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Soil temperature profiles were monitored during summer in 2013 and 2014 in Yukon and Northwest Territories. 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In some sites, soil temperatures were monitored using a Rototherm probe (British Rototherm Co. Ltd. Port Talbot, UK) connected to a hand-held digital thermometer. 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Soil temperature profiles were monitored during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus, thawing features of peatland…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Soil temperature profiles from permafrost in subarctic Canada","version":1.0,"view":["public","kath"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Inston","Morrell","Rayner","Shannon","Hatchell","Bennie","Gaston"],"authorFullName":["Inston, M.J.","Morrell, S.","Rayner, C.W.","Shannon, J.P.","Hatchell, J.","Bennie, J.","Gaston, K.J."],"authorGivenName":["Maisy J.","Sam","Charlie W.","John P.","Jennifer","Jonathan","Kevin J."],"authorOrcid":["0009-0008-5833-0180","0000-0001-6352-5312","0009-0000-4437-5435","0009-0006-9456-7068","0000-0002-4870-2760","0000-0003-4394-2041","0000-0002-7235-7928"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset shows the collected information on species presence and activity in the city of Exeter, Devon, UK using recordings from static bat detectors placed strategically around the city. The dataset were collected between July and September 2022. Classifications were then drawn from the audio recordings using software classification from both BatClassify and PnatConsoleApp, as well as manual human classification on a subset of the data. The experiment and sample locations were designed to gauge the impact of artificial light at night (ALAN) on the movement of bats through urban and suburban landscapes.","documentType":"GEMINI_DOCUMENT","familyName":["Inston","Morrell","Rayner","Shannon","Hatchell","Bennie","Gaston"],"fullName":["Inston, M.J.","Morrell, S.","Rayner, C.W.","Shannon, J.P.","Hatchell, J.","Bennie, J.","Gaston, K.J.","Samuel Morrell"],"funder":["Natural Environment Research Council"],"givenName":["Maisy J.","Sam","Charlie W.","John P.","Jennifer","Jonathan","Kevin J."],"grant":["NE/V000497/1"],"identifier":"c635cda4-a014-4a79-b17a-c812b77f632c","incomingCitationCount":0,"keyword":["Animal behaviour","monitoring","animal behaviour","ecology","urban ecology","urban biodiversity","Exeter"],"keywordsOther":["monitoring","animal behaviour","ecology","urban ecology","urban biodiversity","Exeter"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The data was collected using recordings from AudioMoth 1.2.0 static bat detectors working on  ultrasonically-triggered firmware, described in the documentation. The files were then run through the automated classification software, BatClassify and PncatConsoleApp, to generate the classifications. From this output, species that were identified as rare or frequently misidentified were manually checked member of the team well-experienced in bat sound analysis, along with a 15% random sample from each detector. The sound files were viewed manually using the Kaleidoscope Pro software by Wildlife Acoustics. The outputs from this analysis were stored in a SQLite database, which were then collated into the CSVs provided in this dataset.\nThe preparation, placement and collection of the detectors was performed by Maisy Inston, with assistance from Sam Morrell. The human classifications of bat passes were performed by Maisy Inston. Curation, processing and analysis of the dataset was performed by Maisy Inston, was assistance from Charlie Rayner.","locations":["POLYGON((-3.57 50.674, -3.57 50.761, -3.453 50.761, -3.453 50.674, -3.57 50.674))"],"metadataDate":"2026-07-25T14:02:13.000Z","orcid":["0009-0008-5833-0180","0000-0001-6352-5312","0009-0000-4437-5435","0009-0006-9456-7068","0000-0002-4870-2760","0000-0003-4394-2041","0000-0002-7235-7928"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c635cda4-a014-4a79-b17a-c812b77f632c","10.5285/c635cda4-a014-4a79-b17a-c812b77f632c","doi:10.5285/c635cda4-a014-4a79-b17a-c812b77f632c"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset shows the collected information on species presence and activity in the city of Exeter, Devon, UK using recordings from static bat detectors placed strategically around the city. The dataset were collected between July and September 2022. Classifications…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Bat species presence and activity data collected using Static Bat Detectors, Exeter, UK, July-September 2022","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","katwri"]},{"availability":"Unknown","catalogue":"eidc","description":"The time-series data for the River Enborne and The Cut have been produced as part of the Engineering and Physical Sciences Research Council-funded Limpids project. They both provide hourly physical and chemical monitoring data for two contrasting tributaries of the River Thames; The Cut being a highly urbanised catchment receiving large quantities of sewage effluent from major towns, whereas the River Enborne is relatively rural, receiving sewage effluent from smaller sewage treatment works. These rivers were monitored over similar periods using identical infrastructure, monitoring sondes and chemical analysis methodologies for ground truthing the timeseries data. Common determinands are total reactive phosphorus, conductivity, turbidity, total chlorophyll, dissolved oxygen, pH, temperature and flow.","documentType":"GEMINI_DOCUMENT","familyName":["Bowes"],"fullName":["Bowes, M."],"givenName":["Mike"],"identifier":"db695881-eabe-416c-b128-76691b2104d8","incomingCitationCount":0,"keyword":["United Kingdom","England","Berkshire","River Thames basin","Water resources (en) "],"keywordsOther":["River Thames basin","Water resources (en) "],"keywordsPlace":["United Kingdom","England","Berkshire"],"licence":"Non-Open government licence","lineage":"Lineage of each dataset explained in their metadata record","locations":["POLYGON((-1.186 51.378, -1.186 51.38, -1.184 51.38, -1.184 51.378, -1.186 51.378))"],"metadataDate":"2026-07-25T14:23:15.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-02-17T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1431948491190","CEH:EIDC::1431948491190","https://catalogue.ceh.ac.uk/id/db695881-eabe-416c-b128-76691b2104d8"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The time-series data for the River Enborne and The Cut have been produced as part of the Engineering and Physical Sciences Research Council-funded Limpids project. They both provide hourly physical and chemical monitoring data for two contrasting tributaries of the…","state":"published","temporalExtentText":"Data collected from 2009 to 2012","title":"Hourly water quality monitoring data from two tributaries of the River Thames with contrasting land uses","version":1.0,"view":["public","nuri"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Excel"],"description":"This dataset consists of palaeoecological measurements taken at sites in the Peak District and NW Sutherland during the NERC Rural Economy and Land Use (RELU) programme. This data collection includes the results from four interlinked projects combining quantitative and qualitative evidence to assess long-term ecological data at local to national levels: Project 1 synthesises existing information on historical environmental changes in the uplands with relevance to current management and policy Project 2 used high resolution palaeoenvironmental analyses to reconstruct ecological changes and land-use histories of four contrasting moorland systems in the Peak District (England) over the last c.200-1300 yrs. Sites were selected in consultation with stakeholders and the results provide the basis for comparison with ecological survey results and knowledge of current managers. Project 3 used similar methods to reconstruct ecological and land-use changes in NW Sutherland (Scotland) over the last c.400 yrs. Site selection was based on discussion with stakeholders and results were compared with stakeholder knowledge and preferences for landscape change. Project 4 used three choice experiments to assess the response of different communities to long-term evidence as a potential source of information to inform preferences for upland management. Project 4a used a choice experiment to assess the influence of long-term evidence on management preferences of residents of the Peak District. Project 4b used choice experiments to present long-term evidence to ecologists from government, NGO, research and practitioner communities in conjunction with established sources of ecological evidence used in upland management (ecological monitoring and ecological research) and with stakeholder preferences for upland management, since this is increasingly becoming embedded in decision-making. The upland woods and peatlands were used as the contexts for two choice experiments. This dataset consists of palaeoecological measurements taken at sites in the Peak District and NW Sutherland, as part of projects 2 and 3 as listed above. The choice experiment data from this study are available at the UK Data Archive under study number 6791 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Davies"],"fullName":["Davies, A."],"funder":["Economic and Social Research Council"],"givenName":["Althea"],"identifier":"fca22a48-0f2c-4557-bb38-0fbaf4237a02","incomingCitationCount":0,"keyword":["Rural Economy and Land Use Programme","Foundations for the Future: Learning from the Past","PEAK DISTRICT","SUTHERLAND (COUNTY)"," CONSERVATION OF NATURE","HEATHLANDS","ecology","ecosystem services","environmental conservation","degradation of the environment","PALAEOECOLOGY ","MOORLANDS","PEAT BOGS ","STAKEHOLDERS","sustainable development"],"keywordsOther":["Rural Economy and Land Use Programme","Foundations for the Future: Learning from the Past","PEAK DISTRICT","SUTHERLAND (COUNTY)"," CONSERVATION OF NATURE","HEATHLANDS","ecology","ecosystem services","environmental conservation","degradation of the environment","PALAEOECOLOGY ","MOORLANDS","PEAT BOGS ","STAKEHOLDERS","sustainable development"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-229-27-0003 ","locations":["POLYGON((-5.154 53.386, -5.154 58.17, -1.706 58.17, -1.706 53.386, -5.154 53.386))"],"metadataDate":"2026-07-25T18:11:01.000Z","organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-02-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1320338726697","CEH:EIDC::1320338726697","https://catalogue.ceh.ac.uk/id/fca22a48-0f2c-4557-bb38-0fbaf4237a02"],"resourceType":"Dataset","ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of palaeoecological measurements taken at sites in the Peak District and NW Sutherland during the NERC Rural Economy and Land Use (RELU) programme. This data collection includes the results from four interlinked projects combining quantitative…","state":"published","supplementalDescription":["UKDA hosted RELU Knowledge Portal"],"supplementalName":["RELU Knowledge Portal"],"temporalExtentText":"Data collected from 2008 to 2008","title":"Palaeoecological measurements from the Peak District and north west Sutherland 2007-2010 - RELU Foundations for the future: learning from the past","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Hall"],"authorFullName":["Hall, J."],"authorGivenName":["J."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data provide critical loads of acidity, and of nutrient nitrogen for the distributions of UK habitats sensitive to acidification and/or eutrophication. Critical loads have been calculated and applied to UK natural and semi-natural habitats sensitive to acidification and/or eutrophication (excess nitrogen as a nutrient).  Critical loads data are available for these habitat types at 1x1 km resolution for the UK.  In addition, acidity critical loads are available for 1752 selected freshwater sites throughout the UK. Critical loads are defined as the maximum pollutant load (of acid or nitrogen deposition) that a sensitive element of the environment (e.g., soils, vegetation) can tolerate without adverse harmful effects occurring, according to present knowledge. \n\nHabitat distributions are defined from a combination of CEH Land Cover Map 2000 and a number of ancillary data sets (e.g., species distributions, altitude, soils), used to further refine their distributions.  It should be noted that the habitat distributions maps and areas provided here and used for UK critical loads research for Defra (a) only include areas where data exist for the calculation or derivation of critical loads; (b) may differ from other national habitat distribution maps or estimates of habitat areas.  This may also result in a difference in the total habitat areas mapped for acidity and for nutrient nitrogen critical loads.\n\nThe data have been generated under numerous Defra-funded contracts that brought together UK experts on the impacts of air pollution on UK habitats.  The acidity critical loads data were last revised in 2004 and the nutrient nitrogen critical loads data were updated in 2011.  The data are based on methods agreed at national and international meetings and workshops held under the UNECE Convention on Long-Range Transboundary Air Pollution (CLRTAP).","documentType":"GEMINI_DOCUMENT","familyName":["Hall","Rowe"],"fullName":["Hall, J.","Rowe, E."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["J.","Ed"],"identifier":"299e2779-0787-46bb-9482-03ad474eae27","incomingCitationCount":1,"keyword":["Pollution","nutrient nitrogen","acidity","critical load"],"keywordsOther":["nutrient nitrogen","acidity","critical load"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The methods used to calculate UK critical loads are based on internationally agreed approaches and the best available national-scale data sets.  Acidity critical loads for terrestrial habitats are based on the mineralogy and chemistry of the dominant soil type in each 1x1 km grid square (with the exception of the bog habitat which is assumed to be on peat), together with habitat-specific data.  For woodland habitats simple mass balance equations, based on balancing the acidic inputs to, and outputs from a system, are used to derive a critical load that ensures the selected chemical criterion is not exceeded.  Acidity critical loads are mapped for the following habitats: acid grassland, calcareous grassland, dwarf shrub heath, bog, montane, managed (productive) coniferous woodland, managed (productive) broadleaved woodland, and unmanaged woodland.  Acidity critical loads for 1752 surface waters in acid-sensitive regions of the UK are calculated using the catchment-based First-order Acidity Balance (FAB) model.  The acidity critical loads consist of three separate values for each habitat:\n *\tCLmaxS = maximum critical load of sulphur: the acidity critical load expressed in terms of sulphur only, when nitrogen deposition is zero\n *\tCLmaxN = maximum critical load of nitrogen: the acidity critical load expressed in terms of nitrogen only, when sulphur deposition is zero\n *\tCLminN = minimum critical load of nitrogen: representing the long term nitrogen removal processes in the soil (e.g. nitrogen uptake and immobilisation) and harvesting of vegetation.\n\nCritical loads of nutrient nitrogen for natural and semi-natural habitats, and unmanaged (non-productive) woodlands are empirically derived values based on observed changes in the structure or function of ecosystems.  For managed (productive) woodlands a nitrogen mass balance approach is used to derive critical loads that will prevent an increase in the leaching of nitrogen compounds and ensure sustainable production.  Nutrient nitrogen critical loads are mapped for the following habitats: acid grassland, calcareous grassland, dwarf shrub heath, bog, montane, managed (productive) coniferous woodland, managed (productive) broadleaved woodland, unmanaged Beech woodland, unmanaged acidophilous oak woodland, unmanaged Scots Pine woodland, other unmanaged woodland, dune grasslands, saltmarsh.  \n\nA full description of the methods and data used to derive and calculate UK critical loads of acidity and nutrient nitrogen can be found in the 'Methods Report' (Hall et al, 2015).\n\nHall, J., Curtis, C., Dore, T., Smith, R.  2015.  Methods for the calculation of critical loads and their exceedances in the UK.  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Critical loads have been calculated and applied to UK natural and semi-natural habitats sensitive to acidification…","state":"published","supplementalDescription":["This website provides the key mechanism by which the scientific understanding of the effects of nitrogen and sulphur deposition on terrestrial and aquatic ecosystems is translated into policy-relevant predictions of the spatial extent and timescales of damage and recovery.  It brings together the mapping and modelling of critical loads and critical levels, pollutant deposition and concentrations, to generate critical load and critical level exceedance data.  "],"supplementalName":["UK Critical Loads and Dynamic Modelling"],"temporalExtentText":"Data collected from 2004 to 2011","title":"Critical loads of acidity and nutrient nitrogen for UK habitats","topic":["0/Pollution/"],"version":1.0,"view":["public","leav"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Research Systems & Controls"],"authorFamilyName":["Feuchtmayr","Clarke","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.","Maberly, S.C."],"authorGivenName":["H.","M.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Air temperature, solar radiation flux, wind speed and lake water temperatures at 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12 m depth are measured at an automatic monitoring buoy in Blelham Tarn. All data is given in GMT (Greenwich Mean Time). \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":["Feuchtmayr","Clarke","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.","S.C.","Heidrun"],"grant":["NE/R016429/1"],"identifier":"467942bd-2cd5-4038-bc4f-5d77535d99f1","incomingCitationCount":1,"keyword":["Lake District National Park","Blelham Tarn","UK-SCAPE","Lake temperature","temperature depth profile","air temperature","solar radiation flux","wind speed","high resolution data","hourly data"],"keywordsPlace":["Lake District National Park","Blelham Tarn"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Lake temperature","temperature depth profile","air temperature","solar radiation flux","wind speed","high resolution data","hourly data"],"licence":"Open government licence","lineage":"The instruments measure data every four minutes, the hourly averages provided in this dataset are calculated by an Oracle database. The average is calculated over the previous hour, e.g. the value for 2 pm is the average of the data between 1 and 2 pm, excluding the data measured at 1 pm but including the data measured at 2 pm. \n\nData has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed. Any data gaps are due to buoy maintenance work or sensor/logger problems.","locations":["POLYGON((-3.826 54.486, -3.826 55.787, -1.594 55.787, -1.594 54.486, -3.826 54.486))"],"metadataDate":"2026-07-24T21:17:09.000Z","orcid":["0000-0002-2028-4843","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","Research Systems & Controls","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/467942bd-2cd5-4038-bc4f-5d77535d99f1","10.5285/467942bd-2cd5-4038-bc4f-5d77535d99f1","doi:10.5285/467942bd-2cd5-4038-bc4f-5d77535d99f1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Air temperature, solar radiation flux, wind speed and lake water temperatures at 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12 m depth are measured at an automatic monitoring buoy in Blelham Tarn. All data is given in GMT (Greenwich Mean Time). \n\nThis work was supported…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Hourly data from automatic water monitoring buoy from Blelham Tarn, 2019","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Swansea University","US Forest Service","Instituto Mixto de Investigación en Biodiversidad","Forest Research"],"authorFamilyName":["Cabo","Santin","Doerr","Parsons","Hudak","Laino","Suarez-Minguez"],"authorFullName":["Cabo, C.","Santin, C.","Doerr, S.","Parsons, R.A.","Hudak, A.T.","Laino, D.","Suarez-Minguez, J.C."],"authorGivenName":["C.","S.","R.A.","A.T.","D.","J.C."],"authorOrcid":["0000-0002-0387-9052","0000-0001-9901-2658","0000-0002-8700-9002","0000-0001-5091-8993","0000-0001-7480-1458","0000-0002-7106-0559","0000-0001-5146-4065"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/03zmjc935","https://ror.org/02cp22d42","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":[".laz"],"description":"This dataset consists of high-resolution 3D point clouds of temperate forest stands of diverse species. The point clouds were obtained across the US and the UK during 2019 and 2020. The US point clouds were acquired using a Riegl-VZ400i TLS scanner in Sycan Marsh, Oregon and the UK point clouds were acquired using a GeoSLAM ZEB Horizon in Loch Lomond, Scotland. This dataset can be used to explore structural differences across forests and as test data for 3D point cloud pipelines.","documentType":"GEMINI_DOCUMENT","familyName":["Cabo","Santin","Doerr","Parsons","Hudak","Laino","Suarez-Minguez"," Laino"],"fullName":["Cabo, C.","Santin, C.","Doerr, S.","Parsons, R.A.","Hudak, A.T.","Laino, D.","Suarez-Minguez, J.C.","Diego Laino"],"funder":["Natural Environment Research Council"],"givenName":["C.","S.","R.A.","A.T.","D.","J.C.","D"],"grant":["NE/T001194/1"],"identifier":"ff062c22-1297-4819-a40f-6585209d4c5e","incomingCitationCount":0,"keyword":["Mapping","forestry","fuel","modelling","remote sensing"],"keywordsOther":["forestry","fuel","modelling","remote sensing"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"US Point clouds:\nPoint cloud acquisition was done between 8th and 12th July 2019 in a 200x200 m2 study plot of a ponderosa pine woodland in Sycan Marsh preserve, Oregon, USA. TLS point cloud sampling was performed along a 50 m grid to create a synoptic scan. The point clouds have been acquired with a RIEGL-VZ400i TLS system with a laser sampling rate 750 kHz and a vertical sampling density of 0.21 degrees, mounted on a tripod at a minimum height of 1.5 m. Point cloud was georeferenced using the integrated L1 GPS receiver, compass and inclination sensors of the TLS system and ground control points whose coordinates were recorded were recorded using an RTK/Differential GPS receiver/base combination. The raw scans were pre-processed using Riegl's proprietary software RiSCAN PRO to assign metadata (scanner position, scan ID, date/time), align all scans into a common coordinate system and divide the total study area in 40 x 40 m2 plots (n = 25 plots). These resulting plots were finally stored into LAZ files.\n\nUK Point clouds:\nPoint cloud acquisition was done between 24th and 28th November 2020 in different plots of Loch Lomond. MLS point cloud sampling was performed along approximately 30x30 m plots. The point clouds have been acquired with a GeoSLAM ZEB Horizon handheld MLS system with a laser sampling rate 300 kHz and a vertical sampling density of 0.20 degrees, with a field of view of 360° x 270°. The raw scans were pre-processed using Faro's proprietary software Faro Connect to assign metadata (scanner position, scan ID, date/time), apply an SLAM algorithm to each scan to register the point clouds and to denoise them. The point clouds were then exported to CloudCompare to trim them to the final shapes. These resulting plots were finally stored into LAZ files","locations":["POLYGON((-127.259 23.745, -127.259 60.861, 1.768 60.861, 1.768 23.745, -127.259 23.745))"],"metadataDate":"2026-09-02T11:44:07.000Z","orcid":["0000-0002-0387-9052","0000-0001-9901-2658","0000-0002-8700-9002","0000-0001-5091-8993","0000-0001-7480-1458","0000-0002-7106-0559","0000-0001-5146-4065"],"organisation":["Swansea University","US Forest Service","Instituto Mixto de Investigación en Biodiversidad","Forest Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ff062c22-1297-4819-a40f-6585209d4c5e","10.5285/ff062c22-1297-4819-a40f-6585209d4c5e","doi:10.5285/ff062c22-1297-4819-a40f-6585209d4c5e"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/053fq8t95","https://ror.org/03zmjc935","https://ror.org/02cp22d42","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of high-resolution 3D point clouds of temperate forest stands of diverse species. The point clouds were obtained across the US and the UK during 2019 and 2020. The US point clouds were acquired using a Riegl-VZ400i TLS scanner in Sycan Marsh, Oregon…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"3D point clouds of temperate forest stands in the UK and US, 2019-2020","topic":["0/Mapping/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor"],"authorFullName":["Taylor, P.J."],"authorGivenName":["P.J."],"authorOrcid":["0000-0003-1663-9426"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["GeoPackage"],"description":"The dataset is the lake polygons from the UK Lakes Portal (https://uklakes.ceh.ac.uk/), originally based on OS PANORAMA but this dataset includes data from a number of sources. It has a basic set of attributes including the water body ID (WBID) as well as the computed area and perimeter of each lake. The WBID is commonly used across research institutions and is the same ID as used on the UK Lakes Portal, where more information can be found on each lake in this dataset. This is v3.6, which follows the same versioning as the underlying database. Although the database has seen the majority of the changes since version 1, the polygons have also been changed and improved over that time, mostly fixing issues with lake outlines, but also some new sites being added.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor"],"fullName":["Taylor, P.J."],"givenName":["P.J."],"identifier":"b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb","incomingCitationCount":1,"keyword":["Mapping","Hydrology","Land cover","Lakes","lake polygons","waterbodies","loch","llyn","lough","standing waters","freshwater"],"keywordsOther":["Lakes","lake polygons","waterbodies","loch","llyn","lough","standing waters","freshwater"],"keywordsTheme":["Mapping","Hydrology","Land cover"],"licence":"Open government licence","lineage":"The development of the database was jointly funded by the Environment Agency, Natural England, Countryside Council for Wales (now Natural Resources Wales), and the Scotland and Northern Ireland Forum for Environmental Research (SNIFFER).\n\nLake polygon geometry in Northern Ireland is based upon Crown Copyright and is reproduced with the permission of Land & Property Services under delegated authority from the Controller of Her Majesty's Stationery Office, Crown copyright and database rights, EMOU206.2. Northern Ireland Environment Agency Copyright 2015.\n\nLake polygon geometry in Great Britain is mostly based on Ordnance Survey data and contains public sector information licensed under the Open Government Licence v3.0.\n\nThis is version 3.6 of the dataset, with the versioning being aligned with the ongoing development of the underlying UK lakes database: https://uklakes.ceh.ac.uk/.\n\nThis is the first published version in a datacentre, with all changes to polygon outlines from version 1 being represented here.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:56:03.000Z","orcid":["0000-0003-1663-9426"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Ordnance Survey"],"publicationDate":"2021-11-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb","10.5285/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb","doi:10.5285/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Ordnance Survey"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset is the lake polygons from the UK Lakes Portal (https://uklakes.ceh.ac.uk/), originally based on OS PANORAMA but this dataset includes data from a number of sources. It has a basic set of attributes including the water body ID (WBID) as well as the computed…","state":"published","supplementalDescription":["The UK Lakes Portal uses the same underlying spatial data with additional data for each lake as well as information relating to the lake catchment (for most lakes >1ha) and linked external data (water quality, biology, hyrdology etc) where available. The site uses the same identifier (WBID) as this dataset."],"supplementalName":["UK Lakes Portal "],"title":"Spatial inventory of UK waterbodies","topic":["0/Mapping/","0/Hydrology/","0/Land cover/"],"version":3.6,"view":["public","crimar"]},{"authorAffiliation":["British Geological Survey"],"authorFamilyName":["Bloomfield","Marchant","Wang"],"authorFullName":["Bloomfield, J.P.","Marchant, B.P.","Wang, L."],"authorGivenName":["J.P.","B.P.","L."],"authorRor":["https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Monthly Standardised Groundwater level Index (SGI) for observation boreholes across the UK from 1891 to 2015, based on reconstructed groundwater level time series (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16). Standardised groundwater levels have been estimated using a non-parametric normal scores transform of groundwater level data for each calendar month. Probability estimates of an SGI being less than 0, -1, -1.5 and -2 are also provided. ","documentType":"GEMINI_DOCUMENT","familyName":["Bloomfield","Marchant","Wang"],"fullName":["Bloomfield, J.P.","Marchant, B.P.","Wang, L.","Bloomfield, J."],"funder":["Natural Environment Research Council"],"givenName":["J.P.","B.P.","L.","John"],"grant":["NE/L010151/1 "],"identifier":"d92c91ec-2f96-4ab2-8549-37d520dbd5fc","incomingCitationCount":3,"keyword":["United Kingdom","Historic Droughts","Droughts","Water scarcity","Drought inventory","Drought catalogue","Drought indicator","SGI","Standardised Groundwater level Index","Borehole"],"keywordsOther":["Droughts","Water scarcity","Drought inventory","Drought catalogue","Drought indicator","SGI","Standardised Groundwater level Index","Borehole"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Historic Droughts"],"licence":"Open government licence","lineage":"Monthly standardised groundwater levels have been estimated using a non-parametric normal scores transform for the data for each calendar month. The normal scores transform assigns a value to observations, in this case monthly reconstructed groundwater levels (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16), based on their rank within a data set, in this case groundwater levels for a given month from a given hydrograph. The normal scores transform is undertaken by applying the inverse normal cumulative distribution function to n equally spaced pi values ranging from 1/(2 n) to 1 - 1/(2 n). The values that result are the SGI values.\n\nThe quantification of uncertainty in the reconstructed groundwater levels for a given site is based on the Generalised Likelihood Uncertainty Estimation (GLUE) methodology. Parameter sets are considered to be behavioural if their Nash Sutcliffe Efficiency score exceeds 0.5. For each site, all of the behavioural groundwater level reconstructions are converted to SGI series. The probability of the SGI being within an interval on a particular date is equal to the proportion of these behavioural SGI series that fall within this interval and the probability of SGI being less than 0, -1, -1.5 and -2 is reported.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:43:40.000Z","organisation":["British Geological Survey","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d92c91ec-2f96-4ab2-8549-37d520dbd5fc","10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc","doi:10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc"],"resourceType":"Dataset","ror":["https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"Monthly Standardised Groundwater level Index (SGI) for observation boreholes across the UK from 1891 to 2015, based on reconstructed groundwater level time series (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16). Standardised groundwater…","state":"published","temporalExtentText":"Data collected from 1891 to 2015","title":"Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015) ","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorOrcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover. \n\nA full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"1e09f53f-55de-4960-b2a1-da2a42029e7e","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Biodiversity Action Plan","mapping","land cover"],"keywordsOther":["Biodiversity Action Plan","mapping","land cover"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. 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.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2022 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this dataset.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:18:35.000Z","orcid":["0000-0002-2070-2187","0000-0003-3947-6463","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/1e09f53f-55de-4960-b2a1-da2a42029e7e","10.5285/1e09f53f-55de-4960-b2a1-da2a42029e7e","doi:10.5285/1e09f53f-55de-4960-b2a1-da2a42029e7e"],"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 Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type;…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Land Cover Map 2022 (10m classified pixels, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Mittal","Whitfield"],"authorFullName":["Mittal, N.","Whitfield, S."],"authorGivenName":["N. ","Stephen"],"authorOrcid":["0000-0002-3040-778X"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Word (docx)"],"description":"The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic factors affected agricultural decision-making. \n\nThe data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi).","documentType":"GEMINI_DOCUMENT","familyName":["Mittal","Whitfield"],"fullName":["Mittal, N.","Whitfield, S."],"funder":["Natural Environment Research Council"],"givenName":["N. ","Stephen"],"grant":["NE/S005900/1"],"identifier":"199b0046-79a3-4e74-8152-17f10c376671","incomingCitationCount":0,"keyword":["Africa","Agriculture","Agro-climate indices","Maize","Farmers","Decision making","extreme weather","weather","ecosystem services","agriculture"],"keywordsOther":["Agro-climate indices","Maize","Farmers","Decision making","extreme weather","weather","ecosystem services","agriculture"],"keywordsPlace":["Africa"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Between April and May 2019 15 focus group discussions (FGDs) were conducted across five Extension Planning Areas (EPAs); 10 FGDs with farmers and 5 FGDs with Agricultural Extension Development Officers (AEDOs). The farmers involved in the FGD were selected by the AEDOs and included both male and female farmers (and amongst which one or more than one was the lead farmer i.e., farmer representative). In total, 70 female farmers and 48 male farmers, and 21 AEDOs participated in the FGDs. The age of male farmer and female farmer participants ranged from 28–58 to 20–54, respectively. As part of the FGDs these seasonal calendars were used to guide the discussion. \n\nThe FGDs were conducted in the local language Chichewa, facilitated by a local research assistant who audio recorded, translated and transcribed the discussions.\n","locations":["POLYGON((33.877 -15.512, 33.877 -13.726, 35.722 -13.726, 35.722 -15.512, 33.877 -15.512))"],"metadataDate":"2026-07-24T19:14:09.000Z","orcid":["0000-0002-3040-778X"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/199b0046-79a3-4e74-8152-17f10c376671","10.5285/199b0046-79a3-4e74-8152-17f10c376671","doi:10.5285/199b0046-79a3-4e74-8152-17f10c376671"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Seasonal agricultural calendars presenting activities per month for farmers in Malawi, April-May 2019","topic":["0/Agriculture/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Winfield","Fletcher","James"],"authorFullName":["Winfield, I.J.","Fletcher, J.M.","James, J.B."],"authorGivenName":["I.J.","J.M.","J.B."],"authorOrcid":["0000-0001-9296-5114","0000-0002-8788-8449"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of survival (binary) data derived from capture-mark-recapture on Pike (Esox lucius) from net and angling sampling in Windermere. Data collection began in 1944. 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.","documentType":"GEMINI_DOCUMENT","familyName":["Winfield","Fletcher","James"],"fullName":["Winfield, I.J.","Fletcher, J.M.","James, J.B."],"givenName":["I.J.","J.M.","J.B."],"identifier":"813e07dd-2135-49bc-93c6-83999e442b36","incomingCitationCount":3,"keyword":["Windermere","Lake District","Biodiversity","Esox lucius","lake"],"keywordsOther":["Esox lucius","lake"],"keywordsPlace":["Windermere","Lake District"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"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. 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":"2026-07-25T08:35:53.000Z","orcid":["0000-0001-9296-5114","0000-0002-8788-8449"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-09-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1377850488226","CEH:EIDC::1377850488226","https://catalogue.ceh.ac.uk/id/813e07dd-2135-49bc-93c6-83999e442b36","10.5285/813e07dd-2135-49bc-93c6-83999e442b36","doi:10.5285/813e07dd-2135-49bc-93c6-83999e442b36"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of survival (binary) data derived from capture-mark-recapture on Pike (Esox lucius) from net and angling sampling in Windermere. Data collection began in 1944. The data were initially collected by the Freshwater Biological Association (FBA) but…","state":"published","temporalExtentText":"Data collected from 1953 to 1990","title":"Pike survival data 1953-1990","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Met Office"],"authorFamilyName":["George","Weedon","Hayman","Gerard"],"authorFullName":["George, C.T.","Weedon, G.P.","Hayman, G.","Gerard, F.F."],"authorGivenName":["C.T.","G.P.","G.","F.F."],"authorOrcid":["0000-0001-6318-2196","0000-0003-1262-9984","0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01ch2yn61"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for Meso- and South America. The values given represent a conservative measure of the amplitude after the annual cycle was identified and tested for significance by means of the Lomb-Scargle Transform. The amplitude was derived for four sets of vegtation indices (VI) time-series based on the MODIS VI products (500m MOD13A1; 1000m MOD13A2). The amplitude value can be interpreted as the degree in which the life cycles of individual leaves of plants observed within a pixel are synchronised. In other words, given the local variation in environment and climate and the diversity of species leaf life cycle strategies, an image pixel will represent vegetation communities behaving between two extremes: \n* well synchronized, where the leaf bud burst and senescence of the individual plants within the pixel occurs near simultaneously, yielding a high amplitude value. Often this matches with an area of low species diversity (e.g. arable land) or with areas where the growth of all plants is controlled by the same driver (e.g. precipitation).\n* poorly synchronized, where the leaf bud burst and senescence of individual plants within a pixel occurs at different times of the year, yielding a low amplitude value. Often this matches with an area of high species diversity and/or where several drivers could be controlling growth.","documentType":"GEMINI_DOCUMENT","familyName":["George","Weedon","Hayman","Gerard"],"fullName":["George, C.T.","Weedon, G.P.","Hayman, G.","Gerard, F.F.","George, C."],"givenName":["C.T.","G.P.","G.","F.F.","Charles"],"identifier":"dae416b4-3762-45bd-ae14-c554883d482c","incomingCitationCount":1,"keyword":["Phenology","vegetation index (VI)","normalized difference vegetation index (NDVI)","enhanced vegetation index (EVI)"],"keywordsOther":["vegetation index (VI)","normalized difference vegetation index (NDVI)","enhanced vegetation index (EVI)"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"The key underlying method is the Lomb-Scargle (LS) a well established and efficient methodology to analyse time series data. The LS can be used for the detection of regular cycles, even when hidden in a noisy background and when the time series in question contains data gaps. The LS estimates a power spectrum that indicates the average variance in a time series at different time scales or frequencies. Standard linear de-trending of the data before application of the LS allows an analysis of a 'stationary' time series as the mean and variance should ideally be more-or-less constant.\n\nWe used two approaches to evaluate the amplitude values. The first involved comparing the full extent of the amplitude data grids with the independent International Geosphere-Biosphere Programme (IGBP) land cover map. This was done with histograms showing the distribution of the amplitude values found within each of the IGBP cover classes. The second approach compared published in situ site observations that describe canopy leaf life cycles through leaf flushing and falling, LAI and litter fall or other observations, with the corresponding amplitude values of these sites.\n","locations":["POLYGON((-120.685 -58.002, -120.685 33.843, -32.091 33.843, -32.091 -58.002, -120.685 -58.002))"],"metadataDate":"2026-07-25T14:22:54.000Z","orcid":["0000-0001-6318-2196","0000-0003-1262-9984","0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","Met Office","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dae416b4-3762-45bd-ae14-c554883d482c","10.5285/dae416b4-3762-45bd-ae14-c554883d482c","doi:10.5285/dae416b4-3762-45bd-ae14-c554883d482c"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/01ch2yn61","https://ror.org/04xw4m193"],"shortenedDescription":"The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for…","state":"published","temporalExtentText":"Data collected from 2000 to 2013","title":"Leaf phenology synchrony for Meso- and South America v2","topic":["0/Phenology/"],"version":2.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Forest Research","University College Dublin"],"authorFamilyName":["Mason","Ashwood","Schmidt","Cosby","Keith"],"authorFullName":["Mason, K.E.","Ashwood, F.","Schmidt, O.","Cosby, J.","Keith, A.M."],"authorGivenName":["K.E.","F.","O.","J.","A.M."],"authorOrcid":["0000-0003-3426-3178","0000-0001-7540-1712","0000-0003-0098-7960","0000-0001-5645-3373","0000-0001-9619-1320"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’).  These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891.  Source meta-data covers the type of quantitative earthworm data (i.e. incidence, abundance, biomass, taxa), methodological details (e.g. sampling method/s, location/s, whether sampled plots were natural or experimental, sampling year/s), and environmental information (e.g. habitat/land-use, inclusion of climate data and basic soil properties). Data sources were collected through literature searches on Web of Science and Google Scholar, as well as directly from original authors/data holders where possible.  The data sources were compiled with the aim of gathering quantitative data on earthworm species and populations to develop earthworm abundance and niche models, and toward a modelling framework for earthworm impacts on soil processes. \n\nThis work is part of the Soil Organic Carbon Dynamics (SOC-D) project funded by the NERC UK-SCAPE programme (Grant reference NE/R016429/1).","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Ashwood","Schmidt","Cosby","Keith"],"fullName":["Mason, K.E.","Ashwood, F.","Schmidt, O.","Cosby, J.","Keith, A.M.","Mason, K."],"funder":["Natural Environment Research Council"],"givenName":["K.E.","F.","O.","J.","A.M.","Kelly"],"grant":["NE/R016429/1"],"identifier":"1a1000a8-4e7e-4851-8784-94c7ba3e164f","incomingCitationCount":0,"keyword":["Biodiversity","Soil","Worm","UK","Ireland","Lumbricidae’","ecosystem engineer","earthworm"],"keywordsOther":["Worm","UK","Ireland","Lumbricidae’","ecosystem engineer","earthworm"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"A systematic literature search was conducted to find data sources using Web of Science and Google Scholar (in June/July 2020). This used the following search term: \n(Earthworm* OR Oligochaeta OR Annelid* OR Lumbric* OR Clitellat*) AND (Diversity OR “Species richness” OR “OTU” OR Abundance OR individual* OR Density OR “tax* richness” OR “Number” OR Richness OR Biomass) AND (UK OR “United Kingdom” OR England OR Wales OR Scotland OR “NI” OR “Northern Ireland” OR “Ireland” OR “ROI”) \nPublications were selected and meta-data recorded if they contained location information and the presence of at least one species of earthworm or abundance/biomass data obtained from the field.  Further publications were found through screening of review papers and contact with selected authors for additional information and resources, including published and unpublished datasets.  In total, 257 data sources were compiled.   Original sources (i.e. published papers, book chapters) could not be obtained for 17 studies at the time of compiling meta-data and are thus lacking any additional information. \n","locations":["POLYGON((-11.285 49.58, -11.285 60.861, 1.768 60.861, 1.768 49.58, -11.285 49.58))"],"metadataDate":"2026-07-24T19:14:49.000Z","orcid":["0000-0003-3426-3178","0000-0001-7540-1712","0000-0003-0098-7960","0000-0001-5645-3373","0000-0001-9619-1320"],"organisation":["UK Centre for Ecology & Hydrology","Forest Research","University College Dublin","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a1000a8-4e7e-4851-8784-94c7ba3e164f","10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f","doi:10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’).  These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891.  Source meta-data…","state":"published","temporalExtentText":"Data collected from 1891 to 2021","title":"A compendium of earthworm data sources and associated information from the UK and Ireland, 1891-2021","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS"],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McCarney","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood"],"authorFullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McCarney, B.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"authorOrcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338","0000-0002-6631-0672"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Rabbit and deer data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected by transect at ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts (of deer, rabbits - and where appropriate sheep and Grouse) to estimate relative abundance. They represent twice-yearly continuous records from 1993 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McCarney","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McCarney, B.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"identifier":"0be0aed3-f205-4f1f-a65d-84f8cfd8d50f","incomingCitationCount":1,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Environmental Change Network","ILTER","LTER","Oryctolagus cuniculus","Capreolus capreolus","Cervus elaphus"],"keywordsOther":["Oryctolagus cuniculus","Capreolus capreolus","Cervus elaphus"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsProject":["Environmental Change Network","ILTER","LTER"],"licence":"Open government licence","lineage":"Data are collected by transect at all of ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts to estimate relative abundance. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:59:51.000Z","orcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338","0000-0002-6631-0672"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Environmental Change Network","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-12-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0be0aed3-f205-4f1f-a65d-84f8cfd8d50f","10.5285/0be0aed3-f205-4f1f-a65d-84f8cfd8d50f","doi:10.5285/0be0aed3-f205-4f1f-a65d-84f8cfd8d50f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Rabbit and deer data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected by transect at ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts (of deer, rabbits - and where…","state":"published","temporalExtentText":"Data collection started in 1993","title":"UK Environmental Change Network (ECN) rabbit and deer data: 1993-2015","version":1.0,"view":["kath","srennie","phtr","public"]},{"authorAffiliation":["University of Cambridge","University of Exeter"],"authorFamilyName":["Jackson","Bittencourt","Coomes"],"authorFullName":["Jackson, T.D.","Bittencourt, P.","Coomes, D.A."],"authorGivenName":["T.D. ","P.","D.A. "],"authorOrcid":["0000-0001-8143-6161","0000-0002-1618-9077","0000-0002-8261-2582"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.\n\nThis data was collected for the purpose of estimating the risk of wind damage to these trees. It could also be used to estimate the fundamental sway frequencies of the trees, and how they change over time, which varies with leaf phenology and tree water content. There are lots of short data gaps due to transmission issues in the forest.","documentType":"GEMINI_DOCUMENT","familyName":["Jackson","Bittencourt","Coomes"],"fullName":["Jackson, T.D.","Bittencourt, P.","Coomes, D.A.","Jackson, T."],"funder":["Natural Environment Research Council"],"givenName":["T.D. ","P.","D.A. ","Toby"],"grant":["NE/S010750/1"],"identifier":"f03806fa-3596-4119-90c5-70254f39cfc0","incomingCitationCount":0,"keyword":["Panama","Barro Colorado Island","Hydrology","Bending strain","Tree mortality","ecology","forest","wind","tree","risk"],"keywordsOther":["Bending strain","Tree mortality","ecology","forest","wind","tree","risk"],"keywordsPlace":["Panama","Barro Colorado Island"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Bending strain sensors were designed and installed on the trees in Barro Colorado Island, Panama. These sensors recorded the bending strain (in mV) at 4 Hz resolution and transmitted it (in binary format) to a data logger where it was saved on an SD. \nThe data was collected from the SD cards and converted from binary format to csv files. The mV measurements were converted to bending strain by multiplying by a fixed calibration coefficient. This 4 Hz bending strain data is provided here. ","locations":["POLYGON((-79.876 9.133, -79.876 9.18, -79.819 9.18, -79.819 9.133, -79.876 9.133))"],"metadataDate":"2026-09-15T08:45:06.000Z","orcid":["0000-0001-8143-6161","0000-0002-1618-9077","0000-0002-8261-2582"],"organisation":["University of Cambridge","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f03806fa-3596-4119-90c5-70254f39cfc0","10.5285/f03806fa-3596-4119-90c5-70254f39cfc0","doi:10.5285/f03806fa-3596-4119-90c5-70254f39cfc0"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193","https://ror.org/013meh722"],"shortenedDescription":"This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.\n\nThis data was collected for the purpose…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of East Anglia","ZSL Institute of Zoology","University of Bristol"],"authorFamilyName":["Carvell","Bourke","Dreier","Freeman","Hulmes","Jordan","Redhead","Wang","Sumner","Heard"],"authorFullName":["Carvell, C.","Bourke, A.F.G.","Dreier, S.","Freeman, S.N.","Hulmes, S.","Jordan, W.C.","Redhead, J.W.","Wang, J.","Sumner, S.","Heard, M.S."],"authorGivenName":["C.","A.F.G.","S.","S.N.","W.C.","J.W.","J.","M.S."],"authorOrcid":["0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/026k5mg93","https://ror.org/05skxkv18","https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Family lineage relationships between spring queens, daughter workers and sister queens of three bumblebee species (Bombus terrestris, B. lapidarius and B. pascuorum) collected across the Hillesden Estate, Buckinghamshire, UK, between spring 2011 and spring 2012. A combination of land-use and habitat surveys, molecular genetics and spatial modelling was used to estimate the locations of wild colonies represented by greater than 1 worker and to calculate the proportions of cover represented by different habitat quality and land-use variables within four spatial scales from each colony location. 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":["Carvell","Bourke","Dreier","Freeman","Hulmes","Jordan","Redhead","Wang","Sumner","Heard"],"fullName":["Carvell, C.","Bourke, A.F.G.","Dreier, S.","Freeman, S.N.","Hulmes, S.","Jordan, W.C.","Redhead, J.W.","Wang, J.","Sumner, S.","Heard, M.S."],"givenName":["C.","A.F.G.","S.","S.N.","W.C.","J.W.","J.","M.S."],"identifier":"6be00174-6544-4156-b1df-8678f6df2034","incomingCitationCount":1,"keyword":["Buckinghamshire","Pollinators","Bombus terrestris","Bombus lapidarius","Bombus pascuorum"],"keywordsOther":["Bombus terrestris","Bombus lapidarius","Bombus pascuorum"],"keywordsPlace":["Buckinghamshire"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Bumblebee DNA was sampled non-lethally, stored, extracted and genotyped using recognised standard protocols (Dreier et al., 2014). The program COLONY v.2.0 was used to assign workers to full-sib groups and identify mother or sister queens from the same family lineages (with a genotyping error rate of 0-5% based on results of re-genotyping 10% of randomly selected individuals and scoring errors). Data were checked for errors at all stages by staff at the Centre for Ecology & Hydrology and at the Institute of Zoology. Analyses arising from the worker-only and landscape quality data have been peer reviewed and published in Molecular Ecology (Dreier et al., 2014; doi:10.1111/mec.12823) and Ecological Applications (Redhead et al., 2016; doi:10.1890/15-0546).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:48:00.000Z","orcid":["0000-0002-2233-3848"],"organisation":["Centre for Ecology & Hydrology","University of East Anglia","ZSL Institute of Zoology","University of Bristol","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6be00174-6544-4156-b1df-8678f6df2034","10.5285/6be00174-6544-4156-b1df-8678f6df2034","doi:10.5285/6be00174-6544-4156-b1df-8678f6df2034"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/026k5mg93","https://ror.org/05skxkv18","https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"Family lineage relationships between spring queens, daughter workers and sister queens of three bumblebee species (Bombus terrestris, B. lapidarius and B. pascuorum) collected across the Hillesden Estate, Buckinghamshire, UK, between spring 2011 and spring 2012. A combination…","state":"published","temporalExtentText":"Data collected from 2012 to 2012","title":"Family lineage and landscape quality data for wild bumblebee colonies across an agricultural landscape in Buckinghamshire, U.K.","topic":["0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"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":"2026-07-25T18:06:27.000Z","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","temporalExtentText":"Data collected from 1940 to 2012","title":"Windermere fish abundance 1940-2012","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"altTitle":["UK Ecological Survey 1978"],"availability":"Unknown","catalogue":"eidc","description":"A range of data has been gathered under the Countryside Survey project including habitat areas, vegetation species, soil data, linear feature data and freshwater habitats.  Data were gathered in the 1978 survey of Great Britain - the first Countryside Survey. \n\nCountryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. 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. The 1km square sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of Britain. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of survey squares.","documentType":"GEMINI_DOCUMENT","identifier":"3083609a-5f6e-4b33-a061-47275787b7e4","incomingCitationCount":0,"keyword":["Environmental survey"],"keywordsTheme":["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 Biodiversity Action Plan (BAP) Broad Habitats were digitized in 2009. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology. Refer to the online documentation associated with resources belonging to this parent record. (Click on the relevant icon at the top of record to list the resources belonging to this parent record.)","locations":["POLYGON((-8.648 49.863, -8.648 60.86, 1.7675 60.86, 1.7675 49.863, -8.648 49.863))"],"metadataDate":"2026-07-24T20:33:44.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-02-28T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3083609a-5f6e-4b33-a061-47275787b7e4"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A range of data has been gathered under the Countryside Survey project including habitat areas, vegetation species, soil data, linear feature data and freshwater habitats.  Data were gathered in the 1978 survey of Great Britain - the first Countryside Survey. \n\nCountryside…","state":"published","supplementalName":["Countryside survey website"],"temporalExtentText":"Data collected from 1977 to 1978","title":"Countryside Survey 1978","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Northumbria University","Universidade Federal de Minas Gerais","Universidade Federal do Acre","University of Brasília","University of Reading","Universidade Federal de Mato Grosso do Sul"],"authorFamilyName":["Whitney","Loughlin","Neves","D’Apolito","Assine","Mayle","Silva"],"authorFullName":["Whitney, B.S.","Loughlin, N.J.D.","Neves, D.M.","D’Apolito, C.","Assine, M.L.","Mayle, F.E.","Silva, A."],"authorGivenName":["Bronwen S.","N.J.D.","D.M.","C.","M.L.","F.E.","A."],"authorOrcid":["0000-0002-2329-9645","0000-0003-2205-044X","0000-0002-0855-4169","0000-0003-1602-0201","0000-0002-3097-5832","0000-0001-9208-0519","0000-0002-0630-9768"],"authorRor":["https://ror.org/049e6bc10","https://ror.org/0176yjw32","https://ror.org/05hag2y10","https://ror.org/05v62cm79","https://ror.org/0366d2847"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data include four charcoal concentration datasets derived from radiocarbon-dated lake sediments in the Brazilian Pantanal, from which regional fire histories can be inferred over the last few millennia. Each dataset provides raw counts of charcoal fragments > 125 um calculated per cubic centimetre of sediment. Samples measuring 0.5 to 1.5 cc were analysed at each 1-cm depth. Contained within each data sheet are radiocarbon dates for several horizons in the lake sediment for the derivation of age-depth models for a chronological framework for each record.","documentType":"GEMINI_DOCUMENT","familyName":["Whitney","Loughlin","Neves","D’Apolito","Assine","Mayle","Silva"],"fullName":["Whitney, B.S.","Loughlin, N.J.D.","Neves, D.M.","D’Apolito, C.","Assine, M.L.","Mayle, F.E.","Silva, A."],"funder":["Natural Environment Research Council"],"givenName":["Bronwen S.","N.J.D.","D.M.","C.","M.L.","F.E.","A."],"grant":["NE/T004525/1"],"identifier":"56915f15-46b5-4693-8737-28c985f27f80","incomingCitationCount":0,"keyword":["Palaeofire","Fire history","Palaeoenvironmental change","Pantanal","palaeoecology","fire","charcoal"],"keywordsOther":["Palaeofire","Fire history","Palaeoenvironmental change","Pantanal","palaeoecology","fire","charcoal"],"licence":"Open government licence","lineage":"Sediment samples were extracted at a 1 cm resolution through the studied cores and their volume measured using water displacement. Clay rich sediments (LM and LC) were treated with 200 ml of 7 % sodium hexametaphosphate (Na6P6O18) and organic rich sediments (MIM) in 200 ml of 10 % potassium hydroxide (KOH). Samples were deflocculated on a hot plate for 30 minutes at 80 oC. Residues from the organic rich sediments were additionally washed in deionized water and placed in 7 % hydrogen peroxide (H2O2) for 24 hours at room temperature. The residues were sieved at 125 μm and 250 μm. Residues were counted at 125 μm and 250 μm under a low powered microscope in a bogorov tray. Raw charcoal counts were converted to a concentration (particles cm3).  Sediment samples were obtained from discrete horizons from each core and sent for radiocarbon dating at commercial laboratory facilities.","locations":["POLYGON((-64.248 -18.238, -64.248 -4.464, -50.01 -4.464, -50.01 -18.238, -64.248 -18.238))"],"metadataDate":"2026-07-24T23:05:48.000Z","orcid":["0000-0002-2329-9645","0000-0003-2205-044X","0000-0002-0855-4169","0000-0003-1602-0201","0000-0002-3097-5832","0000-0001-9208-0519","0000-0002-0630-9768"],"organisation":["Northumbria University","Universidade Federal de Minas Gerais","Universidade Federal do Acre","University of Brasília","University of Reading","Universidade Federal de Mato Grosso do Sul","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/56915f15-46b5-4693-8737-28c985f27f80","10.5285/56915f15-46b5-4693-8737-28c985f27f80","doi:10.5285/56915f15-46b5-4693-8737-28c985f27f80"],"resourceType":"Dataset","rightsHolder":["Northumbria University"],"ror":["https://ror.org/049e6bc10","https://ror.org/0176yjw32","https://ror.org/05hag2y10","https://ror.org/05v62cm79","https://ror.org/0366d2847","https://ror.org/04xw4m193"],"shortenedDescription":"Data include four charcoal concentration datasets derived from radiocarbon-dated lake sediments in the Brazilian Pantanal, from which regional fire histories can be inferred over the last few millennia. Each dataset provides raw counts of charcoal fragments > 125 um…","state":"published","title":"Charcoal concentrations from radiocarbon-dated lake sediments in the Brazilian Pantanal","version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}