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The data is not included in the package but can be requested https://erccis.org.uk/requesting-data and the code here can be used to model encounter rates for Common Dolphin, Grey Seal, and Harbour Porpoise using a variety of methods, including calibrated Random Forest models. Data may also be adequate for modelling encounter rates for Bottlenose Dolphin and Basking Shark, although further investigation is required. 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The data were collected in order to determine how the high species richness of decomposer (saprotrophic) fungi and their relative frequencies of occurrence influence the decomposition of organic matter.\nData were collected during a project funded under the NERC Soil Biodiversity Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Deacon","Pryce-Miller","Frankland","Bainbridge","Moore","Robinson","Parekh","Sier"],"fullName":["Deacon, L.J.","Pryce-Miller, E.J.","Frankland, J.C.","Bainbridge, B.W.","Moore, P.D.","Robinson, C.H.","Parekh, N.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["L.J.","E.J.","J.C.","B.W.","P.D.","C.H.","N.","A."],"identifier":"662b8cb3-afca-43c6-a6e8-e56fcf94626b","incomingCitationCount":0,"keyword":["BIOLOG","Sourhope","Scottish borders","Soil","saprotrophic fungi","fungal cultures","upland grassland","grassland"],"keywordsInstrument":["BIOLOG"],"keywordsOther":["saprotrophic fungi","fungal cultures","upland grassland","grassland"],"keywordsPlace":["Sourhope","Scottish borders"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). \n\nData were collected by scientists employed by the Centre for Ecology & Hydrology and the University London and were managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.243 55.468, -2.243 55.48, -2.218 55.48, -2.218 55.468, -2.243 55.468))"],"metadataDate":"2026-09-15T08:37:54.000Z","organisation":["King's College London","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/662b8cb3-afca-43c6-a6e8-e56fcf94626b","10.5285/662b8cb3-afca-43c6-a6e8-e56fcf94626b","doi:10.5285/662b8cb3-afca-43c6-a6e8-e56fcf94626b"],"resourceType":"Dataset","ror":["https://ror.org/0220mzb33","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This set of data comprises substrate utilisation profiles for saprotrophic fungi (using the commercially available BIOLOG plate method) and moisture content data from soils sampled from experimental plots at Sourhope, Scotland.  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The Excel files were organized per year of sampling (2021 and 2022), and each file corresponding to one year contained one tab for each month of the year. From those initial spreadsheets, hydrological data was checked by Ichthion for quality control, and then reorganized at the University of Exeter onto a new spreadsheet compiling all months and years into the single file that is provided here. ","locations":["POLYGON((-80.589 -1.162, -80.589 -0.927, -80.285 -0.927, -80.285 -1.162, -80.589 -1.162))"],"metadataDate":"2026-07-25T06:48:54.000Z","orcid":["0000-0003-2064-7138","0000-0002-2512-3731","0009-0005-3458-9276","0009-0005-8418-5704","0000-0003-3568-8338","0000-0002-7469-2033","0000-0001-7321-2256","0000-0002-3564-2906","0000-0002-7466-6775"],"organisation":["University of Exeter","Pontificia Universidad Católica del Perú ","Ichthion Limited","Pontificia Universidad Católica del Perú","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2","10.5285/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2","doi:10.5285/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/00013q465","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily measurements of river flow velocity (m/s), river discharge (m3/s), river depth (cm), and river width (m) from the Portoviejo River, Ecuador, from years 2021 and 2022. This dataset was generated as part of the NERC funded project 'Reducing…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":"Hydrological data from the Portoviejo River, Ecuador, 2021-2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2019 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\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":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"2f711e25-8043-4a12-ab66-a52d4e649532","incomingCitationCount":1,"keyword":["UK-SCAPE","Land cover","Mapping"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T19:35:11.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f711e25-8043-4a12-ab66-a52d4e649532","10.5285/2f711e25-8043-4a12-ab66-a52d4e649532","doi:10.5285/2f711e25-8043-4a12-ab66-a52d4e649532"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Land Cover Map 2019 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Unknown","catalogue":"eidc","description":"This is a collection of datasets associated with projects \"CONTAIN: Optimising the long term management of invasive species affecting biodiversity and the rural economy using adaptive management\" ( https://gtr.ukri.org/projects?ref=NE/S011641/1 ) and \"Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage\" (UK Global Centre on Biodiversity for Climate, GCBC)  focussed on case-studies covering invasive alien plants, invasive alien vertebrates, and invasive alien vertebrates in Argentina, Brazil, and Chile. Project CONTAIN is described in detail in Lambin et al. (2020). NeoBiota, 59: 119-138 ( https://doi.org/10.3897/neobiota.59.52022 ) and an overview of the GCBC project can be found on page 19 of the 2023 GCBC Evidence Synthesis report  ( https://www.gcbc.org.uk/wp-content/uploads/2023/12/03-DAI103_Evidence-Synthesis-Report_161123_H_01.pdf ).  Funding was provided by project CONTAIN under the Latin American Biodiversity Programme as part of the Newton Fund (NE/S011641/1), with contributions from NERC (UK), the Argentine National Scientific & Technical Research Council (CONICET,-2019-74-APN-DIR#CONICET), the São Paulo Research Foundation (Brazil, FAPESP 2018/14995-8), and the Chilean National Commission for Scientific & Technological Research (CONICYT). Additional support was provided by the project 'Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage' (2022GCBCCONTAIN) funded by the UK Global Centre on Biodiversity for Climate (GCBC), Department for Environment, Food & Rural Affairs (DEFRA). \n\nGiven the broad remit of the project, this collection includes a diversity of datasets from literature reviews, expert-based identification of management priorities and stakeholders, and field and survey data obtained during experiments and field surveys conducted in Argentina, Brazil, and Chile. Please refer to the individual datasets for further details. The relevant case studies are:\n\n1) American mink (Neogale vison) in Argentina and Chile.\n2) Glossy privet (Ligustrum lucidum) in Argentina.\n3) Lodgepole and Monterey pines (Pinus contorta and P. radiata) in Argentina and Chile.\n4) Invasive grasses (Urochloaspp.) in Brazil.\n5) German yellow-jacket (Vespula germanica) in Chile.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S011641/1"],"identifier":"c67b8e26-f3b1-498c-a6ec-d04997e3122f","incomingCitationCount":0,"keyword":["Yungas","Brazil","Agentina","Chile","South America","Environmental survey","Invasive species","environmental decision-making","impact","invasive non-native species"],"keywordsOther":["environmental decision-making","impact","invasive non-native species"],"keywordsPlace":["Yungas","Brazil","Agentina","Chile","South America"],"keywordsTheme":["Environmental survey","Invasive species"],"licence":"Non-Open government licence","locations":["POLYGON((-82.969 -21.757, -82.969 6.315, -33.926 6.315, -33.926 -21.757, -82.969 -21.757))"],"metadataDate":"2026-06-27T19:41:47.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c67b8e26-f3b1-498c-a6ec-d04997e3122f"],"resourceType":"Aggregation","shortenedDescription":"This is a collection of datasets associated with projects \"CONTAIN: Optimising the long term management of invasive species affecting biodiversity and the rural economy using adaptive management\" ( https://gtr.ukri.org/projects?ref=NE/S011641/1 ) and \"Invasive alien…","state":"published","title":"Optimising the long term management of invasive species affecting biodiversity, carbon storage, and the rural economy in South America using adaptive management","topic":["0/Environmental survey/","0/Invasive species/"],"version":1.0,"view":["public","clwe"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Vegetation map of Plynlimon catchments. The vegetation map was created for assisting with identifying soil survey vegetation boundaries, and is not an authoritative vegetation survey. The defined vegetation classes correspond with the classes defined in CEH Land Cover Map 2000 (LCM 2000). LCM2000 was classified using a hierarchical nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats which encompasses the entire range of UK habitats. ","documentType":"GEMINI_DOCUMENT","fdriCatchment":["Upper Severn"],"identifier":"9d7229b3-47c0-4255-8d57-dda863065774","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Upper Severn","Floods and Droughts Digital Research Infrastructure (FDRI)","Land cover","vegetation","soil"],"keywordsOther":["vegetation","soil"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Upper Severn"],"keywordsProject":["Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Land cover"],"licence":"Open government licence","lineage":"Different vegetation classes were digitised on the screen from aerial photography from 2009, of 25 cm resolution, of the area. Then, the digitised map was verified on the ground and amended as needed.","locations":["POLYGON((-3.771 52.432, -3.771 52.55, -3.687 52.55, -3.687 52.432, -3.771 52.432))"],"metadataDate":"2026-09-01T17:38:53.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-04-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1396276770403","CEH:EIDC::1396276770403","https://catalogue.ceh.ac.uk/id/9d7229b3-47c0-4255-8d57-dda863065774"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Vegetation map of Plynlimon catchments. The vegetation map was created for assisting with identifying soil survey vegetation boundaries, and is not an authoritative vegetation survey. The defined vegetation classes correspond with the classes defined in CEH Land Cover…","state":"published","temporalExtentText":"Data collection started in 2013","title":"Plynlimon research catchments: vegetation map","topic":["0/Land cover/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","James","Keenan","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","H.T.","M.A.","M.M.","B.A.","J.B.","P.O.","G.","S.J.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2019 until the end of 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","James","Keenan","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","H.T.","M.A.","M.M.","B.A.","J.B.","P.O.","G.","S.J.","S.C."],"grant":["NE/R016429/1","NE/Y006208/1"],"identifier":"24a87e14-3ab4-4c27-be10-e499ad80804a","incomingCitationCount":0,"keyword":["Lake District","Environmental survey","Water quality","Lake monitoring","lake water temperature","dissolved oxygen","secchi depth","algae","phytoplankton","lake water chemistry"],"keywordsOther":["Lake monitoring","lake water temperature","dissolved oxygen","secchi depth","algae","phytoplankton","lake water chemistry"],"keywordsPlace":["Lake District"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. \nPlease note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\n","locations":["POLYGON((-2.985 54.367, -2.985 54.425, -2.898 54.425, -2.898 54.367, -2.985 54.367))"],"metadataDate":"2026-07-24T19:25:05.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-10-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/24a87e14-3ab4-4c27-be10-e499ad80804a","10.5285/24a87e14-3ab4-4c27-be10-e499ad80804a","doi:10.5285/24a87e14-3ab4-4c27-be10-e499ad80804a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, UK, 2019-2020","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Manchester","James Hutton Institute"],"authorFamilyName":["Johnson","Ardanuy","Taylor"],"authorFullName":["Johnson, D.","Ardanuy, A.","Taylor, A.F.S."],"authorGivenName":["David","A.","A.F.S."],"authorOrcid":["0000-0003-2299-2525","0000-0003-0727-8171"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are derived from Alnus glutinosa plants grown in intact soil cores collected from beneath three co-occurring tree species.  The data describe plant above and below ground biomass, coarse and fine root biomass, colonisation of roots by Frankia and ectomycorrhizal fungi, ecosystem carbon fluxes, capture of 13C from a pulse labelling process, 15N content of leaves, and soil nutrients.  ","documentType":"GEMINI_DOCUMENT","familyName":["Johnson","Ardanuy","Taylor"],"fullName":["Johnson, D.","Ardanuy, A.","Taylor, A.F.S."],"funder":["Natural Environment Research Council"],"givenName":["David","A.","A.F.S.","D."],"grant":["NE/M015653/1","NE/M015653/2"],"identifier":"8816a55a-0e2e-4414-872f-3575170585dc","incomingCitationCount":0,"keyword":["Ectomycorrhiza","carbon flux","nitrogen uptake","soil nutrients","Alnus glutinosa","symbiosis"],"keywordsOther":["Ectomycorrhiza","carbon flux","nitrogen uptake","soil nutrients","Alnus glutinosa","symbiosis"],"licence":"Open government licence","lineage":"Plants were transplanted into cores and grown in a controlled environmental facility. Soil nutrient data was collected from the cores using a combination of ion-exchange probes and acid digestion. A pulse labelling procedure was undertaken to provide 13CO2 to plants, and 3 days later the cores were dismantled and harvested. Analytical facilities were checked for quality control against known standards, and the entire dataset collated and scrutinised for outliers and unusual values.","metadataDate":"2026-07-25T08:39:54.000Z","orcid":["0000-0003-2299-2525","0000-0003-0727-8171"],"organisation":["University of Manchester","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-12-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8816a55a-0e2e-4414-872f-3575170585dc","10.5285/8816a55a-0e2e-4414-872f-3575170585dc","doi:10.5285/8816a55a-0e2e-4414-872f-3575170585dc"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"The data are derived from Alnus glutinosa plants grown in intact soil cores collected from beneath three co-occurring tree species.  The data describe plant above and below ground biomass, coarse and fine root biomass, colonisation of roots by Frankia and ectomycorrhizal…","state":"published","title":"Plant biomass, nutrition, carbon flux and soil nutrients in common alder (Alnus glutinosa) grown on home and away soil from Aberdeenshire, Scotland","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorGivenName":["K.","M.","H.","T.","V.C."],"authorOrcid":["0000-0003-4912-5026","0000-0003-1454-8440"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms.  The samples were analysed for presence of E. coli resistant to amoxicillin, streptomycin, cephalexin, tetracycline and/or ciprofloxacin. Management factors deemed related to pre-weaned calves are included, including antibiotic usage data at farm level.","documentType":"GEMINI_DOCUMENT","familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"givenName":["K.","M.","H.","T.","V.C.","V. C."],"identifier":"808b2b62-14db-4483-b0e6-5f533c007eec","incomingCitationCount":0,"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"This dataset is a subset of the \"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019\" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 51 farms including date, type, eartag numbers of animals in the immediate environment, and descriptive location of sample. 2. Results of microbiological analyses of the samples to identify E. coli resistant to amoxicillin, cephalexin, tetracycline, ciprofloxacin and/or streptomycin. 3. For samples where E. coli resistant to cephalexin were detected, results of laboratory testing for resistance mechanism.  3. For samples where E. coli resistant to cephalexin was detected, results of laboratory testing for resistance mechanism. 4. Questionnaires administered to farmers between Jan 2017 and Jan 2019. These collected demographic and farm management data at the start and end of the data collection periods for each farm, as well as questionnaires around choices of antibiotic administered during the data collection period at the convenience of the participants. 5. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T08:35:38.000Z","orcid":["0000-0003-4912-5026","0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/808b2b62-14db-4483-b0e6-5f533c007eec","10.5285/808b2b62-14db-4483-b0e6-5f533c007eec","doi:10.5285/808b2b62-14db-4483-b0e6-5f533c007eec"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms.  The samples…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Management data and antibiotic resistant E. coli detection in pre-weaned calves on 51 dairy farms, South West England, 2017-2018","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land cover type; the second band gives the probability associated with this land cover. The probability layer is an indicator of uncertainty (rescaled 0 to 100). Low values correspond to low certainty (higher uncertainty). A full description of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S."],"identifier":"78d3824b-2612-4707-ae2e-26f82bdd5dad","incomingCitationCount":1,"keyword":["Great Britain","Biodiversity Action Plan","habitat","map","land cover"],"keywordsOther":["Biodiversity Action Plan","habitat","map","land cover"],"keywordsPlace":["Great Britain"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover classification algorithms generated the 10m classified pixels. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. Land cover was validated by organising the pixel classification into a land parcel framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation. This is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019. Prior to 2017 classified pixels are not available as part of the UKCEH LCM product suite. The classified pixels represent the core dataset from which the remaining products in the LCM2020 suite are derived. These include LCM2020 classified land parcels and the LCM2020 25m rasterised land parcels product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-09-02T10:06:25.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78d3824b-2612-4707-ae2e-26f82bdd5dad","10.5285/78d3824b-2612-4707-ae2e-26f82bdd5dad","doi:10.5285/78d3824b-2612-4707-ae2e-26f82bdd5dad"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Land Cover Map 2020 (10m classified pixels, N. Ireland)","version":1.0,"view":["public","matnic"]},{"altTitle":["Rainf WFD GPCC","Rainfall WFD GPCC"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH forcing data (WFD) is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. \n\nIt was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or dat formats. The data covers land points only and excludes the Antarctica.  Rainf or rainfall rate is the rainfall rate based on the Global Precipitation Climatology Centre (GPCC) bias corrected, undercatch corrected measured in kg/m2/s at 3 hourly resolution averaged over the next 3 hours and at 0.5 x 0.5 degrees spatial resolution. Please note that there is also a WFD Rainf CRU bias corrected dataset, but as the GPCC dataset is the preferred dataset only this rainfall dataset is available from the EIDC. These rainfall datasets contain rainfall data only and need to be combined with the respective WFD snowfall datasets to obtain precipitation data.","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"6b7caa4f-4e35-4c79-aa8e-2e065234a14a","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology"],"keywordsOther":["Land surface modelling","meteorology","hydrology"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T06:47:45.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315215051950","CEH:EIDC::1315215051950","https://catalogue.ceh.ac.uk/id/6b7caa4f-4e35-4c79-aa8e-2e065234a14a"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH forcing data (WFD) is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. \n\nIt was generated as part of the EU FP 6 project…","state":"published","supplementalDescription":["Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E., Österle, H., … Best, M. (2011). Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century. Journal of Hydrometeorology, 12(5), 823–848"],"temporalExtentText":"Data collected from 1900 to 2002","title":"WATCH Forcing Data (WFD) - 20th Century Rainf GPCC (Rainfall GPCC) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Northumbria University","University of Leeds","Swiss Federal Institute for Forest, Snow and Landscape Research","British Antarctic Survey","National University of Singapore","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Bridgewater State University","University of Saskatchewan","University of Innsbruck","Appalachian State University","Servicio Nacional de Meteorología e Hidrología del Perú"],"authorFamilyName":["Fyffe","Potter","Fugger","Orr","Fatichi","Loarte","Medina","Hellström","Bernat","Aubry-Wake","Gurgiser","Perry","Suarez","Quincey","Pellicciotti"],"authorFullName":["Fyffe, C.L.","Potter, E.","Fugger, S.","Orr, A.","Fatichi, S.","Loarte, E.","Medina, K.","Hellström, R.Å.","Bernat, M.","Aubry-Wake, C.","Gurgiser, W.","Perry, L.B.","Suarez, W.","Quincey, D.J.","Pellicciotti, F."],"authorGivenName":["C.L.","E.","S.","A.","K.","R.Å.","M.","C.","W.","L. B.","D.J.","F."],"authorOrcid":["0000-0001-6950-3501","0000-0001-5273-1292","0000-0002-4659-4209","0000-0001-5111-8402","0000-0003-1361-6659","0000-0003-3123-1904","0000-0002-2910-6808","0000-0002-6004-5177","0000-0002-9452-8580","0000-0003-0598-6393","0000-0002-3409-790X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Matlab data","Matlab code"],"description":"Code to compare the mass and energy balance of five Peruvian glaciers, based on outputs from the energy balance model Tethys-Chloris. Also includes code to compare the results of climate sensitivity experiments (where the air temperature and precipitation were varied). The main outputs of the analysis at each of the sites are also stored.","documentType":"GEMINI_DOCUMENT","familyName":["Fyffe","Potter","Fugger","Orr","Fatichi","Loarte","Medina","Hellström","Bernat","Aubry-Wake","Gurgiser","Perry","Suarez","Quincey","Pellicciotti"],"fullName":["Fyffe, C.L.","Potter, E.","Fugger, S.","Orr, A.","Fatichi, S.","Loarte, E.","Medina, K.","Hellström, R.Å.","Bernat, M.","Aubry-Wake, C.","Gurgiser, W.","Perry, L.B.","Suarez, W.","Quincey, D.J.","Pellicciotti, F."],"funder":["Natural Environment Research Council","CONCYTEC"],"givenName":["C.L.","E.","S.","A.","K.","R.Å.","M.","C.","W.","L. 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These input data and code are described in the related dataset ‘The physically-based melt model Tethys-Chloris and meteorological input data for five Peruvian glaciers’. The outputs of the analysis saved in this dataset are a result of running the analysis code provided (the code can be run using the inputs provided in Main_runs_for_analysis to produce the output data). 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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","Riley","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Woiwod","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.","Riley, A.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Woiwod, I.","Wood, C."],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","A. 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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. 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This work partly supported through Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme"],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"f478ea82-a0e9-4778-955b-34c7ebfdd421","incomingCitationCount":1,"keyword":["National Plant Monitoring Scheme (NPMS)","UK-SCAPE","Environmental survey","vegetation","habitat","plant community","environmental monitoring"],"keywordsOther":["vegetation","habitat","plant community","environmental monitoring"],"keywordsProject":["National Plant Monitoring Scheme (NPMS)","UK-SCAPE"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data were collected directly from volunteers into a custom Indicia database system (www.indicia.org.uk) through the NPMS website (www.npms.org.uk) or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:06:39.000Z","organisation":["Unaffiliated","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2021-08-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f478ea82-a0e9-4778-955b-34c7ebfdd421","10.5285/f478ea82-a0e9-4778-955b-34c7ebfdd421","doi:10.5285/f478ea82-a0e9-4778-955b-34c7ebfdd421"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first six years (2015-2020) of the National Plant Monitoring Scheme (NPMS, covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat…","state":"published","temporalExtentText":"Data collected from 2015 to 2020","title":"National Plant Monitoring Scheme survey data (2015-2020)","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["University of Reading","British Geological Society","Environment Agency","Affinity Water","Syngenta"],"authorFamilyName":["Hawkins","Kelly","Loewenthal","Smith","Dudley","Leggatt","Dowman","Oliver","Collins","Clark"],"authorFullName":["Hawkins, C.E.","Kelly, T.J.","Loewenthal, M.","Smith, R.","Dudley, A.","Leggatt, A.","Dowman, S.","Oliver, R.G.","Collins, C.D.","Clark, J.M."],"authorGivenName":["C.E","T.J.","M.","R.","A.","S.","R.G.","C.D.","J.M."],"authorOrcid":["0000-0002-9007-0330","0000-0002-8282-2803","0000-0002-0412-8824"],"authorRor":["https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set comprises of hourly water quality monitoring and flow data of a site within the River Loddon catchment, UK, from September 2017 to September 2018. Parameters measured were temperature, conductivity, pH, ammonium, turbidity, dissolved oxygen, UV-Vis spectral scan from 197-720nm. Daily samples were also taken at 9am GMT and occasional storm samples were taken hourly and then analysed in the laboratory for pH, conductivity, turbidity, total suspended solids, non-purgeable organic carbon, UV-Vis spectral scan from 200-800nm and 12 pesticide concentrations: 2-4-D, Bentazone, Carbendazim, Carbetamide, Chlorotoluron, Clopyralid, MCPA, Mecoprop, Metaldehyde, Propyzamide, Quinmerac and Metazachlor. \n\nThis data was created as part of the TWENTY65 project, funded by the Engineering and Physical Sciences Research Council (Grant number: EP/N010124/1) and with some additional funding from Affinity Water and Syngenta. ","documentType":"GEMINI_DOCUMENT","familyName":["Hawkins","Kelly","Loewenthal","Smith","Dudley","Leggatt","Dowman","Oliver","Collins","Clark"],"fullName":["Hawkins, C.E.","Kelly, T.J.","Loewenthal, M.","Smith, R.","Dudley, A.","Leggatt, A.","Dowman, S.","Oliver, R.G.","Collins, C.D.","Clark, J.M.","Hawkins, C."],"funder":["Engineering and Physical Sciences Research Council"],"givenName":["C.E","T.J.","M.","R.","A.","S.","R.G.","C.D.","J.M.","Charlotte"],"grant":["EP/N010124/1"],"identifier":"331659d7-da72-48a2-9b52-63c003557990","incomingCitationCount":1,"keyword":["Water quality","River Loddon","Temperature","pH","UV - Vis spectral scan","Total suspended solids","2-4-D","2-4-D, Bentazone","Carbendazim","Carbetamide","Chlorotoluron","Clopyralid","MCPA","Mecoprop","Metaldehyde","Propyzamide","Quinmerac ","Metazachlor","turbidity","ammonium","dissolved oxygen"],"keywordsOther":["River Loddon","Temperature","pH","UV - Vis spectral scan","Total suspended solids","2-4-D","2-4-D, Bentazone","Carbendazim","Carbetamide","Chlorotoluron","Clopyralid","MCPA","Mecoprop","Metaldehyde","Propyzamide","Quinmerac ","Metazachlor","turbidity","ammonium","dissolved oxygen"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Water quality and flow data from the Bow Brook, a headwater tributary to the River Loddon. These data were collected via automatic sampling methods and then analysed either by on-site high frequency analysers or via laboratory analysis at the University of Reading and Affinity Water Limited laboratory (Staines-upon-Thames). The daily samples were usually collected weekly, and hourly storm samples were collected as soon as possible, and taken to the laboratory for analysis. Samples were stored in the fridge at 4°C on return to the laboratory and filtered within 48 hours of collection. 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Parameters measured were temperature, conductivity, pH, ammonium, turbidity, dissolved oxygen, UV-Vis spectral…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"High resolution water quality and flow monitoring data coupled with daily and storm samples from the Loddon catchment (Sept 2017-Sept 2018)","topic":["0/Water quality/"],"version":-1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Vihermaa","Waldron"],"authorFullName":["Vihermaa, L.E.","Waldron, S."],"authorGivenName":["L. E.","S."],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are concentrations of different fluvial carbon species (dissolved inorganic carbon, dissolved organic carbon and particulate organic carbon) which form part of the lateral transport of carbon from the terrestrial to aquatic system. This influences the terrestrial carbon balance as well as being a key part of the freshwater carbon cycle. The submission also contains hydrological (stage height, discharge and water temperature) and water chemistry data (pH, conductivity and oxygen saturation). The data were collected from Peruvian rainforest streams within the NERC funded Amazonica project (NE/F005482/1).","documentType":"GEMINI_DOCUMENT","familyName":["Vihermaa","Waldron"],"fullName":["Vihermaa, L.E.","Waldron, S.","Vihermaa, L."],"funder":["Natural Environment Research Council"],"givenName":["L. 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Details are available from the product documentation.\n\nThe 25m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-09-02T10:05:52.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/17223091-ca33-41f8-bd5b-bdd2a222cdae","10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae","doi:10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. 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