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In this project, the researchers have addressed issues of conflict and collaboration in ecological resource management using the example of wild deer in Britain. Deer are an excellent example since they highlight problems around ownership and because they offer both societal benefits and drawbacks. Wild deer are not owned, though the land they occupy is. As deer move around, they usually cross ownership boundaries and thus provoke potential conflicts between neighbouring owners who have differing management goals. Deer themselves are valued and a key component of the natural environment, but their feeding commonly limits or prevents woodland regeneration and can thus be harmful to ecological quality. Deer provide jobs but they also provoke traffic accidents. This study used a variety of methods from across the natural and social sciences, including choice experiments, semi-structured interviews with individuals and focus groups. It also incorporated the use of participatory GIS to map deer distributions and habitat preferences in conjunction with stakeholders. The study confirmed conventional wisdom about the importance of collaboration. However, it also showed that there were many barriers to achieving effective collaboration in practice, such as contrasting objectives, complex governance arrangements, power imbalances and personal relationships. Mechanisms for enhancing collaboration, such as incentives and incorporating deer within broader landscape management objectives, were examined. Though these proposals were worked out for the case of deer, they are likely to be applicable much more widely and should be considered in other cases of disputed or rapidly changing ecological resource management. This dataset consists of a survey of the vegetational impacts of deer in 20 forests. The interview and focus group transcripts, and the choice experiment datasets from this study are available at the UK Data Archive under study number 6545 (see online resources). 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Award Number: RES-224-26-0041 The vegetational impact data consists of measurements of ecological indicators including physical damage, diversity and density, further details of which can be found in the documentation the data files. Detailed information on the sampling methods used are currently not available.","locations":["POLYGON((-6.58 49.05, -6.58 55.94, 4.09 55.94, 4.09 49.05, -6.58 49.05))"],"metadataDate":"2026-07-25T12:56:24.000Z","organisation":["Macaulay Institute","University of York","Forest Research","NERC Environmental Information Data Centre","UK Data Service"],"publicationDate":"2008-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1297098008280","CEH:EIDC::1297098008280","https://catalogue.ceh.ac.uk/id/b75699cc-41c6-40a4-81ac-fc157958fc68"],"resourceType":"Dataset","ror":["https://ror.org/04m01e293","https://ror.org/03wcc3744","https://ror.org/04xw4m193","https://ror.org/0468x4e75"],"shortenedDescription":"This dataset consists of a survey of the vegetational impacts of deer in 20 forests as part of the NERC Rural Economy and Land Use (RELU) programme. It is widely accepted, at least in principle, that most kinds of natural resources are best handled collaboratively.…","state":"published","title":"Collaborative deer management - ecology data, 2006-2009","version":1.0,"view":["public","veerle@essex.ac.uk"]},{"authorAffiliation":["Cranfield University"],"authorFamilyName":["Nasar","Tyrrel"],"authorFullName":["Nasar, Z.A.","Tyrrel, S."],"authorGivenName":["Z.A.","S."],"authorOrcid":["0000-0002-9953-7144"],"authorRor":["https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data offers insights to utility of single particle ultraviolet light- induced fluorescence (UV-LIF) measurements in providing quantification and spatio-temporal characterisation of bioaerosols alongside the size distribution and characteristics of biological materials in airborne particles based on intrinsic bio fluorophores signatures. A novel ultraviolet light-induced fluorescence (UV-LIF) based bioaerosol sensor unit (Spectral Intensity Bioaerosol Sensor (SIBS)) was evaluated. The SIBS measures size, number, shape, and resolved fluorescence emission across 16 wavelength bands from 298 - 735 nm for two excitation wavelengths (285 nm and 370 nm) for single particles in real-time. Measurements entailed the chamber-based studies and real world environments (composting, dairy farms, chicken farms, sewage treatment plants, urban background, agricultural). This data stems as a part of a project (Detection and characterisation of inflammatory agents associated with bioaerosol emitted from biowaste and intensive agriculture) funded by the Natural Environment Research Council [NE/M01163/1]. The award was made under the auspices of the Environmental Microbiology and Human Health programme. The principal purpose was to assess the capabilities of the SIBS to enhance understanding of the bioaerosols emission and dispersion from industrial processes.","documentType":"GEMINI_DOCUMENT","familyName":["Nasar","Tyrrel"],"fullName":["Nasar, Z.A.","Tyrrel, S."],"funder":["Natural Environment Research Council"],"givenName":["Z.A.","S."],"grant":["NE/M011631/1"],"identifier":"98970053-b34c-44da-97bd-fbfc38fa8b7a","incomingCitationCount":0,"keyword":["Real-time monitoring"," Bioaerosol","Emissions characterisation","Ultraviolet light- induced fluorescence "],"keywordsOther":["Real-time monitoring"," Bioaerosol","Emissions characterisation","Ultraviolet light- induced fluorescence "],"licence":"Open government licence","lineage":"Data were generated through chamber based and real world measurements across different environments (composting, dairy farms, chicken farms, sewage treatment plants, urban background, agricultural).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:20:20.000Z","orcid":["0000-0002-9953-7144"],"organisation":["Cranfield University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/98970053-b34c-44da-97bd-fbfc38fa8b7a","10.5285/98970053-b34c-44da-97bd-fbfc38fa8b7a","doi:10.5285/98970053-b34c-44da-97bd-fbfc38fa8b7a"],"resourceType":"Dataset","rightsHolder":["Cranfield University"],"ror":["https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"The data offers insights to utility of single particle ultraviolet light- induced fluorescence (UV-LIF) measurements in providing quantification and spatio-temporal characterisation of bioaerosols alongside the size distribution and characteristics of biological materials…","state":"published","temporalExtentText":"Data collected from 2016 to 2018","title":"Real-time bioaerosol emission data from a range of environmental sources, UK, 2016-2018","version":1.0,"view":["public","margla"]},{"altTitle":["Data from the Whim Peatbog nitrogen manipulation experiment in Southern Scotland"],"availability":"Unknown","catalogue":"eidc","description":"This data collection consists of measurements of ammonia deposition, meteorology, vegetation change and nitrous oxide emissions from the experiment at Whim bog in the Scottish Borders (3◦ 16' W, 55◦ 46' N) 2002 onwards. The experiment investigates the effect of different forms of nitrogen when applied at realistic rates. Nitrogen treatment is applied near-continuously over the year, via automated sprayers mimicking realistic rain events for wet deposition, and as a gas plume for dry deposition. Because the nitrogen is applied as many (>100) small application events per year, the effect of this is to allow manipulation of the nitrogen deposition whilst maintaining realistic nitrogen concentrations in solution at the leaf and soil surface.\n\nNitrogen has been deposited in three different forms (as ammonia (NH3) gas, as ammonium (NH4+) solution or nitrate (NO3-) solution (Sheppard et al., 2004). Ambient nitrogen inputs at the site are relatively low (0.8 g N m−2 y−1), and the site had not received obvious damage prior to the experiment, so it is reasonably representative of similar sites across Europe.","documentType":"GEMINI_DOCUMENT","identifier":"9d52cf53-7246-4a4d-b7de-1c814edd6200","incomingCitationCount":0,"keyword":["Biodiversity","Pollution"],"keywordsTheme":["Biodiversity","Pollution"],"licence":"Non-Open government licence","metadataDate":"2026-05-21T12:16:24.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9d52cf53-7246-4a4d-b7de-1c814edd6200"],"resourceType":"Aggregation","shortenedDescription":"This data collection consists of measurements of ammonia deposition, meteorology, vegetation change and nitrous oxide emissions from the experiment at Whim bog in the Scottish Borders (3◦ 16' W, 55◦ 46' N) 2002 onwards. The experiment investigates the effect of different…","state":"published","supplementalDescription":["Sheppard, L.J., Crossley, A., Leith, I.D., Hargreaves, K.J., Carfrae, J.A., Dijk, N. van, Cape, J.N., Sleep, D., Fowler, D., Raven, J.A., 2004. An Automated Wet Deposition System to Compare the Effects of Reduced and Oxidised N on Ombrotrophic Bog Species: Practical Considerations. Water Air Soil Pollut: Focus 4, 197–205. https://doi.org/10.1007/s11267-004-3030-4\n"],"supplementalName":["Sheppard et al (2004)"],"temporalExtentText":"Data collected from 2002 to 2017","title":"Vegetation change, greenhouse gas emission, ammonia deposition and meteorological data from the Whim Peatbog nitrogen manipulation experiment in Southern Scotland","topic":["0/Biodiversity/","0/Pollution/"],"version":1.0,"view":["public","leav"]},{"authorAffiliation":["University of Edinburgh","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Shortman","Perry","Cavers"],"authorFullName":["Shortman, J.","Perry, A.","Cavers, S."],"authorGivenName":["J.","A. ","S."],"authorOrcid":["0000-0002-7889-7597","0000-0003-2139-9236"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured for each cone between June and July 2024. Traits include cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile and colour, seed number and mean seed weight. ","documentType":"GEMINI_DOCUMENT","familyName":["Shortman","Perry","Cavers"],"fullName":["Shortman, J.","Perry, A.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["J.","A. ","S."],"grant":["NE/V019813/1"],"identifier":"b98e92cf-6ff5-42e2-8053-021ea04db01c","incomingCitationCount":0,"keyword":["Scotland","Phenology","genetic variation","Caledonian pinewood","common garden experiment","phenotype","Pinus sylvestris","Scots pine","reproductive traits"],"keywordsOther":["genetic variation","Caledonian pinewood","common garden experiment","phenotype","Pinus sylvestris","Scots pine","reproductive traits"],"keywordsPlace":["Scotland"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A long-term common garden trial was established in 2012 at Yair (latitude 55.603625, longitude -2.893025), using five-year-old saplings. It contains trees from 8 families (where a family comprises individuals grown from seed sampled from a single common tree) from each of 21 Scottish pinewoods and is arranged into four complete randomised blocks (see supporting document for reference). \n\nOver four days in February 2024, cone number was measured as a count of all visible cones on the south-facing side of each tree. Then, five cones were sampled from each tree for trait measurement. Cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile, colour, seed number and mean seed weight were all recorded for every cone. Cone ratio (cone width / length) and seed viability (number of filled seeds / number of empty seeds) were also recorded. ","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-29T12:17:39.000Z","orcid":["0000-0002-7889-7597","0000-0003-2139-9236"],"organisation":["University of Edinburgh","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-01-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b98e92cf-6ff5-42e2-8053-021ea04db01c","10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c","doi:10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/01nrxwf90","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Long-term multisite Scots pine trial, Scotland: cone and seed phenotypes, 2024 ","topic":["0/Phenology/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Beith","Carter","Clarke","De Ville","Dodd","Fletcher","James","Mackay","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Beith, S.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","James, J.B.","Mackay, E.B.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","S.","H.T.","M.A.","M.M.","B.A.","J.","J.B.","E.B.","S.J.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","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 by the UK Centre for Ecology & Hydrology (UKCEH) at Bassenthwaite Lake in Cumbria, England. 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. Measurements 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. All data are from January 2014 until the end of 2018. Unfortunately, due to funding shortages, the long-term monitoring of Bassenthwaite Lake ended early 2019.\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","Beith","Carter","Clarke","De Ville","Dodd","Fletcher","James","Mackay","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Beith, S.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","James, J.B.","Mackay, E.B.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","S.","H.T.","M.A.","M.M.","B.A.","J.","J.B.","E.B.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"fe579fbf-e371-4320-8875-a8af8736f3e5","incomingCitationCount":0,"keyword":["UK-SCAPE","Water quality","Environmental survey"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Measurements 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. Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in UKCEH laboratories.","locations":["POLYGON((-3.25 54.624, -3.25 54.68, -3.185 54.68, -3.185 54.624, -3.25 54.624))"],"metadataDate":"2026-07-25T18:11:52.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fe579fbf-e371-4320-8875-a8af8736f3e5","10.5285/fe579fbf-e371-4320-8875-a8af8736f3e5","doi:10.5285/fe579fbf-e371-4320-8875-a8af8736f3e5"],"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 by the UK Centre for Ecology & Hydrology (UKCEH) at Bassenthwaite Lake in Cumbria,…","state":"published","temporalExtentText":"Data collected from 2014 to 2018","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Bassenthwaite Lake, 2014 to 2018","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Universidade Estadual Paulista (UNESP)","University of Aberdeen"],"authorFamilyName":["Cava","Damasceno","García Díaz","Fidelis"],"authorFullName":["Cava, M.","Damasceno, G.","García Díaz, P.","Fidelis, A."],"authorGivenName":["M.","G.","P.","A."],"authorOrcid":["0000-0002-6630-5347","0000-0001-5103-484X","0000-0001-5402-0611","0000-0001-9545-2285"],"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"The data contains variables related to the diversity and structure of plant communities of cattle-grazed and burned old-growth grasslands and ungrazed and unburned old-growth grasslands located in the northern region of the Cerrado, specifically in the municipality of São Félix do Tocantins, state of Tocantins, Brazil, collected in March and April 2022. \nData were collected in 100 plots of 1-m² distributed over ten old-growth grasslands (10 plots per site), of which five were grazed and burned and five ungrazed and unburned.\n","documentType":"GEMINI_DOCUMENT","familyName":["Cava","Damasceno","García Díaz","Fidelis"],"fullName":["Cava, M.","Damasceno, G.","García Díaz, P.","Fidelis, A."],"funder":["Natural Environment Research Council","Fundação de Amparo à Pesquisa do Estado de São Paulo "],"givenName":["M.","G.","P.","A."],"grant":["NE/S011641/1","2020/04713-5"],"identifier":"d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80","incomingCitationCount":0,"keyword":["Brazil","old-growth grasslands","old-growth savannas","Cerrado","neotropical savanna","fire","grazing","cattle"],"keywordsOther":["old-growth grasslands","old-growth savannas","Cerrado","neotropical savanna","fire","grazing","cattle"],"keywordsPlace":["Brazil"],"licence":"Open government licence","lineage":"Data were collected in the field by 4 experts in March and April 2022. The aboveground vegetation biomass data involved the collection, transport, drying (using a forced air oven at 80°C for 48 hours), and weighing of material (using an electronic scale with 0.1-milligram precision). ","locations":["POLYGON((-46.57 -10.7, -46.57 -10.1, -46.52 -10.1, -46.52 -10.7, -46.57 -10.7))"],"metadataDate":"2026-07-25T14:21:57.000Z","orcid":["0000-0002-6630-5347","0000-0001-5103-484X","0000-0001-5402-0611","0000-0001-9545-2285"],"organisation":["Universidade Estadual Paulista (UNESP)","University of Aberdeen","NERC EDS Environmental Information Data Centre","Universidade Estadual Paulista"],"publicationDate":"2023-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80","10.5285/d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80","doi:10.5285/d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80"],"resourceType":"Dataset","rightsHolder":["Universidade Estadual Paulista"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data contains variables related to the diversity and structure of plant communities of cattle-grazed and burned old-growth grasslands and ungrazed and unburned old-growth grasslands located in the northern region of the Cerrado, specifically in the municipality…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Impacts of cattle grazing and fire on old-growth grasslands plant communities in the Brazilian Cerrado, 2022","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham"],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"authorGivenName":["P.","A. ","D.","G."],"authorOrcid":["0000-0002-3707-1182"],"authorRor":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Data were collected in 2015, 2016 and 2017 to provide high resolution imagery for two sections of the South Saskatchewan River, Canada. Photographs were acquired using conventional aerial plane images with a 0.06m ground resolution, captured at a height of approximately 1500m from a fixed-wing aeroplane with an UltraCamXp sensor.\n\nImagery was obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight orthomosaics; one for each of the two river sections on each of the four dates.\n\nImages were collected as part of NERC project NE/L00738X/1.","documentType":"GEMINI_DOCUMENT","familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["P.","A. ","D.","G.","Andrew"],"grant":["NE/L00738X/1"],"identifier":"7473d4f9-c9a7-40ad-9f58-e58e25997fc5","incomingCitationCount":0,"keyword":["South Saskatchewan River","Canada","river"],"keywordsOther":["river"],"keywordsPlace":["South Saskatchewan River","Canada"],"licence":"Open government licence","lineage":"This dataset consists of geolocated aerial orthomosaics of the South Saskatchewan River, near Outlook Canada (UTM Easting and Northing coordinates: 356500, 5712400; Latitude and Longitude: 51.5 N, 107.07 W). \nPhotography was acquired to provide high resolution imagery of the river bed and surrounding valley floor on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017) and for two separate sections of the river. Images were obtained using conventional aerial plane photography with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. \nThe orthomosaic was generated from the aerial photography (using up to 160 individual images for each orthomosaic) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the ‘large frame’ supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. \nThe orthomosaic image file includes UTM Easting and Northing coordinates that can be viewed by opening the image in a GIS or other image handling software.\n\n","locations":["POLYGON((-107.1 51.4, -107.1 51.6, -107 51.6, -107 51.4, -107.1 51.4))"],"metadataDate":"2026-09-15T08:43:44.000Z","orcid":["0000-0002-3707-1182"],"organisation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7473d4f9-c9a7-40ad-9f58-e58e25997fc5","10.5285/7473d4f9-c9a7-40ad-9f58-e58e25997fc5","doi:10.5285/7473d4f9-c9a7-40ad-9f58-e58e25997fc5"],"resourceType":"Dataset","ror":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Data were collected in 2015, 2016 and 2017 to provide high resolution imagery for two sections of the South Saskatchewan River, Canada. Photographs were acquired using conventional aerial plane images with a 0.06m ground resolution, captured at a height of approximately…","state":"published","supplementalDescription":["Orthomosaics were generated using the SfM program Pix4D "],"temporalExtentText":"Data collected from 2015 to 2017","title":"Orthomosaic imagery for the South Saskatchewan River, Canada","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Manchester","Moors for the Future Partnership","University of Manchester "],"authorFamilyName":["Johnston","Allott","Edokpa","Kay","Rees","Shuttleworth","Spencer","Evans"],"authorFullName":["Johnston, A.R.","Allott, T.E.H.","Edokpa, D.","Kay, M.","Rees, J.L.","Shuttleworth, E.L.","Spencer, T.","Evans, M.G."],"authorGivenName":["A.R.","T.E.H.","D.","M.","J.L.","E.L.","T.","M.G."],"authorOrcid":["0000-0002-6788-0407","0000-0001-7629-9537","0000-0003-1526-2620","0000-0003-0661-1366","0000-0003-2300-1033"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains depth to water table measurements from ten experimental microcatchments (0.4-3.9 hectares) on Stalybridge Moor, an upland peatland in the Peak District, UK. The data extend from 2019 to 2022, covering a period before and after gully blocking took place in six microcatchments, with four microcatchment kept as a non-restored control. Monthly measurements from October-February, summer/autumn.","documentType":"GEMINI_DOCUMENT","familyName":["Johnston","Allott","Edokpa","Kay","Rees","Shuttleworth","Spencer","Evans"],"fullName":["Johnston, A.R.","Allott, T.E.H.","Edokpa, D.","Kay, M.","Rees, J.L.","Shuttleworth, E.L.","Spencer, T.","Evans, M.G."],"funder":["Natural Environment Research Council"],"givenName":["A.R.","T.E.H.","D.","M.","J.L.","E.L.","T.","M.G."],"identifier":"e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07","incomingCitationCount":0,"keyword":["Peak District","Hydrology","peatland","water table"],"keywordsOther":["peatland","water table"],"keywordsPlace":["Peak District"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Depth to the water table from the peat surface was measured using a blow tube in PVC dipwells which were installed in the peat surface. The height of the dipwell protrusion from the peat surface is also measured and then subtracted from the recorded depth of the blow tube to get the depth of water table from the peat surface. Within each microcatchment, there were two dipwell clusters, one near the gully edge and one far from the gully edge. Each cluster contained five individual dipwells. Each cluster had a peat anchor installed, a metal rod inserted down to the mineral layer, to serve as a vertical datum to monitor potential changes in dipwell protrusion height (E.g. accidental or intentional human interference with installed equipment). ","locations":["POLYGON((-2.017 53.506, -2.017 53.528, -1.941 53.528, -1.941 53.506, -2.017 53.506))"],"metadataDate":"2026-07-25T14:51:45.000Z","orcid":["0000-0002-6788-0407","0000-0001-7629-9537","0000-0003-1526-2620","0000-0003-0661-1366","0000-0003-2300-1033"],"organisation":["University of Manchester","Moors for the Future Partnership","University of Manchester ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07","10.5285/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07","doi:10.5285/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains depth to water table measurements from ten experimental microcatchments (0.4-3.9 hectares) on Stalybridge Moor, an upland peatland in the Peak District, UK. The data extend from 2019 to 2022, covering a period before and after gully blocking took…","state":"published","temporalExtentText":"Data collected from 2019 to 2022","title":"Manual water table measurements from experimental microcatchments in peatlands at Stalybridge, Peak District, UK, 2019-2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","simgil"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data sets contain results from the fieldwork from the work package 2 (gradient analysis) of the 'Mechanisms and consequences of tipping points in lowland agricultural landscapes' (TPAL) project. \nThis series contains field collected data from ecologically important habitats across Dorset. Data come from calcareous, heathland and woodland habitats. Sites were selected that were known to have undergone land use change in the past 80 years and had a perceived habitat condition gradient from Sites of Special Scientific Interest (SSSI) quality through to fully degraded, established using historical surveys and contemporary spatial datasets. Data relate to ecosystem services - pollination and carbon sequestration (soil and vegetation chemistry) and habitat quality (botanical data). Data were collected using standard methods (transect walks, soil, biomass and vegetation sampling). \n","documentType":"GEMINI_DOCUMENT","familyName":["McCracken"],"fullName":["McCracken, M.E."],"funder":["Natural Environment Research Council"],"givenName":["M.E."],"grant":["NE/P007716/1"],"identifier":"99e947fb-cda7-4a9e-9dd5-c53bc3929cf6","incomingCitationCount":0,"licence":"Open government licence","lineage":"Data were collected by experienced field ecologists, the same ecologists carried out all surveys. Data are consistent and reliable. Data were recorded into a spreadsheet as recorded in the field. Data were checked for any anomalies.","locations":["POLYGON((-2.961 50.521, -2.961 51.08, -1.681 51.08, -1.681 50.521, -2.961 50.521))"],"metadataDate":"2026-07-25T10:21:23.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-02-24T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/99e947fb-cda7-4a9e-9dd5-c53bc3929cf6"],"resourceType":"Aggregation","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data sets contain results from the fieldwork from the work package 2 (gradient analysis) of the 'Mechanisms and consequences of tipping points in lowland agricultural landscapes' (TPAL) project. \nThis series contains field collected data from ecologically important…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Data from provision of ecosystem services across habitat degradation gradient","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Robinson"],"authorFullName":["Robinson, S."],"authorGivenName":["S."],"authorOrcid":["0000-0002-7365-8423"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes environmental conditions at 135 Saiga antelope calving sites  (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated with haemorrhagic septicaemia in the literature, including humidity, temperature and precipitation.  Indicators of vegetation biomass, phenology and length of the winter preceding calving were represented using the Normalised Difference Vegetation Index (NDVI), snow depth and snow presence data. \n\nSaiga antelope are susceptible to mass mortality events (MME), the most severe of which are caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense aggregations. As the bacteria is a commensal organism, which may live harmlessly in the respiratory tract of the saiga, it is believed that an environmental trigger is involved in a shift to virulence in the pathogen or reduction in immune-competence in the host.\n\nThe attached data show environmental conditions at a set of calving sites of the Betpak-dala population of saigas. This population, one of three in Kazakhstan, is located in the central provinces of the country and is the only one in which massive haemorrhagic septicaemia outbreaks have been recorded. At most of the recorded sites, calving progressed normally, whilst at others mass mortality events occurred during calving or just afterwards, namely in 1981, 1988 and 2015. A set of environmental predictor variables was used to model the probability of an MME at calving aggregations. The dataset, modelling process and results are described in Kock et al. (2018): http://advances.sciencemag.org/content/4/1/eaao2314  \n\nA related shapefile of the full set of 214 sites, and metadata concerning site characteristics and the provenance of the location data is available at:\nhttps://catalogue.ceh.ac.uk/id/8ad12782-e939-4834-830a-c89e503a298b\n\nThe attached dataset and site metadata in the above-mentioned Shapefile attribute table can be combined using the variable ID in order to merge the environmental data with information on the calving and MME sites.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson"],"fullName":["Robinson, S."],"funder":["Natural Environment Research Council","Association for the Conservation of Biodiversity of the Republic of Kazakhstan","Flora and Fauna International, Cambridge, UK","People's Trust for Endangered Species","Frankfurt Zoological Society","The Saiga Conservation Alliance, UK"],"givenName":["S.","Sara"],"grant":["NE/N007646/1"],"identifier":"912ea336-ac90-418f-be6a-7ae226e167e9","incomingCitationCount":0,"keyword":["Kazakhstan","Phenology","Environmental variables","Saiga antelope"],"keywordsOther":["Environmental variables","Saiga antelope"],"keywordsPlace":["Kazakhstan"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"Given the large geographic scale of the study, range of variables to be covered, long time series coverage and high resolution, the daily ERA-Interim reanalysis dataset, produced at the European Centre for Medium-Range Weather Forecasts (ECMWF), was selected as a source of climate data (Dee et al., 2011). Daily aggregates (means, maxima, minima, or totals) were generated from raw 3 or 6 hourly data for temperature, dew point temperature, soil moisture, snow depth, maximum wind gust and precipitation.  Due to uncertainties in precipitation data from this source, interpolated gauge-based products from the Global Precipitation Climatology Centre (GPCC), which are independent of ERA data, were also used, although these were available only from 1988 onwards (Schamm et al., 2014). \n\nAbsolute NDVI values at calving/MME sites were obtained using a dataset of 7 day filtered and smoothed MODIS NDVI products from the University of Natural Resources and Life Sciences, Vienna (Vuolo et al., 2012). These data are included in the attached dataset but were not used in final models, they cover the period 2001-2016 and cover a subset of 94 sites.\n\nNDVI anomaly data based on SPOT and PROBA-V data were supplied by the Université Catholique de Louvain-LifeWatch Wallonia-Brussels (WB) project (Radoux et al., 2015). Snow anomaly data (unusual values at the date of observation compared to mean probability of snow presence) were used to look for unusual variation in winter (e.g. winter length, severity, sudden cold shocks) and were derived by LifeWatch WB from filtered MODIS data (Rousseau et al., 2015). These datasets cover periods from 1998-2016 and 2000-2016 respectively and thus include only 2015 MME sites and a set of controls - covering a subset of 96 & 95 sites. ","locations":["POLYGON((60.392 45.165, 60.392 51.282, 76.324 51.282, 76.324 45.165, 60.392 45.165))"],"metadataDate":"2026-09-15T08:37:05.000Z","orcid":["0000-0002-7365-8423"],"organisation":["University of Oxford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/912ea336-ac90-418f-be6a-7ae226e167e9","10.5285/912ea336-ac90-418f-be6a-7ae226e167e9","doi:10.5285/912ea336-ac90-418f-be6a-7ae226e167e9"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes environmental conditions at 135 Saiga antelope calving sites  (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated…","state":"published","supplementalDescription":["Kock, R. A., Orynbayev, M., Robinson, S., Zuther, S., Singh, N. J., Beauvais, W., ... Milner-Gulland, E. J. (2018). Saigas on the brink: Multidisciplinary analysis of the factors influencing mass mortality events. Science Advances, 4(1), eaao2314. "],"temporalExtentText":"Data collected from 1979 to 2016","title":"Environmental conditions at saiga calving and die-off sites in Kazakhstan, 1979 to 2016","topic":["0/Phenology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","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 bulk density taken from bulk density rings (3.1 centimetre (cm) height, 7.5 cm diameter) within each 1metre (m) x 1m quadrat. Samples were taken vertically at three depths within each quadrat to roughly quantify the following zones: 0 -10 cm, 10 - 20 cm and 20 - 30 cm. 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":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"814be4cf-0ff2-46dd-b296-c4d9b913b6e4","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","bulk density","grassland","salt marsh"],"keywordsOther":["bulk density","grassland","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Samples were taken from bulk density rings, vertically at 3 depths (0 -10 centimetre (cm), 10 - 20 cm and 20 - 30 cm) within each 1metre (m) x 1m quadrat. Prior to measurement of bulk density all soil samples were dried at 105 degrees Celsius for 72 hours. Results were recorded onto field sheets. These data were transferred into an Excel file and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC.\nThe 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":"2026-09-15T08:37:57.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/814be4cf-0ff2-46dd-b296-c4d9b913b6e4","10.5285/814be4cf-0ff2-46dd-b296-c4d9b913b6e4","doi:10.5285/814be4cf-0ff2-46dd-b296-c4d9b913b6e4"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the bulk density taken from bulk density rings (3.1 centimetre (cm) height, 7.5 cm diameter) within each 1metre (m) x 1m quadrat. Samples were taken vertically at three depths within each quadrat to roughly quantify the following zones: 0 -10 cm,…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil bulk density from three soil depths on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology","BIOSS","University of St Andrews"],"authorFamilyName":["Searle","Butler","Harris","Purse"],"authorFullName":["Searle, K.","Butler, A.","Harris, C.","Purse, B.V."],"authorGivenName":["K.","A.","C.","B.V."],"authorOrcid":["0000-0003-4624-9023","0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03jwrz939","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland. The distribution models were developed from quadrat vegetation data kindly provided by Scottish Natural Heritage combined with data on climate and soil conditions as well as deer abundance and were fitted using a Bayesian Generalised Mixed Modelling approach adapted for input data on the DOMIN scale. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). ","documentType":"GEMINI_DOCUMENT","familyName":["Searle","Butler","Harris","Purse"],"fullName":["Searle, K.","Butler, A.","Harris, C.","Purse, B.V.","Purse, B."],"givenName":["K.","A.","C.","B.V.","Bethan"],"identifier":"5749df3d-000c-445e-a37f-dc0763b4d5ec","incomingCitationCount":0,"keyword":["Modelling","Vaccinium myrtillus","Vaccinium vitis-idaea","Arctostaphylos uva-ursi","Phytophthora ramorum","Phytophthora kernoviae"],"keywordsOther":["Vaccinium myrtillus","Vaccinium vitis-idaea","Arctostaphylos uva-ursi","Phytophthora ramorum","Phytophthora kernoviae"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"A logit-normal model was developed, structured as a generalized linear mixed model (GLMM) for logit-transformed proportions. An approach was adopted that would deal with overdispersion (the large number of absence records for the species), the unequal numbers of quadrats taken per NVC survey site, and the uncertainty around the true percent cover arising from the unequal size of the DOMIN class intervals - such that the true percent cover is an unobserved latent variable. The supporting documentation contains full details of the GLMM used. Adam Butler from Biomathematics and Statistics Scotland (BioSS) provided statistical advice for habitat suitability modelling.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-24T23:06:09.000Z","orcid":["0000-0003-4624-9023","0000-0001-5140-2710"],"organisation":["Centre for Ecology & Hydrology","BIOSS","University of St Andrews","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/5749df3d-000c-445e-a37f-dc0763b4d5ec","10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec","doi:10.5285/5749df3d-000c-445e-a37f-dc0763b4d5ec"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03jwrz939","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"These spatial layers contain the predicted occurrence and abundance of three heathland shrubs, Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea identified as susceptible host species for Phytophthora ramorum and Phytophthora kernoviae in Scotland.…","state":"published","temporalExtentText":"Data collected from 2012 to 2012","title":"Distribution maps of Arctostaphylos uva-ursi, Vaccinium myrtillus and Vaccinium vitis-idaea across Scotland as hosts for Phytophthora ","topic":["0/Modelling/"],"version":1.0,"view":["public","hajd"]},{"availability":"Unknown","catalogue":"eidc","description":"Measurements of soil biotic and abiotic factors from permafrost regions of subarctic Canada including burnt and unburnt forests.","documentType":"GEMINI_DOCUMENT","familyName":["Williams"],"fullName":["Williams, M."],"givenName":["M."],"identifier":"108ed94d-3385-4e54-ba96-d4ad387fcae1","incomingCitationCount":0,"keyword":["Canada","Carbon cycling","Permafrost","Peatland plateau","Soil temperature","Soil respiration","Methane fluxes","Thawing peatland","Burnt peatland"],"keywordsPlace":["Canada"],"keywordsTheme":["Carbon cycling","Permafrost","Peatland plateau","Soil temperature","Soil respiration","Methane fluxes","Thawing peatland","Burnt peatland"],"licence":"Non-Open government licence","lineage":"See individual datasets for specific information on lineage","locations":["POLYGON((-137 60, -137 64, -112 64, -112 60, -137 60))"],"metadataDate":"2026-07-24T19:21:17.000Z","organisation":["University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/108ed94d-3385-4e54-ba96-d4ad387fcae1"],"resourceType":"Aggregation","ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Measurements of soil biotic and abiotic factors from permafrost regions of subarctic Canada including burnt and unburnt forests.","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Carbon Cycling Linkages of Permafrost Systems","version":1.0,"view":["public","kath","c.estop-aragones@exeter.ac.uk"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.  It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset.  The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S."],"identifier":"c1d73bd3-33aa-4a5f-aac5-47c403c2a0e6","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","Map","Biodiversity Action Plan","habitat","land cover"],"keywordsOther":["Map","Biodiversity Action Plan","habitat","land cover"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10m pixels across the whole of UK.  Training data were automatically selected from stable land covers over the interval of 2017 to 2019.  A Random Forest classifier used these to classify four composite images representing per season median surface reflectance.  Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10m pixel classification into a land parcel framework (the LCM2020 classified land parcels, Northern Ireland 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.\n\nThe 25m rasterised land parcels, N. Ireland is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-09-15T08:37:14.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c1d73bd3-33aa-4a5f-aac5-47c403c2a0e6","10.5285/c1d73bd3-33aa-4a5f-aac5-47c403c2a0e6","doi:10.5285/c1d73bd3-33aa-4a5f-aac5-47c403c2a0e6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.  It is a three-band raster in GeoTiff format, produced by rasterising three properties of…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Land Cover Map 2020 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","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 field soil moisture content expressed as a percentage at three depth zones, (0 - 10 centimetre (cm), 10 - 20 cm and 20 - 30 cm), measured from bulk density soil samples taken within each 1 metre x 1 metre quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (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. Samples were taken using a bulk density ring. Soil moisture content was determined by weighing the samples as fresh field mass and then again after being dried out at 105 degrees Celsius for 72 hours. \n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. \n","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"125a899b-8f10-4803-a6cf-a2fb1739746f","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","Salt marsh","soil moisture content","soil"],"keywordsOther":["Salt marsh","soil moisture content","soil"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Field soil moisture was measured from bulk density samples taken at roughly 0-10 centimetre (cm), 10-20 cm and 20-30 cm depth zones with a 3.1 cm height, 7 cm diameter bulk density ring for each quadrat. Samples were weighed (in grams to two decimal places) at fresh field mass then again after 72 hours at 105 degrees Celsius to determine water content. Data were recorded onto field sheets. These data were transferred into an Excel spreadsheet and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC. 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":"2026-09-15T08:43:04.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/125a899b-8f10-4803-a6cf-a2fb1739746f","10.5285/125a899b-8f10-4803-a6cf-a2fb1739746f","doi:10.5285/125a899b-8f10-4803-a6cf-a2fb1739746f"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the field soil moisture content expressed as a percentage at three depth zones, (0 - 10 centimetre (cm), 10 - 20 cm and 20 - 30 cm), measured from bulk density soil samples taken within each 1 metre x 1 metre quadrat. Sampling was conducted at…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil moisture content from three soil depths on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}