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Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from five to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade.\n\nCollated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. 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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((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:43:20.000Z","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","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","Natural Environment Research Council","Joint Nature Conservation Committee"],"publicationDate":"2022-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6177caa4-e68e-433c-8135-029ddfd3ba72","10.5285/6177caa4-e68e-433c-8135-029ddfd3ba72","doi:10.5285/6177caa4-e68e-433c-8135-029ddfd3ba72"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed,…","state":"published","supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 2021 to 2021","title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2021","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh","Universidad Politécnica de Madrid","Bangor University","University of Montana","Lancaster University"],"authorFamilyName":["Mason","Oakley","Street","Arróniz-Crespo","Jones","DeLuca","Ostle"],"authorFullName":["Mason, K.E.","Oakley, S.","Street, L.E.","Arróniz-Crespo, M.","Jones, D.L.","DeLuca, T.H.","Ostle, N.J."],"authorGivenName":["K.E.","S.","L.E.","M.","D.L.","T.H.","N.J."],"authorOrcid":["0000-0003-3426-3178","0000-0002-5757-7420","0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/03n6nwv02","https://ror.org/006jb1a24","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus, carbon and nitrogen, plant species cover, air temperature, soil temperature, soil moisture and surface leaf moisture. Greenhouse gas measurements were taken in the field. Soil cores were collected, then processed and analysed in the laboratory. Plant species cover was by visual estimate and final plant biomass was collected, dried, and weighed.  Weather stations were used to collect temperature and moisture data.\n\nData were collected from six Swedish boreal forest sites forming a chronosequence ranging in age from approximately 45 to 365 years since last wildfire. This part of the project used soil and plant property data, climatic data, and age since wildfire to investigate controls on forest floor greenhouse gas fluxes. The project ran from 2012 to 2015.","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Oakley","Street","Arróniz-Crespo","Jones","DeLuca","Ostle"],"fullName":["Mason, K.E.","Oakley, S.","Street, L.E.","Arróniz-Crespo, M.","Jones, D.L.","DeLuca, T.H.","Ostle, N.J.","Mason, K."],"givenName":["K.E.","S.","L.E.","M.","D.L.","T.H.","N.J.","Kelly"],"identifier":"f08a5de5-55d4-44de-90e1-94bb4f814054","incomingCitationCount":0,"keyword":["Sweden","Soil","boreal forest","wild fires"],"keywordsOther":["boreal forest","wild fires"],"keywordsPlace":["Sweden"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Field data was collected in June and September 2012, June 2013, and July 2014.  Greenhouse gas fluxes were measured using infrared gas analysers (PP Systems EGM4) for CO2 and manual samples from static chambers for CH4 and N2O, which were analysed on a gas chromatogram (PerkinElmer Autosystem XL).  Data were quality controlled by plotting all data points and removing any points showing signs of the system not being settled or properly sealed.  Calibration standards were used for both systems.  At the time of sampling, measures of air temperature and photosynthetically active radiation were taken using a temperature probe (TinyTag) and PAR Quantum Sensor (Skye Instruments), respectively.\n\nSoil cores were collected either along a transect or from within the gas collars.  Cores were PVC pipes of 5 cm diameter and 10 cm length.  Manual processing (including oven-drying of samples) gave values for soil horizon depths, bulk density, and loss on ignition.  pH was determined by mixing 10 g fresh soil in 25 mL deionized water and measuring using a pH probe (Hanna Instruments).  Total phosphorous was obtained using a digestion method with analysis on a SEAL AutoAnalyser3 (Seal Analytical).  Total C:N was obtained by analysing samples on a Truspec C:N analyser (LECO Corp.).  Instruments were run with calibrated standards.\n\nEstimates of cover by individual plant species were made visually and photos were used for quality control.  Plant material was collected from within the gas collars, dried at 60ºC, and weighed for total biomass.\n\nAir temperature, soil temperature at 1 cm and 5 cm depth, soil moisture, and surface leaf moisture were measured using weather stations (Decagon Devices).  Data was plotted to quality control for errors caused by dead batteries, snow cover, etc.","locations":["POLYGON((17.505 65.416, 17.505 66.108, 19.67 66.108, 19.67 65.416, 17.505 65.416))"],"metadataDate":"2026-09-15T08:42:18.000Z","orcid":["0000-0003-3426-3178","0000-0002-5757-7420","0000-0003-3263-3702"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","Universidad Politécnica de Madrid","Bangor University","University of Montana","Lancaster University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f08a5de5-55d4-44de-90e1-94bb4f814054","10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054","doi:10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/03n6nwv02","https://ror.org/006jb1a24","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus,…","state":"published","temporalExtentText":"Data collected from 2012 to 2014","title":"Boreal forest floor greenhouse gas emissions across a wildfire-disturbed chronosequence","topic":["0/Soil/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Keith","Thomas","Henrys","Emmett"],"authorFullName":["Keith, A.M.","Thomas, A.R.C.","Henrys, P.A.","Emmett, B.A."],"authorGivenName":["A.M.","A.R.C.","P.A.","B.A."],"authorOrcid":["0000-0001-9619-1320","0000-0002-4929-7285","0000-0003-4758-1482","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset presents modelled estimates of soil invertebrate density (individuals m-2) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil invertebrate density data from 2007 and including climate, habitat, soil and spatial predictors. The model is based on soil invertebrate density data from 830 locations across Great Britain and is representative of 0-8 cm soil depth. Soil invertebrates were extracted from cores using a dry Tullgren extraction method and enumerated by microscope. 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":"GEMINI_DOCUMENT","familyName":["Keith","Thomas","Henrys","Emmett"],"fullName":["Keith, A.M.","Thomas, A.R.C.","Henrys, P.A.","Emmett, B.A.","Keith, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","A.R.C.","P.A.","B.A.","Aidan"],"grant":["NE/R016429/1"],"identifier":"93207428-aace-4bb5-9073-2eb44ad632d1","incomingCitationCount":0,"keyword":["UK-SCAPE","Soil","Broad Habitat","Biology","Climate","Countryside Survey","Microarthropods","Parent Material Model","invertebrate"],"keywordsOther":["Broad Habitat","Biology","Climate","Countryside Survey","Microarthropods","Parent Material Model","invertebrate"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"The data used to model soil invertebrate density 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: \n\nhttp://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":"2026-07-25T10:16:29.000Z","orcid":["0000-0001-9619-1320","0000-0002-4929-7285","0000-0003-4758-1482","0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/93207428-aace-4bb5-9073-2eb44ad632d1","10.5285/93207428-aace-4bb5-9073-2eb44ad632d1","doi:10.5285/93207428-aace-4bb5-9073-2eb44ad632d1"],"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 invertebrate density (individuals m-2) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil invertebrate density data from 2007 and including climate, habitat,…","state":"published","temporalExtentText":"Data collected from 2007 to 2007","title":"Topsoil invertebrate density estimates from the Countryside Survey of Great Britain, 2007 using a generalized additive model","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology"],"authorFamilyName":["Brown","Bunce","Carey","Chandler","Crowe","Maskell","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Crowe, A.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["M.J.","R.G.H.","P.D.","K.","A.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0002-5651-2828","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 2007. The data are national estimates generated by analysing the sample data from 591 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 categories, 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":["Brown","Bunce","Carey","Chandler","Crowe","Maskell","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Crowe, A.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["M.J.","R.G.H.","P.D.","K.","A.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"e687330b-a0f7-45a1-b58c-398e67da3028","incomingCitationCount":1,"keyword":["Great Britain","England","Scotland","Wales","Environmental survey","hedges","fences","walls","tree lines","grass strips","banks"],"keywordsOther":["hedges","fences","walls","tree lines","grass strips","banks"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summer of 2007 by surveyors. Data were recorded from 591 1km squares sited across Britain, selected by random stratified sample. The 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":"2026-09-15T08:36:34.000Z","orcid":["0000-0002-5651-2828","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-09-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1406200249402","CEH:EIDC::1406200249402","https://catalogue.ceh.ac.uk/id/e687330b-a0f7-45a1-b58c-398e67da3028","10.5285/e687330b-a0f7-45a1-b58c-398e67da3028","doi:10.5285/e687330b-a0f7-45a1-b58c-398e67da3028"],"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 2007. The data are national estimates generated by analysing the sample data from 591 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling…","state":"published","supplementalName":["Countryside Survey website"],"temporalExtentText":"Data collected from 2007 to 2007","title":"Countryside Survey 2007 estimates of linear feature lengths in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Mackay","Clarke","Feuchtmayr","Rhodes","Maberly"],"authorFullName":["Mackay, E.B.","Clarke, M.","Feuchtmayr, H.","Rhodes, G.","Maberly, S."],"authorGivenName":["E.B.","M.","H.","G.","S."],"authorOrcid":["0000-0001-5697-7062","0000-0002-2028-4843","0000-0003-0488-3843","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains spectrophotometrically measured chlorophyll absorbance data from lake and river samples incubated with different nitrogen, phosphorus, silica or combined nutrients, as bioassays, either ex situ for phytoplankton or in situ for periphyton. These data were collected from sites in the English Lake District, Norfolk Broads and Greater Glasgow area in 2017 and 2018 as part of the NERC funded Freshwater Highlight Topic 'Hydroscape'.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/N00597X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Mackay","Clarke","Feuchtmayr","Rhodes","Maberly"],"fullName":["Mackay, E.B.","Clarke, M.","Feuchtmayr, H.","Rhodes, G.","Maberly, S."],"funder":["Natural Environment Research Council"],"givenName":["E.B.","M.","H.","G.","S."],"grant":["NE/N006453/1"],"identifier":"2ea22f99-242c-4524-a5dc-3067a5f97a72","incomingCitationCount":0,"keyword":["Bassenthwaite Lake","Derwent water","Rydal Water","Grasmere","Esthwaite water","Easedale Tarn","Codale Tarn","Bishop Loch","Castle Semple Loch","Woodend Loch","Strathclyde Loch","Loch Libo","Decoy Broad","Malthouse Broad","Ranworth Broad","Wroxham Broad","bioassay","phytoplankton","periphyton","river","lake","chlorophyll"],"keywordsOther":["bioassay","phytoplankton","periphyton","river","lake","chlorophyll"],"keywordsPlace":["Bassenthwaite Lake","Derwent water","Rydal Water","Grasmere","Esthwaite water","Easedale Tarn","Codale Tarn","Bishop Loch","Castle Semple Loch","Woodend Loch","Strathclyde Loch","Loch Libo","Decoy Broad","Malthouse Broad","Ranworth Broad","Wroxham Broad"],"licence":"Open government licence","lineage":"Surface dip water samples were collected at the deepest point, lake edge, or ~1 m from the river bank. Periphyton sample filters were obtained from nutrient diffusing periphytometers that were deployed in the streams for two weeks. After two weeks these filters were retrieved and frozen at -20°C on return from the field. \n\nPhytoplankton bioassays were initially filtered through a 100 µm mesh, 3x35 ml of filtered water treatments were spiked with the different nutrient additions. Tubes were then incubated for 14 days at 20°C. Following the incubation period, the contents of the tubes were resuspended and filtered onto Whatman GF/C filters and frozen at -20°C.\n\nFilters in all cases were defrosted and extracted in 7.36 ml hot methanol, with absorbance readings obtained from a Hitachi U2800 UV/Visible spectrophotometer using a 5cm cuvette.\n\nData were entered into a spreadsheet and manually checked for transcription errors. Data from all experiments were collated into a single file for data archiving purposes.\n\n","locations":["POLYGON((-7.427 49.864, -7.427 58.882, 1.768 58.882, 1.768 49.864, -7.427 49.864))"],"metadataDate":"2026-09-15T08:42:57.000Z","orcid":["0000-0001-5697-7062","0000-0002-2028-4843","0000-0003-0488-3843","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ea22f99-242c-4524-a5dc-3067a5f97a72","10.5285/2ea22f99-242c-4524-a5dc-3067a5f97a72","doi:10.5285/2ea22f99-242c-4524-a5dc-3067a5f97a72"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains spectrophotometrically measured chlorophyll absorbance data from lake and river samples incubated with different nitrogen, phosphorus, silica or combined nutrients, as bioassays, either ex situ for phytoplankton or in situ for periphyton. These…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Chlorophyll absorbance data from lake and river samples incubated with different nutrient combinations in the English Lake District, Norfolk Broads and Greater Glasgow, 2017-2018","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Sheffield","Embrapa - Instrumentation","Federal University of ABC"],"authorFamilyName":["Stowell","Torre-Neto","Kamienski"],"authorFullName":["Stowell, P.","Torre-Neto, A.","Kamienski, C."],"authorGivenName":["P.","A.","C."],"authorOrcid":["0000-0002-6930-0509","0000-0001-6475-1469","0000-0002-3087-9234"],"authorRor":["https://ror.org/05krs5044","https://ror.org/0482b5b22","https://ror.org/028kg9j04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily soil moisture estimates using prototype cosmic ray neutron sensors. The sensors were deployed in a centre-pivot irrigation site in the state of Bahia, Brazil, and measurements were taken hourly between June and December, 2023. \n\nThe dataset includes daily averages of volumetric water containment, which have been corrected for environmental effects.\n\n This dataset was created to study the potential for using distributed cosmic ray sensors to support data driven irrigation optimisation and is supported by NERC (NE/W004364/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Stowell","Torre-Neto","Kamienski"],"fullName":["Stowell, P.","Torre-Neto, A.","Kamienski, C."],"funder":["Natural Environment Research Council","FAPESP"],"givenName":["P.","A.","C."],"grant":["NE/W004364/1"],"identifier":"a2c87e47-6f85-4bee-9a54-ecb1bb5b3573","incomingCitationCount":0,"keyword":["Agriculture","cosmic-ray sensor","soil moisture","time series","hydrology","centre pivot irrigation"],"keywordsOther":["cosmic-ray sensor","soil moisture","time series","hydrology","centre pivot irrigation"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Soil moisture data collected on a prototype FiWare sensing platform. Corrections for background cosmic ray variations, air humidity and temperature were applied using weather station data from a co-deployed environmental monitoring station before being averaged over each day.","locations":["POLYGON((-45.602 -12.247, -45.602 -12.193, -45.397 -12.193, -45.397 -12.247, -45.602 -12.247))"],"metadataDate":"2026-07-25T13:17:13.000Z","orcid":["0000-0002-6930-0509","0000-0001-6475-1469","0000-0002-3087-9234"],"organisation":["University of Sheffield","Embrapa - Instrumentation","Federal University of ABC","NERC EDS Environmental Information Data Centre","Durham University"],"publicationDate":"2025-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a2c87e47-6f85-4bee-9a54-ecb1bb5b3573","10.5285/a2c87e47-6f85-4bee-9a54-ecb1bb5b3573","doi:10.5285/a2c87e47-6f85-4bee-9a54-ecb1bb5b3573"],"resourceType":"Dataset","rightsHolder":["Durham University"],"ror":["https://ror.org/05krs5044","https://ror.org/0482b5b22","https://ror.org/028kg9j04","https://ror.org/04xw4m193","https://ror.org/01v29qb04"],"shortenedDescription":"This dataset contains daily soil moisture estimates using prototype cosmic ray neutron sensors. The sensors were deployed in a centre-pivot irrigation site in the state of Bahia, Brazil, and measurements were taken hourly between June and December, 2023. \n\nThe dataset…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Soil moisture data obtained from prototype neutron probes at a centre-pivot irrigation site, Bahia state, Brazil, 2023","topic":["0/Agriculture/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Lebron","Seaton","Barrett","Alison","Burden","Emmett","Garbutt","Robinson","Williams","Wood"],"authorFullName":["Lebron, I.","Seaton, F.","Barrett, G.","Alison, J.","Burden, A.","Emmett, B.A.","Garbutt, A.","Robinson, D.A.","Williams, B.","Wood, C.M."],"authorGivenName":["I.","F.","G.","J. ","A.","B.A.","David A.","B.","C.M."],"authorOrcid":["0000-0001-8610-9717","0000-0002-2022-7451","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-7290-4867","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of Particle Size Distribution (PSD) measurements, analysed in a sub set of soil samples with a loss on ignition lower than 50%, taken from within a range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  Laser granulometry was used to measure the PSD.  The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.  The field survey element was based on a stratified random sampling design of 300, 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Lebron","Seaton","Barrett","Alison","Burden","Emmett","Garbutt","Robinson","Williams","Wood"],"fullName":["Lebron, I.","Seaton, F.","Barrett, G.","Alison, J.","Burden, A.","Emmett, B.A.","Garbutt, A.","Robinson, D.A.","Williams, B.","Wood, C.M."],"funder":["Natural Environment Research Council"],"givenName":["I.","F.","G.","J. ","A.","B.A.","David A.","B.","C.M."],"identifier":"d6c3cc3c-a7b7-48b2-9e61-d07454639656","incomingCitationCount":3,"keyword":["Wales","Glastir Monitoring and Evaluation Programme (GMEP)","Soil"],"keywordsPlace":["Wales"],"keywordsProject":["Glastir Monitoring and Evaluation Programme (GMEP)"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Within each of 300 x 1km sample squares, a set of soil samples were taken from five pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15cm long, from a location co-incident with vegetation surveys.\n\nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor. Analysed data were transferred to secure databases at UKCEH following sample analysis.\n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0001-8610-9717","0000-0002-2022-7451","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-7290-4867","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d6c3cc3c-a7b7-48b2-9e61-d07454639656","10.5285/d6c3cc3c-a7b7-48b2-9e61-d07454639656","doi:10.5285/d6c3cc3c-a7b7-48b2-9e61-d07454639656"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set consists of Particle Size Distribution (PSD) measurements, analysed in a sub set of soil samples with a loss on ignition lower than 50%, taken from within a range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation…","state":"published","supplementalDescription":["Website for the Glastir Monitoring and Evaluation Project (GMEP)\n","Website for the Environment & Rural Affairs Monitoring and Modelling Programme (ERAMMP). Follow-up project to GMEP","Website for closely related project"],"supplementalName":["GMEP website","ERAMMP website","Countryside Survey website"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Topsoil particle size distribution from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg"],"authorFamilyName":["Tanguy","Bachmair","Stahl","Hannaford"],"authorFullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"authorGivenName":["M.","S.","K.","J."],"authorOrcid":["0000-0002-1516-6834","0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0245cg223"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset comprises three gridded drought indicators based on remote sensing data for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are: \n the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index);\n  - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature)\n  - the Vegetation Health Index (VHI) which is a combination of VCI and TCI, calculated using MODIS products","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Bachmair","Stahl","Hannaford"],"fullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"givenName":["M.","S.","K.","J."],"identifier":"4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b","incomingCitationCount":1,"keyword":["Environmental risk","Vegetation Condition Index","VCI","NDVI","Normalised Difference Vegetation Index","Temperature Condition Index","TCI","LST","Land Surface Temperature","VHI","Vegetation Health Index","MODIS","moderate-resolution imaging spectroradiometer","DrIVER","monitoring and early warning system","drought"],"keywordsOther":["Vegetation Condition Index","VCI","NDVI","Normalised Difference Vegetation Index","Temperature Condition Index","TCI","LST","Land Surface Temperature","VHI","Vegetation Health Index","MODIS","moderate-resolution imaging spectroradiometer","DrIVER","monitoring and early warning system","drought"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Three gridded drought indicators based on remote sensing were calculated for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are (i) the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index) (ii) the Temperature Condition Index based on remotely sensed LST (Land Surface Temperature) and (iii) the Vegetation Health Index (VHI) which is a combination of VCI and TCI. For NDVI, MODIS product MOD13C2 was used, and for LST, MODIS product MOD11C3 was used. VCI, TCI and VHI were derived using methodology described by Kogan (Kogan, F.N., 1995; https://doi.org/10.1016/0273-1177(95)00079-T)","locations":["POLYGON((-15 30, -15 75, 45 75, 45 30, -15 30))"],"metadataDate":"2026-07-24T21:21:43.000Z","orcid":["0000-0002-1516-6834","0000-0002-5256-3310"],"organisation":["Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b","10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b","doi:10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0245cg223","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises three gridded drought indicators based on remote sensing data for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are: \n the Vegetation…","state":"published","supplementalDescription":["Kogan, F. N. (1995). Application of vegetation index and brightness temperature for drought detection. In Advances in Space Research (Vol. 15, Issue 11, pp. 91–100). Elsevier BV."],"temporalExtentText":"Data collected from 2000 to 2015","title":"Gridded drought indices based on remote sensing data for Europe (2000-2015)","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Adamson","Benefield","Elfyn Hughes","Wood"],"authorFullName":["Adamson, J.K.","Benefield, C.B.","Elfyn Hughes, W.","Wood, C.M."],"authorGivenName":["J.K.","C.B.","W.","C.M."],"authorOrcid":["0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set comprises plant species, habitat and land cover types, and major biota present, collected during an ecological survey of marginal uplands in the English county of Cumbria, using standardised survey methods. The survey was undertaken by the Institute of Terrestrial Ecology (a forerunner of the Centre for Ecology & Hydrology) in 1978 within a stratified random set of sites. In total, up to 262 plots were surveyed from within 52 x 1km squares.","documentType":"GEMINI_DOCUMENT","familyName":["Adamson","Benefield","Elfyn Hughes","Wood"],"fullName":["Adamson, J.K.","Benefield, C.B.","Elfyn Hughes, W.","Wood, C.M.","Wood, C."],"givenName":["J.K.","C.B.","W.","C.M.","Claire"],"identifier":"a4f2d52b-1515-434e-bfc3-83b3a53be1c5","incomingCitationCount":0,"keyword":["Cumbria","Environmental survey","Biodiversity","Land use","plants","survey","marginal land"],"keywordsOther":["plants","survey","marginal land"],"keywordsPlace":["Cumbria"],"keywordsTheme":["Environmental survey","Biodiversity","Land use"],"licence":"Open government licence","lineage":"Data were collected on paper by trained field surveyors employed by the Institute of Terrestrial Ecology  in 1977 and 1978 using documented standardised methods, and were later digitised by the Centre for Ecology & Hydrology, Lancaster. ","locations":["POLYGON((-3.597 54.024, -3.597 54.978, -2.443 54.978, -2.443 54.024, -3.597 54.024))"],"metadataDate":"2026-09-15T08:40:49.000Z","orcid":["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":"2017-09-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a4f2d52b-1515-434e-bfc3-83b3a53be1c5","10.5285/a4f2d52b-1515-434e-bfc3-83b3a53be1c5","doi:10.5285/a4f2d52b-1515-434e-bfc3-83b3a53be1c5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set comprises plant species, habitat and land cover types, and major biota present, collected during an ecological survey of marginal uplands in the English county of Cumbria, using standardised survey methods. The survey was undertaken by the Institute of…","state":"published","temporalExtentText":"Data collected from 1977 to 1978","title":"Terrestrial habitat and vegetation data from the marginal uplands of Cumbria, 1978","topic":["0/Environmental survey/","0/Biodiversity/","0/Land use/"],"version":1.0,"view":["public","phtr","clamw"]},{"authorAffiliation":["University of Reading","UK Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Ryalls","Bromfield","Langford","Mullinger","Nemitz","Pfrang","Girling"],"authorFullName":["Ryalls, J.M.W.","Bromfield, L.M.","Langford, B.","Mullinger, N.","Nemitz, E.","Pfrang, C.","Girling, R.D."],"authorGivenName":["James M. W.","L.M.","B.","N.","E.","C.","R.D."],"authorOrcid":["0000-0003-2015-3605","0000-0002-1765-6298","0000-0001-8816-8075"],"authorRor":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains concentrations of nitrogen oxides (NO and NO2, collectively NOx) and ozone (O3), frequencies of insect pollinators and flower visits and yield metrics of Brassica nigra plants collected from within eight field-based fumigation rings located at the University of Reading's Sonning Farm, UK.","documentType":"GEMINI_DOCUMENT","familyName":["Ryalls","Bromfield","Langford","Mullinger","Nemitz","Pfrang","Girling"],"fullName":["Ryalls, J.M.W.","Bromfield, L.M.","Langford, B.","Mullinger, N.","Nemitz, E.","Pfrang, C.","Girling, R.D."],"funder":["Natural Environment Research Council"],"givenName":["James M. W.","L.M.","B.","N.","E.","C.","R.D."],"grant":["NE/P002404/1"],"identifier":"d2e0cf65-010c-4206-8302-195449d0acba","incomingCitationCount":1,"keyword":["Pollution","Free-Air Diesel","Ozone Enrichment","FADOE","insect pollinator","odour cues","pollination","United Kingdom","atmospheric chemistry","volatile organic compound","troposphere","nitrogen oxides","insect","air pollution","Brassica nigra","black mustard"],"keywordsOther":["Free-Air Diesel","Ozone Enrichment","FADOE","insect pollinator","odour cues","pollination","United Kingdom","atmospheric chemistry","volatile organic compound","troposphere","nitrogen oxides","insect","air pollution","Brassica nigra","black mustard"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Data were obtained over two summer seasons (2018 and 2019). Analysers located in a field control unit were used to collect real-time NOx and O3 concentrations using an automated switching system. Field-based insect pollinator and flower visitation frequencies were observational. Brassica nigra plants were cut to ground level and measured in the lab to obtain yield and pollination metrics.","locations":["POLYGON((-0.906 51.472, -0.906 51.474, -0.903 51.474, -0.903 51.472, -0.906 51.472))"],"metadataDate":"2026-07-25T14:18:11.000Z","orcid":["0000-0003-2015-3605","0000-0002-1765-6298","0000-0001-8816-8075"],"organisation":["University of Reading","UK Centre for Ecology & Hydrology","University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d2e0cf65-010c-4206-8302-195449d0acba","10.5285/d2e0cf65-010c-4206-8302-195449d0acba","doi:10.5285/d2e0cf65-010c-4206-8302-195449d0acba"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains concentrations of nitrogen oxides (NO and NO2, collectively NOx) and ozone (O3), frequencies of insect pollinators and flower visits and yield metrics of Brassica nigra plants collected from within eight field-based fumigation rings located at the…","state":"published","temporalExtentText":"Data collected from 2018 to 2019","title":"Nitrogen oxide and ozone concentrations, pollinator visitation frequencies and yield metrics of Brassica nigra in fumigation rings, Sonning, UK, 2018-2019","topic":["0/Pollution/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorOrcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 25m 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 three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"c9449bf5-b8f6-4a1c-b3eb-0d70575cba39","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","Biodiversity Action Plan","mapping","land cover"],"keywordsOther":["Biodiversity Action Plan","mapping","land cover"],"keywordsPlace":["Great Britain"],"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. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. 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 LCM2022 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 pixelating 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":"2026-07-25T14:03:43.000Z","orcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c9449bf5-b8f6-4a1c-b3eb-0d70575cba39","10.5285/c9449bf5-b8f6-4a1c-b3eb-0d70575cba39","doi:10.5285/c9449bf5-b8f6-4a1c-b3eb-0d70575cba39"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m 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 three-band raster in GeoTiff format, produced by rasterising three properties of the…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Land Cover Map 2022 (25m rasterised land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey"],"authorFamilyName":["Neal","Shand"],"authorFullName":["Neal, C.","Shand, P."],"authorGivenName":["C.","P."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the results of a water quality survey undertaken in mid-May 1985 of streams, springs and boreholes associated with the ophiolite rocks of the Troodos Massif in Cyprus.   Determinands measured include: Na, K, Ca, Mg, Cl, SO4, Sulphide, Si, Alk, pH, Al, Ba, B, Br, Cr, I, Li, Sr, Fe","documentType":"GEMINI_DOCUMENT","familyName":["Neal","Shand"],"fullName":["Neal, C.","Shand, P."],"givenName":["C.","P.","Colin"],"identifier":"e0588fab-be15-4948-a946-75ad469d7a63","incomingCitationCount":1,"keyword":["Cyprus","Mediterranean","Troodos","Water quality","borehole","waters","Analytical chemistry","Hydrochemistry","ophiolite","serpentinisation","spring","stream","bromide","trace elements","hyperalkaline","boron","iodine","water quality"],"keywordsOther":["borehole","waters","Analytical chemistry","Hydrochemistry","ophiolite","serpentinisation","spring","stream","bromide","trace elements","hyperalkaline","boron","iodine","water quality"],"keywordsPlace":["Cyprus","Mediterranean","Troodos"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Streams, springs and borehole waters were sampled from 21 sites within the Troodos ophiolite area  in mid-May 1985. These sites represent the major waters of the area as assessed previously by the Geological Survey of Cyprus (Pantazis, 1978). The sites were chosen and samplings undertaken with the help of Evangelos Makredes of the Geological Survey of Cyprus and advice from some of his   colleagues. In the field, samples were filtered through 0.45 μM membrane filters and then stored for chemical analysis in glass and polypropylene bottles depending upon the type of analysis. pH was determined electrochemically in the field, using a combination electrode, at the time of sample  collection, with minimum contact of the water sample with the atmosphere (to avoid equilibration with atmospheric carbon dioxide). On immediate return from the field, alkalinity was determined by acidimetric titration to a pH of about 4.0 and was calculated using the method of Neal (1988); reduced sulphur was also determined using an ion selective electrode. In the case of alkalinity and reduced sulphur, the samples collected were stored in filled bottles and the analyses were undertaken rapidly: in the former case, this ensured minimal equilibration with atmospheric carbon dioxide; in the latter case, it minimised both hydrogen sulphide degassing and atmospheric oxygen contamination.\n\nSamples were returned to the UK for further chemical analysis (Neal et al., 1992 for information on analytical methodologies). This analysis comprised colorimetric methods for the major anions, bromide and total iodine (mainly iodide plus iodate). Analysis of the major cations, the trace metals and boron was undertaken by inductively coupled plasma optical emission spectroscopy. In the case of the metals, samples were stored in polypropylene bottles cleaned by pre-washing in 5% v/v analar grade hydrochloric acid followed by high purity water and the samples were preserved in 1% v/v high purity, aristar grade, nitric acid. For the anion determinations, samples were stored in high purity water-cleaned glass bottles prior to analysis.","locations":["POLYGON((32.273 34.563, 32.273 35.701, 34.597 35.701, 34.597 34.563, 32.273 34.563))"],"metadataDate":"2026-09-15T09:55:19.000Z","organisation":["Centre for Ecology & Hydrology","British Geological Survey","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1368104040241","CEH:EIDC::1368104040241","https://catalogue.ceh.ac.uk/id/e0588fab-be15-4948-a946-75ad469d7a63"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the results of a water quality survey undertaken in mid-May 1985 of streams, springs and boreholes associated with the ophiolite rocks of the Troodos Massif in Cyprus.   Determinands measured include: Na, K, Ca, Mg, Cl, SO4, Sulphide, Si, Alk,…","state":"published","temporalExtentText":"Data collected from 1985 to 1985","title":"Spring and surface water quality of Cyprus ophiolites","topic":["0/Water quality/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Hood","Nemitz","Vieno","Liska","Scheffler","Beck","Carnell","Tomlinson","Pearson"],"authorFullName":["Hood, C.","Nemitz, E.","Vieno, M.","Liska, T.","Scheffler, J.","Beck, R.","Carnell, E.","Tomlinson, S.","Pearson, C."],"authorGivenName":["Christina","Eiko","Massimo","Tomas","Janice","Rachel","Edward","Samuel","Clare"],"authorOrcid":["0000-0001-9244-5696","0000-0002-1765-6298","0000-0001-7741-9377","0000-0001-9500-0633","0000-0002-7398-4237","0009-0005-9645-8001","0000-0003-0870-1955","0000-0002-3237-7596","0000-0003-3274-1586"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset includes daily averaged atmospheric composition for the UK for key air pollutants nitrogen, sulphur, particulates and ozone for the years 2022 - 2024. The dataset was generated with the European Monitoring and Evaluation Programme for the UK (EMEP4UK) model version 5.0, modified to improve wet deposition rates. The underlying meteorology was generated using the Weather Research and Forecasting (WRF) model version 4.4.2. The UK emissions were taken from the 2025 release of the National Atmospheric Emissions Inventory (NAEI), with base year 2023.","documentType":"GEMINI_DOCUMENT","familyName":["Hood","Nemitz","Vieno","Liska","Scheffler","Beck","Carnell","Tomlinson","Pearson"],"fullName":["Hood, C.","Nemitz, E.","Vieno, M.","Liska, T.","Scheffler, J.","Beck, R.","Carnell, E.","Tomlinson, S.","Pearson, C."],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs"],"givenName":["Christina","Eiko","Massimo","Tomas","Janice","Rachel","Edward","Samuel","Clare","Christina "],"grant":["NE/Y006208/1"],"identifier":"ed9b9379-49b5-41b3-86d9-b88fb3e9f58d","incomingCitationCount":0,"keyword":["United Kingdom","Modelling","Pollution","modelling","outdoor air pollution"],"keywordsOther":["modelling","outdoor air pollution"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Modelling","Pollution"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK, with a grid resolution of about 3 km x 3 km, were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nKey input data to the EMEP4UK model (version 5.0 with slightly modified wet deposition) include:\n- anthropogenic emissions for the UK from the National Atmospheric Emissions Inventory (released 2025, base year 2023);\n- anthropogenic emissions for the Republic of Ireland from MapEire;\n- anthropogenic emissions for Europe from the Centre for Emissions Inventories and Projections;\n- UK land surface data from the Land Cover Map 2015; and\n- European land cover data and other default EMEP model inputs from the EMEP repository.\n\nThe deposited data were processed from the full EMEP4UK model output to a subset containing essential variables only. The netCDF Operators tools, version 5.3.3, were used to subset the model output.","locations":["POLYGON((-11 49.5, -11 61.2, 2.9 61.2, 2.9 49.5, -11 49.5))"],"metadataDate":"2026-07-25T14:53:25.000Z","orcid":["0000-0001-9244-5696","0000-0002-1765-6298","0000-0001-7741-9377","0000-0001-9500-0633","0000-0002-7398-4237","0009-0005-9645-8001","0000-0003-0870-1955","0000-0002-3237-7596","0000-0003-3274-1586"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ed9b9379-49b5-41b3-86d9-b88fb3e9f58d","10.5285/ed9b9379-49b5-41b3-86d9-b88fb3e9f58d","doi:10.5285/ed9b9379-49b5-41b3-86d9-b88fb3e9f58d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes daily averaged atmospheric composition for the UK for key air pollutants nitrogen, sulphur, particulates and ozone for the years 2022 - 2024. The dataset was generated with the European Monitoring and Evaluation Programme for the UK (EMEP4UK) model…","state":"published","temporalExtentText":"Data collected from 2022 to 2024","title":"European Monitoring and Evaluation Programme Model for the UK (EMEP4UK) daily atmospheric composition and fluxes for 2022-2024","topic":["0/Modelling/","0/Pollution/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Aberdeen"],"authorFamilyName":["Oliver"],"authorFullName":["Oliver, V."],"authorGivenName":["V."],"authorOrcid":["0000-0002-1349-9037"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains concentrations of total soil organic carbon, soil carbon fractions, soil CO2 fluxes, soil temperature and moisture in the Peruvian Andes. Measurements and sampling took place between 2010 and 2013. Data were generated as part of a larger NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide'","documentType":"GEMINI_DOCUMENT","familyName":["Oliver"],"fullName":["Oliver, V."],"funder":["Natural Environment Research Council"],"givenName":["V.","Viktoria"],"grant":["NE/H006583/1","NE/H007849/1","NE/H006753/1"],"identifier":"3813aef3-71cc-49e6-ba21-495a43363001","incomingCitationCount":1,"keyword":["Peruvian Andes","Land use","soil respiration","puna","soil carbon","soil density fractionation","Andean montane grasslands","fire","grazing"],"keywordsOther":["soil respiration","puna","soil carbon","soil density fractionation","Andean montane grasslands","fire","grazing"],"keywordsPlace":["Peruvian Andes"],"keywordsTheme":["Land use"],"licence":"Open government licence","lineage":"Soil CO2 gas measurements were collected bi-weekly for one year, using a CO2 analyser, by Dr Viktoria Oliver and Jose Kala, with the aim of investigating the impacts of grazing and fire history on soil C dynamics in the Peruvian montane grasslands. Soil samples were collected from each site and a soil density fraction method was used to determine soil C fractions at the University of St Andrews, Scotland, by Dr Viktoria Oliver. Additional context of the datesets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Oliver, V., Oliveras, I., Kala, J., Lever, R. & Teh, YA, 2017. The effects of burning and grazing on soil carbon dynamics in managed Peruvian tropical montane grasslands. Biogeosciences. Accepted Sept 2017.","locations":["POLYGON((-81.606 -19.643, -81.606 0.703, -68.379 0.703, -68.379 -19.643, -81.606 -19.643))"],"metadataDate":"2026-07-24T20:38:12.000Z","orcid":["0000-0002-1349-9037"],"organisation":["University of Aberdeen","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-12-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3813aef3-71cc-49e6-ba21-495a43363001","10.5285/3813aef3-71cc-49e6-ba21-495a43363001","doi:10.5285/3813aef3-71cc-49e6-ba21-495a43363001"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains concentrations of total soil organic carbon, soil carbon fractions, soil CO2 fluxes, soil temperature and moisture in the Peruvian Andes. Measurements and sampling took place between 2010 and 2013. Data were generated as part of a larger NERC project:…","state":"published","temporalExtentText":"Data collected from 2010 to 2013","title":"Soil and gas measurements from Puna grasslands under different land management over one year","topic":["0/Land use/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["National Oceanography Centre","University of Exeter","University of Brighton","University of Hull","University of Birmingham"],"authorFamilyName":["Unsworth","Nicholas","Ashworth","Parsons","Sambrook Smith"],"authorFullName":["Unsworth, C.","Nicholas, A.","Ashworth, P.","Parsons, D.","Sambrook Smith, G."],"authorGivenName":["C.","A.","P.","D.","G."],"authorOrcid":["0000-0002-3707-1182"],"authorRor":["https://ror.org/00874hx02","https://ror.org/03yghzc09","https://ror.org/04kp2b655","https://ror.org/04nkhwh30","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data were collected in 2015, 2016 and 2017 to provide information on the distribution of flow depth and depth-averaged flow velocity at cross-sections on the South Saskatchewan River, Canada. Data were obtained using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted onto either a small zodiac boat or a SonTek Hydroboard. Data for each cross-section is recorded in a single file. Individual points within each file represent single locations on the particular cross-section.\n\nData were collected as part of NERC project NE/L00738X/1. ","documentType":"GEMINI_DOCUMENT","familyName":["Unsworth","Nicholas","Ashworth","Parsons","Sambrook Smith"],"fullName":["Unsworth, C.","Nicholas, A.","Ashworth, P.","Parsons, D.","Sambrook Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["C.","A.","P.","D.","G.","Andrew"],"grant":["NE/L00738X/1"],"identifier":"e4fe2ebe-b207-47d5-8c77-9873afc63da9","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","flow","flowing water"],"keywordsOther":["flow","flowing water"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Data were collected in 2015, 2016 and 2017 to provide information on the distribution of flow depth and depth-averaged flow velocity at cross-sections on the South Saskatchewan River, Canada. Data were obtained using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted onto either a small zodiac boat or a SonTek Hydroboard. The position of the aDcp was recorded using a RTK dGPS system.  Velocities were calculated relative to the instrument head and were corrected using the dGPS calculated boat speed and heading. The aDcp data were collected in pulse coherent mode, averaging 7 pings per second, and were averaged to 1 Hz to improve the signal-to-noise ratio. The M9 uses 9 transducers at frequencies between 0.5 and 3.0 MHz. The accuracy of M9 velocity measurements is +/-1 cm/s. Data were collected along cross-sections of the river that extended between both banks and were aligned approximately perpendicular to the downstream flow direction. Velocities reported here are the two horizontal components of the depth-averaged velocity.\n\nFor details on files, see the supporting documentation.\n","locations":["POLYGON((-110 49, -110 53.2, -105 53.2, -105 49, -110 49))"],"metadataDate":"2026-07-25T14:49:24.000Z","orcid":["0000-0002-3707-1182"],"organisation":["National Oceanography Centre","University of Exeter","University of Brighton","University of Hull","University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e4fe2ebe-b207-47d5-8c77-9873afc63da9","10.5285/e4fe2ebe-b207-47d5-8c77-9873afc63da9","doi:10.5285/e4fe2ebe-b207-47d5-8c77-9873afc63da9"],"resourceType":"Dataset","ror":["https://ror.org/00874hx02","https://ror.org/03yghzc09","https://ror.org/04kp2b655","https://ror.org/04nkhwh30","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Data were collected in 2015, 2016 and 2017 to provide information on the distribution of flow depth and depth-averaged flow velocity at cross-sections on the South Saskatchewan River, Canada. Data were obtained using a Sontek M9 acoustic Doppler current profiler (aDcp)…","state":"published","temporalExtentText":"Data collected from 2015 to 2017","title":"Depth and velocity measurements in the South Saskatchewan River, Canada (2015-2017)","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Forestry England","NatureMetrics"],"authorFamilyName":["Stringer","Swan"],"authorFullName":["Stringer, A.","Swan, D."],"authorGivenName":["A.","D."],"authorOrcid":["0000-0002-6192-275X","0000-0001-8978-8129"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains percentages, counts and metrics of fungi, invertebrates, and soil invertebrates from 656 soil samples collected from 21 Forestry England and partner sites across England throughout 2023. The sites included an ancient woodland National Nature Reserve, sitka spruce monocultures, heather moorland and breck heath. Important sites for nature recovery were also sampled: New Forest, Forest of Dean, and Wild Ennerdale. \n\nThe soil samples were collected as part of the Forestry England 2023 eDNA Survey. The primary aim of the survey was to establish a baseline in order to detect future change alongside reference sites. \n","documentType":"GEMINI_DOCUMENT","familyName":["Stringer","Swan"],"fullName":["Stringer, A.","Swan, D."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["A.","D."],"identifier":"07c32201-c374-4432-a00b-832dedee571e","incomingCitationCount":0,"keyword":["England","Environmental survey","Soil","metabarcoding","Forestry England","environmental DNA (eDNA)","fungus","invertebrate"],"keywordsOther":["metabarcoding","Forestry England","environmental DNA (eDNA)","fungus","invertebrate"],"keywordsPlace":["England"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"The soil samples were collected by project officers, district ecologists, and contractors using standard soil sampling approaches and kits provided by NatureMetrics. Nine subsamples were mixed to create a sample. Five samples were taken within a 5ha plot. Between three and ten plots were used per site. Environmental DNA metabarcoding was completed on samples using three primers, ITS2, 18S, and COI by NatureMetrics. NatureMetrics analysed all samples, including their standard quality assurance procedure, and provided the data to Forestry England. Forestry England checked the data and prepared it (e.g., conversion to CSV) for EIDC submission. Please note that several GPS coordinates in the metadata are thought to be inaccurate and are highlighted as such.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T18:56:55.000Z","orcid":["0000-0002-6192-275X","0000-0001-8978-8129"],"organisation":["Forestry England","NatureMetrics","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07c32201-c374-4432-a00b-832dedee571e","10.5285/07c32201-c374-4432-a00b-832dedee571e","doi:10.5285/07c32201-c374-4432-a00b-832dedee571e"],"resourceType":"Dataset","rightsHolder":["Forestry England"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains percentages, counts and metrics of fungi, invertebrates, and soil invertebrates from 656 soil samples collected from 21 Forestry England and partner sites across England throughout 2023. The sites included an ancient woodland National Nature Reserve,…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Fungi and invertebrate environmental DNA detections in soil samples from 21 sites across England, 2023","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Laize","Barker","Edwards"],"authorFullName":["Laize, C.L.R.","Barker, L.J.","Edwards, F.K."],"authorGivenName":["C.L.R.","L.J.","F.K."],"authorOrcid":["0000-0002-7560-7769","0000-0002-2913-0664","0000-0001-9875-6663"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Monthly time series of simulated de-trended/de-seasonalised biological indicators at 86 bio-monitoring sites in England and Wales based on the modelled response of these indicators to discharge (represented by a standardised streamflow index, SSI) at 76 paired gauging stations. The biological indicators include: \n\n(i) Average Score per Taxon (ASPT)\n(ii) Lotic-invertebrate Index for Flow Evaluation (LIFE) calculated at family-level (LIFE Family)\n(iii) LIFE calculated at species-level (LIFE Species). \n\nThe simulation spans the period 1964-2012.","documentType":"GEMINI_DOCUMENT","familyName":["Laize","Barker","Edwards"],"fullName":["Laize, C.L.R.","Barker, L.J.","Edwards, F.K.","Laize, C."],"givenName":["C.L.R.","L.J.","F.K.","Cedric"],"identifier":"2ad542be-e883-4c6e-b198-7d49da62208c","incomingCitationCount":0,"keyword":["England","Wales","Historic Drought","Standardised Streamflow Index","SSI","Biological Indicators","Average Score per Taxon","ASPT","Lotic-invertebrate Index for Flow Evaluation","LIFE","water scarcity","drought"],"keywordsOther":["Standardised Streamflow Index","SSI","Biological Indicators","Average Score per Taxon","ASPT","Lotic-invertebrate Index for Flow Evaluation","LIFE","water scarcity","drought"],"keywordsPlace":["England","Wales"],"keywordsProject":["Historic Drought"],"licence":"Open government licence","lineage":"Biological indicator ASPT and LIFE (family and species levels) were obtained for 86 sites from the EA Freshwater and Marine Biological Surveys for Invertebrates England database (commonly known as 'BIOSYS'). Biological records for the UK typically exhibit an annual positive trend and seasonal offset (higher values in spring); bio-indicators were therefore de-trended and de-seasonalised by fitting linear regression models (season and year as predictors) then subtracting the fitted bio-indicator values from the raw indicator data. Monthly SSI series for period 1964-2012 for the 76 gauging stations paired to the 86 BIOSYS sites were derived using 6-month accumulation period and Tweedy distribution. Seven predictors were assembled: SSI on same monthly date as biological indicators, and six lagged SSI (6, 12, 18, 24, 30, and 36 months prior to date of biological indicators). For each bio-indicator, a model of the indicator's response to the SSI predictors was fitted using Multi-Level modelling and Multi-Model Inference. Models were then run with the whole SSI dataset to produce the final dataset of simulated de-trended/de-seasonalised ASPT, LIFE Family and LIFE Species series for period 1964-2012.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-09-15T08:44:48.000Z","orcid":["0000-0002-7560-7769","0000-0002-2913-0664","0000-0001-9875-6663"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ad542be-e883-4c6e-b198-7d49da62208c","10.5285/2ad542be-e883-4c6e-b198-7d49da62208c","doi:10.5285/2ad542be-e883-4c6e-b198-7d49da62208c"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Monthly time series of simulated de-trended/de-seasonalised biological indicators at 86 bio-monitoring sites in England and Wales based on the modelled response of these indicators to discharge (represented by a standardised streamflow index, SSI) at 76 paired gauging…","state":"published","supplementalDescription":["Barker, L. J., Hannaford, J., Chiverton, A., & Svensson, C. (2016). From meteorological to hydrological drought using standardised indicators. Hydrology and Earth System Sciences, 20(6), 2483-2505."],"supplementalName":["Paper describing the derivation of the standardised streamflow index used in modelling bio-indicators."],"temporalExtentText":"Data collected from 1964 to 2012","title":"Simulated monthly biological indicators for England and Wales 1964-2012","version":1.0,"view":["public","nuri","phtr"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=4&facet=availability%7CAvailable"}