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DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1%  agarose gel.\n\n Genotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC 'high' ≥ 0.82; DQC 'low' < 0.82; CR 'high' ≥ 96; CR 'low' < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. 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Two of the sites (FE and FS) have four randomised blocks and the other (FW) has three randomised blocks.\n\nTree height and basal stem diameter were measured at the end of each growing season from 2013 to 2020 for trees growing at two of the field sites (FE and FW) and in 2020 for trees growing at the third (FS). \n\nPhenology assessments were performed in spring at each site from 2015 to 2019 (the survey was not completed in 2020 due to the COVID-19 pandemic).\n","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-05-11T18:25:02.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research","NERC EDS Environmental Information Data Centre","The James Hutton Institute"],"publicationDate":"2022-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c9367fb-ea87-47a1-8257-d9fed54215e7","10.5285/1c9367fb-ea87-47a1-8257-d9fed54215e7","doi:10.5285/1c9367fb-ea87-47a1-8257-d9fed54215e7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Forest Research","The James Hutton Institute"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"Phenotypes (growth and phenology) for Scots pine trees in a long-term common garden trial planted in three sites in Scotland, surveyed annually from 2013 to 2020.","state":"published","title":"Long-term multisite Scots pine trial, Scotland: field phenotypes, 2013-2020, version 2","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of information regarding the abundance of fish species from Windermere, and includes long-term data on Arctic Charr (Salvelinus alpinus), Pike (Esox lucius), Perch (Perca fluviatilis) and some recent data on Roach (Rutilus rutilus) from net and trap sampling, together with data on total fish abundance from hydroacoustics. Data collection began in 1940. With the exception of the hydroacoustics, the data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. The hydroacoustics data have been collected by CEH/IFE since 1990. The data available to download originate from Windermere North and South Basins and are given as yearly averages.","documentType":"GEMINI_DOCUMENT","familyName":["Winfield"],"fullName":["Winfield, I."],"givenName":["Ian"],"identifier":"f3f3ba40-c655-4740-b9b4-ce77ab286fb0","incomingCitationCount":0,"keyword":["Cumbria","Lake District","Windermere","Biodiversity","Salvelinus alpinus","Esox lucius","Perca fluviatilis","Rutilus rutilus"],"keywordsOther":["Salvelinus alpinus","Esox lucius","Perca fluviatilis","Rutilus rutilus"],"keywordsPlace":["Cumbria","Lake District","Windermere"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"The catch per unit effort data were initially collected by the Freshwater Biological Association but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Some of the data date back to 1940. The hydroacoustic data has been collected by CEH/IFE since 1990. For further information, refer to the supporting documentation. ","locations":["POLYGON((-2.99 54.26, -2.99 54.44, -2.91 54.44, -2.91 54.26, -2.99 54.26))"],"metadataDate":"2026-03-26T13:37:30.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-04-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1361456406600","CEH:EIDC::1361456406600","https://catalogue.ceh.ac.uk/id/f3f3ba40-c655-4740-b9b4-ce77ab286fb0"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of information regarding the abundance of fish species from Windermere, and includes long-term data on Arctic Charr (Salvelinus alpinus), Pike (Esox lucius), Perch (Perca fluviatilis) and some recent data on Roach (Rutilus rutilus) from net and...","state":"published","title":"Windermere fish abundance 1940-2012","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of St Andrews","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Miller","Smeaton","Garbutt","Austin"],"authorFullName":["Miller, L.C.","Smeaton, C.","Garbutt, A.","Austin, W.E.N."],"authorGivenName":["L.C.","C.","A.","W.E.N."],"authorOrcid":["https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises of physical and biogeochemical measurements of belowground (root) biomass from across four Scottish saltmarshes. Sites were chosen to represent contrasting habitats types in Scotland, in particular sediment types, vegetation and sea level history. The data provide a quantitative measure of belowground (root) biomass, organic carbon content and belowground (root) carbon. Samples were collected using a wide gauge gouge corer. The samples were processed to determine belowground (root) biomass, the organic carbon was quantified through elemental analysis and these two data sets were combined to calculate the belowground (root) carbon content. The data were collected to help create a detailed picture of saltmarsh carbon storage in surficial soils across Scotland.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Miller","Garbutt","Austin"],"fullName":["Smeaton, C.","Miller, L.C.","Garbutt, A.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","L.C.","A.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"032627e0-5780-4601-b9b3-e684403cee70","incomingCitationCount":0,"keyword":["Scotland","United Kingdom","C-SIDE","soil","sediment","biomass","carbon","organic carbon","organic matter","salt marsh","root","coastal","wetland","blue carbon"],"keywordsOther":["C-SIDE","soil","sediment","biomass","carbon","organic carbon","organic matter","salt marsh","root","coastal","wetland","blue carbon"],"keywordsPlace":["Scotland","United Kingdom"],"licence":"Open government licence","lineage":"Soil cores were taken at each sampling location using a wide diameter gouge corer. The location of the sample was recorded using GPS. Prior to analysis the samples were stored at 4 degrees Celsius at the University of St Andrews. Belowground (root) biomass, organic carbon content and belowground (root) carbon data was produced using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-7.09 55.74, -7.09 58.99, -0.46 58.99, -0.46 55.74, -7.09 55.74))"],"metadataDate":"2026-05-11T18:21:35.000Z","orcid":["https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-6544-3468"],"organisation":["University of St Andrews","UK Centre for Ecology & Hydrology","The University Court of the University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/032627e0-5780-4601-b9b3-e684403cee70","10.5285/032627e0-5780-4601-b9b3-e684403cee70","doi:10.5285/032627e0-5780-4601-b9b3-e684403cee70"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises of physical and biogeochemical measurements of belowground (root) biomass from across four Scottish saltmarshes. Sites were chosen to represent contrasting habitats types in Scotland, in particular sediment types, vegetation and sea level history....","state":"published","supplementalName":["C-SIDE website"],"title":"Physical and biogeochemical measurements of belowground biomass and carbon content from Scottish salt marshes, 2021","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Imperial College London","Imperial College, Universiti Putra Malaysia","Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI)","Universidad Nacional Mayor de San Marcos","Universidad de los Andes"],"authorFamilyName":["Manz","Buytaert","Zulkafli","Lavado","Willems","Robles","Rodríguez Sánchez"],"authorFullName":["Manz, B.","Buytaert, W.","Zulkafli, Z.","Lavado, W.","Willems, B.","Robles, L.A.","Rodríguez Sánchez, J.-."],"authorGivenName":["B.","W.","Z.","L.A.","J.-P."],"authorRor":["https://ror.org/041kmwe10","https://ror.org/05h7xpn20","https://ror.org/006vs7897","https://ror.org/04pqpvr75"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"A set of 130 digital precipitation maps of the tropical Andes, covering Colombia, Ecuador and Peru at a 5km resolution. The maps represent different realizations of mean precipitation totals of the period 1981-2010 using different satellite-gauge merging methods. The work draws on a large database of 723 rain gauges and the full 5km Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (TPR) record from 1998 to 2014. Each map is approximately 1MB","documentType":"GEMINI_DOCUMENT","familyName":["Manz","Buytaert","Zulkafli","Lavado","Willems","Robles","Rodríguez Sánchez"],"fullName":["Manz, B.","Buytaert, W.","Zulkafli, Z.","Lavado, W.","Willems, B.","Robles, L.A.","Rodríguez Sánchez, J.-."],"givenName":["Bastian","B.","W.","Z.","L.A.","J.-P."],"identifier":"74a588cc-723c-4a35-ac0c-223f5b92ee36","incomingCitationCount":6,"keyword":["Colombia","Ecuador","Peru","atmospheric precipitation"],"keywordsOther":["atmospheric precipitation"],"keywordsPlace":["Colombia","Ecuador","Peru"],"licence":"Open government licence","lineage":"TRMM Precipitation Radar data, product 2A25, was obtained from NASA for the period Jan 1998 to Oct 2014. Individual orbital scans were converted into time-series and re-projected onto a regular UTM grid (5 km) in R (statistical software), which allowed averaging over time to obtain mean monthly and annual climatological rainfall fields (regular raster grids) from the TPR (in R). Monthly or daily rain gauge time-series for the period 1981-2010 were obtained from IDEAM (Colombia), INAMHI (Ecuador), SENAMHI (Peru), SENAMHI (Bolivia) and NOAA (USA) and mean monthly and annual climatological values were determined for every gauge using a bespoke R script. Gauging station coordinates are re-projected into UTM (in R). Satellite-gauge merging as described in the supporting information was conducted using bespoke R scripts. Following generation of the final merged climatological precipitation fields (regular raster grids) these are converted from R to GeoTIFF (.tif).","locations":["POLYGON((-83.18 -18.442, -83.18 13.443, -64.678 13.443, -64.678 -18.442, -83.18 -18.442))"],"metadataDate":"2026-05-11T18:27:37.000Z","organisation":["Imperial College London","Imperial College, Universiti Putra Malaysia","Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI)","Universidad Nacional Mayor de San Marcos","Universidad de los Andes","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-01-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74a588cc-723c-4a35-ac0c-223f5b92ee36","10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36","doi:10.5285/74a588cc-723c-4a35-ac0c-223f5b92ee36"],"resourceType":"Dataset","ror":["https://ror.org/041kmwe10","https://ror.org/05h7xpn20","https://ror.org/006vs7897","https://ror.org/04pqpvr75","https://ror.org/04xw4m193"],"shortenedDescription":"A set of 130 digital precipitation maps of the tropical Andes, covering Colombia, Ecuador and Peru at a 5km resolution. The maps represent different realizations of mean precipitation totals of the period 1981-2010 using different satellite-gauge merging methods. The...","state":"published","title":"High-resolution satellite-gauge merged precipitation climatologies of the tropical Andes","version":1.0,"view":["public","dgwr","shar1"]},{"authorAffiliation":["Lancaster University","Maynooth University"],"authorFamilyName":["Chappell","Jones","Broderick"],"authorFullName":["Chappell, N.","Jones, T.D.","Broderick, C."],"authorGivenName":["N.","T.D.","C."],"authorOrcid":["https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0001-6018-8672","https://orcid.org/0000-0002-3610-2899"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises of derived annual statistics for measures of rainfall, streamflow, temperature and stream acidity (pH) for a stream, draining a small, approximately 1.2 square kilometres, upland conifer catchment. The stream, Nant Trawsnant, drains into the Llyn Brianne reservoir, Powys, United Kingdom. The data are for a 31 year period covering 1st April 1982 to 1st April 2012. The streamflow and acidity data are derived from 15 minute resolution observations throughout the calendar year 2013 from associated stream gauging and water quality stations on the Nant Trawsnant. The monthly rainfall measures presented, were derived from local rain gauges. The monthly temperature measures presented were derived from observations at a weather station near Talgarth, Powys. Routines within the Lancaster University Computer-Aided Program for Time-series Analysis and Identification of Noisy Systems (CAPTAIN) Toolbox for Matlab were used to develop a dynamic model of these data. These models were then used to simulate the 31-year record for which monthly statistics were derived. The statistics were derived to develop greater understanding of the controls on the long-term dynamics of aquatic biodiversity observed by other researchers in this stream. The work was part of the Diversity in Upland River Ecosystem Service Sustainability (DURESS) project, NERC grant NE/J014826/1. Members of staff from the Lancaster Environment Centre, Lancaster University installed, maintained and downloaded the stream gauging and water quality stations and also carried out statistical analysis of the data.\n","documentType":"GEMINI_DOCUMENT","familyName":["Chappell","Jones","Broderick"],"fullName":["Chappell, N.","Jones, T.D.","Broderick, C."],"funder":["Natural Environment Research Council"],"givenName":["Nick","N.","T.D.","C."],"grant":["NE/J014826/1"],"identifier":"b085a784-0e16-4174-b208-465a8f43c8c8","incomingCitationCount":0,"keyword":["Powys","Nant Trawsnant","Llyn Brianne","Diversity in Upland River Ecosystem Service Sustainability (DURESS) ","Biodiversity & Ecosystem Service Sustainability (BESS)","Conifer plantation","Matlab","Streamflow","Rainfall","pH","CAPTAIN toolbox"],"keywordsOther":["Conifer plantation","Matlab","Streamflow","Rainfall","pH","CAPTAIN toolbox"],"keywordsPlace":["Powys","Nant Trawsnant","Llyn Brianne"],"keywordsProject":["Diversity in Upland River Ecosystem Service Sustainability (DURESS) ","Biodiversity & Ecosystem Service Sustainability (BESS)"],"licence":"Open government licence","lineage":"The streamflow and acidity data are derived from 15 minute resolution observations recorded onto Campbell Scientific CR1000 data loggers throughout the calendar year 2013 from associated stream gauging and water quality stations on the Nant Trawsnant. Data from each data logger were downloaded at regular intervals onto a laptop. Raw data were then transferred to a secure data store created for the DURESS project, hosted at Lancaster University. Records for local rain gauges were requested from the data owners. Temperature data were requested from the Met Office from observations at a weather station near Talgarth, Powys. The requested data for both rainfall and temperature were held in the DURESS secure data store. Final data were derived from these raw data using analysis in the Matlab programming environment. Values were exported in Excel spreadsheets and then into comma separated values for ingestion into the EIDC.\n \n","locations":["POLYGON((-3.746 52.113, -3.746 52.124, -3.733 52.124, -3.733 52.113, -3.746 52.113))"],"metadataDate":"2026-05-11T18:54:00.000Z","orcid":["https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0001-6018-8672","https://orcid.org/0000-0002-3610-2899"],"organisation":["Lancaster University","Maynooth University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-05-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b085a784-0e16-4174-b208-465a8f43c8c8","10.5285/b085a784-0e16-4174-b208-465a8f43c8c8","doi:10.5285/b085a784-0e16-4174-b208-465a8f43c8c8"],"resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises of derived annual statistics for measures of rainfall, streamflow, temperature and stream acidity (pH) for a stream, draining a small, approximately 1.2 square kilometres, upland conifer catchment. The stream, Nant Trawsnant, drains into the Llyn...","state":"published","supplementalDescription":["Website describing the high frequency monitoring being carried out by Lancaster University in the Llyn Brianne catchments, including Nant Trawsnant","Website describing the CAPTAIN (Computer-Aided Program for Time-series Analysis and Identification of Noisy Systems Toolbox","Jones, T.D., Chappell, N.A., Tych, W. (2014).  First dynamic model of dissolved organic carbon derived directly from high frequency observations through contiguous storms.  Environmental Science and Technology. 48(22) p. 13289-13297","Jones, T., Chappell, N.A. (2014). Streamflow and hydrogen ion interrelationships identified using data-based mechanistic modelling of high frequency observations through contiguous storms. Hydrology Research Dec 2014, 45 (6) 868-892"],"supplementalName":["SMART Watersheds: Llyn Brianne","CAPTAIN Toolbox"],"title":"Derived annual statistics of rainfall, streamflow and acidity for the Nant Trawsnant catchment, Llyn Brianne, Mid Wales, UK. (1982 to 2012) ","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Leicester","University of Nottingham","University of Manchester","Specto Natura"],"authorFamilyName":["Cole","De la Barreda","Hamer","Codd","Payne","Chan","Smith","Balzter"],"authorFullName":["Cole, B.","De la Barreda, B.","Hamer, A.","Codd, T.","Payne, M.","Chan, L.","Smith, G.","Balzter, H."],"authorGivenName":["B.","A.","T.","M.","L.","G.","H."],"authorOrcid":["https://orcid.org/0000-0002-3822-7302","https://orcid.org/0000-0001-5642-8215","https://orcid.org/0000-0001-5350-0736","https://orcid.org/0000-0002-9053-4684"],"authorRor":["https://ror.org/04h699437","https://ror.org/01ee9ar58","https://ror.org/027m9bs27","https://ror.org/05wn3nd60"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset is the 2018 Corine Land Cover map, consisting of 44 classes in the hierarchical three level Corine nomenclature. \n\nCorine Land Cover (CLC) 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; these two maps are the UK component of Europe.\n\n This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.\n","documentType":"GEMINI_DOCUMENT","familyName":["Cole","De la Barreda","Hamer","Codd","Payne","Chan","Smith","Balzter"],"fullName":["Cole, B.","De la Barreda, B.","Hamer, A.","Codd, T.","Payne, M.","Chan, L.","Smith, G.","Balzter, H."],"givenName":["B.","A.","T.","M.","L.","G.","H."],"identifier":"084e0bc6-e67f-4dad-9de6-0c698f60e34d","incomingCitationCount":0,"keyword":["Land cover","Geospatial data","Copernicus","land cover","land use"],"keywordsOther":["Geospatial data","Copernicus","land cover","land use"],"keywordsTheme":["Land cover"],"licence":"Open government licence","lineage":"CLC products are based in majority of EEA39 countries on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member and cooperating countries. This data covers the UK. All features in original vector database are delineated and classified on satellite images according to CLC specifications i.e. with better than 100 m positional accuracy and 25 ha minimum mapping unit (5 ha MMU for change layer) into the standardized CLC nomenclature (44 CLC classes). The change layer is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison.\nDetails of the QC are in the metadata. All areas were independently verified by a second interpreter. The quality of interpretation was checked by the European technical team.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:08:23.000Z","orcid":["https://orcid.org/0000-0002-3822-7302","https://orcid.org/0000-0001-5642-8215","https://orcid.org/0000-0001-5350-0736","https://orcid.org/0000-0002-9053-4684"],"organisation":["University of Leicester","University of Nottingham","University of Manchester","Specto Natura","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/084e0bc6-e67f-4dad-9de6-0c698f60e34d","10.5285/084e0bc6-e67f-4dad-9de6-0c698f60e34d","doi:10.5285/084e0bc6-e67f-4dad-9de6-0c698f60e34d"],"resourceType":"Dataset","rightsHolder":["University of Leicester"],"ror":["https://ror.org/04h699437","https://ror.org/01ee9ar58","https://ror.org/027m9bs27","https://ror.org/05wn3nd60","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is the 2018 Corine Land Cover map, consisting of 44 classes in the hierarchical three level Corine nomenclature. \n\nCorine Land Cover (CLC) 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus...","state":"published","title":"Corine land cover 2018 for the UK, Isle of Man, Jersey and Guernsey","topic":["0/Land cover/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Montgomery","Couto"],"authorFullName":["Montgomery, S.","Couto, A."],"authorGivenName":["S.","A."],"authorOrcid":["https://orcid.org/0000-0002-5474-5695","https://orcid.org/0000-0002-5528-7331"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. \nWild caught butterflies were sampled from five locations in Central and South America between 2012 and 2016. Locations included Costa Rica, Panama, French Guiana, Ecuador, and Peru. These locations covered a range of habitats from dry to wet forest, at elevations from sea level to 2500m. Interspecific data from wild caught individuals include identification to a species level, sex, and body size, as well as volume measurements of the mushroom body structures, central brain, medulla, and antennal lobe. \n\nMeasurements of mushroom body calyx volume, and estimates of Kenyon cell and synapse counts are included for six species of  insectary-reared adult heliconiine butterflies (Agraulis vanilla, dryas iulia, eueides Isabella, heliconius melpmonene, heliconius Hortense, heliconius hecale). Two species (dryas iulia, heliconius charthonia) were also sampled for microglomeruli counts.\nThis dataset was created as part of a NERC Independent Research Fellowship NE/N014936/1, to analyse the evolutionary expansions in mushroom body size in Heliconius butterflies, compared to their closest relatives.\n","documentType":"GEMINI_DOCUMENT","familyName":["Montgomery","Couto"],"fullName":["Montgomery, S.","Couto, A."],"funder":["Natural Environment Research Council"],"givenName":["S.","A."],"grant":["NE/N014936/2"],"identifier":"de62eff7-6ea4-44d7-a015-2eb9b25cf882","incomingCitationCount":0,"keyword":["Biodiversity","lepidoptera","butterfly species abundance","heliconiini","kenyon cell number","brain","neuropil","mushroom body","mushroom body calyx","synapse density"],"keywordsOther":["lepidoptera","butterfly species abundance","heliconiini","kenyon cell number","brain","neuropil","mushroom body","mushroom body calyx","synapse density"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Samples were collected over multiple field seasons across central and south America using a hand-net, fixed in situ and returned to the UK. Fixed samples were then stained with Anti-SYNORF as a primary antibody, cy2 as a secondary antibody, and imaged using confocal microscopy. The resulting images, which highlight boundaries between brain regions, were then segmented using AMIRA software to quantify neuropil volumes. \n\nInsectary-reared samples were obtained using pupae from commercial supplies. Freshly eclosed butterflies were aged in a controlled temperature room at 28 degrees Celsius with 80% humidity with a 12-hour day/night cycle. The cage was enriched with a natural food resource, supplemented by artificial feeders. Butterflies were sampled six to ten days after emergence.\n\nKenyon cell counts were estimated using immunohistochemical staining against DAPI, imaged with confocal microscopy. Synapse density estimates were made using higher magnification imaging of Anti-SYNORF stained brains, focusing on the calyx. Total count data was obtained by estimating nuclei density/synapse density within sub-sampled regions of a structure, and then extrapolating across the total volume of the structure.\n","locations":["POLYGON((-119.308 -56.207, -119.308 33.669, -33.879 33.669, -33.879 -56.207, -119.308 -56.207))"],"metadataDate":"2026-05-11T18:22:03.000Z","orcid":["https://orcid.org/0000-0002-5474-5695","https://orcid.org/0000-0002-5528-7331"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de62eff7-6ea4-44d7-a015-2eb9b25cf882","10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882","doi:10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. \nWild caught butterflies were sampled from five...","state":"published","supplementalName":[" Couto A, Young FJ, Atzeni D, Marty S, Melo‐Flórez L, Hebberecht L, Monllor M, Neal C, Cicconardi F, McMillan WO, Montgomery SH. Rapid expansion and visual specialisation of learning and memory centres in the brains of Heliconiini butterflies. Nature Communications. 2023, 14(1):4024. https://doi.org/10.1038/s41467-023-39618-8"],"title":"Taxonomic data, neuropil volume measurements, and mushroom body calyx kenyon cell and synapse counts for Heliconiini butterflies, Central and South America, 2012-2016","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Bunce","Wood","Henrys","Smart","Howard","Barr"],"authorFullName":["Bunce, R.G.H.","Wood, C.M.","Henrys, P.A.","Smart, S.M.","Howard, D.C.","Barr, C.J."],"authorGivenName":["R.G.H.","C.M.","P.A.","S.M.","D.C.","C.J."],"authorOrcid":["https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-4494-7450"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (area) data for Biodiversity Action Plan (BAP) Broad Habitats across Great Britain in 1978. Data are presented as areas of Broad (or Priority) Habitats within a set of 256 1km squares across Great Britain.\n\n The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Wood","Henrys","Smart","Howard","Barr"],"fullName":["Bunce, R.G.H.","Wood, C.M.","Henrys, P.A.","Smart, S.M.","Howard, D.C.","Barr, C.J.","Wood, C."],"givenName":["R.G.H.","C.M.","P.A.","S.M.","D.C.","C.J.","Claire"],"identifier":"86c017ba-dc62-46f0-ad13-c862bf31740e","incomingCitationCount":2,"keyword":["Countryside Survey","Biodiversity","Environmental survey","habitat"],"keywordsOther":["habitat"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1977 and 1978 by surveyors. Data were recorded from 256 1km squares sited across Britain, selected by random stratified sample. The areas of BAP Broad Habitats were digitized in 2009. Also see: Countryside Survey: Measuring Habitat Change Over 30 Years. 1978 Data Rescue - Final Report (2012) Wood C.M., Howard D.C., Henrys P.A., Bunce R.G.H., Smart S.M.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T17:54:36.000Z","orcid":["https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-4494-7450"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2016-01-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/86c017ba-dc62-46f0-ad13-c862bf31740e","10.5285/86c017ba-dc62-46f0-ad13-c862bf31740e","doi:10.5285/86c017ba-dc62-46f0-ad13-c862bf31740e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for Biodiversity Action Plan (BAP) Broad Habitats across Great Britain in 1978. Data are presented as areas of Broad (or Priority) Habitats within a set of 256 1km squares across Great Britain.\n\n The Countryside Survey is a...","state":"published","supplementalDescription":["Wood, C.M.; Howard, D.C.; Henrys, P.A.; Bunce, R.G.H.; Smart, S.M.. 2012 Countryside Survey: measuring habitat change over 30 years: 1978 data rescue - final report. Lancaster, NERC/Centre for Ecology & Hydrology, 18pp. (CEH Project Number: C03689)"],"supplementalName":["Countryside Survey"],"title":"Landscape area data 1978 [Countryside Survey]","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorFamilyName":["Perry","Wachowiak","Donnelly","Cavers"],"authorFullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"authorGivenName":["A.","W.","K.","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Wachowiak","Donnelly","Cavers"],"fullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["A.","W.","K.","S."],"grant":["NE/K012177/1"],"identifier":"55118e26-cf5c-41d6-9157-738fce6bdddf","incomingCitationCount":0,"keyword":["Phenology","budburst","height","SNP array","genotypes","Scots pine"],"keywordsOther":["budburst","height","SNP array","genotypes","Scots pine"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A common garden glasshouse trial was established in 2010 using seed from natural populations from three species of pine: Pinus sylvestris (SY), Pinus mugo (MU), Pinus uncinata (UN). Open-pollinated seeds were collected from three to five trees per population from twenty-eight natural populations in Europe covering the geographic range of each species. The collection consisted of thirteen populations of SY, nine MU, and six UN. The trial was divided into 25 randomized blocks with up to five families per population, of which the first 18 blocks were analysed by Wachowiak et al. (2018a).\n\nPhenotypes (height, bud set and budburst) were assessed in the glasshouse during spring (budburst), autumn (bud set) and winter (height) between 2010 and 2013. \n\nA subset of trees were selected to be genotyped using a multi-species SNP array. Trees were genotyped using a multi-species SNP array (Perry et al., 2020). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1 % agarose gel.\n\nGenotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC ‘high’ ≥ 0.82; DQC ‘low’ < 0.82; CR ‘high’ ≥ 96; CR ‘low’ < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-3.358 55.877, -3.358 56.003, -3.013 56.003, -3.013 55.877, -3.358 55.877))"],"metadataDate":"2026-05-11T18:18:03.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55118e26-cf5c-41d6-9157-738fce6bdddf","10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf","doi:10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","state":"published","title":"Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2020 (LCM2020).  It describes Great Britain and Northern Ireland land cover in 2020 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  The data was derived by rasterising properties of the LCM2020 Classified Land Parcels product.\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"],"fullName":["Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["Dan"],"grant":["NE/R016429/1"],"identifier":"315e9cbb-efdc-4726-bf97-bd9176af3c9d","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","UK-SCAPE","infoMapAccessService"],"keywordsOther":["UK-SCAPE","infoMapAccessService"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH’s automated land cover classification algorithms generated the 10m classified pixels, from which this product was generated.  This service represents LCM2020 25m rasterised land parcels. It was produced by rasterising the LCM2020 Classified Land Parcels GB product .","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-03-26T13:37:23.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-12-10T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/315e9cbb-efdc-4726-bf97-bd9176af3c9d"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2020 (LCM2020).  It describes Great Britain and Northern Ireland land cover in 2020 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action...","state":"published","title":"Land Cover Map 2020 25m web map service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Mackay","McShane","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","E.B.","G. ","G.","S.J.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. 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 5 m. All data are from January 2019 until the end of 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Mackay","McShane","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","E.B.","G. ","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"dd35316a-cecc-4f6d-9a21-74a0f6599e9e","incomingCitationCount":0,"keyword":["lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"keywordsOther":["lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2.\n","locations":["POLYGON((-2.985 54.393, -2.985 54.399, -2.973 54.399, -2.973 54.393, -2.985 54.393))"],"metadataDate":"2026-05-11T18:14:42.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd35316a-cecc-4f6d-9a21-74a0f6599e9e","10.5285/dd35316a-cecc-4f6d-9a21-74a0f6599e9e","doi:10.5285/dd35316a-cecc-4f6d-9a21-74a0f6599e9e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data...","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, 2019-2020","version":1.0,"view":["public","elsdhi"]},{"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":["https://orcid.org/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":"2026-05-11T18:14:29.000Z","orcid":["https://orcid.org/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","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":"Available","catalogue":"eidc","dataFormat":["Shapefile","Geography Markup Language (gml)"],"description":"Digital river network of the natural and artificial streams and rivers within the Plynlimon catchments.","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fullName":["Fry, M."],"givenName":["Matt"],"identifier":"b5c24a80-af3b-48db-91cd-c796ba5ecc36","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Hydrology","Water quality","hydrochemistry"],"keywordsOther":["hydrochemistry"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago"],"keywordsTheme":["Hydrology","Water quality"],"licence":"Non-Open government licence","lineage":"The Plynlimon river network has been digitised from scanned topographic maps of Plynlimon Catchment Areas. The topographic maps references are: Plynlimon Catchment Areas - Severn Catchment. Sheet No. 1. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas - Wye Catchment. Sheet No. 2. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas. Sheet No. 1. Scale 1:10000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-04-22T14:40:34.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b5c24a80-af3b-48db-91cd-c796ba5ecc36"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Digital river network of the natural and artificial streams and rivers within the Plynlimon catchments.","state":"published","title":"Plynlimon research catchments: river network","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Stirling","University of St Andrews"],"authorFamilyName":["Ormsby","White","Metcalf","Oliver","Feasey","Quilliam"],"authorFullName":["Ormsby, M.J.","White, H.L.","Metcalf, R.","Oliver, D.M.","Feasey, N.A.","Quilliam, R.S."],"authorGivenName":["M.J.","H.L.","R.","D.M.","N.A.","R.S."],"authorOrcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0003-4041-1405","https://orcid.org/0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of a peri-urban waste pile. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), bacterial concentration (CFU/ml), survival percentages, and regression parameters. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","White","Metcalf","Oliver","Feasey","Quilliam"],"fullName":["Ormsby, M.J.","White, H.L.","Metcalf, R.","Oliver, D.M.","Feasey, N.A.","Quilliam, R.S."],"funder":["Natural Environment Research Council"],"givenName":["M.J.","H.L.","R.","D.M.","N.A.","R.S."],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"9c3a1ae5-65d7-45c6-b6f3-1a955b17abff","incomingCitationCount":0,"keyword":["Environmental risk","Biofilm","plastic waste","waste management","public health","environmental pollution"],"keywordsOther":["Biofilm","plastic waste","waste management","public health","environmental pollution"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Biofilm formation, persistence, pathogenicity, and die-off rates of Salmonella were investigated through controlled laboratory experiments. Biofilms were generated on various materials in nutrient-rich and surface water environments, quantified using crystal violet staining, and analysed in triplicate. Persistence was assessed by recovering Salmonella from biofilms over 28 days, followed by serial dilution, selective plating, and confirmatory PCR targeting the ttr gene.\n\nPathogenicity was evaluated using Galleria mellonella larvae, with standardised inoculation protocols and survival monitoring for 72 hours. Die-off rates were determined by log10 transformation of CFU counts and modelled using linear regression, with statistical analyses (ANOVA, Tukey post-hoc tests) to evaluate treatment effects. Data underwent thorough validation at each stage, including replication, selective media confirmation, and regression modelling, ensuring high reliability and accuracy before submission.\n","metadataDate":"2026-05-11T18:07:55.000Z","orcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0003-4041-1405","https://orcid.org/0000-0001-7020-4410"],"organisation":["University of Stirling","University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff","10.5285/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff","doi:10.5285/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of a peri-urban waste pile. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C),...","state":"published","title":"Survival and persistence of Salmonella spp. on waste plastic and glass under laboratory conditions simulant of a peri-urban waste pile","topic":["0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"availability":"Unknown","catalogue":"eidc","description":"An ecological survey of the English county of Cumbria, using standardised survey methods, was undertaken by the Institute of Terrestrial Ecology (a forerunner of the Centre for Ecology & Hydrology) in 1975 within a stratified random set of sites. In total, up to 650 plots were surveyed from within 48 x 1km squares.  A later survey was also undertaken in 1978, covering up to 262 plots in the marginal uplands.  Plant species, habitat and land use types, major biota present (and in some cases soils) were collected. The survey sampling framework - the Land Classification of Cumbria - is also available. ","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["Wood, C.M."],"givenName":["C.M."],"identifier":"2a194803-b8a2-4837-a89c-e6649daa817c","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","Land use"],"keywordsTheme":["Biodiversity","Environmental survey","Land use"],"licence":"Open government licence","lineage":"Data were collected on paper by trained field surveyors using standardised methods and later digitised by the Centre for Ecology & Hydrology, Lancaster. Soil samples were analysed at laboratories belonging to the Institute of Terrestrial Ecology, Merlewood, Grange-over-Sands.\nLand classification created by multivariate analyses at the Institute of Terrestrial Ecology, Merlewood, Grange-over-Sands.","locations":["POLYGON((-3.624 54.037, -3.624 54.981, -2.514 54.981, -2.514 54.037, -3.624 54.037))"],"metadataDate":"2025-11-13T16:14:37.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-09-13T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2a194803-b8a2-4837-a89c-e6649daa817c"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"An ecological survey of the English county of Cumbria, using standardised survey methods, was undertaken by the Institute of Terrestrial Ecology (a forerunner of the Centre for Ecology & Hydrology) in 1975 within a stratified random set of sites. In total, up to 650...","state":"published","supplementalDescription":["Bunce, R. G. H., and Smith, R. S.: An ecological survey of Cumbria, Structure Plan Working Paper, 4, Cumbria County Council and Lake District Special Planning Board, Kendal 1978"],"title":"Ecological survey of Cumbria","topic":["0/Biodiversity/","0/Environmental survey/","0/Land use/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Institute of Zoology/University of Bristol","Centre for Ecology & Hydrology","University of East Anglia","Institute of Zoology"],"authorFamilyName":["Dreier","Redhead","Warren","Bourke","Heard","Jordan","Sumner","Wang","Carvell"],"authorFullName":["Dreier, S.","Redhead, J.W.","Warren, I.","Bourke, A.F.G.","Heard, M.S.","Jordan, W.C.","Sumner, S.","Wang, J.","Carvell, C."],"authorGivenName":["S.","J.W.","I.","A.F.G.","M.S.","W.C.","J.","C."],"authorOrcid":["https://orcid.org/0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/026k5mg93","https://ror.org/05skxkv18"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Geographic distances between pairs of wild bumblebee colonies across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Colony locations were estimated using the foraging locations of workers sampled in summer 2011, genotyped and grouped into full-sib families. The spatial structure of five Bombus species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum and B. ruderatus) was determined, with inter-colony distances varying from 7 to 5264 metres. Data were collected as part of a project led by the Centre for Ecology & Hydrology, funded under the Insect Pollinators Initiative.","documentType":"GEMINI_DOCUMENT","familyName":["Redhead","Dreier","Warren","Bourke","Heard","Jordan","Sumner","Wang","Carvell"],"fullName":["Redhead, J.","Dreier, S.","Redhead, J.W.","Warren, I.","Bourke, A.F.G.","Heard, M.S.","Jordan, W.C.","Sumner, S.","Wang, J.","Carvell, C."],"givenName":["John","S.","J.W.","I.","A.F.G.","M.S.","W.C.","J.","C."],"identifier":"8b3f4857-9809-43cb-b2aa-a988e64a5449","incomingCitationCount":1,"keyword":["Buckinghamshire","Pollinators","Bombus terrestris","Bombus lapidarius","Bombus pascuorum","Bombus hortorum","Bombus ruderatus"],"keywordsOther":["Bombus terrestris","Bombus lapidarius","Bombus pascuorum","Bombus hortorum","Bombus ruderatus"],"keywordsPlace":["Buckinghamshire"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Worker bumblebee DNA was sampled non-lethally, stored, extracted, genotyped and individuals assigned to full-sib groups (colonies) using recognised standard protocols. Spatial locations of colonies and inter-colony separation distances were generated in ArcGIS and backed up as Excel files. Data were checked for errors at all stages by staff at the Centre for Ecology & Hydrology and at the Institute of Zoology.","locations":["POLYGON((-1.03 51.936, -1.03 51.979, -0.965 51.979, -0.965 51.936, -1.03 51.936))"],"metadataDate":"2026-05-11T18:10:53.000Z","orcid":["https://orcid.org/0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Zoology/University of Bristol","Centre for Ecology & Hydrology","University of East Anglia","Institute of Zoology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-05-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1401193864362","CEH:EIDC::1401193864362","https://catalogue.ceh.ac.uk/id/8b3f4857-9809-43cb-b2aa-a988e64a5449","10.5285/8b3f4857-9809-43cb-b2aa-a988e64a5449","doi:10.5285/8b3f4857-9809-43cb-b2aa-a988e64a5449"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/026k5mg93","https://ror.org/05skxkv18","https://ror.org/04xw4m193"],"shortenedDescription":"Geographic distances between pairs of wild bumblebee colonies across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Colony locations were estimated using the foraging locations of workers sampled in summer 2011, genotyped and grouped...","state":"published","title":"Geographic distances between pairs of wild bumblebee colonies across an agricultural landscape in Buckinghamshire, UK","topic":["0/Pollinators/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Henrys","Keith","Robinson","Emmett"],"authorFullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["P.A.","A.M.","D.A.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis - http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf ). Countryside Survey topsoil carbon data is representative of 0-15 cm soil depth and includes Loss-on-ignition (%), Carbon concentration (g kg-1) and Carbon density (t ha-1). A total of 2614 cores from 591 1km x 1km squares across Great Britain were collected and analysed in 2007 (see Emmett et al. 2010 for further details of sampling and methods http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf ). Loss-on-ignition (LOI) was determined by combustion of 10g dry soil at 375 deg C for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55, and carbon density was estimated by combining carbon concentration with bulk density estimates. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see Supporting Information). Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK.","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Henrys","Robinson","Emmett"],"fullName":["Keith, A.M.","Henrys, P.A.","Robinson, D.A.","Emmett, B.A."],"givenName":["A.M.","P.A.","D.A.","B.A."],"identifier":"9e4451f8-23d3-40dc-9302-73e30ad3dd76","incomingCitationCount":6,"keyword":["Countryside Survey","Soil","Broad Habitat","Loss on ignition","Parent Material Model","organic matter","loss on ignition","carbon","habitat","soil"],"keywordsOther":["Broad Habitat","Loss on ignition","Parent Material Model","organic matter","loss on ignition","carbon","habitat","soil"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data used are taken from the Countryside Survey Soils Report (Emmett et al. 2010) which can be found at http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf","locations":["POLYGON((-8.67 49.41, -8.67 59.85, 3.04 59.85, 3.04 49.41, -8.67 49.41))"],"metadataDate":"2026-05-12T07:54:09.000Z","orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2012-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1332952419801","CEH:EIDC::1332952419801","https://catalogue.ceh.ac.uk/id/9e4451f8-23d3-40dc-9302-73e30ad3dd76","10.5285/9e4451f8-23d3-40dc-9302-73e30ad3dd76","doi:10.5285/9e4451f8-23d3-40dc-9302-73e30ad3dd76"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis...","state":"published","supplementalDescription":["Emmett, B.A., Reynolds, B., Chamberlain, P.M., Rowe, E., Spurgeon, D., Brittain, S.A., Frogbrook, Z., Hughes, S., Lawlor, A.J., Poskitt, J., Potter, E., Robinson, D.A., Scott, A., Wood, C., Woods, C. (2010).  Countryside Survey: Soils Report from 2007. Technical Report No. 9/07. NERC/Centre for Ecology & Hydrology 192pp. (CEH Project Number: C03259).","Scott, W.A. (2008). Countryside Survey: Statistical Report. Technical Report No. 4/07. NERC/Centre for Ecology & Hydrology."],"supplementalName":["Countryside Survey Soils Report from 2007","Countryside Survey Statistical Report"],"title":"Model estimates of topsoil carbon [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["https://orcid.org/0000-0002-9882-6972","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the electrical conductivity of a 10 gram soil sample from the top 5 centimetre (cm) of soil taken within each 1metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. \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. \n","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["Hilary","H.","A.","M."],"grant":["NE/J015644/1"],"identifier":"e763d84c-8ac2-4be5-8598-b2cf801367ce","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","Electrical conductivity","Soil","Salinity"],"keywordsOther":["Electrical conductivity","Soil","Salinity"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"10 gram soil samples from the top 5 centimetre (cm) of soil were taken randomly within each 1metre (m) x 1m quadrat (fresh mass). Following a 1:2.5 dilution method, 25 millilitres ml of deionised water was added to the fresh mass and shaken on a rack for roughly 30 minutes. A Jenway 4320 combined pH & electrical conductivity meter was used to measure conductivity as a proxy for salinity. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metre (m) to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle 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). ","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-05-11T18:21:30.000Z","orcid":["https://orcid.org/0000-0002-9882-6972","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e763d84c-8ac2-4be5-8598-b2cf801367ce","10.5285/e763d84c-8ac2-4be5-8598-b2cf801367ce","doi:10.5285/e763d84c-8ac2-4be5-8598-b2cf801367ce"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the electrical conductivity of a 10 gram soil sample from the top 5 centimetre (cm) of soil taken within each 1metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested...","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil electrical conductivity on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Scottish Natural Heritage"],"authorFamilyName":["Mitchell","Brooks","Squire","Wright","Allison"],"authorFullName":["Mitchell, N.","Brooks, P.","Squire, J.","Wright, G.","Allison, A."],"authorGivenName":["N","P.","J.","G.","A."],"authorRor":["https://ror.org/01t6g8w08"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises counts of ten waterfowl species collected from Loch Leven from 1968-2007 by staff at Scottish Natural Heritage (SNH) and its predecessor bodies (Nature Conservancy), as part of their long-term monitoring programme of the lake. Counts are for the whole loch and represent an annual peak count based on the monthly counts recorded from September (of the year indicated) through to March (of the following year). ","documentType":"GEMINI_DOCUMENT","familyName":["Mitchel","Mitchell","Brooks","Squire","Wright","Allison"],"fullName":["Mitchel, N.","Mitchell, N.","Brooks, P.","Squire, J.","Wright, G.","Allison, A."],"givenName":["Neil","N","P.","J.","G.","A."],"identifier":"39da2334-0952-4d4d-b634-5f7f2115ac90","incomingCitationCount":1,"keyword":["Loch Leven","Kinross","Scotland","UK","Cormorant","Great Crested Grebe","Greylag Goose","Mallard","Mute Swan","Pink-footed Goose","Pochard","Teal","Tufted Duck","bird","waterfowl","biological monitoring"],"keywordsOther":["Cormorant","Great Crested Grebe","Greylag Goose","Mallard","Mute Swan","Pink-footed Goose","Pochard","Teal","Tufted Duck","bird","waterfowl","biological monitoring"],"keywordsPlace":["Loch Leven","Kinross","Scotland","UK"],"licence":"Open government licence","lineage":"Monthly autumn and winter (September-March) waterfowl counts were collected from land-based vantage points. Counts were conducted by SNH at monthly intervals between 1967 and 1994, and at monthly intervals using the Wetland Bird Survey (WeBS) methods (Austin et al., 2008) since 1995.  Since 2003 the surveys have been carried out fortnightly and from 2008 onwards counts are completed by SNH in collaboration with RSPB Loch Leven. There are some gaps in the dataset where monthly counts were not completed.  Peak Pink-footed goose counts are dawn roost counts rather than standard WeBS count methods. Validation of data was in line with protocols referenced in the supporting documents. The dataset was quality controlled by Neil Mitchell who has worked at Loch Leven since 2009, and his predecessor SNH Reserve Wardens.","locations":["POLYGON((-3.422 56.174, -3.422 56.223, -3.325 56.223, -3.325 56.174, -3.422 56.174))"],"metadataDate":"2026-05-11T17:44:36.000Z","organisation":["Loch Leven National Nature Reserve","Scottish Natural Heritage","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-07-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/39da2334-0952-4d4d-b634-5f7f2115ac90","10.5285/39da2334-0952-4d4d-b634-5f7f2115ac90","doi:10.5285/39da2334-0952-4d4d-b634-5f7f2115ac90"],"resourceType":"Dataset","rightsHolder":["Scottish Natural Heritage"],"ror":["https://ror.org/01t6g8w08","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises counts of ten waterfowl species collected from Loch Leven from 1968-2007 by staff at Scottish Natural Heritage (SNH) and its predecessor bodies (Nature Conservancy), as part of their long-term monitoring programme of the lake. Counts are for the...","state":"published","title":"Loch Leven Waterfowl 1968-2007","version":1.0,"view":["public","dcmo"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents"}