{"numFound":106,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=resourceStatus%7CSuperseded","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=resourceStatus%7CSuperseded","results":[{"publicationDate":"2022-03-23T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["H.N.","P.","V.A."],"authorFamilyName":["Davies","Rameshwaran","Bell"],"authorFullName":["Davies, H.N.","Rameshwaran, P.","Bell, V.A."],"authorOrcid":["https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The dataset includes five files of UK physical river characteristics including four files of gridded data at 1km × 1km resolution and one comma separated table. The data includes: \n - Outflow drainage directions (D8)\n - Catchment areas (km2)\n - Widths of bankfull rivers (m)\n - Depths of bankfull rivers (m)\n - NRFA gauging station locations (easting (m), northing (m))\n\nThe comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"6da95899-f3b8-4089-b621-560818aa78ba","incomingCitationCount":0,"givenName":["H.N.","P.","V.A."],"familyName":["Davies","Rameshwaran","Bell"],"fullName":["Davies, H.N.","Rameshwaran, P.","Bell, V.A."],"keyword":["UK","Hydrology","Drainage directions","river","drainage","hydrology"],"keywordsPlace":["UK"],"keywordsTheme":["Hydrology"],"keywordsOther":["Drainage directions","river","drainage","hydrology"],"licence":"Open government licence","lineage":"The 1km × 1km outflow drainage direction and catchment areas datasets are generated from a 50m × 50m resolution digital terrain: IHDTM (Integrated Hydrological Digital Terrain Model). Bankfull river widths on a 1km × 1km grid are generated using the OS MasterMap Water Network Layer width data in a regression relationship with geomorphic and rainfall characteristics. The 1km × 1km gridded bankfull river depth dataset is generated using observed measurements from a range of sources in a regression relationship with geomorphic and rainfall characteristics. Finally, the NRFA gauging station location dataset on a 1km × 1km grid is generated by identifying the location (easting, northing) on the catchment areas dataset that best represents the true gauging station location. An indication of the quality of these data is provided by the % error between the 1km-derived and the IHDTM catchment areas. See supporting information for more details.","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/0000-0001-7783-4853","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6da95899-f3b8-4089-b621-560818aa78ba","10.5285/6da95899-f3b8-4089-b621-560818aa78ba"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Gridded (1km) physical river characteristics for the UK","topic":["0/Hydrology/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"The dataset includes five files of UK physical river characteristics including four files of gridded data at 1km × 1km resolution and one comma separated table. The data includes: \n - Outflow drainage directions (D8)\n - Catchment areas (km2)\n - Widths of bankfull rivers..."},{"publicationDate":"2021-10-01T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated"],"authorGivenName":["C.","R.","J."],"authorFamilyName":["Andrews","Snazell","Dick"],"authorFullName":["Andrews, C.","Snazell, R.","Dick, J."],"authorOrcid":["https://orcid.org/0000-0003-2428-272X","https://orcid.org/0000-0002-4180-9338"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of count data (by gender) for all species of spider collected from three habitats (mire, dwarf-shrub heath, pine woodland) at the Cairngorms Environmental Change Network (ECN) site between 2004 and 2019. Spiders were collected in pitfall traps on a two-weekly basis between March and early November.  Each habitat contained 10 pitfall traps, spaced 10 m apart.  Samples were aggregated by habitat and collection date prior to analysis.  The number of male and females of each species was recorded by the same expert araneologist for the duration (2004-2019). Data was collected to look at long-term trends in invertebrate ground predators.  \n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"d251b39a-a5be-4193-89dc-6a7be9059d42","incomingCitationCount":0,"givenName":["C.","R.","J.","Christopher"],"familyName":["Andrews","Snazell","Dick"],"fullName":["Andrews, C.","Snazell, R.","Dick, J."],"keyword":["Cairngorms ECN site","Spiders","Cairngorms","Environmental change"],"keywordsPlace":["Cairngorms ECN site","Spiders","Cairngorms","Environmental change"],"licence":"Open government licence","lineage":"Data was collected and processed using ECN standard methodology (available from the ECN website).  \n\nSampling data was crosschecked with returned species data to ensure trapping dates and locations were correct within the dataset.  Additional data was added to clearly label transect age (see supporting documentation).  \n\nThe data was manually checked for errors but has not been through an exhaustive QC process which is recommended as good practice prior to use.\n","locations":["POLYGON((-3.86 57.07, -3.86 57.11, -3.8 57.11, -3.8 57.07, -3.86 57.07))"],"orcid":["https://orcid.org/0000-0003-2428-272X","https://orcid.org/0000-0002-4180-9338"],"organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d251b39a-a5be-4193-89dc-6a7be9059d42","10.5285/d251b39a-a5be-4193-89dc-6a7be9059d42"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"UK Environmental Change Network (ECN) Cairngorm spider data 2004-2019","version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset consists of count data (by gender) for all species of spider collected from three habitats (mire, dwarf-shrub heath, pine woodland) at the Cairngorms Environmental Change Network (ECN) site between 2004 and 2019. Spiders were collected in pitfall traps..."},{"publicationDate":"2022-05-04T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research"],"authorGivenName":["A.","J.K.","J.A.","J.E.","G.R.","S."],"authorFamilyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"authorFullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Phenotypes for Scots pine mother trees and their cones/seed from 21 populations across Scotland in 2007. The seed was used to establish a long-term multisite common garden trial at three nurseries/field sites.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council","Scottish Government"],"grant":["NE/K012177/1","BB/L012243/1"],"identifier":"ac687a66-135e-4c65-8bf6-c5a3be9fd9aa","incomingCitationCount":0,"givenName":["A.","J.K.","J.A.","J.E.","G.R.","S."],"familyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"fullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"keyword":["Pinus sylvestris","Scots pine","Caledonian pinewood","Adaptive trait variation","Phenotype","Growth","Mother tree","Seed"],"keywordsOther":["Pinus sylvestris","Scots pine","Caledonian pinewood","Adaptive trait variation","Phenotype","Growth","Mother tree","Seed"],"licence":"Open government licence","lineage":"Twenty-one Caledonian pinewood populations were visited in 2007 and cones collected from 10 trees (known as ‘mother trees’) per population. Phenotypes (including height, DBH, soil depth, competition and altitude) were recorded for each mother tree. The size and weight of cones (10 per mother tree) and seeds (all seeds within each cone: total number, percentage viability and weight) were also recorded.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research","The James Hutton Institute","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac687a66-135e-4c65-8bf6-c5a3be9fd9aa","10.5285/ac687a66-135e-4c65-8bf6-c5a3be9fd9aa"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Forest Research","The James Hutton Institute"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Long-term multisite Scots pine trial, Scotland: mother tree, cone and seed phenotypes, 2007","version":1.0,"view":["public","matnic"],"shortenedDescription":"Phenotypes for Scots pine mother trees and their cones/seed from 21 populations across Scotland in 2007. The seed was used to establish a long-term multisite common garden trial at three nurseries/field sites."},{"publicationDate":"2019-07-23T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Rothamsted Research","Butterfly Conservation"],"authorGivenName":["C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R."],"authorFamilyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"authorFullName":["Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R."],"authorOrcid":["https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0003-1640-6120","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-4869-8052","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-7175-5393"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/05jg03a59"],"catalogue":"eidc","description":"The dataset contains national trends for 432 species of moths (mostly macro-moths) estimated using the moth data collected by Rothamsted Insect Survey (RIS) from their national light-trap network between the years 1968 and 2016. The trends were calculated using a Generalised Abundance Index (GAI) model. The trends are presented as year coefficients from the statistical model, Annual Growth Rates (AGR), and the total percentage changes over the whole time series. For each trend metric 95% and 90% confidence intervals are also provided. The dataset additionally contains a related set of trends produced specifically for the Atlas of Britain & Ireland’s Larger Moths which used a restricted subset of the data from UK analysis, specifically only using data from traps in Great Britain and only data from 1970 and 2016.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"grant":["NE/N018125/1","BBS/E/C/000J0200"],"identifier":"e7e0e4ad-f8c1-46fc-85b5-6d88057024b8","incomingCitationCount":2,"givenName":["C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R."],"familyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"fullName":["Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R."],"keyword":["ASSIST","Biodiversity","Environmental survey"],"keywordsProject":["ASSIST"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The Rothamsted light-trap network is a network of standardised light-traps that are operated throughout the year by volunteers. Using standardised traps means that the data from different sites and/or times are directly comparable. Although for the majority of species the time period of the data used in the analysis was 1968-2016, there was a handful of species of species where the time period had to be modified due taxonomic or data issues. For example the time period used for many pug species in the analysis was 1986 onwards due to inconsistency in the identification of these species in earlier years through a lack of suitable identification resources such as field guides. A few other species had initial years excluded due to data issues in those earlier years.\n\nThe GAI methodology is a two-step statistical method designed to analyse count data for taxa showing seasonal patterns in abundance, such as Butterflies and Moths. The first step uses statistical models, in this case generalised additive models (GAMs) with a smoothing spline, to estimate annual flight curves for each species.  The second stage takes these annual flight curves and uses them to correct for seasonal gaps in recording, producing estimated annual abundance indices for each site (site indices), to which a Poisson general linear model (GLM) is fitted allowing to the year and sites effects upon the site. The year coefficient from these GLMs are one of the measures of the temporal abundance trend presented in this data. In addition to the coefficient itself two additional metrics of temporal trend were estimated and are presented here, specifically the Annual Growth Rate (AGR) and the total percentage change over the time series for each species. Confidence intervals on the trend metrics were determined by bootstrapping (1000 replicates).\n\nThe research was primarily funded by Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) under research programme NE/N018125/1 LTS-M ASSIST – Achieving Sustainable Agricultural Systems. The Rothamsted Insect Survey, a National Capability, is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200. The research builds upon model development supported by NERC award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","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/0000-0001-5070-5293","https://orcid.org/0000-0003-1640-6120","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-4869-8052","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-7175-5393"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Rothamsted Research","Butterfly Conservation","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e7e0e4ad-f8c1-46fc-85b5-6d88057024b8","10.5285/e7e0e4ad-f8c1-46fc-85b5-6d88057024b8"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"state":"published","title":"UK moth trends from Rothamsted Insect Survey light-trap network (1968 to 2016)","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"The dataset contains national trends for 432 species of moths (mostly macro-moths) estimated using the moth data collected by Rothamsted Insect Survey (RIS) from their national light-trap network between the years 1968 and 2016. The trends were calculated using a Generalised..."},{"publicationDate":"2016-12-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Bangor University"],"authorGivenName":["D.A.","I.","A.R.","M.R.","B.A.","S.","D.M."],"authorFamilyName":["Robinson","Lebron","Smith","Marshall","Emmett","Reinsch","Cooper","Brooks"],"authorFullName":["Robinson, D.A.","Lebron, I.","Smith, A.R.","Marshall, M.R.","Emmett, B.A.","Reinsch, S.","Cooper, D.M.","Brooks, M.R."],"authorOrcid":["https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0001-8580-278X","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-7578-7918"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"catalogue":"eidc","description":"This dataset contains soil hydraulic measurement data from the Climoor field site in the Clocaenog forest, in North Wales. The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content. 2) Unsaturated hydraulic conductivity measured in the field at tensions of -2 and -6 centimetre using a mini disk infiltrometer. 3) Unsaturated hydraulic conductivity measured using a HYPROP (registered trademark) instrument, an instrument which determines the hydraulic properties of soil samples, on soil cores taken from the field plots. 4) Soil water release curves for wet soil corresponding to the hydraulic conductivity measurements made using a HYPROP in the laboratory on cores from the field. 5) Soil water release curve data for dry soil measured using a WP4 potentiometer. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled and not available (NA's) have been added where there is no data. Data was collected between the end of 2010 and early 2012. Data sets 1, 3 and 4 were collected in April and September, 2011, data set 2 in May, 2012 and data set 5 in November, 2010. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data were collected to monitor site specific soil properties at a specific reference time.","documentType":"GEMINI_DOCUMENT","identifier":"ae7a60ac-b72d-41f5-a42c-c648769cd403","incomingCitationCount":0,"givenName":["David","D.A.","I.","A.R.","M.R.","B.A.","S.","D.M."],"familyName":["Robinson","Lebron","Smith","Marshall","Emmett","Reinsch","Cooper","Brooks"],"fullName":["Robinson, D.","Robinson, D.A.","Lebron, I.","Smith, A.R.","Marshall, M.R.","Emmett, B.A.","Reinsch, S.","Cooper, D.M.","Brooks, M.R."],"keyword":["HYPROP","infiltrometer","Clocaenog","North Wales","Soil","Soil water release","hydraulic conductivity","heathland","bulk density","conductivity","soil water"],"keywordsInstrument":["HYPROP","infiltrometer"],"keywordsPlace":["Clocaenog","North Wales"],"keywordsTheme":["Soil"],"keywordsOther":["Soil water release","hydraulic conductivity","heathland","bulk density","conductivity","soil water"],"licence":"Open government licence","lineage":"Data was collected by experienced staff scientists who work with soils. Data sets 1, 3 and 4 were collected using stainless steel cores that fit to the HYPROP (registered trademark) instrumentation (UMS, Munich, Germany). Bulk density in data set 1 used the oven drying method at 105 degrees celsius. Data set 2 was collected using a minidisk infiltrometer (Decagon devices, Pullman, USA) while data set 5 was measured using a WP4-PotentiaMeter (Decagon devices, Pullman, USA). All data visually inspected using basic graphing tools as part of the quality assurance, quality control procedures. Data processing steps using the HYPROP data (3, 4) included using the HYPROP-FIT Software. In order to have water release curve data at the same suction, all raw data were interpolated using spline fitting in R (R Development Core Team, 2014). The minidisk infiltrometer measurements were converted to hydraulic conductivity using the standard approach detailed in the minidisk manual, which along with all the other manuals is included in the data set supporting materials. All data were collated into an Excel spreadsheet. Each dataset was exported from the Excel spreadsheet as a separate comma separated (.csv)  file for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"orcid":["https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0001-8580-278X","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-7578-7918"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Bangor University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae7a60ac-b72d-41f5-a42c-c648769cd403","10.5285/ae7a60ac-b72d-41f5-a42c-c648769cd403"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"state":"published","title":"Soil hydraulic property data from the Climoor fieldsite in the Clocaenog Forest (2010-2012)","topic":["0/Soil/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"This dataset contains soil hydraulic measurement data from the Climoor field site in the Clocaenog forest, in North Wales. The collection contains five data sets. 1) soil bulk density (0-5 centimetre) and saturated water content. 2) Unsaturated hydraulic conductivity..."},{"publicationDate":"2014-03-07T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["A.","B.A."],"authorFamilyName":["Sowerby","Emmett"],"authorFullName":["Sowerby, A.","Emmett, B.A."],"authorOrcid":["https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset includes litterfall data from the experimental plots at the Climoor field site in the Clocaenog forest, NE Wales. Litterfall (natural senesced plant material) was collected in litterfall traps (12 x 7.5cm pots standing slightly proud of the soil/litter surface, emptied monthly). Litterfall was calculated by drying the contents of the traps and weighing the samples; values were calculated for each quadrat (total weight (g) only) and for each plot (total weight (g) and weight per metre squared (g/m2)). Data spans the periods Oct 1999 to Jan 2004 and July 2008 to June 2011.","documentType":"GEMINI_DOCUMENT","identifier":"dd4dfc72-dafe-44a2-af2b-0118d949d7ad","incomingCitationCount":0,"givenName":["A.","B.A."],"familyName":["Sowerby","Emmett"],"fullName":["Sowerby, A.","Emmett, B.A."],"keyword":["Climate and climate change","vegetation","litter"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["vegetation","litter"],"licence":"Open government licence","lineage":" Litterfall was estimated using litterfall traps. Traps measured 7.5 cm diameter and 12 were placed in each plot in 3 different quadrats (D3, E4 and E7). Traps were emptied on a monthly basis from 1999 to 2002. After 2002, litter was not emptied on a monthly basis, and occasionally was left out in the trap for a few months (this was for the same duration for all plots, ie there was always consistency across the treatments). Once collected in, the litterfall was first air dried before removal from the trap. Litter was pooled for each of quadrats (for example, the litter collected from the four pots in each quadrat was pooled, so you would end up with samples from plot 1 quadrat D3, plot 1 quadrat E4 and plot 1 quadrat E7, and so on) prior to oven drying at 75 oC overnight and weighing. Data processing Data was manually typed into and stored in an MASTER Excel file. Mean litterfall per quadrat was calculated for each plot (ie the mean of the weight of litter collected in D3, E4 and E7). Data was then multiplied by 56.6 to convert data into the units g litter m-2. ","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"orcid":["https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd4dfc72-dafe-44a2-af2b-0118d949d7ad","10.5285/dd4dfc72-dafe-44a2-af2b-0118d949d7ad"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Litterfall data from Climoor fieldsite in Clocaenog Forest","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","asowe"],"shortenedDescription":"This dataset includes litterfall data from the experimental plots at the Climoor field site in the Clocaenog forest, NE Wales. Litterfall (natural senesced plant material) was collected in litterfall traps (12 x 7.5cm pots standing slightly proud of the soil/litter..."},{"publicationDate":"2020-01-24T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology ","UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS), ","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University"],"authorGivenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"authorFamilyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"authorFullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"authorOrcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","http://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0003-3463-0054","https://orcid.org/0000-0001-5370-4894"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797"],"catalogue":"eidc","description":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem. The yield loss calculations were done as part of the NERC funded SUNRISE project (NEC06476).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R000131/1"],"identifier":"181a7dd5-0fd4-482a-afce-0fa6875b5fb3","incomingCitationCount":2,"givenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M.","Katrina"],"familyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"fullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"keyword":["Air pollution","Yield loss","Wheat","Soybean","Maize","Rice","Zea mays","Oryza sativa","Glycine max","Triticum aestivum"],"keywordsOther":["Air pollution","Yield loss","Wheat","Soybean","Maize","Rice","Zea mays","Oryza sativa","Glycine max","Triticum aestivum"],"licence":"Open government licence","lineage":"A 1 degree by 1 degree grid was created using ArcMap. Crop production data (0.0833 degree resolution) from the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) dataset (for the year 2000) was downloaded. Irrigated and non-irrigated production data was collected for each crop type. For each crop, total production was summed per 1 degree by 1 degree grid cell. Then average production for the period 2010-2012 for each grid cell was estimated using a conversion factor from FAO national crop production data, based on the difference between average production for the period 1999-2001 and 2010-2012. For each crop, only grid cells with greater than 500 tonnes crop production were included when mapping yield loss.\n\nEach grid cell was classed as either irrigated (greater than 75 percent irrigated crop production) or non-irrigated. Grid cells were also assigned to a hemisphere (Northern or Southern) and a climatic zone. For each hemisphere/climatic zone combination, a 90-day growing period was set, based on the main growing season per year for each crop.\n\nThe EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre‐West) chemical transport model (version 4.16) was used to calculate daily ozone flux (POD3IAM; phytotoxic ozone dose above 3 nmol m−2 s−1, parameterized for integrated assessment modelling) for the years 2010 - 2012. For each crop, the accumulated 90-day POD3IAM was calculated per grid cell based on the climate specific growing period for the cell, and an average value calculated for the period 2010-2012.\n\nYield loss was calculated using the ozone dose-response relationship for wheat, following the most recent methodology adopted by the Convention for Long-Range Transboundary Air Pollution (CLRTAP) in 2017. First a reference value of POD3IAM = 0.1mmol/m2 (used to represent ozone uptake at pre-industrial or natural ozone levels) was subtracted before yield loss was calculated. This value was the mean POD3IAM for the experimental conditions included in the dose-response relationship, assuming constant 10 ppb ozone throughout the 90-day period.\n\nThe equation used to calculate percentage yield loss was as follows:\npercentage Yield Loss = (POD3IAM – 0.1) * 0.64                                                                         \nwhere 0.64 is the slope of the relationship between POD3IAM and percentage yield reduction and represents the percentage reduction per mmol/m2 POD3IAM.\n\nFor maize, rice and soybean, the POD3IAM values per grid cell were first used to calculate percentage yield loss using the equation for wheat. Then the relative ozone sensitivity of each crop compared to wheat was calculated by dividing the slope of the M7 (7-hour mean ozone concentration) response function for the crop by that for wheat. For each grid cell, the percentage yield loss for wheat was multiplied by the relative ozone sensitivity value, to calculate the final estimated percentage yield loss for each crop. \n\nPercentage yield loss values were added to the 1 degree by 1 degree grid and saved as GIS shapefiles, one per crop for ingestion into the EIDC.\n\nAn evaluation of EMEP model performance found a strong correlation between modelled and measured ozone data from Global Atmosphere Watch (GAW) sites. The EMEP model was found to capture spatial and temporal variations in ozone across regions.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","http://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0003-3463-0054","https://orcid.org/0000-0001-5370-4894"],"organisation":["UK Centre for Ecology & Hydrology ","UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS), ","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/181a7dd5-0fd4-482a-afce-0fa6875b5fb3","10.5285/181a7dd5-0fd4-482a-afce-0fa6875b5fb3"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, A. & Wind, P. (2012) The EMEP MSC-W chemical transport model – technical description. Atmospheric Chemistry and Physics, 12: 7825–7865\n"],"supplementalName":["Report","SUNRISE website","EMEP website"],"title":"Modelled average percentage yield loss due to ozone damage for four global staple crops (2010-2012)","version":1.0,"view":["public","danor"],"shortenedDescription":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are..."},{"publicationDate":"2016-11-08T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorGivenName":["M.","D.","T.","I.","Z."],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"catalogue":"eidc","description":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2015), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).","documentType":"GEMINI_DOCUMENT","identifier":"28941e2d-ccb0-4558-8454-99c692777ce9","incomingCitationCount":0,"givenName":["M.","D.","T.","I.","Z."],"familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"keyword":["UK","England","Scotland","Wales","Northern Ireland","Biodiversity","Aglais io","Aglais urticae","Anthocharis cardamines","Apatura iris","Aphantopus hyperantus","Argynnis adippe","Argynnis aglaja","Argynnis paphia","Aricia agestis","Aricia artaxerxes","Boloria euphrosyne","Boloria selene","Callophrys rubi","Celastrina argiolus","Coenonympha pamphilus","Coenonympha tullia","Colias croceus","Cupido minimus","Erebia aethiops","Erynnis tages","Euphydryas aurinia","Favonius quercus","Gonepteryx rhamni","Hamearis lucina","Hesperia comma","Hipparchia semele","Lasiommata megera","Leptidea juvernica","Leptidea sinapis","Lycaena phlaeas","Maniola jurtina","Melanargia galathea","Melitaea athalia","Melitaea cinxia","Ochlodes sylvanus","Papilio machaon","Pararge aegeria","Pieris brassicae","Pieris napi","Pieris rapae","Plebejus argus","Polygonia c-album","Polyommatus bellargus","Polyommatus coridon","Polyommatus icarus","Pyrgus malvae","Pyronia tithonus","Satyrium pruni","Satyrium w-album","Thecla betulae","Thymelicus acteon","Thymelicus lineola","Thymelicus sylvestris","Vanessa atalanta","Vanessa cardui","lepidopteran","butterfly"],"keywordsPlace":["UK","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"keywordsOther":["Aglais io","Aglais urticae","Anthocharis cardamines","Apatura iris","Aphantopus hyperantus","Argynnis adippe","Argynnis aglaja","Argynnis paphia","Aricia agestis","Aricia artaxerxes","Boloria euphrosyne","Boloria selene","Callophrys rubi","Celastrina argiolus","Coenonympha pamphilus","Coenonympha tullia","Colias croceus","Cupido minimus","Erebia aethiops","Erynnis tages","Euphydryas aurinia","Favonius quercus","Gonepteryx rhamni","Hamearis lucina","Hesperia comma","Hipparchia semele","Lasiommata megera","Leptidea juvernica","Leptidea sinapis","Lycaena phlaeas","Maniola jurtina","Melanargia galathea","Melitaea athalia","Melitaea cinxia","Ochlodes sylvanus","Papilio machaon","Pararge aegeria","Pieris brassicae","Pieris napi","Pieris rapae","Plebejus argus","Polygonia c-album","Polyommatus bellargus","Polyommatus coridon","Polyommatus icarus","Pyrgus malvae","Pyronia tithonus","Satyrium pruni","Satyrium w-album","Thecla betulae","Thymelicus acteon","Thymelicus lineola","Thymelicus sylvestris","Vanessa atalanta","Vanessa cardui","lepidopteran","butterfly"],"licence":"Non-Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Collated indices are calculated from UKBMS data using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.","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/0000-0002-5276-1405","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","UK Butterfly Monitoring Scheme","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/28941e2d-ccb0-4558-8454-99c692777ce9","10.5285/28941e2d-ccb0-4558-8454-99c692777ce9"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites. "],"supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: species trends 2015","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value)..."},{"publicationDate":"2016-05-13T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS"],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","E.","M.","A.","Y.","F.","L.","H.","I.","T."],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Eaton","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker"],"authorFullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Eaton, E.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0002-4180-9338","https://orcid.org/0000-0003-0742-3658","https://orcid.org/0000-0002-2300-6558"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04"],"catalogue":"eidc","description":"Fine Grain Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). In this protocol, 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. They represent continuous records every three years (some sites record data annually) from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","identifier":"5a1efdfc-8f51-4ee9-9ed4-677bddd3f135","incomingCitationCount":0,"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","E.","M.","A.","Y.","F.","L.","H.","I.","T."],"familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Eaton","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Eaton, E.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M."],"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Environmental Change Network","ILTER","LTER","Biodiversity","vegetation species","semi-natural and managed vegetation","biodiversity"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsProject":["Environmental Change Network","ILTER","LTER"],"keywordsTheme":["Biodiversity"],"keywordsOther":["vegetation species","semi-natural and managed vegetation","biodiversity"],"licence":"Non-Open government licence","lineage":"Data are collected at all of ECN's terrestrial sites using a standard protocol (http://www.ecn.ac.uk/measurements/terrestrial/v). In this protocol 10m x 10m plots are randomly selected within each vegetation type on the site - species presence is recorded in 40cm x 40 cm cells randomly selected within these plots. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0002-4180-9338","https://orcid.org/0000-0003-0742-3658","https://orcid.org/0000-0002-2300-6558"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Environmental Change Network","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5a1efdfc-8f51-4ee9-9ed4-677bddd3f135","10.5285/5a1efdfc-8f51-4ee9-9ed4-677bddd3f135"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"state":"published","supplementalName":["ECN Web Site"],"title":"UK Environmental Change Network (ECN) Fine Grain Vegetation data: 1994-2012 ","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Fine Grain Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). In this protocol, 10m x 10m plots are randomly selected..."},{"publicationDate":"2017-08-21T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Joint Nature Conservation Committee"],"authorGivenName":["W.J.","C."],"authorFamilyName":["Bealey","Whitfield"],"authorFullName":["Bealey, W.J.","Whitfield, C."],"authorOrcid":["https://orcid.org/0000-0003-3708-5864"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains the linkages between designated features and their relevant critical loads or levels. The designated features come from the UK network of protected nature sites including:\n (i)\tSpecial Areas of Conservation (SAC)\n(ii)\tSpecial Protection Areas (SPA)\n(iii)\tSites of Special Scientific Interest (SSSI) - England, Scotland, Wales\n(iv)   Areas of Special Scientific Interest (ASSI) - Northern Ireland.\n\nCritical loads and levels are set under the auspices of the United Nations Economic Commission for Europe (UNECE) Convention on Long-Range Transboundary Air Pollution. \n\nFor nutrient nitrogen critical loads are based on empirical evidence, mainly observations from experiments and targeted gradient studies. These empirical critical loads are assigned to habitat classes of the European Nature Information System (EUNIS) to enable consistency of habitat terminology and understanding across Europe.  In order to assign the relevant critical load to Annex I features, A/SSSI habitat features, or habitats of Annex II/SPA features, habitat correspondence tables are used to determine the relationship between the EUNIS classes for which nitrogen critical loads are set and the interest features.\n\nCritical loads of acidity are based on soil and habitat types.  They are set for six Broad Habitats; acid grassland, calcareous grassland, dwarf shrub heath, bogs, montane, unmanaged coniferous and broadleaved woodland.\n\nCritical Levels for air pollutants are not habitat specific and have been set to cover broad vegetation types (e.g. forest arable, semi-natural), often with critical values set for sensitive lichens and bryophytes. They have been derived from experiments and observation that show varied effects on vegetation including visible injury symptoms of exposure and species composition changes in semi-natural vegetation.\n","documentType":"GEMINI_DOCUMENT","identifier":"c37cb567-6afc-4cf8-b0bc-8ec054346a6f","incomingCitationCount":0,"givenName":["Bill","W.J.","C."],"familyName":["Bealy","Bealey","Whitfield"],"fullName":["Bealy, B.","Bealey, W.J.","Whitfield, C."],"keyword":["Pollution","natura 2000","nitrogen deposition","deposition","acid deposition","ammonia","nitrogen dioxide","sulphur dioxide","critical load","critical level"],"keywordsTheme":["Pollution"],"keywordsOther":["natura 2000","nitrogen deposition","deposition","acid deposition","ammonia","nitrogen dioxide","sulphur dioxide","critical load","critical level"],"licence":"Open government licence","lineage":"To be able to estimate the impacts of air pollutants on designated sites, interest features need to be assigned the most relevant critical load or critical level. Site-relevant critical loads and levels is the name given to the process of allocating the most relevant critical load or level to every interest feature at a designated site (SAC, SPA or A/SSSI). \n\nTo provide relevant critical loads and levels for interest features (habitats) links were made using the European Nature Information System (EUNIS) where possible. Critical load and level values are set out in the 'Manual on methodologies and criteria for Modelling and Mapping Critical Loads & Levels and Air Pollution Effects, Risks and Trends (CLRTAP, 2004 to 2016). \n\nEmpirical critical loads for nutrient nitrogen are assigned to a habitat using habitat correspondence tables to determine the relationship between the EUNIS classes for which nitrogen critical loads are set and the interest features. Justifications were provided for each match between an interest feature and its relevant critical load.\n\nCritical loads of acidity are based on soil and habitat types and were based on six Broad Habitats; acid grassland, calcareous grassland, dwarf shrub heath, bogs, montane, unmanaged coniferous and broadleaved woodland (UK Biodiversity Action Plan, 1994).\n\nFor species, relevant critical loads were applied to the species' habitat and not to the species itself. For example, for SPA bird features an assessment was made on the sensitivity of the habitat and how that would affect the viability of the breeding, feeding or roosting of that species.\n\nCritical level values are not habitat specific, but have been set to cover broad vegetation types (e.g. forest arable, semi-natural), often with critical values set for sensitive lichens and bryophytes as in the case of ammonia. Linkages were made between habitat and species where possible to provide site relevant critical levels for ammonia, nitrogen dioxide, and sulphur dioxide. \n\nThis work falls under the Air Pollution Information System (APIS) and is jointly funded between the Centre for Ecology & Hydrology and the UK pollution and conservation agencies including Natural Resources Wales (NRW), the Environment Agency, Northern Ireland Environment Agency, Natural England, the Joint Nature Conservation Committee (JNCC), Scotland and Northern Ireland Forum for Environmental Research (SNIFFER), the Scottish Environment Protection Agency (SEPA), and Scottish Natural Heritage (SNH).\n","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/0000-0003-3708-5864"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c37cb567-6afc-4cf8-b0bc-8ec054346a6f","10.5285/c37cb567-6afc-4cf8-b0bc-8ec054346a6f"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Manual on Methodologies and Criteria for Modelling and Mapping Critical Loads and Levels and Air Pollution Effects, Risks and Trends"],"supplementalName":["Site Relevant Critical Loads and Source Attribution (APIS) website"],"title":"Critical load/level linkages for interest features at UK protected sites","topic":["0/Pollution/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset contains the linkages between designated features and their relevant critical loads or levels. The designated features come from the UK network of protected nature sites including:\n (i)\tSpecial Areas of Conservation (SAC)\n(ii)\tSpecial Protection Areas (SPA)\n(iii)\tSites..."},{"publicationDate":"1993-01-01T00:00:00.000+00:00","altTitle":["Land Cover Map of Great Britain (1km dominant target class, GB)","LCMGB (1km dominant 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":"eidc","description":"The Land Cover Map of Great Britain 1990 (1km dominant target class, GB), is a raster digital dataset, providing classification of land cover types into 25 classes, at a 1km resolution. The dataset consists of a 1km grid with a full set of the 25 target classes (or 'sub' classes). Each 1km contains the dominant habitat class, 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.","documentType":"GEMINI_DOCUMENT","identifier":"4e3fe599-1ae9-4dbb-9476-bfc74fe90b4e","incomingCitationCount":0,"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":["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":["1287411168957","https://catalogue.ceh.ac.uk/id/4e3fe599-1ae9-4dbb-9476-bfc74fe90b4e","10.5285/4e3fe599-1ae9-4dbb-9476-bfc74fe90b4e"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 1990 (1km dominant target class, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"The Land Cover Map of Great Britain 1990 (1km dominant target class, GB), is a raster digital dataset, providing classification of land cover types into 25 classes, at a 1km resolution. The dataset consists of a 1km grid with a full set of the 25 target classes (or..."},{"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":"eidc","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":"GEMINI_DOCUMENT","identifier":"b745e7b1-626c-4ccc-ac27-56582e77b900","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":["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..."},{"publicationDate":"2015-02-25T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS"],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","E.","M.","A.","Y.","F.","L.","H.","I.","T."],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Eaton","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker"],"authorFullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Eaton, E.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0002-4180-9338"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04"],"catalogue":"eidc","description":"Atmospheric Nitrogen Dioxide data from the UK Environmental Change Network (ECN) terrestrial sites. These data (weight of NO2) are collected by diffusion tubes at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records from 1993 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","identifier":"c770b7c2-8d52-454f-936c-2999338bdee7","incomingCitationCount":1,"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","E.","M.","A.","Y.","F.","L.","H.","I.","T."],"familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Eaton","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Eaton, E.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M."],"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Environmental Change Network","ILTER","LTER","air pollution","eutrophication","nitrogen dioxide"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsProject":["Environmental Change Network","ILTER","LTER"],"keywordsOther":["air pollution","eutrophication","nitrogen dioxide"],"licence":"Non-Open government licence","lineage":"Data are collected by diffusion tubes at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0002-4180-9338"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Environmental Change Network","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1435918956387","https://catalogue.ceh.ac.uk/id/c770b7c2-8d52-454f-936c-2999338bdee7","10.5285/c770b7c2-8d52-454f-936c-2999338bdee7"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"state":"published","supplementalName":["ECN Web Site"],"title":"UK Environmental Change Network (ECN) atmospheric nitrogen chemistry data: 1993-2012","version":1.0,"view":["public","phtr"],"shortenedDescription":"Atmospheric Nitrogen Dioxide data from the UK Environmental Change Network (ECN) terrestrial sites. These data (weight of NO2) are collected by diffusion tubes at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records..."},{"publicationDate":"2015-03-03T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","RSPB"],"authorGivenName":["S.A.","P.E."],"authorFamilyName":["Hinsley","Bellamy"],"authorFullName":["Hinsley, S.A.","Bellamy, P.E."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains first egg dates for great tits (Parus major) and blue tits (Cyanistes caeruleus) from Monks Wood, Brampton Wood and Wennington Wood in Cambridgeshire, England, over a 22 year period. The dataset runs from the breeding season in 1993 to the end of the breeding season in 2014. The first egg dates are presented as the number of days from the start date which was set as the 1st April each year. Because the timing of breeding of great tits and blue tits is influenced in large part by ambient temperature and the phenology of their main prey, the data were collected as a measure of spring phenology. These data comprise part of a larger long-term study of the influence of habitat (extent, structure and composition) and landscape factors on abundance, distribution and breeding success of woodland birds in English lowland deciduous woodland.","documentType":"GEMINI_DOCUMENT","identifier":"2024e114-6a7e-437d-b3a6-4929967eb1aa","incomingCitationCount":0,"givenName":["Shelley","S.A.","P.E."],"familyName":["Hinsley","Bellamy"],"fullName":["Hinsley, S.","Hinsley, S.A.","Bellamy, P.E."],"keyword":["Cambridgeshire","Monks Wood","Brampton Wood","Wennington Wood","Phenology","Cyanistes caeruleus","Parus major"],"keywordsPlace":["Cambridgeshire","Monks Wood","Brampton Wood","Wennington Wood"],"keywordsTheme":["Phenology"],"keywordsOther":["Cyanistes caeruleus","Parus major"],"licence":"Open government licence","lineage":"Field data collected by trained and experienced personnel. Egg dates have been checked against original paper records. Numbers of lines of data have been checked and data values have been checked for outliers. Individual egg date values have been checked against mean values per year for each site.","locations":["POLYGON((-0.283 52.31, -0.283 52.413, -0.165 52.413, -0.165 52.31, -0.283 52.31))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","RSPB","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2024e114-6a7e-437d-b3a6-4929967eb1aa","10.5285/2024e114-6a7e-437d-b3a6-4929967eb1aa"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"First egg dates for great tits (Parus major) and blue tits (Cyanistes caeruleus) breeding in three deciduous woods in Cambridgeshire, England in 1993 to 2014","topic":["0/Phenology/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset contains first egg dates for great tits (Parus major) and blue tits (Cyanistes caeruleus) from Monks Wood, Brampton Wood and Wennington Wood in Cambridgeshire, England, over a 22 year period. The dataset runs from the breeding season in 1993 to the end..."},{"publicationDate":"2019-04-18T00:00:00.000+00:00","altTitle":["CEH-GEAR1hr"],"authorAffiliation":["Newcastle University","University of Bristol","Centre for Ecology & Hydrology"],"authorGivenName":["E.","N.","S.","H.J.","J.","M.","O.","G.","P.","R."],"authorFamilyName":["Lewis","Quinn","Blenkinsop","Fowler","Freer","Tanguy","Hitt","Coxon","Bates","Woods"],"authorFullName":["Lewis, E.","Quinn, N.","Blenkinsop, S.","Fowler, H.J.","Freer, J.","Tanguy, M.","Hitt, O.","Coxon, G.","Bates, P.","Woods, R."],"authorOrcid":["https://orcid.org/0000-0002-7471-9988","https://orcid.org/0000-0003-0790-6545","https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0003-3100-4904","https://orcid.org/0000-0002-5732-5979"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/0524sp257","https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The dataset contains 1km gridded estimates of hourly rainfall for Great-Britain for the period 1990-2014. The estimates are derived by applying the nearest neighbour interpolation method to a national database of hourly raingauge observations collated by Newcastle University and the Centre for Ecology & Hydrology (CEH). These interpolated hourly estimates were then used to temporally disaggregate the CEH-GEAR daily rainfall dataset. The estimated rainfall on a given hour refers to the rainfall amount accumulated in the previous hour. \n \nThe dataset also contains data indicating the distance between the grid point and the closest recording raingauge used in its interpolation. When this distance is greater than 50km, or there is zero rainfall recorded in the closest gauge, the daily value is disaggregated using a design storm. The dataset therefore also contains a flag indicating if the design storm was used. These data are provided as an indicator of the quality of the estimates.","documentType":"GEMINI_DOCUMENT","identifier":"d4ddc781-25f3-423a-bba0-747cc82dc6fa","incomingCitationCount":6,"givenName":["Elizabeth","E.","N.","S.","H.J.","J.","M.","O.","G.","P.","R."],"familyName":["Lewis","Quinn","Blenkinsop","Fowler","Freer","Tanguy","Hitt","Coxon","Bates","Woods"],"fullName":["Lewis, E.","Quinn, N.","Blenkinsop, S.","Fowler, H.J.","Freer, J.","Tanguy, M.","Hitt, O.","Coxon, G.","Bates, P.","Woods, R."],"keyword":["Climate and climate change","Gridded estimates of areal rainfall (GEAR)","CEH-GEAR"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["Gridded estimates of areal rainfall (GEAR)","CEH-GEAR"],"licence":"Open government licence","lineage":"The hourly rainfall estimates are derived from the temporal disaggregation of the CEH-GEAR daily data using hourly gauge data. This methodology ensures that the daily totals of the CEH_GEAR daily and 1hr datasets are consistent. The hourly gauge data is from the Met Office, the England Environment Agency (EA), Natural Resources Wales (NRW) and the Scottish Environmental Protection Agency (SEPA). The CEH-GEAR daily data is derived from the Met Office national database of observed precipitation. The nearest neighbour interpolation methodology was used to generate the gridded hourly estimates which were subsequently used to disaggregate the daily data. \n \nA quality control protocol was established in order to identify and reject erroneous hourly values in the gauge rainfall input dataset. The quality control procedure is a three step process:\n1) The gauge data is compared to the gridded CEH-GEAR daily dataset to identify suspect gauges\n2) A series of quality control tests are applied to identify suspect values at all gauges which are marked with a quality control flag\n3) Combinations of quality control flags for a given hourly accumulation are used to determine which flagged data are treated as erroneous values and thus excluded from the gauge records.","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/0000-0002-7471-9988","https://orcid.org/0000-0003-0790-6545","https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0003-3100-4904","https://orcid.org/0000-0002-5732-5979"],"organisation":["Newcastle University","University of Bristol","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4ddc781-25f3-423a-bba0-747cc82dc6fa","10.5285/d4ddc781-25f3-423a-bba0-747cc82dc6fa"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/01kj2bm70","https://ror.org/0524sp257","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Gridded estimates of hourly areal rainfall for Great Britain (1990-2014) [CEH-GEAR1hr]","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"The dataset contains 1km gridded estimates of hourly rainfall for Great-Britain for the period 1990-2014. The estimates are derived by applying the nearest neighbour interpolation method to a national database of hourly raingauge observations collated by Newcastle University..."},{"publicationDate":"2015-09-25T00:00:00.000+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/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","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 2014. 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":"GEMINI_DOCUMENT","identifier":"f2856ee8-da6e-4b67-bedb-590520c77b3c","incomingCitationCount":6,"givenName":["Virginie","M.","H.","I.","D.G.","V.D.J."],"familyName":["Keller","Tanguy","Dixon","Prosdocimi","Morris"],"fullName":["Keller, V.","Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"keyword":["Great Britain","Northern Ireland","United Kingdom","Climate and climate change","Daily","monthly"],"keywordsPlace":["Great Britain","Northern Ireland","United Kingdom"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["Daily","monthly"],"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 availabe) 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 (1890-2012) only by temporal coverage.  That is, previous years' data have not been modified.","locations":["POLYGON((-8.2 49.1, -8.2 60.1, 1.8 60.1, 1.8 49.1, -8.2 49.1))"],"orcid":["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/f2856ee8-da6e-4b67-bedb-590520c77b3c","10.5285/f2856ee8-da6e-4b67-bedb-590520c77b3c"],"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 (1890-2014) [CEH-GEAR]","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","malngu","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 2014. The rainfall estimates are derived from the Met Office national database of..."},{"publicationDate":"2017-08-24T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["M.","C.","J."],"authorFamilyName":["Tanguy","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Fry, M.","Svensson, C.","Hannaford, J."],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by [1]. SPI is calculated for different accumulation periods: 1, 3, 6, 9, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1862 to 2015. \n\nThis release supersedes the previous version, doi:10.5285/ed7444fc-8c2a-473e-98cd-e68d3cffa2b0, as it addresses localised issues with the source data (Met Office monthly rainfall grids) for the period 1960 to 2000.\n\nIt also supersedes version 2 of the dataset with the same title (doi:10.5285/1b228b42-42f8-4aee-b964-2c92a21d5556). Version 2 contained incorrect files for SPI18 (duplicated SPI12 files). \n\nNOTE: the difference between this dataset with the previously published dataset 'Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]\" [2], apart from the temporal and spatial extent, is the underlying rainfall data from which SPI was calculated. In the previously published dataset, CEH-GEAR [3], [4] was used, whereas in this new version, Met Office 5km rainfall grids were used (see supporting information for more details). The methodology to calculate SPI is the same in the two datasets.\n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. \n[2] Tanguy, M.; Hannaford, J.; Barker, L.; Svensson, C.; Kral, F.; Fry, M. (2015). Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]. NERC Environmental Information Data Centre. https://doi.org/10.5285/94c9eaa3-a178-4de4-8905-dbfab03b69a0 \n[3] Keller, V. D. J., Tanguy, M., Prosdocimi, I., Terry, J. A., Hitt, O., Cole, S. J., Fry, M., Morris, D. G., and Dixon, H.: CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological use, Earth Syst. Sci. Data Discuss., 8, 83-112, doi:10.5194/essdd-8-83-2015, 2015. \n[4] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e","documentType":"GEMINI_DOCUMENT","identifier":"12c3a0d7-741c-4b1f-bfcb-f72ce5b43036","incomingCitationCount":0,"givenName":["Maliko","M.","C.","J."],"familyName":["Tanguy","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Fry, M.","Svensson, C.","Hannaford, J."],"keyword":["historic grid","rainfall extremes","drought indicator","SPI","Standard Precipitation Index","drought"],"keywordsOther":["historic grid","rainfall extremes","drought indicator","SPI","Standard Precipitation Index","drought"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases. To calculate SPI, the R package SCI was used [3], but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from the Met Office 5km gridded rainfall product. In this version of the dataset (version 2), the monthly rainfall grids from 1960 to 2000 was derived from the Met Office 5-km daily rainfall grids, to address some localised issues that were found in the Met Office monthly rainfall grids.\n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. \n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. doi: 10.1002/joc.4267\n[3] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf ","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/0000-0003-1142-4039","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0002-5256-3310"],"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/12c3a0d7-741c-4b1f-bfcb-f72ce5b43036","10.5285/12c3a0d7-741c-4b1f-bfcb-f72ce5b43036"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Historic Gridded Standardised Precipitation Index for the United Kingdom 1862-2015 (generated using gamma distribution with standard period 1961-2010) v3","version":3.0,"view":["public","nuri"],"shortenedDescription":"5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by [1]. SPI is calculated for different accumulation periods: 1, 3, 6, 9, 12, 18,..."},{"publicationDate":"2013-02-05T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["M.","S.","C.","F."],"authorFamilyName":["Newell","Harris","Wanless","Burthe","Bogdanova","Gunn","Daunt"],"authorFullName":["Newell, M.","Harris, M.","Wanless, S.","Burthe, S.","Bogdanova, M.","Gunn, C.","Daunt, F."],"authorOrcid":["https://orcid.org/0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains calculated breeding success rates for six seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual breeding success has been measured as the number of chicks fledged per active nest for the Atlantic puffin (Fratercula arctica, since 1982), common guillemot (Uria aalge, since 1982), razorbill (Alca torda, since 1982), European shag (Phalacrocorax aristotelis, since 1987), black-legged kittiwake (Rissa tridactyla, since 1987) and northern fulmar (Fulmarus glacialis, since 1987). The number of active nests recorded are also provided. Data were collected as part of the Isle of May long-term study (IMLOTS), which aims to identify the impact of environmental change on seabirds and their associated ecosystems. This monitoring has been ongoing since 1974, by essentially the same team of scientists, using the same well-documented methods throughout this time.","documentType":"GEMINI_DOCUMENT","identifier":"d38b609b-7bc1-4204-86dd-022375208d4f","incomingCitationCount":2,"givenName":["F.","M.","S.","C."],"familyName":["Daunt","Newell","Harris","Wanless","Burthe","Bogdanova","Gunn"],"fullName":["Daunt, F.","Newell, M.","Harris, M.","Wanless, S.","Burthe, S.","Bogdanova, M.","Gunn, C."],"keyword":["Scoland","Isle of May","Biodiversity","razorbill","black-legged kittiwake","northern fulmar","European shag","common guillemot","Atlantic puffin","bird","Fratercula arctica","Uria aalge","Alca torda","Phalacrocorax aristotelis","Fulmarus glacialis","Rissa tridactyla"],"keywordsPlace":["Scoland","Isle of May"],"keywordsTheme":["Biodiversity"],"keywordsOther":["razorbill","black-legged kittiwake","northern fulmar","European shag","common guillemot","Atlantic puffin","bird","Fratercula arctica","Uria aalge","Alca torda","Phalacrocorax aristotelis","Fulmarus glacialis","Rissa tridactyla"],"licence":"Non-Open government licence","lineage":"Data were collected by staff of the Institute for Terrestrial Ecology staff, led by Mike Harris, until 2000, when this organisation merged with several others to form the Centre for Ecology & Hydrology (CEH). The same research group has continued the work since then. For each species data were collected on numbers of active nests and numbers of succesfully fledged chicks from those nests. The data provided are the success rates for each species for each year, which are calculated as number of successful chicks divided by the number of breeding pairs. The full methodology is available in the contextual metadata, which can be found attached to this record. These data are quality checked by scientific staff as part of their preparation for presentation in annual reports to the Joint Nature Conservation Committee (JNCC), as part of the UK national Seabird Monitoring Programme network. 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