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Following removal the sticks were gently wiped clean and assessed for evidence of soil invertebrate feeding; the observations were recorded into MSExcel files by two members of UKCEH staff (reader 1 and reader 2).  Soil was sampled at each plot on multiple occasions and the pH was determined in September 2016 and September 2017,  soil dry matter (DM) was determined in September 2016, March 2017 and September 2017 and soil Loss on Ignition (LOI) was determined in September 2016 and September 2017; all soil chemistry data were directly input to MSExcel files. The estimated ambient dose rate (µSv per hour) at each plot was measured in September 2016 and March 2017 and the site and plot field notes were recorded in  September 2016. All field data were and transposed to MSExcel files by Chornobyl Center staff and supplied to UKCEH. All data were supplied to EIDC as csv files.\n","locations":["POLYGON((29.152 51.024, 29.152 51.951, 30.679 51.951, 30.679 51.024, 29.152 51.024))"],"metadataDate":"2026-06-29T18:26:31.000Z","orcid":["https://orcid.org/0000-0001-9723-7247","https://orcid.org/0000-0002-7582-6742","https://orcid.org/0000-0002-0635-2387","https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","UKCEH","Chornobyl Center for Nuclear Safety","University of Salford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7833bdf5-3e85-44d3-8e7d-c9bf0632e38b","10.5285/7833bdf5-3e85-44d3-8e7d-c9bf0632e38b","doi:10.5285/7833bdf5-3e85-44d3-8e7d-c9bf0632e38b"],"resourceType":"Dataset","rightsHolder":["UKCEH"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise site location, soil chemistry information (pH, soil moisture, Loss on Ignition (LOI)), an estimate of ground burn extent and soil biological activity (derived from application of bait lamina sticks) at 23 sites in the Chornobyl Exclusion Zone (CEZ), Ukraine…","state":"published","title":"Soil biological activity in the Chornobyl Exclusion Zone, Ukraine in September 2016, March 2017 and September 2017 following a severe wildfire in July 2016","topic":["0/Biodiversity/","0/Radioecology/","0/Environmental risk/","0/Pollution/","0/Soil/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Fauna & Flora International","Universidad del Rosario","Instituto de Investigación de Recursos Biológicos Alexander von Humboldt","Universidad Distrital Francisco José de Caldas","Universidad de los Andes","University of Exeter"],"authorFamilyName":["Serrano","Aldana","Hurtado","Avella Muñoz","Norden","Stevenson","López-Camacho","Pennington","Feldpausch"],"authorFullName":["Serrano, J.","Aldana, A.M.","Hurtado, A.B.","Avella Muñoz, E.A.","Norden, N.","Stevenson, P.","López-Camacho, R.","Pennington, T.","Feldpausch, T.R."],"authorGivenName":["J.","A.M.","A.B.","E.A.","N.","P.","R.","T.","T.R."],"authorOrcid":["https://orcid.org/0000-0002-9751-5339","https://orcid.org/0000-0003-3439-6245","https://orcid.org/0000-0002-2765-4966","https://orcid.org/0000-0002-1595-1154","https://orcid.org/0000-0001-5207-312X","https://orcid.org/0000-0003-2394-447X","https://orcid.org/0000-0003-2026-0371","https://orcid.org/0000-0002-8196-288X","https://orcid.org/0000-0002-6631-7962"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data were collected between 2017 and 2020 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The dataset includes information on tree diameter and height, scientific and family names following APG III, Above Ground Biomass (AGB), perturbation gradient, altitude, and plot code. The aim of this data collection is to investigate the factors influencing forest change across various gradients, and to evaluate the forest composition of these forests. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. ","documentType":"GEMINI_DOCUMENT","familyName":["Serrano","Aldana","Hurtado","Avella Muñoz","Norden","Stevenson","López-Camacho","Pennington","Feldpausch"],"fullName":["Serrano, J.","Aldana, A.M.","Hurtado, A.B.","Avella Muñoz, E.A.","Norden, N.","Stevenson, P.","López-Camacho, R.","Pennington, T.","Feldpausch, T.R.","Feldpausch, T."],"funder":["Natural Environment Research Council"],"givenName":["J.","A.M.","A.B.","E.A.","N.","P.","R.","T.","T.R.","Ted"],"grant":["NE/R017980/1"],"identifier":"a46f0ac4-5ca1-4259-a4f8-d825b5d81d63","incomingCitationCount":0,"keyword":["Colombian Andean","Forest ecology","Human modified tropical forests","Altitudinal gradient","Human perturbation gradient"],"keywordsOther":["Colombian Andean","Forest ecology","Human modified tropical forests","Altitudinal gradient","Human perturbation gradient"],"licence":"Open government licence","lineage":"The study conducted a tree census that included measuring tree diameter and height, calculating aboveground biomass, identifying species and families and plot code. A total of 26,387 trees were measured in the lowlands, midlands, and highlands. Yellow paint was used to mark optimal measurement points, and woody stems with a diameter greater than or equal to 5 cm were measured. Taxonomic identifications were made by collecting one botanical specimen per morphospecies and per disturbance gradient. The height of ten stems per plot was measured with a hypsometer, and manual estimates were used to calibrate the remaining stems. The tree height was estimated using the retrieve H function. Above Ground biomass was estimated using pantropical models, and the AGB was calculated using the equation proposed by Chave et al. (2014).","locations":["POLYGON((-76.19 4.409, -76.19 6.61, -74.103 6.61, -74.103 4.409, -76.19 4.409))"],"metadataDate":"2026-06-29T16:18:02.000Z","orcid":["https://orcid.org/0000-0002-9751-5339","https://orcid.org/0000-0003-3439-6245","https://orcid.org/0000-0002-2765-4966","https://orcid.org/0000-0002-1595-1154","https://orcid.org/0000-0001-5207-312X","https://orcid.org/0000-0003-2394-447X","https://orcid.org/0000-0003-2026-0371","https://orcid.org/0000-0002-8196-288X","https://orcid.org/0000-0002-6631-7962"],"organisation":["Fauna & Flora International","Universidad del Rosario","Instituto de Investigación de Recursos Biológicos Alexander von Humboldt","Universidad Distrital Francisco José de Caldas","Universidad de los Andes","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63","10.5285/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63","doi:10.5285/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/03yghzc09"],"shortenedDescription":"The data were collected between 2017 and 2020 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems…","state":"published","supplementalDescription":["Data are managed online at "],"title":"Tree census and above ground biomass variation in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2017-2020","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology (formerly Institute of Hydrology)","Centre for Ecology & Hydrology (formerly Institute of Terrestrial Ecology)"],"authorFamilyName":["Neal","Reynolds","Wilkinson","Hill","Harrow"],"authorFullName":["Neal, C.","Reynolds, B.","Wilkinson, R.J.","Hill, T.","Neal, M.","Hill, S.","Harrow, M.L."],"authorGivenName":["C.","B.","R.J.","T.","M.","S.","M.L."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data provides the results of a survey of the water quality of small streams draining forested and felled catchments across Wales. The water quality measurements are extensive, including analysis of major, minor, trace and ultra-trace elements together with nutrient and standard water quality measures such as pH and Gran alkalinity. Opportunistic sampling was undertaken with the aid for Forest Enterprise staff to sample sites at periods of both dry and very wet weather in order to assess the water quality under baseflow and stormflow conditions, respectively, to assess groundwater and soil endmember chemistries. The work was undertaken as part of a joint NERC, Environment Agency and Forestry Commission funded study to examine the impacts of conifer harvesting and replanting on upland water quality (Neal et al., 1998). Small catchment sites (2 to 5 ha) were chosen single tree and soil type at each location. Across the sites, the number of samplings varied between 1 and 10 depending upon feasibility of sampling. The monitoring period was from the 7th September 1995 up to the 18th November 1997.The scope and range of the Welsh survey work together with the findings are provided by Neal et al., 1998.","documentType":"GEMINI_DOCUMENT","familyName":["Norris","Neal","Reynolds","Wilkinson","Hill","Harrow"],"fullName":["Norris, D.","Neal, C.","Reynolds, B.","Wilkinson, R.J.","Hill, T.","Neal, M.","Hill, S.","Harrow, M.L."],"givenName":["Dave","C.","B.","R.J.","T.","M.","S.","M.L."],"identifier":"6361c484-42bd-4e0c-874f-ef22dc55129f","incomingCitationCount":0,"keyword":["Wales","United Kingdom","stream","water quality"],"keywordsOther":["stream","water quality"],"keywordsPlace":["Wales","United Kingdom"],"licence":"Open government licence","lineage":"Sampling sites were chosen across Wales on the basis of: 1) Each catchment had to represent single soil and tree type as well as management scheme; 2) Each catchment had a definable boundary and it contained a first order stream draining it; 3) Catchment areas had to be small (2 to 5 ha); 4) The sites had to be completely forested or completely harvested; 5) Site details had to be available including information on soil and tree types, times of tree planting and harvesting (plus tree replanting in a limited number of cases); 6) The availability of Forest Enterprise staff to collect samples. Each sampling team were provided with an appropriate variety of cleaned plastic and glass bottles to collect samples that could be processed for major, minor and trace elements etc. The sampling was triggered by an alert from CEH staff of appropriate weather conditions. These alerts were for extended dry periods, to assess baseflow chemistry, and regional storm conditions in order to sample stormflow. The samples were taken to the local Forest Enterprise office soon after collection. They were then dispatched (mainly on the day of sample collection), to the (then) CEH site at Staylittle, mid-Wales, for processing. The next working day at CEH Staylittle, pH and Gran titration assays were made. The remaining samples were filtered (0.45µM) and the filtrates were stored in the appropriate bottles for shipment to CEH Wallingford for further chemical analysis. In the case of metal analysis, the samples were acidified prior to analysis in order to eliminate storage artefacts. For pH measurements, the samples were stored filled in glass bottles with immediate analysis on opening to avoid carbon dioxide degassing that would lead to a rise in pH. At the Forest Enterprise and CEH offices the samples were stored in the dark at 4°C in order to eliminate other storage artefacts. The data presented is 'raw' and has not been edited to include less than values etc. Contained within the metadata is a file that gives all the analytical methods used, including information on detection levels etc. This allows the user to adjust the data to standard protocols for presenting an edited dataset. In addition, metadata files are provided to describe site locations (grid references) and associated information (soil types, tree species and felling dates etc.) as well as field sampling and other protocols prior to chemical analysis. ","locations":["POLYGON((-10 49, -10 59, 5 59, 5 49, -10 49))"],"metadataDate":"2026-06-29T16:43:14.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology (formerly Institute of Hydrology)","Centre for Ecology & Hydrology (formerly Institute of Terrestrial Ecology)","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2013-10-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1372856402454","CEH:EIDC::1372856402454","https://catalogue.ceh.ac.uk/id/6361c484-42bd-4e0c-874f-ef22dc55129f","10.5285/6361c484-42bd-4e0c-874f-ef22dc55129f","doi:10.5285/6361c484-42bd-4e0c-874f-ef22dc55129f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data provides the results of a survey of the water quality of small streams draining forested and felled catchments across Wales. The water quality measurements are extensive, including analysis of major, minor, trace and ultra-trace elements together with nutrient…","state":"published","supplementalDescription":["Neal, C., Reynolds, B., Wilkinson, R.J., Hill, T., Neal, M., Hill, S. and Harrow, M.L. (1998). The impacts of conifer harvesting on runoff water quality: a regional survey for Wales. Hydrology and Earth System Sciences, 2 (2-3), 323-344."],"title":"Water quality survey of streams across Wales: runoff from forested and felled catchments draining a range of soil types","version":1.0,"view":["public","asowe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 25m raster version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  This is the most detailed of the LCM2015 raster products both thematically and spatially, and it is used to derive the 1km products. The 25m raster product consists of two bands:  Band 1 - raster representation of the majority (dominant) class per polygon for 21 target habitat classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information).  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.\n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"47f053a0-e34f-4534-a843-76f0a0998a2f","incomingCitationCount":3,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 25m raster product is the most detailed of the LCM2015 raster products, both thematically and spatially, and it is derived from the LCM2015 vector product. For LCM2015 per-pixel classifications were conducted, using a random forest classification algorithm. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon.\nThe 25m raster product consists of two bands:\n- Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes\n- Band 2 - mean per polygon probability as reported by the Random Forest classifier\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-29T15:11:22.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47f053a0-e34f-4534-a843-76f0a0998a2f","10.5285/47f053a0-e34f-4534-a843-76f0a0998a2f","doi:10.5285/47f053a0-e34f-4534-a843-76f0a0998a2f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 25m raster version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  This is the most detailed of the LCM2015 raster products both thematically and spatially, and it is used to derive the 1km products. The 25m raster product consists…","state":"published","title":"Land Cover Map 2015 (25m raster, N. Ireland)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G","R.","N.J.","R.T","P.","F.F."],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Great Britain. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990. Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"fullName":["Morton, D.","Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"givenName":["Daniel","R.M.","G.M.","J.M.","R.A.","A.G","R.","N.J.","R.T","P.","F.F."],"identifier":"f802edfc-86b7-4ab9-b8fa-87e9135237c9","incomingCitationCount":2,"keyword":["Great Britain","Land cover","Habitats"],"keywordsOther":["Habitats"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"In a major development of earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see the on-line supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T19:04:23.000Z","orcid":["https://orcid.org/0000-0001-5916-5174"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287415172209","CEH:EIDC::1287415172209","https://catalogue.ceh.ac.uk/id/f802edfc-86b7-4ab9-b8fa-87e9135237c9","10.5285/f802edfc-86b7-4ab9-b8fa-87e9135237c9","doi:10.5285/f802edfc-86b7-4ab9-b8fa-87e9135237c9"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Great Britain. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products…","state":"published","supplementalDescription":["Fuller, R.M., Smith, G.M., Sanderson, J.M., Hill, R.A., & Thomson, A.G. (2002). The UK Land Cover Map 2000: construction of a parcel-based vector map from satellite images. Cartographic Journal, 39. 15-25."],"supplementalName":["Project website"],"title":"Land Cover Map 2000 (25m raster, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["ADAS UK Ltd"],"authorFamilyName":["Gooday","Anthony","Calrow","Harris","Skirvin"],"authorFullName":["Gooday, R.","Anthony, S.","Calrow, L.","Harris, D.","Skirvin, D."],"authorGivenName":["R.","S.","L.","D."],"authorRor":["https://ror.org/006d11e04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Modelled predictions of annual pollutant loads in rivers from agricultural source areas for Scotland, reported at Water Framework  Directive (WFD) catchment scale. The modelled pollutants include total phosphorous, nitrate (NO3-N), faecal indicator organisms (FIOs), suspended solids, methane (CH4) and nitrous oxide (N2O) gas emissions. The agricultural source areas include arable land, improved grassland, rough grazing land and others (e.g. steadings, tracks and other non-field losses). Modelled predictions account for current (c. 2012) implementation of General Binding Rules, Nitrate Vulnerable Zone Action Programme and a number of SRDP options. The values specify pollutant losses in 10^6 colony forming units (cfu) per year for FIOs and kilograms per year for the other pollutants.","documentType":"GEMINI_DOCUMENT","familyName":["Gooday","Anthony","Calrow","Harris","Skirvin"],"fullName":["Gooday, R.","Anthony, S.","Calrow, L.","Harris, D.","Skirvin, D."],"givenName":["Richard","R.","S.","L.","D."],"identifier":"d4d5a10e-1612-4bb5-97b2-2b850cccdcb2","incomingCitationCount":0,"keyword":["Agriculture","Pollution","agricultural pollution","nitrogen oxide","methane","nitrate","suspended matter","faecal bacterium","phosphorus"],"keywordsOther":["agricultural pollution","nitrogen oxide","methane","nitrate","suspended matter","faecal bacterium","phosphorus"],"keywordsTheme":["Agriculture","Pollution"],"licence":"Non-Open government licence","lineage":"The methodology is based on [1], [2] and [3] who developed and proved a generic methodology for calculating the impacts of mitigation methods on the control of diffuse pollution. The methodology involves the derivation of a meta-model of export coefficients from the output of more detailed process based models (including NEAP-N, PSYCHIC, IPCC) applied to common descriptions of farm systems that are representative of typical practice. Simulations are carried out for every farm type on a 1 km2 grid across Scotland, using local soil and climate information, and then the results aggregated by WFD waterbody and scaled by data from the June Agricultural Census data for 2010. The impacts of mitigation methods, representing General Binding Rules and the Nitrate Vulnerable Zone Action Programme, were characterised based upon literature, modelling and expert review from the project steering group verification of the modelled pollutant loads was performed by comparison with measured data for 56 large catchments, where data had been recorded for the purpose of reporting to the Oslo-Paris Commission.\n\n[1] Anthony, S., Turner, T., Roberts, A., Harris, D., Hawley, J., Collins, A., and Withers, P. (2008) Evaluating the extent of agricultural phosphorus losses across Wales. Defra project WT0743CSF, Final Report, ADAS UK Ltd, 281 pp.\n[2] Anthony, S., Duethman, D., Gooday, R., Harris, D., Newell-Price, P., Chadwick, D. and Misselbrook, T. (2009) Quantitative Assessment of Scenarios for Managing Trade-Off between the Economic Performance of Agriculture and the Environment and Between Different Environmental Media. Final Report, Defra Project WQ0106 (Module 6), 95 pp.\n[3] Anthony, S., Jones, I., Naden, P., Newell-Price, P, Jones, D., Taylor, R., Gooday, R., Hughes, G., Zhang, Y., Fawcett, L., Simpson, D., Turner, A., Fawcett, C., Turner, D., Murphy, J., Arnold, A., Blackburn, J., Duerdoth, C., Hawczak, A., Pretty, J., Scarlett, P., Laize, C., Douthwright, T., Lathwood, T., Jones, M., Peers, D., Kingston, H., Chauhan, M., Williams, D., Rollett, A., Roberts, J., Old, G., Roberts, C., Newman, J., Ingram, W., Harman, M., Wetherall, J. and Edwards-Jones, G. (2012) Contribution of the Welsh agri-environment schemes to the maintenance and improvement of soil and water quality, and to the mitigation of climate change. Welsh Government, Agri-Environment Monitoring and Technical Services Contract Lot 3: Soil, Water and Climate Change (Ecosystems), No. 183/2007/08, Final Report, 477 pp + Appendices.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-27T19:01:30.000Z","organisation":["ADAS UK Ltd","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4d5a10e-1612-4bb5-97b2-2b850cccdcb2","10.5285/d4d5a10e-1612-4bb5-97b2-2b850cccdcb2","doi:10.5285/d4d5a10e-1612-4bb5-97b2-2b850cccdcb2"],"resourceType":"Dataset","ror":["https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Modelled predictions of annual pollutant loads in rivers from agricultural source areas for Scotland, reported at Water Framework  Directive (WFD) catchment scale. The modelled pollutants include total phosphorous, nitrate (NO3-N), faecal indicator organisms (FIOs),…","state":"published","supplementalDescription":["The WFD catchments are not published by SEPA yet however, it is SEPA's intention to add the WFD catchment dataset to its Environmental data page. In the meantime, the WFD catchment shapefile can be requested from SEPA using their 'contact us by email' form."],"supplementalName":["Water Framework  Directive (WFD) catchments for Scotland"],"title":"Diffuse agricultural pollution to rivers in Scotland ","topic":["0/Agriculture/","0/Pollution/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Umeå University","Loughborough University","M.Johnson@nottingham.ac.uk","Politecnico di Torino"],"authorFamilyName":["Mason","Rice","Johnson","Wood","Vettori"],"authorFullName":["Mason, R.J.","Rice, S.P.","Johnson, M.F.","Wood, P.J.","Vettori, D."],"authorGivenName":["R.J.","S.P.","M.F.","P.J.","D."],"authorOrcid":["https://orcid.org/0000-0002-4571-7393","https://orcid.org/0000-0003-0737-9845","https://orcid.org/0000-0003-1336-5490","https://orcid.org/0000-0003-4629-3163","https://orcid.org/0000-0001-5121-4197"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise resistance of aquatic bioconstructions (Trichoptera cases), and the loose sediment they were built from, to hydraulic forces measured in a hydraulic flume.\n\nS1_Velocimetry_data contains the output after post-processing the acoustic Doppler velocimetry data for each flow stage. This includes the mean and SD of velocity (m/s) for each direction (U – downstream, V – vertical and W- cross stream), the quality of the data recorded by the ADV (Signal to noise ratio and correlation) and calculated values of turbulent kinetic energy and bed shear stress. An explanation of each variable and units are included in the file.\nS2_Case-grain-size-distribution_data contains the grain size distributions for each caddisfly case obtained by sieving the case sediment. Includes the mass of sediment in half phi size intervals from 0.063 mm to 8 mm diameter. An explanation of each variable and units are included in the file.\n\nS3_Entrainment_data contains the percentage of sediment entrained during each flow stage (1-11). Percentage of sediment measured using photography of sediment remaining on the measurement platform. An explanation of each variable and units are included in the file.\n\nS4_Case-and-entrainment-threshold_data contains the caddisfly case characteristics (mass and a,b&c axes), critical entrainment thresholds and general movement data for each case and loose sediment. An explanation of each variable and units are included in the file.","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Rice","Johnson","Wood","Vettori"],"fullName":["Mason, R.J.","Rice, S.P.","Johnson, M.F.","Wood, P.J.","Vettori, D."],"givenName":["R.J.","S.P.","M.F.","P.J.","D."],"identifier":"cce26277-0b17-4c25-aa08-dd1486f89d9b","incomingCitationCount":1,"keyword":["Ecosystem engineering","Fine sediment","Fluvial geomorphology","Zoogeomorphology","Biogeomorphology","Trichoptera","caddisfly","Sericostoma personatum","Potamophylax latipennis","Agapetus fuscipes","insect","sediment","aquatic ecology","geomorphology","biological engineering"],"keywordsOther":["Ecosystem engineering","Fine sediment","Fluvial geomorphology","Zoogeomorphology","Biogeomorphology","Trichoptera","caddisfly","Sericostoma personatum","Potamophylax latipennis","Agapetus fuscipes","insect","sediment","aquatic ecology","geomorphology","biological engineering"],"licence":"Open government licence","lineage":"We undertook a hydraulic flume experiment to quantify the effect of caddisfly case construction on sediment transport in rivers. The cases of three species were considered; two that construct different styles of tubular case (Potamophylax latipennis and Sericostoma personatum) and one that builds a domed case (Agapetus fuscipes). We compare the bed shear stress required to transport (1) empty caddisfly cases and (2) individual sediment particles following disaggregation from the case. Cases and sediment were placed in the centre of the flume and hydraulic force increased through 11 flow stages. The amount of sediment eroded at each flow stage was measured using analysis of photographs taken at each stage. Flume experiments were conducted between 20th August and 20th September 2019 and caddisfly collected on 17th June and 18th August 2019.","locations":["POLYGON((-1.242 52.763, -1.242 52.776, -1.299 52.776, -1.299 52.763, -1.242 52.763))"],"metadataDate":"2026-06-29T17:03:46.000Z","orcid":["https://orcid.org/0000-0002-4571-7393","https://orcid.org/0000-0003-0737-9845","https://orcid.org/0000-0003-1336-5490","https://orcid.org/0000-0003-4629-3163","https://orcid.org/0000-0001-5121-4197"],"organisation":["Umeå University","Loughborough University","M.Johnson@nottingham.ac.uk","Politecnico di Torino","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cce26277-0b17-4c25-aa08-dd1486f89d9b","10.5285/cce26277-0b17-4c25-aa08-dd1486f89d9b","doi:10.5285/cce26277-0b17-4c25-aa08-dd1486f89d9b"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise resistance of aquatic bioconstructions (Trichoptera cases), and the loose sediment they were built from, to hydraulic forces measured in a hydraulic flume.\n\nS1_Velocimetry_data contains the output after post-processing the acoustic Doppler velocimetry…","state":"published","supplementalDescription":["The zoogeomorphology of case‐building caddisfly: Quantifying sediment use. Richard J. Mason, Stephen P. Rice, Paul J. Wood, Matthew F. Johnson. 2019. Earth Surface Processes and Landforms. 44. 10.1002/esp.4670. ","Invertebrate zoogeomorphology: A review and conceptual framework for rivers. Richard J. Mason, Harry Sanders. 2021. "],"title":"Hydraulic mobility of aquatic insect (Trichoptera) bioconstructions and incorporated sediments","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Stirling","Durham University"],"authorFamilyName":["Morley","Jump","Donoghue"],"authorFullName":["Morley, P.","Jump, A.","Donoghue, D."],"authorGivenName":["P.","A.","D."],"authorOrcid":["https://orcid.org/0000-0002-7503-2520","https://orcid.org/0000-0002-2167-6451","https://orcid.org/0000-0002-9931-9083"],"availability":"Available","catalogue":"eidc","dataFormat":["las","TIFF"],"description":"This dataset comprises co-aligned hyperspectral and LiDAR data collected of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. Data was collected using the Headwall Hyperspec Nano sensor flown from a unmanned aerial vehicle (UAV) in September 2020. The dataset comprises image and LiDAR data of four sites, each approximately 8ha in size. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable individual tree and stand level assessment of the response (canopy damage and defoliation) of European beech trees to extreme drought events. The hyperspectral images available in this dataset have approx. 5cm pixel size with an associated LiDAR dataset and are suitable for identifying individual trees and the degree of canopy damage (defoliation, discolouration, and mortality) sustained by individuals/stands within the forest.\nThe work was supported by the Natural Environment Research Council (Grant NE/V00929X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Morley","Jump","Donoghue"],"fullName":["Morley, P.","Jump, A.","Donoghue, D."],"funder":["Natural Environment Research Council"],"givenName":["P.","A.","D."],"grant":["NE/V00929X/1"],"identifier":"23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76","incomingCitationCount":0,"keyword":["Germany","UAV","Hyperspectral","LiDAR","Extreme Drought","Canopy Condition","European beech","drought"],"keywordsOther":["UAV","Hyperspectral","LiDAR","Extreme Drought","Canopy Condition","European beech","drought"],"keywordsPlace":["Germany"],"licence":"Open government licence","lineage":"The Hyperspectral data were collected and have been processed to surface reflectance data and orthorectified by the NERC Field Spectroscopy Facility. The Facility has also cleaned the lidar data files to remove random points above the canopy. ","locations":["POLYGON((10.082 50.466, 10.082 50.508, 10.116 50.508, 10.116 50.466, 10.082 50.466))"],"metadataDate":"2026-06-29T15:40:17.000Z","orcid":["https://orcid.org/0000-0002-7503-2520","https://orcid.org/0000-0002-2167-6451","https://orcid.org/0000-0002-9931-9083"],"organisation":["University of Stirling","Durham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-06-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76","10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76","doi:10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76"],"resourceType":"Dataset","rightsHolder":["University of Stirling","Durham University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises co-aligned hyperspectral and LiDAR data collected of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. Data was collected using the Headwall Hyperspec Nano sensor flown from a unmanned…","state":"published","title":"Co-aligned hyperspectral and LiDAR data collected in drought-stressed European beech forest, Rhӧn Biosphere Reserve, Germany, 2020","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["ADAS UK Ltd","Rothamsted Research North Wyke"],"authorFamilyName":["Nicholson","Chambers","Lord","Bessey","Misselbrook"],"authorFullName":["Nicholson, F.","Chambers, B.","Lord, E.","Bessey, R.","Misselbrook, T."],"authorGivenName":["F.","B.","E.","R. ","T."],"authorRor":["https://ror.org/006d11e04","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Estimates of annual volumes of manure produced by six broad farm livestock types for England and Wales at 10 km resolution, modelled with MANURES-GIS [1]. \n\nThe farm livestock classes are: dairy cattle; beef cattle; pigs; sheep and other livestock; laying hens; broilers and other poultry. The quantities produced by each type are subsequently apportioned into managed and field-deposited manure. The managed manure sources are categorised as beef farmyard manure, beef slurry, dairy farmyard manure, dairy slurry, broiler litter, layer manure, pig farmyard manure, pig slurry and sheep farmyard manure. The destinations are recorded as grass, winter arable, spring arable and direct excreta when grazing. For each 10 km square, the quantity of manure going from each source to each destination is estimated. The values specify amount of excreta, in kilograms for solid manure and in litres for liquid manure.\n\n [1] ADAS (2008) The National Inventory and Map of Livestock Manure Loadings to Agricultural Land: MANURES-GIS. Final Report for Defra Project WQ0103","documentType":"GEMINI_DOCUMENT","familyName":["Gooday","Nicholson","Chambers","Lord","Bessey","Misselbrook"],"fullName":["Gooday, R.","Nicholson, F.","Chambers, B.","Lord, E.","Bessey, R.","Misselbrook, T."],"givenName":["Richard","F.","B.","E.","R. ","T."],"identifier":"517717f7-d044-42cf-a332-a257e0e80b5c","incomingCitationCount":1,"keyword":["Modelling","Pollution","agriculture","livestock farming","manure","beef cattle","agriculture and cattle industry","poultry","piggery"],"keywordsOther":["agriculture","livestock farming","manure","beef cattle","agriculture and cattle industry","poultry","piggery"],"keywordsTheme":["Modelling","Pollution"],"licence":"Open government licence","lineage":"Results are derived from the MANURES-GIS model (Defra WQ0103) developed by ADAS [1]. \n\nMANURES-GIS creates a conceptual framework of manure/excreta flow pathways, using Node and Link tree diagrams, similar to the National Ammonia Reduction Strategy Evaluation System (NARSES) model [2]. The framework is divided into six broad livestock classes (dairy cattle; beef cattle; pigs; sheep and other livestock; laying hens; broilers and other poultry). Each livestock class is further divided into stages representing: excretion, housing, grazing, hardstandings, storage, export and land spreading. These stages are then further subdivided, for example, housing may be on a slurry or solid manure based system, slurry storage may be in a lagoon or above-ground tank etc. At each stage, alterations to the composition of the manure may occur through loss processes (e.g. ammonia or methane emissions), gains (e.g. straw added during housing) or transformations (e.g. immobilisation of ammonium-N during farmyard manure storage). \nThe livestock and cropping data used to parametrise MANURES-GIS are sourced from the 2010 June Survey from Defra and the Welsh Government. \n\n[1] ADAS (2008) The National Inventory and Map of Livestock Manure Loadings to Agricultural Land: MANURES-GIS. Final Report for Defra Project WQ0103\n[2] Webb, J. and Misselbrook, T. (2004). A mass flow model of ammonia emissions from UK livestock production. Atmospheric Environment, 38, 2163-2176","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T17:09:11.000Z","organisation":["ADAS UK Ltd","Rothamsted Research North Wyke","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-03-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/517717f7-d044-42cf-a332-a257e0e80b5c","10.5285/517717f7-d044-42cf-a332-a257e0e80b5c","doi:10.5285/517717f7-d044-42cf-a332-a257e0e80b5c"],"resourceType":"Dataset","ror":["https://ror.org/006d11e04","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"Estimates of annual volumes of manure produced by six broad farm livestock types for England and Wales at 10 km resolution, modelled with MANURES-GIS [1]. \n\nThe farm livestock classes are: dairy cattle; beef cattle; pigs; sheep and other livestock; laying hens; broilers…","state":"published","title":"Estimates of manure volumes by livestock type and land use for England and Wales","topic":["0/Modelling/","0/Pollution/"],"version":1.0,"view":["public","nuri"]},{"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":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.\n\nThe 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A 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":"0808d05b-f6da-4e76-a145-48d45a109707","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Biodiversity Action Plan"],"keywordsOther":["Biodiversity Action Plan"],"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. 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 1 km percentage and dominant products are created by calculating the percentage cover for each land cover classes for every 1km x 1km pixel, then reporting the dominant land cover class with the highest percentage cover for each 1km pixel.","locations":["POLYGON((-8.481 50.064, -8.481 60.861, 1.768 60.861, 1.768 50.064, -8.481 50.064))"],"metadataDate":"2026-06-29T15:42:00.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/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/0808d05b-f6da-4e76-a145-48d45a109707","10.5285/0808d05b-f6da-4e76-a145-48d45a109707","doi:10.5285/0808d05b-f6da-4e76-a145-48d45a109707"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action…","state":"published","title":"Land Cover Map 2022 (1km summary rasters, GB and N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Manchester","University of Minnesota"],"authorFamilyName":["Connolly","Del Carratore","Schmidt","Bisesi","Martinson","Chua","Kuhs","Boneza","Heinsch","Kinkel","Smanski","Harcombe","Breitling","Takano"],"authorFullName":["Connolly, J.A.","Del Carratore, F.","Schmidt, K.","Bisesi, A.","Martinson, J.N.V.","Chua, J.","Kuhs, M.","Boneza, M.","Heinsch, S.","Kinkel, L.","Smanski, M.","Harcombe, W.R.","Breitling, R.","Takano, E."],"authorGivenName":["J. A.","F.","K.","A.","J. N. V.","J.","M.","S.","L.","W. R.","R.","E."],"authorOrcid":["https://orcid.org/0000-0003-3643-5578","https://orcid.org/0000-0003-1647-7818","https://orcid.org/0000-0002-5331-5589","https://orcid.org/0000-0001-7173-0922","https://orcid.org/0000-0002-6791-3256"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/017zqws13"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains features detected by untargeted metabolomics analysis of paired cultures of 4 interacting Streptomyces bacteria. The bacteria were originally isolated from a nature reserve in Minnesota USA. Daily samples of spot cultures grown in adjacent pairs on solid ISP2 medium were taken from day 2 to 6 in triplicate. Metabolites were obtained by cold methanol extraction, and liquid chromatography-mass spectrometry data was collected in both positive and negative ionisation modes. This dataset contains the mass-to-charge (m/z) and retention time of identified peaks, and their ion intensity in each sample. The relative abundance of these identified features was later compared between pairs of interacting strains to gain insight into changes in their metabolism. \n\nThis work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458).","documentType":"GEMINI_DOCUMENT","familyName":["Connolly","Del Carratore","Schmidt","Bisesi","Martinson","Chua","Kuhs","Boneza","Heinsch","Kinkel","Smanski","Harcombe","Breitling","Takano"],"fullName":["Connolly, J.A.","Del Carratore, F.","Schmidt, K.","Bisesi, A.","Martinson, J.N.V.","Chua, J.","Kuhs, M.","Boneza, M.","Heinsch, S.","Kinkel, L.","Smanski, M.","Harcombe, W.R.","Breitling, R.","Takano, E."],"givenName":["J. A.","F.","K.","A.","J. N. V.","J.","M.","S.","L.","W. R.","R.","E."],"identifier":"4921f306-5efa-4bf7-a15e-a157c2665889","incomingCitationCount":0,"keyword":["Minnesota","Biodiversity","bacteria","microbiology","co-culture","microbiome","Streptomyces","mass spectrometry","Actinomycetes","metabolomics","untargeted"],"keywordsOther":["bacteria","microbiology","co-culture","microbiome","Streptomyces","mass spectrometry","Actinomycetes","metabolomics","untargeted"],"keywordsPlace":["Minnesota"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The 4 Streptomyces strains were previously isolated from Minnesota soil as described in Schlatter, D.C. et al (2013), co-culturing, metabolite extraction and LC-MS experiments were performed in the Manchester Institute of Biotechnology, University of Manchester, UK. Data was collected on a Q-Exactive Mass Spectrometer (ThermoFisher). Outputs were converted to mzML format by the ProteoWizard MS converter. Noise removal, signal filtering and peak matching was performed in the open source mzMatch software. Pooled quality control samples were analysed at every 6th injection to assess for analytical drift over time. The sample injection sequence was randomised. ","metadataDate":"2026-06-29T10:57:11.000Z","orcid":["https://orcid.org/0000-0003-3643-5578","https://orcid.org/0000-0003-1647-7818","https://orcid.org/0000-0002-5331-5589","https://orcid.org/0000-0001-7173-0922","https://orcid.org/0000-0002-6791-3256"],"organisation":["University of Manchester","University of Minnesota","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4921f306-5efa-4bf7-a15e-a157c2665889","10.5285/4921f306-5efa-4bf7-a15e-a157c2665889","doi:10.5285/4921f306-5efa-4bf7-a15e-a157c2665889"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/017zqws13","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains features detected by untargeted metabolomics analysis of paired cultures of 4 interacting Streptomyces bacteria. The bacteria were originally isolated from a nature reserve in Minnesota USA. Daily samples of spot cultures grown in adjacent pairs…","state":"published","title":"Features detected by untargeted metabolomic analysis of paired cultures of four strains of Streptomyces bacteria isolated from a nature reserve in Minnesota, USA","topic":["0/Biodiversity/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Reading"],"authorFamilyName":["Redhead","Oliver","Woodcock","Pywell"],"authorFullName":["Redhead, J.W.","Oliver, T.H.","Woodcock, B.A.","Pywell, R.F."],"authorGivenName":["J.W.","T.H.","B.A.","R.F."],"authorOrcid":["https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0002-4169-7313","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"Data on resilience of wheat yields in England, derived from the annual Defra Cereals and Oilseeds production survey of commercial farms. The data presented here are summarised over a ten-year time-series (2008-2017) at 10km x10km grid cell (hectad) resolution. The data give the mean yield, relative yield, yield stability and resistance to an extreme event (the poor weather of 2012), for all hectads with at least one sampled farm holding in each year of the time-series (i.e. the minimum data required to calculate the resilience metrics). These metrics were calculated to explore the impact of landscape structure on yield resilience. The data also give the number of samples per year per hectad, so that sampling biases can be explored and filtering applied. No hectads are included that contain data from <9 holdings across the time series (the minimum level required by Defra to maintain anonymity is <5). \n\nThe data were created under the ASSIST (Achieving Sustainable Agricultural Systems) project by staff at the UK Centre for Ecology & Hydrology to enable exploration of the impacts of agriculture on the environment and vice versa, enabling farmers and policymakers to implement better, more sustainable agricultural practices.","documentType":"GEMINI_DOCUMENT","familyName":["Redhead","Oliver","Woodcock","Pywell"],"fullName":["Redhead, J.W.","Oliver, T.H.","Woodcock, B.A.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["J.W.","T.H.","B.A.","R.F."],"grant":["NE/N018125/1"],"identifier":"7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea","incomingCitationCount":0,"keyword":["Achieving Sustainable Agricultural Systems (ASSIST)","Agriculture","Land use","agriculture","yield (agricultural)","wheat"],"keywordsOther":["agriculture","yield (agricultural)","wheat"],"keywordsProject":["Achieving Sustainable Agricultural Systems (ASSIST)"],"keywordsTheme":["Agriculture","Land use"],"licence":"Open government licence","lineage":"The original yield data were collected by Defra using a survey of a stratified random sample of farm holdings, as part of the annual June census of the English agricultural industry. Data were available for ten years (2008-2017), comprising average winter wheat yield per holding and coordinates locating each to 1 km. UKCEH obtained these data under a confidentiality agreement with Defra. Data were cleaned to remove anomalous yield values (zero values, whole crop silage harvests and obvious outliers).\n\nBecause a new random sample of farm holdings is drawn each year, few had consecutive data across 10 years. To analyse yield variation over time and account for local spatial variation in farming practices data were therefore aggregated to mean annual yield per 10km x 10km Ordnance Survey grid cell ('hectad'). This also preserves survey respondent anonymity by ensuring that no yield value can be attributed to the location of a single holding (a condition of use for the original Defra survey data, in line with the Agricultural Statistics Act 1979). Resilience metrics were then calculated across the time series (see below). Data included here give these metrics for 315 hectads with at least one sampled holding in each year of the time-series (i.e. the minimum data required to calculate the resilience metrics), although further analyses used only 137 that were deemed to be sufficiently well-sampled to avoid biases relating to sample size. This was based on thresholds for the minimum permissible number of samples per year and the number of years permitted to have this value, to determine which combination retained the maximum number of samples whilst removing the significant correlations between sample size and mean yield and between mean sample size and mean yield over time. A threshold value of no more than one year with a single sample and no more than two years having less than three samples was found to meet achieve this.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-03T08:42:24.000Z","orcid":["https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0002-4169-7313","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","University of Reading","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea","10.5285/7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea","doi:10.5285/7dbcee0c-00ca-4fb2-93cf-90f2a5ca37ea"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"Data on resilience of wheat yields in England, derived from the annual Defra Cereals and Oilseeds production survey of commercial farms. The data presented here are summarised over a ten-year time-series (2008-2017) at 10km x10km grid cell (hectad) resolution. The data…","state":"published","title":"Wheat yield resilience metrics for sample 10km x 10km grid cells in England, 2008-2017","topic":["0/Agriculture/","0/Land use/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rennie","Morecroft","Pallett","Schafer","Taylor"],"authorFullName":["Rennie, S.","Morecroft, M.","Pallett, D.","Schafer, S.","Taylor, M."],"authorGivenName":["S.","M.","D."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The Environmental Change Network (ECN) coarse-grain and woodland protocols were used to assess the vegetation within the deer exclosure plots at the ECN Wytham site.  In the ECN coarse-grain protocol, 2m x 2m plots are randomly selected on the site.  Species presence is recorded in each of the 25 40cm x 40cm cells within the plots.\n  \nIn the ECN woodland protocol seedlings, diameter at breast height (dbh), tree height and dominance are recorded in 10m x 10m plots. 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","Morecroft","Pallett","Schafer","Taylor"],"fullName":["Rennie, S.","Morecroft, M.","Pallett, D.","Schafer, S.","Taylor, M."],"givenName":["S.","M.","D."],"identifier":"3ff83bf2-4864-4a7c-9ec0-df1811a99a71","incomingCitationCount":0,"keyword":["Wytham","Environmental survey"],"keywordsPlace":["Wytham"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). 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((-1.353 51.755, -1.353 51.787, -1.301 51.787, -1.301 51.755, -1.353 51.755))"],"metadataDate":"2026-06-29T16:53:38.000Z","orcid":["https://orcid.org/0000-0002-0027-0436"],"organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2018-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ff83bf2-4864-4a7c-9ec0-df1811a99a71","10.5285/3ff83bf2-4864-4a7c-9ec0-df1811a99a71","doi:10.5285/3ff83bf2-4864-4a7c-9ec0-df1811a99a71"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Environmental Change Network (ECN) coarse-grain and woodland protocols were used to assess the vegetation within the deer exclosure plots at the ECN Wytham site.  In the ECN coarse-grain protocol, 2m x 2m plots are randomly selected on the site.  Species presence…","state":"published","title":"Environmental Change Network (ECN)  Wytham deer exclosure experiment: 1997-2008","topic":["0/Environmental survey/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Sowerby","Emmett"],"authorFullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"authorGivenName":["S.","A.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily automated weather station (AWS) data from the Climoor field site in Clocaenog forest, North East Wales. The data are air temperature (mean, minimum and maximum), rainfall, net radiation, solar radiation, photosynthetically active radiation (PAR), wind speed and direction. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Data runs from 12/6/1999 until 30/06/2015, no data was collected March 2006 and June 2008. Air temperature, rainfall and wind speed and direction were recorded since June 1999. Measurements of relative humidity, air pressure, net and solar radiation and PAR started in June 2008. Since June 2008, data are recorded in minute intervals, averaged to hourly, then to daily means that are reported here. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Sowerby","Emmett"],"fullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"givenName":["Sabine","S.","A.","B.A."],"identifier":"7f2a4935-a9e8-47dc-b126-93d9e19496bd","incomingCitationCount":0,"keyword":["Climate and climate change","AWS","meteorology","weather","climate change","biogeochemistry","air temperature","atmospheric precipitation","solar radiation","meteorological parameter"],"keywordsOther":["AWS","meteorology","weather","climate change","biogeochemistry","air temperature","atmospheric precipitation","solar radiation","meteorological parameter"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Prior to 2008, daily data was recorded on loggers at the field site, and manually downloaded into the project files on the CEH Bangor server by project staff. After 2008, hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry. An automated script transferred the data into the project shared area of the shared network drive. Data quality checking was done on a regular basis by an experienced member of the team who has worked at the field site and on data from the Clocaenog site for 14 years. Data was visually inspected using basic graphing tools, and erroneous values were removed, taking into account the weather at the site during the period in question. Data processing steps included using a macro to combine data from individual 24 hour periods into larger timed periods (post-2008), then data was cut/pasted into raw data files. Data here is collated raw data, and has only had erroneous values removed followed by basic average or summing (in the case of rainfall) calculations being carried out. The following measures were taken with sensors from Campbell Scientific: relative humidity and air temperature are recorded with an HMP45C sensor. Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer and net radiation is measured with an NR-Lites sensor. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed are recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-06-29T17:06:43.000Z","orcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f2a4935-a9e8-47dc-b126-93d9e19496bd","10.5285/7f2a4935-a9e8-47dc-b126-93d9e19496bd","doi:10.5285/7f2a4935-a9e8-47dc-b126-93d9e19496bd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily automated weather station (AWS) data from the Climoor field site in Clocaenog forest, North East Wales. The data are air temperature (mean, minimum and maximum), rainfall, net radiation, solar radiation, photosynthetically active radiation…","state":"published","title":"Daily automated weather station (AWS) data from Climoor fieldsite in Clocaenog Forest 1999-2015","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","NEIF Radiocarbon Laboratory","University of Edinburgh"],"authorFamilyName":["Brown","Garnett","Eades","Pickard"],"authorFullName":["Brown, A.M.","Garnett, M.","Eades, L.","Pickard, A.E."],"authorGivenName":["A.M.","M.","L.","A.E."],"authorOrcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0001-6486-2126","https://orcid.org/0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Greenhouse gas (GHG) concentrations, physio-chemical water properties, metal concentrations and carbon radiogenic and stable isotope data of the GHG were measured to investigate the properties of mine water from legacy coal mines across the Midland Valley, Scotland between June 2022 to September 2022.\nSixteen identified outflows from abandoned coal mines were selected for measurement.  The locations are distributed from Lathallan Mill in the northeast to Kames in the southwest and included mine water outflows from the Fife, Central (Lanarkshire), Lothian and Ayrshire coal fields.  Some of the outflows had treatment systems and others discharged directly into rivers or streams.\n","documentType":"GEMINI_DOCUMENT","familyName":["Brown","Garnett","Eades","Pickard"],"fullName":["Brown, A.M.","Garnett, M.","Eades, L.","Pickard, A.E.","Brown, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","M.","L.","A.E.","Alison"],"grant":["NE/S007431/1"],"identifier":"49daf07b-cfbe-48d1-8889-1adafe410a2e","incomingCitationCount":0,"keyword":["Water quality","Mine water","Scotland","Carbon stable and radiogenic isotopes","methane","metal","carbon","coal","carbon dioxide","mine","greenhouse gas"],"keywordsOther":["Mine water","Scotland","Carbon stable and radiogenic isotopes","methane","metal","carbon","coal","carbon dioxide","mine","greenhouse gas"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Measurements were made across the 16 selected locations over the period June 2022 to September 2022. Water properties were analysed within the lab at UKCEH Edinburgh, metals were analysed by the University of Edinburgh and radiogenic isotopes of dissolved methane (CH4) and carbon dioxide (CO2) by the National Environmental Isotope Facility (NEIF) Radiocarbon Laboratory.  Data were collected as follows:\n1.\tMine water sources (at the location mine water reaches the surface and is accessible for measurement). This included detailed measurement of carbon stable and radiogenic isotopes of dissolved CH4 and CO2, metal concentrations, GHG (CO2, CH4 and N2O) concentrations, physio-chemical water properties including temperature, pH, conductivity, oxygen, dissolved carbon and nitrogen and a range of ionic species.  \n2.\tMine water treatment effectiveness. This included measurements of mine water throughout the reed pools treatments systems at four of the sixteen sites.  This included two sites using chemical oxidation and two sites using an aeration cascade.  Measurements   included metal concentrations, GHG concentrations and physio-chemical water properties.  Carbon stable and radiogenic carbon isotopes of dissolved CH4 and CO2 were measured in the reed pool to enable comparison with the source.\nData were carefully quality controlled to check analytical methods data were correct including cross checking of data between surveys.   Any suspect data have been removed.\nSamples were collected and analysed as part of an IAPETUS 2 Doctoral Training Programme (DTP) NERC funded PHD.  \n","locations":["POLYGON((-4.4 55.46, -4.4 56.33, -2.79 56.33, -2.79 55.46, -4.4 55.46))"],"metadataDate":"2026-06-29T17:21:46.000Z","orcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0001-6486-2126","https://orcid.org/0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NEIF Radiocarbon Laboratory","University of Edinburgh","NERC EDS Environmental Information Data Centre","University of Glasgow"],"publicationDate":"2023-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/49daf07b-cfbe-48d1-8889-1adafe410a2e","10.5285/49daf07b-cfbe-48d1-8889-1adafe410a2e","doi:10.5285/49daf07b-cfbe-48d1-8889-1adafe410a2e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow","NEIF Radiocarbon Laboratory"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"Greenhouse gas (GHG) concentrations, physio-chemical water properties, metal concentrations and carbon radiogenic and stable isotope data of the GHG were measured to investigate the properties of mine water from legacy coal mines across the Midland Valley, Scotland…","state":"published","title":"Greenhouse gas, carbon isotopes, water physio-chemical properties and metal concentrations from mine water outflows in the Midland Valley, Scotland, 2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorFamilyName":["Bealey","Martin Hernandez","Smith","Stedman"],"authorFullName":["Bealey, W.J.","Martin Hernandez, C.","Smith, R.I.","Stedman, J.R."],"authorGivenName":["W.J.","C.","R.I.","J.R."],"authorOrcid":["https://orcid.org/0000-0003-3708-5864"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset record provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2014 to 2016. The set also includes calculated minimum, maximum and gridded average values for each site. Protected nature sites covered are:\n\n(i)\tSpecial Areas of Conservation (SAC)\n(ii)\tSpecial Protection Areas (SPA)\n(iii)\tSites of Special Scientific Interest (SSSI). \n\nThe data consist of values of nitrogen and acid deposition, and concentrations of ammonia (NH3) based on the Concentration Based Estimated Deposition (CBED), and concentrations of NOx and SO2 using the Pollution Climate Mapping (PCM) model. Nitrogen and acid deposition data is also given for specific habitat types including:\n\n(i)\tmoorland/short vegetation everywhere, \n(ii)\tforest everywhere, and \n(iii)\tthe grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) \n\nThese habitat-specific data are recommended for use with critical loads and levels for the calculation of critical load/level exceedances using the relevant habitat type.","documentType":"GEMINI_DOCUMENT","familyName":["Bealey","Martin Hernandez","Smith","Stedman"],"fullName":["Bealey, W.J.","Martin Hernandez, C.","Smith, R.I.","Stedman, J.R."],"givenName":["W.J. ","W.J.","C.","R.I.","J.R."],"identifier":"735dd995-333c-4b02-8fb1-287b7b2cefdf","incomingCitationCount":0,"keyword":["Pollution","sulphur","ammonia","protected area","sulphur dioxide","nitrogen oxides","pollutant deposition","nature conservation"],"keywordsOther":["sulphur","ammonia","protected area","sulphur dioxide","nitrogen oxides","pollutant deposition","nature conservation"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The Air Pollution Information System (APIS), through the 'Site Relevant Critical Loads' tool, provides critical loads for acidity and nitrogen and critical levels for ammonia, sulphur dioxide and nitrogen oxides for designated features within every SAC, SPA or A/SSSI in the UK. In addition, deposition and concentration data for nitrogen and sulphur pollutants are provided at each site to give an estimate of critical load/level exceedance.\n\nThe data provided is based on pollutant deposition gridded maps for nitrogen and acid deposition and concentration maps of ammonia, nitrogen oxides and sulphur, which are overlayed to a GIS shape file of site boundaries in the UK (e.g. SAC, SPA, SSSI). These gridded maps were then clipped to provide the pollutant values for each grid square including the area of the clipped grid. The resulting data was then queried to generate site statistics in the form of a minimum, maximum and area weighted average values for each of the pollutants.\n\nFor nitrogen and acid deposition values and ammonia concentrations, three year average pollutant maps were used at a resolution of 5 x 5 km from the CBED model for the years 2014-2016. For nitrogen dioxide and sulphur dioxide concentrations the 1 x 1 km PCM model was used based on the 3 year average (2014-2016). Deposition values are generated for specific habitat types (forest and semi-natural) to be used in critical load exceedance calculations.\n\nThis dataset is an update to the 2013-2015 dataset with the addition of concentration and deposition data for the year 2016, and removal of data for the year 2013, hence a new 3-year average 2014 to 2016. The full methodology is available in the contextual metadata which can be found attached to this record.\n\nThe work of APIS is jointly funded between the Centre for Ecology & Hydrology and the UK pollution and conservation agencies including Natural Resources Wales (NRW), the Environment Agency, Northern Ireland Environment Agency, Natural England, the Joint Nature Conservation Committee (JNCC), Scotland and Northern Ireland Forum for Environmental Research (SNIFFER), the Scottish Environment Protection Agency (SEPA), and Scottish Natural Heritage (SNH).","locations":["POLYGON((-8.648 49.863, -8.648 60.861, 1.768 60.861, 1.768 49.863, -8.648 49.863))"],"metadataDate":"2026-06-29T18:01:03.000Z","orcid":["https://orcid.org/0000-0003-3708-5864"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/735dd995-333c-4b02-8fb1-287b7b2cefdf","10.5285/735dd995-333c-4b02-8fb1-287b7b2cefdf","doi:10.5285/735dd995-333c-4b02-8fb1-287b7b2cefdf"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset record provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2014 to 2016. The set…","state":"published","supplementalDescription":["APIS provides a comprehensive source of information on air pollution and the effects on habitats and species. Developed and hosted by the Centre for Ecology & Hydrology (CEH), APIS is a support tool for staff in the UK conservation and regulatory agencies (e.g. SEPA, the Environment Agency, SNH, Natural England, Northern Ireland EA, and CCW), industry and local authorities for assessing the potential effects of air pollutants on habitats and species. As such, it aims to enable a consistent approach to air pollution assessment across the UK."],"supplementalName":["APIS - Air Pollution Information System"],"title":"Deposition and concentration values for protected sites in the UK (2014-2016)","topic":["0/Pollution/"],"version":1.0,"view":["public","dcmo"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"authorGivenName":["L","H","R","M","C"],"authorOrcid":["https://orcid.org/0000-0003-2530-2120"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony forming units (CFUs) of S. Typhimurium on the plastics after destructive sampling of the mesocosm jars. The results of a  flooding and leachate experiment are also included, containing transfer potential and leachate gradients of S. Typhimurium in each soil under ambient, and flooding conditions. Water was added to soil columns containing the microbeads to simulate flooding, and the CFUs in the water and on virgin plastics were measured to determine transfer potential. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken at each time point.\n\nThis dataset was created as part of a study investigating how human pathogens enter agricultural environments via flooding or contaminated irrigation, and to determine the survivability of S. Typhimurium in these soils. This work is supported by the National Environmental Research Council (NE/V005847/1).","documentType":"GEMINI_DOCUMENT","familyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"fullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["Luke","L","H","R","M","C"],"grant":["NE/V005847/1"],"identifier":"0bfdfa23-15f8-4ffd-b1dc-e77178af0304","incomingCitationCount":0,"keyword":["Environmental risk","Pollution","Soil","Water quality","plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsOther":["plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsTheme":["Environmental risk","Pollution","Soil","Water quality"],"licence":"Open government licence","lineage":"Mesocosm experiments were designed in two stages. For the persistence experiment jars were filled with two soil types and microplastic beads were mixed with the soils and left. At each time point destructive sampling was used to recover the beads and measure the surviving CFUs of S. Typhimurium on the plastics. In the flooding and leachate experiment, water was added to columns containing beads and the CFUs recovered in the water was recorded (flooding) and CFUs on virgin plastics was used to measure transfer. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and  in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken each at each time point.\n","metadataDate":"2026-06-29T17:02:47.000Z","orcid":["https://orcid.org/0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","doi:10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony…","state":"published","supplementalDescription":["Woodford, L., Fellows, R., White, H. L., Ormsby, M. J., Pow, C. J., & Quilliam, R. S. (2024). Survival and transfer potential of Salmonella enterica serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils. In Environmental Science and Pollution Research (Vol. 31, Issue 39, pp. 51353–51363). Springer Science and Business Media LLC. "],"title":"Survival rates and transfer potential measurements of Salmonella enterica Serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils","topic":["0/Environmental risk/","0/Pollution/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Universidade do Estado de Mato Grosso","SOS Amazonia","Universidade Federal do Acre"],"authorFamilyName":["Feldpausch","Aragão","Phillips","Carvalho","Vedovato","Pereira","Oliveira","Castro","Marimon","Marimon-Júnior","Silveira"],"authorFullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Carvalho, L.C.","Vedovato, L.B.","Pereira, L.O.","Oliveira, E.A.","Castro, W.","Marimon, B.S.","Marimon-Júnior, B.H.","Silveira, M."],"authorGivenName":["Ted R.","L.E.O.C.","O.L. ","L.C.","L.B. ","L.O. ","E.A. ","W.","B.S.","B.H. ","M. "],"authorOrcid":["https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-4134-6708","https://orcid.org/0000-0002-8993-6168","https://orcid.org/0000-0002-8517-7993","https://orcid.org/0000-0001-7795-9269","https://orcid.org/0000-0001-7641-2288","https://orcid.org/0000-0002-6446-3376","https://orcid.org/0000-0002-5592-9891","https://orcid.org/0000-0003-3105-2914","https://orcid.org/0000-0002-6359-6281","https://orcid.org/0000-0003-0485-7872"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/05hag2y10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains information of Diameter at Breast Height (DBH) of 8,729 trees. These trees are distributed in 29 RAINFOR network forest plots across the Brazilian Amazon, comprising the states of Acre, Mato Grosso and Pará. All the plot censuses are located in terra-firme non-flooded lowland forests. The measurements were collected between 2017 and 2019. \n\nThe Amazon Forest Inventory Network is a long-term, international collaboration to understand the dynamics of Amazon ecosystems. Since 2000 they have developed a framework for systematic monitoring of forests from the ground-up, centred on plots that track the fate of trees and species, and includes soil and plant biogeochemical records, as well as intensive monitoring of carbon cycle processes at some sites. RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists. The work of RAINFOR is currently supported by funding agencies in Brazil, the UK, and the EU.","documentType":"GEMINI_DOCUMENT","familyName":["Feldpausch","Aragão","Phillips","Carvalho","Vedovato","Pereira","Oliveira","Castro","Marimon","Marimon-Júnior","Silveira"],"fullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Carvalho, L.C.","Vedovato, L.B.","Pereira, L.O.","Oliveira, E.A.","Castro, W.","Marimon, B.S.","Marimon-Júnior, B.H.","Silveira, M."],"funder":["Natural Environment Research Council","Coordination of Improvement of Personnel in Higher Education, Brazil (CAPES)","Royal Society for the Global Challenge Award","National Council for Science and Technology Development of Brazil (CNPq)","Fundação de Amparo à Pesquisa do Estado de São Paulo","Rede Amazônia Sustentável Long-term Ecology Project"],"givenName":["Ted R.","L.E.O.C.","O.L. ","L.C.","L.B. ","L.O. ","E.A. ","W.","B.S.","B.H. ","M. "],"grant":["NE/N011570/1","PVE177-2012","88881.128127/2016-01","ICA/R1/180100","PELD/441572/2020-0","PELD/441244/2016","458022/2013-6","2016/21043-8","441659/2016-0","441573/2020-7"],"identifier":"63d4b774-4e03-4db2-95ad-dcca18f0d681","incomingCitationCount":0,"keyword":["Forest inventory","DBH","Tropical forest","Amazon"],"keywordsOther":["Forest inventory","DBH","Tropical forest","Amazon"],"licence":"Open government licence","lineage":"We re-censused 29 plots in the Brazilian Amazon, located in the states of Acre, Pará and Mato Grosso. In total, 8,729 trees and new recruited trees >=10 cm diameter at breast height (DBH) had diameter measured following the RAINFOR protocol. We also collected data on state of the alive trees and dead trees. \nAfter the field campaigns, we uploaded the date to the forestplot.net platform. \nThe field campaigns were conducted between 2017 and 2019.\n","locations":["POLYGON((-68 -11.895, -68 -1.23, -50.273 -1.23, -50.273 -11.895, -68 -11.895))"],"metadataDate":"2026-06-29T16:07:04.000Z","orcid":["https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-4134-6708","https://orcid.org/0000-0002-8993-6168","https://orcid.org/0000-0002-8517-7993","https://orcid.org/0000-0001-7795-9269","https://orcid.org/0000-0001-7641-2288","https://orcid.org/0000-0002-6446-3376","https://orcid.org/0000-0002-5592-9891","https://orcid.org/0000-0003-3105-2914","https://orcid.org/0000-0002-6359-6281","https://orcid.org/0000-0003-0485-7872"],"organisation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Universidade do Estado de Mato Grosso","SOS Amazonia","Universidade Federal do Acre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/63d4b774-4e03-4db2-95ad-dcca18f0d681","10.5285/63d4b774-4e03-4db2-95ad-dcca18f0d681","doi:10.5285/63d4b774-4e03-4db2-95ad-dcca18f0d681"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/05hag2y10","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains information of Diameter at Breast Height (DBH) of 8,729 trees. These trees are distributed in 29 RAINFOR network forest plots across the Brazilian Amazon, comprising the states of Acre, Mato Grosso and Pará. All the plot censuses are located in…","state":"published","title":"Tree diameter census data in intact forest permanent plots across the Amazon Basin, 2017-2019","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Oxford","Instituto Nacional de Pesquisas da Amazônia","University of Leeds","Unaffiliated","Bureau of Meteorology"],"authorFamilyName":["Marthews","Quesada","Galbraith","Malhi","Mullins","Hodnett","Dharssi"],"authorFullName":["Marthews, T.","Quesada, C.A.","Galbraith, D.R.","Malhi, Y.","Mullins, C.E.","Hodnett, M.G.","Dharssi, I."],"authorGivenName":["T.","C.A.","D.R.","Y.","C.E.","M.G.","I."],"authorRor":["https://ror.org/052gg0110","https://ror.org/01xe86309","https://ror.org/024mrxd33","https://ror.org/04dkp1p98"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF","TIFF"],"description":"Spatial data files holding gridded parameter maps of surface soil hydraulic parameters derived from a selection of pedotransfer functions. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good hydraulic parameterisations are often lacking - especially in the tropics - and it is this lack that we fill here in the context of South America. Optimal hydraulic parameter values are given for the Brooks and Corey, Campbell, van Genuchten-Mualem and van Genuchten-Burdine soil hydraulic models, which are widely-used hydraulic sub-models in many land surface models (e.g. Joint UK Land Environment Simulator JULES).","documentType":"GEMINI_DOCUMENT","familyName":["Marthews","Quesada","Galbraith","Malhi","Mullins","Hodnett","Dharssi"],"fullName":["Marthews, T.","Quesada, C.A.","Galbraith, D.R.","Malhi, Y.","Mullins, C.E.","Hodnett, M.G.","Dharssi, I."],"givenName":["Toby","T.","C.A.","D.R.","Y.","C.E.","M.G.","I."],"identifier":"4078678b-768f-43ff-abba-b87712f648e9","incomingCitationCount":6,"keyword":["Amazon","Amazonia","Tropical South America","saturated water","pedotransfer function"],"keywordsOther":["saturated water","pedotransfer function"],"keywordsPlace":["Amazon","Amazonia","Tropical South America"],"licence":"Open government licence","lineage":"Soil measurements have been interpolated from several sources including new and original data as well as older sources such as RADAMBRASIL http://daac.ornl.gov/LBA/guides/Pre_LBA_RADAMBrasil.html , using the polygons of the SOTERLAC soil and terrain database as a base (http://www.isric.org/projects/soter-latin-america-and-caribbean-soterlac ). All files were generated using Esri ArcGIS 10.0 at 15 arc-sec resolution (cells ~ 450 m x 450 m at the Equator) snapped to the HydroSHEDS Digital Elevation Model (http://www.hydrosheds.org/ ). All NetCDF files conform to the Climate and Forecast (CF) conventions. For more detail of all methods followed, please see Marthews et al. (2014).","locations":["POLYGON((-82 -23.5, -82 9, -44 9, -44 -23.5, -82 -23.5))"],"metadataDate":"2026-06-29T17:05:58.000Z","organisation":["UK Centre for Ecology & Hydrology","University of Oxford","Instituto Nacional de Pesquisas da Amazônia","University of Leeds","Unaffiliated","Bureau of Meteorology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-04-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1395401816570","CEH:EIDC::1395401816570","https://catalogue.ceh.ac.uk/id/4078678b-768f-43ff-abba-b87712f648e9","10.5285/4078678b-768f-43ff-abba-b87712f648e9","doi:10.5285/4078678b-768f-43ff-abba-b87712f648e9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/052gg0110","https://ror.org/01xe86309","https://ror.org/024mrxd33","https://ror.org/04dkp1p98","https://ror.org/04xw4m193"],"shortenedDescription":"Spatial data files holding gridded parameter maps of surface soil hydraulic parameters derived from a selection of pedotransfer functions. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good…","state":"published","supplementalDescription":["Marthews, T. R., Quesada, C. A., Galbraith, D. R., Malhi, Y., Mullins, C. E., Hodnett, M. G., and Dharssi, I.: High-resolution hydraulic parameter maps for surface soils in tropical South America, Geosci. Model Dev., 7, 711-723"],"title":"High-resolution hydraulic parameter maps for surface soils in tropical South America","version":1.0,"view":["public","rstu"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=5"}