{"numFound":131,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRegional&facet=impScale%7CNational&facet=impScale%7CCatchment","nextPage":"http://catalogue.ceh.ac.uk/cmp/documents?page=2&facet=impScale%7CRegional&facet=impScale%7CNational&facet=impScale%7CCatchment","results":[{"altTitle":["UKCP09 gridded observation data sets "],"catalogue":"cmp","description":"Gridded datasets of daily rainfall amount (millimetres) and daily maximum, minimum and mean air temperature (degree Celsius), covering the UK at 5 km x 5 km resolution, for the period 1960 to 2011. \n\n\n","documentType":"GEMINI_DOCUMENT","identifier":"87755123-3951-409a-b319-bf518d4ad8a4","impDataType":["Geospatial / Map","Time Series"],"impScale":["National"],"impTopic":["Climate Scenarios","Weather"],"incomingCitationCount":0,"keyword":["Geospatial / Map","Time Series","National","Climate Scenarios","Weather"],"licence":"Non-Open government licence","lineage":"The Met Office archive of daily observations has been used as the main input to the analysis. Geographical effects such as latitude and longitude, altitude, coastal influence, and the effect of urban land use were incorporated through normalisation with respect to monthly 1961-1990 climate normals and, in the case of temperature, a regression model. Station values were then interpolated onto the regular grid using inverse distance weighted interpolation.\nBoth the input station data, and the gridded output have been quality checked. Checking of the output focussed on an analysis of regression residuals for temperature, and on visual inspection of the grids for rainfall. The methods used to generate the daily grids are described I more detail in [1], [2] and [3].\n\n[1] Perry MC, Hollis DM. 2005a. The development of a new set of long-term average climate averages for the UK. International Journal of Climatology 25: 1023-1039.\n[2] Perry MC, Hollis DM. 2005b. The generation of monthly gridded datasets for a range of climatic variables over the UK. International Journal of Climatology 25: 1041-1054.\n[3] Perry MC, Hollis DM and Elms M. 2009. The generation of daily gridded datasets of temperature and rainfall for the UK. National Information Centre. Climate Memorandum No 24. Available at: http://www.metoffice.gov.uk/binaries/content/assets/mohippo/pdf/uk-climate/papers/cm24_generation_of_daily_gridded_datasets.pdf [Access 02/02/2017]","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["Met Office"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/87755123-3951-409a-b319-bf518d4ad8a4"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"MO daily gridded rainfall and temperature for the UK (1960-2011) [UKCP09]","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Gridded datasets of daily rainfall amount (millimetres) and daily maximum, minimum and mean air temperature (degree Celsius), covering the UK at 5 km x 5 km resolution, for the period 1960 to 2011. \n\n\n"},{"publicationDate":"2016-01-11T00:00:00.000+00:00","catalogue":"cmp","description":"The EU Common Agricultural Policy (CAP) requires the Scottish Government to set up an Integrated Administration and Control System (IACS) to support schemes covered by the Single Application Form and other farm subsidy applications. The Single Application Form is a declaration of all the permanent and seasonal agricultural and non-agricultural land parcels in the UK and is used to claim subsidies for the following:\n\n- Basic Payment Scheme (including Greening and Young Farmers payments)\n- Less Favoured Area Support Scheme\n- Land Managers' Options\n- Rural Priorities\n- Scottish Suckler Beef Support Scheme (Mainland and Island)\n- Scottish Upland Sheep Support Scheme\n\nThe IACS is updated annually and includes detailed land use information for each field receiving subsidy under any of the above schemes. The exact spatial extent of the data varies from year to year, but typically encompasses around three-quarters of the total land area of Scotland. The data are used to meet the statistical requirements of the June Agricultural Census and also provide the most detailed land use information available for agricultural regions of Scotland. Note that other land uses (woodland, managed estates etc.) are not comprehensively represented.","documentType":"GEMINI_DOCUMENT","identifier":"4a52b4a2-b36e-4e39-8650-b6c5b1fae691","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Administration Units","Land Use"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","Administration Units","Land Use"],"licence":"Non-Open government licence","lineage":"EU member states are required to establish an IACS to ensure their portion of CAP funding is allotted correctly. All land parcels in receipt of subsidy must be mapped to within a tolerance of ±1.5 m for perimeter and ±5% or ±1 ha (whichever is the smaller) for area. Spatial surveys take place each year (usually around January) to account for chainging field boundaries due to e.g. changes of land ownership. The land use questionnaire itself is then usually completed during the subsequent May/June to coinicde with the Agricultural Census.\n\nThe Scottish IACS data distinguishes over 300 agricultural land classes based on information obtained directly from land managers. Each year, a small proportion of the farms submitting claims are audited to ensure the information provided is accurate. Note that the land use classes have changed slightly over time to reflect the changing nature of agricultural subsidies. This effect is particularly prominent in the data prior to 2009 and may present problems for the robust identification of land use trends.\n\nWhere fields contain multiple land uses, the area of each must be reported. Note, however, that the spatial distribution of land use within a field is not recorded - the smallest spatial data unit within IACS is the field. Database users should also be aware of the occasional presence of multiple claims for the same parcel of land, which may arise when several farm businesses share e.g. an area of common grazing.\n\n\n\n","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"organisation":["Rural Payments & Inspections Division (RPID)"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4a52b4a2-b36e-4e39-8650-b6c5b1fae691"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Scottish Integrated Administration and Control System (SIACS)","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"The EU Common Agricultural Policy (CAP) requires the Scottish Government to set up an Integrated Administration and Control System (IACS) to support schemes covered by the Single Application Form and other farm subsidy applications. The Single Application Form is a..."},{"publicationDate":"2014-05-09T00:00:00.000+00:00","catalogue":"cmp","description":"Dataset of 2160 effluent monitoring sites in Scotland monitored by SEPA for a variety of purposes. The dataset consists of site locations (on land or at sea) in British National Grid or Lat/Long WGS84, describing aspects of each site and the monitoring activity including: medium (10 including septic tank effluent, sewage effluent, and sewage and trade effluent by category); purpose of the monitoring (19 including WFD, Bathing Waters Profiling, OSPAR, Effluent screening, Urban Wastewater Treatment Directive); analytic function (6 including organic chemistry, inorganic chemistry, metals chemistry, microbiology), and approximate annual frequency of the monitoring.","documentType":"GEMINI_DOCUMENT","identifier":"816e5feb-ec8a-41d7-8717-65b1f0daaeea","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["River Flow and Networks","Water Quality","Water Use"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","River Flow and Networks","Water Quality","Water Use"],"licence":"Non-Open government licence","lineage":"Unknown","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"organisation":["Scottish Environmental Protection Agency"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/816e5feb-ec8a-41d7-8717-65b1f0daaeea"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"SEPA Effluent Monitoring Sites","version":1.0,"view":["public","mfry"],"shortenedDescription":"Dataset of 2160 effluent monitoring sites in Scotland monitored by SEPA for a variety of purposes. The dataset consists of site locations (on land or at sea) in British National Grid or Lat/Long WGS84, describing aspects of each site and the monitoring activity including:..."},{"publicationDate":"2016-02-18T00:00:00.000+00:00","catalogue":"cmp","description":"Yearly pollutant data for individual for the UK since 2004. The data has a spatial resolution of 5x5km. The pollutants include: total deposition of oxidised sulphur (non-seasalt), wet deposition of sulphate (non-seasalt), dry deposition of sulphur dioxide, total deposition of nitrogen, total deposition of reduced nitrogen, total deposition of oxidised nitrogen, dry deposition and total concentration of ammonia, wet deposition of ammonium, dry deposition of nitrogen dioxide, dry deposition and total concentration of nitric acid, wet deposition of nitrate, total deposition of base cations (Ca and Mg) and total deposition of acidity. \n\nNote that these are single year values and shouldn't be used to compare with critical loads; they are not vegetation-specific and are based on a grid-average of multiple land classes. ","documentType":"GEMINI_DOCUMENT","identifier":"d528866b-1797-495c-9fae-7b65bf25df6a","impDataType":["Tabular"],"impScale":["National"],"impTopic":["Air Quality"],"incomingCitationCount":0,"keyword":["National","Air Quality","Tabular"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648393 49.86382, -8.648393 60.86099, 1.767549 60.86099, 1.767549 49.86382, -8.648393 49.86382))"],"organisation":["Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d528866b-1797-495c-9fae-7b65bf25df6a"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Annual pollution deposition grids for the UK for multiple pollutants (2004-2014)","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Yearly pollutant data for individual for the UK since 2004. The data has a spatial resolution of 5x5km. The pollutants include: total deposition of oxidised sulphur (non-seasalt), wet deposition of sulphate (non-seasalt), dry deposition of sulphur dioxide, total deposition..."},{"catalogue":"cmp","description":"CEH Integrated Hydrological Digital Terrain Model (IHDTM) comprises five 50 m grids: elevation, surface type, outflow direction, inflow directions and cumulative catchment area. It covers the UK and the areas of the Republic of Ireland that drain into Northern Ireland. It has been derived, using CEH algorithms, from the following OS digital 1:50,000 map data: contours, heighted lake shores, high water line and selected hill-top spot heights (marketed as PANORAMA vectors by OS GB), together with CEH’s digital river network of Great Britain.","documentType":"GEMINI_DOCUMENT","identifier":"242384d6-ce65-4360-bf4e-3f6b4ed53034","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Catchments and Topography","River Flow and Networks"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","Catchments and Topography","River Flow and Networks"],"licence":"Non-Open government licence","lineage":"The principal stages in the production of IHDTM were: 1) Heighting the digital rivers by non-linear interpolation between their intersections with contours, lake shores and coastline. Due to positional inconsistencies between some rivers and contours, a small proportion of the rivers have not been heighted. 2) At every point on a 50 m square grid, interpolating between the heighted rivers and the above-listed OS datasets (treating the high water line as a 3 m contour) to obtain an elevation grid that is spatially consistent with the river network. The method used takes a weighted average of elevation estimates obtained from multiple transects which intersect at the point, with the weight for each estimate being based on the confidence in the interpolation. 3) A by-product from the elevation gridding algorithm is the surface type grid. The value at each point is the most significant hydrological type in the 50 m x 50 m square centred on the point, from – in increasing order of significance – land, river, lake and sea. Thus a grid point may lie on land, but be classified as sea or lake in order to ensure the continuity of narrow (sub grid interval) estuaries and lakes within their gridded representation. Rivers in this grid are sometimes missing because the method uses heighted rivers and, as noted in (1) above not all rivers have been heighted. For a more comprehensive grid representation of the rivers, the outflow grid should be used (see (4) below). 4) The outflow grid was derived by (a) representing the digital rivers as a continuous sequence of vectors on a 50m square grid; (b) in each lake, setting the directions at all the contained points so that they lead to the lake outlet; (c) setting the direction at all the other land points by reference to their elevation and the elevations of their eight near-neighbours; the algorithm used was designed to give a sequence of flow directions that follow the true plan direction of steepest slope and therefore did not set every individual point to flow to the neighbour that gave the steepest descent, as this would have led to sequences of points artificially following one of the eight cardinal directions; finally, where necessary, flow was directed uphill to provide continuity from local low points. 5) The inflow directions grid was derived from the outflow grid, and for each point it lists which of its eight near-neighbours flow towards it. The main purpose of this grid is to enable rapid derivation of catchment boundaries using a CEH algorithm. 6) The cumulative catchment area grid was derived from the outflow grid, by recording how many points there are at or upstream of each point ","locations":["POLYGON((-10 49, -10 59, 5 59, 5 49, -10 49))"],"organisation":["Natural Environment Research Council"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/242384d6-ce65-4360-bf4e-3f6b4ed53034"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"CEH Integrated Hydrological Digital Terrain Model [IHDTM]","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"CEH Integrated Hydrological Digital Terrain Model (IHDTM) comprises five 50 m grids: elevation, surface type, outflow direction, inflow directions and cumulative catchment area. It covers the UK and the areas of the Republic of Ireland that drain into Northern Ireland...."},{"catalogue":"cmp","description":"SWAT is the product of over 40 years of research and is subject to ongoing development. The model is designed to simulate the effects of changes in land management practices, land use and climate on surface water and groundwater quality and quantity, sediments, nutrients, and pesticide yields within catchments.","documentType":"IMP_DOCUMENT","identifier":"9bc5ab5c-bacf-426f-b49e-c6013e815a85","impCaMMPIssues":["Transferability","Management outcome","Confidence levels","Climate Change"],"impScale":["River reach","Farm","Catchment","catchment"],"impTopic":["Water quality","Soil","River flow and networks","Non-agricultural pollution","Climate scenarios"],"impWaterPollutant":["Sediment","Nitrogen","Metaldehyde"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Soil","Sediment","River reach","River flow and networks","Non-agricultural pollution","Nitrogen","Metaldehyde","Management outcome","Farm","Confidence levels","Climate scenarios","Climate Change","Catchment"],"recordType":"Model (UKCEH)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9bc5ab5c-bacf-426f-b49e-c6013e815a85"],"resourceType":"Model (UKCEH)","state":"published","title":"SWAT  (Soil and Water Assessment Tool)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"SWAT is the product of over 40 years of research and is subject to ongoing development. The model is designed to simulate the effects of changes in land management practices, land use and climate on surface water and groundwater quality and quantity, sediments, nutrients,..."},{"publicationDate":"2012-04-01T00:00:00.000+00:00","altTitle":["FF-HadRM3-PPE"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["C.","S.","D.","J.","G.","L.","H.","T."],"authorFamilyName":["Prudhomme","Dadson","Morris","Williamson","Goodsell","Crooks","Boolee","Davies","Buys","Lafon"],"authorFullName":["Prudhomme, C.","Dadson, S.","Morris, D.","Williamson, J.","Goodsell, G.","Crooks, S.","Boolee, L.","Davies, H.","Buys, G.","Lafon, T."],"authorOrcid":["https://orcid.org/0000-0003-1722-2497"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"cmp","description":"Future Flows Climate (FF-HadRM3-PPE) is an eleven-member ensemble climate projection for Great Britain at a 1-km resolution spanning from 1950 to 2098. It was specifically developed for hydrological application and contain daily time series of Available Precipitation, which is the precipiated water available to hydrological processes after delays due to snow and ice storage are accounted for; and monthly reference Potential Evapotranspiration calculated using the FAO56 method. Future Flows Climate is derived from the Hadley Centre's Regional climate projection ensemble HadRM3-PPE based on 11 different variants of the regional climate model run under the SRES A1B emission scenario. HadRM3-PPE is underpinning the UKCP09 products. Bias correction and spatial downscaling were applied to the total precpitation and air temperature variables before Future Flows Climate APr and PE were generated. The development of Future Flows Climate was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions.","documentType":"LINK_DOCUMENT","identifier":"1a6ed3fd-f161-4a3e-8ea4-ea7a045252cb","impDataType":["Geospatial / Map","Time Series"],"impScale":["National"],"impTopic":["Climate Scenarios"],"incomingCitationCount":6,"givenName":["C.","S.","D.","J.","G.","L.","H.","T."],"familyName":["Prudhomme","Dadson","Morris","Williamson","Goodsell","Crooks","Boolee","Davies","Buys","Lafon"],"fullName":["Prudhomme, C.","Dadson, S.","Morris, D.","Williamson, J.","Goodsell, G.","Crooks, S.","Boolee, L.","Davies, H.","Buys, G.","Lafon, T."],"keyword":["Geospatial / Map","Time Series","National","Climate Scenarios","Climate and climate change","Hydrology","climate","atmospheric precipitation","modelling","hydrology"],"keywordsTheme":["Climate and climate change","Hydrology"],"keywordsOther":["climate","atmospheric precipitation","modelling","hydrology"],"licence":"Non-Open government licence","lineage":"A modified version of the 11-member HadRM3-PPE ensemble projection assuming SRES-A1B emissions scenario developed for hydrological application in March 2012. It cover land areas of Great Britain at a 1-km resolution and contains 11 sets of 1951-2098 equally likely time series for two data types daily Available Precipitation (incorporating delays due to water storage as snow and ice) and monthly Potential Evapotranspiritation time series. Future Flows Climate used a monthly bias-correction and downscaling procedure based on the Gamma distribution (precipitation) and linear model (temperature). Potential Evapotranspiration is calculated using the FAO56 formulation with monthly bias-corrected downscaled temperature and HadRM3-PPE original time series for the other variables. As Future Flows Climate datasets are derived from climate model outputs they do not replicate the historical weather but are possible realisations of the climate. Despite the use of bias-correction and downscaling procedures Future Flows Climate might still contain some differences with observed climate and cannot be compared directly with gauged values. SC090016/PN2, SC090016/PN3 SC090016/PN5 project technical notes provide details on the methods used and results.","locations":["POLYGON((-10 50, -10 70, 5 70, 5 50, -10 50))"],"orcid":["https://orcid.org/0000-0003-1722-2497"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1328785794937","https://catalogue.ceh.ac.uk/id/bad1514f-119e-44a4-8e1e-442735bb9797","10.5285/bad1514f-119e-44a4-8e1e-442735bb9797"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Future flows climate data","topic":["0/Climate and climate change/","0/Hydrology/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Future Flows Climate (FF-HadRM3-PPE) is an eleven-member ensemble climate projection for Great Britain at a 1-km resolution spanning from 1950 to 2098. It was specifically developed for hydrological application and contain daily time series of Available Precipitation,..."},{"publicationDate":"2016-01-13T00:00:00.000+00:00","authorAffiliation":["The James Hutton Institute"],"catalogue":"cmp","description":"SSKIB (Scottish Soils Knowledge and Information Base) is a summary dataset comprising mean, median, maximum, minimum and standard deviations of a range of soil chemical and physical attributes for a typical (modal) soil profile for all soil series delineated on the 1:250,000 Scottish National Soil Map.\n\nThe dataset was developed over a number of years (from around 2004) for internal use and was released to the public to accompany the 1:250 000 scale National Soil map of Scotland on 1st April 2011. It is based on soil analytical data from soil profiles collected since 1934, with the bulk of the data collected from the late 1960s to late 1980s. \n\nThere is a related table with soil hydrological and physical properties (bulk density, moisture retention and hydraulic conductivity derived by pedotransfer function) which is not yet publically available, but which is potentially available to researchers. Please contact the data distributor for further details.","documentType":"GEMINI_DOCUMENT","identifier":"aed1f2f3-3e78-44e9-a671-f317e09dc2ea","impDataType":["Geospatial / Map","Tabular"],"impScale":["National"],"impTopic":["Soil"],"incomingCitationCount":0,"keyword":["Geospatial / Map","Tabular","National","Soil"],"licence":"Non-Open government licence","lineage":"Development of SSKIB began as a RESAS funded research programme around 2004 primarily for internal use with the then Macaulay Land Use Research Institute for broad scale modelling of changes in soil chemistry. Its use was extended to assess potential changes in soil C contents (ECOSSE model) and finally developed to deliver soils information via the web (http://sifss.hutton.ac.uk/) over PC, Android and IOS operating systems. It was released for general use in 2011 to provide soil chemical data to accompany the 1:250 000 scale soil map. ","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"organisation":["The James Hutton Institute"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/aed1f2f3-3e78-44e9-a671-f317e09dc2ea"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Scottish Soil Knowledge Information Base (SSKIB)","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"SSKIB (Scottish Soils Knowledge and Information Base) is a summary dataset comprising mean, median, maximum, minimum and standard deviations of a range of soil chemical and physical attributes for a typical (modal) soil profile for all soil series delineated on the..."},{"catalogue":"cmp","description":"Agricultural census data for England, Scotland and Wales is supplied to Eurostat by the respective government agencies. The annual data is summarised from their respective Agricultural Surveys at national level or NUTS 2 scale (England 44 areas; Wales 2 areas; Scotland 4 areas). Although the spatial resolution of the data is coarse, it is designed to enable comparisons between countries and regions. \n\nEurostat also contains a large number of other datasets (both agricultural and non-agricultural) at varying spatial scales that could be useful for modelling or analysis, particularly when comparing at regional or country scale. The agricultural data include agricultural yields and prices, farm structure, economic accounts and agri-environmental indicators. Some datasets begin from 1950s, although many are more recent.","documentType":"GEMINI_DOCUMENT","identifier":"d39fba6c-15fd-4250-924e-c280a3c1718e","impDataType":["Tabular"],"impScale":["Regional"],"impTopic":["Agricultural Practices"],"incomingCitationCount":0,"keyword":["Agri-environment","National","Regional","Agricultural Practices","Tabular"],"licence":"Non-Open government licence","lineage":"Annual census of agricultural and horticultural activities for England, Scotland and Wales is conducted on commercial holdings, defined as holdings of more than 5 ha agricultural land, 1 ha orchards, 0.5 ha vegetables or 0.1 ha of protected crops and ornamentals, or more than 10 cows, 50 pigs, 20 sheep, 20 goats or 1000 poultry. Note that these thresholds have only been in place since 2010. Each farmer declares the agricultural activity on the land via a postal questionnaire. Since the late 1990s the agricultural census in England and Wales has been conducted as a sample survey in which data is only sought from a proportion of holdings in each year, as low as 30% of commercial holdings in some years (approx. 30,000 holdings). Since 2007, cattle numbers have been taken from the Cattle Tracing Scheme. Data for non-surveyed farms are interpolated from the most recent data for those farms using the trends on comparable farms. \n","locations":["POLYGON((-8.648393 49.86382, -8.648393 60.86099, 1.767549 60.86099, 1.767549 49.86382, -8.648393 49.86382))"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d39fba6c-15fd-4250-924e-c280a3c1718e"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Agricultural Census for England, Wales and Scotland (Eurostat)","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Agricultural census data for England, Scotland and Wales is supplied to Eurostat by the respective government agencies. The annual data is summarised from their respective Agricultural Surveys at national level or NUTS 2 scale (England 44 areas; Wales 2 areas; Scotland..."},{"publicationDate":"2016-01-08T00:00:00.000+00:00","altTitle":["25K soils","Soils25K_v8d_Phase_3"],"catalogue":"cmp","description":"This digital dataset was created by the James Hutton Institute (previously Macaulay Institute for Soil Research) by digitising the Soils of Scotland 1:25,000 Soil maps and the Soils of Scotland 1:25,000 Dyeline Masters. The Soils of Scotland 1:25,000 Soil maps were the source documents for the production of the the Soils of Scotland 1:63,360 and 1:50,000 published map series. Where no 1:25,000 published maps exist 1:63,360 maps have been digitised for this data set, the field SOURCE_MAP describes the source of the data. \n\nThe classification is based on Soil Associations, Soil Series and Phases which reflect parent material, major soil group, and soil sub-groups, drainage and (for phases), texture, stoniness, land use, rockiness, topography and organic matter. Phases are not always mapped. In general terms this dataset covers the arable areas of Scotland. Not all of the available source documents have been digitised. Should there be a requirement for other areas to be captured, the Internal Contact should be contacted in the first instance.\n\nThe attributes on each map (coverage) are specific to that map sheet, but in general terms the following categories are mapped: soil association, soil series, parent material, soil complexes, soil phases, skeletal soils, alluvial soils, organic soils, miscellaneous soils, mixed bottom land, built-up area, quarries/disturbed ground, collieries/bings, golf courses.\n\nThis version of the data is Phase Three and it supercedes Phases One & Two; it was released on 4th March 2015. This includes all the data previously issued, however the data with an attribute value of \"3\" in the attribute ReleasePhse has been revised in this release. Revisions to the remaining parts of the data set will follow in subsequent phases.The attribute table for this Phase 3 revision incorporates new column names compared to previous releases of this data which fit within the naming protocol for soil attributes within Scotland’s National Soils Database and is progressing towards a seamless integration of datasets.The Phase 2 release contained new attributes describing soil parent materials, landforms and component soils within soil complexes. The landform descriptions only apply to soil complexes as this information was not systematically recorded for soil series. Names and codes for major soil subgroups (using the 2013 soil classification system) and soil series are listed for up to eight component soils within soil complexes. This release (Phase 3) also includes the full MSSG list for soil complexes. To ensure compatibility over all four phased releases of these datasets, the content of these new fields may be revised during the preparation of Phase 4 as new information emerges.This release includes changes to Strichen and Arkaig Associations, see Lineage, below.","documentType":"GEMINI_DOCUMENT","identifier":"1e0f29a6-6e58-4474-a558-8dfd88823bb3","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Soil","Geology"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","Soil","Geology"],"licence":"Non-Open government licence","lineage":"The 1:25 000 scale soil maps are based on data collected mainly between 1947 and 1987.  \n\nCollection methods: A source document was chosen. The order of preference was dyeline master, clean copy, compilation then working draft. The document was overlayed with a piece of matte plastic on which the details of the source were recorded, registration marks were drawn and three tablet reference points were indicated. An overlap on 1-2mm was drawn if there was no suitable line on the base map. The map was then compared with its neighbours and the detail drawn into the overlap area which avoided underlap problems later. A check was made of the coding across sheets. Problems with line placement or coding were noted on a query sheet. The soil lines were digitised following the centre of the line and continuing into the overlap area. Stream digitising was not used. Nodes were snapped where two or more lines met at a point. The line file was cloned to make the point file, to ensure that the geo-referencing was the same in both files and the lines were then deleted from the point file. Rubbersheeting points were digitised at every grid intersection on the base map, ie every 1km intersection. Rubbersheeting points were given the code of 1. Soil codes are shown on the 1:63,360 map as letters indicating soil association and soil series. These letter codes were translated back to the five digit numbers used in the Oracle table Soils of Scotland Soil Series Codes (4100001001). A single point was digitised within each polygon and the appropriate five digit code assigned to it. A plot was made, checked against the original and any discrepancies noted. Queries were noted on the query sheet and passed with the map to a soil surveyor to be resolved. Once all the edits had been completed a final plot was made and passed to another member of the digitising team, for a final check. Files were made which would be acceptable to ARC/Info. Coverages were generated, rubbersheeted, and the rubbersheeting points removed. Clipped with LCS88 coastline and lochs and finally edgematched to its neighbours.\n\nThis release includes previously unreleased data in the north and south-west of Scotland. I also includes modifications to Strichen and Arkaig Associations as follows: prior to the completion of the 1:250 000 scale national soil map, soils developed from schists were allocated to the Strichen Association, however, during the national scale mapping, this Association was divided into two based on the stratigraphic age of the Schist (Moine or Dalradian) giving rise to the Arkaig Association (Moine Schists). The extent of these two Associations followed the geological mapping and some soils previously allocated to the Strichen Association were reclassified as belonging to the Arkaig Association. Subsequent revisions of the geological map have relocated the boundary between the Moine and Dalradian Schist such that the soils reallocated to the Arkaig Association are in areas now mapped as Dalradian Schists by geologists. During the revisions of the 1:25 000 and 1:63 360 scale soil maps, it was decided to revert to the soil Association to which the soils in this area were allocated originally, thus the areas allocated to either the Strichen or Arkaig associations on the more detailed maps will differ from the national scale map. \n\nThis data set is undergoing a phased revision. This version of the data is Phase Three and was released on 4th March 2015. This data set includes all the data previously issued, however the data with an attribute value of \"3\" in the attribute ReleasePh has been revised in this release. Revisions to the remaining parts of the data set will follow in a subsequent phase.","locations":["POLYGON((-5.194924 54.898452, -5.194924 57.809867, -1.763517 57.809867, -1.763517 54.898452, -5.194924 54.898452))"],"organisation":["The James Hutton Institute"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e0f29a6-6e58-4474-a558-8dfd88823bb3"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"1:25,000 Soils of Scotland","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"This digital dataset was created by the James Hutton Institute (previously Macaulay Institute for Soil Research) by digitising the Soils of Scotland 1:25,000 Soil maps and the Soils of Scotland 1:25,000 Dyeline Masters. The Soils of Scotland 1:25,000 Soil maps were..."},{"publicationDate":"2014-05-09T00:00:00.000+00:00","catalogue":"cmp","description":"Dataset of 1755 Pollutant Release Inventory water release sites in Scotland [1]. The dataset consists of site locations in British National Grid or Lat/Long WGS84, describing aspects of each site such as industrial activity (as defined in the UK Standard Industrial Classification, UKSIC [2]), main polluting activity (as described in the Pollutant Release and Transfer Register, PRTR [3]) and summaries of the pollutant released for each year between 2009 and 2014 as urls to SEPA's Scottish Pollutant Release Inventory (SPRI) Website.\n\n[1] \"Scottish Pollutant Release Inventory\". https://www.sepa.org.uk/environment/environmental-data/spri/ Checked 2016-10-03\n[2] \"Business Data & Data Enhancing/Appending\". http://www.uksiccodes.com/ Checked 2016-10-03\n[3] European Union (2006). Regulation (EC) No 166/2006 of the European Parliament and of the Council of 18 January 2006 concerning the establishment of a European Pollutant Release and Transfer Register and amending Council Directives 91/689/EEC and 96/61/EC, Official Journal of the European Union, L 33, 4.2.2006","documentType":"GEMINI_DOCUMENT","identifier":"cdfea133-6347-4261-8e76-1ef248de4b06","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Non-agricultural Pollution","Site Specific Data","Water Quality"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","Non-agricultural Pollution","Site Specific Data","Water Quality"],"licence":"Non-Open government licence","lineage":"Unknown","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"organisation":["Scottish Environmental Protection Agency"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cdfea133-6347-4261-8e76-1ef248de4b06"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"SEPA Scottish Pollutant Release Inventory Water Release sites","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Dataset of 1755 Pollutant Release Inventory water release sites in Scotland [1]. The dataset consists of site locations in British National Grid or Lat/Long WGS84, describing aspects of each site such as industrial activity (as defined in the UK Standard Industrial..."},{"catalogue":"cmp","description":"INCA-N operates at a daily time step, tracking the stores and fluxes of water, nitrate and ammonium in both the land and in-stream phases of a river catchment. The model is spatially ‘semi-distributed’: the water course is split into reaches with associated sub-catchments. Two spatial set-ups are possible – the traditional set-up, in which there is a single main stem, or a ‘branched’ set-up. The latter allows in-stream processes, effluent inputs and residence times in tributaries to be simulated, and can be particularly useful in larger catchments or complex river networks. Each sub-catchment is split into landscape classes – there can be as many of these as desired or warranted by the data resolution or needs of the study. Landscape classes are “functional units” and within each unit N inputs, plant N uptake, soils and flow pathways should be similar, though for convenience classes are often based on land use and/or soil type. All land-based processes are calculated for a generic 1 km2 cell for each landscape class within each sub-catchment. Water, nitrate and ammonium outputs from the 1 km2 cell for each land class are multiplied by the land class area, and summed to provide total inputs from the sub-catchment to the reach. These inputs are assumed to enter the stream reach directly, rather than being routed spatially from one land class to another. Reach inputs are therefore from the land phase and from any upstream reaches.","documentType":"IMP_DOCUMENT","identifier":"imp-model-b88b-960d0c2b6b14","impCaMMPIssues":["Transferability","Pollution Source","Management outcome","Confidence levels","Climate Change"],"impDataType":["Time series"],"impScale":["River reach","Catchment","catchment"],"impTopic":["Water quality","River flow and networks","Non-agricultural pollution","Land use","Climate scenarios","Catchments and topography"],"impWaterPollutant":["Nitrogen"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Time series","River reach","River flow and networks","Pollution Source","Non-agricultural pollution","Nitrogen","Management outcome","Land use","Confidence levels","Climate scenarios","Climate Change","Catchments and topography","Catchment"],"recordType":"Model (UKCEH)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/imp-model-b88b-960d0c2b6b14"],"resourceType":"Model (UKCEH)","state":"published","title":"INCA-N (Integrated Catchments Model - Nitrogen dynamics)","version":1.0,"view":["public"],"shortenedDescription":"INCA-N operates at a daily time step, tracking the stores and fluxes of water, nitrate and ammonium in both the land and in-stream phases of a river catchment. The model is spatially ‘semi-distributed’: the water course is split into reaches with associated sub-catchments...."},{"publicationDate":"2007-12-10T00:00:00.000+00:00","altTitle":["NextMap Britain"],"authorAffiliation":["Intermap"],"catalogue":"cmp","description":"5 metre resolution digital elevation model of Great Britain, available as a height model of the bare Earth surface (digital terrain model, DTM) and a height model of natural terrain features (digital surface model). The horizontal accuracy is +/- 2.5m on slopes less than 20 degrees. The vertical accuracy is +/-1.0 m or greater.\n\nData are arranged into Ordnance Survey / British National Grid tiles of 10 x 10 km. ","documentType":"GEMINI_DOCUMENT","identifier":"803ea9a4-658c-431c-87e6-d0570c12beaa","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Catchments and Topography"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","Catchments and Topography"],"licence":"Non-Open government licence","lineage":"The data was generated from airborne interferometric synthetic aperture radar (INSAR).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["Intermap"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/803ea9a4-658c-431c-87e6-d0570c12beaa"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"NEXTMap Digital Terrain Model of Great Britain","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"5 metre resolution digital elevation model of Great Britain, available as a height model of the bare Earth surface (digital terrain model, DTM) and a height model of natural terrain features (digital surface model). The horizontal accuracy is +/- 2.5m on slopes less..."},{"publicationDate":"2014-05-09T00:00:00.000+00:00","catalogue":"cmp","description":"Dataset of 88 waste monitoring sites in Scotland measured by SEPA for a variety of purposes. The dataset consists of site locations in British National Grid or Lat/Long WGS84, describing aspects of each site and the monitoring activity including: medium (liquid waste, solid waste and mixed media waste); purpose of the monitoring (action plan, waste management licence, PPC permit and atmospheric input impact); and approximate annual frequency of the monitoring.\n\nMonitoring data itself can be requested from SEPA.","documentType":"GEMINI_DOCUMENT","identifier":"61d6d91d-9b23-4083-97a7-9d1277048762","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Non-agricultural Pollution"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","Non-agricultural Pollution"],"licence":"Non-Open government licence","lineage":"Unknown","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"organisation":["Scottish Environmental Protection Agency"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/61d6d91d-9b23-4083-97a7-9d1277048762"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"SEPA Waste Monitoring sites ","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Dataset of 88 waste monitoring sites in Scotland measured by SEPA for a variety of purposes. The dataset consists of site locations in British National Grid or Lat/Long WGS84, describing aspects of each site and the monitoring activity including: medium (liquid waste,..."},{"catalogue":"cmp","description":"more to come","documentType":"IMP_DOCUMENT","identifier":"ad5d449a-ffe5-4681-b3be-8336cb9ca6eb","impCaMMPIssues":["Transferability","Other Services","Management outcome","Confidence levels","Climate Change"],"impDataType":["Geospatial / Map"],"impScale":["Regional","National","Catchment"],"impTopic":["Water quality","Soil","River flow and networks","Land use","Land cover","Greenhouse gas fluxes","Biodiversity"],"impWaterPollutant":["Phosphorus","Nitrogen","Biological quality"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Soil","River flow and networks","Regional","Phosphorus","Other Services","Nitrogen","National","Management outcome","Land use","Land cover","Greenhouse gas fluxes","Geospatial / Map","Confidence levels","Climate Change","Catchment","Biological quality","Biodiversity"],"recordType":"Model (UKCEH)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ad5d449a-ffe5-4681-b3be-8336cb9ca6eb"],"resourceType":"Model (UKCEH)","state":"published","title":"DTT (Dynamic Typology Tool)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"more to come"},{"publicationDate":"1993-01-01T00:00:00.000+00:00","altTitle":["LCMGB (25m raster, GB)","Land Cover Map of Great Britain (25m raster, GB)"],"authorAffiliation":["Institute of Terrestrial Ecology"],"authorGivenName":["R.M.","G.B.","A.R.","A.G."],"authorFamilyName":["Fuller","Groom","Jones","Thomson"],"authorFullName":["Fuller, R.M.","Groom, G.B.","Jones, A.R.","Thomson, A.G."],"catalogue":"cmp","description":"This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - percentage of the polygon covered by the majority class. 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. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. \n\nLCM1990 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 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 LCM1990 Dataset documentation) to select the product most suited to their needs.\n","documentType":"LINK_DOCUMENT","identifier":"aa283882-d41c-48ca-a043-c1985ada0273","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Land Cover"],"incomingCitationCount":1,"givenName":["Dan","R.M.","G.B.","A.R.","A.G."],"familyName":["Morton","Fuller","Groom","Jones","Thomson"],"fullName":["Morton, D.","Fuller, R.M.","Groom, G.B.","Jones, A.R.","Thomson, A.G."],"keyword":["Geospatial / Map","National","Land Cover","Great Britain","England","Scotland","Wales","habitat","land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsOther":["habitat","land cover"],"licence":"Non-Open government licence","lineage":"The 25m raster product is the most detailed of the LCM1990 raster products, both thematically and spatially, and it is derived from the LCM1990 vector product. For LCM1990 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. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes; Band2 - mean per polygon probability as reported by the Random Forest classifier; Band 3 -percentage of polygon covered by the majority class","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["UK Centre for Ecology & Hydrology","Natural Environment Research Council","Institute of Terrestrial Ecology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1292507524532","https://catalogue.ceh.ac.uk/id/3d974cbe-743d-41da-a2e1-f28753f13d1e","10.5285/3d974cbe-743d-41da-a2e1-f28753f13d1e"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 1990 (25m raster, GB)","version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per..."},{"publicationDate":"2016-01-15T00:00:00.000+00:00","authorAffiliation":["The James Hutton Institute"],"authorGivenName":["Helen","S.","L.","Y.","R.","C.","M.I. ","M."],"authorFamilyName":["Watson","Langan","Johnston","Cook","Cooper","Taylor","Masson","Dunn","Stutter","Jackson-Blake","McKeen"],"authorFullName":["Watson, H.","Langan, S.","Johnston, L.","Cook, Y.","Cooper, R.","Taylor, C.","Masson, L.","Dunn, S.","Stutter, M.I.","Jackson-Blake, L.","McKeen, M."],"authorRor":["https://ror.org/03rzp5127"],"catalogue":"cmp","description":"Mean daily flow and water chemistry data collected from the Tarland Burn, recorded between 2000-2010. Water chemistry determinands measured include: total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), total phosphorous (TP), particulate phosphorus (PP), nitrate (NO3-N), ammonium (NH4-N) and suspended sediments (SS); water chemistry measurements are in units of mg l-1 for all determinands. Sampling for water chemistry took place at a weekly frequency between 2000 and the end of 2003, with some daily sampling during rainfall events. Daily samples were then collected between February 2004 and June 2005. After June 2005, infrequent irregular sampling took place, with fewer determinands. Mean daily flow, in m3s-1, was also recorded.\n\nThe Tarland Burn is a tributary of the River Dee (northeast Scotland). The samples were collected at Coull (WGS84 57.111, -2.810; OSGB 351050, 802540). ","documentType":"LINK_DOCUMENT","identifier":"23d98eb0-d0d9-420b-8ffc-6a88ee230428","impDataType":["Tabular"],"impScale":["Catchment","River Reach"],"impTopic":["River Flow and Networks","Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorus","Sediment"],"incomingCitationCount":0,"givenName":["Helen","Marc","S.","L.","Y.","R.","C.","M.I. ","M."],"familyName":["Watson","Stutter","Langan","Johnston","Cook","Cooper","Taylor","Masson","Dunn","Jackson-Blake","McKeen"],"fullName":["Watson, H.","Stutter, M.","Langan, S.","Johnston, L.","Cook, Y.","Cooper, R.","Taylor, C.","Masson, L.","Dunn, S.","Stutter, M.I.","Jackson-Blake, L.","McKeen, M."],"keyword":["Tabular","Catchment","River Reach","River Flow and Networks","Water Quality","Nitrogen","Phosphorus","Sediment","Coull","Pollution"],"keywordsPlace":["Coull"],"keywordsTheme":["Pollution"],"licence":"Non-Open government licence","lineage":"Water chemistry data: Sub-daily sampling took place during storms during 2004 and 2005, with 2 to 6 samples per day. Sub-daily data were converted to daily means. Samples were collected via a combination of grab sampling (pre 2004 and post 2005) and auto-sampler. Suspended sediment concentrations were determined gravimetrically on filter papers. Filtrates were analysed for total dissolved phosphorus (TDP), nitrate and ammonium. Unfiltered samples were manually digested by a persulphate autoclave procedure, then analysed as molybdate reactive P to give total P (TP). Particulate P (PP) was calculated as the difference between TP and TDP. Details of sampling protocol, autosampler set-up and analytical methods are given in [1] [2]\n\nDischarge data: Daily mean flow was derived from 15 minute discharge data, with a 'day' classed as 9am - 8:45am, for compatibility with Met Office rainfall data. The 15 minute discharge data was derived from stage information.\n\n[1] Stutter, M.I., Langan, S.J., Cooper, R.J., 2008. Spatial and temporal dynamics of stream water and particulate N, P and C forms along a catchment transect, NE Scotland. Journal of Hydrology 350 (3-4), 187-202. https://doi.org/10.1016/j.jhydrol.2007.10.048\n[2] Stutter, M.I., Langan, S.J., Cooper, R.J., 2008. Spatial contributions of diffuse inputs and within-channel processes to the form of streamwater phosphorus over storm events. Journal of Hydrology 350 (3-4), 203-214. https://doi.org/10.1016/j.jhydrol.2007.10.045","locations":["POLYGON((-2.812 57.11, -2.812 57.112, -2.808 57.112, -2.808 57.11, -2.812 57.11))"],"organisation":["The James Hutton Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f9a69fcb-321d-4f65-a8cf-cfe789224c8f","10.5285/f9a69fcb-321d-4f65-a8cf-cfe789224c8f"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Stutter, M. I., Langan, S. J., & Cooper, R. J. (2008). Spatial and temporal dynamics of stream water particulate and dissolved N, P and C forms along a catchment transect, NE Scotland. Journal of Hydrology, 350(3-4), 187-202","Stutter, M. I., Langan, S. J., & Cooper, R. J. (2008). Spatial contributions of diffuse inputs and within-channel processes to the form of stream water phosphorus over storm events. Journal of Hydrology, 350(34), 203-214"],"title":"Discharge and water chemistry measurements from Tarland Burn at Coull (Scotland) (2000-2010) ","topic":["0/Pollution/"],"version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Mean daily flow and water chemistry data collected from the Tarland Burn, recorded between 2000-2010. Water chemistry determinands measured include: total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), total phosphorous (TP), particulate phosphorus (PP),..."},{"publicationDate":"2016-08-01T00:00:00.000+00:00","altTitle":["Land Capability for Agriculture 1:250,000","LCA"],"catalogue":"cmp","description":"The Land Capability Classification for Agriculture has as its objective the presentation of detailed information on soil, climate and relief in a form which will be of value to land use planners, agricultural advisers, farmers and others involved in optimising the use of land resources. The classification ranks land on the basis of its potential productivity and cropping flexibility determined by the extent to which its physical characteristics (soil, climate and relief) impose long term restrictions on its agricultural use.\n\nTHE CLASSES\nClass 1. Land capable of producing a very wide range of crops with high yields\nClass 2. Land capable of producing a wide range of crops with yields less high than Class 1.\nClass 3. Land capable of producing good yields from a moderate range of crops.\nClass 4. Land capable of producing a narrow range of crops.\nClass 5. Land suited only to improved grassland and rough grazing.\nClass 6. Land capable only of use as rough grazing.\nClass 7. Land of very limited agricultural value.\n\nTHE DIVISIONS\nA division is a ranking within a class. As the requirements of the crops suited to Classes 1 and 2 are fairly stringent, land in these classes has inherently low degrees of internal variability and no divisions are present. \n\nThe requirements of crops grown in the remaining classes are less rigorous, consequently land included is more variable in character.\n\nThe dataset is at 1:250,000 scale.","documentType":"GEMINI_DOCUMENT","identifier":"24c6df5a-6b04-43f8-839f-0d45cc2802e3","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Soil","Agricultural Practices","Land Use"],"incomingCitationCount":0,"keyword":["Geospatial / Map","National","Soil","Agricultural Practices","Land Use"],"licence":"Non-Open government licence","lineage":"The classification of land for agricultural purposes in Scotland is, in the general sense, as old as farming itself but the first national surveys were the Land Utilisation Survey directed by Sir Dudley Stamp during the late thirties and the classification of arable land carried out by the staff of the Department of Agriculture and Fisheries for Scotland in the forties. Both, however, were based largely on observation of the land use then current. In the mid-sixties interpretations of soil survey maps, laying more stress on the properties of land and its potential for agriculture, were developed at the Macaulay Institute for Soil Research, Aberdeen. A standard system of Land Use Capability Classification, applied by the Soil Surveys of Scotland, and of England and Wales was published in 1969 (Bibby and Mackney).\n\nIn 1973 following a recommendation in the White Paper 'Land Resource Use in Scotland: The Government's Observations on the Report of the Select Committee on Scottish Affairs', a Standing Committee on Rural Land Use was established. One of the first subjects considered by the Committee was land use capability classification and the decision was reached that a published land classification was desirable and that a review should be carried out to establish the one most suitable to Scottish requirements. The Chief Agricultural Officer of the Department of Agriculture and Fisheries, Mr C. Mackay, was appointed chairman of a working party and in subsequent reports (1975 and 1977) it was concluded that the future direction of land classification and mapping in Scotland should be based on the system developed by the Macaulay Institute with some modifications and additions. The reports, which were accepted by the Standing Committee, encouraged continued co-operation with England and Wales through the Agricultural Development and Advisory Service Closed Conference of Advisory Soil Scientists Land Capability Classification Working Party. This had been established in 1974 and included representatives of the Department and Colleges of Agriculture in Scotland and the Macaulay Institute.\n\nFrom 1974 to 1981 the discussions of this committee were of the utmost value in developing the rationale and guidelines for land classification now presented. Under the able chairmanship of Mr B. Wilkinson, the following members contributed: J. S. Bibby, J. C. Clark, H. A. Douglas, P. E. Francis, G. Goodlass, D. Hewgill, F. M. B. Houston, A. D. Hughes, D. Mackney, M. J. Silverwood. R. B. Speirs, R. W. Swain, J. F. B. Tew, A. J. Thomasson and R. J. Unwin. Organisations represented included the Agricultural Science and Land and Water Services of the Ministry of Agriculture, the Department of Agriculture for Scotland, the Scottish Colleges of Agriculture, the Meteorological Office (Agrometeorological Branch) and the Soil Surveys of Scotland, and of England and Wales.\n\nThe scientific discussions held within the Working Party plus the field excursions in Scotland, England and Wales in order to study the practical application of the system in various land classification exercises contributed significantly to the system's development and final refined version.\n\nIn 1980 with progress on a 1:250 000 scale, soil and land capability programme well forward in Scotland, it became necessary to produce firm proposals to allow the work to proceed. The land classification for agriculture now presented owes much to the original United States Department of Agriculture Land Capability Classification (Klingebiel and Montgomery 1961), to the Land Use Capability Classification (Bibby and Mackney 1969) and to the Survey staff who have helped to improve that classification, to the various working parties and, finally, to individual discussions, contributions from Mr E. L. Birse of the Macaulay Institute being particularly helpful. The assistance of such a wide range of authorities and people is gratefully acknowledged. Nevertheless, the responsibility for errors, omissions and short-comings rest entirely with the authors.\n\nThe Land Capability Classification for Agriculture incorporates significant advances in methods of assessment and is the basis of the interpretative maps produced by the Soil Survey Department of the Macaulay Institute for Soil Research, Aberdeen.\n\nOwnership of this data set was passed to the James Hutton Institute on 1st April 2011.","locations":["POLYGON((-8.343553 54.548773, -8.343553 60.866019, -0.705118 60.866019, -0.705118 54.548773, -8.343553 54.548773))"],"organisation":["The James Hutton Institute"],"recordType":"Dataset","resourceIdentifier":["LCA_250k","https://catalogue.ceh.ac.uk/id/24c6df5a-6b04-43f8-839f-0d45cc2802e3"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Land Capability for Agriculture, 1:250,000, Scotland","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"The Land Capability Classification for Agriculture has as its objective the presentation of detailed information on soil, climate and relief in a form which will be of value to land use planners, agricultural advisers, farmers and others involved in optimising the use..."},{"publicationDate":"2002-01-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"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."],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"cmp","description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target (or 'sub') classes, 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). 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. Note that the Band numberings in the dataset run from 1-11 rather than 0-10 and therefore each band relates to the one below it in the sub class code list.","documentType":"LINK_DOCUMENT","identifier":"f81b151c-186f-4610-90da-d4ba017afe26","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Land Cover"],"incomingCitationCount":0,"givenName":["Dan","R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"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."],"keyword":["Geospatial / Map","National","Land Cover","Great Britain","Land cover","Habitats"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"keywordsOther":["Habitats"],"licence":"Non-Open government licence","lineage":"In a major development of the 1990 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 online supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"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"],"recordType":"Dataset","resourceIdentifier":["1287418863713","https://catalogue.ceh.ac.uk/id/f2f646d3-cc5a-4676-8194-34dbfa1c2874","10.5285/f2f646d3-cc5a-4676-8194-34dbfa1c2874"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"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."],"title":"Land Cover Map 2000 (1km percentage aggregate class, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations..."},{"publicationDate":"2013-07-01T00:00:00.000+00:00","authorAffiliation":["University of York","Centre for Ecology & Hydrology"],"authorGivenName":["D.","M.","C.J.","N.","I.","R."],"authorFamilyName":["Leach","Neal","Smith","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Leach, D.","Neal, M.","Smith, C.J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"catalogue":"cmp","description":"Discrete data for trace elements for both the dissolved and acid available fractions for thirteen core sites in the Humber catchment over the period 1993 to 1997 and for three sites from the Tweed catchment over the period 1994 to 1997. Part of the Land Ocean Interaction Study project (LOIS). Trace elements measured were: Aluminium (Al), Antimony (Sb), Arsenic (As), Barium (Ba), Beryllium (Be), Boron (B), Cadmium (Cd), Cerium (Ce), Chromium (Cr), Cobalt (Co), Copper (Cu), Gadolinium (Gd), Iron (Fe), Lanthanum (La), Lead (Pb), Lithium (Li), Manganese (Mn), Molybdenum (Mo), Neodymium (Nd), Nickel (Ni), Rubidium (Rb), Samarium (Sm), Scandium (Sc), Strontium (Sr), Tin (Sn), Uranium (U), Yttrium (Y), Zinc (Zn). The Core sites were sampled at regular weekly intervals and more intermittently during high flows (on average an extra sampling once a month per site). The Swale sites were sampled during hydrological events and the Aire sites were sampled both weekly and during hydrological events. The majority of samples were obtained using a wide neck grab sampler. Those samples collected from the Aire during hydrological events were obtained using EPIC automatic samplers. Both dissolved and acid available trace element fractions were determined for all samples. The dissolved fraction was measured by filtering samples and acidifying the filtrates with concentrated aristar grade nitric acid (1%vv) on the same day of sampling. The acid available fraction was determined by acidifying an unfiltered sample as above and agitating for 24 hours, at room temperature, prior to filtration. Samples were then analysed by inductively coupled plasma optical emission spectrometry (ICP-OES: B, Ba, Fe, Mn, Sr) and mass spectrometry (ICP-MS: Al, As, Be, Cd, Ce, Co, Cr, Cu, Gd, La, Li, Mo, Nd, Ni, Pb, Rb, Sb, Sc, Sm, Sn, U, Y, Zn).","documentType":"LINK_DOCUMENT","identifier":"6264d9aa-5d53-43fe-bf24-e0cf972ca04b","impDataType":["Tabular","Time Series"],"impScale":["Catchment"],"impTopic":["Water Quality"],"incomingCitationCount":0,"givenName":["D.","M.","C.J.","N.","I.","R."],"familyName":["Leach","Neal","Smith","Bachiller-Jareno","Tindall","Moore"],"fullName":["Leach, D.","Neal, M.","Smith, C.J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"keyword":["Tabular","Time Series","Catchment","Water Quality","Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","Water quality","Antimony","Barium","Beryllium","Cadmium","Cerium","Chromium","Gadolinium","Lanthanum","Lithium","Manganese","Molybdenum","Neodymium","Rubidium","Samarium","Scandium","Strontium","Yttrium","Land Ocean Interaction Study project","LOIS","water quality","aluminium","zinc","nickel","lead","iron","copper","cobalt","boron","arsenic","uranium","tin (element)"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"keywordsTheme":["Water quality"],"keywordsOther":["Antimony","Barium","Beryllium","Cadmium","Cerium","Chromium","Gadolinium","Lanthanum","Lithium","Manganese","Molybdenum","Neodymium","Rubidium","Samarium","Scandium","Strontium","Yttrium","Land Ocean Interaction Study project","LOIS","water quality","aluminium","zinc","nickel","lead","iron","copper","cobalt","boron","arsenic","uranium","tin (element)"],"licence":"Open government licence","lineage":"For the trace element determinations, quality control standards were included with the samples during analysis. These standards were checked weekly against international quality control references prepared by the United States Geological Survey National Water Quality Laboratory (SRM 1643c). The lowest quotable values were taken as five times the detection level and all variables were rounded to the nearest 0.1 ug/l apart from Aluminium, Beryllium, Boron, Copper, Iron, Lithium and Zinc which were rounded to the nearest 1 ug/l. A zip file of box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site, is available to enable prospective users to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"organisation":["UK Centre for Ecology & Hydrology","University of York","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1373029900000","https://catalogue.ceh.ac.uk/id/69f62656-567c-42dd-bb65-8f0cbbeb1693","10.5285/69f62656-567c-42dd-bb65-8f0cbbeb1693"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"state":"published","title":"Trace element data from rivers [LOIS]","topic":["0/Water quality/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Discrete data for trace elements for both the dissolved and acid available fractions for thirteen core sites in the Humber catchment over the period 1993 to 1997 and for three sites from the Tweed catchment over the period 1994 to 1997. 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