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J.J."],"authorGivenName":["K.E.","J.J."],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Plain text","STL","TIFF"],"description":"Computed tomography (CT) scans of 212 museum specimens, including mostly cartilaginous and bony fishes as well as several reptiles and amphibians, were obtained to quantitatively study vertebral column morphology and regionalisation. The specimens are housed in the University of Cambridge Museum of Zoology or the Natural History Museum in London (specimen identification numbers can be found in the supporting documentation). \n\nThese data consist of \n1) series of tiff images that can be imported into CT segmenting software to reconstruct their shape in three dimensions; \n2) STL files of each vertebra for a subset of the specimens scanned;\n3) 3D landmark coordinates or measurements for each vertebra for a subset of taxa scanned;\n4) tables of results from regionalisation analyses, and\n5) photographs of eight fossil fish specimens\n\nSupplemental files include details of the data collection procedures, specimen identification numbers and updated taxonomy, and CT scanning parameters for all scans.","documentType":"GEMINI_DOCUMENT","familyName":["Criswell","Head"],"fullName":["Criswell, K.E.","Head, J.J."],"funder":["Natural Environment Research Council"],"givenName":["K.E.","J.J."],"grant":["NE/S000739/1"],"identifier":"1c76e443-da02-4bc4-a041-0f79adc016be","incomingCitationCount":0,"keyword":["Evolutionary ecology","morphology","fish","anatomy","axial regionalisation","vertebral column"],"keywordsOther":["morphology","fish","anatomy","axial regionalisation","vertebral column"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"Computed tomography scans of museum specimens were obtained at the Cambridge Biotomography Centre using a Nikon  XTEK H 225 ST MicroCT scanner. Post-processing to optimise CT reconstructions and minimise scan artefacts was performed in Nikon’s CT-Pro program, and scan reslicing was performed using VG STUDIOMAX (Volume Graphics). Segmentation of CT scans resulting STL files was performed in either Mimics (Materialise) or VG STUDIOMAX (Volume Graphics). Landmark coordinates of vertebrae were plotted using Stratovan Checkpoint. Regionalisation analyses were conducted in the R software environment, with method details described in the supporting documentation for the data ","metadataDate":"2026-07-24T19:16:55.000Z","organisation":["University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c76e443-da02-4bc4-a041-0f79adc016be","10.5285/1c76e443-da02-4bc4-a041-0f79adc016be","doi:10.5285/1c76e443-da02-4bc4-a041-0f79adc016be"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"Computed tomography (CT) scans of 212 museum specimens, including mostly cartilaginous and bony fishes as well as several reptiles and amphibians, were obtained to quantitatively study vertebral column morphology and regionalisation. The specimens are housed in the…","state":"published","supplementalName":["hox gene expression predicts tetrapod-like axial regionalization in the skate, Leucoraja erinacea"],"temporalExtentText":"Data collected from 2019 to 2023","title":"Morphological and morphometric data on the axial skeletons of vertebrates from museum specimens","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS"],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McCarney","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Tilbury","Turner","Tyson","Watson","Whittaker","Wood"],"authorFullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McCarney, B.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Tilbury, C.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T.","C. 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These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McCarney","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Tilbury","Turner","Tyson","Watson","Whittaker","Wood"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McCarney, B.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Tilbury, C.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C.","UK Environmental Change Network"],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T.","C. "],"identifier":"5aeda581-b4f2-4e51-b1a6-890b6b3403a3","incomingCitationCount":6,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","UK Environmental Change Network (ECN)","Biodiversity","Aglais io","Aglais urticae","Anthocharis cardamines","Apatura iris","Aphantopus hyperantus","Argynnis adippe","Argynnis aglaja","Argynnis paphia","Aricia agestis","Aricia artaxerxes","Boloria euphrosyne","Boloria selene","Callophrys rubi","Celastrina argiolus","Coenonympha pamphilus","Coenonympha tullia","Colias croceus","Cupido minimus","Erebia aethiops","Erynnis tages","Euphydryas aurinia","Favonius quercus","Gonepteryx rhamni","Hamearis lucina","Hesperia comma","Hipparchia semele","Lasiommata megera","Leptidea juvernica","Leptidea sinapis","Lycaena phlaeas","Maculinea arion","Maniola jurtina","Melanargia galathea","Melitaea athalia","Melitaea cinxia","Ochlodes sylvanus","Papilio machaon","Pararge aegeria","Pieris brassicae","Pieris napi","Pieris rapae","Plebejus argus","Polygonia c-album","Polyommatus bellargus","Polyommatus coridon","Polyommatus icarus","Pyrgus malvae","Pyronia tithonus","Satyrium pruni","Satyrium w-album","Thecla betulae","Thymelicus acteon","Thymelicus lineola","Thymelicus sylvestris","Vanessa atalanta","Vanessa cardui"],"keywordsOther":["Aglais io","Aglais urticae","Anthocharis cardamines","Apatura iris","Aphantopus hyperantus","Argynnis adippe","Argynnis aglaja","Argynnis paphia","Aricia agestis","Aricia artaxerxes","Boloria euphrosyne","Boloria selene","Callophrys rubi","Celastrina argiolus","Coenonympha pamphilus","Coenonympha tullia","Colias croceus","Cupido minimus","Erebia aethiops","Erynnis tages","Euphydryas aurinia","Favonius quercus","Gonepteryx rhamni","Hamearis lucina","Hesperia comma","Hipparchia semele","Lasiommata megera","Leptidea juvernica","Leptidea sinapis","Lycaena phlaeas","Maculinea arion","Maniola jurtina","Melanargia galathea","Melitaea athalia","Melitaea cinxia","Ochlodes sylvanus","Papilio machaon","Pararge aegeria","Pieris brassicae","Pieris napi","Pieris rapae","Plebejus argus","Polygonia c-album","Polyommatus bellargus","Polyommatus coridon","Polyommatus icarus","Pyrgus malvae","Pyronia tithonus","Satyrium pruni","Satyrium w-album","Thecla betulae","Thymelicus acteon","Thymelicus lineola","Thymelicus sylvestris","Vanessa atalanta","Vanessa cardui"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsProject":["UK Environmental Change Network (ECN)"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Data are collected from the UK Environmental Change Network (ECN) terrestrial sites while walking a defined transect at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:41:27.000Z","orcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5aeda581-b4f2-4e51-b1a6-890b6b3403a3","10.5285/5aeda581-b4f2-4e51-b1a6-890b6b3403a3","doi:10.5285/5aeda581-b4f2-4e51-b1a6-890b6b3403a3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Butterfly data from the UK Environmental Change Network (ECN) terrestrial sites. Counts of individual species are recorded. These data are collected while walking a defined transect at all of ECN's terrestrial sites using a standard protocol. They represent continuous…","state":"published","temporalExtentText":"Data collection started in 1993","title":"UK Environmental Change Network (ECN) butterfly data: 1993-2015","topic":["0/Biodiversity/"],"version":1.0,"view":["public","kath","srennie"]},{"authorAffiliation":["University of York","Natural History Museum"],"authorFamilyName":["Prendergast-Miller","Jones","Hodson"],"authorFullName":["Prendergast-Miller, M.T.","Jones, D.T.","Hodson, M.E."],"authorGivenName":["M.T.","D.T.","Mark E."],"authorOrcid":["0000-0002-3219-6250","0000-0002-8166-1526"],"authorRor":["https://ror.org/04m01e293","https://ror.org/039zvsn29"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented on earthworm abundance with distance from hedgerows was recorded for arable fields and pasture leys at farms at Little Langton, Hutton Wandesley, Overton and Whenby, Yorkshire. Sampling was carried out 12 to 26th May 2016. Pits were excavated and soil hand sorted for earthworms. Mustard solution was then poured into the pit and any emerging earthworms collected. All earthworms were preserved in ethanol for identification using the Sims and Gerard Field studies key. At each pit the following measurements were also taken: soil moisture, soil temperature, soil bulk density. The samples were taken to determine the influence of leys on soil quality by Miranda Prendergast-Miller and colleagues as part of the SoilBioHedge project (Grant Reference NE/M017095/1) funded by the NERC Soil Security Programme. (Grant Reference NE/M017044/1).","documentType":"GEMINI_DOCUMENT","familyName":["Prendergast-Miller","Jones","Hodson"],"fullName":["Prendergast-Miller, M.T.","Jones, D.T.","Hodson, M.E."],"funder":["Natural Environment Research Council"],"givenName":["M.T.","D.T.","Mark E."],"grant":["NE/M017095/1","NE/M017044/1"],"identifier":"a5638d26-a8be-4409-ac51-42904069d919","incomingCitationCount":0,"keyword":["Agriculture","soil","earthworm","bulk density","soil moisture"],"keywordsOther":["soil","earthworm","bulk density","soil moisture"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Soil pits (18 x 18 x 15 cm) were excavated along transects and the soil hand sorted for earthworms. Mustard solution was then poured into the pit and any emerging earthworms collected. All earthworms were preserved in ethanol for identification using the Sims and Gerard Field studies key. At each pit the following measurements were also taken: three soil moisture readings in millivolts (mV) were taken at both 5 and 10 cm depth using a ML3 ThetaProbe Soil Moisture Sensor, (Delta-T Devices); single soil temperature measurements at 5 and 10 cm depth using a Checktemp®1 probe (Hanna Instruments); soil bulk density samples were taken at 5 and 15 cm soil depth using steel bulk density rings (118 cm3), soil density was calculated on an oven dry basis. The data were entered into Excel spreadsheets and exported as comma separated value files (csv) for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-1.581 53.89, -1.581 54.389, -0.975 54.389, -0.975 53.89, -1.581 53.89))"],"metadataDate":"2026-07-25T13:18:22.000Z","orcid":["0000-0002-3219-6250","0000-0002-8166-1526"],"organisation":["University of York","Natural History Museum","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-12-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5638d26-a8be-4409-ac51-42904069d919","10.5285/a5638d26-a8be-4409-ac51-42904069d919","doi:10.5285/a5638d26-a8be-4409-ac51-42904069d919"],"resourceType":"Dataset","ror":["https://ror.org/04m01e293","https://ror.org/039zvsn29","https://ror.org/04xw4m193"],"shortenedDescription":"Data are presented on earthworm abundance with distance from hedgerows was recorded for arable fields and pasture leys at farms at Little Langton, Hutton Wandesley, Overton and Whenby, Yorkshire. Sampling was carried out 12 to 26th May 2016. Pits were excavated and…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Soil moisture, temperature and bulk density and earthworm abundance and biomass along transects in arable fields and ley strips in farms in North Yorkshire, England (2016)","topic":["0/Agriculture/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all scheme data up to the year of publication.\n\nDatasets currently available for download include: annual site level indices of abundance, UK and country-level collated indices of abundance, UK trends in abundance and phenology data for all commonly occurring UK butterfly species on monitored sites across the UK since 1976, as well as annually updated site location data for all UKBMS sites. Access to other data should be requested directly via the UKBMS website - https://www.ukbms.org\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation, the UK Centre for Ecology & Hydrology, British Trust for Ornithology, and the Joint Nature Conservation Committee. The UKBMS is indebted to all volunteers who contribute data to the scheme.","documentType":"GEMINI_DOCUMENT","identifier":"d8844dbe-4b21-4643-b9ad-ac1ca15f964d","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-03-25T16:47:49.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d8844dbe-4b21-4643-b9ad-ac1ca15f964d"],"resourceType":"Aggregation","shortenedDescription":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all…","state":"published","title":"United Kingdom Butterfly Monitoring Scheme (UKBMS) 1976-2024 data","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bowes","Armstrong","Nicholls","Williams","O’Brien","Duenas-Lopez","Duke","Juergens"],"authorFullName":["Bowes, M.J.","Armstrong, L.K.","Nicholls, D.J.E.","Williams, M.","O’Brien, A.","Duenas-Lopez, M.A.","Duke, E.","Juergens, M.D."],"authorGivenName":["M.J.","L.K.","D.J.E.","M.","A.","M.A.","E.","M.D."],"authorOrcid":["0000-0002-0673-1934","0000-0002-6526-589X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. 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","documentType":"GEMINI_DOCUMENT","familyName":["Bowes","Armstrong","Nicholls","Williams","O’Brien","Duenas-Lopez","Duke","Juergens"],"fullName":["Bowes, M.J.","Armstrong, L.K.","Nicholls, D.J.E.","Williams, M.","O’Brien, A.","Duenas-Lopez, M.A.","Duke, E.","Juergens, M.D."],"funder":["Natural Environment Research Council"],"givenName":["M.J.","L.K.","D.J.E.","M.","A.","M.A.","E.","M.D."],"grant":["NE/R016429/1"],"identifier":"703af27b-ce8c-44e0-ac20-b46e391a64ef","incomingCitationCount":0,"keyword":["Thames Catchment","Southeast England","Environmental risk","Water quality","water quality","chemistry","Nutrients","river pollution"],"keywordsOther":["water quality","chemistry","Nutrients","river pollution"],"keywordsPlace":["Thames Catchment","Southeast England"],"keywordsTheme":["Environmental risk","Water quality"],"licence":"Open government licence","lineage":"All water samples were collected by fieldworkers from the UK Centre for Ecology & Hydrology (UKCEH), Wallingford.  All chemical analysis was carried out by the Nutrient Chemistry Laboratories at CEH Wallingford.  ","locations":["POLYGON((-1.846 51.276, -1.846 52.176, 1.208 52.176, 1.208 51.276, -1.846 51.276))"],"metadataDate":"2026-07-25T06:50:48.000Z","observedPropertyValue":["Date","Site_name","Time","Sample_ID","Water_Temperature (oC)","Soluble_reactive_phosphorus_(µg P/L)","Total_dissolved_phosphorus_(µg _P/L)","Lab_pH","Total_phosphorus_(µg P/L)","Gran_alkalinity_µeq/L","Suspended_solids_mg/L","Dissolved_ammonium_(mg NH4/l)","Dissolved_silicon_(mg_Si/L) ","Chlorophyll-a_(µg/L)","Dissolved_fluoride_(mg_F/L)","Dissolved_chloride_(mg_Cl/L)","Dissolved_nitrite_(mg_NO2/L)","Dissolved_nitrate_(mg_NO3/L)","Dissolved_sulphate_(mg_SO4/L)","Total_dissolved_nitrogen_(mg_N/L)","Dissolved_organic_carbon_(mg/L)","Field_pH ","Conductivity_(µS/cm)","Redox_potential_(mV)","Dissolved_oxygen_(%_saturation)","Dissolved_oxygen_(mg/L)","Dissolved_Al_(mg/L)","Dissolved_B_(µg/L)","Dissolved_Ca_(mg/L)","Dissolved_Fe_(µg/L)","Dissolved_K_(mg/L)","Dissolved_Mg_(mg/L)","Dissolved_Na_(mg/L)","Dissolved_P_(mg/L)","Dissolved_S_(mg/L)","Dissolved_Si_(mg/L)","Dissolved_Mn_(µg/L)","Dissolved_Zn_(µg/L)","Dissolved_Cu_(µg/L)","Total_Na_(mg/L)","Total_Ca_(mg/L)","Total_Mg_(mg/L)","Total_B_(µg/L)","Total_Fe_(µg/L)","Total_Mn_(µg/L)","Total_Zn_(µg/L)","Total_Cu_(µg/L)","Total_Al_(µg/L)"],"orcid":["0000-0002-0673-1934","0000-0002-6526-589X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/703af27b-ce8c-44e0-ac20-b46e391a64ef","10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef","doi:10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity,…","state":"published","supplementalDescription":["Bowes, M. J., Armstrong, L. K., Harman, S. A., Wickham, H. D., Nicholls, D. J. E., Scarlett, P. M., Roberts, C., Jarvie, H. P., Old, G. H., Gozzard, E., Bachiller-Jareno, N., & Read, D. S. (2018). Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform. Earth System Science Data, 10(3), 1637–1653. https://doi.org/10.5194/essd-10-1637-2018\n"],"temporalExtentText":"Data collected from 2009 to 2023","title":"Weekly water quality data from the River Thames and its major tributaries, 2009-2023","topic":["0/Environmental risk/","0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"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":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring project on the breeding biology and behaviour of birds. ","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":"af4c9b5a-fba9-4133-b782-2a2cbc927280","incomingCitationCount":0,"keyword":["Ringing records","ornithology","ringing (wildlife)"],"keywordsOther":["Ringing records","ornithology","ringing (wildlife)"],"licence":"Open government licence","lineage":"During April - June, all unringed breeding pairs were trapped at the nest and fitted with a British Trust for Ornithology (BTO) metal leg ring. Great tits and blue tits were additionally fitted with a plastic leg ring containing a RFID tag (IB Technologies, UK). All nestlings were also fitted with these tags at 2 weeks old. Additional ringing was carried out throughout the autumn and winter across the woodland. Birds were trapped using mistnets; biometrics (mass, wing length, tarsus length, fats score) were recorded for all birds and immigrants to the population were fitted with tags. All birds were released after they were processed. These data were entered into our internal Edward Grey Institute (EGI) Bird data Management Project application (EBMP), where they underwent a number of quality checks.","locations":["POLYGON((-1.356 51.751, -1.356 51.784, -1.293 51.784, -1.293 51.751, -1.356 51.751))"],"metadataDate":"2026-07-25T13:24:30.000Z","orcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af4c9b5a-fba9-4133-b782-2a2cbc927280","10.5285/af4c9b5a-fba9-4133-b782-2a2cbc927280","doi:10.5285/af4c9b5a-fba9-4133-b782-2a2cbc927280"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring…","state":"published","temporalExtentText":"Data collected from 2020 to 2020; Data collected from 2021 to 2021","title":"Bird ringing records from Wytham Woods, Oxfordshire, UK during 2020 and 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of St Andrews","University of Glasgow","Scottish Association For Marine Science"],"authorFamilyName":["Smeaton","Miller","Ladd","O'Dell","Austin"],"authorFullName":["Smeaton, C.","Miller, L.C.","Ladd, C.J.T.","O'Dell, A.","Austin, W.E.N."],"authorGivenName":["C.","L.C.","C.J.T.","A.","W.E.N."],"authorOrcid":["0000-0003-4535-2555","0000-0003-2876-4312","0000-0001-5437-6474","0000-0002-4266-250X","0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04ke6ht85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Bulk elemental (carbon and nitrogen) and stable isotope (delta 13C and delta 15N) data produced from 491 samples collected between 2016-2021 from terrestrial (soil, peat, living biomass, dead biomass), intertidal (saltmarsh vegetation, saltmarsh roots, seagrass biomass, mudflat, faecal matter) and marine (macroalgae, microalgae zooplankton, finfish aquaculture waste) environments across the UK. \n\nThese samples alongside analytical standard derived from natural materials (lignin, humic acid, cellulose, glucose, protein) were analysed to determine their bulk elemental (organic carbon and nitrogen) and stable isotope (delta 13C org and delta 15N) composition. These values are envisioned to be used to constrain organic carbon sources (terrestrial vs marine) in the natural environment when used alongside isotope mixing models. \n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Miller","Ladd","O'Dell","Austin"],"fullName":["Smeaton, C.","Miller, L.C.","Ladd, C.J.T.","O'Dell, A.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","L.C.","C.J.T.","A.","W.E.N."],"identifier":"a445a7a8-528d-4e0b-9094-28cbcd449367","incomingCitationCount":0,"keyword":["United Kingdom","Scotland","carbon","fjord","macroalgae","isotopes","bulk elemental","C/N","nitrogen","alga","salt marsh","soil","blue carbon","organic carbon","sediment","coastal area","intertidal zone","root","wetland"],"keywordsOther":["carbon","fjord","macroalgae","isotopes","bulk elemental","C/N","nitrogen","alga","salt marsh","soil","blue carbon","organic carbon","sediment","coastal area","intertidal zone","root","wetland"],"keywordsPlace":["United Kingdom","Scotland"],"licence":"Open government licence","lineage":"Samples were collected from coastal catchments around the United Kingdom, the material was described in the field using expert knowledge. The samples were stored at -20°C prior to analysis. The samples were oven dried at (40°C for 72 hours) prior to being milled to a fine powder. Bulk elemental (OC and N) and stable isotope (delta 13C org and delta 15N) composition was determined following the standard methodology detailed in the supporting documentation.  All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:17:58.000Z","orcid":["0000-0003-4535-2555","0000-0003-2876-4312","0000-0001-5437-6474","0000-0002-4266-250X","0000-0001-6544-3468"],"organisation":["University of St Andrews","University of Glasgow","Scottish Association For Marine Science","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-04-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a445a7a8-528d-4e0b-9094-28cbcd449367","10.5285/a445a7a8-528d-4e0b-9094-28cbcd449367","doi:10.5285/a445a7a8-528d-4e0b-9094-28cbcd449367"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04ke6ht85","https://ror.org/04xw4m193"],"shortenedDescription":"Bulk elemental (carbon and nitrogen) and stable isotope (delta 13C and delta 15N) data produced from 491 samples collected between 2016-2021 from terrestrial (soil, peat, living biomass, dead biomass), intertidal (saltmarsh vegetation, saltmarsh roots, seagrass biomass,…","state":"published","supplementalName":["Project Website"],"temporalExtentText":"Data collected from 2016 to 2021","title":"Bulk elemental and stable isotope composition of organic matter from terrestrial, intertidal, and marine environments, UK, 2016-2021","version":1.0,"view":["public","thowag"]},{"authorAffiliation":["Lactuca: Environmental Data Analyses and Modelling","UK Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Hooftman","Bullock","Jones","Willcock"],"authorFullName":["Hooftman, D.A.P.","Bullock, J.M.","Jones, L.","Willcock, S."],"authorGivenName":["D.A.P.","J.M.","L.","S."],"authorOrcid":["0000-0001-9835-6897","0000-0003-0529-4020","0000-0002-4379-9006","0000-0001-6704-3548"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This data set contains UK-wide maps of ten different among-model ensemble approaches for two services: above ground Carbon stock and water supply. The data for Carbon comes as fourteen TIF maps for above ground carbon storage at a 1-km2 resolution with associated world files:  ten approaches, with a double option for two of those, together with maps of variation among models and among ensembles. For water, the data comes as one shapefile with polygons per watershed, each polygon containing these fourteen estimates. For all maps, 600dpi jpg depictions are added to the supporting information. Directory location independent layer files are included to aid scaling and providing the colour palettes.\n\nEnsemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches.\n\nThe work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme.","documentType":"GEMINI_DOCUMENT","familyName":["Hooftman","Bullock","Jones","Willcock"],"fullName":["Hooftman, D.A.P.","Bullock, J.M.","Jones, L.","Willcock, S."],"funder":["Natural Environment Research Council"],"givenName":["D.A.P.","J.M.","L.","S."],"grant":["NE/T00391X/1"],"identifier":"a9ae773d-b742-4d42-ae42-2b594bae5d38","incomingCitationCount":0,"keyword":["United Kingdom","ensemble modelling","weighted averaging","water supply","sustainable development","natural capital","modelling","ecosystem services","carbon stock"],"keywordsOther":["ensemble modelling","weighted averaging","water supply","sustainable development","natural capital","modelling","ecosystem services","carbon stock"],"keywordsPlace":["United Kingdom"],"licence":"Open government licence","lineage":"The ensembles, their approach methodology, and their validations are currently under review in Ecosystem Services as Hooftman et al. (2022): Weighted Ensembles Reduce Uncertainty in Ecosystem Service Modelling. Relevant Matlab and Python codes can be found at  github.com/EnsemblesTypes.\n\nAmong model ensembles for above ground standing carbon are provided as 1-km2 gridcells; Water supply ensembles are provided per catchment polygons associated to the 519 selected National River Flow Archive gauging stations in this study. \n\nModel data included outputs from among others: InVest, ARIES, WaterWorld, LUCI, LPJ-GUESS, TEEB, Scholes, Aqueduct, Grid-to-Grid, and DECIPHeR. These data sets are not provided here, but a full list with links to these data sets or software, where applicable, can be found in the supporting documentation. Note that license restrictions could apply. Ensembles approaches include: unweighted (mean and median) approaches, weighted averaging with weights determined following multiple methods (deterministic and iterative), attribute weighted averaging, and trained approaches. Uncertainty is presented by the Standard Error of Mean among contributing model outputs and among ensemble approaches, calculated as the standard deviation corrected with the amount of contributing models/ensembles per cell.\n\nPrior to ensemble calculations: all individual model outputs have been normalised against the lower 2.5% and upper 97.5% percentile. Afterwards, the resulting Ensembles have been identically re-normalised to ensure a 0-1 scale. For all details about the individual model approaches, their synchronisation, ensemble algorithms and their validation we refer to the supporting documentation and associated publication.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:20:47.000Z","orcid":["0000-0001-9835-6897","0000-0003-0529-4020","0000-0002-4379-9006","0000-0001-6704-3548"],"organisation":["Lactuca: Environmental Data Analyses and Modelling","UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a9ae773d-b742-4d42-ae42-2b594bae5d38","10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38","doi:10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains UK-wide maps of ten different among-model ensemble approaches for two services: above ground Carbon stock and water supply. The data for Carbon comes as fourteen TIF maps for above ground carbon storage at a 1-km2 resolution with associated world…","state":"published","title":"Ensemble outputs among contemporary ecosystem service models for water supply and aboveground carbon storage in the UK following 10 different methods","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage cover for each 1km pixel. The 10 aggregate classes are groupings of 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\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","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"84c07c67-88a4-439a-a339-b0577afd3886","incomingCitationCount":0,"keyword":["Land cover","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 1km dominant cover aggregate class is produced from the 1km percentage cover aggregate class product. The 1km percentage cover data is used to identify the highest percentage cover across the 10 bands and a script is used to identify with which band the maximum value coincides.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T08:37:59.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-10-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/84c07c67-88a4-439a-a339-b0577afd3886","10.5285/84c07c67-88a4-439a-a339-b0577afd3886","doi:10.5285/84c07c67-88a4-439a-a339-b0577afd3886"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Land Cover Map 1990 (1km dominant aggregate class, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","ARG UK","Froglife","University of Leicester","University of Kent","ARC Trust","Herpetologic Ltd","Deakin University"],"authorFamilyName":["Gardner","Julian","Tse-Leon","Petrovskii","Monk","Allain","Bradley","Cartwright","Cranfield","Gent","Madsen","Reading","Wilkinson","Baker","Dyason","Mawby","Pywell","Bullock"],"authorFullName":["Gardner, E.","Julian, A.","Tse-Leon, J.","Petrovskii, S.","Monk, C.","Allain, S.J.R.","Bradley, V.","Cartwright, M.","Cranfield, J.","Gent, T.","Madsen, T.","Reading, C.","Wilkinson, J.","Baker, J.","Dyason, S.","Mawby, A.","Pywell, R.F.","Bullock, J.M."],"authorGivenName":["E.","A.","J.","S.","C.","S.J.R.","V.","M.","T.","R.F.","J.M."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04h699437","https://ror.org/00xkeyj56","https://ror.org/02czsnj07"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","R script"],"description":"Amph4pop is a process-based model, written in R, that simulates the foraging, dispersal and population processes of amphibians. It accounts for amount and configuration of habitat resources to predict spatially-explicit relative abundance and foraging rates, for a given input landscape. It can also optionally incorporate road mortality effects for a single breeding population located in the centre of the input landscape. The input landcover information must be in raster format. The model can ingest a base landcover raster as well as edgecover rasters, which represent the locations of small landcover features that occupy only a fraction of a pixel. It requires road classes (assumed to relate to traffic frequency) to be distinguished in the input rasters, if road mortality effects are to be simulated. Model outputs are raster stacks with the same spatial extent and resolution as the input landcover raster. \n\nThe amph4pop model was co-developed by the UK Centre for Ecology & Hydrology, the Amphibian and Reptile Groups of the UK, and Froglife. It has been parameterised for one UK amphibian species (common toad; Bufo bufo). These parameter files (amph_guild_params.csv and amph_habitat_params.csv) are included. The model’s predictions have been validated against observations of toad habitat use reported by volunteer Toad Patrols across Great Britain, who are supported by Froglife through their Toads on Roads Project.\n\nData in amph_guild_params.csv includes typical movement ranges (adult foraging range around the breeding pond in meters), population growth parameters (maximum clutch size, maximum tadpole density, growth parameters in arbitrary units) and survival parameters (fraction of tadpoles surviving to metamorphosis, metamorph survival to breeding age probability, adult female yearly survival probability, mortality probability on UK motorway, mortality probability on UK urban A road, mortality probability on UK rural A road, mortality probability on UK urban minor road, mortality probability on UK rural minor road) for common toad, used in the amph4pop model. \n\nData in amph_habitat_params consists of scores representing the relative suitability as an aquatic breeding habitat (on a scale from 0-1, where 0 = none and 1 = very high) and the relative availability of foraging resources (on a scale from 0-5, where 0 = none and 5 = very high) for common toad and the 78 landcover classes, used in the amph4pop model. Given scores are the mean values across n contributing experts. The data also include the number of contributing experts, the standard error on the mean score, and the alpha and beta values that describe a beta distribution consistent with the measured mean and variance for each score.\n\nThis model is intended to help support understanding of how amphibians might be using landscapes. No decisions should ever be made solely on the basis of this model’s predictions – on-the-ground ecological surveys and integration of local knowledge are always required before any landscape-level or site-level decisions are made, due to real-life amphibian activity levels potentially differing from predicted levels. Users are recommended to get in touch with the model developers to ensure they have the most up-to-date version of the code and to receive support on model use and interpretation.","documentType":"GEMINI_DOCUMENT","familyName":["Gardner","Julian","Tse-Leon","Petrovskii","Monk","Allain","Bradley","Cartwright","Cranfield","Gent","Madsen","Reading","Wilkinson","Baker","Dyason","Mawby","Pywell","Bullock"],"fullName":["Gardner, E.","Julian, A.","Tse-Leon, J.","Petrovskii, S.","Monk, C.","Allain, S.J.R.","Bradley, V.","Cartwright, M.","Cranfield, J.","Gent, T.","Madsen, T.","Reading, C.","Wilkinson, J.","Baker, J.","Dyason, S.","Mawby, A.","Pywell, R.F.","Bullock, J.M."],"funder":["Natural Environment Research Council"],"givenName":["E.","A.","J.","S.","C.","S.J.R.","V.","M.","T.","R.F.","J.M."],"grant":["NE/V007831/1"],"identifier":"579dde20-47ae-4e32-ad24-037fadd8da25","incomingCitationCount":0,"keyword":["Animal behaviour","process based model","spatially explicit","foraging behavior","dispersal","population","breeding resources","habitat use","visitation rates","population size","population distribution","relative abundance","amphibians","common toad","Bufo bufo","population growth and mortality"],"keywordsOther":["process based model","spatially explicit","foraging behavior","dispersal","population","breeding resources","habitat use","visitation rates","population size","population distribution","relative abundance","amphibians","common toad","Bufo bufo","population growth and mortality"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Amph4pop model code was developed from the poll4pop model (Gardner, et al., 2020; Yclough, 2020). It contains functions that are identical to those used in the poll4pop model, functions that are adapted from functions used in the poll4pop model, and new functions. \n\nData in amph_guild_params.csv is derived from literature data, with subsequent processing to convert units and calculate road mortality probabilities from published relationships with traffic frequency and UK Government traffic flow statistics. The growth parameters are set by selecting the values that produce sustainable populations (when traffic effects are included) across the maximum achievable number of populations used to validate the model (~60 out of 70 populations spread across Great Britain). \n\nData in amph_habitat_params is derived from an expert opinion questionnaire completed by ten individuals with research and/or survey experience of this taxon. The mean scores and their standard error are weighted according to the self-reported certainty scores that experts gave alongside their habitat resource scores.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-01T14:37:55.000Z","organisation":["UK Centre for Ecology & Hydrology","ARG UK","Froglife","University of Leicester","University of Kent","ARC Trust","Herpetologic Ltd","Deakin University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-04T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/579dde20-47ae-4e32-ad24-037fadd8da25","10.5285/579dde20-47ae-4e32-ad24-037fadd8da25","doi:10.5285/579dde20-47ae-4e32-ad24-037fadd8da25"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04h699437","https://ror.org/00xkeyj56","https://ror.org/02czsnj07","https://ror.org/04xw4m193"],"shortenedDescription":"Amph4pop is a process-based model, written in R, that simulates the foraging, dispersal and population processes of amphibians. It accounts for amount and configuration of habitat resources to predict spatially-explicit relative abundance and foraging rates, for a given…","state":"published","supplementalDescription":["Gardner E, Breeze TD, Clough Y, et al. Reliably predicting pollinator abundance: Challenges of calibrating process-based ecological models. Methods Ecol. Evol. 2020; 11: 1673–1689. https://doi.org/10.1111/2041-210X.13483","yclough. (2020). yclough/poll4pop: Gardner_etal_MEE (v1.1.1). Zenodo. https://doi.org/10.5281/zenodo.4001015"],"supplementalName":["Poll4Pop model publication","Poll4pop dataset publication"],"title":"Amph4pop model for the simulation of foraging, dispersal and population processes of UK amphibians","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Glasgow","University of St Andrews","University of York ","University of York","UK Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Ladd","Miller","McMahon","Havelock","Smeaton","Garbutt","Skov","Austin"],"authorFullName":["Ladd, C.J.T.","Miller, L.C.","McMahon, L.","Havelock, G.M.","Smeaton, C.","Garbutt, A.","Skov, M.W.","Austin, W.E.N."],"authorGivenName":["C.J.T.","L.C.","L.","G.M.","C.","A.","M.W.","W.E.N."],"authorOrcid":["0000-0001-5437-6474","0000-0003-2876-4312","0000-0003-0199-7108","0000-0001-5862-1596","0000-0003-4535-2555","0000-0002-9145-9786","0000-0002-7204-3865","0000-0001-6544-3468"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/02wn5qz54","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to develop an understanding the linkages between saltmarsh soil organic carbon and vegetation. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The dataset comprises of percentage species cover, plant height, plant richness and plant diversity data from 33 UK saltmarshes.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Miller","McMahon","Havelock","Smeaton","Garbutt","Skov","Austin"],"fullName":["Ladd, C.J.T.","Miller, L.C.","McMahon, L.","Havelock, G.M.","Smeaton, C.","Garbutt, A.","Skov, M.W.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.J.T.","L.C.","L.","G.M.","C.","A.","M.W.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"7815291a-ee3e-49a7-8ef1-e8baa81f4964","incomingCitationCount":0,"keyword":["United Kingdom","plant","richness carbon","C-SIDE","substrate","Scotland","England","Wales","coastal ecosystem","wetland","blue carbon","sediment","salt marsh","organic matter","organic carbon","vegetation","biological diversity"],"keywordsOther":["United Kingdom","plant","richness carbon","C-SIDE","substrate","Scotland","England","Wales","coastal ecosystem","wetland","blue carbon","sediment","salt marsh","organic matter","organic carbon","vegetation","biological diversity"],"licence":"Open government licence","lineage":"Across 33 UK saltmarshes 460 vegetation surveys were undertaken using 1m x 1m quadrats. The location of each quadrat was recorded using Differential Global Positioning System (DGPS). Within each quadrat percentage cover of each plant species was estimated by eye. Plant height was measured at 10 random points within each quadrat. The mean plant height and standard deviation for each quadrat was calculated and reported.  Plant species richness was recorded as the number of species present per quadrat and plant diversity was estimated using the Shannon-Wiener Index. Vegetation data were recorded in the field and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:54:22.000Z","orcid":["0000-0001-5437-6474","0000-0003-2876-4312","0000-0003-0199-7108","0000-0001-5862-1596","0000-0003-4535-2555","0000-0002-9145-9786","0000-0002-7204-3865","0000-0001-6544-3468"],"organisation":["University of Glasgow","University of St Andrews","University of York ","University of York","UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-07-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7815291a-ee3e-49a7-8ef1-e8baa81f4964","10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964","doi:10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/00vtgdb53","https://ror.org/02wn5qz54","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE)…","state":"published","temporalExtentText":"Data collected from 2018 to 2021","title":"Vegetation composition data from UK saltmarshes, 2018 to 2021","version":1.0,"view":["public","margla"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service provides a 1km resolution gridded coverage of wooded areas in riparian zones (river- or streamsides) across Great Britain.\n\nThe areas classified as riparian in this dataset are defined by a 50 metre buffer applied to the CEH 1:50000 watercourse network. Wooded areas within this zone are identified as those classified by the Land Cover Map of Great Britain 2007 as either coniferous or deciduous woodland. The data are aggregated to a 1km resolution.","documentType":"GEMINI_DOCUMENT","identifier":"e4b36270-8246-4afa-8eff-6781210a0477","incomingCitationCount":0,"keyword":["infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:41:50.000Z","organisation":["NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-04T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e4b36270-8246-4afa-8eff-6781210a0477"],"resourceType":"Service","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This web map service provides a 1km resolution gridded coverage of wooded areas in riparian zones (river- or streamsides) across Great Britain.\n\nThe areas classified as riparian in this dataset are defined by a 50 metre buffer applied to the CEH 1:50000 watercourse…","state":"published","title":"WMS of wooded riparian zones in Great Britain","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Rothamsted Research","Bangor University"],"authorFamilyName":["Goodall","Griffiths","Blaud","Abadie","Clark","Hirsch","Carswell","Misselbrook","Sánchez-Rodríguez","Chadwick","Jones","Reinsch"],"authorFullName":["Goodall, T.I.","Griffiths, R.I.","Blaud, A.","Abadie, M.","Clark, I.M.","Hirsch, P.R.","Carswell, A.M.","Misselbrook, T.H.","Sánchez-Rodríguez, A.R.","Chadwick, D.R.","Jones, D.L.","Reinsch, S."],"authorGivenName":["T.I.","R.I.","A","M.","I.M.","P.R.","A.M.","T.H.","A.R.","D.R.","D.L.","S."],"authorOrcid":["0000-0003-0860-8080","0000-0002-1589-5420","0000-0003-0580-6698","0000-0002-4594-3606","0000-0001-8734-2035","0000-0002-1482-4209","0000-0003-4649-0677"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consist of nitrogen gene data, soil biodiversity indices and microbial community composition for three soil depths (0-15, 15-30 and 30-60 cm) from a winter wheat field experiment located in the United Kingdom and collected between April 2017 and August 2017. The sites were Rothamsted Research at North Wyke in Devon  and Bangor University at Henfaes Research Station in North Wales.\n\nAt each site measurements were taken from 15 plots, organised within a randomised complete block design where 5 plots did not receive fertilizers (controls), 5 plots received food-based digestate, and 5 plots received acidified food based digestate a nitrification inhibitor. Soil samples were taken within two weeks of digestate application and shortly before winter wheat harvest.\n\nSoil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. \n\nSoil samples were taken by members of staff from Centre of Ecology & Hydrology (Bangor), Bangor University, School of Environment, Natural Resources & Geography Sustainable Agricultural Sciences, and Rothamsted Research North Wyke. Measurements were carried out Rothamsted Research Harpenden and the Centre of Ecology & Hydrology (Wallingford). Soil physico-chemical parameters were measured on the same soil samples and are presented in a related dataset. https://catalogue.ceh.ac.uk/id/90df9dfa-a0c8-4ead-a13d-0a0a13cda7ab\n\nData was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC -  Ref BB/N013468/1","documentType":"GEMINI_DOCUMENT","familyName":["Goodall","Griffiths","Blaud","Abadie","Clark","Hirsch","Carswell","Misselbrook","Sánchez-Rodríguez","Chadwick","Jones","Reinsch"],"fullName":["Goodall, T.I.","Griffiths, R.I.","Blaud, A.","Abadie, M.","Clark, I.M.","Hirsch, P.R.","Carswell, A.M.","Misselbrook, T.H.","Sánchez-Rodríguez, A.R.","Chadwick, D.R.","Jones, D.L.","Reinsch, S."],"funder":["Biotechnology and Biological Sciences Research Council"],"givenName":["T.I.","R.I.","A","M.","I.M.","P.R.","A.M.","T.H.","A.R.","D.R.","D.L.","S."],"grant":["BB/N013468/1"],"identifier":"391c0294-07f1-4856-b592-428bd44055ca","incomingCitationCount":0,"keyword":["winter wheat","nitrogen","fertiliser","digestate","operational taxonomic unit","diversity index","bacterial community composition"],"keywordsOther":["winter wheat","nitrogen","fertiliser","digestate","operational taxonomic unit","diversity index","bacterial community composition"],"licence":"Open government licence","lineage":"Soil samples were taken by members of staff from the different sites. Samples were sent to Rothamsted Research Harpenden for DNA extractions and extracts were analysed for nitrogen genes (nifH, amoA, nirK, nirS, nosZ, ureC). Extracts were also sent to CEH Wallingford for analyses of operational taxonomic units (OTUs').\n\nSoil community DNA was extracted from 0.25 grams soil using the MoBio DNA PowerSoil DNA isolation kit (Mo Bio Laboratories, Inc. Carlsbad, CA), following manufacturer’s protocol. Extracted DNA was quantified by fluorometer Qubit® 2.0 dsDNA BR Assay Kit (Thermo Fisher Scientific) and quality checked by nanodrop (Thermo Fisher Scientific).\n\nQuantitative-Polymerase chain reaction (qPCR) protocols were followed as detailed in De Sosa et al. 2018.\n\nExtracted DNA was supplied from Rothamsted Research in Harpenden for amplicon sequencing at the facilities of the Molecular Ecology Group, Centre for Ecology & Hydrology, Wallingford. <50 μL volumes of DNA extract were supplied in 96-well plate format, these were subject to 16S Ribosomal ribonucleic acid (rRNA) amplicon sequencing as described in Kozich 2013 and Internal transcribed spacer (ITS) rRNA amplicon sequencing employing the Kozich 2013 strategy and Ihrmark 2012.\n\nAll results were entered into a Microsoft Excel spreadsheet and converted to .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.022 50.767, -4.022 53.241, -3.892 53.241, -3.892 50.767, -4.022 50.767))"],"metadataDate":"2026-07-24T20:38:51.000Z","orcid":["0000-0003-0860-8080","0000-0002-1589-5420","0000-0003-0580-6698","0000-0002-4594-3606","0000-0001-8734-2035","0000-0002-1482-4209","0000-0003-4649-0677"],"organisation":["Centre for Ecology & Hydrology","Rothamsted Research","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-04-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/391c0294-07f1-4856-b592-428bd44055ca","10.5285/391c0294-07f1-4856-b592-428bd44055ca","doi:10.5285/391c0294-07f1-4856-b592-428bd44055ca"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of nitrogen gene data, soil biodiversity indices and microbial community composition for three soil depths (0-15, 15-30 and 30-60 cm) from a winter wheat field experiment located in the United Kingdom and collected between April 2017 and August 2017.…","state":"published","supplementalDescription":["Kozich, J.J., Westcott, S.L., Baxter, N.T., Highlander, S. K., & Schloss, P.D. (2013). Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform. Applied and Environmental Microbiology, 79(17), 5112–5120.","de Sosa, L.L., Glanville, H.C., Marshall, M.R., Schnepf, A., Cooper, D.M., Hill, P.W., … Jones, D.L. (2018). Stoichiometric constraints on the microbial processing of carbon with soil depth along a riparian hillslope. Biology and Fertility of Soils, 54(8), 949–963."],"supplementalName":["The UK-China Virtual Joint Centre for Improved Nitrogen Agronomy (CINAG)"],"temporalExtentText":"Data collected from 2017 to 2017","title":"Soil biological properties from a digestate experiment on winter wheat at North Wyke and Henfaes Farm, UK (2017)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Edinburgh","University of Glasgow","University College London","University of Leeds","University of Bristol","People in Need","An-Najah National University","Global Earthquake Model","Boğaziçi University","Chittagong University of Engineering & Technology"],"authorFamilyName":["Sinclair","Creed","Gentile","Watson","Jenkins","Mandahar","Dabbeek","Aljawhari","Cakti","Zisan","Phillips","McCloskey"],"authorFullName":["Sinclair, H.","Creed, M.","Gentile, R.","Watson, C.S.","Jenkins, L.","Mandahar, V.","Dabbeek, J.","Aljawhari, K.","Cakti, E.","Zisan, B.","Phillips, J.","McCloskey, J."],"authorGivenName":["H.","M.","R.","C.S.","L.","V.","J.","K.","E.","B."],"authorOrcid":["0000-0003-4719-7130","0000-0001-6694-8994","0000-0002-7682-4490","0000-0003-2656-961X","0000-0001-8274-1416","0000-0001-8369-4105","0000-0003-4891-8702","0000-0003-1381-1833","0000-0002-6959-0235","0000-0003-4370-529X"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/00vtgdb53","https://ror.org/02jx3x895","https://ror.org/024mrxd33","https://ror.org/0524sp257","https://ror.org/00kr65d46","https://ror.org/0046mja08","https://ror.org/02xh1tf34","https://ror.org/03z9tma90","https://ror.org/052qsay17"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","Comma-separated values (CSV)","geojson"],"description":"This dataset includes hazard data from 10 different cities (Istanbul, Nablus, Chattogram, Cox's Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam), to be used in multi-hazard impact modelling. Each dataset represents the hazardscape of the case study area within the cities mentioned above for earthquake, flood, landslide, and debris flow scenarios. The produced hazard maps are simulations that reflect a \"what-if\" scenario, and not every city contains all hazard type scenarios. The data includes:\n\n Earthquake data: Data representing a potential earthquake hazard sourced from a seismic event, that may effect the study area. The intensity measure is either VS30 or SA for the simulated event.\n\n Flood data: Data representing a potential flood event due to heavy rainfall event or riverine. The intensity measure is flood depth (height). \n\nLandslide / debris flow data: Data representing a potential landslide or debris flow event that is triggered due to heavy rainfall. \n\nHazard parameter files: This file (in .pdf format) provides information on the background of the each hazard scenario such as the location of the source, attributes included and approach that is used (if available) to create it. \n\nThis dataset was created as part of case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1)","documentType":"GEMINI_DOCUMENT","familyName":["Sinclair","Creed","Gentile","Watson","Jenkins","Mandahar","Dabbeek","Aljawhari","Cakti","Zisan","Phillips","McCloskey","Menteşe"],"fullName":["Sinclair, H.","Creed, M.","Gentile, R.","Watson, C.S.","Jenkins, L.","Mandahar, V.","Dabbeek, J.","Aljawhari, K.","Cakti, E.","Zisan, B.","Phillips, J.","McCloskey, J.","Menteşe, E."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.","R.","C.S.","L.","V.","J.","K.","E.","B."],"grant":["NE/S009000/1"],"identifier":"dd5c8a28-a82a-4b73-981c-dd1ead32df26","incomingCitationCount":0,"keyword":["Environmental risk","earthquake","flood","landslide","urbanisation","hazard","GCRF Urban Disaster Risk Hub","Tomorrow's Cities"],"keywordsOther":["earthquake","flood","landslide","urbanisation","hazard","GCRF Urban Disaster Risk Hub","Tomorrow's Cities"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"First, relevant hazards for the study area were defined based on the regional risk context and stakeholder priorities, ensuring the focus was on those hazards with the most significant impact and available data. Following this, raw data was gathered from a range of sources, including satellite imagery, ground sensors, historical event records, and existing scientific models. This initial data was diverse in format, resolution, and quality. Next, the collected data was pre-processed and standardized, cleaning errors, filling gaps where possible, and harmonizing spatial references and temporal scales to ensure consistency. Where observational data was lacking, global hazard models were developed and calibrated to simulate physical phenomena, producing detailed spatial and temporal hazard maps and time series. These modelled outputs complemented the observational data, forming a robust foundation for integrating multiple hazards into a unified dataset.","locations":["POLYGON((-82.26 -13.582, -82.26 44.214, 94 44.214, 94 -13.582, -82.26 -13.582))"],"metadataDate":"2026-08-04T12:05:29.000Z","orcid":["0000-0003-4719-7130","0000-0001-6694-8994","0000-0002-7682-4490","0000-0003-2656-961X","0000-0001-8274-1416","0000-0001-8369-4105","0000-0003-4891-8702","0000-0003-1381-1833","0000-0002-6959-0235","0000-0003-4370-529X","0000-0002-7187-4384"],"organisation":["University of Edinburgh","University of Glasgow","University College London","University of Leeds","University of Bristol","People in Need","An-Najah National University","Global Earthquake Model","Boğaziçi University","Chittagong University of Engineering & Technology","Anofa Engineering, Planning and Informatics Ltd","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd5c8a28-a82a-4b73-981c-dd1ead32df26","10.5285/dd5c8a28-a82a-4b73-981c-dd1ead32df26","doi:10.5285/dd5c8a28-a82a-4b73-981c-dd1ead32df26"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/00vtgdb53","https://ror.org/02jx3x895","https://ror.org/024mrxd33","https://ror.org/0524sp257","https://ror.org/00kr65d46","https://ror.org/0046mja08","https://ror.org/02xh1tf34","https://ror.org/03z9tma90","https://ror.org/052qsay17","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes hazard data from 10 different cities (Istanbul, Nablus, Chattogram, Cox's Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam), to be used in multi-hazard impact modelling. Each dataset represents the hazardscape of the case study area…","state":"published","supplementalDescription":["Cremen, G., Galasso, C., & McCloskey, J. (2022). A Simulation‐Based Framework for Earthquake Risk‐Informed and People‐Centered Decision Making on Future Urban Planning. Earth's Future, 10(1).","Cremen, G., Galasso, C., McCloskey, J., Barcena, A., Creed, M., Filippi, M. E., Gentile, R., Jenkins, L. T., Kalaycioglu, M., Mentese, E. Y., Muthusamy, M., Tarbali, K., & Trogrlić, R. Š. (2023). A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities. International Journal of Disaster Risk Reduction, 85, 103400."],"title":"Multi-hazard (earthquake, flood, landslide, debris flow) scenario data from 10 cities for natural hazard risk modelling","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Middlebrook","Harrower","Milborrow","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.A.","Milborrow, J.","Roy, D.B."],"authorGivenName":["Marc S","Ian","Colin A","Jo","David B"],"authorOrcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see.\n\nSite indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK.\n\nSite indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"givenName":["Marc S","Ian","Colin A","Jo","David B","Marc"],"identifier":"53a1c705-4437-48bb-9bcd-b68977f8edd9","incomingCitationCount":0,"keyword":["Biodiversity","annual","butterflies","Leipdoptera","BReVI"],"keywordsOther":["annual","butterflies","Leipdoptera","BReVI"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Automatic checks are applied when data are entered into the Transect Walker program to alert recorders to potential data entry errors, e.g. abnormally high counts of a species or a record of species outside of its recognised flight period. The recorder is given the option to proceed with the record or to alter it appropriately. Each site data belongs to a region for which a transect coordinator is responsible. The regional coordinator has good knowledge of the sites they receive records for and checks the records for any questionable records. Data entered online is also checked by the regional transect coordinators and can be done so continuously throughout the season. Following these preliminary validation checks, the data undergoes a series of further automated and manual validation procedures including queries to check for records of species that are: recorded out of their known distribution range (using data from Butterfly Conservation's Butterflies for the New Millennium (BNM) and existing UKBMS data), recorded out of their normal flight period, recorded for the first time at a site, have extreme abundances or abundances that are markedly different to normal for a given site at a given time of year.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:04:06.000Z","orcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","NERC EDS Environmental Information Data Centre","Joint Nature Conservation Committee"],"publicationDate":"2025-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/53a1c705-4437-48bb-9bcd-b68977f8edd9","10.5285/53a1c705-4437-48bb-9bcd-b68977f8edd9","doi:10.5285/53a1c705-4437-48bb-9bcd-b68977f8edd9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"United Kingdom Butterfly Monitoring Scheme: site indices 2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","Stockholm University","Northwest Territories Geological Survey","University of Sussex","University of Sheffield"],"authorFamilyName":["Friggens","Hugelius","Kokelj","Murton","Phoenix","Hartley"],"authorFullName":["Friggens, N.L.","Hugelius, G.","Kokelj, S.V.","Murton, J.B.","Phoenix, G.K.","Hartley, I.P."],"authorGivenName":["N.L.","G.","S.V.","J.B. ","G.K.","I.P. "],"authorOrcid":["0000-0002-5536-6312","0000-0002-8096-1594","0000-0002-2840-2605","0000-0002-9469-5856","0000-0002-0911-8107","0000-0002-9183-6617"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/05f0yaq80","https://ror.org/00ayhx656","https://ror.org/05krs5044"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the soil particle size distribution and the 12 & 13 CO2 fluxes from varying permafrost soil types and horizons sampled from the North West Territories and Yukon, Canada in 2019 and 2020. The soils were used in a continuous labelling experiment with live Agrostis capillaris growing into them with corresponding root-free controls. The recorded flux data is used to derive the rhizosphere priming effect in the tested soils.","documentType":"GEMINI_DOCUMENT","familyName":["Friggens","Hugelius","Kokelj","Murton","Phoenix","Hartley"],"fullName":["Friggens, N.L.","Hugelius, G.","Kokelj, S.V.","Murton, J.B.","Phoenix, G.K.","Hartley, I.P."],"funder":["Natural Environment Research Council"],"givenName":["N.L.","G.","S.V.","J.B. ","G.K.","I.P. ","Nina Lindstrom"],"grant":["NE/S010122/1"],"identifier":"a80c688c-0a91-41ce-a8e9-89479a38a566","incomingCitationCount":0,"keyword":["Yukon","Northwest Territories","Canada","Soil","soil particle size","permafrost","soil carbon fluxes","rhizosphere priming","13C labelling"],"keywordsOther":["soil particle size","permafrost","soil carbon fluxes","rhizosphere priming","13C labelling"],"keywordsPlace":["Yukon","Northwest Territories","Canada"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"The soil particle data was generated by adding dried, hydrogen peroxide digested soil subsamples to a Bettersizer S3 Plus (Bettersize Instruments Ltd., Dandong, China) soil particle analyser which integrates laser diffraction and dynamic image analysis to characterize particle size and size distribution over a wide size range.\n\nThe CO2 flux data was generated by connecting a Picarro G2000i stable isotope analyser to each of the 216 soil headspaces for 3 minutes or until stable and recording the concentrations of 12/13 CO2 and the flow of incoming air to the headspace. These data are then used to calculate a flux of CO2 from each soil. The 12&13CO2 flux is then derived using a mixing model.\n","locations":["POLYGON((-140.977 61.016, -140.977 69.225, -98.438 69.225, -98.438 61.016, -140.977 61.016))"],"metadataDate":"2026-07-25T13:20:02.000Z","orcid":["0000-0002-5536-6312","0000-0002-8096-1594","0000-0002-2840-2605","0000-0002-9469-5856","0000-0002-0911-8107","0000-0002-9183-6617"],"organisation":["University of Exeter","Stockholm University","Northwest Territories Geological Survey","University of Sussex","University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a80c688c-0a91-41ce-a8e9-89479a38a566","10.5285/a80c688c-0a91-41ce-a8e9-89479a38a566","doi:10.5285/a80c688c-0a91-41ce-a8e9-89479a38a566"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/05f0yaq80","https://ror.org/00ayhx656","https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the soil particle size distribution and the 12 & 13 CO2 fluxes from varying permafrost soil types and horizons sampled from the North West Territories and Yukon, Canada in 2019 and 2020. The soils were used in a continuous labelling…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Soil particle size distributions and CO2 fluxes of permafrost soils from the North West Territories and Yukon, Canada, 2019-2020","topic":["0/Soil/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Stirling","University of California Riverside"],"authorFamilyName":["Metcalf","White","Moresco","Ormsby","Oliver","Quilliam"],"authorFullName":["Metcalf, R.","White, H.L.","Moresco, V.","Ormsby, M.J.","Oliver, D.O.","Quilliam, R."],"authorGivenName":["R.","H.L.","V. ","M.J.","D.O.","R. "],"authorOrcid":["0000-0002-1463-427X","0000-0001-7020-4410"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data includes concentrations of faecal indicator organisms isolated from the plastic waste and natural substrates found on Scottish beaches, as well as the antibiotic resistance of selected strains of these organisms.\nSewage-associated plastic waste, and naturally occurring substrates (seaweed and sand), were collected in 2021 from ten beaches along the Firth of Forth estuary (Scotland, UK). The concentrations of faecal indicator organisms (FIOs), E. coli and intestinal enterococci (IE), and potential human pathogens (Vibrio spp.) on the plastic waste and natural substrates were  analysed using selective media. Minimum inhibitory concentration (MIC) analysis was used to determine antibiotic resistance in selected strains.\n","documentType":"GEMINI_DOCUMENT","familyName":["Metcalf","White","Moresco","Ormsby","Oliver","Quilliam"],"fullName":["Metcalf, R.","White, H.L.","Moresco, V.","Ormsby, M.J.","Oliver, D.O.","Quilliam, R."],"givenName":["R.","H.L.","V. ","M.J.","D.O.","R. "],"identifier":"9d0a6437-f01e-4cf3-9f83-86d2f4ead869","incomingCitationCount":0,"keyword":["Beach pollution","Environmental pathogens","Plastic pollution","Plastisphere","Sewage discharge","Wet wipes"],"keywordsOther":["Beach pollution","Environmental pathogens","Plastic pollution","Plastisphere","Sewage discharge","Wet wipes"],"licence":"Open government licence","lineage":"Sewage-associated plastic waste (wipes, cotton bud sticks and sanitary products) was collected from ten beaches. All samples were stored at 4 °C and processed within 48 h.\nReplicate composite samples of wipes, cotton bud sticks and seaweed from each site were pre-enriched in non-selective media Luria-Bertani (LB) broth or Vibrio selective Bile Peptone broth at 37 °C in a shaking incubator for 18 h. Following pre-enrichment, serial dilutions were carried out in phosphate buffered saline (PBS) and dilutions were plated onto selective media. All plates were inverted and incubated. The presence or absence of target bacteria on all sewage-associated plastic waste samples was determined by enumerating colony forming units (CFUs).\nMinimum inhibitory concentration (MIC): Representative individual colonies of E. coli, IE and Vibrio spp. isolated from seaweed, wet wipe, and cotton bud stick samples, were picked off agar plates, grown further overnight in LB broth, and subjected to MIC analysis to determine antibiotic resistance to  amoxicillin, ampicillin, streptomycin, cephalexin, and tetracycline at varying concentrations. Two-fold serial dilutions of each antibiotic were made in LB broth in 96-well plates. Bacterial cultures were adjusted to an optical density at a wavelength of 600nm (OD600nm) of 0.1, and 10 μL added to each well of a 96-well plate. Samples were incubated overnight at 37 °C.\n","locations":["POLYGON((-3.878 55.848, -3.878 56.277, -2.747 56.277, -2.747 55.848, -3.878 55.848))"],"metadataDate":"2026-07-25T10:23:29.000Z","orcid":["0000-0002-1463-427X","0000-0001-7020-4410"],"organisation":["University of Stirling","University of California Riverside","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9d0a6437-f01e-4cf3-9f83-86d2f4ead869","10.5285/9d0a6437-f01e-4cf3-9f83-86d2f4ead869","doi:10.5285/9d0a6437-f01e-4cf3-9f83-86d2f4ead869"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data includes concentrations of faecal indicator organisms isolated from the plastic waste and natural substrates found on Scottish beaches, as well as the antibiotic resistance of selected strains of these organisms.\nSewage-associated plastic waste, and naturally…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Concentrations and antibiotic resistance of faecal indicator organisms and human pathogens associated with sewage waste on Scottish beaches, 2021","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology and Hydrology"],"authorFamilyName":["Cowan","Hanlon","Bezanger","Di Marco","Carole","Nemitz","Drewer"],"authorFullName":["Cowan, N.","Hanlon, M.","Bezanger, A.","Di Marco, C.","Carole, H.","Nemitz, E.","Drewer, J."],"authorGivenName":["Nicholas","Mark","Aurelia","Chiara","Helfter","Eiko","Julia"],"authorOrcid":["0000-0002-7473-7916","0000-0002-9635-8191","0000-0001-5773-4652","0000-0002-1765-6298","0000-0002-6263-6341"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Measurements were conducted at a long-term environmental monitoring site at Easter Bush Farm in Midlothian, central Scotland. The aerodynamic gradient (AG) flux method was used to measure gas fluxes of H2, and also of CO2. A mast with four inlet heights (0.55, 0.90, 1.70 and 3.05 m) was positioned within an enclosure between two grazed grassland fields. An eddy covariance (EC) mast was erected also in the enclosure adjacent to the AG mast to provide a reference measurement against which to assess the performance of the AG method. Continuous measurements of soil temperature and soil volumetric water content (VWC) were made throughout the measurement period at 5, 10, 20 and 50 cm depth in the soil using buried CS655 water content reflectometers and CS109 temperature probes (both Campbell Scientific, Utah, USA). Air temperature and relative humidity were measured by a HMP60 Humidity and Temperature Probe (Vaisala, Vantaa, Finland) at a height of 1.85 m.","documentType":"GEMINI_DOCUMENT","familyName":["Cowan","Hanlon","Bezanger","Di Marco","Carole","Nemitz","Drewer"],"fullName":["Cowan, N.","Hanlon, M.","Bezanger, A.","Di Marco, C.","Carole, H.","Nemitz, E.","Drewer, J.","Nicholas Cowan"],"funder":["Natural Environment Research Council"],"givenName":["Nicholas","Mark","Aurelia","Chiara","Helfter","Eiko","Julia"],"grant":["NE/X013456/1"],"identifier":"077fecc1-6244-4fd7-9d41-6f98763f5f14","incomingCitationCount":0,"keyword":["Climate and climate change","Gas Flux","Micrometeorological flux measurement","Hydrogen gas","Carbon dioxide"],"keywordsOther":["Gas Flux","Micrometeorological flux measurement","Hydrogen gas","Carbon dioxide"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Several stages of data filtering were applied to improve the quality of retained AG flux data. Initial filtering was based on wind conditions for which data was discarded when u_* < 0.1 m s-1, L < ± 2 m, the variance in vertical wind speed > 1 m s-1 or wind was from the direction obscured by the cabin (130 - 150 ˚N) or fence line between the fields (305 - 315 ˚N). As EC data was used to quality check AGM fluxes, all data was discarded when CO2 flux data was flagged using the 0-1-2 quality flagging system. Where quality flags for sensible heat (H), momentum ( 𝜏) or CO2 flux were >1, data was discarded from the analysis. Plausible limits on CO2 flux at the site were deemed to be within -50 to 25 µmol m-2 s-1. Any EC flux data beyond these limits was also used to discard data. A further filtering of the H2 data was applied based on the comparison of CO2 flux measured between the AG and EC methods. Periods when measured CO2 fluxes by both AG and EC methods differed by more than ± 10 µmol m-2 s-1 were taken as indicative that conditions for AGM calculations were not ideal, thus flux data was discarded from the analysis. After data filtering, approximately 38 % of measured H2 flux data remained.","locations":["POLYGON((-3.213 55.863, -3.213 55.871, -3.199 55.871, -3.199 55.863, -3.213 55.863))"],"metadataDate":"2026-07-24T18:56:30.000Z","orcid":["0000-0002-7473-7916","0000-0002-9635-8191","0000-0001-5773-4652","0000-0002-1765-6298","0000-0002-6263-6341"],"organisation":["UK Centre for Ecology and Hydrology","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/077fecc1-6244-4fd7-9d41-6f98763f5f14","10.5285/077fecc1-6244-4fd7-9d41-6f98763f5f14","doi:10.5285/077fecc1-6244-4fd7-9d41-6f98763f5f14"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology and Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Measurements were conducted at a long-term environmental monitoring site at Easter Bush Farm in Midlothian, central Scotland. The aerodynamic gradient (AG) flux method was used to measure gas fluxes of H2, and also of CO2. A mast with four inlet heights (0.55, 0.90,…","state":"published","temporalExtentText":"Data collected from 2024 to 2025","title":"Hydrogen soil flux measurements using the aerodynamic gradient technique at a grassland in central Scotland, August 2024-September 2025","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Glasgow","University of Vienna","University of the Philippines","Brunel University London","Macquarie University","University of Auckland"],"authorFamilyName":["Tolentino","Perez","Guardian","Boothroyd","Hoey","Williams","Fryirs","Brierley","David"],"authorFullName":["Tolentino, P.L.M.","Perez, J.E.G.","Guardian, E.L.","Boothroyd, R.J.","Hoey, T.B.","Williams, R.D.","Fryirs, K.A.","Brierley, G.B.","David, C.P.C."],"authorGivenName":["P.L.M.","J.E.G.","E.L.","R.J.","T.B.","R.D.","K.A.","G.B.","C.P.C."],"authorOrcid":["0000-0002-1803-9734","0000-0001-9742-4229","0000-0003-0734-6218","0000-0001-6067-1947"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)","TIFF"],"description":"The shapefiles contain the classification and locations of each river style determined by the authors. The data were used to characterise the river styles in Bislak River, Philippines. Shapefiles were clipped to the catchment boundary from different national government agencies to produce different thematic maps. Catchment properties such as land use (from the National Mapping and Resource Information Authority (NAMRIA)), geology (from the Mines and Geosciences Bureau), fault (from Philippine Institute of Volcanology and Seismology, rainfall isohyets, slope map, and the digital elevation model (also from NAMRIA) were used for regional and catchment analysis. The data only covers the whole Bislak catchment, Philippines. The CSV contains data used for the stream power analysis where stream power is a factor of slope and discharge.","documentType":"GEMINI_DOCUMENT","familyName":["Tolentino","Perez","Guardian","Boothroyd","Hoey","Williams","Fryirs","Brierley","David"],"fullName":["Tolentino, P.L.M.","Perez, J.E.G.","Guardian, E.L.","Boothroyd, R.J.","Hoey, T.B.","Williams, R.D.","Fryirs, K.A.","Brierley, G.B.","David, C.P.C."],"funder":["Natural Environment Research Council","Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development","Scottish Funding Council"],"givenName":["P.L.M.","J.E.G.","E.L.","R.J.","T.B.","R.D.","K.A.","G.B.","C.P.C."],"grant":["NE/S003312"],"identifier":"31ae71aa-74a9-466b-9a3a-25d2b1a9406e","incomingCitationCount":2,"keyword":["Philippines","Luzon","Hydrology","River styles","catchment","river","geomorphology"],"keywordsOther":["River styles","catchment","river","geomorphology"],"keywordsPlace":["Philippines","Luzon"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The shapefiles used for the regional and catchment analyses were clipped from the national data provided by different Philippine government agencies while the river styles data were delineated and classified using the River Styles Framework as a guide. These data can be used as guidance for characterisation of other rivers in the Philippines. ","locations":["POLYGON((120.485 18.095, 120.485 18.567, 121.024 18.567, 121.024 18.095, 120.485 18.095))"],"metadataDate":"2026-07-24T20:34:08.000Z","orcid":["0000-0002-1803-9734","0000-0001-9742-4229","0000-0003-0734-6218","0000-0001-6067-1947"],"organisation":["University of Glasgow","University of Vienna","University of the Philippines","Brunel University London","Macquarie University","University of Auckland","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/31ae71aa-74a9-466b-9a3a-25d2b1a9406e","10.5285/31ae71aa-74a9-466b-9a3a-25d2b1a9406e","doi:10.5285/31ae71aa-74a9-466b-9a3a-25d2b1a9406e"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The shapefiles contain the classification and locations of each river style determined by the authors. The data were used to characterise the river styles in Bislak River, Philippines. Shapefiles were clipped to the catchment boundary from different national government…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"River style characterisation, hydromorphological attributes, catchment properties and stream power analysis for the Bislak Catchment, Philippines, 2020","topic":["0/Hydrology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Lactuca: Environmental Data Analyses and Modelling","UK Centre for Ecology & Hydrology","Cornell University","Natural Capital Project","Bangor University"],"authorFamilyName":["Hooftman","Bullock","Neugarten","Chaplin-Kramer","Willcock"],"authorFullName":["Hooftman, D.A.P.","Bullock, J.M.","Neugarten, R.A.","Chaplin-Kramer, R.","Willcock, S."],"authorGivenName":["D.A.P.","J.M.","R.A. ","R.","S."],"authorOrcid":["0000-0001-9835-6897","0000-0003-0529-4020","0000-0003-0647-0516","0000-0002-1539-5231","0000-0001-6704-3548"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","Shapefile"],"description":"This data set contains Global maps of five ecosystem services using 6 different among-model ensemble approaches: the provisioning services of water supply, biomass for fuelwood and forage production, the regulating service Carbon Storage for CO2 retention and the cultural non-material service Recreation. For water, the data comes as one shapefile with polygons per watershed, each polygon containing seven ensemble estimates. The other services – recreation, carbon storage, biomass for fuelwood and forage production – come as seven tiff- maps at a 1-km2 resolution with associated world files for each tiff-map contains 43,200 x 18,600 pixels for one ensemble approach, with LZW compressed file sizes between 400MB and 950MB. For all maps, 600dpi jpg depictions are added to the supporting information with uniform colour scaling set for the median ensemble per service. \n\nEnsemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches.\n\nThe work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme, with additional funding from ES/R009279/1 (MobilES) & ES/T007877/1 (RUST).","documentType":"GEMINI_DOCUMENT","familyName":["Hooftman","Bullock","Neugarten","Chaplin-Kramer","Willcock"],"fullName":["Hooftman, D.A.P.","Bullock, J.M.","Neugarten, R.A.","Chaplin-Kramer, R.","Willcock, S."],"funder":["Natural Environment Research Council","Economic and Social Research Council"],"givenName":["D.A.P.","J.M.","R.A. ","R.","S."],"grant":["NE/T00391X/1","ES/R009279/1","ES/T007877/1"],"identifier":"bd940dad-9bf4-40d9-891b-161f3dfe8e86","incomingCitationCount":0,"keyword":["Carbon stocks","Ensemble modelling","Fuelwood","Global maps","Weighted averaging","natural capital","recreation","water supply","livestock","ecosystem services","sustainable development"],"keywordsOther":["Carbon stocks","Ensemble modelling","Fuelwood","Global maps","Weighted averaging","natural capital","recreation","water supply","livestock","ecosystem services","sustainable development"],"licence":"Open government licence","lineage":"The ensembles, their approach methodology, and their validations are currently in revision after review in Science Advances as Willcock et al. (2023): Model Ensembles of Ecosystem Services Fill Global Certainty and Capacity Gaps. Relevant Matlab and Python codes can be found at https://github.com/GlobalEnsembles   \n\nGlobal among model ensembles for recreation, carbon storage, and biomass for fuelwood and forage production are provided as 1-km2 gridcells; water supply ensembles are provided per catchment polygons associated to the 15,289 worldwide HydroSHEDS catchment definitions (https://www.hydrosheds.org/). Model data included outputs from among others: InVEST, ARIES, WaterWorld, Co$ting Nature, LPJ-GUESS, TEEB, Scholes, Aqueduct, FAO livestock distributions, and a wide variety of biomass models such as from ESA CCI Biomass Climate Change Initiative, GEOCARBON global forest biomass and Global Forest Watch. These data sets are not provided here, but a full list with links to these data sets or software, where applicable, can be found in the supporting documentation. Note that license restrictions could apply. \n\nEnsembles approaches include: unweighted (mean and median) approaches and weighted averaging with weights determined following multiple methods according to Hooftman et al. (2022): the deterministic correlation coefficient among models, the first principal component among models and weights iterated as regression to the median and leave-one-out cross validation. Uncertainty is presented by the Standard Error of Mean among contributing model outputs and among ensemble approaches, calculated as the standard deviation corrected with the amount of contributing models/ensembles per cell.\n\nPrior to ensemble calculations: all individual model outputs have been normalised against the lower 2.5% and upper 97.5% percentile. Afterwards, the resulting Ensembles have been identically re-normalised to ensure a 0-1 scale. For all details about the individual model approaches, their synchronisation, ensemble algorithms and their validation we refer to the supporting documentation and associated publication.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T12:59:58.000Z","orcid":["0000-0001-9835-6897","0000-0003-0529-4020","0000-0003-0647-0516","0000-0002-1539-5231","0000-0001-6704-3548"],"organisation":["Lactuca: Environmental Data Analyses and Modelling","UK Centre for Ecology & Hydrology","Cornell University","Natural Capital Project","Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bd940dad-9bf4-40d9-891b-161f3dfe8e86","10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86","doi:10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/006jb1a24"],"shortenedDescription":"This data set contains Global maps of five ecosystem services using 6 different among-model ensemble approaches: the provisioning services of water supply, biomass for fuelwood and forage production, the regulating service Carbon Storage for CO2 retention and the cultural…","state":"published","title":"Global ensembles of Ecosystem Service map outputs modelled at 1km resolution for water supply, recreation, carbon storage, fuelwood and forage production","version":1.0,"view":["public","matnic"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}