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A.; Frogbrook, Z. L.; Chamberlain, P. M.; Griffiths, R; Pickup, R.; Poskitt, J.; Reynolds, B.; Rowe, E.; Rowland, P.; Wilson, J.; Wood, C. M.. 2008 Countryside Survey. Soils Manual. NERC/Centre for Ecology & Hydrology, 180pp. (CS Technical Report No.3/07, CEH Project Number: C03259)","Emmett, B.A.; Reynolds, B.; Chamberlain, P.M.; Rowe, E.; Spurgeon, D.; Brittain, S.A.; Frogbrook, Z.; Hughes, S.; Lawlor, A.J.; Poskitt, J.; Potter, E.; Robinson, D.A.; Scott, A.; Wood, C.; Woods, C.. 2010 Countryside Survey: Soils Report from 2007. 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Sediment samples were collected within the SIGMA: Peru project between 2019-2020. Geochemistry data include major and minor elements in sediment samples determined by X-Ray Fluorescence (XRF), organic matter determined by loss-on-ignition (LOI), and particle size data, and are provided for both the wider Rio Santa catchment and the Ranrahirca sub-catchment. The research was supported by the Natural Environment Research Council and the Newton Fund (grant NE/S013245/1).","documentType":"GEMINI_DOCUMENT","familyName":["Clason","Kitch","Rangecroft","Blake","Morera","Contreras Acho"],"fullName":["Clason, C.C.","Kitch, J.","Rangecroft, S.","Blake, W.","Morera, S.","Contreras Acho, S.G."],"funder":["Natural Environment Research Council"],"givenName":["C.C.","J.","S.","W.","S.G."],"grant":["NE/S013245/1"],"identifier":"20837a27-414c-4597-a6d2-3edc1d2e9a98","incomingCitationCount":0,"keyword":["Peru","Cordillera Blanca","Rio Santa","Ranrahirca","Land cover","Hydrology","Environmental survey","XRF","sediment","sediment chemistry","land cover"],"keywordsOther":["XRF","sediment","sediment chemistry","land cover"],"keywordsPlace":["Peru","Cordillera Blanca","Rio Santa","Ranrahirca"],"keywordsTheme":["Land cover","Hydrology","Environmental survey"],"licence":"Open government licence","lineage":"A new land cover map for the Rio Santa was generated via supervised classification of Landsat 8 imagery in ArcGIS, trained from field-sampled and geolocated land cover data. Sediment samples were collected in the field between 2019 and 2020 to characterise the range of sediment sources contributing to channel sediments in the Rio Santa catchment and Ranrahirca sub-catchment. Samples were oven dried, sieved to <63 μm, and prepared as required for further analyses. Data were produced on organic content (via loss-on-ignition), particle size (via laser diffraction) and major and minor elements (via Wavelength Dispersive X-Ray Fluorescence). All data were assessed for quality and erroneous values removed.","locations":["POLYGON((-78.716 -10.17, -78.716 -8.033, -77.112 -8.033, -77.112 -10.17, -78.716 -10.17))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0001-8236-2555","0000-0001-9778-3758","0000-0001-9447-1361","0000-0001-5743-1897"],"organisation":["Durham University","University of Exeter","University of Plymouth","Instituto Geofísico del Perú","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/20837a27-414c-4597-a6d2-3edc1d2e9a98","10.5285/20837a27-414c-4597-a6d2-3edc1d2e9a98","doi:10.5285/20837a27-414c-4597-a6d2-3edc1d2e9a98"],"resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"These data encompass land cover data and sediment geochemistry from the Rio Santa catchment of the Peruvian Andes. 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Geochemistry data include major and minor elements in sediment samples…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Land cover and sediment geochemistry in the Rio Santa catchment, Cordillera Blanca, Peru, 2019-2020","topic":["0/Land cover/","0/Hydrology/","0/Environmental survey/"],"version":1.0,"view":["public","rafbar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","The James Hutton Institute","The James Hutton Institute ","Durham University","University of Leicester","Bangor University","Department for Food, Environment and Rural Affairs","Durham University "],"authorFamilyName":["Morrison","Cooper","Artz","Burden","Callaghan","Coyle","Cumming","Dixon","Helfter","Kaduk","Levy","McNamara","Oakley","Page","Rayment","Ridley","Worrall","Evans"],"authorFullName":["Morrison, R.","Cooper, H.M.","Artz, R.","Burden, A.","Callaghan, N.","Coyle, M.","Cumming, A.M.J.","Dixon, S.","Helfter, C.","Kaduk, J.","Levy, P.","McNamara, N.","Oakley, S.","Page, S.E.","Rayment, M.","Ridley, L.M.","Worrall, F.","Evans, C.D."],"authorGivenName":["R.","H.M.","A.","N.","M.","A.M.J.","S.","C.","J.","P.","S.E.","L.M.","F.","C.D."],"authorOrcid":["0000-0002-1847-3127","0000-0002-1382-3407","0000-0002-7694-1638","0000-0002-9440-6524","0000-0001-5704-9006","0000-0002-6801-6098","0000-0001-5773-4652","0000-0003-4051-3081","0000-0002-8505-1901","0000-0002-5143-5819","0000-0002-5757-7420","0000-0002-3392-9241","0000-0003-3599-364X","0000-0002-4139-1330","0000-0002-7052-354X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of land surface-atmosphere net ecosystem carbon dioxide exchange (NEE) and supporting micrometeorological observations collected at 13 peatland eddy covariance (EC) flux observation sites located across Wales, Scotland and England. Sites were active at different timescales between 2008 and 2020. The dataset represents a subset of the variables measured at each site. \n\nThe full range of variables monitored at each location can be accessed via EIDC records and/or by contacting the authors.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morrison","Cooper","Artz","Burden","Callaghan","Coyle","Cumming","Dixon","Helfter","Kaduk","Levy","McNamara","Oakley","Page","Rayment","Ridley","Worrall","Evans"],"fullName":["Morrison, R.","Cooper, H.M.","Artz, R.","Burden, A.","Callaghan, N.","Coyle, M.","Cumming, A.M.J.","Dixon, S.","Helfter, C.","Kaduk, J.","Levy, P.","McNamara, N.","Oakley, S.","Page, S.E.","Rayment, M.","Ridley, L.M.","Worrall, F.","Evans, C.D."],"funder":["Natural Environment Research Council"],"givenName":["R.","H.M.","A.","N.","M.","A.M.J.","S.","C.","J.","P.","S.E.","L.M.","F.","C.D.","Ross"],"grant":["NE/R016429/1"],"identifier":"b8c9fd3d-f9ea-4fd8-9557-9022884f711d","incomingCitationCount":2,"keyword":["UK-SCAPE","Soil","Environmental survey","Climate and climate change","Peatland","carbon dioxide","meteorology","peat"],"keywordsOther":["Peatland","carbon dioxide","meteorology","peat"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Soil","Environmental survey","Climate and climate change"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made using open- or closed-path eddy covariance systems.\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software.\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly.\nFurther details are available in the supporting documentation.","locations":["POLYGON((-7.682 49.864, -7.682 60.861, 1.768 60.861, 1.768 49.864, -7.682 49.864))"],"metadataDate":"2026-08-11T08:35:17.000Z","orcid":["0000-0002-1847-3127","0000-0002-1382-3407","0000-0002-7694-1638","0000-0002-9440-6524","0000-0001-5704-9006","0000-0002-6801-6098","0000-0001-5773-4652","0000-0003-4051-3081","0000-0002-8505-1901","0000-0002-5143-5819","0000-0002-5757-7420","0000-0002-3392-9241","0000-0003-3599-364X","0000-0002-4139-1330","0000-0002-7052-354X"],"organisation":["UK Centre for Ecology & Hydrology","The James Hutton Institute","The James Hutton Institute ","Durham University","University of Leicester","Bangor University","Department for Food, Environment and Rural Affairs","Durham University ","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8c9fd3d-f9ea-4fd8-9557-9022884f711d","10.5285/b8c9fd3d-f9ea-4fd8-9557-9022884f711d","doi:10.5285/b8c9fd3d-f9ea-4fd8-9557-9022884f711d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of land surface-atmosphere net ecosystem carbon dioxide exchange (NEE) and supporting micrometeorological observations collected at 13 peatland eddy covariance (EC) flux observation sites located across Wales, Scotland…","state":"published","temporalExtentText":"Data collected from 2008 to 2020","title":"Net ecosystem carbon dioxide (CO2) exchange and meteorological observations collected at peatlands across Wales, Scotland and England, 2008-2020","topic":["0/Soil/","0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Dinsmore","Billett","Dyson"],"authorFullName":["Dinsmore, K.J.","Billett, M.F.","Dyson, K.E."],"authorGivenName":["K.J.","M.F.","K.E."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Dataset contains concentrations of particulate and dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Auchencorth Moss is part of the UK Centre for Ecology & Hydrology's UK Carbon Catchment project. \n\nConcentrations have been measured approximately weekly from January 2007 to December 2011 ","documentType":"GEMINI_DOCUMENT","familyName":["Dinsmore","Billett","Dyson"],"fullName":["Dinsmore, K.J.","Billett, M.F.","Dyson, K.E.","Dinsmore, K."],"givenName":["K.J.","M.F.","K.E.","Kerry"],"identifier":"3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","incomingCitationCount":1,"keyword":["Auchencorth Moss","Scotland","Black Burn","Climate and climate change","aquatic","peatland","CEH Carbon Catchments","stream water","methane","peat","carbon dioxide","dissolved inorganic carbon","dissolved organic carbon","particulate organic carbon"],"keywordsOther":["aquatic","peatland","CEH Carbon Catchments","stream water","methane","peat","carbon dioxide","dissolved inorganic carbon","dissolved organic carbon","particulate organic carbon"],"keywordsPlace":["Auchencorth Moss","Scotland","Black Burn"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","lineage":"Water and headspace (for gas analsyis) samples were collected approximately weekly primarily by Dr Kerry Dinsmore. Analysis was carried out at CEH Edinburgh, again primarily by Dr Kerry Dinsmore. The samples were collected from a single sampling site over the 5 year period. A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Dinsmore, K.J.; Billett, M.F.; Dyson, K.E.. 2013 Temperature and precipitation drive temporal variability in aquatic carbon and GHG concentrations and fluxes in a peatland catchment. Global Change Biology. 10.1111/gcb.12209 ","locations":["POLYGON((-3.289 55.777, -3.289 55.808, -3.237 55.808, -3.237 55.777, -3.289 55.777))"],"metadataDate":"2026-09-15T08:42:44.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-12-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","doi:10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Dataset contains concentrations of particulate and dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Auchencorth Moss is part of the UK Centre for Ecology & Hydrology's…","state":"published","temporalExtentText":"Data collected from 2007 to 2011","title":"Five year record of aquatic carbon and greenhouse gas concentrations from Auchencorth Moss","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","rstu"]},{"altTitle":["ITE Merlewood Land Classification of Great Britain"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","JPEG","PNG"],"description":"This service is a representation of the Land Classification of Great Britain. The Land Classification is a classification of sets of environmental strata (land classes) to be used as a basis for ecological survey. The classification was originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s. The strata were created from the multivariate analysis of 75 environmental variables, including climatic data, topographic data, human geographical features and geology data. The Land Classification has provided a stratification for successive ecological surveys (the Countryside Survey of Great Britain), the results of which have characterised the classes in terms of botanical, zoological and landscape features. Additionally, the Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample. There are three layers in this WMS (1) the 1990 version of the Land Classification which contains 32 classes - classifying all 240,000km squares in Great Britain (2) the 1998 version in which the Land Classification was adjusted to 40 classes as a consequence of the need to provide National Estimates for habitats in Scotland in addition to GB (3) the 2007 version in which the Land Classification was adjusted once again, to 45 classes, as a consequence of the need to provide Wales-only estimates in addition to those for Scotland and GB.","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["Wood, C.M."],"givenName":["C.M."],"identifier":"235c42f5-6281-40f6-a74c-1b4eb29c78b1","incomingCitationCount":0,"keyword":["Great Britain","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Mapping"],"licence":"Non-Open government licence","lineage":"The 2007 version of the ITE Land Classification was developed from earlier classifications from 1990 and 1998 which used environmental data from all 240,000 km squares in GB to create the stratifications. It contains 45 classes or strata, distributed across Great Britain. Each stratum consists of areas with similar environmental characteristics. The 2007 classification differs from the 1998 version (40 classes) by splitting classes in England and creating additional classes in Wales. The 1998 version differs from the 1990 version (32 classes) by splitting classes in England and adding additional classes in Scotland.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:39:46.000Z","organisation":["Centre of Ecology and Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2007-05-01T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/235c42f5-6281-40f6-a74c-1b4eb29c78b1"],"resourceType":"Service","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This service is a representation of the Land Classification of Great Britain. The Land Classification is a classification of sets of environmental strata (land classes) to be used as a basis for ecological survey. The classification was originally developed by the Institute…","state":"published","title":"ITE land classification of Great Britain web map service","topic":["0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"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":["Queen's University Belfast"],"authorFamilyName":["Bach","Emmerson"],"authorFullName":["Bach, L.L.","Emmerson, M."],"authorGivenName":["L.L.","M."],"authorOrcid":["0000-0002-5483-8891","0000-0003-1034-8572"],"authorRor":["https://ror.org/00hswnk62"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details larger mobile fish and macrofaunal abundance across six intertidal sites in the winter and summer of 2013, sampled using fyke nets. The data provide a quantitative measure of larger mobile invertebrate and fish species present in fyke nets caught over two executive tidal cycles at three sites in Essex, South East England and three more sites in Morecambe Bay, North West England. At each site, 22 sampling quadrats were placed on the mud flat covering 4 spatial scales. At each of these, unbaited fyke nets were deployed perpendicular to the shore over two tidal cycles. Upon removal, the species were identified to species level and individuals counted. For each species wet weight (g) was calculated.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Bach","Emmerson"],"fullName":["Bach, L.L.","Emmerson, M."],"funder":["Natural Environment Research Council"],"givenName":["L.L.","M.","Mark"],"grant":["NE/J015644/1"],"identifier":"778ac3e5-a796-46a0-8390-0b6527598d8b","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","United Kingdom","Biodiversity","Carcinus maenas","Platichthys flesus"],"keywordsOther":["Carcinus maenas","Platichthys flesus"],"keywordsPlace":["Morecambe Bay","Essex","United Kingdom"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). At each of these, one fyke net was deployed perpendicular to the shore and over the course of two tidal cycles. The fyke net was a five hoop double fyke net (mesh size: 22mm knot to knot, 8m leader, 0.5m hoop).\n","locations":["POLYGON((0.826 51.687, 0.826 51.856, 1.005 51.856, 1.005 51.687, 0.826 51.687))"],"metadataDate":"2026-09-15T08:43:31.000Z","orcid":["0000-0002-5483-8891","0000-0003-1034-8572"],"organisation":["Queen's University Belfast","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/778ac3e5-a796-46a0-8390-0b6527598d8b","10.5285/778ac3e5-a796-46a0-8390-0b6527598d8b","doi:10.5285/778ac3e5-a796-46a0-8390-0b6527598d8b"],"resourceType":"Dataset","rightsHolder":["Queen's University Belfast"],"ror":["https://ror.org/00hswnk62","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details larger mobile fish and macrofaunal abundance across six intertidal sites in the winter and summer of 2013, sampled using fyke nets. The data provide a quantitative measure of larger mobile invertebrate and fish species present in fyke nets caught…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) larger mobile macrofaunal abundance, biomass and species richness from fyke netting in mudflat habitats","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"availability":"Unknown","catalogue":"eidc","description":"Countryside Survey is a unique study or \"audit\" of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and studied using rigorous scientific methods, allowing us to compare results from later surveys with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the countryside over time. A series of reports have been published outlining the main findings for UK and individual countries, most recently in 2007. This collection belongs to a new phase of Countryside Survey which has adopted a rolling program of monitoring as of 2019 (as the UKCEH Countryside Survey/UKCEH-CS). The first 5 year cycle of the rolling programme dates from 2019-2023 (with some pilot sites done in 2018). This work was partly supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1. Additional data was collected for hedgerows during this time period, funded by DEFRA/Natural England.","documentType":"GEMINI_DOCUMENT","identifier":"450b8dce-03dd-412f-aa77-bfe7726bc6f2","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","vegetation","habitat","Countryside Survey"],"keywordsOther":["vegetation","habitat","Countryside Survey"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","metadataDate":"2026-07-24T21:16:15.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-13T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/450b8dce-03dd-412f-aa77-bfe7726bc6f2"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Countryside Survey is a unique study or \"audit\" of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and studied using rigorous scientific methods, allowing us to compare results…","state":"published","title":"Countryside Survey 2018-2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Keele University","Butterfly Conservation","Rothamsted Research"],"authorFamilyName":["Harrower","Bell","Botham","Fox","Kruger","Roy","Shortall","Isaac"],"authorFullName":["Harrower, C.A.","Bell, J.R.","Botham, M.S.","Fox, R.","Kruger, T.","Roy, D.B.","Shortall, C.R.","Isaac, N.J.B."],"authorGivenName":["C.A.","J.R.","M.S.","R.","T.","D.B.","C.R.","N.J.B."],"authorOrcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-7175-5393","0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/00340yn33","https://ror.org/05jg03a59","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains annual abundance indices and trends in abundance for 477 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2021. The abundance indices are trends calculated using Generalized Abundance Index (GAI) models. The trends are presented as Annual Growth Rates (AGR), and the total percentage changes over the time series for each species are also provided. The indices and trends include 95% confidence limits estimated via bootstrapping. Abundance indices and trends are presented for the entire network of traps across Britain, Ireland, and the Channel Islands, as well as country level analyses for England, Scotland, and Wales.","documentType":"GEMINI_DOCUMENT","familyName":["Harrower","Bell","Botham","Fox","Kruger","Roy","Shortall","Isaac"],"fullName":["Harrower, C.A.","Bell, J.R.","Botham, M.S.","Fox, R.","Kruger, T.","Roy, D.B.","Shortall, C.R.","Isaac, N.J.B."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["C.A.","J.R.","M.S.","R.","T.","D.B.","C.R.","N.J.B."],"identifier":"75161449-1382-42a4-bb91-58835740cc75","incomingCitationCount":0,"keyword":["England","Scotland","Wales","Britain","Ireland","Channel Islands","Biodiversity","moth","moth trends","abundance","Rothamsted"],"keywordsOther":["moth","moth trends","abundance","Rothamsted"],"keywordsPlace":["England","Scotland","Wales","Britain","Ireland","Channel Islands"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Moth count data from the light traps is submitted to Rothamsted Research where it undergoes some standard QA steps to check for species records are appropriate for the site and time of year. The Rothamsted moth count data was used to produce abundance indices and associated trends using Generalised Abundance Index GAI models. The analysis results were reviewed to exclude results for species showing pronounced issues, i.e. where the indices across a significant proportion of the time series had exceptionally wide confidence intervals and or were based on very sparse data.","locations":["POLYGON((-11.938 48.702, -11.938 62.674, 2.549 62.674, 2.549 48.702, -11.938 48.702))"],"metadataDate":"2026-07-25T06:52:58.000Z","orcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-7175-5393","0000-0002-4869-8052"],"organisation":["UK Centre for Ecology & Hydrology","Keele University","Butterfly Conservation","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75161449-1382-42a4-bb91-58835740cc75","10.5285/75161449-1382-42a4-bb91-58835740cc75","doi:10.5285/75161449-1382-42a4-bb91-58835740cc75"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/00340yn33","https://ror.org/05jg03a59","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains annual abundance indices and trends in abundance for 477 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2021. The abundance indices…","state":"published","temporalExtentText":"Data collected from 1968 to 2021","title":"Annual abundance indices and trends for moths in Britain and Ireland from the Rothamsted Insect Survey light-trap network, 1968-2021, including country-level results for England, Scotland and Wales","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Royal Botanic Gardens, Kew ","Instituto de Investigaciones de la Amazonía Peruana (IIAP)","Wildlife Conservation Society Peru (WCS)","Servicio Nacional de Áreas Naturales Protegidas por el Estado (SERNANP)"],"authorFamilyName":["Honorio Coronado","Grandez Rios","Isasi-Catalá","Ramirez Chávez"],"authorFullName":["Honorio Coronado, E.N.","Grandez Rios, J.M.","Isasi-Catalá, E.","Ramirez Chávez, J."],"authorGivenName":["Euridice N","Julio M","Emiliana","Jacqueline"],"authorOrcid":["0000-0003-2314-590X","0000-0001-9152-1167"],"authorRor":["https://ror.org/00ynnr806","https://ror.org/010ywy128"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the abundance of Mauritia flexuosa sampled in palm swamps managed by the communities of Veinte de Enero and Parinari in Loreto, Peru. Fieldwork was undertaken in August and September 2022 and in August 2023. The data includes abundance data from established 40 forest plots, each 20 m × 100 m, with 5 to 13 plots per management area to quantify the ecological health of each site. In each plot, all individuals of M. flexuosa ≥0.4 m tall were counted and classified into three size classes: short saplings (0.4-1.49 m total height), tall saplings (≥1.5 m total height and without stem or with stem height <1.3 m), and pole stems (≥4 m total height and with stem height ≥1.3 m). For each pole stem, life stage as juvenile (<15 m total height), subadult (≥15 m total height without flowers or fruits), or male/female adult (≥15 m total height with inflorescences or infructescences) was recorded. Sex, the number of racemes with fruits for each female adult individual, and peat thickness were also measured.  M. flexuosa populations were assessed to see if they can recover following the introduction of climbing instead of felling the palms for fruit harvesting. \n\nThe dataset was collected in collaboration with the Instituto de Investigaciones de la Amazonia Peruana (IIAP), the Wildlife Conservation Society (WCS), and the Servicio Nacional de Áreas Naturales Protegidas del Perú (SERNANP). This work was supported by the Natural Environment Research Council (Grants NE/V018760/1 and NE/V018760/2).","documentType":"GEMINI_DOCUMENT","familyName":["Honorio Coronado","Grandez Rios","Isasi-Catalá","Ramirez Chávez"],"fullName":["Honorio Coronado, E.N.","Grandez Rios, J.M.","Isasi-Catalá, E.","Ramirez Chávez, J.","Euridice Nora Honorio Coronado"],"funder":["Natural Environment Research Council"],"givenName":["Euridice N","Julio M","Emiliana","Jacqueline"],"grant":["NE/V018760/1","NE/V018760/2"],"identifier":"6d116530-2c6a-4f28-8d42-65100a582ca1","incomingCitationCount":0,"keyword":["Environmental survey","Phenology","sustainable forest management","natural regeneration","fruit","Mauritia flexuosa"],"keywordsOther":["sustainable forest management","natural regeneration","fruit","Mauritia flexuosa"],"keywordsTheme":["Environmental survey","Phenology"],"licence":"Open government licence","lineage":"Location of each corner of the plot was recorded using a handheld GPS. Fieldwork was undertaken in August and September 2022 and August 2023. The census was carried out before fruit harvesting, except in San Juan, where fruit harvesting had begun a few days earlier. In each plot, we counted all individuals of M. flexuosa ≥0.4 m tall and classified them into three size classes: short saplings (0.4-1.49 m total height), tall saplings (≥1.5 m total height and without stem or with stem height <1.3 m), and pole stems (≥4 m total height and with stem height ≥1.3 m). All seedlings <0.4 m were counted in a subplot of 5 m × 100 m. For each pole stem, we recorded the life stage as juvenile (<15 m total height), subadult (≥15 m total height without flowers or fruits), or male/female adult (≥15 m total height with inflorescences or infructescences). The sex of each adult was assessed by observing reproductive structures either on the palms using binoculars or on the ground around the base of the stem. We counted the number of racemes with fruits for each female adult individual. Peat thickness was measured in the centre of each plot using a stick. Peat was identified in the field as a substrate consisting of predominantly wet, partially decomposed organic matter of mid to dark brown colour and at least 30 cm thick. Total height of saplings was estimated using a stick with marks at 0.4 and 1.5 m, while the total height of pole stems was measured using a Suunto clinometer. Binoculars (Bushnell 40X60) were used to determine the sex of adult palms in the field. A protocol to identify the different palm sizes was developed to ensure consistency in data collection among field team members. Sites were selected with local community members implementing the management plans and were checked against Landsat imagery in the field.","locations":["POLYGON((-74.517 -4.9, -74.517 -4.583, -73.8 -4.583, -73.8 -4.9, -74.517 -4.9))"],"metadataDate":"2026-09-15T07:36:47.000Z","orcid":["0000-0003-2314-590X","0000-0001-9152-1167"],"organisation":["Royal Botanic Gardens, Kew ","Instituto de Investigaciones de la Amazonía Peruana (IIAP)","Wildlife Conservation Society Peru (WCS)","Servicio Nacional de Áreas Naturales Protegidas por el Estado (SERNANP)","Royal Botanic Gardens, Kew","NERC EDS Environmental Information Data Centre","University of St Andrews"],"publicationDate":"2026-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d116530-2c6a-4f28-8d42-65100a582ca1","10.5285/6d116530-2c6a-4f28-8d42-65100a582ca1","doi:10.5285/6d116530-2c6a-4f28-8d42-65100a582ca1"],"resourceType":"Dataset","rightsHolder":["University of St Andrews","Royal Botanic Gardens, Kew"],"ror":["https://ror.org/00ynnr806","https://ror.org/010ywy128","https://ror.org/04xw4m193","https://ror.org/02wn5qz54"],"shortenedDescription":"This dataset contains information on the abundance of Mauritia flexuosa sampled in palm swamps managed by the communities of Veinte de Enero and Parinari in Loreto, Peru. Fieldwork was undertaken in August and September 2022 and in August 2023. The data includes abundance…","state":"published","supplementalDescription":["Honorio Coronado, E. N., Grández Rios, J., del Águila Pasquel, J., Flores Llampazo, G., Córdova Oroche, C. J., Reyna Huaymacari, J., Hidalgo Pizango, C. G., Freitas Alvarado, L., Pipa Murayari, U., Isla Reátegui, G., López Álvarez, C., Loja Aleman, E., Isasi‐Catalá, E., Gutierrez‐Sotelo, J., Draper, F. C., del Aguila Villacorta, M., Baker, T. R., del Castillo Torres, D., de la Cruz Gamarra, K., ... Roucoux, K. H. (2025). Long‐term interventions by conservation and development projects support successful recovery of tropical peatlands in Amazonia. People and Nature, 7(4), 871-886."],"temporalExtentText":"Data collected from 2022 to 2023","title":"Abundance of Mauritia flexuosa from managed palm swamp sites in Loreto, Peru, 2022-2023","topic":["0/Environmental survey/","0/Phenology/"],"version":1.0,"view":["public","matwig","jashun"]},{"authorAffiliation":["Newcastle University","Universitas Jenderal Soedirman"],"authorFamilyName":["Birkinshaw","Suroso","Kilsby"],"authorFullName":["Birkinshaw, S.J.","Suroso, S.","Kilsby, C.K."],"authorGivenName":["S.J.","S.","C.K."],"authorOrcid":["0000-0003-4989-7915"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","TIFF"],"description":"The dataset contains model output from the CityCAT hydrodynamic model showing maximum water depths in Jakarta, Indonesia, during the January/February 2007 flood. \n\nThe hourly rainfall and hourly lateral inflow boundary conditions from rivers used to obtain the flooding depths are also included.","documentType":"GEMINI_DOCUMENT","familyName":["Birkinshaw","Suroso","Kilsby"],"fullName":["Birkinshaw, S.J.","Suroso, S.","Kilsby, C.K.","Birkinshaw, S."],"funder":["Natural Environment Research Council"],"givenName":["S.J.","S.","C.K.","Stephen"],"grant":["NE/S003274/1"],"identifier":"8e58f0bb-3ff1-41e8-b8f4-380983ec68bc","incomingCitationCount":0,"keyword":["Indonesia","Jakarta","Hydrological modelling","Hydrodynamic modelling ","modelling","flooding"],"keywordsOther":["Hydrological modelling","Hydrodynamic modelling ","modelling","flooding"],"keywordsPlace":["Indonesia","Jakarta"],"licence":"Open government licence","lineage":"Rainfall data was obtained from hourly and daily measurements with the daily rainfall disaggregated to hourly values. River lateral inflow boundary conditions was obtained from the Shetran hydrological model of the three upstream catchments calibrated against measured discharge data. DEM data in CityCAT was obtained from the  aw3d30 DEM dataset and river channels obtained from OpenSteetMap. ","locations":["POLYGON((106.5 -6.6, 106.5 -6, 107.2 -6, 107.2 -6.6, 106.5 -6.6))"],"metadataDate":"2026-07-25T08:42:57.000Z","orcid":["0000-0003-4989-7915"],"organisation":["Newcastle University","Universitas Jenderal Soedirman","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8e58f0bb-3ff1-41e8-b8f4-380983ec68bc","10.5285/8e58f0bb-3ff1-41e8-b8f4-380983ec68bc","doi:10.5285/8e58f0bb-3ff1-41e8-b8f4-380983ec68bc"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"The dataset contains model output from the CityCAT hydrodynamic model showing maximum water depths in Jakarta, Indonesia, during the January/February 2007 flood. \n\nThe hourly rainfall and hourly lateral inflow boundary conditions from rivers used to obtain the flooding…","state":"published","temporalExtentText":"Data collected from 2007 to 2007","title":"Modelled flood depths and river inflow, with associated rainfall data, in Jakarta for the January-February 2007 flood","version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"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","familyName":["Botham"],"fullName":["Botham, M."],"givenName":["Marc"],"identifier":"6d725dda-b85c-41c3-ae97-5635d736d6d3","incomingCitationCount":0,"keyword":["Lepidoptera","butterflies","Biodiversity"],"keywordsOther":["Lepidoptera","butterflies","Biodiversity"],"licence":"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":"2026-07-25T06:48:57.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d725dda-b85c-41c3-ae97-5635d736d6d3"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"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) 1976-2021 data","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Dundee","ETH Zurich","University of Aberdeen","University of Nottingham","LTS International","Face the Future","University of Edinburgh","Yayasan Sabah Group"],"authorFamilyName":["Cutler","Philipson","Burslem","Foody","Lincoln","Pinard","Snoep","Wheeler","Tangki","Wai"],"authorFullName":["Cutler, M.E.J.","Philipson, C.D.","Burslem, D.F.R.P.","Foody, G.M.","Lincoln, P.","Pinard, M.A.","Snoep, M.","Wheeler, C.E.","Tangki, H.","Wai, Y.S."],"authorGivenName":["M.E.J.","C.D.","D.F.R.P.","G.M.","P.","M.A.","M.","C.E.","H.","Y.S."],"authorOrcid":["0000-0002-3893-1068","0000-0001-8987-7260","0000-0001-6464-3054","0000-0003-4149-5997"],"authorRor":["https://ror.org/03h2bxq36","https://ror.org/05a28rw58","https://ror.org/016476m91","https://ror.org/01ee9ar58","https://ror.org/00daeq875","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented for Above ground Carbon Density (ACD) estimated from a series of forest census surveys which took place from 1992- 2016 in a mixture of logged and unlogged tropical lowland dipterocarp forest in the Ulu Segama Forest Reserve (USFR) and Danum Valley Conservation Area (DVCA), Sabah, Malaysia. Additional data on logging method, coupe and year of logging is also presented. The USFR comprises of forested land divided into coupes that were each logged once, between 1972 and 1993 using either \"tractor\" or \"high-lead\" methods. Between 1993 and 2004, forest restoration treatments were carried out, including climber cutting and tree planting, annually across logging coupes within the USFR.\n\nThe data-set was compiled from census carried out in three independent plot networks. The first led by researchers from the Universities of Dundee, Aberdeen and Nottingham. The second led by researchers from the University of Aberdeen. The third through the INnoprise FAce PROject INFAPRO project. Between 1992 and 2016 a forest census survey was carried out on at least two occasions in 553 forest plots to determine the rate of ACD accumulation and understand the impact of forest restoration treatments on ACD accumulation. Tree stem diameter, height and identity measurements at each plot were collected by project members and research assistants employed by the SouthEast Asian Rainforest Research Partnership (SEARRP). The ACD carbon estimation and modelling was led by researchers from the Universities of Dundee, ETH Zurich and Aberdeen. The data were compiled and submitted by researchers from the University of Dundee and ETH Zurich.\n\nFunding for the establishment of the original plot networks was provided by the EU-funded INDFORSUS project (ER-BIC18T960102), from New England Electric Systems, National Geographic Society and the Garden Club of America, and from Face the Future Foundation. Funding for the repeated measurements was provided by the NERC \"Spatio-TEmporal Dynamics of Forest Response to ENSO Drought (STEED)\" (NERC grant reference NE/P004806/1) and the Carnegie Trust for the Universities of Scotland funded project\"Changing species diversity and biomass accumulation in conserved and regenerating tropical forests: two decades on\".","documentType":"GEMINI_DOCUMENT","familyName":["Cutler","Philipson","Burslem","Foody","Lincoln","Pinard","Snoep","Wheeler","Tangki","Wai"],"fullName":["Cutler, M.E.J.","Philipson, C.D.","Burslem, D.F.R.P.","Foody, G.M.","Lincoln, P.","Pinard, M.A.","Snoep, M.","Wheeler, C.E.","Tangki, H.","Wai, Y.S."],"funder":["Natural Environment Research Council"],"givenName":["M.E.J.","C.D.","D.F.R.P.","G.M.","P.","M.A.","M.","C.E.","H.","Y.S."],"grant":["NE/P004806/1"],"identifier":"a75e6371-a931-4676-9199-d1f5af565ab2","incomingCitationCount":1,"keyword":["Danum Valley Conservation Area","Sabah","Malaysia","Borneo","Tropical lowland dipterocarp forest","tropical forest"],"keywordsOther":["Tropical lowland dipterocarp forest","tropical forest"],"keywordsPlace":["Danum Valley Conservation Area","Sabah","Malaysia","Borneo"],"licence":"Open government licence","lineage":"Between 1992 and 2016 a forest census survey was carried out  in three independent plot networks on at least two occasions to determine the rate of Aboveground Carbon Density (ACD). Tree stem diameter (DBH), height and identity measurements at each plot were collected by project members and research assistants employed by the SouthEast Asian Rainforest Research Partnership (SEARRP). Data were recorded onto field sheets and transposed into Excel spreadsheets. The ACD carbon estimation was calculated using allometric equations based on DBH measured at 1.3 metres, tree height and wood density  The data were compiled and submitted by researchers from the University of Dundee and ETH Zurich as a comma separated value file for deposit into the EIDC.","locations":["POLYGON((117.079 4.357, 117.079 5.583, 118.309 5.583, 118.309 4.357, 117.079 4.357))"],"metadataDate":"2026-07-25T13:19:41.000Z","orcid":["0000-0002-3893-1068","0000-0001-8987-7260","0000-0001-6464-3054","0000-0003-4149-5997"],"organisation":["University of Dundee","ETH Zurich","University of Aberdeen","University of Nottingham","LTS International","Face the Future","University of Edinburgh","Yayasan Sabah Group","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a75e6371-a931-4676-9199-d1f5af565ab2","10.5285/a75e6371-a931-4676-9199-d1f5af565ab2","doi:10.5285/a75e6371-a931-4676-9199-d1f5af565ab2"],"resourceType":"Dataset","rightsHolder":["University of Dundee"],"ror":["https://ror.org/03h2bxq36","https://ror.org/05a28rw58","https://ror.org/016476m91","https://ror.org/01ee9ar58","https://ror.org/00daeq875","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Data are presented for Above ground Carbon Density (ACD) estimated from a series of forest census surveys which took place from 1992- 2016 in a mixture of logged and unlogged tropical lowland dipterocarp forest in the Ulu Segama Forest Reserve (USFR) and Danum Valley…","state":"published","temporalExtentText":"Data collected from 1992 to 2016","title":"Aboveground carbon density plots from a logged forest, Danum Valley, Borneo, 1992-2016","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Swansea University","University of Oldenburg","University of Glasgow","Technische Universität Dresden","KU Leuven"],"authorFamilyName":["Ladd","Balke","Vovides","Christin-Wimmler","Schwarz"],"authorFullName":["Ladd, C.","Balke, T.","Vovides, A.","Christin-Wimmler, M.","Schwarz, C."],"authorGivenName":["Cai","Thorsten","Alejandra","Marie","Christian"],"authorOrcid":["0000-0001-5437-6474","0000-0001-7733-5069","0000-0002-3293-5770","0000-0002-4542-6764","0000-0003-3417-2575"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/00vtgdb53","https://ror.org/05f950310"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains acceleration data for seven 'Mini Buoys' (low-cost open-source bottom-mounted float sensors for measuring inundation duration, current velocity, and wave orbital velocity from acceleration data) and local water levels used in a pilot study to determine the effect of weight and tether length on the sensitivity of the B4+ Mini Buoy to detecting hydrodynamics.\n\nAdditional datasets provided are used for deriving near-bottom wave orbital velocities using two methods: linear wave theory and direct velocity measurements. Both methods were then used to compare calibrations between velocity and acceleration data gathered by low-cost and open-source bottom-mounted floats called 'Mini Buoys'. The dataset contains water velocity data gathered by Acoustic Doppler Velocimeters, and acceleration data gathered from the B4+ Mini Buoy design.\n\nFurthermore, a dataset is provided for Mini Buoy calibration, which uses the drag-tilt principle to infer hydrodynamics from acceleration data. The dataset contains acceleration data gathered from three 'Mini Buoy' designs ('B4', 'B4+', and 'Pendant'), alongside water level, current velocity, and wave orbital velocity measured from a range of commercially-available sensors, in order to build calibration curves for inferring hydrodynamics from acceleration data.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Balke","Vovides","Christin-Wimmler","Schwarz"],"fullName":["Ladd, C.","Balke, T.","Vovides, A.","Christin-Wimmler, M.","Schwarz, C.","Cai Ladd"],"funder":["Natural Environment Research Council"],"givenName":["Cai","Thorsten","Alejandra","Marie","Christian"],"grant":["NE/S008926/1"],"identifier":"bdd3b831-0f66-4593-a141-dee0784145e1","incomingCitationCount":0,"keyword":["Environmental survey","Modelling","Mini-buoy","Low-cost sensor","Calibration","Inundation duration","Current velocity","Wave orbital velocity","Acoustic Doppler Velocimeter","Linear wave theory","Representative bottom orbital velocity"],"keywordsOther":["Mini-buoy","Low-cost sensor","Calibration","Inundation duration","Current velocity","Wave orbital velocity","Acoustic Doppler Velocimeter","Linear wave theory","Representative bottom orbital velocity"],"keywordsTheme":["Environmental survey","Modelling"],"licence":"Open government licence","lineage":"Nine B4+ Mini Buoys, each sampling acceleration values along the y-axis at 1 Hz, were deployed adjacent to a water level (pressure) logger (In-Situ Rugged TROLL 100) on the tidal flat in front of Caerlaverock saltmarsh, Solway Firth, Scotland (54°58'05\"N, 3°31'58\"W) between the 15th and 24th of September 2020. Prior to deployment and after retrieving them, the loggers were inserted into a bucket of water for 1 minute to determine logger position in the tube. Each logger was fitted with different weights of ballast and different tether lengths. The pressure logger was set to sample at 1-minute intervals. Unfortunately, two loggers were lost during the deployment. Data to build a calibration between wave orbital velocity and acceleration was gathered at Caerlaverock, Scotland (54°58′05′′ N, 3°31′58′′ W) and Black Scar, Wales (51°45′54′′ N, 4°26′12′′ W). Data to build a calibration between hydrodynamics (inundation duration, current velocity, and wave orbital velocity) and acceleration was gathered at Percut Sei Tuan, Indonesia (3°43′22′′ N, 98°46′15′′ E), Caerlaverock, Scotland (54°58′05′′ N, 3°31′58′′ W), Black Scar, Wales (51°45′54′′ N, 4°26′12′′ W), and Skinflats, Scotland (56°03′22′′ N, 3°43′60′′ W) for three designs: the 'B4', 'B4+', and 'Pendant'.\n\nPlease refer to the metadata sheet for further details of data collection and processing.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T13:25:27.000Z","orcid":["0000-0001-5437-6474","0000-0001-7733-5069","0000-0002-3293-5770","0000-0002-4542-6764","0000-0003-3417-2575"],"organisation":["Swansea University","University of Oldenburg","University of Glasgow","Technische Universität Dresden","KU Leuven","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bdd3b831-0f66-4593-a141-dee0784145e1","10.5285/bdd3b831-0f66-4593-a141-dee0784145e1","doi:10.5285/bdd3b831-0f66-4593-a141-dee0784145e1"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/00vtgdb53","https://ror.org/05f950310","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains acceleration data for seven 'Mini Buoys' (low-cost open-source bottom-mounted float sensors for measuring inundation duration, current velocity, and wave orbital velocity from acceleration data) and local water levels used in a pilot study to determine…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Development and calibration data of the B4+ Mini Buoy design","topic":["0/Environmental survey/","0/Modelling/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of the West of Scotland","University of Strathclyde","Indian Institute of Technology Bombay"],"authorFamilyName":["Rodgers","Henriquez","Mooney","Mukherji"],"authorFullName":["Rodgers, K.","Henriquez, F.","Mooney, R.","Mukherji, S."],"authorGivenName":["K.","F.","R.","S."],"authorOrcid":["0000-0001-6934-6892","0000-0002-5534-1019","0000-0003-2426-0600","0000-0001-5722-3369"],"authorRor":["https://ror.org/04w3d2v20","https://ror.org/00n3w3b69","https://ror.org/02qyf5152"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes a range of determinants present in sediments and water at 8 locations along the Thane River, Vashi Creek, Mumbai between October 2021 and November 2023.  \nVariables measured include geochemical parameters pH, Ec, OM, MC, LOI, TOC, potentially toxic elements; Al, As, Al, Ca, Cd, Co, Cr, Cu, Fe, Mg, Mn, Ni, Pb, Sn, Se, V, Zn, and anions; fluoride, nitrite, bromide, nitrate, phosphate, and sulphate. \nData also includes antibiotic quantification within the Creek over the same time point. Data includes quantity of Azithromycin, Ciprofloxacin, Enrofloxacin, Erythromycin, Levofloxacin, Linezolid, Oxacillin, Penicillin, and Sulfamethazine.","documentType":"GEMINI_DOCUMENT","familyName":["Rodgers","Henriquez","Mooney","Mukherji"],"fullName":["Rodgers, K.","Henriquez, F.","Mooney, R.","Mukherji, S."],"funder":["Natural Environment Research Council"],"givenName":["K.","F.","R.","S."],"grant":["NE/T012986/1"],"identifier":"b22b914c-e2fc-4298-879a-1bd24f242b3c","incomingCitationCount":0,"keyword":["Vashi Creek","Mumbai","sediment","water","CETP","Potentially toxic elements","Physicochemical parameters","antibiotic"],"keywordsOther":["sediment","water","CETP","Potentially toxic elements","Physicochemical parameters","antibiotic"],"keywordsPlace":["Vashi Creek","Mumbai"],"licence":"Open government licence","lineage":"Samples were collected in Vashi creek along from a chemical effluent treatment plant (CETP). Surface sediments were grabbed using a Van Veen grab sampler. Water was taken 1 meter above the sediment. \n\nSpecific sampling dates: 7/10/21, 8/4/22, 20/01/23, 18/04/2023, 13/11/23\n\nSamples were then screened for antibiotics and geochemical parameters at IIT Bombay, or stabilised and transported to Scotland for metal analysis. \n\nAntibiotics were quantified using an LC-MS orbitrap. Metals quantified using ICP-AES. ","locations":["POLYGON((72.762 18.857, 72.762 19.384, 73.114 19.384, 73.114 18.857, 72.762 18.857))"],"metadataDate":"2026-07-25T12:53:56.000Z","orcid":["0000-0001-6934-6892","0000-0002-5534-1019","0000-0003-2426-0600","0000-0001-5722-3369"],"organisation":["University of the West of Scotland","University of Strathclyde","Indian Institute of Technology Bombay","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b22b914c-e2fc-4298-879a-1bd24f242b3c","10.5285/b22b914c-e2fc-4298-879a-1bd24f242b3c","doi:10.5285/b22b914c-e2fc-4298-879a-1bd24f242b3c"],"resourceType":"Dataset","rightsHolder":["University of the West of Scotland"],"ror":["https://ror.org/04w3d2v20","https://ror.org/00n3w3b69","https://ror.org/02qyf5152","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes a range of determinants present in sediments and water at 8 locations along the Thane River, Vashi Creek, Mumbai between October 2021 and November 2023.  \nVariables measured include geochemical parameters pH, Ec, OM, MC, LOI, TOC, potentially toxic…","state":"published","temporalExtentText":"Data collected from 2021 to 2023","title":"Geochemical characterisation data of sediments and water, and antibiotic profile of water collected along Vashi creek, Mumbai, 2021-2023","version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"This series comprises biological, ecological and physical data from the Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) project. The CBESS project addressed the relationship between biodiversity and ecosystem service flows for selected salt marsh and mudflat habitats. CBESS ran from 2012 to 2016 and involved nine universities, two non-government organisations and three statutory bodies, all concerned with the ecology and management of coastal systems. Data was collected from three salt marsh and mudflat sites in Morecambe Bay, North West England and a further three on the Essex coast, South East England in the winter and summer of 2013. Measurements at each site included comprehensive biological, ecological and physical data collected from 22 quadrats arranged over a hierarchy of spatial scales (1m, 10m, 100m).\n\nThis data series was collected as part of the CBESS programme (NE/J015644/1), under the Biodiversity and Ecosystem Service Sustainability (BESS) initiative. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Paterson"],"fullName":["Paterson, D.M."],"givenName":["D.M."],"identifier":"413dc2b2-f38b-4f8a-a198-f78b07534fb8","incomingCitationCount":0,"keyword":["Essex","Morecambe Bay","BESS","CBESS","saltmarsh","mudflat"],"keywordsOther":["saltmarsh","mudflat"],"keywordsPlace":["Essex","Morecambe Bay"],"keywordsTheme":["BESS","CBESS"],"licence":"Non-Open government licence","lineage":"See the lineage statements for individual datasets for quality assurance details.","metadataDate":"2026-07-24T21:14:51.000Z","organisation":["University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-01T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/413dc2b2-f38b-4f8a-a198-f78b07534fb8"],"resourceType":"Aggregation","ror":["https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"This series comprises biological, ecological and physical data from the Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) project. The CBESS project addressed the relationship between biodiversity and ecosystem service flows for selected salt marsh and…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Biological, ecological and physical data collected from salt marsh and mudflat sites on the West and East coast of England during the winter and summer of 2013 by the Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) project","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Pescott"],"authorFullName":["Pescott, O.L."],"authorGivenName":["O.L."],"authorOrcid":["0000-0002-0685-8046"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Plant occupancy data from a survey of a disturbed urban habitat. The survey is an occupancy study of the vascular plants of 16 500 x 500 m (0.25 km2) urban grid cells, stratified by quadrant at the scale of the focal city (Sheffield, England) in order to provide more even coverage. Few systematic, randomised surveys at fine spatial grain exist for urban habitats, and even fewer of these surveys are in the public domain. This study was designed as a systematic florula (i.e. a small flora) of a relatively discrete urban habitat in order to provide a baseline that would enable robust insights into future environmental change. In addition, the dataset is likely to be useful for comparative studies of plant traits, particularly those of highly disturbed habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Pescott"],"fullName":["Pescott, O.L.","Pescott, O."],"givenName":["O.L.","Oliver"],"identifier":"705d6e39-9b04-497d-b8e8-4f617f3a6477","incomingCitationCount":0,"keyword":["Sheffield","urban","quadrats","pavement"],"keywordsOther":["urban","quadrats","pavement"],"keywordsPlace":["Sheffield"],"licence":"Open government licence","lineage":"All plants identified in this study were identified by the author. Plant specimens which could not be named in the field were keyed using the current standard Flora for Britain and Ireland (Stace 2010) or a vegetative key (Poland and Clement 2009). In a very small number of cases where the available material was not sufficient for certain identification, specimens were recorded to genus level.","locations":["POLYGON((-1.544 53.32, -1.544 53.437, -1.339 53.437, -1.339 53.32, -1.544 53.32))"],"metadataDate":"2026-09-15T08:45:17.000Z","orcid":["0000-0002-0685-8046"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-09-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/705d6e39-9b04-497d-b8e8-4f617f3a6477","10.5285/705d6e39-9b04-497d-b8e8-4f617f3a6477","doi:10.5285/705d6e39-9b04-497d-b8e8-4f617f3a6477"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Plant occupancy data from a survey of a disturbed urban habitat. The survey is an occupancy study of the vascular plants of 16 500 x 500 m (0.25 km2) urban grid cells, stratified by quadrant at the scale of the focal city (Sheffield, England) in order to provide more…","state":"published","supplementalDescription":["Pescott, O. (2016) A systematic florula of a disturbed urban habitat: Pavements of Sheffield, England.\nBiodiversity Data Journal 4: e10658 "],"temporalExtentText":"Data collected from 2012 to 2014","title":"A systematic florula of a disturbed urban habitat, Sheffield, England: Plant occupancy data","version":1.0,"view":["public","hajd"]},{"availability":"Unknown","catalogue":"eidc","description":"Land Cover Map 2022 (LCM2022) is a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2022. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2022.\n\nLCM2022 includes four geospatial datasets each for Great Britain and Northern Ireland:\n - 10 m Classified Pixel dataset, classified to create a single mosaic of national cover\n - Land Parcel datasets which are the result of intersecting the 10 m Classified Pixel dataset with the UKCEH Land Parcel Spatial Framework to generate land parcel attributes\n - 25 m Pixel Rasterised Land Parcel datasets: the result of rasterising the Land Parcel dataset into 25 m pixels\n - 1 km summary raster products, summarising dominant land cover class and percentage coverage of each land cover class\n\nLCM2022 is the tenth UK land cover map produced by UKCEH. Previous versions are LCM1990, 2000, 2007, 2015, 2017, 2018, 2019, 2020, and 2021.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"a413d1c9-5c2a-4864-a3ff-2b9f764ec32d","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T13:17:49.000Z","organisation":["UK Centre for Ecology & Hydrology"],"publicationDate":"2024-06-29T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a413d1c9-5c2a-4864-a3ff-2b9f764ec32d"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"Land Cover Map 2022 (LCM2022) is a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2022. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2022.\n\nLCM2022 includes four geospatial…","state":"published","title":"Land Cover Map 2022","version":1.0,"view":["public","jashun"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}