isla Grundy, Isilda Nhantumbo, Marc Metzger, Natasha Ribeiro, Sophia Baumert, Frank Vollmer. Energy and Environment Research; Vol. 7, No. 1, doi:10.5539/eer.v7n1p1 ","Environmental Conservation and Social Benefits of Charcoal Production in Mozambique. 2017. Pedro Zorrilla-Miras, Mansour Mahamane, Marc J. Metzger, Sophia Baumert, Frank Vollmer, Ana Catarina Luz, Emily Woollen, Almeida A. Sitoe, Genevieve Patenaude, Isilda Nhantumbo, Casey M.Ryan, James Paterson, Maria Juliet Matediane, Natasha Sofian Ribeiro, Isla M.Grundy. Ecological Economics Volume 144, February 2018, Pages 100-111\n","Making the links between woodlands and wellbeing: a multi-stakeholder approach. Isilda Nhantumbo, Pedro Zorrilla Miras, Maria Julieta Matediane, Genevieve Patenaude, Marc Metzger, James Paterson, Luis Artur, Mansour Mahamane, Almeida Sitoe"],"supplementalName":["Ecosystems Services for Poverty Alleviation (ESPA) programme","ACES project: livelihoods and land use change in Mozambique Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands?"],"title":"Causal diagrams linking rural well-being with forest ecosystem services in Mozambique (2014 and 2015)","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","jgar"]},{"catalogue":"ukceh","documentType":"monitoring-facility","facilityType":"platform","identifier":"7e464cae-3fd2-4873-9a51-b9d5fe200b3b","incomingCitationCount":0,"locations":["POINT(-0.9484 51.8394)"],"metadataDate":"2026-04-30T12:19:05.000Z","operatingPeriod":["[2013-11-04 TO *]"],"operationalStatus":"Unknown","recordType":"Monitoring facility","resourceIdentifier":["WADDN","cosmos:WADDN","https://catalogue.ceh.ac.uk/id/7e464cae-3fd2-4873-9a51-b9d5fe200b3b"],"resourceType":"Monitoring facility","state":"published","title":"Waddesdon","version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"Land Cover Map 2021 (LCM2021) is a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2021. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2021.\n\nLCM2021 includes four geospatial datasets each for Great Britain and Northern Ireland:\n - 10 m Classified Pixel dataset, classified to create a single mosaic of national cover\n - Land Parcel datasets which are the result of intersecting the 10 m Classified Pixel dataset with the UKCEH Land Parcel Spatial Framework to generate land parcel attributes\n - 25 m Pixel Rasterised Land Parcel datasets: the result of rasterising the Land Parcel dataset into 25 m pixels\n - 1 km summary raster products, summarising dominant land cover class and percentage coverage of each land cover class\n\nLCM2021 is the ninth UK land cover map produced by UKCEH. Previous versions are LCM1990, 2000, 2007, 2015, 2017, 2018, 2019 and 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"017313c6-954b-4343-8784-3d61aa6e44da","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-03-26T13:33:19.000Z","organisation":["UK Centre for Ecology & Hydrology"],"publicationDate":"2022-10-31T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/017313c6-954b-4343-8784-3d61aa6e44da"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"Land Cover Map 2021 (LCM2021) is a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2021. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2021.\n\nLCM2021 includes four geospatial...","state":"published","title":"Land Cover Map 2021","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Nairobi","International Livestock Research Institute (ILRI) Kenya"],"authorFamilyName":["Bukachi","Mwihaki","Grace","Bett"],"authorFullName":["Bukachi, S.A.","Mwihaki, C.","Grace, D.","Bett, B."],"authorGivenName":["S.A","C.","D.","B."],"authorOrcid":["https://orcid.org/0000-0002-1931-1891","https://orcid.org/0000-0002-0195-9489","https://orcid.org/0000-0001-9376-2941"],"authorRor":["https://ror.org/02y9nww90","https://ror.org/01jxjwb74"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text","Comma-separated values (CSV)"],"description":"The data comprises of two datasets. The first consists of text files of anonymised transcripts from focus group discussions (FGDs) on livelihood activities, ecosystem services and the prevalent human and animal health problems in irrigated and non-irrigated areas in northeastern Kenya. The second comprises of scores from proportional piling exercises which showed the distribution of wealth categories and livestock species kept. The study was conducted between August and October, 2013 and the data were collected as open-ended meeting notes and audio clips captured using digital recorders. Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. Thirteen FGDs were held in the irrigated areas in Bura and Hola, Tana River County involving farmers who grew a variety of crops for subsistence and commercial purposes. The others were held in Ijara and Sangailu, Garissa County inhabited by transhumance pastoralists. Each group comprised of 10 to 12 people and the discussions were guided by a check list. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. The aim of the study was to collate perceptions of land use change and their effects on ecosystem services.\n\nThe data were collected by enumerators trained by experienced researchers from the University of Nairobi and the International Livestock Research Institute (Kenya).\n\nThis dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the CGIAR Research Program Agriculture for Nutrition and Health.","documentType":"GEMINI_DOCUMENT","familyName":["Bett","Bukachi","Mwihaki","Grace"],"fullName":["Bett, B.","Bukachi, S.A.","Mwihaki, C.","Grace, D."],"givenName":["B.","S.A","C.","D."],"identifier":"4f569d73-30c5-4b12-bca7-8901fb567594","incomingCitationCount":1,"keyword":["Kenya","Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)","Ecosystem services","pastoralism","wealth categories","livelihoods","ecosystem services","irrigation","infectious disease"],"keywordsOther":["pastoralism","wealth categories","livelihoods","ecosystem services","irrigation","infectious disease"],"keywordsPlace":["Kenya"],"keywordsProject":["Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"Records from the digital recorders were transcribed and cross-checked with the notes made in the course of the meeting for quality control.  Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. Transcripts were analysed according to the framework developed by Hennink et al. (2011). The data were split into two: (i) responses to open ended questions stored as text files, and (ii) scores from proportional piling exercises which showed the distribution of wealth categories (rich, moderate and poor categories) and livestock species kept (cattle, sheep, goats, camels, chicken and donkeys). These scores were entered into Microsoft Excel and saved as a csv file for use in statistical analysis that employed non-parametric tests. Variables that are common between these two datasets are: date of the field survey (date), study site, village and group (men only, women only or mixed) involved in the discussions. Data was exported from the Excel files as .csv files for ingestion into the EIDC. The Microsoft Word files were exported as .txt files for ingestion into the EIDC.","locations":["POLYGON((38.93 -1.89, 38.93 -0.64, 41.14 -0.64, 41.14 -1.89, 38.93 -1.89))"],"metadataDate":"2026-05-11T18:24:48.000Z","orcid":["https://orcid.org/0000-0001-9376-2941","https://orcid.org/0000-0002-1931-1891","https://orcid.org/0000-0002-0195-9489"],"organisation":["International Livestock Research Institute (ILRI) Kenya","University of Nairobi","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4f569d73-30c5-4b12-bca7-8901fb567594","10.5285/4f569d73-30c5-4b12-bca7-8901fb567594","doi:10.5285/4f569d73-30c5-4b12-bca7-8901fb567594"],"resourceType":"Dataset","ror":["https://ror.org/01jxjwb74","https://ror.org/02y9nww90","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprises of two datasets. The first consists of text files of anonymised transcripts from focus group discussions (FGDs) on livelihood activities, ecosystem services and the prevalent human and animal health problems in irrigated and non-irrigated areas in...","state":"published","title":"Qualitative data on land use change and ecosystem services from participatory surveys in northeastern, Kenya (August-October, 2013)","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Beadle","Holden","Brown"],"authorFullName":["Beadle, J.M.","Holden, J.","Brown, L.E."],"authorGivenName":["J.M.","J.","Lee E."],"authorOrcid":["https://orcid.org/0000-0002-1108-4831","https://orcid.org/0000-0002-2420-0088"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Physical, chemical and biological data collected from peatland ponds in the Pennines, UK. Ponds sampled include those created during peatland rewetting as well as naturally-formed ponds. \n\nBiological data are aquatic invertebrate abundances in ponds, with physical and chemical data measured concurrently.","documentType":"GEMINI_DOCUMENT","familyName":["Brown","Beadle","Holden"],"fullName":["Brown, L.E.","Beadle, J.M.","Holden, J."],"givenName":["Lee E.","J.M.","J."],"identifier":"3dc020e5-fa39-4f14-ab6a-b8592b8332f3","incomingCitationCount":0,"keyword":["Moor House","Cold Fell","Tennant Gill","Yad Moss","Oughtershaw Beck","Widdybank Fell","Halton Lea","Butterburn Flow","Geltsdale","Macroinvertebrates","Chronosequence","total dissolved phosphorus","dissolved aluminium","total dissolved nitrogen","dissolved oxygen","dissolved organic carbon","dissolved iron","pH","water temperature","Chironomidae","Coleoptera","Hemiptera","Diptera","Plecoptera","Odonata","bugs","stone flies","dragonflies","damselflies","true flies","beetle","dissolved silica","vegetation","pond"],"keywordsOther":["Moor House","Cold Fell","Tennant Gill","Yad Moss","Oughtershaw Beck","Widdybank Fell","Halton Lea","Butterburn Flow","Geltsdale","Macroinvertebrates","Chronosequence","total dissolved phosphorus","dissolved aluminium","total dissolved nitrogen","dissolved oxygen","dissolved organic carbon","dissolved iron","pH","water temperature","Chironomidae","Coleoptera","Hemiptera","Diptera","Plecoptera","Odonata","bugs","stone flies","dragonflies","damselflies","true flies","beetle","dissolved silica","vegetation","pond"],"licence":"Open government licence","lineage":"Macroinvertebrate samples were collected using a long-handled net (250 µm mesh). Two minute samples were collected from across all mesohabitats (i.e. open water, floating vegetation, littoral vegetation, bottom sediments) and then an additional one minute was spent searching for surface dwelling taxa. Percent vegetation coverage in each pond (primarily Sphagnum growth) was estimated visually on site prior to sampling.\n\nSamples were preserved in 70 % methylated spirits and transported to the laboratory. After sorting, macroinvertebrates were identified to species level (where possible) under a light microscope (up to x40 magnification) using standard keys. Where Chironomidae abundance totalled >50 individuals, sub-samples were extracted (n=50) for identification to the lowest possible taxonomic resolution. Individuals were immersed in a solution of 10% potassium hydroxide and heated to 70°C for 10 minutes. The chironomids were then transferred into a solution of 95% glacial acetic acid for five minutes, then 80% methylated spirits for five minutes before being stored 100% methylated spirits. Individuals were mounted on slides using Euparal and identified using a compound microscope.\n\nFor each pond, the altitude (m) and location were recorded using a Garmin eTrex Handheld GPS Navigator. Aspect was later calculated by cross-referencing co-ordinates with the Ordnance Survey Terrain50 grid. Pond long axes, short axes and perimeters were measured on site with a tape measure. A minimum of 40 depth measurements were taken in each pond, with more measurements in larger ponds. The approximate water volume was estimated by multiplying the surface area (calculated by multiplying long and short axes) by mean depth. \n\nDissolved oxygen (DO), water temperature and pH were measured on site using a portable HACH HQ30d meter, with the sensor placed in the upper 10cm of the water column. The pH sensor failed during month 12 sampling, therefore missing values were determined using the relationship between pH~[Mg] across all other samples (r=0.81). A 50 mL water sample was filtered on site (0.45-µm filter) and subsequently analysed for total nitrogen (TN), total phosphorus (TP), dissolved organic carbon (DOC), aluminium (Al), iron (Fe) and Silica (Si) using an Analytikjena multi N/C(R) 2100, a San++ Automated Continuous Flow Analyzer and a Thermo Fisher Scientific iCAP7600 Duo ICP-OES.","locations":["POLYGON((-2.5 54.21, -2.5 55.07, -2.23 55.07, -2.23 54.21, -2.5 54.21))"],"metadataDate":"2026-05-11T17:42:06.000Z","orcid":["https://orcid.org/0000-0002-2420-0088","https://orcid.org/0000-0002-1108-4831"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3dc020e5-fa39-4f14-ab6a-b8592b8332f3","10.5285/3dc020e5-fa39-4f14-ab6a-b8592b8332f3","doi:10.5285/3dc020e5-fa39-4f14-ab6a-b8592b8332f3"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"Physical, chemical and biological data collected from peatland ponds in the Pennines, UK. Ponds sampled include those created during peatland rewetting as well as naturally-formed ponds. \n\nBiological data are aquatic invertebrate abundances in ponds, with physical and...","state":"published","title":"Physical, chemical and biological data from peatland ponds, Pennines, UK, 2012-2014","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Maskell","Henrys","Norton","Smart"],"authorFullName":["Maskell, L.","Henrys, P.A.","Norton, L.","Smart, S."],"authorGivenName":["L.","P.A.","S."],"authorOrcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset models positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data). ","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Henrys","Norton","Smart"],"fullName":["Maskell, L.","Henrys, P.A.","Norton, L.","Smart, S."],"givenName":["L.","P.A.","S."],"identifier":"cc5ae9b1-43a0-475e-9157-a9b7fccb24e7","incomingCitationCount":0,"keyword":["Countryside Survey","Biodiversity","Broad Habitats","Priority Habitats","Common Standards Monitoring"],"keywordsOther":["Broad Habitats","Priority Habitats","Common Standards Monitoring"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"This dataset was created from Countryside Survey 2007 area (x,y,u) vegetation plot data. Each plot was classified to a Broad Habitat type. In each plot the number of positive habitat indicators for the Habitat type that it was classified to were counted. These positive indicators were taken from a list of plant species characteristic of each Broad Habitat created from Common Standards Monitoring Guidance and in consultation with the Botanical Society of the British Isles (BSBI) - it has been provided with this dataset. This count was then divided by the total number of positive indicators that could have been found in that habitat type and multiplied by 100. The data was extrapolated to 1km squares across GB using a generalised additive mixed model incorporating the 1km square as a random variable to account for spatial autocorrelation between plots in the same square. A poisson distribution was specified. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in an SSSI (presence or absence data).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:05:11.000Z","orcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-2750-7832"],"organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Natural England"],"publicationDate":"2016-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7","10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7","doi:10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7"],"resourceType":"Dataset","rightsHolder":["Natural England"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00r66pz14"],"shortenedDescription":"This dataset models positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In...","state":"published","title":"Model estimates of expected diversity of positive plant habitat condition indicators","topic":["0/Biodiversity/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["University of York"],"authorFamilyName":["Pateman","Thomas","Hayward","Hill"],"authorFullName":["Pateman, R.M.","Thomas, C.D.","Hayward, S.A.L.","Hill, J.K."],"authorGivenName":["R.M.","C.D.","S.A.L.","J.K."],"authorOrcid":["https://orcid.org/0000-0002-2260-170X"],"authorRor":["https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The datasets were collected during experiments undertaken to examine survival rates and larval performance of Speckled Wood butterflies (Pararge aegeria) in different habitats (grassland and woodland). The experiments were carried out between 2008 and 2010 by the University of York, at sites in Yorkshire, Great Britain.","documentType":"GEMINI_DOCUMENT","familyName":["Pateman","Thomas","Hayward","Hill"],"fullName":["Pateman, R.","Pateman, R.M.","Thomas, C.D.","Hayward, S.A.L.","Hill, J.K."],"givenName":["Rachel","R.M.","C.D.","S.A.L.","J.K."],"identifier":"ecb17680-da2e-49ae-b250-2d04a6a08d2a","incomingCitationCount":0,"keyword":["Pararge aegeria"],"keywordsOther":["Pararge aegeria"],"licence":"Open government licence","lineage":"The data were collected during an experiment carried out by the University of York, at sites in Yorkshire, Great Britain. For full details, refer to the online supporting information. ","locations":["POLYGON((-1.45 53.55, -1.45 54.21, 0.55 54.21, 0.55 53.55, -1.45 53.55))"],"metadataDate":"2026-05-11T18:22:26.000Z","orcid":["https://orcid.org/0000-0002-2260-170X"],"organisation":["Stockholm Environment Institute, University of York","University of York","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-08-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1439997768416","CEH:EIDC::1439997768416","https://catalogue.ceh.ac.uk/id/ecb17680-da2e-49ae-b250-2d04a6a08d2a","10.5285/ecb17680-da2e-49ae-b250-2d04a6a08d2a","doi:10.5285/ecb17680-da2e-49ae-b250-2d04a6a08d2a"],"resourceType":"Dataset","rightsHolder":["University of York"],"ror":["https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"The datasets were collected during experiments undertaken to examine survival rates and larval performance of Speckled Wood butterflies (Pararge aegeria) in different habitats (grassland and woodland). The experiments were carried out between 2008 and 2010 by the University...","state":"published","title":"Survival and performance of Speckled Wood butterflies in relation to microclimate","version":1.0,"view":["public","clamw"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/documents"}