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Plymouth"],"authorFamilyName":["Jarvis","Gandy","Mayes","Riley","Burke","Hudson-Edwards","Crane","Onnis","Jennings","Byrne","MacDonald","Amezaga","Lewis","Spears","Olszewska","Malcolm","Comber","Lofts"],"authorFullName":["Jarvis, A.","Gandy, C.","Mayes, W.","Riley, A.","Burke, I.","Hudson-Edwards, K.","Crane, R.","Onnis, P.","Jennings, E.","Byrne, P.","MacDonald, J.","Amezaga, J.","Lewis, E.","Spears, B.","Olszewska, J.","Malcolm, H.","Comber, S.","Lofts, S."],"authorGivenName":["A.","C.","W.","I.","K.","R.","P.","E.","J.","B.","H.","S."],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/04nkhwh30","https://ror.org/024mrxd33","https://ror.org/03yghzc09","https://ror.org/003109y17","https://ror.org/00rqy9422","https://ror.org/04zfme737","https://ror.org/00vtgdb53","https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/008n7pv89"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the results of British Standard leaching tests (BS EN 12457-2:2002) in which deionised water or seawater were mixed with different types of waste, under standardised conditions. The results are for concentrations of metals (in units of mg/kg) and other constituents in the leachates. The wastes used in the leaching test were all legacy wastes (i.e. from facilities or industries no longer operational) of different types: coal and metal mining, municipal waste (landfill), smelting and steel slag wastes. In all cases the wastes were sampled from the coastal zone of the UK, defined as being within 500 metres of the current UK coastline. The wastes were collected between 2020 and 2024. In some cases wastes were collected from different locations within the same site, in others triplicate samples were collected from the same location at the same site, and for one site samples were collected in three successive years.","documentType":"GEMINI_DOCUMENT","familyName":["Jarvis","Gandy","Mayes","Riley","Burke","Hudson-Edwards","Crane","Onnis","Jennings","Byrne","MacDonald","Amezaga","Lewis","Spears","Olszewska","Malcolm","Comber","Lofts"],"fullName":["Jarvis, A.","Gandy, C.","Mayes, W.","Riley, A.","Burke, I.","Hudson-Edwards, K.","Crane, R.","Onnis, P.","Jennings, E.","Byrne, P.","MacDonald, J.","Amezaga, J.","Lewis, E.","Spears, B.","Olszewska, J.","Malcolm, H.","Comber, S.","Lofts, S.","Adam Jarvis"],"funder":["Natural Environment Research Council"],"givenName":["A.","C.","W.","I.","K.","R.","P.","E.","J.","B.","H.","S."],"grant":["NE/T003286/1","NE/T003022/1","NE/T002824/1","NE/T003200/1"],"identifier":"843ebced-e75c-4963-9d0a-363c9d20ee15","incomingCitationCount":0,"keyword":["Environmental survey","Environmental risk","coast","leaching","legacy wastes","metals","pollution","water quality"],"keywordsOther":["coast","leaching","legacy wastes","metals","pollution","water quality"],"keywordsTheme":["Environmental survey","Environmental risk"],"licence":"Open government licence","lineage":"Each waste sample comprised five sub-samples of approximately 500 g, collected from an approximately 5 - 10 m2 area of waste at the location within the site. Sub-samples were collected in plastic bags using a plastic trowel. In the lab, sub-samples were combined to form a composite, which was then mixed (coned and quartered) before sub-sampling for analysis. Sample preparation and analysis from that point forwards followed the methodology of a British Standard leaching test (British Standards Institution (BSI) (2002) BS EN 12457-2:2002 Characterisation of waste - leaching - compliance test for leaching of granular waste materials and sludges - Part 2: One part batch test at a liquid to solid ratio of 10 L / kg for materials with particle size below 4 mm (without or with size reduction) (British Standards Institution, London).\nAnalysis of leachates following 24 hours of end-over-end mixing of the waste sample with either deionised water or seawater was completed using the following equipment:\n\n- A pre-calibrated Myron L 6P Ultrameter: Temperature, pH, Eh, Conductivity\n- Agilent 5800 Series ICP-OES and / or Agilent 7700 Series ICP-MS: Metals concentrations\n- Thermo Scientific Dionex Integrion Ion Chromatograph: Anions (sulphate and chloride)\n\nBoth total and filtered concentrations are reported for most constituents. In all cases filtering of leachate was through a 0.45 um cellulose nitrate filter (prior to acidification with 2% v/v concentrated nitric acid in the case of samples for metals analysis). Concentrations of constituents, reported in mg/kg, were converted from units of mg/L as detailed in BSI (2002).","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T08:37:44.000Z","organisation":["Newcastle University","University of Hull","University of Leeds","University of Exeter","University of Cagliari","The University of Queensland","Liverpool John Moores University","University of Glasgow","University of Manchester","UK Centre for Ecology & Hydrology","University of Plymouth","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/843ebced-e75c-4963-9d0a-363c9d20ee15","10.5285/843ebced-e75c-4963-9d0a-363c9d20ee15","doi:10.5285/843ebced-e75c-4963-9d0a-363c9d20ee15"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04nkhwh30","https://ror.org/024mrxd33","https://ror.org/03yghzc09","https://ror.org/003109y17","https://ror.org/00rqy9422","https://ror.org/04zfme737","https://ror.org/00vtgdb53","https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/008n7pv89","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the results of British Standard leaching tests (BS EN 12457-2:2002) in which deionised water or seawater were mixed with different types of waste, under standardised conditions. The results are for concentrations of metals (in units of mg/kg) and…","state":"published","temporalExtentText":"Data collected from 2020 to 2024","title":"Constituent concentrations of leachates from standardised leaching tests using deionised water and seawater in contact with legacy waste materials collected from coastal areas of the UK between 2020 and 2024","topic":["0/Environmental survey/","0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Rankin","McShane","Le Quesne"],"authorFullName":["Feuchtmayr, H.","Rankin, G.","McShane, G.","Le Quesne, K."],"authorGivenName":["H.","G.","K."],"authorOrcid":["0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains hourly water temperature data and hourly air temperature data of an experimental mesocosm facility from 21st April to 7th November 2023. The sixteen mesocosms (1 m deep, 2 m diameter) were filled with water from Windermere. The water temperature was measured every five minutes and an hourly average was calculated. Air temperature was measured by a weather station within the mesocosm compound. The experiment aimed to investigate different N:P nutrient ratios and water temperature was measured as this is an important factor needed to understand the results. ","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Rankin","McShane","Le Quesne"],"fullName":["Feuchtmayr, H.","Rankin, G.","McShane, G.","Le Quesne, K."],"funder":["European Commission, Directorate-General for Research & Innovation","Natural Environment Research Council"],"givenName":["H.","G.","K."],"grant":["871081 ","NE/X00497X/1"],"identifier":"406aee8f-3b85-4be6-ae7d-c92c8168a06f","incomingCitationCount":0,"keyword":["AQUACOSM-plus","Environmental survey","freshwater","mesocosm experiment","water temperature","air temperature"],"keywordsOther":["freshwater","mesocosm experiment","water temperature","air temperature"],"keywordsProject":["AQUACOSM-plus"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The water for the 16 mesocosms was collected from Windermere on 29th and 30th March 2023 and nutrients were added to some of the mesocosms throughout the experiment. Water temperature was measured every 5 minutes by platinum resistance thermometers (PRT) shaded by a plastic cover, sited around mid-depth, radially offset by 30 cm from the mesocosms’ side wall and logged by a Campbell Scientific Data Logger. The hourly average presented here is calculated from 5-minutely data over the following hour, e.g., the value for 1 p.m. is the average of the data between 1 and 1:55 p.m. All data are given in GMT (Greenwich Mean Time) and dates from 21st April to 7th November 2023. \n\nWhenever the difference between the hourly averaged two water temperature sensor data was less than 0.2 °C, the average between both temperatures was calculated. If the difference was larger than 0.2 °C, data were checked against the overall average of the temperature sensors recorded by each data logger. Whenever the difference was larger than 0.2 °C, one of the two temperature sensors had drifted either higher than the average or below the average temperature. In those cases, this sensor was ignored and only data from one temperature sensor was used during those occasions (see table in the supporting documentation).\n\nAir temperature was measured at a weather station within the mesocosm compound (Vaisala weather transmitter WXT520) at around 2.7m height.\n","locations":["POLYGON((-2.776 54.013, -2.776 54.015, -2.774 54.015, -2.774 54.013, -2.776 54.013))"],"metadataDate":"2026-07-24T21:14:18.000Z","orcid":["0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/406aee8f-3b85-4be6-ae7d-c92c8168a06f","10.5285/406aee8f-3b85-4be6-ae7d-c92c8168a06f","doi:10.5285/406aee8f-3b85-4be6-ae7d-c92c8168a06f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains hourly water temperature data and hourly air temperature data of an experimental mesocosm facility from 21st April to 7th November 2023. The sixteen mesocosms (1 m deep, 2 m diameter) were filled with water from Windermere. The water temperature…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Hourly water temperature of 16 experimental mesocosms and hourly air temperature from April to November 2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture"],"authorFamilyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"authorFullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"authorGivenName":["N.","P ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C."],"authorOrcid":["0000-0001-7386-0472"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current extent of pasture land were combined to identify the potential country level vulnerabilities of pasture land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on pasture availability in 2050.","documentType":"GEMINI_DOCUMENT","familyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"fullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"givenName":["N.","P ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C.","Nuala"],"identifier":"ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","incomingCitationCount":0,"keyword":["Climate and climate change","Agriculture","Environmental risk","Hydrology","water scarcity","drought"],"keywordsOther":["water scarcity","drought"],"keywordsTheme":["Climate and climate change","Agriculture","Environmental risk","Hydrology"],"licence":"Open government licence","lineage":"Global maps, of the change in annual runoff (%) and water scarcity (index value between 1and 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from five different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading).\n\nGlobal maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.\n\nData used in this study was collected from several sources and cited in the supporting documentation.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T14:52:52.000Z","orcid":["0000-0001-7386-0472"],"organisation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-11-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","doi:10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current…","state":"published","temporalExtentText":"Data collected from 2050 to 2050","title":"The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble","topic":["0/Climate and climate change/","0/Agriculture/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Bath"],"authorFamilyName":["Homan"],"authorFullName":["Homan, T."],"authorGivenName":["T."],"authorOrcid":["0009-0004-1664-2849"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge readings at Environment Agency (EA) managed flow gauging stations and at sewage treatment work (STW) effluents. These measurements were taken between 12/08/2022 and 14/09/2022 inclusive. \n\nMeasurements were recorded at multiple river sites, boreholes, and STW effluents. All sites are contained within the catchment area between the Environment Agency gauging stations located at Dorchester and East Stoke i.e., the lower part of the River Frome. In total, 24 monitoring sites exist. \n\nThe data were collected for PhD project “Supporting river water-quality management by high-resolution modelling: a case study in a lowland permeable chalk catchment” awarded to Thomas Homan and funded under GW4 FRESH CDT, supported by the Natural Environment Research Council (Grant NE/R0115241). Water quality data were collected by Thomas Homan (PhD candidate at the University of Bath). Wessex Water Ltd. provided high frequency measurements of ammonium and discharge at their STW sites, borehole water quality measurements, as well as high-frequency nitrate measurements at sites: Louds Mill and East Stoke. The Environment Agency discharge data were provided under the terms of the Open Government Licence.","documentType":"GEMINI_DOCUMENT","familyName":["Homan"],"fullName":["Homan, T."],"funder":["Natural Environment Research Council"],"givenName":["T."],"grant":["NE/R011524/1"],"identifier":"ccaf2871-1a1a-4cb4-aadf-883fb984a90f","incomingCitationCount":0,"keyword":["grab samples","River Frome","Dorset","Water quality","Environmental survey","chalk stream","river discharge","sensor","river flow"],"keywordsInstrument":["grab samples"],"keywordsOther":["chalk stream","river discharge","sensor","river flow"],"keywordsPlace":["River Frome","Dorset"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Non-Open government licence","lineage":"Data from four deployed YSI EXO2 sondes, provided as part of Meteor Communications Ltd.’s Water Quality as a Service (WQaaS), were downloaded from the MeteorCloud secure web portal. EXO3 sonde data were downloaded in the field from the sensor’s internal storage. Wessex Water Ltd. provided 30-minute NO3-N data, measured at Louds Mill and East Stoke using Hach Nitratax eco sc UV sensors (pathlength 5 mm, accuracy ± 5 %); grab sample results from their quality assured Scientific Centre; and high-frequency sewage effluent discharge data. Environment Agency (EA) hydrology data were downloaded from the online EA hydrology data explorer.\nAll data were collated into one dataset and data wrangling and cleaning were performed in R statistical programming software. Only outliers that could be explained were removed from the dataset. Grab samples were used to spot-check the quality of the continuous data. ","locations":["POLYGON((-2.457 50.668, -2.457 50.735, -2.16 50.735, -2.16 50.668, -2.457 50.668))"],"metadataDate":"2026-07-25T14:05:55.000Z","orcid":["0009-0004-1664-2849"],"organisation":["University of Bath","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ccaf2871-1a1a-4cb4-aadf-883fb984a90f","10.5285/ccaf2871-1a1a-4cb4-aadf-883fb984a90f","doi:10.5285/ccaf2871-1a1a-4cb4-aadf-883fb984a90f"],"resourceType":"Dataset","rightsHolder":["University of Bath"],"ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"High-resolution water quality data from the River Frome catchment, Dorset, UK, August-September 2022","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Bath","7 Lakes Alliance"],"authorFamilyName":["Slavin","Wain"],"authorFullName":["Slavin, E.I.","Wain, D.J."],"authorGivenName":["E.I.","D.J."],"authorOrcid":["0000-0001-9400-0703","0000-0001-5091-102X"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This  dataset contains Dissolved oxygen concentrations from two different locations in Durleigh Reservoir in Somerset, England. Two miniDOT oxygen loggers were fitted with miniWIPERs and deployed at two locations in Durleigh on 30 May 2018. Both sensors were collected on 5 October 2018 and the raw data files are presented in this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Slavin","Wain"],"fullName":["Slavin, E.I.","Wain, D.J.","Slavin, E."],"funder":["Natural Environment Research Council"],"givenName":["E.I.","D.J.","Emily"],"identifier":"26b35c45-c174-4930-b82c-bcd0d23c39e1","incomingCitationCount":0,"keyword":["Water quality","Pollution","Environmental survey","reservoir"],"keywordsOther":["reservoir"],"keywordsTheme":["Water quality","Pollution","Environmental survey"],"licence":"Open government licence","lineage":"Each location was marked with a buoy (A2 size) attached to a 10 kg weight using rope. The miniDOTs were attached onto the rope near the weight (bottom of the water column) at both locations. Both miniDOTs were set up to take measurements at ten-minute intervals for dissolved oxygen (% saturation and mg l-1) and temperature (deg C)\n\nThe first site, labelled location 2, is closer to the artificial mixing devices (surface mixers) installed in the reservoir (60 m away) and deeper, with a water depth of 6 m when the MiniDOT logger was deployed. The second site, labelled location 3, is farther away from the artificial mixing devices installed in the reservoir (435 m away) and in a shallower region, with a water depth of 4 m on deployment. On the 13 June 2018 and 21 August 2018, both miniDOTs were brought to the surface to change miniWIPER batteries and remove any fouling from the sensors. Nevertheless, there were periods during the 2018 deployment where the sensors were fouled, and dissolved oxygen measurements were reading 0% saturation.","locations":["POLYGON((-3.056 51.118, -3.056 51.125, -3.037 51.125, -3.037 51.118, -3.056 51.118))"],"metadataDate":"2026-07-24T19:26:35.000Z","orcid":["0000-0001-9400-0703","0000-0001-5091-102X"],"organisation":["University of Bath","7 Lakes Alliance","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26b35c45-c174-4930-b82c-bcd0d23c39e1","10.5285/26b35c45-c174-4930-b82c-bcd0d23c39e1","doi:10.5285/26b35c45-c174-4930-b82c-bcd0d23c39e1"],"resourceType":"Dataset","rightsHolder":["University of Bath"],"ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"This  dataset contains Dissolved oxygen concentrations from two different locations in Durleigh Reservoir in Somerset, England. Two miniDOT oxygen loggers were fitted with miniWIPERs and deployed at two locations in Durleigh on 30 May 2018. Both sensors were collected…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Dissolved Oxygen concentrations from Durleigh Reservoir, 2018","topic":["0/Water quality/","0/Pollution/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Plymouth","CSIR Forestry Research Institute of Ghana","University of Leeds"],"authorFamilyName":["Fauset","Hagan Brown","Addo-Danso","Gloor","Fyfe","Ganderton"],"authorFullName":["Fauset, S.","Hagan Brown, W.","Addo-Danso, S.A.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"authorGivenName":["S.","W.","S.A.","E.U.","R.","P."],"authorOrcid":["0000-0003-4246-1828","0000-0003-4399-0182","0000-0001-5074-1673"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems). This site is a moist semi-deciduous tropical forest. The field of view of the camera includes a plot which was lightly selectively logged over 60 years ago. The trees included in the field of view are of a variety of species including both deciduous and evergreen species. Data were collected in order to assess the differences between species in their canopy temperature and for greater understanding of plant temperature regulation. ","documentType":"GEMINI_DOCUMENT","familyName":["Fauset","Hagan Brown","Addo-Danso","Gloor","Fyfe","Ganderton"],"fullName":["Fauset, S.","Hagan Brown, W.","Addo-Danso, S.A.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"funder":["Natural Environment Research Council"],"givenName":["S.","W.","S.A.","E.U.","R.","P."],"grant":["NE/V008366/1"],"identifier":"ae09832e-3258-4619-9b9b-65e1c1d09960","incomingCitationCount":0,"keyword":["West Africa","Ghana","Climate and climate change","Environmental survey","canopy temperature","semi-deciduous","ecophysiology","tropical forest","forest"],"keywordsOther":["canopy temperature","semi-deciduous","ecophysiology","tropical forest","forest"],"keywordsPlace":["West Africa","Ghana"],"keywordsTheme":["Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Data were collected using a LabView program to control the camera. Data were initially stored on a local PC, and then transferred to a University of Plymouth network server. Data provided are the raw output from the camera.","locations":["POLYGON((1.29 6.64, 1.29 6.74, 1.37 6.74, 1.37 6.64, 1.29 6.64))"],"metadataDate":"2026-07-25T13:23:39.000Z","orcid":["0000-0003-4246-1828","0000-0003-4399-0182","0000-0001-5074-1673"],"organisation":["University of Plymouth","CSIR Forestry Research Institute of Ghana","University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae09832e-3258-4619-9b9b-65e1c1d09960","10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960","doi:10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960"],"resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems).…","state":"published","temporalExtentText":"Data collected from 2022 to 2023","title":"Canopy temperatures from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023","topic":["0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["Maliko","Filip","Matt","Claus","Jamie"],"authorOrcid":["0000-0002-1516-6834","0000-0003-1142-4039","0000-0001-9294-5826","0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. \n\n[1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902\n[2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["Maliko","Filip","Matt","Claus","Jamie"],"identifier":"dfd59438-2170-4472-b810-bab33a83d09f","incomingCitationCount":0,"keyword":["Environmental risk","Hydrology","SPI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","drought","atmospheric precipitation"],"keywordsOther":["SPI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","drought","atmospheric precipitation"],"keywordsTheme":["Environmental risk","Hydrology"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in McKee et al. [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by Stagge et al. [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in Tanguy et al. [3]). To calculate SPI, the R package SCI was used (Gudmundsson & Stagge [4]), but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [5], Keller et al. [6]) which has been area-averaged over each of the Integrated Hydrological Units (IHU) groups(Kral et al. [7]). \n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.\n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. https://doi.org/10.1002/joc.4267\n[3] Tanguy et al. (2015), in preparation.\n[4] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf\n[5] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[6] Keller, V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ https://doi.org/10.5194/essdd-8-83-2015.\n[7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"metadataDate":"2026-07-25T14:25:37.000Z","orcid":["0000-0002-1516-6834","0000-0003-1142-4039","0000-0001-9294-5826","0000-0002-5256-3310"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1432105852978","CEH:EIDC::1432105852978","https://catalogue.ceh.ac.uk/id/dfd59438-2170-4472-b810-bab33a83d09f","10.5285/dfd59438-2170-4472-b810-bab33a83d09f","doi:10.5285/dfd59438-2170-4472-b810-bab33a83d09f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different…","state":"published","supplementalName":["CEH droughts portal"],"temporalExtentText":"Data collected from 1961 to 2012","title":"Standardised Precipitation Index time series for Integrated Hydrological Units Groups (1961-2012)","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey","Aarhus University"],"authorFamilyName":["Ebuele","Tandy","Brentegani","Lebron","Tye","Keith","Hermansen","Wollesen de Jonge","Zaresourmanabad","Robinson"],"authorFullName":["Ebuele, V.O.","Tandy, S.","Brentegani, M.","Lebron, I.","Tye, A.","Keith, A.","Hermansen, C.","Wollesen de Jonge, L.","Zaresourmanabad, M.","Robinson, D.A."],"authorGivenName":["Victor O.","Susan","Michele","Inma","Andrew","Aidan","Cecile","Lis","Marzieh","David A."],"authorOrcid":["0000-0001-9410-1109","0000-0003-0662-0991","0000-0001-8610-9717","0000-0002-1925-3732","0000-0003-2874-0644","0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01aj84f44"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results","documentType":"GEMINI_DOCUMENT","familyName":["Ebuele","Tandy","Brentegani","Lebron","Tye","Keith","Hermansen","Wollesen de Jonge","Zaresourmanabad","Robinson"],"fullName":["Ebuele, V.O.","Tandy, S.","Brentegani, M.","Lebron, I.","Tye, A.","Keith, A.","Hermansen, C.","Wollesen de Jonge, L.","Zaresourmanabad, M.","Robinson, D.A.","Victor Oghogho Ebuele"],"funder":["Natural Environment Research Council"],"givenName":["Victor O.","Susan","Michele","Inma","Andrew","Aidan","Cecile","Lis","Marzieh","David A."],"grant":["NE/Y006208/1","10053484","NE/R016429/1"],"identifier":"ea727f8d-6441-4d88-8ed7-1760bda0c3c3","incomingCitationCount":0,"keyword":["Environmental survey","Environmental risk","Soil","Vis-NIR","spectroscopy"],"keywordsOther":["Vis-NIR","spectroscopy"],"keywordsTheme":["Environmental survey","Environmental risk","Soil"],"licence":"Open government licence","lineage":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:52:00.000Z","orcid":["0000-0001-9410-1109","0000-0003-0662-0991","0000-0001-8610-9717","0000-0002-1925-3732","0000-0003-2874-0644","0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","Aarhus University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ea727f8d-6441-4d88-8ed7-1760bda0c3c3","10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3","doi:10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01aj84f44","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey,…","state":"published","temporalExtentText":"Data collected from 2018 to 2019","title":"Topsoil visible and near-infrared (Vis-NIR) spectral data from the UKCEH Countryside Survey, Great Britain, 2018-2019","topic":["0/Environmental survey/","0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Glasgow","University College Cork"],"authorFamilyName":["McGhee","Bracken","Dominoni","McCafferty"],"authorFullName":["McGhee, W.A.O.","Bracken, A.M.","Dominoni, D.M.","McCafferty, D.J."],"authorGivenName":["William A.O.","Anna M.","Davide M.","Dominic J."],"authorOrcid":["0009-0004-5558-643X"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/03265fv13"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) identified from camera trap images in 24 open spaces in Glasgow from April to September 2024, along with information describing the detection zone of camera traps and movement speed calculated from video files in a subset of open spaces from June to December 2024. Additionally, a file is present describing the mean number of domestic dogs at each camera for every month along with a file showing set-up and take-down times of each camera at each site. \nData was collected by the GALLANT (Glasgow as a Living Lab Accelerating Novel Transformation) WP2 team as part of a study aiming to validate visual biodiversity surveys performed by the Glasgow City Council.","documentType":"GEMINI_DOCUMENT","familyName":["McGhee","Bracken","Dominoni","McCafferty"],"fullName":["McGhee, W.A.O.","Bracken, A.M.","Dominoni, D.M.","McCafferty, D.J.","William McGhee"],"funder":["Natural Environment Research Council"],"givenName":["William A.O.","Anna M.","Davide M.","Dominic J."],"grant":["NE/W005042/1"],"identifier":"e41601be-1fc7-47ed-85c4-ec00be0c3f93","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","urban ecology","green space"],"keywordsOther":["urban ecology","green space"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Non-Open government licence","lineage":"Data were generated by running images through an AI identification software (\"CameraTrapDetectoR\"), which informed whether images contained a mammal, bird, human, vehicle or was empty. Images which contained a human, vehicle or were empty were removed from further analysis. Remaining images were identified by eye and images of grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) were filtered into the files presented here. \nVideo analysis was done in the field, discarding images not of the three aforementioned species, as well as rabbit (Oryctolagus cunciculus).\nDetection zone calculations were done with assistance from the photo-editing software Canva.\nDomestic dogs were counted for one week, per camera, per month and averaged.","locations":["POLYGON((-4.493 55.758, -4.493 55.948, -3.996 55.948, -3.996 55.758, -4.493 55.758))"],"metadataDate":"2026-07-25T14:48:54.000Z","orcid":["0009-0004-5558-643X"],"organisation":["University of Glasgow","University College Cork","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e41601be-1fc7-47ed-85c4-ec00be0c3f93","10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93","doi:10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/03265fv13","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) identified from camera trap images in 24 open spaces in Glasgow from April to September 2024, along with information describing the…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Camera trap monitoring of grey squirrel, red fox and roe deer in Glasgow, 2024","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (length) data for landscape linear features across Great Britain in 1990. Data are presented as lengths of different feature categories (such as fences, walls and lines of trees), with associated species attributes, from 506 km squares, surveyed for the Countryside Survey long term monitoring project (note: not all surveyed squares contained linear features). 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, vegetation species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"311daad4-bc8c-485a-bc8a-e0d054889219","incomingCitationCount":1,"keyword":["Great Britain","Countryside Survey","Environmental survey","fences ","walls ","tree lines ","grass strips ","banks ","woody linear features","hedge"],"keywordsOther":["fences ","walls ","tree lines ","grass strips ","banks ","woody linear features","hedge"],"keywordsPlace":["Great Britain"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by professional surveyors using standard methodologies (refer to the online documentation). Data were recorded from 506 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in 1998-2000 by the Centre for Ecology & Hydrology.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:33:56.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/311daad4-bc8c-485a-bc8a-e0d054889219","10.5285/311daad4-bc8c-485a-bc8a-e0d054889219","doi:10.5285/311daad4-bc8c-485a-bc8a-e0d054889219"],"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 landscape linear features across Great Britain in 1990. Data are presented as lengths of different feature categories (such as fences, walls and lines of trees), with associated species attributes, from 506 km squares,…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Landscape linear feature data 1990 [Countryside Survey]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kelvin","Acreman","Harding","Morrison"],"authorFullName":["Kelvin, J.","Acreman, M.C.","Harding, R.J.","Morrison, R."],"authorGivenName":["J.","M.C.","R.J.","R."],"authorOrcid":["0000-0002-8946-739X","0000-0002-1847-3127"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at the Wicken Sedge Fen, a conservation managed lowland fen (site code: EF-LN) in the Cambridgeshire Fens, UK. Turbulent flux densities (fluxes) were monitored using the micrometeorological eddy covariance (EC) technique between 2009-03-20 to 2009-12-31, and 2010-04-09 to 2011-01-16. The dataset includes ancillary weather and soil physics observations, as well as variables that characterise atmospheric turbulence.","documentType":"GEMINI_DOCUMENT","familyName":["Kelvin","Acreman","Harding","Morrison"],"fullName":["Kelvin, J.","Acreman, M.C.","Harding, R.J.","Morrison, R."],"funder":["Natural Environment Research Council"],"givenName":["J.","M.C.","R.J.","R.","Ross"],"grant":["NE/R016429/1"],"identifier":"a70ebc3a-4a11-4e7d-bae0-c9808e0cb585","incomingCitationCount":1,"keyword":["Soil","Environmental survey","fen","carbon dioxide","water flux","energy flux","soil","meteorological parameter"],"keywordsOther":["fen","carbon dioxide","water flux","energy flux","soil","meteorological parameter"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Eddy covariance (EC) flux observations were made above the grassland canopy at a measurement height of 3.95 m using an open-path eddy covariance system. Ancillary meteorological and soil physics observations were co-located with the eddy covariance station.\n\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 7.0.6. Quality control of EC data involved removal of statistical outliers and tests based on the theoretical requirements for successful application of the EC technique. Data gaps in EC data were filled using the Marginal Distribution Sampling approach. Where possible, missing meteorological data were filled using observations collected by an automated weather station located on the Wicken Fen site.\n\nTime series data are supplied as a single .csv file that contains tabular data according to the columns described in Table 1 in the accompanying documentation.","locations":["POLYGON((0.255 52.282, 0.255 52.319, 0.324 52.319, 0.324 52.282, 0.255 52.282))"],"metadataDate":"2026-08-11T08:33:52.000Z","orcid":["0000-0002-8946-739X","0000-0002-1847-3127"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a70ebc3a-4a11-4e7d-bae0-c9808e0cb585","10.5285/a70ebc3a-4a11-4e7d-bae0-c9808e0cb585","doi:10.5285/a70ebc3a-4a11-4e7d-bae0-c9808e0cb585"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at the Wicken Sedge Fen, a conservation managed lowland fen (site code:…","state":"published","temporalExtentText":"Data collected from 2009 to 2009; Data collected from 2010 to 2011","title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a conservation managed fen, Wicken Sedge Fen, Cambridgeshire, UK, 2009 to 2010","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Manchester Metropolitan University"],"authorFamilyName":["Jenkinson","Dean","Redfern","Shaw"],"authorFullName":["Jenkinson, L.A.","Dean, A.P.","Redfern, J.","Shaw, K.J."],"authorGivenName":["L.A.","A.P.","J.","K.J."],"authorOrcid":["0000-0001-6893-5118","0000-0003-0958-683X","0000-0001-9241-4195"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about water conditions at Tatton Mere and Rostherne Mere, Cheshire over Summer 2022. Data was collected weekly as part of a study into the presence of algal blooms and the toxins they may produce. In situ testing recorded temperature, pH, oxygen and conductivity measures. Water samples were also collected and analysed in the laboratory for anion, cation and metal concentrations, chlorophyll-a concentrations and cyanobacteria identification and counts. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/X011607/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Jenkinson","Dean","Redfern","Shaw"],"fullName":["Jenkinson, L.A.","Dean, A.P.","Redfern, J.","Shaw, K.J.","Shaw, K."],"funder":["Natural Environment Research Council"],"givenName":["L.A.","A.P.","J.","K.J.","Kirsty"],"grant":["NE/X011607/1"],"identifier":"3fcb8359-9ca3-4319-b680-e0286f59571a","incomingCitationCount":0,"keyword":["Cheshire Meres","Environmental survey","Water chemistry","Cyanobacteria ","algal bloom"],"keywordsOther":["Water chemistry","Cyanobacteria ","algal bloom"],"keywordsPlace":["Cheshire Meres"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Samples were taken on a weekly basis from three sampling locations at each site. Field measurements were conducted for pH, conductivity, oxygen and temperature, using field meters calibrated according to the manufacturer’s instructions. \n\nFor analysis of water chemistry, water samples were filtered and ran using ion chromatography (IC) to quantify chloride, nitrite, sulphate, nitrate, phosphate, sodium, ammonium, magnesium, potassium and calcium.  \n\nChlorophyll-a samples were prepared by filtering water onto a Whatman filter paper (0.2µm) and extracted in 96% ethanol, before absorbance was measured at wavelengths of 665 and 750 nm. \n\nCyanobacterial were identified and enumerated using a Sedgewick-Rafter slide and analysed using a light microscope. \n","locations":["POLYGON((-2.445 53.306, -2.445 53.36, -2.347 53.36, -2.347 53.306, -2.445 53.306))"],"metadataDate":"2026-07-24T20:41:40.000Z","orcid":["0000-0001-6893-5118","0000-0003-0958-683X","0000-0001-9241-4195"],"organisation":["Manchester Metropolitan University","NERC EDS Environmental Information Data Centre","Manchester Metropolitan University "],"publicationDate":"2024-05-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3fcb8359-9ca3-4319-b680-e0286f59571a","10.5285/3fcb8359-9ca3-4319-b680-e0286f59571a","doi:10.5285/3fcb8359-9ca3-4319-b680-e0286f59571a"],"resourceType":"Dataset","rightsHolder":["Manchester Metropolitan University "],"ror":["https://ror.org/04xw4m193","https://ror.org/02hstj355"],"shortenedDescription":"This dataset contains information about water conditions at Tatton Mere and Rostherne Mere, Cheshire over Summer 2022. Data was collected weekly as part of a study into the presence of algal blooms and the toxins they may produce. In situ testing recorded temperature,…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Environmental and biological measurements from Tatton Mere and Rostherne Mere, UK, 2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"authorGivenName":["L","H","R","M","C"],"authorOrcid":["0000-0003-2530-2120"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony forming units (CFUs) of S. Typhimurium on the plastics after destructive sampling of the mesocosm jars. The results of a  flooding and leachate experiment are also included, containing transfer potential and leachate gradients of S. Typhimurium in each soil under ambient, and flooding conditions. Water was added to soil columns containing the microbeads to simulate flooding, and the CFUs in the water and on virgin plastics were measured to determine transfer potential. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken at each time point.\n\nThis dataset was created as part of a study investigating how human pathogens enter agricultural environments via flooding or contaminated irrigation, and to determine the survivability of S. Typhimurium in these soils. This work is supported by the National Environmental Research Council (NE/V005847/1).","documentType":"GEMINI_DOCUMENT","familyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"fullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["L","H","R","M","C","Luke"],"grant":["NE/V005847/1"],"identifier":"0bfdfa23-15f8-4ffd-b1dc-e77178af0304","incomingCitationCount":0,"keyword":["Environmental risk","Pollution","Soil","Water quality","plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsOther":["plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsTheme":["Environmental risk","Pollution","Soil","Water quality"],"licence":"Open government licence","lineage":"Mesocosm experiments were designed in two stages. For the persistence experiment jars were filled with two soil types and microplastic beads were mixed with the soils and left. At each time point destructive sampling was used to recover the beads and measure the surviving CFUs of S. Typhimurium on the plastics. In the flooding and leachate experiment, water was added to columns containing beads and the CFUs recovered in the water was recorded (flooding) and CFUs on virgin plastics was used to measure transfer. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and  in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken each at each time point.\n","metadataDate":"2026-07-24T18:59:56.000Z","orcid":["0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","doi:10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony…","state":"published","supplementalDescription":["Woodford, L., Fellows, R., White, H. L., Ormsby, M. J., Pow, C. J., & Quilliam, R. S. (2024). Survival and transfer potential of Salmonella enterica serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils. In Environmental Science and Pollution Research (Vol. 31, Issue 39, pp. 51353–51363). Springer Science and Business Media LLC. "],"temporalExtentText":"Data collected from 2023 to 2023","title":"Survival rates and transfer potential measurements of Salmonella enterica Serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils","topic":["0/Environmental risk/","0/Pollution/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Royal Botanic Garden, Edinburgh","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Chamberlain","Wilson"],"authorFullName":["Chamberlain, D.F.","Wilson, J."],"authorGivenName":["D.F.","J."],"authorOrcid":["0000-0001-5706-5874"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is bryophyte species distribution data from a survey of the city of Edinburgh UK. The survey was conducted on a structured monad by monad basis and comprises 5551 observations from 138 1 x 1 km squares and 272 taxa collected between 2015 and 2024 and provides a comprehensive survey of bryophyte species distribution. Much of the data is listed at finer resolution (100 x 100, or 10 x 10m) and includes habitats.\nThis data is part of the Botanical Society of Scotland SCIO project which records the Urban Flora of Scotland.\n","documentType":"GEMINI_DOCUMENT","familyName":["Chamberlain","Wilson"],"fullName":["Chamberlain, D.F.","Wilson, J."],"givenName":["D.F.","J.","Julia"],"identifier":"7c181090-416c-448f-9980-9e3bde88a82a","incomingCitationCount":0,"keyword":["Edinburgh","Environmental survey","bryophyte","urban flora","moss","liverworts","hornwort"],"keywordsOther":["bryophyte","urban flora","moss","liverworts","hornwort"],"keywordsPlace":["Edinburgh"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"In recognition of the fact that botanical surveys of urban areas have been comparatively neglected, the Urban Flora of Scotland project was set up in 2015 to investigate the flora of towns and cities with a population of more than 1000. This data is a subset of the bryological records collected, and only contains data for Edinburgh. Data was collected by volunteer experienced bryologists. No funding agencies were involved.\nAll species names and grid references checked. Where duplicate species data was collected at the same location only the most recent data is included in this file.\n","locations":["POLYGON((-3.307 55.878, -3.307 55.997, -3.011 55.997, -3.011 55.878, -3.307 55.878))"],"metadataDate":"2026-07-25T06:57:14.000Z","orcid":["0000-0001-5706-5874"],"organisation":["Royal Botanic Garden, Edinburgh","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Botanical Society of Scotland SCIO"],"publicationDate":"2024-11-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c181090-416c-448f-9980-9e3bde88a82a","10.5285/7c181090-416c-448f-9980-9e3bde88a82a","doi:10.5285/7c181090-416c-448f-9980-9e3bde88a82a"],"resourceType":"Dataset","rightsHolder":["Botanical Society of Scotland SCIO"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is bryophyte species distribution data from a survey of the city of Edinburgh UK. The survey was conducted on a structured monad by monad basis and comprises 5551 observations from 138 1 x 1 km squares and 272 taxa collected between 2015 and 2024 and provides a…","state":"published","temporalExtentText":"Data collected from 2015 to 2024","title":"Bryophyte species distribution at monad or finer resolution, Edinburgh, UK, 2015-2024","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1990 in a 1km grid format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as percent habitat per 1km square for 16 different habitat types. 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 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 habitat areas, vegetation species, soil data, linear feature data and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"53ef00f4-e0c5-4095-850e-d4c474bc4ffd","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","habitats"],"keywordsOther":["habitats"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in the 1990s. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as percentage values per 1km square.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:04:12.000Z","orcid":["0000-0003-4006-7755"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-01-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1389883911200","CEH:EIDC::1389883911200","https://catalogue.ceh.ac.uk/id/53ef00f4-e0c5-4095-850e-d4c474bc4ffd","10.5285/53ef00f4-e0c5-4095-850e-d4c474bc4ffd","doi:10.5285/53ef00f4-e0c5-4095-850e-d4c474bc4ffd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1990 in a 1km grid format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project,…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Countryside Survey 1990 mapped estimates of Broad Habitat areas in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["National Institute of Amazonian Researches","National Institute of Amazonia Researches"],"authorFamilyName":["Moraes","Martins","Siebert","Andersen","Quesada","Hartley"],"authorFullName":["Moraes, A.C.M.","Martins, M.P.","Siebert, L.","Andersen, K.M.","Quesada, C.A.N.","Hartley, I.P."],"authorGivenName":["A.C.M.","M.P.","L.","K.M.","C.A.N.","I.P."],"authorOrcid":["0000-0002-2541-5320","0000-0002-1460-9904","0000-0002-9183-6617"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of leaf nutrients from litterfall in a fertilised old-growth forest in the Central Amazon. Data was collected in a full factorial nutrient addition experiment (nitrogen, phosphorus, and cation treatments). The dataset includes realized nutrient concentration carbon, nitrogen, phosphorus, potassium, magnesium, calcium in grams and manganese, zinc in miligrams. Also hemicellulose, cellulose and lignin as a percentage.\n\nThe fieldwork was completed in August of 2017, 2018, and 2019.\n\nThe study was funded by NERC, BDFFP (logistical support), and the Brazilian government (students scholarship).","documentType":"GEMINI_DOCUMENT","familyName":["Moraes","Martins","Siebert","Andersen","Quesada","Hartley"],"fullName":["Moraes, A.C.M.","Martins, M.P.","Siebert, L.","Andersen, K.M.","Quesada, C.A.N.","Hartley, I.P."],"givenName":["A.C.M.","M.P.","L.","K.M.","C.A.N.","I.P."],"identifier":"c2eaade3-5395-4c62-9733-d9dbed1546af","incomingCitationCount":0,"keyword":["Brazil","Central Amazon","Environmental Survey"],"keywordsPlace":["Brazil","Central Amazon"],"keywordsTheme":["Environmental Survey"],"licence":"Open government licence","lineage":"To determine macro and micronutrients and secondary compounds, litter samples were bulked by plot using litterfall material collected during the months of August of 2017, 2018, and 2019. All analysis were conducted at INPA's soil and plants lab. After dried, samples 0.5g of each sample were ground using a knife and/ or ball mill for nutritional analysis. Leaves and insect frass were analysed separately. Micronutrients, phosphorus, and cations were analysed by nitroperchloric digestion protocol described by Malavolta et al. (1989). The base cations (K, Ca, and Mg) and micronutrients were determined by atomic absorption spectrophotometry (AAS, 1100 B, Perkin-Elmer, Ueberlingen, Germany) (Anderson and Ingram, 1993). The total P concentrations were determined by colorimetry (Anderson and Ingram, 1993), and quantified by spectrophotometry (UV-120-01, Shimadzu, Kyoto, Japan). The C and N contents were determined using an automatic C and N analyzer (VARIO MAX CHN Element Analyzer) (Nelson and Sommers, 1996). Leaves were not identified by species and leaf characteristics represent means at plot level (Metcalfe et al., 2014). \n\nConcentrations of lignin and cellulose in the litter were determined by the ADF- sulfuric method (Van Soest, 1963; Rowland and Roberts, 1994). The method consists in applying an acidic detergent solution (ADF), followed by the cellulose using H2SO4 72%, with lignin subsequently determined by weight loss on ignition 0 to 50° C in a muffle furnace. \n","locations":["POLYGON((-60 -2.5, -60 -2, -59 -2, -59 -2.5, -60 -2.5))"],"metadataDate":"2026-07-25T14:00:45.000Z","orcid":["0000-0002-2541-5320","0000-0002-1460-9904","0000-0002-9183-6617"],"organisation":["National Institute of Amazonian Researches","National Institute of Amazonia Researches","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2eaade3-5395-4c62-9733-d9dbed1546af","10.5285/c2eaade3-5395-4c62-9733-d9dbed1546af","doi:10.5285/c2eaade3-5395-4c62-9733-d9dbed1546af"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of leaf nutrients from litterfall in a fertilised old-growth forest in the Central Amazon. Data was collected in a full factorial nutrient addition experiment (nitrogen, phosphorus, and cation treatments). The dataset includes realized nutrient concentration…","state":"published","temporalExtentText":"Data collected from 2017 to 2019","title":"Litterfall nutrient content in fertilised plots in the Central Amazon, 2017-2019","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["University of York"],"authorFamilyName":["Mitchell","White","Arnold"],"authorFullName":["Mitchell, L.","White, P.C.L.","Arnold, K.E."],"authorGivenName":["L.","P.C.L.","K.E."],"authorOrcid":["0000-0003-2162-013X","0000-0002-7496-5775","0000-0002-6485-6065"],"authorRor":["https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains GPS data fixes (WGS84 format) from 32 European nightjars (Caprimulgus europaeus) . The data contains additional information on identity of the bird, date, time of fix acquisition, and the associated site and night number (between 6 and 17 nights of data, varying between individuals). These data were collected on the Humberhead peatlands NNR, South Yorkshire, from 2015 until 2018. Birds were caught in mist nets and tail-mounted miniaturised GPS tags (Pathtrack, Otley, UK; <3% bird bodyweight) were fitted by BTO-licensed researchers.\n\nData were collected as part of a NERC ACCE-funded PhD.","documentType":"GEMINI_DOCUMENT","familyName":["Mitchell","White","Arnold"],"fullName":["Mitchell, L.","White, P.C.L.","Arnold, K.E."],"givenName":["L.","P.C.L.","K.E.","Lucy"],"identifier":"aa20f8c4-bbdb-4dfa-82b4-b9b3fd8f34eb","incomingCitationCount":1,"keyword":["Animal behaviour","Environmental survey","Caprimulgus europaeus"],"keywordsOther":["Caprimulgus europaeus"],"keywordsTheme":["Animal behaviour","Environmental survey"],"licence":"Open government licence","lineage":"Data were collected at Thorne (53.636, -0.89682) and Hatfield Moors (53.545, -0.93493), part of Humberhead Peatlands NNR, South Yorkshire. Tags were briefly calibrated to estimate error (between 5 - 25 metres depending on habitat type) and programmed to acquire fixes every 3 or 5 minutes (2015/16 and 2017/18 respectively). \nNightjars captured by mist net from 21:00 to 01:00 using mist nets, under BTO licence. Birds were measured, ringed and equipped with a nanoFix mini GPS tag (Pathtrack, Otley, UK.) on the two central tail feathers. \nGPS data has been analysed to produce foraging tracks, home ranges and resource selection in ArcMap and R. \n","locations":["POLYGON((-0.935 53.55, -0.935 53.64, -0.897 53.64, -0.897 53.55, -0.935 53.55))"],"metadataDate":"2026-07-25T13:20:59.000Z","orcid":["0000-0003-2162-013X","0000-0002-7496-5775","0000-0002-6485-6065"],"organisation":["University of York","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-05-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/aa20f8c4-bbdb-4dfa-82b4-b9b3fd8f34eb","10.5285/aa20f8c4-bbdb-4dfa-82b4-b9b3fd8f34eb","doi:10.5285/aa20f8c4-bbdb-4dfa-82b4-b9b3fd8f34eb"],"resourceType":"Dataset","ror":["https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains GPS data fixes (WGS84 format) from 32 European nightjars (Caprimulgus europaeus) . The data contains additional information on identity of the bird, date, time of fix acquisition, and the associated site and night number (between 6 and 17 nights…","state":"published","temporalExtentText":"Data collected from 2015 to 2018","title":"GPS tracking data for 32 individual European nightjars in Humberhead Peatlands NNR from 2015-2018","topic":["0/Animal behaviour/","0/Environmental survey/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Maskell","Astbury","Burden","Emmett","Garbutt","Goodwin","Henrys","Jarvis","Norton","Owen","Sharps","Smart","Williams","Wood","Wright"],"authorFullName":["Maskell, L.C.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Goodwin, A.","Henrys, P.A.","Jarvis, S.G.","Norton, L.R.","Owen, A.","Sharps, K.","Smart, S.M.","Williams, B.","Wood, C.M.","Wright, S.M."],"authorGivenName":["L.C.","S.","A.","B.A.","P.A.","S.G.","L.R.","K.","S.M.","B.","C.M."],"authorOrcid":["0000-0003-4006-7755","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-3265-1505","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of records of point landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as records of features such as trees, ponds and buildings with associated species and condition measures where applicable. Features were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained point features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). \n\nThe 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 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Astbury","Burden","Emmett","Garbutt","Goodwin","Henrys","Jarvis","Norton","Owen","Sharps","Smart","Williams","Wood","Wright"],"fullName":["Maskell, L.C.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Goodwin, A.","Henrys, P.A.","Jarvis, S.G.","Norton, L.R.","Owen, A.","Sharps, K.","Smart, S.M.","Williams, B.","Wood, C.M.","Wright, S.M.","Maskell, L."],"funder":["Natural Environment Research Council"],"givenName":["L.C.","S.","A.","B.A.","P.A.","S.G.","L.R.","K.","S.M.","B.","C.M.","Lindsay"],"identifier":"9f8d9cc6-b552-4c8b-af09-e92743cdd3de","incomingCitationCount":0,"keyword":["Glastir Monitoring and Evaluation Programme (GMEP)","Biodiversity","Environmental survey","landscape component"],"keywordsOther":["landscape component"],"keywordsProject":["Glastir Monitoring and Evaluation Programme (GMEP)"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2013-2016 by professional surveyors. Data were recorded from up to 300 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the Centre for Ecology & Hydrology. Standardised methodologies were applied throughout.\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":"2026-09-15T09:58:39.000Z","orcid":["0000-0003-4006-7755","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-3265-1505","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f8d9cc6-b552-4c8b-af09-e92743cdd3de","10.5285/9f8d9cc6-b552-4c8b-af09-e92743cdd3de","doi:10.5285/9f8d9cc6-b552-4c8b-af09-e92743cdd3de"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set consists of records of point landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as records of features such as trees, ponds and buildings with associated species and condition measures…","state":"published","supplementalDescription":["Project website: Glastir Monitoring and Evaluation Programme (GMEP)","ERAMMP website","Countryside Survey website"],"supplementalName":["Glastir Monitoring and Evaluation Programme (GMEP) website","Environment & Rural Affairs Monitoring and Modelling Programme website","Countryside Survey website"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Landscape point feature data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["British Trust for Ornithology","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Siriwardena","Taylor","Norfolk","Jones","Alison","Astbury","Burden","Emmett","Garbutt","Henrys","Owen","Smart","Sharps","Williams","Wood"],"authorFullName":["Siriwardena, G.M.","Taylor, R.M.","Norfolk, D.","Jones, K.","Alison, J.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Owen, A.","Smart, S.M.","Sharps, K.","Williams, B.","Wood, C.M."],"authorGivenName":["G.M.","R.M.","D.","K.","J.","S.","A.","B.A.","P.A.","S.M.","B.","C.M."],"authorOrcid":["0000-0003-2010-1186","0000-0003-3365-3908","0000-0002-6787-6192","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0003-2750-7832","0000-0003-3265-1505","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set consists of bird species counts, recorded in 300 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  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Surveys were equally spaced through mid-March to mid-July. On each visit, the surveyor walked a route that passed within 50m of all parts of the survey square to which access had been secured, beginning at around 06:00 and taking up to five hours. Surveys were not conducted in conditions known to affect the detection of birds, i.e. strong winds and more than light rain. The survey route was started in different places on each visit, so that all areas were visited at least once before 08:00. All birds seen or heard were recorded on high-resolution field maps using standard BTO activity codes. Recording and standardizing route coverage (where surveyors actually walked) was important both between visits and to ensure comparable repeat coverage when squares are revisited.\n\nData were recorded on standard forms and field maps, which were collated in the British Trust for Ornithology (BTO) Wales office in Bangor and sent to the BTO head office for digital inputting, after being copied physically and electronically in Bangor.  Data were then digitized using ArcMap (versions up to v10.5).  The process included checking of uncertain counts, species codes and identifications, for which the digitizer checked the data with the surveyor if necessary, before making a judgement on likely record accuracy. Additional checks were intrinsic to subsequent data processing before being loaded into a final database at UKCEH.\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":"2026-07-24T20:34:20.000Z","orcid":["0000-0003-2010-1186","0000-0003-3365-3908","0000-0002-6787-6192","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0003-2750-7832","0000-0003-3265-1505","0000-0002-0394-2998"],"organisation":["British Trust for Ornithology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/31da0a94-62be-47b3-b76e-4bdef3037360","10.5285/31da0a94-62be-47b3-b76e-4bdef3037360","doi:10.5285/31da0a94-62be-47b3-b76e-4bdef3037360"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data set consists of bird species counts, recorded in 300 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  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Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2021.\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.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.\n","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme"],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"e742c94f-82a4-43e7-af14-36b131afe81b","incomingCitationCount":0,"keyword":["Environmental survey","Biodiversity","National Plant Monitoring Scheme","NPMS","UK-SCAPE ","plant community","habitat","vegetation","environmental monitoring"],"keywordsOther":["National Plant Monitoring Scheme","NPMS","UK-SCAPE ","plant community","habitat","vegetation","environmental monitoring"],"keywordsTheme":["Environmental survey","Biodiversity"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system (www.indicia.org.uk) through the NPMS website (www.npms.org.uk) or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-9.087 49.086, -9.087 60.322, 1.329 60.322, 1.329 49.086, -9.087 49.086))"],"metadataDate":"2026-07-25T14:50:39.000Z","organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2022-06-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e742c94f-82a4-43e7-af14-36b131afe81b","10.5285/e742c94f-82a4-43e7-af14-36b131afe81b","doi:10.5285/e742c94f-82a4-43e7-af14-36b131afe81b"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first seven years (2015-2021) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). 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