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Many of the plots are repeated from surveys…","state":"published","supplementalName":["Countryside Survey website"],"title":"Countryside Survey 1998 vegetation plot data","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Aberdeen","Southern Agricultural Research Institute, Ethiopia","The James Hutton Institute"],"authorFamilyName":["Smith","Hallett","Nayak","Boke","Habte","Yakob","Rivington","Phimister"],"authorFullName":["Smith, J.","Hallett, P.","Nayak, D.","Boke, S.","Habte, M.","Yakob, G.","Rivington, M.","Phimister, E."],"authorGivenName":["Jo","P.","D.","S.","M.","G.","E."],"authorOrcid":["https://orcid.org/0000-0001-6984-6766","https://orcid.org/0000-0001-7542-7832","https://orcid.org/0000-0002-6483-0113"],"authorRor":["https://ror.org/016476m91","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the biophysical measurements (mineral nitrogen, percent carbon, percent nitrogen, percent soil moisture, particle size analysis and aggregate stability) from soil collected from farmers' fields in the Halaba district, Southern Nations, Nationalities and Peoples' Region in Ethiopia, after the drought of 2015-2016. Eighteen farms from four kebeles (Asore, Lay Arisho, Konicha and 1st Choroko) were sampled. Soil cores were taken from fields classed as \"home\", \"near\" and \"far\" from the homestead and were taken from two depths (0-20cm and 20-50cm). Soil cores were taken after the El Niño event of 2015/16, so reflect the resilience of different areas of the farm to drought. This dataset was collected as part of the NERC-funded project Building Resilience in Ethiopia's Awassa region to Drought (BREAD).","documentType":"GEMINI_DOCUMENT","familyName":["Smith","Hallett","Nayak","Boke","Habte","Yakob","Rivington","Phimister"],"fullName":["Smith, J.","Hallett, P.","Nayak, D.","Boke, S.","Habte, M.","Yakob, G.","Rivington, M.","Phimister, E."],"funder":["Natural Environment Research Council"],"givenName":["Jo","P.","D.","S.","M.","G.","E."],"grant":["NE/P004830/1"],"identifier":"024c5a61-5114-41a6-93b8-e3fb4d24622b","incomingCitationCount":2,"keyword":["NE/P004830/1","BREAD","Soil water","fertility zones within the household"],"keywordsProject":["NE/P004830/1","BREAD"],"keywordsTheme":["Soil water","fertility zones within the household"],"licence":"Open government licence","lineage":"The biophysical measurements were collected from farmers' fields in Halaba District near Hawassa (SNPPR, Ethiopia), after the drought of 2015-2016. Combined with the data provided by the ALTER project (deposited on the EIDC), this provides measurements of soil carbon (C), nitrogen (N) and water characteristics before and after the drought.\n\nSoil cores were collected from fields classed as \"home\", \"near\" and \"far\" from the homestead. This corresponds to fields at increasing distance from the household, but does not equate to a set distance; it is more a reflection of the typical land uses in the fields.\n\nMeasurements are provided at the surface (0-20cm) and below the plough layer (20-50cm). Measurements were collected from fields belonging to farmers with different wealth status (poor medium and rich) in four kebeles (parishes); Eighteen farms were sampled in each kebele.\n\nPercent N and percent C in the soil were measured by CNS elemental analyser, Soil pH was measured using a pH meter, 1:5 in CaCl2.\n\nMineral N measurements include nitrate, nitrite and ammonium in μmol per g soil. Nitrate and nitrite were determined by measuring absorbance over a period of 5 hours at a wavelength of 540nm. Ammonium was determined using the indophenol method by measuring absorbance for 30 minutes using a 620 nm wavelength.\n\nSoil moisture measurements include the soil moisture content when sampled and at -10 kPa (% by weight). It was not possible to obtain intact cores from Ethiopia or to conduct analysis in country due to equipment availability. Therefore, disturbed soil was repacked into collars and soils were saturated for 48 hours (some were hydrophobic) and then dried to -10 kPa matric potential using a tension table. This potential was selected to represent field capacity due to the sandy nature of this soil.\n\nParticle size and aggregate stability were measured for Asore and Lay Arisho only. The percent silt, sand and clay were determined by Laser-diffraction analysis (LDA). Aggregate stability was determined following the wet-sieving method. Bulk density measurements were not taken. However, pedotransfer functions have been derived from the ALTER measurements that allow bulk density to be determined from soil texture and C content.","locations":["POLYGON((33.047 2.108, 33.047 15.708, 48.604 15.708, 48.604 2.108, 33.047 2.108))"],"metadataDate":"2026-06-27T18:45:15.000Z","orcid":["https://orcid.org/0000-0001-6984-6766","https://orcid.org/0000-0001-7542-7832","https://orcid.org/0000-0002-6483-0113"],"organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","University of Aberdeen","Southern Agricultural Research Institute, Ethiopia","The James Hutton Institute"],"publicationDate":"2019-04-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/024c5a61-5114-41a6-93b8-e3fb4d24622b","10.5285/024c5a61-5114-41a6-93b8-e3fb4d24622b","doi:10.5285/024c5a61-5114-41a6-93b8-e3fb4d24622b"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/016476m91","https://ror.org/03rzp5127"],"shortenedDescription":"This dataset contains the biophysical measurements (mineral nitrogen, percent carbon, percent nitrogen, percent soil moisture, particle size analysis and aggregate stability) from soil collected from farmers' fields in the Halaba district, Southern Nations, Nationalities…","state":"published","supplementalDescription":["a related socio-economic survey data which is deposited under the IPORE project on the ESRC repository (UK Data Archive. 10.5255/UKDA-SN-853076.)"],"supplementalName":["Organic resource use in rural households in Ethiopia"],"title":"Biophysical measurements from Ethiopia's Awassa region during the drought and subsequent floods of 2015-2016","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)"],"authorFamilyName":["Zelazowski","Huntingford","Mercado","Schaller"],"authorFullName":["Zelazowski, P.","Huntingford, C.","Mercado, L.M.","Schaller, N."],"authorGivenName":["P.","C.","L.M.","N."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770"],"authorRor":["https://ror.org/039bjqg32","https://ror.org/00pggkr55","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII"],"description":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). \n\nThe 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1.\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble.  ","documentType":"GEMINI_DOCUMENT","familyName":["Huntingford","Zelazowski","Mercado","Schaller"],"fullName":["Huntingford, C.","Zelazowski, P.","Mercado, L.M.","Schaller, N."],"givenName":["Chris","P.","C.","L.M.","N."],"identifier":"4e8f3459-4101-4c85-a598-80b3c739f580","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change","Global Circulation Model (GCM)","Global climate-carbon cycle model","Future climate projections","Energy Balance Model (EBM)","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)"],"keywordsOther":["Global Circulation Model (GCM)","Global climate-carbon cycle model","Future climate projections","Energy Balance Model (EBM)","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land.\n\nThis calibration is a \"beta\" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a \"beta\" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building. \n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:24:17.000Z","orcid":["https://orcid.org/0000-0002-5941-7770"],"organisation":["UK Centre for Ecology & Hydrology","University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-10-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580","10.5285/4e8f3459-4101-4c85-a598-80b3c739f580","doi:10.5285/4e8f3459-4101-4c85-a598-80b3c739f580"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/039bjqg32","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological…","state":"published","title":"GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving  the IMOGEN impacts model","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Reading"],"authorFamilyName":["Fry"],"authorFullName":["Fry, R.J."],"authorGivenName":["R.J."],"authorOrcid":["https://orcid.org/0000-0002-9711-1131"],"authorRor":["https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Repeat electrical resistivity tomography (ERT) measurements were conducted over four sites to capture the changing resistivity of the soil throughout the agricultural growing season, with measurements taken in Spring, Summer, and Autumn to detect the change between the construction, production, and post-harvest stages of the crop. Initial measurements were undertaken in April/May, Summer measurements in June/July, and final measurements in September 2021. ","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fullName":["Fry, R.J."],"funder":["Natural Environment Research Council"],"givenName":["R.J."],"grant":["NE/R004668/1"],"identifier":"7d09c677-134f-49ae-8128-6bc00784967a","incomingCitationCount":0,"keyword":["ERT","LANDWISE","Soil","Agriculture","Land use"],"keywordsInstrument":["ERT"],"keywordsProject":["LANDWISE"],"keywordsTheme":["Soil","Agriculture","Land use"],"licence":"Open government licence","lineage":"For each detailed survey location, a single 19m ERT transect was positioned with 96 electrodes spaced at 20cm intervals using a Campus Tigre system. The surveys were collected using a Wenner Array to collect data through the subsurface at sufficient vertical and horizontal resolutions. Each traverse collected approx. 660 apparent resistivity readings of the subsurface down to around 1m bgl. Data was collected in the field using ImagerPro2006.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T20:04:03.000Z","orcid":["https://orcid.org/0000-0002-9711-1131"],"organisation":["University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7d09c677-134f-49ae-8128-6bc00784967a","10.5285/7d09c677-134f-49ae-8128-6bc00784967a","doi:10.5285/7d09c677-134f-49ae-8128-6bc00784967a"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"Repeat electrical resistivity tomography (ERT) measurements were conducted over four sites to capture the changing resistivity of the soil throughout the agricultural growing season, with measurements taken in Spring, Summer, and Autumn to detect the change between…","state":"published","title":"Electrical Resistivity Tomography (ERT) measurements over UK farmlands, April-September 2021","topic":["0/Soil/","0/Agriculture/","0/Land use/"],"version":1.0,"view":["public","rafbar"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"authorFullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"authorGivenName":["K.B.","J.A.","K.","S.","E.F.","B."],"authorOrcid":["https://orcid.org/0000-0002-5027-0207","https://orcid.org/0000-0001-7183-4115","https://orcid.org/0000-0002-2689-946X","https://orcid.org/0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about local population densities of great tits, blue tits, marsh tits and nuthatches from a manipulation experiment. The time, location and bird species were recorded using a Passive Integrated Transponder (PIT) tag attached to each bird and the information recorded using a Radio Frequency Identification (RFID) antenna within the feeder. Population density was manipulated by programming automated feeders to only open for a specific set of individuals (creating low- and high-density treatments). Local population densities were recorded using automated bird feeders at six experimental and two control sites prior to and during the manipulation. The experiment took place in Wytham Woods, Oxfordshire, UK between January and March 2021, as part of a study on the effects of ecological factors on social structure and information transmission. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1, The ecology of behavioural contagion in natural systems.)","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","incomingCitationCount":0,"keyword":["Animal behaviour","ornithology","population density"],"keywordsOther":["ornithology","population density"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Automated bird feeders were used to collect the described data. Each of the feeders had one access hole with a clear flap and an inbuilt Radio Frequency Identification (RFID) antenna within the perch. All birds equipped with a Passive Integrated Transponder (PIT) tag that landed on the perch got recorded, and the time and date of visits stored on a Secure Digital (SD) card. The flap can be programmed to open only for specified PIT tagged individuals. This allowed us to manipulate local densities by specifically restricting access to each feeder. Feeders were visited every two to three days, to refill food, check feeder performance and collect data. For the final dataset, erroneous recordings (e.g. entries with a wrong date or tag number) were removed. Data are provided as comma separated value files for deposit into the EIDC.   ","locations":["POLYGON((-1.349 51.759, -1.349 51.785, -1.317 51.785, -1.317 51.759, -1.349 51.759))"],"metadataDate":"2026-06-29T17:02:42.000Z","orcid":["https://orcid.org/0000-0002-5027-0207","https://orcid.org/0000-0001-7183-4115","https://orcid.org/0000-0002-2689-946X","https://orcid.org/0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","10.5285/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323","doi:10.5285/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about local population densities of great tits, blue tits, marsh tits and nuthatches from a manipulation experiment. The time, location and bird species were recorded using a Passive Integrated Transponder (PIT) tag attached to each…","state":"published","title":"Local population density of woodland birds from a manipulation experiment in Wytham Woods, Oxfordshire, UK 2021","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham"],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"authorGivenName":["P.","Andrew","D.","G."],"authorOrcid":["https://orcid.org/0000-0002-3707-1182"],"authorRor":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. DSMs were generated as part of NERC project NE/L00738X/1. DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates.","documentType":"GEMINI_DOCUMENT","familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["P.","Andrew","D.","G."],"grant":["NE/L00738X/1"],"identifier":"13695138-227f-4d85-9049-0a9cba9e1867","incomingCitationCount":1,"keyword":["Canada ","Saskatchewan River","Modelling","digital land model","Digital Surface Models"],"keywordsOther":["digital land model","Digital Surface Models"],"keywordsPlace":["Canada ","Saskatchewan River"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"DSMs were constructed to provide information on the morphology or the river, and changes in morphology through time (e.g. due to erosion and deposition of sediment). DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates. \n\nThe DSM was constructed from photogrammetric quality aerial plane images with a 0.06m ground resolution that were captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. The DSM was constructed from the images using a three stage process:\n\n(1) An orthomosaic was generated from the aerial photography (using up to 160 images) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the 'large frame' supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. A point cloud was then derived following the bundle adjustment.\n\n(2) The point cloud was checked for residual tilt using a network of Ground Control Points with coordinates that were determined by RTK differential GPS survey. The corrected point cloud density was reduced to a resolution of 0.5 m and the resulting dataset was filtered in MATLAB using a Chauvenet-type criterion. This procedure was implemented to derive the DSM in dry (non-submerged) areas of the river.\n\n(3) In wet (submerged) areas, bed elevations were derived using a depth-brightness model as follows. First, water surface elevations at the interface between wet and dry areas of the river bed were extracted from the corrected point cloud and interpolated to generate a water surface elevation field for the submerged bed areas. Second, water depth measurements made at the time of image acquisition were located on the orthomosaic of the river, and pixel brightness values were extracted at these locations. A log-linear regression between water depth and pixel brightness was then derived, and this relationship was used to model water depth for all sub-merged bed areas. Bed elevations in these areas were determined by subtracting the predicted depth from the water surface elevation. The final DSM was derived by combining elevation values for the dry and wet bed areas.\n","locations":["POLYGON((-107 51.5, -107 51.6, -107.1 51.6, -107.1 51.5, -107 51.5))"],"metadataDate":"2026-06-29T18:09:41.000Z","orcid":["https://orcid.org/0000-0002-3707-1182"],"organisation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/13695138-227f-4d85-9049-0a9cba9e1867","10.5285/13695138-227f-4d85-9049-0a9cba9e1867","doi:10.5285/13695138-227f-4d85-9049-0a9cba9e1867"],"resourceType":"Dataset","ror":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing…","state":"published","title":"Digital Surface Models for the South Saskatchewan River, Canada","topic":["0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Kenya Medical Research Institute","International Livestock Research Institute (Kenya)"],"authorFamilyName":["Sang","Lutomiah","Lindahl","Grace","Bett"],"authorFullName":["Sang, R.","Lutomiah, J.","Lindahl, J.F.","Grace, D.","Bett, B."],"authorGivenName":["R.","J.","J.F.","D.","B."],"authorOrcid":["https://orcid.org/0000-0002-1039-7588","https://orcid.org/0000-0002-8507-2024","https://orcid.org/0000-0002-1175-0398","https://orcid.org/0000-0002-0195-9489","https://orcid.org/0000-0001-9376-2941"],"authorRor":["https://ror.org/04r1cxt79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data comprise apparent densities, species and sex and of mosquitos collected in irrigated and non-irrigated areas in Bura, Tana River County Kenya, between September 2013 and November 2014. Sampling was repeated four times over the period to cover the wet season, dry season, irrigation season and fallow periods.\n\nMosquitoes were trapped using carbon dioxide-baited (CDC) light traps. Mosquitoes harvested from each of these traps were immobilized using 99.5% triethyleamine (Sigma-Aldrich, St. Louis, Missouri) and transferred to distinct bar-coded centrifuge tubes or cryogenic vials. The samples were transported in liquid nitrogen to the entomology section of Arbovirus/Viral haemorrhagic fever (VHF) laboratory at the Kenya Medical Research Institute (KEMRI) where they were sorted by species, sex, village, collection date and counted.\n\nThe study was implemented to assess the impact of land use change (specifically the conversion of pastoral rangeland into crop land) on the suitability of the habitats to mosquito development and colonization. It also aimed to identify relative abundance of mosquitoes associated with Rift Valley fever virus transmission.\n\nThe data were collected and analysed by experienced researchers from the International Centre of Insect Physiology and Ecology (Kenya), the International Livestock Research Institute (Kenya) and the Kenya Medical Research Institute.\n\nThis dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project no NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the Consultative Group on International Agricultural Research (CGIAR) Program Agriculture for Nutrition and Health.","documentType":"GEMINI_DOCUMENT","familyName":["Bett","Sang","Lutomiah","Lindahl","Grace"],"fullName":["Bett, B.","Sang, R.","Lutomiah, J.","Lindahl, J.F.","Grace, D."],"givenName":["Bernard","R.","J.","J.F.","D.","B."],"identifier":"813f99c4-d07a-42dc-993a-1c35df9f028e","incomingCitationCount":1,"keyword":["carbon dioxide-baited (CDC) light traps","Kenya","Bura","Tana River County","Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)","land use change","Mosquito abundance","Mosquito","irrigation","land use"],"keywordsInstrument":["carbon dioxide-baited (CDC) light traps"],"keywordsOther":["land use change","Mosquito abundance","Mosquito","irrigation","land use"],"keywordsPlace":["Kenya","Bura","Tana River County"],"keywordsProject":["Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)"],"licence":"Open government licence","lineage":"During each visit, mosquitoes were trapped using carbon dioxide-baited (CDC) light traps that were set between 6PM and 6AM for three consecutive days in defined sampling sites (farms and human settlements). All the 10 villages in the Bura irrigation scheme and an additional site outside the scheme (Murukani) were sampled during all these visits. A total of 10 traps were used per village. Each trap was allocated a unique number and mosquitoes harvested from each of these traps were immobilized using 99.5% triethyleamine (Sigma-Aldrich, St. Louis, Missouri) and transferred to distinct bar-coded centrifuge tubes or cryogenic vials. The samples were transported in liquid nitrogen to the entomology section of the VHF laboratory at KEMRI where they were sorted by species, sex, village, collection date and counted. Identified mosquitoes were pooled in sizes of up to 25 per pool and kept in liquid nitrogen for future analyses. Data on mosquito counts per trap-night were entered into a database designed using Microsoft Excel. These data were then converted into a csv file for ingestion purposes.\n\nThe data are in their original formats as no transformations or editing has been done. Mosquito speciation and data analysis was supervised by an internationally recognised entomologist for quality assurance. ","locations":["POLYGON((39.78 -1.27, 39.78 -1.04, 40.05 -1.04, 40.05 -1.27, 39.78 -1.27))"],"metadataDate":"2026-06-29T17:22:56.000Z","orcid":["https://orcid.org/0000-0002-1039-7588","https://orcid.org/0000-0002-8507-2024","https://orcid.org/0000-0002-1175-0398","https://orcid.org/0000-0002-0195-9489","https://orcid.org/0000-0001-9376-2941"],"organisation":["International Livestock Research Institute (Kenya)","Kenya Medical Research Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-03-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/813f99c4-d07a-42dc-993a-1c35df9f028e","10.5285/813f99c4-d07a-42dc-993a-1c35df9f028e","doi:10.5285/813f99c4-d07a-42dc-993a-1c35df9f028e"],"resourceType":"Dataset","ror":["https://ror.org/04r1cxt79","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise apparent densities, species and sex and of mosquitos collected in irrigated and non-irrigated areas in Bura, Tana River County Kenya, between September 2013 and November 2014. Sampling was repeated four times over the period to cover the wet season,…","state":"published","title":"Seasonal changes in mosquito population densities in irrigated and non-irrigated areas in Bura, Tana River County, Kenya (2013-2014)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["van Soest","Norris","Lebron","Tandy","Radbourne","Fitos","Brooks","Keenan","Pereira","Pinder","Callaghan","Cooper","Cosby"],"authorFullName":["van Soest, M.A.J.","Norris, D.A.","Lebron, I.","Tandy, S.","Radbourne, A.D.","Fitos, E.","Brooks, M.R.","Keenan, P.O.","Pereira, M.G.","Pinder, A.P.","Callaghan, N.C.","Cooper, D.M.","Cosby, B.J."],"authorGivenName":["M.A.J.","D.A.","I.","S.","A.D.","E.","M.R.","P.O.","M.G.","A.P.","N.C.","D.M.","B.J."],"authorOrcid":["https://orcid.org/0000-0002-4656-515X","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-9494-6272","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0001-5645-3373"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2019 to March 2023. Sampling was carried out every four weeks, apart from a period of five months when access was restricted due to the Covid pandemic. Stream samples were taken using a grab technique and filtered in the field. Rain samples were collected using bulk precipitation collectors. Data are presented for major anions and cations, pH, conductivity, alkalinity and in-situ measurements for the water temperature and stream flow for the six stream locations and air temperature and volume for the rainfall sites.","documentType":"GEMINI_DOCUMENT","familyName":["van Soest","Norris","Lebron","Tandy","Radbourne","Fitos","Brooks","Keenan","Pereira","Pinder","Callaghan","Cooper","Cosby"],"fullName":["van Soest, M.A.J.","Norris, D.A.","Lebron, I.","Tandy, S.","Radbourne, A.D.","Fitos, E.","Brooks, M.R.","Keenan, P.O.","Pereira, M.G.","Pinder, A.P.","Callaghan, N.C.","Cooper, D.M.","Cosby, B.J."],"funder":["Natural Environment Research Council"],"givenName":["M.A.J.","D.A.","I.","S.","A.D.","E.","M.R.","P.O.","M.G.","A.P.","N.C.","D.M.","B.J."],"grant":["NE/R016429/1"],"identifier":"cfac5ef3-ad12-4f88-acd8-509e0795d5ed","incomingCitationCount":0,"keyword":["Plynlimon","Hydrology","water chemistry"],"keywordsOther":["water chemistry"],"keywordsPlace":["Plynlimon"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"These data presented follow on from the hydrochemical data sets presented in the data series Plynlimon Hydrochemistry data. The Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968.\nFieldwork was carried out by UKCEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified UKCEH chemists at laboratories at UKCEH Lancaster and UKCEH Bangor. Data was being checked and added to an Access database before being extracted to csv and uploaded to EIDC.\n","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-06-30T16:28:00.000Z","orcid":["https://orcid.org/0000-0002-4656-515X","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-9494-6272","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0001-5645-3373"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfac5ef3-ad12-4f88-acd8-509e0795d5ed","10.5285/cfac5ef3-ad12-4f88-acd8-509e0795d5ed","doi:10.5285/cfac5ef3-ad12-4f88-acd8-509e0795d5ed"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2019 to March 2023. Sampling was carried out every four weeks, apart from a period of five months when access was restricted…","state":"published","supplementalDescription":["Plynlimon webpage"],"title":"Plynlimon research catchment hydrochemistry (2019-2023)","topic":["0/Hydrology/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S."],"authorGivenName":["Heidrun","B.A.","H.","A.G.","K.","G.","S."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2. All data are from January 2023 until the end of 2023. ","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S."],"funder":["Natural Environment Research Council"],"givenName":["Heidrun","B.A.","H.","A.G.","K.","G.","S."],"grant":["NE/R016429/1 ","NE/Y006208/1"],"identifier":"6ff45fc1-e3ef-4ca9-baf0-e55c07169caf","incomingCitationCount":0,"keyword":["Lake District","NC-UK","Climate and climate change","Environmental survey","Water quality","algae","dissolved oxygen","Lake monitoring","lake water chemistry","lake water temperature","phytoplankton","Secchi depth"],"keywordsOther":["algae","dissolved oxygen","Lake monitoring","lake water chemistry","lake water temperature","phytoplankton","Secchi depth"],"keywordsPlace":["Lake District"],"keywordsProject":["NC-UK"],"keywordsTheme":["Climate and climate change","Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortage.\n\n","locations":["POLYGON((-2.984 54.394, -2.984 54.398, -2.972 54.398, -2.972 54.394, -2.984 54.394))"],"metadataDate":"2026-06-29T16:18:30.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6ff45fc1-e3ef-4ca9-baf0-e55c07169caf","10.5285/6ff45fc1-e3ef-4ca9-baf0-e55c07169caf","doi:10.5285/6ff45fc1-e3ef-4ca9-baf0-e55c07169caf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, UK, 2023","topic":["0/Climate and climate change/","0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of York","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Facey","Dean","Botham","Staley"],"authorFullName":["Facey, S.L.","Dean, H.J.","Botham, M.S.","Staley, J.T."],"authorGivenName":["S.L.","H.J.","M.S.","J.T."],"authorOrcid":["https://orcid.org/0000-0003-0307-0728","https://orcid.org/0000-0002-9602-7202","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6467-3712"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains moth species, parasitoid and resource provisioning data from a hedgerow experiment investigating the long-term effects of timing and frequency of cutting on resource provision for wildlife. The experiment site was based at at Monks Wood, Cambridgeshire, UK. Moth larvae were collected in May to September 2011 and reared in a laboratory. Moth larvae or adult moths, and any emerging parasitoids, were identified to species level where possible. Data on hedge plot dimensions and branching density and length were measured in the field at the same time as moth larvae sampling. Leaf samples were also collected and used to calculate biomass and determine foliar total carbon and nitrogen content.\n\nThe hedgerow experiment was one of three long running hedgerow experiments focusing on management to maintain and restore the hedgerow resource under agri-environment schemes. These long running experiments were funded by Defra and managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Facey","Dean","Botham","Staley"],"fullName":["Facey, S.L.","Dean, H.J.","Botham, M.S.","Staley, J.T.","Staley, J."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["S.L.","H.J.","M.S.","J.T.","Joanna"],"grant":["BD2114"],"identifier":"7c2bf22d-2ff6-4d06-b4c1-b74ed4b45fc1","incomingCitationCount":0,"keyword":["Environmental survey","total nitrogen","total carbon","moth","parasitoid","growing tips","thorn tips","biomass","lepidopteran","carbon","nitrogen","hedge","ecosystem management"],"keywordsOther":["total nitrogen","total carbon","moth","parasitoid","growing tips","thorn tips","biomass","lepidopteran","carbon","nitrogen","hedge","ecosystem management"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data were digitised into Excel after field or laboratory collection and then imported into an Oracle database that contained all the data from the long running hedgerow experiments. The data provided here have been exported from the Oracle database. The following measures were taken to ensure quality and accuracy: a standard protocol was used, species data were collected by experienced and appropriately qualified field surveyors, species identifications were checked by an expert, and data were checked for anomalous values both prior to and post import into the Oracle database. A thorough check was also undertaken after upload of data to the Oracle database to check for and input missing values.","locations":["POLYGON((-0.253 52.396, -0.253 52.408, -0.227 52.408, -0.227 52.396, -0.253 52.396))"],"metadataDate":"2026-06-29T17:24:54.000Z","orcid":["https://orcid.org/0000-0003-0307-0728","https://orcid.org/0000-0002-9602-7202","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6467-3712"],"organisation":["University of York","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c2bf22d-2ff6-4d06-b4c1-b74ed4b45fc1","10.5285/7c2bf22d-2ff6-4d06-b4c1-b74ed4b45fc1","doi:10.5285/7c2bf22d-2ff6-4d06-b4c1-b74ed4b45fc1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains moth species, parasitoid and resource provisioning data from a hedgerow experiment investigating the long-term effects of timing and frequency of cutting on resource provision for wildlife. The experiment site was based at at Monks Wood, Cambridgeshire,…","state":"published","supplementalDescription":["Facey SL, Botham MS, Heard MS, Pywell RF, Staley JT (2014) Moth communities and agri-environment schemes: Examining the effects of hedgerow cutting regime on diversity, abundance, and parasitism. Insect Conservation and Diversity, 7: 543-552."],"title":"Moth community and parasitoid data from a hedgerow cutting regime experiment in Cambridgeshire, England, 2011","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Levy"],"authorFullName":["Levy, P.E."],"authorGivenName":["P.E."],"authorOrcid":["https://orcid.org/0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2 km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. \n\nThe model was calibrated on a network of cosmic-ray neutron sensors (COSMOS-UK) and remotely-sensed soil moisture data. A key parameter was estimated from the national-scale spatial pattern in the catchment response to rainfall seen in the National River Flow Archive (NRFA) data. Precipitation and humidity data to drive the model came from the Met Office High Resolution Numerical Weather Prediction model (NWP-UKV) which incorporates the C-band rainfall radar network. The maps have a variety of uses in hydrology and elsewhere, for example as inputs to ecosystem models of greenhouse gas exchange, where soil moisture affects numerous processes. The modelling was carried out as part of UK-SCAPE Virtual Survey Lab, and the NERC project \"Detection and Attribution of Regional Emissions (DARE-UK)\". There are some gaps in the time series of meteorological and remote sensing inputs, and data are unavailable for these days. The NRFA data are only available for Great Britain, so estimates in Ireland and continental Europe will be less accurate.","documentType":"GEMINI_DOCUMENT","familyName":["Levy"],"fullName":["Levy, P.E."],"funder":["Natural Environment Research Council"],"givenName":["P.E."],"grant":["NE/R016429/1","NE/S003614/2"],"identifier":"5aa8c5b4-4485-4954-b5c3-18d937a418f7","incomingCitationCount":0,"keyword":["UK","NRFA","SCAT-SAR","ASCAT","Soil","Hydrology","Mapping","soil water retention curves","rainfall","hydrological modelling","soil moisture","soil water","modelling","soil","hydrology","atmospheric precipitation","catchment","mapping","remote sensing"],"keywordsOther":["soil water retention curves","rainfall","hydrological modelling","soil moisture","soil water","modelling","soil","hydrology","atmospheric precipitation","catchment","mapping","remote sensing"],"keywordsPlace":["UK"],"keywordsProject":["NRFA","SCAT-SAR","ASCAT"],"keywordsTheme":["Soil","Hydrology","Mapping"],"licence":"Open government licence","lineage":"We developed a statistical model of soil moisture, calibrated on a network of cosmic-ray neutron sensors in the UK. We found that applying an exponentially-weighted moving-average filter effectively linearised the effect of precipitation, so we could form a simple linear model. With this, we integrated remotely-sensed soil moisture data. To extrapolate across the whole country, we inferred information on the soil water retention properties from daily water balance data from approximately 1200 catchments with wide coverage. \n\nWe used a Bayesian approach to allow the uncertainty from the calibration at 40 sites to be propagated through the extrapolation on a grid covering the whole UK. The Met Office High Resolution Numerical Weather Prediction model (NWP-UKV), which incorporates the C-band rainfall radar network, provides very detailed data on the variation in precipitation which arises from the sporadic nature of rainfall events and interactions with orography in near-real time, to predict small-scale, short-term variation in soil moisture.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:46:18.000Z","orcid":["https://orcid.org/0000-0002-8505-1901"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5aa8c5b4-4485-4954-b5c3-18d937a418f7","10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7","doi:10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2 km resolution in the Ordnance…","state":"published","title":"Daily soil moisture maps for the UK (2016-2023) at 2 km resolution","topic":["0/Soil/","0/Hydrology/","0/Mapping/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of Liverpool","Museo Nacional de Ciencias Naturales, Madrid","University of Cambridge","Institute of Zoology"],"authorFamilyName":["Fenton","Daversa","Bosch","Serrano","Manica","Garner"],"authorFullName":["Fenton, A.","Daversa, D.R.","Bosch, J.","Serrano, C.","Manica, A.","Garner, T.W.J."],"authorGivenName":["Andy","D. R.","J. ","C.","A.","T. W. J."],"authorOrcid":["https://orcid.org/0000-0002-7676-917X","https://orcid.org/0000-0002-8984-8897","https://orcid.org/0000-0002-0099-7934","https://orcid.org/0000-0003-1895-450X","https://orcid.org/0000-0002-0336-9706"],"authorRor":["https://ror.org/04xs57h96","https://ror.org/02v6zg374","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data were generated from a mesocosm experiment  to determine the extent to which non-reservoir hosts impact the maintenance and transmission of infections from parasites supported by reservoir hosts.  The three host species were salamanders, Tree frogs (Hyla meridiensis) and Spiny toads (Bufo spinosus). The infection used was Batrachochytrium dendrobatidis (Bd).\n\nThe experiment was executed in the late summer of 2017, at the Centre for Captive Breeding of Threatened Amphibians, located in Rascafria, Spain. ","documentType":"GEMINI_DOCUMENT","familyName":["Fenton","Daversa","Bosch","Serrano","Manica","Garner"],"fullName":["Fenton, A.","Daversa, D.R.","Bosch, J.","Serrano, C.","Manica, A.","Garner, T.W.J."],"funder":["Natural Environment Research Council"],"givenName":["Andy","D. R.","J. ","C.","A.","T. W. J."],"identifier":"093d6938-39f5-414d-b638-7d18e6dc52d3","incomingCitationCount":0,"keyword":["Environmental survey","Hyla meridiensis","Bufo spinosus","salamander","Batrachochytrium dendrobatidis"],"keywordsOther":["Hyla meridiensis","Bufo spinosus","salamander","Batrachochytrium dendrobatidis"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The experiment quantified Batrachochytrium dendrobatidis (Bd) infection dynamics in experimental host communities that varied in relative abundances of three host species that co-occur in the park: salamanders, Tree frogs (Hyla meridiensis), and Spiny toads (Bufo spinosus). There were five treatments total: \n\n(i) control - 24 salamanders only;\n(ii) 2 species with toads - 12 salamanders and 12 toads;\n(iii) 2 species with frogs - 12 salamanders and 12 frogs;\n(iv) 3 species non-random - 12 salamanders, 6 toads, and 6 frogs; \n(v) 3 species random - relative abundances of salamanders, toads, and frogs chosen at random.","metadataDate":"2026-06-27T18:33:47.000Z","orcid":["https://orcid.org/0000-0002-7676-917X","https://orcid.org/0000-0002-8984-8897","https://orcid.org/0000-0002-0099-7934","https://orcid.org/0000-0003-1895-450X","https://orcid.org/0000-0002-0336-9706"],"organisation":["University of Liverpool","Museo Nacional de Ciencias Naturales, Madrid","University of Cambridge","Institute of Zoology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/093d6938-39f5-414d-b638-7d18e6dc52d3","10.5285/093d6938-39f5-414d-b638-7d18e6dc52d3","doi:10.5285/093d6938-39f5-414d-b638-7d18e6dc52d3"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Liverpool","Institute of Zoology"],"ror":["https://ror.org/04xs57h96","https://ror.org/02v6zg374","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"Data were generated from a mesocosm experiment  to determine the extent to which non-reservoir hosts impact the maintenance and transmission of infections from parasites supported by reservoir hosts.  The three host species were salamanders, Tree frogs (Hyla meridiensis)…","state":"published","title":"Chytrid fungus infection data in multi-host mesocosm communities","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Chaplow","Beresford","Barnett"],"authorFullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"authorGivenName":["J.S.","Nick A.","C.L."],"authorOrcid":["https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology (ITE). National level vegetation surveys were conducted in May 1986, October 1986 and Spring 1987. More intensive surveys of vegetation (grass and heather) and wildlife (grouse, fox, etc.) in restricted areas were carried out in Cumbria, Wales and North Yorkshire in 1989, 1990, 1991 and 1993. Surveys of fungi were carried out between 1994 and 1997. The data are suitable for interpolation to create spatially variable surfaces suitable for input into models.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Chaplow","Barnett"],"fullName":["Beresford, N.A.","Chaplow, J.S.","Barnett, C.L."],"givenName":["Nick A.","J.S.","C.L."],"identifier":"d0a6a8bf-68f0-4935-8b43-4e597c3bf251","incomingCitationCount":3,"keyword":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone","Pollution","Radioecology","radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsOther":["radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsPlace":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Open government licence","lineage":"Vegetation was clipped from 1 metre squared quadrats to a height of 1 centimetre above ground level. Samples were dried at 80 degrees centigrade, weighed, ground and counted in plastic containers (130 millilitre) on a NaI(T1) detector to determine the radiocaesium activity. The most active samples were recounted on a high resolution germanium detector. Soil type was noted at each site (Soil survey 1983). Soil samples were allocated to a series of textural categories (Clay (particles of less than 2 m in diameter); Silt (particles of 2-40 micron diameter); Sand (particles of 50 micron -2millimetre diameter); Organic (humified plant material); Loam (significant quantities of material from 3 or more categories). Soil pH was determined using an antimony electrode pH meter. Animal samples consisted of necks and rumen contents from 70 red deer (Cervus elaphus), whole bodies of three species of lagomorphs (25 rabbits (Oryctolagus cuniculus) and 2 black hares (Lepus capensis), two species of grouse (13 red grouse (Lagopus lagopus), 4 black game (Tetrao tetrix), and 22 foxes (Vulpes vulpes) totalling 141 flesh and 94 gut samples. Samples of flesh were removed from the neck of the deer, from the legs and back of the hares, rabbits and foxes, and from the breast muscle of the grouse. These were weighed fresh and placed in standard counting containers which were kept in a deep freeze until required for analysis. Each sample was thawed for 24 hours prior to counting. Samples were analysed by high resolution gamma spectrometry using either hyperpure germanium or germanium lithium detectors with relative efficiencies of 20 to 25 percent. Counting times varied between 25k to 80k seconds. Detectors were calibrated. The column headings for Easting, Northing and Sampling_date' in dataset 4 are labelled incorrectly. The correct order should be column C Sampling_date, column D Easting, column E Northing.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:41:20.000Z","orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1409748590053","CEH:EIDC::1409748590053","https://catalogue.ceh.ac.uk/id/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","doi:10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology…","state":"published","supplementalDescription":["Howard, B. J., Beresford, N. A., Burrow, L., Shaw, P. V., & Curtis, E. J. C. (1987). A comparison of caesium 137 and 134 activity in sheep remaining on upland areas contaminated by Chernobyl fallout with those removed to less active lowland pasture. Journal of the Society for Radiological Protection, 7(2), 71-73.","Horrill, A.D.; Howard, D.M. (1991).  Chernobyl fallout in three areas of upland pasture in West Cumbria. Journal of Radiological Protection, 11 (4). 249-257. ","Howard, B. J., & Beresford, N. A. (1989). Chernobyl radiocaesium in an upland sheep farm ecosystem. British Veterinary Journal, 145(3), 212-219. ","Dighton, J., & Horrill, A. D. (1988). Radiocaesium accumulation in the mycorrhizal fungi Lactarius rufus and Inocybe longicystis, in upland Britain, following the Chernobyl accident. Transactions of the British Mycological Society, 91(2), 335-337. ","Horrill, A.D.; Lowe, V.W.; Howson, G.. 1988 Chernobyl fallout in Great Britain. Final report. NERC/Institute of Terrestrial Ecology, 55pp. (T07006e1) (Unpublished)","Beresford, N. A., Howard, B. J., Barnett, C. L., & Crout, N. M. J. (1992). The uptake by vegetation of chernobyl and aged radiocaesium in upland West Cumbria. Journal of Environmental Radioactivity, 16(2), 181-195. ","Howard B. J.; Beresford, N. A.; Hove, K. (1991).  Transfer of Radiocaesium to Ruminants in Natural and Semi-natural Ecosystems and Appropriate Countermeasures. Health Physics 61, 6.","Wright, S. M., Smith, J. T., Beresford, N. A., & Scott, W. A. (2003). Monte-Carlo prediction of changes in areas of west Cumbria requiring restrictions on sheep following the Chernobyl accident. Radiation and Environmental Biophysics, 42(1), 41-47. ","Smith, J. T., Comans, R. N. J., Beresford, N. A., Wright, S. M., Howard, B. J., & Camplin, W. C. (2000). Chernobyl's legacy in food and water. Nature, 405(6783), 141-141. ","Beresford, N. A., Barnett, C. L., Wright, S. M., Howard, B. J., & Crout, N. M. J. (2007). Factors contributing to radiocaesium variability in upland sheep flocks in west Cumbria (United Kingdom). Journal of Environmental Radioactivity, 98(1-2), 50-68. "],"supplementalName":["Journal paper"],"title":"Post Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Henrys","Keith","Robinson","Emmett"],"authorFullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["P.A.","A.M.","D.A.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Topsoil moisture data - gravimetric moisture content (%). Data is representative of 0 - 15 cm soil depth. Cores from 1098 plots within 256 1km by 1km squares were measured in 1998 and 2614 plots within 591 1km x 1km squares were analysed in 2007 across Great Britain. See Emmett et al. 2010 for further details of sampling and methods (http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf). Estimates of mean values within selected habitats and parent material characteristics across GB were made using Countryside Survey (CS) data from 1998 and 2007 using a mixed model approach. The estimated means of habitat/parent material combinations are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristics used were those which minimised AIC in the model (see Data documentation). Please see Scott, 2008 for further details of similar statistical analysis (http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf). Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat / parent material combinations were insufficient to estimate mean values.","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Henrys","Robinson","Emmett"],"fullName":["Keith, A.M.","Henrys, P.A.","Robinson, D.A.","Emmett, B.A."],"givenName":["A.M.","P.A.","D.A.","B.A."],"identifier":"8db84900-5fdb-43be-a607-e56c843d9b87","incomingCitationCount":2,"keyword":["Soil","Broad Habitat","Countryside Survey","Parent Material Model"],"keywordsOther":["Broad Habitat","Countryside Survey","Parent Material Model"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data used are taken from the Countryside Survey Soils Report (Emmett et al. 2010) which can be found at http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf","locations":["POLYGON((-8.67 49.41, -8.67 59.85, 3.04 59.85, 3.04 49.41, -8.67 49.41))"],"metadataDate":"2026-06-27T14:11:51.000Z","orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-06-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1395932301823","CEH:EIDC::1395932301823","https://catalogue.ceh.ac.uk/id/8db84900-5fdb-43be-a607-e56c843d9b87","10.5285/8db84900-5fdb-43be-a607-e56c843d9b87","doi:10.5285/8db84900-5fdb-43be-a607-e56c843d9b87"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Topsoil moisture data - gravimetric moisture content (%). Data is representative of 0 - 15 cm soil depth. Cores from 1098 plots within 256 1km by 1km squares were measured in 1998 and 2614 plots within 591 1km x 1km squares were analysed in 2007 across Great Britain.…","state":"published","supplementalDescription":["Emmett, B.A., Reynolds, B., Chamberlain, P.M., Rowe, E., Spurgeon, D., Brittain, S.A., Frogbrook, Z., Hughes, S., Lawlor, A.J., Poskitt, J., Potter, E., Robinson, D.A., Scott, A., Wood, C., Woods, C. (2010). Countryside Survey: Soils Report from 2007. Technical Report No. 9/07. NERC/Centre for Ecology & Hydrology 192pp. (CEH Project Number: C03259)."],"supplementalName":["Countryside Survey Soils Report from 2007"],"title":"Model estimates of topsoil moisture [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Essex"],"authorFamilyName":["Leung","Whitby","Nedwell","Dong"],"authorFullName":["Leung, G.","Whitby, C.","Nedwell, D.","Dong, L."],"authorGivenName":["G.","C.","D.","L."],"authorRor":["https://ror.org/02nkf1q06"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification and mineralization rates. Data were collected between February 2013 and November 2014. Data were collected to address the hypotheses of how the functional microbial community involved in carbon and nitrogen cycling changed seasonally and with geology. Data were collected as part of the project \"The role of lateral exchange in modulating the seaward flux of C, N, P\", funded under NERC's Macronutrients Cycles research programme. ","documentType":"GEMINI_DOCUMENT","familyName":["Warren","Leung","Whitby","Nedwell","Dong"],"fullName":["Warren, S.","Leung, G.","Whitby, C.","Nedwell, D.","Dong, L."],"funder":["Natural Environment Research Council"],"givenName":["Scott","G.","C.","D.","L."],"grant":["NE/J012106/1"],"identifier":"83f83414-f644-4684-ad5b-e1237fb12fc5","incomingCitationCount":0,"keyword":["acetate","flouride","formate","magnesium","potassium","sodium","archaea","methane production potential","methane oxidation potential","mineralisation","carbon cycle","nitrogen cycle","denitrification","nitrification","bacterium","calcium","ammonium","sulphate","phosphate","nitrite","nitrate","carbon"],"keywordsOther":["acetate","flouride","formate","magnesium","potassium","sodium","archaea","methane production potential","methane oxidation potential","mineralisation","carbon cycle","nitrogen cycle","denitrification","nitrification","bacterium","calcium","ammonium","sulphate","phosphate","nitrite","nitrate","carbon"],"licence":"Open government licence","lineage":"At each site, 9 soil samples were taken within a 40 x 40 m transect at 20 m intervals. From these samples, sub-samples were taken and stored differently depending on what analysis was done. All data were collected using standard methodologies as detailed in the supporting information.","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-06-29T17:26:36.000Z","organisation":["University of Essex","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/83f83414-f644-4684-ad5b-e1237fb12fc5","10.5285/83f83414-f644-4684-ad5b-e1237fb12fc5","doi:10.5285/83f83414-f644-4684-ad5b-e1237fb12fc5"],"resourceType":"Dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/02nkf1q06","https://ror.org/04xw4m193"],"shortenedDescription":"Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification…","state":"published","title":"Carbon and nitrogen cycling in chalk, greensand and clay soils over a seasonal cycle in the Hampshire Avon catchment","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology","BIOSS","University of St Andrews"],"authorFamilyName":["Searle","Butler","Harris","Purse"],"authorFullName":["Searle, K.","Butler, A.","Harris, C.","Purse, B.V."],"authorGivenName":["K.","A.","C.","B.V."],"authorOrcid":["https://orcid.org/0000-0003-4624-9023","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03jwrz939","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland. The distribution models were developed from quadrat vegetation data kindly provided by Scottish Natural Heritage combined with data on climate and soil conditions as well as deer abundance and were fitted using a Bayesian Generalised Mixed Modelling approach adapted for input data on the DOMIN scale. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). ","documentType":"GEMINI_DOCUMENT","familyName":["Purse","Searle","Butler","Harris"],"fullName":["Purse, B.","Searle, K.","Butler, A.","Harris, C.","Purse, B.V."],"givenName":["Bethan","K.","A.","C.","B.V."],"identifier":"5749df3d-000c-445e-a37f-dc0763b4d5ec","incomingCitationCount":0,"keyword":["Modelling","Vaccinium myrtillus","Vaccinium vitis-idaea","Arctostaphylos uva-ursi","Phytophthora ramorum","Phytophthora kernoviae"],"keywordsOther":["Vaccinium myrtillus","Vaccinium vitis-idaea","Arctostaphylos uva-ursi","Phytophthora ramorum","Phytophthora kernoviae"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"A logit-normal model was developed, structured as a generalized linear mixed model (GLMM) for logit-transformed proportions. An approach was adopted that would deal with overdispersion (the large number of absence records for the species), the unequal numbers of quadrats taken per NVC survey site, and the uncertainty around the true percent cover arising from the unequal size of the DOMIN class intervals - such that the true percent cover is an unobserved latent variable. The supporting documentation contains full details of the GLMM used. Adam Butler from Biomathematics and Statistics Scotland (BioSS) provided statistical advice for habitat suitability modelling.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T16:23:39.000Z","orcid":["https://orcid.org/0000-0001-5140-2710","https://orcid.org/0000-0003-4624-9023"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","BIOSS","University of St Andrews"],"publicationDate":"2016-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5749df3d-000c-445e-a37f-dc0763b4d5ec","10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec","doi:10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/03jwrz939","https://ror.org/02wn5qz54"],"shortenedDescription":"These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland.…","state":"published","title":"Distribution maps of Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea across Scotland as hosts for Phytophthora ","topic":["0/Modelling/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Ulster Wildlife Trust"],"authorFamilyName":["Tang","Stephens","Crory"],"authorFullName":["Tang, S.","Stephens, A.","Crory, A."],"authorGivenName":["S.","A."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.","documentType":"GEMINI_DOCUMENT","familyName":["Tang","Stephens","Crory"],"fullName":["Tang, S.","Stephens, A.","Crory, A."],"givenName":["S.","A.","Amy"],"identifier":"9c87edc2-a9be-4d4c-ae86-827bfeecd20c","incomingCitationCount":1,"keyword":["ALPHA sampler","ammonia","Pollution"],"keywordsInstrument":["ALPHA sampler","ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Local site operator duties are completed by Ulster Wildlife Trust (UWT) and analysis and plotting of results is completed by the Centre for Ecology & Hydrology, Edinburgh. Samplers are exposed in monthly cycles at the beginning of each month. ","locations":["POLYGON((-6.692 54.816, -6.692 54.833, -6.643 54.833, -6.643 54.816, -6.692 54.816))"],"metadataDate":"2026-06-29T16:43:23.000Z","organisation":["Centre for Ecology & Hydrology","Ulster Wildlife Trust","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2019-08-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9c87edc2-a9be-4d4c-ae86-827bfeecd20c","10.5285/9c87edc2-a9be-4d4c-ae86-827bfeecd20c","doi:10.5285/9c87edc2-a9be-4d4c-ae86-827bfeecd20c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar…","state":"published","supplementalName":["Ballynahone Bog - Atmospheric ammonia concentration survey: Impacts of a new poultry farm"],"title":"Ammonia measurements from passive samplers at Ballynahone Bog field site, Northern Ireland (2018)","topic":["0/Pollution/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research"],"authorFamilyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"authorFullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"authorGivenName":["A.","J.K.","J.A.","J.E.","G.R.","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"Phenotypes (growth and phenology) for Scots pine trees in a long-term common garden trial planted in three sites in Scotland, surveyed annually from 2013 to 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"fullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council","Scottish Government"],"givenName":["A.","J.K.","J.A.","J.E.","G.R.","S."],"grant":["NE/K012177/1","BB/L012243/1"],"identifier":"1c9367fb-ea87-47a1-8257-d9fed54215e7","incomingCitationCount":0,"keyword":["Phenology","Pinus sylvestris","Scots pine","Caledonian pinewood","adaptive trait variation","phenotype","common garden experiment","growth","phenology","tree"],"keywordsOther":["Pinus sylvestris","Scots pine","Caledonian pinewood","adaptive trait variation","phenotype","common garden experiment","growth","phenology","tree"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A multi-site field trial was established at three sites in Scotland in 2012 using five year old Scots pine trees. Each site contains 8 families from each of 21 native Caledonian pinewood provenances. Two of the sites (FE and FS) have four randomised blocks and the other (FW) has three randomised blocks.\n\nTree height and basal stem diameter were measured at the end of each growing season from 2013 to 2020 for trees growing at two of the field sites (FE and FW) and in 2020 for trees growing at the third (FS). \n\nPhenology assessments were performed in spring at each site from 2015 to 2019 (the survey was not completed in 2020 due to the COVID-19 pandemic).\n","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T16:15:35.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research","NERC EDS Environmental Information Data Centre","The James Hutton Institute"],"publicationDate":"2022-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c9367fb-ea87-47a1-8257-d9fed54215e7","10.5285/1c9367fb-ea87-47a1-8257-d9fed54215e7","doi:10.5285/1c9367fb-ea87-47a1-8257-d9fed54215e7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Forest Research","The James Hutton Institute"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"Phenotypes (growth and phenology) for Scots pine trees in a long-term common garden trial planted in three sites in Scotland, surveyed annually from 2013 to 2020.","state":"published","title":"Long-term multisite Scots pine trial, Scotland: field phenotypes, 2013-2020, version 2","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Cooper","Rowe","Evans","McNamara"],"authorFullName":["Morrison, R.","Cooper, H.M.","Rowe, R.L.","Evans, J.G.","McNamara, N.P."],"authorGivenName":["R.","H.M.","R.L.","J.G.","N.P."],"authorOrcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-5143-5819"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a short rotation coppice willow plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 9 January 2014 and 26 November 2017. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. \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":["Morrison","Cooper","Rowe","Evans","McNamara"],"fullName":["Morrison, R.","Cooper, H.M.","Rowe, R.L.","Evans, J.G.","McNamara, N.P."],"funder":["Natural Environment Research Council"],"givenName":["R.","H.M.","R.L.","J.G.","N.P."],"grant":["NE/R016429/1"],"identifier":"bf0d7332-4cfe-4277-bd99-3caf35332a7b","incomingCitationCount":1,"keyword":["Lincolnshire","Climate and climate change","Salix viminalis"],"keywordsOther":["Salix viminalis"],"keywordsPlace":["Lincolnshire"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made above the willow canopy using an open-path eddy covariance system.  Ancillary meteorological and soil physics observations were made from a scaffold tower at the northern end of the plantation.  \n\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1. \n\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly.  Data gaps in EC data (NEE, LE, H) were filled using the Marginal Distribution Sampling approach.  Gaps in key meteorological variables (SWin, LWin, Ta, RH) were filled using linear relationships derived from weather stations located in adjacent fields. \n\nFurther details are available in the supporting documentation.","locations":["POLYGON((-0.619 53.294, -0.619 53.345, -0.523 53.345, -0.523 53.294, -0.619 53.294))"],"metadataDate":"2026-06-29T16:05:25.000Z","orcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-5143-5819"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-02-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bf0d7332-4cfe-4277-bd99-3caf35332a7b","10.5285/bf0d7332-4cfe-4277-bd99-3caf35332a7b","doi:10.5285/bf0d7332-4cfe-4277-bd99-3caf35332a7b"],"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 surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a short rotation coppice willow plantation in Lincolnshire, UK. Turbulent…","state":"published","supplementalDescription":["Drewer, J. et al., 2012. How do soil emissions of N2O, CH4 and CO2 from perennial bioenergy crops differ from arable annual crops? GCB Bioenergy, 4(4), pp.408–419."],"title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a short rotation coppice plantation, Lincolnshire, UK, 2014-2017","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","marharv"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Dunbar","Murphy","Clarke","Davies","Scarlett"],"authorFullName":["Dunbar, M.","Murphy, J.","Clarke, R.","Davies, C.","Scarlett, P."],"authorGivenName":["M.","J.","R.","C.","P."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of invertebrate species records, sampled from headwater streams during a survey in 2007. Macro-invertebrates were sampled using standard protocols. The sample area in each stream was a single area of stream-bed whose major habitat types can be sampled within the recommended sampling period of three minutes of active sampling, supplemented by a one minute hand search. The length of river surveyed would normally vary from 5 to 15m. Samples were collected using a standard 1mm mesh pond net and returned to the Centre for Ecology & Hydrology for later sorting and identification. Supplemental physical measurements (width, depth, substrate composition) required to run RIVPACS (River Invertebrate Prediction and Classification System) were taken.\nData were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. 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. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. 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 headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Scarlett","Dunbar","Murphy","Clarke","Davies"],"fullName":["Scarlett, P.","Dunbar, M.","Murphy, J.","Clarke, R.","Davies, C."],"givenName":["P.","M.","J.","R.","C."],"identifier":"18849325-358b-4af1-b20d-d750b1c723a3","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","Water quality","Freshwater macroinvertebrates"],"keywordsOther":["Freshwater macroinvertebrates"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"Data were collected in the summer of 2007 by field surveyors. Data were recorded from up to 591km squares sited across Britain, selected by random stratified sample. The survey was undertaken according to standardized protocols. Occurrence of species was recorded on paper and data were entered post-survey. Data are managed 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":"2026-06-27T18:59:30.000Z","organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology"],"publicationDate":"2016-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/18849325-358b-4af1-b20d-d750b1c723a3","10.5285/18849325-358b-4af1-b20d-d750b1c723a3","doi:10.5285/18849325-358b-4af1-b20d-d750b1c723a3"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This dataset consists of invertebrate species records, sampled from headwater streams during a survey in 2007. Macro-invertebrates were sampled using standard protocols. The sample area in each stream was a single area of stream-bed whose major habitat types can be…","state":"published","supplementalName":["Countryside Survey website"],"title":"Headwater stream invertebrate data 2007 [Countryside Survey] ","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?facet=availability%7CAvailable"}