{"numFound":133,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational","nextPage":"http://catalogue.ceh.ac.uk/cmp/documents?page=2&facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational","results":[{"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":"2013-07-26T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["D.M.","C.","D.","A."],"authorFamilyName":["Cooper","Evans","Norris","Burden","Lawler"],"authorFullName":["Cooper, D.M.","Evans, C.","Norris, D.","Burden, A.","Lawler, A."],"authorOrcid":["https://orcid.org/0000-0001-7578-7918","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0002-7694-1638"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"cmp","description":"Surface water quality data for the Conwy catchment, North Wales are presented. The data cover stream and estuary survey locations sampled manually from 2007 to 2011 at varying intervals between fortnightly and quarterly. Survey locations were selected as draining the main landscape classes in the catchment, which include upland (>300m) and lowland (<300m) environments under trees, moorland or improved agriculture. Also included are a suite of locations on the major rivers, and in the estuary. The purpose of the data is to provide support for estimating loads and testing hypotheses relating to the relationship between subcatchment properties and water quality, and the relative importance of mixing and in-stream processes in influencing downstream water quality. Streams draining peat, with high dissolved organic carbon concentrations, are well represented. Upland drainage is generally acidic, and lowland circum-neutral. The lowland rivers are not heavily contaminated with nutrients, although they show evidence of some loss of nitrates in particular. There is little industry in the catchment beyond agriculture and tourism, though there is some legacy contamination from metal mines in a small part of the catchment. Measurements are provided for major cations and anions, pH, alkalinity, DOC, Al, Fe and conductivity for most samples, with values for a wide range of trace elements for a limited number of samples.","documentType":"LINK_DOCUMENT","identifier":"d94c5478-2588-4e52-bc29-308ea0b9808e","impDataType":["Tabular","Time Series"],"impScale":["Catchment"],"impTopic":["Water Quality"],"incomingCitationCount":2,"givenName":["D.M.","C.","D.","A.","David"],"familyName":["Cooper","Evans","Norris","Burden","Lawler"],"fullName":["Cooper, D.M.","Evans, C.","Norris, D.","Burden, A.","Lawler, A.","Cooper, D."],"keyword":["Tabular","Time Series","Catchment","Water Quality","Conwy Catchment","Wales","United Kingdom","Water quality","river","stream","lake","water quality","hydrochemistry"],"keywordsPlace":["Conwy Catchment","Wales","United Kingdom"],"keywordsTheme":["Water quality"],"keywordsOther":["river","stream","lake","water quality","hydrochemistry"],"licence":"Open government licence","lineage":"Water samples were collected at 67 sites within the Conwy catchment, N. Wales. Many of the sampling sites are headwaters; some are on major tributaries or the main Conwy river. Headwater sites were selected in a manner loosely stratified by 'landscape class' formed by combining dominant land use and soils classes. However, site locations were not randomised, but all readily accessible from roads. The purpose of data collection was to 1) To help identify statistical relationships between headwater stream chemistry and catchment characteristics and 2) To provide test data for modelling stream water chemistry at downstream sites. The PEARLS/CASCADE model has been used for this purpose. In recent years the focus has been on the carbon budget, and the data may be compared with data from other experimental and survey projects within the catchment. Many sites were originally selected for acid rain research and have earlier data not included in the database. These sites were part of a wider network covering North and Mid Wales. For some sites there are additional data from sampling by other bodies, such as the Environment Agency (EA). Other Conwy sites not recorded may also have EA or other data. Samples were filtered immediately after collection through a 0.45µm cellulose nitrate filter paper. In situ measurements of pH and conductivity were taken at the same time as water samples were collected. Samples were stored below 4°C before analysis in the UKAS accredited labs in CEH Lancaster. The results from 60 determinands are presented in the dataset, including the standard suite of base cations, anions and metals. Full details of site location, field and laboratory methodology is included in the supporting documents that accompany the dataset.","locations":["POLYGON((-4.031 52.944, -4.031 53.31, -3.592 53.31, -3.592 52.944, -4.031 52.944))"],"orcid":["https://orcid.org/0000-0001-7578-7918","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0002-7694-1638"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c53a1f93-f64c-4d84-82a7-44038a394c59","10.5285/c53a1f93-f64c-4d84-82a7-44038a394c59"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Conwy catchment - spatial water chemistry dataset","topic":["0/Water quality/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Surface water quality data for the Conwy catchment, North Wales are presented. The data cover stream and estuary survey locations sampled manually from 2007 to 2011 at varying intervals between fortnightly and quarterly. Survey locations were selected as draining the..."},{"publicationDate":"2015-11-05T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"catalogue":"cmp","description":"River water alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2003 and 2006. River water samples were collected fortnightly at twenty three sites within these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 deg C, Nitrate, pH, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. The samples were collected as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments.","documentType":"LINK_DOCUMENT","identifier":"67ea3b6f-7b59-4230-ae3e-f7ed5ced21db","impDataType":["Tabular","Time Series"],"impScale":["Catchment"],"impTopic":["Water Quality"],"impWaterPollutant":["Nitrogen","Phosphorus"],"incomingCitationCount":0,"givenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"familyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"fullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"keyword":["Tabular","Time Series","Catchment","Water Quality","Nitrogen","Phosphorus","Lowland Catchment Research Programme (LOCAR) ","The Lowland Catchment Research Programme","LOCAR","pH","ammonia","alkalinity","river water","chloride","conductivity","nutrient","nitrate","phosphorus","sulphate","silicate"],"keywordsProject":["Lowland Catchment Research Programme (LOCAR) "],"keywordsTheme":["The Lowland Catchment Research Programme","LOCAR"],"keywordsOther":["pH","ammonia","alkalinity","river water","chloride","conductivity","nutrient","nitrate","phosphorus","sulphate","silicate"],"licence":"Open government licence","lineage":"A single sample from the main flow of the river was collected by the Catchment Service Team in that catchment and used to fill a number of bottles supplied by Thames Water Laboratory. Samples for pH and alkalinity readings were poured in a glass bottle. Samples for Phosphorus soluble reactive were filtered in the field. Unfiltered samples were used for the rest of determinands. Samples were then sent to Thames Water for analysis. They used the Seal discrete analyser to determine values for Alkalinity pH 4.5, Ammonia, Chloride-ion, Nitrate, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. pH and Conductivity probes were used for those two determinands. A duplicate and a QC sample were sent each week to Thames Water to compare results obtained by the laboratories. The data were quality controlled by Thames Water. A zip file containing 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 of the data to understand data quality.","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1426780549603","https://catalogue.ceh.ac.uk/id/bb600a56-c9cf-4fca-b9be-be3de0039a79","10.5285/bb600a56-c9cf-4fca-b9be-be3de0039a79"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rivers (2003-2006) [LOCAR]","version":1.0,"view":["public","nuri"],"shortenedDescription":"River water alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2003 and 2006. River water samples were collected fortnightly at twenty three sites within these catchments and analysed..."},{"publicationDate":"2013-07-01T00:00:00.000+00:00","authorAffiliation":["University of York","Centre for Ecology & Hydrology"],"authorGivenName":["D.","A.","J.","N.","I.","R."],"authorFamilyName":["Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"catalogue":"cmp","description":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly intervals and intermittently during periods of high flows. All sites were samples from early 1994 to the end of 1996 except for O12, which was sampled from November 1994 till November 1996. The sampling was carried out by the LOIS team at York University. The unfiltered samples were transported to the Institute of Terrestrial Ecology, Monks Wood, UK, where they were extracted with hexane, cleaned up by alumina column chromatography, concentrated and then analysed for CBs by Gas Chromatography-Mass Spectrometry (GC-MS) and PCBs and OCs by Gas Chromatography with Electron Capture Detection (GC-ECD).","documentType":"LINK_DOCUMENT","identifier":"5460aa60-073f-452c-9b28-f5682b80eb27","impDataType":["Time Series"],"impScale":["Catchment"],"impTopic":["Water Quality"],"incomingCitationCount":0,"givenName":["Matt","D.","A.","J.","N.","I.","R."],"familyName":["Fry","Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore"],"fullName":["Fry, M.","Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"keyword":["Time Series","Catchment","Water Quality","Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"keywordsOther":["water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"licence":"Open government licence","lineage":"Prior to analysis the samples were stored in the dark at 4 degreesC. The sample (500ml) was transferred to a volumetric flask and extracted with 5 x 10ml aliquots of hexane. The hexane extract was transferred to a to a Kuderna-danish flask via a funnel containing anhydrous sodium sulphate and reduced to approx. 1.5ml at 80 degreesC. The extract was adjusted to exactly 1.0ml under a stream of nitrogen. The whole of the reduced extract was cleaned up on a glass column containing 0.8g of alumina deactivated with 5% water. The cleaned up extract was then reduced to 0.5ml under a stream of nitrogen. An internal standard was added (Dichlobenyl) and each extract split equally into two chromatography vials. Chlorobenzenes were analysed by GC-MS in select ion mode. Organochlorine pesticides and PCB congeners were analysed by GC-ECD. A spiked recovery and a sample blank were included with each batch of samples. The results were not corrected for recovery losses. Limits of detection were defined as the concentration of analyte that gives a signal twice that of the baseline noise. Blank sample bottles were taken into the field during sample collection and opened and closed on site. The blank bottles were extracted with 5 x 10ml of hexane and the hexane extracts analysed by the procedure used for the samples. Spiked recovery samples (hexane washed HPLC grade water, containing 0.5g of clean clay particles, spiked with all the analytes) were included in each batch. OCs and PCBs were identified by relative retention time. CBs were identified by relative retention time and ion ratios (3 ions). Calibration was by the internal standard method. A zip file of box-and-whisker plots for each determinand is available, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site 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":["1373030045461","https://catalogue.ceh.ac.uk/id/40ba6fd0-3d41-4520-8d78-cc8c893fd974","10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974"],"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":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from rivers [LOIS]","version":1.0,"view":["public","nuri"],"shortenedDescription":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly..."},{"publicationDate":"2015-02-17T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Environment Agency","University of Reading"],"authorGivenName":["M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"authorFamilyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"authorFullName":["Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"authorOrcid":["https://orcid.org/0000-0002-4984-1607"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"catalogue":"cmp","description":"This data set comprises of hourly physical and nutrient monitoring data of the River Enborne near Brimpton (National grid reference SU568648), from November 2009 to February 2012. Parameters measured are total reactive phosphorus, nitrate, conductivity, temperature, dissolved oxygen, pH and total chlorophyll. The accompanying hourly averaged flow data (from the EA flow gauging station at the same site) are also supplied. The monitoring programme was funded by the EPSRC, through the LIMPIDS project. ","documentType":"LINK_DOCUMENT","identifier":"37b4c75a-bb5b-467d-9919-7ecdc5cc025a","impDataType":["Time Series"],"impScale":["Catchment"],"impWaterPollutant":["Nitrogen","Phosphorus"],"incomingCitationCount":2,"givenName":["Mike","M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"familyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"fullName":["Bowes, M.","Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"keyword":["Time Series","Catchment","Nitrogen","Phosphorus","United Kingdom","England","Berkshire","Hourly"],"keywordsPlace":["United Kingdom","England","Berkshire"],"keywordsOther":["Hourly"],"licence":"Non-Open government licence","lineage":"The hourly nutrient data was produced by the Centre for Ecology & Hydrology (CEH) fieldwork staff at Wallingford. Phosphorus data was produced in the field using a Systea Micromac C auto-analyser. Nitrate was monitored by UV absorption using a Hach Lange Nitratax Plus probe. The other physical parameters and total chlorophyll were monitored using a YSI 6600 sonde. The monitoring site installation, telemetry / data collection and maintenance / calibration of the YSI probe was conducted by the Environment Agency's National Water Quality Instrumentation Service. Data processing was carried out by CEH and the University of Reading. Full details of the field procedures and laboratory groundtruthing samples are outlined in the following papers. \n\n(1) Bowes MJ, Jarvie HP, Halliday SJ, Skeffington RA, Wade AJ, Loewenthal M et al (2015). Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships. Sci Total Environ 511: 608-620\n(2) Halliday S, Skeffington R, Bowes M, Gozzard E, Newman J, Loewenthal M et al (2014). The Water Quality of the River Enborne, UK: Observations from High-Frequency Monitoring in a Rural, Lowland River System. Water 6: 150-180.\n(3) Wade AJ, Palmer-Felgate EJ, Halliday SJ, Skeffington RA, Loewenthal M, Jarvie HP et al (2012). Hydrochemical processes in lowland rivers: insights from in situ, high-resolution monitoring. Hydrol Earth Syst Sci 16: 4323-4342.","locations":["POLYGON((-1.186 51.378, -1.186 51.38, -1.184 51.38, -1.184 51.378, -1.186 51.378))"],"orcid":["https://orcid.org/0000-0002-4984-1607"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Environment Agency","University of Reading","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1431339142556","https://catalogue.ceh.ac.uk/id/11d712e0-7456-4ea9-8af8-fe81a666e91b","10.5285/11d712e0-7456-4ea9-8af8-fe81a666e91b"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bowes M.J., Jarvie H.P., Halliday S.J., Skeffington R.A., Wade A.J., Loewenthal M. et al. (2015). Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships. Sci Total Environ 511: 608-620","Halliday, S., Skeffington, R., Bowes, M., Gozzard, E., Newman, J., Loewenthal, M., … Wade, A. (2014). The Water Quality of the River Enborne, UK: Observations from High-Frequency Monitoring in a Rural, Lowland River System. Water, 6(1), 150–180","Wade A.J., Palmer-Felgate E.J., Halliday SJ, Skeffington R.A., Loewenthal M., Jarvie H.P. et al. (2012). Hydrochemical processes in lowland rivers: insights from in situ, high-resolution monitoring. Hydrol Earth Syst Sci 16: 4323-4342. "],"title":"Hourly physical and nutrient monitoring data for the River Enborne, Berkshire (2009-2012)","version":1.0,"view":["public","nuri"],"shortenedDescription":"This data set comprises of hourly physical and nutrient monitoring data of the River Enborne near Brimpton (National grid reference SU568648), from November 2009 to February 2012. Parameters measured are total reactive phosphorus, nitrate, conductivity, temperature,..."},{"publicationDate":"1993-01-01T00:00:00.000+00:00","altTitle":["Land Cover Map of Great Britain (1km percentage target class, GB)","LCMGB (1km percentage target class, 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":"The Land Cover Map of Great Britain 1990 (1km percentage target class, GB), is a raster digital dataset, providing a classification of land cover types into 25 classes, at a 1km resolution. The dataset consists of a set of 1km bands, each containing one of 25 target classes (or 'sub' classes). Each band of the dataset contains the percentage of the specified habitat class per 1km, derived from a higher resolution (25m) dataset. The map was produced using supervised maximum likelihood classifications of Landsat 5 Thematic Mapper satellite data. The 25 mapped classes include sea and inland waters, bare, suburban and urban areas, arable farmland, pastures and meadows, rough grass, grass heaths and moors, bracken, dwarf shrub heaths and moorland, scrub, deciduous and evergreen woodland, and upland and lowland bogs. It can potentially be used to plan, manage or monitor agriculture, ecology, conservation, forestry, environmental assessment, water supplies, urban spread, transport, telecommunications, recreation and mineral extraction. The map was produced in the early 1990s by a forerunner of the Centre for Ecology & Hydrology, the Institute of Terrestrial Ecology, at Monks Wood. Note: The bands in the dataset run from 1-26, not 0-25 as stated in the documentation. Hence '1' is unclassifed (not '0'), '2' is sea/estuary and so on.","documentType":"LINK_DOCUMENT","identifier":"b945c9c8-fe16-42c0-8e7f-6e32b81eb095","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Land Cover"],"incomingCitationCount":1,"givenName":["Daniel","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","Land cover","land cover","habitat"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Land cover"],"keywordsOther":["land cover","habitat"],"licence":"Non-Open government licence","lineage":"The Land Cover Map of Great Britain (LCMGB) was produced (at the Institute of Terrestrial Ecology (ITE) Monks Wood) using supervised maximum likelihood classifications of Landsat Thematic Mapper satellite data. See online supporting information for further details.","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","NERC Environmental Information Data Centre","Institute of Terrestrial Ecology ","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1287411764047","https://catalogue.ceh.ac.uk/id/0172cc8c-8b5c-46cf-b08a-785ab832e88c","10.5285/0172cc8c-8b5c-46cf-b08a-785ab832e88c"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Fuller, R. M.; Groom, G. B.; Jones, A. R.. 1994 The Land Cover Map of Great Britain: an automated classification of Landsat Thematic Mapper data. Photogrammetric Engineering and Remote Sensing, 60 (5). 553-562."],"title":"Land Cover Map 1990 (1km percentage target class, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"The Land Cover Map of Great Britain 1990 (1km percentage target class, GB), is a raster digital dataset, providing a classification of land cover types into 25 classes, at a 1km resolution. The dataset consists of a set of 1km bands, each containing one of 25 target..."},{"publicationDate":"2017-02-07T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["E.L.","E.","D.B.","J.","A.C."],"authorFamilyName":["Robinson","Blyth","Clark","Comyn-Platt","Finch","Rudd"],"authorFullName":["Robinson, E.L.","Blyth, E.","Clark, D.B.","Comyn-Platt, E.","Finch, J.","Rudd, A.C."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5052-238X","https://orcid.org/0000-0003-1348-7922","https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0001-5996-6115"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"cmp","description":"1km resolution gridded meteorological variables over Great Britain for the years 1961-2015. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and air pressure (Pa), plus daily temperature range (K). These are the variables required to run the JULES land surface model [1] with daily disaggregation.\n\nThe precipitation data were obtained by scaling the Gridded estimates of daily and monthly areal rainfall (CEH-GEAR) daily rainfall estimates [2,3] to the units required for JULES input. Other variables were interpolated from coarser resolution datasets, taking into account topographic information.\n\nThis release supersedes the previous version [4], doi:10.5285/10874370-bc58-4d23-a118-ea07df8a07f2, as it corrects errors in the air pressure and daily temperature range files for 2013-2015.\n\n[1] Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes, Geoscientific Model Development, 4, 677-699. https://doi.org/10.5194/gmd-4-677-2011, 2011.\n[2] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2016). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca\n[3] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112. https://doi.org/10.5194/essdd-8-83-2015. \n[4] Robinson, E.L., Blyth, E., Clark, D.B., Comyn-Platt, E., Finch, J. , Rudd, A.C. (2016). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met]. NERC Environmental Information Data Centre. https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2 ","documentType":"LINK_DOCUMENT","identifier":"282cf28d-322a-4af0-ab55-4ca2590a9c86","impDataType":["Geospatial / Map","Time Series"],"impScale":["National"],"impTopic":["Climate Scenarios"],"incomingCitationCount":23,"givenName":["Emma","E.L.","E.","D.B.","J.","A.C."],"familyName":["Robinson","Blyth","Clark","Comyn-Platt","Finch","Rudd"],"fullName":["Robinson, E.","Robinson, E.L.","Blyth, E.","Clark, D.B.","Comyn-Platt, E.","Finch, J.","Rudd, A.C."],"keyword":["Geospatial / Map","Time Series","National","Climate Scenarios","Great Britain ","Climate and climate change","Modelling","gridded data","rainfall","specific humidity","wind speed","longwave radiation","shortwave radiation","air pressure","atmospheric precipitation","wind","atmospheric humidity","air temperature","rain"],"keywordsPlace":["Great Britain "],"keywordsTheme":["Climate and climate change","Modelling"],"keywordsOther":["gridded data","rainfall","specific humidity","wind speed","longwave radiation","shortwave radiation","air pressure","atmospheric precipitation","wind","atmospheric humidity","air temperature","rain"],"licence":"Non-Open government licence","lineage":"The precipitation was obtained by scaling the daily rainfall estimates from the CEH-Gridded Estimates of Areal Rainfall (CEH-GEAR) dataset [1,2] to units of kg m-2 s-1. The Met Office Rainfall Evaporation Calculation System (MORECS) [3,4] air temperature and vapour pressure, and hours of bright sunshine were interpolated to 1km resolution, then corrected for the local topography using the Integrated Hydrological Digital Terrain Model (IHDTM) [5] to find the CHESS-met air temperature (K), specific humidity (kg kg-1) and downward long- and shortwave radiation (W m-2). The wind speed (m s-1) was found by interpolating the MORECS wind speed, then correcting for topography using the UK Energy Technology Support Unit (ETSU) average wind speed dataset [6,7]. The daily temperature range (K) was reprojected from the CRU TS 3.21 (1961-2012) and CRU TS 3.24 (2013-2015) monthly data [8,9]. The air pressure (Pa) was found by calculating a climatology of the WATCH Forcing Data (WFD) air pressure [10], then correcting for topography using the IHDTM. The data were created using software developed in Fortran 95 and python.\n\nThis version of the CHESS-met dataset corrects errors in the previous version [11], which were:\n    a) surface air pressure files for 2013-2015 had incorrect time coordinate variable\n    b) daily temperature range values for 2013-2015 were erroneous due to a binary conversion error\n\nThese errors have been corrected in this release. All other files remain unchanged.\n\n[1] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2016). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca\n[2] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112. https://doi.org/10.5194/essdd-8-83-2015. \n[3] Thompson, N., Barrie, I. A., and Ayles, M.: The Meteorological Office rainfall and evaporation calculation system: MORECS, Meteorological Office, Bracknell, 1981.\n[4] Hough, M. N., and Jones, R. J. A.: The United Kingdom Meteorological Office rainfall and evaporation calculation system: MORECS version 2.0-an overview, Hydrology and Earth System Sciences, 1, 227-239, 10.5194/hess-1-227-1997, 1997.\n[5] Morris, D. G., and Flavin, R. W.: A digital terrain model for hydrology., Proceedings of the 4th International Symposium on Spatial Data Handling, 1, 250-262, 1990.\n[6] Newton, K., and Burch, S. F.: Estimation of the UK wind energy resource using computer modelling techniques and map data, Energy Technology Support Unit, 50, 1985.\n[7] Burch, S. F., and Ravenscroft, F.: Computer modelling of the UK wind energy resource: Final overview report., AEA Industrial Technology, 1992.\n[8] CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2012). 2013.\n[9] Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset, International Journal of Climatology, 34, 623-642, https://doi.org/10.1002/Joc.3711, 2014.\n[10] Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E., Osterle, H., Adam, J. C., Bellouin, N., Boucher, O., and Best, M.: Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century, Journal of Hydrometeorology, 12, 823-848, https://doi.org/10.1175/2011jhm1369.1, 2011.\n[11] Robinson, E.L., Blyth, E., Clark, D.B., Comyn-Platt, E., Finch, J. , Rudd, A.C. (2016). Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met]. NERC Environmental Information Data Centre. https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2 ","locations":["POLYGON((-9.014 49.767, -9.014 59.21, 1.56 59.21, 1.56 49.767, -9.014 49.767))"],"orcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5052-238X","https://orcid.org/0000-0003-1348-7922","https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0001-5996-6115"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b745e7b1-626c-4ccc-ac27-56582e77b900","10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland from 1890 to 2015, used for the CHESS-met precipitation variable. "],"supplementalName":["Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]"],"title":"Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015) [CHESS-met] v1.2","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"1km resolution gridded meteorological variables over Great Britain for the years 1961-2015. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), wind speed (m s-1), downward longwave radiation (W m-2), downward..."},{"altTitle":["FOREGS Geochemical Atlas of Europe"],"authorAffiliation":["EuroGeoSurveys"],"catalogue":"cmp","description":"Environmental geochemical baseline data for Europe. The data include the concentration of over 60 determinands in a range of sampling media.\n\nDeterminands include: Ag, Al/Al2O3, As, B, Ba, Be, Bi, Ca/CaO, Cd, Ce, Co, Cr, Cs, Cu, Dy, Er, Eu, Fe/Fe2O3, Ga, Gd, Ge, Hf, Hg, Ho, I, In, Li, Lu, Mg/MgO, Mn/MnO, Mo, Na/Na2O, Nb, Nd, Ni, P2O5, Pb, pH, Pr, Rb, S, Sb, Sc, Se, SiO2, Sm, Sn, Sr, Ta, Tb, Te, Th, Ti/TiO2, Tl, Tm, U, V, W, Y, Yb, Zn, Zr, EC, HCO-3, Br-, Cl-, F-, NO-3, SO4-2, DOC, TOC.\n\nSampling media include: stream water; stream, overbank and floodplain sediment , residual soil and humus.\n\nA summary of all elements and other determinands in the Atlas for each sample media, including the method and laboratory responsible for analysis and the limits of detection is included in Table 3 of the analytical manual (Sandström, H. et al. Sample Preparation and Analysis. in: http://weppi.gtk.fi/publ/foregsatlas/article.php?id=3). ","documentType":"GEMINI_DOCUMENT","identifier":"7e78d4bb-4481-405a-a7fa-f85d655b9bb3","impDataType":["Geospatial / Map","Tabular"],"impScale":["National"],"impTopic":["Soil","Geology"],"incomingCitationCount":0,"keyword":["National","Geospatial / Map","Tabular","Soil","Geology"],"licence":"Non-Open government licence","lineage":"The Geological Survey of Finland (GTK) coordinated the sampling (Salminen, R. et al. Sampling in: http://weppi.gtk.fi/publ/foregsatlas/article.php?id=10). The analysis was carried out in nine laboratories from participating Geological Surveys. In order to ensure the homogeneity of the data and to avoid any bias between laboratories or analytical methods, each laboratory was nominated to take responsibility for carrying out analysis by a particular analytical technique or techniques on all samples of a certain type. Analytical work was carried out from 1999 to 2003. All applied methods are described in detail in the analytical manual (Sandström, H. et al. Sample Preparation and Analysis. in: http://weppi.gtk.fi/publ/foregsatlas/article.php?id=3). Chemical analysis of the samples was completed in 2004, and data subsequently collated and examined for error by the Geological Survey of Finland.","locations":["POLYGON((-26.482 35.491, -26.482 71.143, 44.006 71.143, 44.006 35.491, -26.482 35.491))"],"organisation":["EuroGeoSurveys","International Union of Geological Sciences/International Association of Geochemistry Global Geochemical Baselines","Geological Survey of Finland"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7e78d4bb-4481-405a-a7fa-f85d655b9bb3"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"FOREGS-EuroGeoSurveys Geochemical Baseline Data and Maps","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Environmental geochemical baseline data for Europe. The data include the concentration of over 60 determinands in a range of sampling media.\n\nDeterminands include: Ag, Al/Al2O3, As, B, Ba, Be, Bi, Ca/CaO, Cd, Ce, Co, Cr, Cs, Cu, Dy, Er, Eu, Fe/Fe2O3, Ga, Gd, Ge, Hf,..."},{"catalogue":"cmp","description":"INCA-P operates at a daily time step, tracking the stores and fluxes of water, sediment, dissolved and particulate P 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 P inputs, plant P 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, sediment, total dissolved P (TDP) and particulate P (PP) 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":"dc139812-d332-44fb-8fc4-f9943652d1ef","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":["Sediment","Phosphorus"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Time series","Sediment","River reach","River flow and networks","Pollution Source","Phosphorus","Non-agricultural pollution","Management outcome","Land use","Confidence levels","Climate scenarios","Climate Change","Catchments and topography","Catchment"],"recordType":"Model (UKCEH)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dc139812-d332-44fb-8fc4-f9943652d1ef"],"resourceType":"Model (UKCEH)","state":"published","title":"INCA-P  (Integrated Catchments Model - Phosphorus dynamics)","version":1.0,"view":["public","jaccos"],"shortenedDescription":"INCA-P operates at a daily time step, tracking the stores and fluxes of water, sediment, dissolved and particulate P 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..."},{"publicationDate":"2013-07-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["C.L.","J.C.","N.","I.","R."],"authorFamilyName":["Bhardwaj","Dodd","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Bhardwaj, C.L.","Dodd, J.C.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"cmp","description":"Micro-organic herbicide levels in river water for various sites within the Humber and Tweed catchments collected as part of the Land Ocean Interaction Study project (LOIS). The dataset contains data for Phenyl urea and Phenoxy acid herbicides, measured as 2,4-Dichlorophenoxyacetic acid, 4-(4-Chloro-O-tolyloxy) butyric acid, 4-Chloro-O-tolyloxyacetic acid, Chlorotoluron dissolved, Diuron dissolved, Isoproturon dissolved, Linuron dissolved, Mecoprop dissolved. Phenyl urea herbicide data is available for twelve sites in the Humber catchment within 1994 to 1995 and 1994 to 1997 and for three sites on the Tweed catchment within 1995. Phenoxy acid herbicide data is available for six sites (S1, U3, N4, W5 and O6) over the period December 1994 to September 1995, for 7 sites (S2, D7, A8, C9, D10, T11 and O12) over the period December 1994 to February 1997 and 3 sites (TW13, TW14 and TW15) over the period January 1995 to September 1995. Attempts were made to sample the sites at weekly intervals. However sampling was halted for short periods when it was not possible to process the samples quickly. Linuron dissolved was only measured from April 1994 - October 1994. Samples were collected in chromic acid-washed 1 litre glass bottles. Herbicide levels were concentrated before being measured using High Performance Liquid Chromatography for Phenyl urea herbicides and Gas Chromatography for Phenoxy acid herbicides. Until November 1994, analysis was completed by the York University and the Institute for Freshwater Ecology, Wareham, laboratories. From December 1994 onwards the samples were dispatched to the Institute for Hydrology, Wallingford, for extraction and analyses.","documentType":"LINK_DOCUMENT","identifier":"d13b18ea-6930-4b0e-83e4-4939ee74dcd2","impDataType":["Tabular","Time Series"],"impScale":["Catchment"],"impTopic":["Agricultural Practices","Water Quality"],"incomingCitationCount":0,"givenName":["C.L.","J.C.","N.","I.","R."],"familyName":["Bhardwaj","Dodd","Bachiller-Jareno","Tindall","Moore"],"fullName":["Bhardwaj, C.L.","Dodd, J.C.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"keyword":["Tabular","Time Series","Catchment","Agricultural Practices","Water Quality","Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","Phenyl urea","Phenoxy acid","2-4-Dichlorophenoxyacetic acid","4-(4-Chloro-O-tolyloxy) butyric acid","4-Chloro-O-tolyloxyacetic acid","Chlorotoluron","Diuron","Isoproturon","Linuron","Mecoprop","Land Ocean Interaction Study","LOIS","water quality","herbicide","Water quality"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"keywordsOther":["Phenyl urea","Phenoxy acid","2-4-Dichlorophenoxyacetic acid","4-(4-Chloro-O-tolyloxy) butyric acid","4-Chloro-O-tolyloxyacetic acid","Chlorotoluron","Diuron","Isoproturon","Linuron","Mecoprop","Land Ocean Interaction Study","LOIS","water quality","herbicide","Water quality"],"licence":"Open government licence","lineage":"Phenyl urea herbicides were concentrated by using one of the following methods: solid phase extraction (SPE) using C18 (1gm, 6ml) (EC) (ISOLUTE) cartridges and eluting with ethyl acetate; as previous method except that the dried cartridge after loading was washed with 6ml of methanol: water:: 1:1 (to remove the impurities) before eluting the herbicides with methanol; liquid-liquid extraction with dichloromethane. Phenoxy acid herbicides were concentrated using liquid-liquid extraction with dichloromethane. Phenyl urea herbicides were measured by High Performance Liquid Chromatography (HPLC) with detection by a UV/VIS detector and phenoxy acid herbicides by Gas Chromatography (GC) with detection by a mass selective detector (GS-MS). One sample from each batch was randomly spiked with a mixed standard of urea and acid herbicides for comparison purposes. For all determinands certified grade standards of purity >99% were used. The laboratory at Wallingford takes part in WRC's AQUACHECK inter-laboratory harmonisation exercise for urea and acid herbicides. Data quality for both groups of herbicides is variable because of the nature of samples (Aire, Calder, Don and Trent were found to be highly polluted resulting in complex chromatograms), the level of herbicides present (mostly they are close to the detection limit) and difficulties in extraction especially in liquid-liquid extraction where they formed emulsions. A zip file of box-and-whisker plots are available for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site 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","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1373029956118","https://catalogue.ceh.ac.uk/id/e28ffc01-880d-423f-acb6-879b9fd4603a","10.5285/e28ffc01-880d-423f-acb6-879b9fd4603a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["British Oceanographic Data Centre's webpages for information on and data from the coastal and marine aspects of the LOIS project."],"supplementalName":["BODC LOIS web pages (coastal and marine)"],"title":"Micro-organic herbicides data from rivers [LOIS]","version":1.0,"view":["public","nuri"],"shortenedDescription":"Micro-organic herbicide levels in river water for various sites within the Humber and Tweed catchments collected as part of the Land Ocean Interaction Study project (LOIS). The dataset contains data for Phenyl urea and Phenoxy acid herbicides, measured as 2,4-Dichlorophenoxyacetic..."},{"catalogue":"cmp","description":"SAGIS was developed for UKWIR, with support from the Environment Agency, SEPA and Natural England, to analyse sources of chemicals at the river basin scale and identify measures to improve river, lake and estuary water quality. National data on the source of chemicals from a range of point and diffuse sectors are processed to create inputs to the water quality model SIMCAT, and the outputs used to create databases and visualisations of predicted apportioned water quality.","documentType":"IMP_DOCUMENT","identifier":"57c40da0-2dc7-43a1-8291-f9ae2fd0a18d","impCaMMPIssues":["Transferability","Pollution Source","Confidence levels"],"impScale":["River reach","Regional","National","Catchment","national"],"impTopic":["Water quality","Non-agricultural pollution","Land use"],"impWaterPollutant":["Sediment","Phosphorus","Nitrogen"],"incomingCitationCount":0,"keyword":["Water quality","Transferability","Sediment","River reach","Regional","Pollution Source","Phosphorus","Non-agricultural pollution","Nitrogen","National","Land use","Confidence levels","Catchment"],"recordType":"Model (UKCEH)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57c40da0-2dc7-43a1-8291-f9ae2fd0a18d"],"resourceType":"Model (UKCEH)","state":"published","title":"SAGIS (Source Apportionment GIS)","version":1.0,"view":["public"],"shortenedDescription":"SAGIS was developed for UKWIR, with support from the Environment Agency, SEPA and Natural England, to analyse sources of chemicals at the river basin scale and identify measures to improve river, lake and estuary water quality. National data on the source of chemicals..."},{"publicationDate":"2014-07-23T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"cmp","description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target 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 LCM2007. LCM2007 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 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 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. LCM2007 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 LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"LINK_DOCUMENT","identifier":"d63aaebb-99c2-4ad0-96b0-fa4836ad4d50","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Land Cover"],"incomingCitationCount":0,"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"keyword":["Geospatial / Map","National","Land Cover","Great Britain","England","Scotland","Wales","Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsOther":["Monitoring & Observing Systems","Land cover","Parr Section"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes OS tiles NW and HZ, and also a water class. Refer to supporting documentation for further information. ","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/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1399374312911","https://catalogue.ceh.ac.uk/id/c3723adb-1a8c-4b57-958b-1d610d2c37fe","10.5285/c3723adb-1a8c-4b57-958b-1d610d2c37fe"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["R.D. Morton, C. Rowland, C. Wood, L. Meek, C. Marston, G. Smith, R. Wadsworth, I. Simpson. July 2011 CS Technical Report No 11/07: Final Report for LCM2007 - the new UK land cover map. NERC/Centre for Ecology & Hydrology (CEH Project Number NEC03259)"],"title":"Land Cover Map 2007 (1km dominant aggregate class, GB) v1.2","version":1.0,"view":["public","nuri"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad..."},{"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":"2015-11-08T00:00:00.000+00:00","authorAffiliation":["Wensum Alliance"],"catalogue":"cmp","description":"Continuous measurements of rainfall (in mm) from the Wensum Demonstration Test Catchment, in Norfolk, recorded between 2010 and 2015. Continuous recording rain gauges were installed at 6 sites in the catchment to record sub-hourly rainfall data, which has been aggregated to an hourly resolution throughout the monitoring period. A potential error check is also included, to highlight any possible errors associated with the record. ","documentType":"GEMINI_DOCUMENT","identifier":"fca2fd11-cc9a-4771-b1d1-36073ec087e6","impDataType":["Tabular"],"impScale":["Catchment","River Reach"],"impTopic":["Weather"],"incomingCitationCount":0,"keyword":["Tabular","Catchment","River Reach","Weather"],"licence":"Non-Open government licence","lineage":"The Wensum DTC has a monitoring network installed to measure meteorological, hydrological and hydrochemical parameters in target sub-catchments. This statement aims to describe the in-situ monitoring equipment, methods and protocols performed on our data before it is published on the archive. Quality assurance and quality control procedures Quality assurance (QA) procedures are followed during data collection, detailed with our monitoring equipment. Regular maintenance activities are carried out at a weekly frequency and involve cleaning of flow-through cells, clearing of in-channel vegetation and debris where stage is monitored and cleaning of rain gauges. All field work and maintenance activities are entered into maintenance logs for each site, which are used during data quality control (QC) procedures. QC procedures include the validation of high-frequency nutrient data using point samples in the Blackwater sub catchment. These samples are analysed in laboratories following standard methods. Inter-laboratory comparisons are used to check consistency in analytical procedures between sub-catchments. QC procedures also include the identification of errors in all data sets. Errors flagged as critical include: periods of maintenance when data may be unrepresentative; equipment of power failures; or data below limits of detection. On-site visits by field staff are recorded in a maintenance log which is checked against the data during the quality control (QC) post-processing. Any data likely to be disturbed by the routine field work are removed, along with any known periods of downtime, hence some of the data is not included and there may be time breaks in the files accessible on the archive. The Wensum DTC’s weather station data has been corrected for issues predominantly associated with the anemometer, hence some of the data is not included and there may be time breaks in the files accessible on the archive. Rain gauge data on the archive contains a quality check to ensure that the data has been matched with other rain gauge measurements, ensuring its validity. This and other periods of downtime are shown by a potential error associated with each measurement at an hourly resolution.","locations":["POLYGON((1.0791389 52.77318, 1.0791389 52.806997, 1.2012908 52.806997, 1.2012908 52.77318, 1.0791389 52.77318))"],"organisation":["Wensum Alliance"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fca2fd11-cc9a-4771-b1d1-36073ec087e6"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Continuous measurement of rainfall (2010-2015) [Wensum DTC]","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"Continuous measurements of rainfall (in mm) from the Wensum Demonstration Test Catchment, in Norfolk, recorded between 2010 and 2015. Continuous recording rain gauges were installed at 6 sites in the catchment to record sub-hourly rainfall data, which has been aggregated..."},{"catalogue":"cmp","description":"The Farm Business Survey (FBS) provides information on the financial, physical and environmental performance of farm businesses in England to inform and evaluate policy decisions. The FBS is intended to serve the needs of farmers, farming and land management interest groups, government, government partners and researchers. Survey results typically give comparisons between groups of businesses, e.g between regions or between farm types. The results attracting most attention are on farm incomes and productivity. Some of the results are produced and published by the Department for Environment, Food and Rural Affairs (Defra), whilst others are produced and published by the Rural Business Research (RBR) team.\n\nThe farm business survey produces a number of reports, the most influential of which are.\n\nFarm Accounts (1999-2015) in England is the primary publication from the Farm Business Survey. It provides information on farm incomes, outputs and costs for the various farm types, farm sizes, regions and economic performance. This report can also include information on weather, diversification and succession .\n\nFarm Business Income (2011-15) - Annual statistics on farm business income in England.\n\nFarm Household Income and Household Composition (2005-2015) - Data on farm household income, which comprises Farm Business Income (including that from diversified enterprises), the off-farm income of the principal farmer and their spouse/common law partner and income from other household members. Information also on household composition and farm net worth and assets.\n\nFarm Rents (1968-2015) - Annual statistics about average farm rents in England.\n\nFarmer’s intentions (2010-11, 2013-14) - Farmers’ aspirations and plans for the whole business and for individual enterprises.\n\nWater usage on farms (2009-10, 2013-15) - Estimates of water use on farms in England.\n\nOther analysis from the farm business survey include - \n\nAnimal health and welfare (2005-6, 2011-12) - Extensive information on cattle, sheep, pigs and poultry.\n\nBalance sheet analysis and farm performance (2010-11, 2012-13) - This release presents the main results from an analysis of the profitability and resilience of farms in England.\n\nCountryside maintenance and management (2005-11) - Number of farms participating in countryside management and maintenance activity (CMMA) and costs involved. Participation in different types of CMMA also documented (e.g Soil and water protection)\n\nFarm business management practices (2010-11) - Information on farmers qualifications and relevant skills across farm types. Computer usage information also there.\n\nFarm diversification (1998-2010) - Number of holdings participating in some form of diversification, by type of diversification, farm size and farm type. Later reports include the contribution of diversification to farm income. This is now included under farm accounts.\n\nFarm energy use ( 2007-2008, 2011-2012) - Fuel use, fertiliser use, minimum tillage information, dairy feed intake, straw baling, contractor use\n\nFarm Succession (2013-14) - Data about the presence and nature of farm business succession arrangements.\n\nFertiliser usage on farms (2012-15) - Data (by region) on the quantities of nutrients from manufactured fertilisers that were applied from a subset of farms within the main survey. The use of precision farming techniques, soil nutrient software, clover and legumes in grass swards, green manures and areas subject to fertiliser restrictions. \n\nMilk selling arrangements (2010) - Data on the milk selling arrangements of Dairy Farmers.\n\n","documentType":"GEMINI_DOCUMENT","identifier":"0e1bb9f5-6154-4f26-91df-7bca7e3ce38d","impDataType":["Tabular"],"impScale":["National"],"impTopic":["Land Use","Agricultural Practices","Greenhouse Gas Fluxes"],"incomingCitationCount":0,"keyword":["Agriculture","Land use","Tabular","National","Land Use","Agricultural Practices","Greenhouse Gas Fluxes"],"licence":"Non-Open government licence","locations":["POLYGON((-6.4526 49.864, -6.4526 55.812, 1.7675 55.812, 1.7675 49.864, -6.4526 49.864))"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0e1bb9f5-6154-4f26-91df-7bca7e3ce38d"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Defra Farm Business Survey (1999-2015)","version":1.0,"view":["public","nuri","mfry"],"shortenedDescription":"The Farm Business Survey (FBS) provides information on the financial, physical and environmental performance of farm businesses in England to inform and evaluate policy decisions. The FBS is intended to serve the needs of farmers, farming and land management interest..."},{"publicationDate":"2016-11-04T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["M.","H.","I.","D.G.","V.D.J."],"authorFamilyName":["Tanguy","Dixon","Prosdocimi","Morris","Keller"],"authorFullName":["Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"cmp","description":"1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2015. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.","documentType":"LINK_DOCUMENT","identifier":"5c966d6c-5cc6-4b25-88b3-7b48f8d58bdf","impDataType":["Geospatial / Map","Time Series"],"impScale":["National"],"impTopic":["Climate Scenarios","Weather"],"incomingCitationCount":57,"givenName":["Maliko","M.","H.","I.","D.G.","V.D.J."],"familyName":["Tanguy","Dixon","Prosdocimi","Morris","Keller"],"fullName":["Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"keyword":["Geospatial / Map","Time Series","National","Climate Scenarios","Weather","United Kingdom","Climate and climate change"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","lineage":"The rainfall estimates are derived from the Met Office national database of observed precipitations. To derive the monthly estimates, monthly and daily (when complete month available) precipitation totals from the UK raingauge network are used. An additional quality control step (data already quality controlled by the Met Office) was introduced to check events greater than the 200 year return period. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall (SAAR61-90), was used to generate the daily and monthly rainfall grids. The daily grids are adjusted so that the monthly totals calculated from those are in agreement with the monthly grids. As an indicator of the quality of the estimates, the dataset also contains for each grid generated a grid containing the distance to the closest raingauge used to interpolate the grid point. A grid containing the number of missing estimates for each year is also provided. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.\n\nThis version of the CEH-GEAR dataset differs from the previous version (1890-2014) only by temporal coverage.  That is, previous years' data have not been modified.","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/0000-0002-1516-6834","https://orcid.org/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/33604ea0-c238-4488-813d-0ad9ab7c51ca","10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2015) [CEH-GEAR]","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2015. The rainfall estimates are derived from the Met Office national database of..."},{"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 27 bands. Within each band, each 1km pixel represents a percentage cover value for one of 27 target (or 'sub') classes, roughly representing Broad Habitats.  [Note subclass codes are numbered 0-26 but the raster bands are numbered 1-27; therefore each band relates to the one below it in the subclass code list (e.g. band 1 = unclassified, 2 = Sea/Estuary, 3 = inland water, etc]\n\nThe 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.\n\n 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":"LINK_DOCUMENT","identifier":"11344792-27ef-4b8a-b226-11976e592a73","impDataType":["Geospatial / Map"],"impScale":["National"],"impTopic":["Land Cover"],"incomingCitationCount":2,"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","Habitats","Natural Capital","Parr Section"],"keywordsPlace":["Great Britain"],"keywordsOther":["Habitats","Natural Capital","Parr Section"],"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. LCM20o0 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see 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","Natural Environment Research Council","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1287417814639","https://catalogue.ceh.ac.uk/id/d5ee5360-12c5-448c-9d2b-f5c941fe3948","10.5285/d5ee5360-12c5-448c-9d2b-f5c941fe3948"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","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 target class, GB)","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 27 bands. Within each band, each 1km pixel represents a percentage cover value for one of 27 target (or 'sub') classes, roughly representing..."},{"altTitle":["WFD Waterbodies for England"],"catalogue":"cmp","description":"The Water Framework Directive (WFD) requires the preparation, implementation and review of River Basin Management Plans (RBMP) on a six-year cycle. River Basin Districts (RBD) and the WFD Waterbodies that they comprise are important spatial management units, regularly used in catchment management studies.\n\nRiver Basin Districts are the main areas for co-ordinating management of the water environment. They comprise river basins and their associated coastal waters. There are 11 River Basin Districts in England and Wales. Two cross the border with Scotland, the Solway Tweed District and Northumbria District, and a further two, the Dee and Severn Districts, cross the border between Wales and England.\n\nRiver basins are made up of lakes, rivers, groundwaters, estuaries and coastal waters, together with the land they drain. The waters of England and Wales have been divided into water bodies. These are lakes and parts of rivers, estuaries, coastal waters and groundwater. They include artificial water bodies, such as canals, and heavily modified water bodies, such as deepened and straightened rivers. Environmental objectives are set for each water body.\n\nManagement catchments are the unit of geography for which action plans are drafted in implementing the WFD. Operational catchments are a way of grouping WFD waterbodies together for the purposes of economic appraisal.\n\nThe Environment Agency publish datasets of RBDs and water bodies as spatial datasets as polylines (Rivers, Canals, Surface Water Transfers) or polygons (Lakes, Transitional waters, Coastal waters, Groundwaters, as well as catchments of the river waterbodies). Some cycle 1 datasets are not available due to licensing restrictions with the underlying datasets.\n\nDatasets available:\nCycle 1: coastal, lake, transitional (downloadable); RBD, river, management catchments, groundwater, river catchments (not downloadable).\nCycle 2 (all downloadable): RBD, river catchments, lake, transitional and coastal, groundwater operational catchments, groundwater management catchments,  surface water operational catchments, surface water management catchments, artificial water operational catchments, artificial water management catchments,  river canal and surface water transfers.","documentType":"GEMINI_DOCUMENT","identifier":"507224fa-9202-45f5-9d8e-6e743f7656eb","impScale":["National"],"impTopic":["River Flow and Networks"],"incomingCitationCount":0,"keyword":["Hydrography","National","River Flow and Networks"],"licence":"Non-Open government licence","lineage":"Cycle 1 of the WFD was completed in 2015; cycle 2 runs to 2021. There are differences between the waterbodies used within each cycle. The Environment Agency has published a dataset describing the differences between the number of cycle 1 and cycle 2 waterbodies of each type.","locations":["POLYGON((-6.4526 49.864, -6.4526 55.812, 1.7675 55.812, 1.7675 49.864, -6.4526 49.864))"],"organisation":["Environment Agency"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/507224fa-9202-45f5-9d8e-6e743f7656eb"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"Water Framework Directive (WFD) water bodies for England","version":1.0,"view":["public","mfry"],"shortenedDescription":"The Water Framework Directive (WFD) requires the preparation, implementation and review of River Basin Management Plans (RBMP) on a six-year cycle. River Basin Districts (RBD) and the WFD Waterbodies that they comprise are important spatial management units, regularly..."},{"publicationDate":"2016-03-17T00:00:00.000+00:00","authorAffiliation":["ADAS UK Ltd","Rothamsted Research North Wyke"],"authorGivenName":["F.","B.","E.","R. ","T."],"authorFamilyName":["Nicholson","Chambers","Lord","Bessey","Misselbrook"],"authorFullName":["Nicholson, F.","Chambers, B.","Lord, E.","Bessey, R.","Misselbrook, T."],"authorRor":["https://ror.org/006d11e04","https://ror.org/0347fy350"],"catalogue":"cmp","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":"LINK_DOCUMENT","identifier":"5da4dcc7-dfa1-4ab7-8c75-7e79d9ae8497","impDataType":["Geospatial / Map"],"impScale":["Farm","National"],"impTopic":["Agricultural Practices"],"incomingCitationCount":1,"givenName":["Richard","F.","B.","E.","R. ","T."],"familyName":["Gooday","Nicholson","Chambers","Lord","Bessey","Misselbrook"],"fullName":["Gooday, R.","Nicholson, F.","Chambers, B.","Lord, E.","Bessey, R.","Misselbrook, T."],"keyword":["Geospatial / Map","Farm","National","Agricultural Practices","Modelling","Pollution","agriculture","livestock farming","manure","beef cattle","agriculture and cattle industry","poultry","piggery"],"keywordsTheme":["Modelling","Pollution"],"keywordsOther":["agriculture","livestock farming","manure","beef cattle","agriculture and cattle industry","poultry","piggery"],"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))"],"organisation":["ADAS UK Ltd","Rothamsted Research North Wyke","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/517717f7-d044-42cf-a332-a257e0e80b5c","10.5285/517717f7-d044-42cf-a332-a257e0e80b5c"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/006d11e04","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"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","mfry"],"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..."},{"catalogue":"cmp","description":"Manual River Flow Measurements, a.k.a. spot or instantaneous flows, is a dataset of flow measurements carried out by visits to river sites. This output contains the calculated flow for each gauging, rather than the detailed measurements and calculations used to produce it. Data is held for:\n• Primary sites. These are gaugings at permanent, continuous monitoring sites. Their main purpose is to check that the permanent site is calculating flows correctly.\n• Secondary sites. These are gaugings at otherwise ungauged sites. They are intended as a record in themselves, where no other information is available). They may be one-off measurements or part of a planned programme.\nBoth primary and secondary gaugings provide a valuable spatial and temporal description of river flows across England and Wales\nThere are approximately 27,000 open sites. A few primary sites will have data from the 1960s to the present day.\n\nThe dataset is also known as AfA205 within the Environment Agency.\n","documentType":"GEMINI_DOCUMENT","identifier":"b29e1446-db3b-48e5-8913-be43f19ff1f9","impDataType":["Time Series"],"impScale":["National"],"impTopic":["River Flow and Networks"],"incomingCitationCount":0,"keyword":["Time Series","National","River Flow and Networks"],"licence":"Non-Open government licence","lineage":"The most common techniques measure velocities across a river’s cross-section either with impellor-based current meters, or using Acoustic Doppler Current Profilers.\n","locations":["POLYGON((-6.4526 49.864, -6.4526 55.812, 1.7675 55.812, 1.7675 49.864, -6.4526 49.864))"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b29e1446-db3b-48e5-8913-be43f19ff1f9"],"resourceStatus":"Unknown","resourceType":"Dataset","state":"published","title":"EA Manual River Flow Measurements","version":1.0,"view":["public","nuri"],"shortenedDescription":"Manual River Flow Measurements, a.k.a. spot or instantaneous flows, is a dataset of flow measurements carried out by visits to river sites. This output contains the calculated flow for each gauging, rather than the detailed measurements and calculations used to produce..."}],"facets":[{"fieldName":"resourceType","displayName":"Resource type","hierarchical":false,"admin":false,"results":[{"name":"Case Study","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=resourceType%7CCase+Study","active":false,"count":7},{"name":"Dataset","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=resourceType%7CDataset","active":false,"count":122},{"name":"Model (UKCEH)","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=resourceType%7CModel+%28UKCEH%29","active":false,"count":11}]},{"fieldName":"impCaMMPIssues","displayName":"CaMMP Issues","hierarchical":false,"admin":false,"results":[{"name":"Climate Change","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impCaMMPIssues%7CClimate+Change","active":false,"count":7},{"name":"Confidence levels","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impCaMMPIssues%7CConfidence+levels","active":false,"count":13},{"name":"Cost Effectiveness","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impCaMMPIssues%7CCost+Effectiveness","active":false,"count":3},{"name":"Management outcome","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impCaMMPIssues%7CManagement+outcome","active":false,"count":12},{"name":"Other Services","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impCaMMPIssues%7COther+Services","active":false,"count":6},{"name":"Pollution Source","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impCaMMPIssues%7CPollution+Source","active":false,"count":9},{"name":"Transferability","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impCaMMPIssues%7CTransferability","active":false,"count":13}]},{"fieldName":"impDataType","displayName":"Data Type","hierarchical":false,"admin":false,"results":[{"name":"Geospatial / Map","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impDataType%7CGeospatial+%2F+Map","active":false,"count":69},{"name":"Tabular","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impDataType%7CTabular","active":false,"count":42},{"name":"Time Series","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impDataType%7CTime+Series","active":false,"count":37},{"name":"Time series","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impDataType%7CTime+series","active":false,"count":5}]},{"fieldName":"impScale","displayName":"Scale","hierarchical":false,"admin":false,"results":[{"name":"Catchment","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CNational","active":true,"count":47},{"name":"Farm","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impScale%7CFarm","active":false,"count":4},{"name":"Field","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impScale%7CField","active":false,"count":1},{"name":"National","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment","active":true,"count":93},{"name":"Plot","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impScale%7CPlot","active":false,"count":1},{"name":"Regional","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational","active":true,"count":6},{"name":"River Reach","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impScale%7CRiver+Reach","active":false,"count":10},{"name":"River reach","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational","active":true,"count":10},{"name":"catchment","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impScale%7Ccatchment","active":false,"count":6},{"name":"national","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7CCatchment&facet=impScale%7CNational","active":true,"count":3}]},{"fieldName":"impTopic","displayName":"Topic","hierarchical":false,"admin":false,"results":[{"name":"Administration Units","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CAdministration+Units","active":false,"count":2},{"name":"Agricultural Practices","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CAgricultural+Practices","active":false,"count":13},{"name":"Air Quality","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CAir+Quality","active":false,"count":2},{"name":"Biodiversity","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CBiodiversity","active":false,"count":6},{"name":"Catchments and Topography","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CCatchments+and+Topography","active":false,"count":10},{"name":"Catchments and topography","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CCatchments+and+topography","active":false,"count":4},{"name":"Climate Scenarios","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CClimate+Scenarios","active":false,"count":8},{"name":"Climate scenarios","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CClimate+scenarios","active":false,"count":9},{"name":"Geology","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CGeology","active":false,"count":2},{"name":"Greenhouse Gas Fluxes","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CGreenhouse+Gas+Fluxes","active":false,"count":1},{"name":"Greenhouse gas fluxes","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CGreenhouse+gas+fluxes","active":false,"count":5},{"name":"Land Cover","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CLand+Cover","active":false,"count":16},{"name":"Land Use","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CLand+Use","active":false,"count":4},{"name":"Land cover","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CLand+cover","active":false,"count":2},{"name":"Land use","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CLand+use","active":false,"count":7},{"name":"Non-agricultural Pollution","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CNon-agricultural+Pollution","active":false,"count":7},{"name":"Non-agricultural pollution","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CNon-agricultural+pollution","active":false,"count":9},{"name":"River Flow and Networks","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CRiver+Flow+and+Networks","active":false,"count":17},{"name":"River flow and networks","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CRiver+flow+and+networks","active":false,"count":7},{"name":"Site Specific Data","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CSite+Specific+Data","active":false,"count":9},{"name":"Soil","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CSoil","active":false,"count":18},{"name":"Water Quality","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CWater+Quality","active":false,"count":44},{"name":"Water Use","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CWater+Use","active":false,"count":6},{"name":"Water quality","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CWater+quality","active":false,"count":16},{"name":"Weather","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impTopic%7CWeather","active":false,"count":11}]},{"fieldName":"impWaterPollutant","displayName":"Water Pollutant","hierarchical":false,"admin":false,"results":[{"name":"Biological Quality","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impWaterPollutant%7CBiological+Quality","active":false,"count":4},{"name":"Biological quality","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impWaterPollutant%7CBiological+quality","active":false,"count":4},{"name":"Faecal Indicator Organisms","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impWaterPollutant%7CFaecal+Indicator+Organisms","active":false,"count":7},{"name":"Metaldehyde","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impWaterPollutant%7CMetaldehyde","active":false,"count":2},{"name":"Nitrogen","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impWaterPollutant%7CNitrogen","active":false,"count":33},{"name":"Phosphorous","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impWaterPollutant%7CPhosphorous","active":false,"count":2},{"name":"Phosphorus","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impWaterPollutant%7CPhosphorus","active":false,"count":30},{"name":"Sediment","url":"http://catalogue.ceh.ac.uk/cmp/documents?facet=impScale%7CRiver+reach&facet=impScale%7CRegional&facet=impScale%7Cnational&facet=impScale%7CCatchment&facet=impScale%7CNational&facet=impWaterPollutant%7CSediment","active":false,"count":17}]}],"order":"asc"}