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An NH3 enhancement experiment along with a full suite of multi-height meteorological measurements was established in a tropical forest in central Sri Lanka. Under suitable wind conditions measured at the meteorological tower, NH3 is released towards two monitoring transects. Along the downwind monitoring transects, NH3 concentrations in the air are measured using monthly passive samplers. Deposition rates are modelled using a bi-directional resistance model based on measured NH3 concentrations in the air, micrometeorology and plant physiology. Additionally, NH3 concentrations were measured at high temporal resolution at a fixed downwind distance from the source to achieve the target enhancement concentrations.\n\nThe work was supported by UKRI GCRF South Asian Nitrogen Hub (Grant NE/S009019/1).","documentType":"GEMINI_DOCUMENT","familyName":["Deshpande","Jones","Mullinger","Harvey","Nicoll","van Dijk","Grenier","Toteva","Weerakoon","Nissanka","Prabhashwara"],"fullName":["Deshpande, A.G.","Jones, M.R.","Mullinger, N.J.","Harvey, D.","Nicoll, R.","van Dijk, N.","Grenier, M.","Toteva, G.","Weerakoon, B.","Nissanka, S.P.","Prabhashwara, T."],"funder":["Natural Environment Research Council"],"givenName":["A.G.","M.R.","N.J.","D.","R.","N.","M.","G.","B.","S.P.","T."],"grant":["NE/S009019/1"],"identifier":"998c2b2b-7470-42b0-81e7-409b91752377","incomingCitationCount":1,"keyword":["Sri Lanka","Queensberry","Climate and climate change","meteorology","enhancement","field release","resistance modelling","compensation point","tropical forest","ammonia","pollutant deposition"],"keywordsOther":["meteorology","enhancement","field release","resistance modelling","compensation point","tropical forest","ammonia","pollutant deposition"],"keywordsPlace":["Sri Lanka","Queensberry"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Meteorological parameters such as temperature, relative humidity, total solar radiation, photosynthetically active radiation, wind speed and wind direction were measured at four heights starting from the ground level to above-canopy. The measurements were made on a 12 m tall mast. Additionally, soil moisture, temperature and electric conductivity was measured at three depths. All instruments measured data every 20 seconds and the average was calculated over fifteen-minute intervals through a data logger. NH3 enhancement was conducted by releasing the gas from a pure anhydrous NH3 cylinder. A mass flow controller (MFC) released pre-programmed volume of NH3 under suitable wind conditions and the release volume and time is recorded on the datalogger at one-minute intervals. The meteorological and NH3 enhancement data was checked visually, and any obvious errors introduced by instrument malfunctioning, datalogger programming issues and power cuts were removed. NH3 concentrations were measured downwind of the source using UKCEH Adapted Low-cost Passive High Absorption (ALPHA) samplers and analysed monthly. NH3 concentrations not following the regular exponentially declining curve with distance from the source were removed. Monthly dry deposition of NH3 to different layers of the canopy was modelled using a bi-directional resistance model written in R. At a distance of 10 m downwind of the NH3 source, NH3 concentrations were measured using a Picarro high-resolution analyser at a frequency of 1 Hz and averaged over one-minute intervals. The analyser had inlets at four different heights to understand the vertical movement of the gas. The analyser was operated as a part of a measurement campaign. The data was checked visually and any obvious errors introduced by instrument malfunctioning, LabVIEW inlet switching programming issues and power cuts were removed. Gaps introduced during inlet switching were filled by linear interpolation.","locations":["POLYGON((80.59 6.968, 80.59 6.971, 80.592 6.971, 80.592 6.968, 80.59 6.968))"],"metadataDate":"2026-06-29T15:39:58.000Z","orcid":["https://orcid.org/0000-0002-2095-1271","https://orcid.org/0000-0002-3148-6950"],"organisation":["UK Centre for Ecology & Hydrology","University of Peradeniya","Dilmah Conservation","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/998c2b2b-7470-42b0-81e7-409b91752377","10.5285/998c2b2b-7470-42b0-81e7-409b91752377","doi:10.5285/998c2b2b-7470-42b0-81e7-409b91752377"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/025h79t26","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about meteorological conditions and ammonia concentration and deposition rates resulting from an experimental setup. An NH3 enhancement experiment along with a full suite of multi-height meteorological measurements was established in…","state":"published","title":"Meteorological data and ammonia concentration and deposition rates from an ammonia enhancement experiment site, Queensberry, Sri Lanka, 2022","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr"],"authorFullName":["Jones, I.","Feuchtmayr, H."],"authorGivenName":["I.","H."],"authorOrcid":["https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly air temperature and wind speed data from a meteorological station sited on top of a boat house, located in Cumbria, England, next to Esthwaite Water.  Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr"],"fullName":["Jones, I.","Feuchtmayr, H."],"givenName":["Ian","I.","H."],"identifier":"9411b86e-7f43-4249-b3c2-f5adb04447cb","incomingCitationCount":0,"keyword":["Lake District ","England","Esthwaite Water","Environmental survey","meteorological parameter"],"keywordsOther":["meteorological parameter"],"keywordsPlace":["Lake District ","England","Esthwaite Water"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data from the meteorological station next to Esthwaite Water are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2008 to 2011. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-2.999 54.346, -2.999 54.373, -2.972 54.373, -2.972 54.346, -2.999 54.346))"],"metadataDate":"2026-06-29T16:07:50.000Z","orcid":["https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0002-2028-4843"],"organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology"],"publicationDate":"2017-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9411b86e-7f43-4249-b3c2-f5adb04447cb","10.5285/9411b86e-7f43-4249-b3c2-f5adb04447cb","doi:10.5285/9411b86e-7f43-4249-b3c2-f5adb04447cb"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This dataset consists of hourly air temperature and wind speed data from a meteorological station sited on top of a boat house, located in Cumbria, England, next to Esthwaite Water.  Measurements were taken every 4 minutes and calculated as hourly averages. The data…","state":"published","title":"Data from meteorological station next to Esthwaite Water,  2008 to 2011","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Brooks","Winterbourn","Harvey","Robinson","Emmett"],"authorFullName":["Reinsch, S.","Brooks, M.R.","Winterbourn, J.B.","Harvey, R.J.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["S.","M.R.","J.B.","R.J.","D.A.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres) and soil moisture as metre cubed per metre cubed. The data run from 01/07/2015 until 31/08/2016. Data were recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January 2016 data were averaged half hourly. Data are then to averaged to daily values, which are reported here. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20 to 30 years. The reported plot level temperature and soil moisture data are important to evaluate the effect of the imposed climatic treatments on ecosystem processes and functioning. Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Data collection, processing and quality checking were carried out by CEH Bangor staff members.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Brooks","Winterbourn","Harvey","Robinson","Emmett"],"fullName":["Reinsch, S.","Brooks, M.R.","Winterbourn, J.B.","Harvey, R.J.","Robinson, D.A.","Emmett, B.A."],"givenName":["S.","M.R.","J.B.","R.J.","D.A.","B.A.","Sabine"],"identifier":"54de61a1-8749-4851-a1c0-c71f9d483c7d","incomingCitationCount":0,"keyword":["Clocaenog","Climate and climate change","heathland","meteorology"],"keywordsOther":["heathland","meteorology"],"keywordsPlace":["Clocaenog"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January  2016 data were averaged half hourly. The hourly or half hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry.This dataset combines daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Soil and air temperatures are measured with a T107 sensor from Campbell scientific. Soil moisture is measured with CS616 sensors from Campbell scientific.  Daily average values were downloaded to csv files for ingestion to the Environmental Information Data Centre.\n\nData were collected from the climate change field site Climoor which is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season. Warming roofs were in operation from 1st April 2014 - 19th November 2015 and were started again on 6th April 2016. Drought roofs were in operation 7th April - 23rd September 2015. The drought roofs were not in operation in 2016.\n","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-06-29T17:12:33.000Z","orcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2016-10-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54de61a1-8749-4851-a1c0-c71f9d483c7d","10.5285/54de61a1-8749-4851-a1c0-c71f9d483c7d","doi:10.5285/54de61a1-8749-4851-a1c0-c71f9d483c7d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres)…","state":"published","title":"Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2015-2016","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Robinson"],"authorFullName":["Robinson, S."],"authorGivenName":["S."],"authorOrcid":["https://orcid.org/0000-0002-7365-8423"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes environmental conditions at 135 Saiga antelope calving sites  (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated with haemorrhagic septicaemia in the literature, including humidity, temperature and precipitation.  Indicators of vegetation biomass, phenology and length of the winter preceding calving were represented using the Normalised Difference Vegetation Index (NDVI), snow depth and snow presence data. \n\nSaiga antelope are susceptible to mass mortality events (MME), the most severe of which are caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense aggregations. As the bacteria is a commensal organism, which may live harmlessly in the respiratory tract of the saiga, it is believed that an environmental trigger is involved in a shift to virulence in the pathogen or reduction in immune-competence in the host.\n\nThe attached data show environmental conditions at a set of calving sites of the Betpak-dala population of saigas. This population, one of three in Kazakhstan, is located in the central provinces of the country and is the only one in which massive haemorrhagic septicaemia outbreaks have been recorded. At most of the recorded sites, calving progressed normally, whilst at others mass mortality events occurred during calving or just afterwards, namely in 1981, 1988 and 2015. A set of environmental predictor variables was used to model the probability of an MME at calving aggregations. The dataset, modelling process and results are described in Kock et al. (2018): http://advances.sciencemag.org/content/4/1/eaao2314  \n\nA related shapefile of the full set of 214 sites, and metadata concerning site characteristics and the provenance of the location data is available at:\nhttps://catalogue.ceh.ac.uk/id/8ad12782-e939-4834-830a-c89e503a298b\n\nThe attached dataset and site metadata in the above-mentioned Shapefile attribute table can be combined using the variable ID in order to merge the environmental data with information on the calving and MME sites.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson"],"fullName":["Robinson, S."],"funder":["Natural Environment Research Council","Association for the Conservation of Biodiversity of the Republic of Kazakhstan","Flora and Fauna International, Cambridge, UK","People's Trust for Endangered Species","Frankfurt Zoological Society","The Saiga Conservation Alliance, UK"],"givenName":["Sara","S."],"grant":["NE/N007646/1"],"identifier":"912ea336-ac90-418f-be6a-7ae226e167e9","incomingCitationCount":0,"keyword":["Kazakhstan","Phenology","Environmental variables","Saiga antelope"],"keywordsOther":["Environmental variables","Saiga antelope"],"keywordsPlace":["Kazakhstan"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"Given the large geographic scale of the study, range of variables to be covered, long time series coverage and high resolution, the daily ERA-Interim reanalysis dataset, produced at the European Centre for Medium-Range Weather Forecasts (ECMWF), was selected as a source of climate data (Dee et al., 2011). Daily aggregates (means, maxima, minima, or totals) were generated from raw 3 or 6 hourly data for temperature, dew point temperature, soil moisture, snow depth, maximum wind gust and precipitation.  Due to uncertainties in precipitation data from this source, interpolated gauge-based products from the Global Precipitation Climatology Centre (GPCC), which are independent of ERA data, were also used, although these were available only from 1988 onwards (Schamm et al., 2014). \n\nAbsolute NDVI values at calving/MME sites were obtained using a dataset of 7 day filtered and smoothed MODIS NDVI products from the University of Natural Resources and Life Sciences, Vienna (Vuolo et al., 2012). These data are included in the attached dataset but were not used in final models, they cover the period 2001-2016 and cover a subset of 94 sites.\n\nNDVI anomaly data based on SPOT and PROBA-V data were supplied by the Université Catholique de Louvain-LifeWatch Wallonia-Brussels (WB) project (Radoux et al., 2015). Snow anomaly data (unusual values at the date of observation compared to mean probability of snow presence) were used to look for unusual variation in winter (e.g. winter length, severity, sudden cold shocks) and were derived by LifeWatch WB from filtered MODIS data (Rousseau et al., 2015). These datasets cover periods from 1998-2016 and 2000-2016 respectively and thus include only 2015 MME sites and a set of controls - covering a subset of 96 & 95 sites. ","locations":["POLYGON((60.392 45.165, 60.392 51.282, 76.324 51.282, 76.324 45.165, 60.392 45.165))"],"metadataDate":"2026-06-29T15:42:59.000Z","orcid":["https://orcid.org/0000-0002-7365-8423"],"organisation":["University of Oxford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/912ea336-ac90-418f-be6a-7ae226e167e9","10.5285/912ea336-ac90-418f-be6a-7ae226e167e9","doi:10.5285/912ea336-ac90-418f-be6a-7ae226e167e9"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes environmental conditions at 135 Saiga antelope calving sites  (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated…","state":"published","supplementalDescription":["Kock, R. A., Orynbayev, M., Robinson, S., Zuther, S., Singh, N. J., Beauvais, W., ... Milner-Gulland, E. J. (2018). Saigas on the brink: Multidisciplinary analysis of the factors influencing mass mortality events. Science Advances, 4(1), eaao2314. "],"title":"Environmental conditions at saiga calving and die-off sites in Kazakhstan, 1979 to 2016","topic":["0/Phenology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","ARG UK","Froglife","University of Leicester","University of Kent","ARC Trust","Herpetologic Ltd","Deakin University"],"authorFamilyName":["Gardner","Julian","Tse-Leon","Petrovskii","Monk","Allain","Bradley","Cartwright","Cranfield","Gent","Madsen","Reading","Wilkinson","Baker","Dyason","Mawby","Pywell","Bullock"],"authorFullName":["Gardner, E.","Julian, A.","Tse-Leon, J.","Petrovskii, S.","Monk, C.","Allain, S.J.R.","Bradley, V.","Cartwright, M.","Cranfield, J.","Gent, T.","Madsen, T.","Reading, C.","Wilkinson, J.","Baker, J.","Dyason, S.","Mawby, A.","Pywell, R.F.","Bullock, J.M."],"authorGivenName":["E.","A.","J.","S.","C.","S.J.R.","V.","M.","T.","R.F.","J.M."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04h699437","https://ror.org/00xkeyj56","https://ror.org/02czsnj07"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","R script"],"description":"Amph4pop is a process-based model, written in R, that simulates the foraging, dispersal and population processes of amphibians. It accounts for amount and configuration of habitat resources to predict spatially-explicit relative abundance and foraging rates, for a given input landscape. It can also optionally incorporate road mortality effects for a single breeding population located in the centre of the input landscape. The input landcover information must be in raster format. The model can ingest a base landcover raster as well as edgecover rasters, which represent the locations of small landcover features that occupy only a fraction of a pixel. It requires road classes (assumed to relate to traffic frequency) to be distinguished in the input rasters, if road mortality effects are to be simulated. Model outputs are raster stacks with the same spatial extent and resolution as the input landcover raster. \n\nThe amph4pop model was co-developed by the UK Centre for Ecology & Hydrology, the Amphibian and Reptile Groups of the UK, and Froglife. It has been parameterised for one UK amphibian species (common toad; Bufo bufo). These parameter files (amph_guild_params.csv and amph_habitat_params.csv) are included. The model’s predictions have been validated against observations of toad habitat use reported by volunteer Toad Patrols across Great Britain, who are supported by Froglife through their Toads on Roads Project.\n\nData in amph_guild_params.csv includes typical movement ranges (adult foraging range around the breeding pond in meters), population growth parameters (maximum clutch size, maximum tadpole density, growth parameters in arbitrary units) and survival parameters (fraction of tadpoles surviving to metamorphosis, metamorph survival to breeding age probability, adult female yearly survival probability, mortality probability on UK motorway, mortality probability on UK urban A road, mortality probability on UK rural A road, mortality probability on UK urban minor road, mortality probability on UK rural minor road) for common toad, used in the amph4pop model. \n\nData in amph_habitat_params consists of scores representing the relative suitability as an aquatic breeding habitat (on a scale from 0-1, where 0 = none and 1 = very high) and the relative availability of foraging resources (on a scale from 0-5, where 0 = none and 5 = very high) for common toad and the 78 landcover classes, used in the amph4pop model. Given scores are the mean values across n contributing experts. The data also include the number of contributing experts, the standard error on the mean score, and the alpha and beta values that describe a beta distribution consistent with the measured mean and variance for each score.\n\nThis model is intended to help support understanding of how amphibians might be using landscapes. No decisions should ever be made solely on the basis of this model’s predictions – on-the-ground ecological surveys and integration of local knowledge are always required before any landscape-level or site-level decisions are made, due to real-life amphibian activity levels potentially differing from predicted levels. Users are recommended to get in touch with the model developers to ensure they have the most up-to-date version of the code and to receive support on model use and interpretation.","documentType":"GEMINI_DOCUMENT","familyName":["Gardner","Julian","Tse-Leon","Petrovskii","Monk","Allain","Bradley","Cartwright","Cranfield","Gent","Madsen","Reading","Wilkinson","Baker","Dyason","Mawby","Pywell","Bullock"],"fullName":["Gardner, E.","Julian, A.","Tse-Leon, J.","Petrovskii, S.","Monk, C.","Allain, S.J.R.","Bradley, V.","Cartwright, M.","Cranfield, J.","Gent, T.","Madsen, T.","Reading, C.","Wilkinson, J.","Baker, J.","Dyason, S.","Mawby, A.","Pywell, R.F.","Bullock, J.M."],"funder":["Natural Environment Research Council"],"givenName":["E.","A.","J.","S.","C.","S.J.R.","V.","M.","T.","R.F.","J.M."],"grant":["NE/V007831/1"],"identifier":"579dde20-47ae-4e32-ad24-037fadd8da25","incomingCitationCount":0,"keyword":["Animal behaviour","process based model","spatially explicit","foraging behavior","dispersal","population","breeding resources","habitat use","visitation rates","population size","population distribution","relative abundance","amphibians","common toad","Bufo bufo","population growth and mortality"],"keywordsOther":["process based model","spatially explicit","foraging behavior","dispersal","population","breeding resources","habitat use","visitation rates","population size","population distribution","relative abundance","amphibians","common toad","Bufo bufo","population growth and mortality"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Amph4pop model code was developed from the poll4pop model (Gardner, et al., 2020; Yclough, 2020). It contains functions that are identical to those used in the poll4pop model, functions that are adapted from functions used in the poll4pop model, and new functions. \n\nData in amph_guild_params.csv is derived from literature data, with subsequent processing to convert units and calculate road mortality probabilities from published relationships with traffic frequency and UK Government traffic flow statistics. The growth parameters are set by selecting the values that produce sustainable populations (when traffic effects are included) across the maximum achievable number of populations used to validate the model (~60 out of 70 populations spread across Great Britain). \n\nData in amph_habitat_params is derived from an expert opinion questionnaire completed by ten individuals with research and/or survey experience of this taxon. The mean scores and their standard error are weighted according to the self-reported certainty scores that experts gave alongside their habitat resource scores.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T13:58:11.000Z","organisation":["UK Centre for Ecology & Hydrology","ARG UK","Froglife","University of Leicester","University of Kent","ARC Trust","Herpetologic Ltd","Deakin University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-04T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/579dde20-47ae-4e32-ad24-037fadd8da25","10.5285/579dde20-47ae-4e32-ad24-037fadd8da25","doi:10.5285/579dde20-47ae-4e32-ad24-037fadd8da25"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04h699437","https://ror.org/00xkeyj56","https://ror.org/02czsnj07","https://ror.org/04xw4m193"],"shortenedDescription":"Amph4pop is a process-based model, written in R, that simulates the foraging, dispersal and population processes of amphibians. It accounts for amount and configuration of habitat resources to predict spatially-explicit relative abundance and foraging rates, for a given…","state":"published","supplementalDescription":["Gardner E, Breeze TD, Clough Y, et al. Reliably predicting pollinator abundance: Challenges of calibrating process-based ecological models. Methods Ecol. Evol. 2020; 11: 1673–1689. https://doi.org/10.1111/2041-210X.13483","yclough. (2020). yclough/poll4pop: Gardner_etal_MEE (v1.1.1). Zenodo. https://doi.org/10.5281/zenodo.4001015"],"supplementalName":["Poll4Pop model publication","Poll4pop dataset publication"],"title":"Amph4pop model for the simulation of foraging, dispersal and population processes of UK amphibians","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","jashun"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Chemical analysis of stream, river and rainfall samples for lowland rivers in the UK. The data are uncensored and provide a basis for research purposes, and must be viewed in this light. Information on analytical methodologies is available, including detection limits, from which the user can choose how the data might be interpreted. The basins studied were the Tweed, Wear, Humber, Great Ouse and Thames. One tributary (the Teviot) and two main-stem sites were monitored in the Tweed Catchment. One site around two-thirds down the catchment of the River Wear was monitored. Humber Basin Monitoring was undertaken for all the tributaries especially near their downstream limits. The Great Ouse was monitored around half way down the catchment. The Thames catchment was monitored upstream and downstream of sewage inputs to the river, prior and post effluent stripping of phosphorus. This work formed part of a major UK initiative introduced in the early 1990s, the Land Ocean Interaction Study, LOIS, to examine water, chemical and sediment fluxes from the eastern UK rivers to the North Sea. The entire LOIS core monitoring data, including a wider range of determinands, is available from EIDC. As part of this and subsequent work, the initiative was extended to examine a range of catchment basins, from rural to agricultural and industrial/urban impacted ones. ","documentType":"GEMINI_DOCUMENT","identifier":"8e23a86b-6b54-4564-9789-23f4b4e045ea","incomingCitationCount":0,"keyword":["United Kingdom","Water quality","Analytical chemistry","Hydrochemistry"],"keywordsOther":["Analytical chemistry","Hydrochemistry"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Water quality"],"licence":"Non-Open government licence","lineage":"Water quality was monitored for eastern UK rivers (Tweed and Humber) as part of the Land Ocean Interaction Study, LOIS, in the early 1990s. Subsequently, the monitoring was transferred to the Wear, Great Ouse and most extensively to the Thames Basin and for the latter, rainfall was also measured . The chemical analysis undertaken within the LOIS programme was undertaken within CEH laboratories at Wallingford (then Institute of Hydrology), Ferry House (Institute of Freshwater Ecology, Windermere) and associated CEH laboratories at York and Stirling. The later analysis was undertaken by the CEH Wallingford Laboratories with phosphorus data for the Wear was measured in collaboration with Professor Brian Whitton at the University of Durham. All data collated by Colin Neal of CEH Wallingford","locations":["POLYGON((-13.41 49.16, -13.41 60.85, 1.77 60.85, 1.77 49.16, -13.41 49.16))"],"metadataDate":"2026-06-27T11:06:57.000Z","organisation":["NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2010-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1293030018470","CEH:EIDC::1293030018470","https://catalogue.ceh.ac.uk/id/8e23a86b-6b54-4564-9789-23f4b4e045ea"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"Chemical analysis of stream, river and rainfall samples for lowland rivers in the UK. The data are uncensored and provide a basis for research purposes, and must be viewed in this light. Information on analytical methodologies is available, including detection limits,…","state":"published","supplementalDescription":["Neal, C., Bowes, M., Jarvie, H. P., Scholefield, P., Leeks, G., Neal, M., Rowland, P., Wickham, H., Harman, S., Armstrong, L., Sleep, D., Lawlor, A. and Davies, C. E. (2012), Lowland river water quality: a new UK data resource for process and environmental management analysis. Hydrol. Process., 26: 949-960.","Colin Neal, Phil Rowland, Paul Scholefield, Colin Vincent, Clive Woods, Darren Sleep, The Ribble/Wyre observatory: Major, minor and trace elements in rivers draining from rural headwaters to the heartlands of the NW England historic industrial base, Science of The Total Environment, Volume 409, Issue 8, 15 March 2011, Pages 1516-1529, ISSN 0048-9697."],"title":"UK lowland river chemistry","topic":["0/Water quality/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Continuous measurements of meteorological parameters from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2006. Automatic weather stations were installed at 7 sites in these catchments to record hourly values of soil heat flux, relative humidity, atmospheric pressure, solar and net radiation (upward and downward short and long wave), rainfall, soil temperature at 10 and 30 cm, air temperature and wind direction and speed for differing periods at the varying sites. The instruments were installed as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline metrological data across the LOCAR catchments.","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"fullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"givenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"identifier":"d55a6607-7da7-4b6e-8b28-f5fbd63884a9","incomingCitationCount":0,"keyword":["The Lowland Catchment Research Programme (LOCAR)","meteorology"],"keywordsOther":["meteorology"],"keywordsProject":["The Lowland Catchment Research Programme (LOCAR)"],"licence":"Open government licence","lineage":"The automatic weather stations were programmed to routinely take all the readings for the various variables on an hourly basis and store them on the connected logger. The Catchment Service Team in each catchment was responsible for installing, maintaining and downloading the loggers at each site on a regular basis. The data are raw and have not been quality controlled.","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"metadataDate":"2026-06-29T17:27:10.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1426781518693","CEH:EIDC::1426781518693","https://catalogue.ceh.ac.uk/id/d55a6607-7da7-4b6e-8b28-f5fbd63884a9","10.5285/d55a6607-7da7-4b6e-8b28-f5fbd63884a9","doi:10.5285/d55a6607-7da7-4b6e-8b28-f5fbd63884a9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Continuous measurements of meteorological parameters from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2006. Automatic weather stations were installed at 7 sites in these catchments to record hourly values of soil heat flux, relative…","state":"published","title":"Continuous measurements of meteorological parameters (2002-2006) [LOCAR]","version":1.0,"view":["public","cit"]},{"authorAffiliation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University"],"authorFamilyName":["Mugabo","Gilljam","Petteway","Yuan","Fowler","Sait"],"authorFullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"authorGivenName":["M. ","D.","L.","C.","M. S.","S. M"],"authorOrcid":["https://orcid.org/0000-0002-2346-2617","https://orcid.org/0000-0003-1544-0407"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on population counts in experimental populations of Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst).\n\nThe data was collected from a multi-generation microcosm experiment carried out to characterise the combined effects of daily stochastic temperature fluctuations and resource degradation on population responses in the Plodia-Venturia host-parasitoid trophic interaction. The population count data include the weekly total numbers of dead adult hosts and parasitoids and the numbers of live early (L1-L3) and late (L4-L5) host instars and of host and parasitoid pupae in half sections of diet removed weekly and replaced by fresh diet (half sections are a 12th of experimental population boxes). The temperature time series data include the date and daily temperature in the fluctuating temperatures treatment.","documentType":"GEMINI_DOCUMENT","familyName":["Mugabo","Gilljam","Petteway","Yuan","Fowler","Sait"],"fullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"givenName":["M. ","D.","L.","C.","M. S.","S. M","Marianne"],"identifier":"54b722a7-7cda-4817-86a5-b96ad0bb4ae7","incomingCitationCount":1,"keyword":["Animal behaviour","Venturia canescens","Plodia interpunctella","parasite","Indianmeal Moth"],"keywordsOther":["Venturia canescens","Plodia interpunctella","parasite","Indianmeal Moth"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The Plodia-Venturia microcosm experiment used hosts from laboratory stock cultures and parasitoids from a laboratory parthenogenetic thelytokous (asexual) strain, which were kept on non-degraded host resource at constant 28 deg C in incubators with a 16:8h light cycle. Daily temperature variation and host resource degradation (also referred as 'diet' in datasets) were manipulated in a full factorial design. Two temperature treatments in each resource degradation treatment were compared. Both temperature treatments were characterized by a mean temperature of 26°C, which did not vary in the constant ('CST') treatment and varied randomly between 22.3 and 30.2°C every 24h in the variable (‘VAR’) treatment (26°C ± 1.5°C SD, AR(1) = 0.02, 95% CI [-0.10, 0.14].\n\nA  gradient of resource degradation was created from none to high by replacing 0, 25, 50 and 75 % of wheat germ in the host’s diet with methyl cellulose, an indigestible bulking agent with no nutritional value. The microcosm experiment started on day 1 of the temperature time series and was carried out for 262 days.\n\nThree replicates of 'host alone' (Pi) and 'host-parasitoid' (PiVc) microcosms were set up in each temperature by resource treatment, giving a total of 48 (3 × 2 × 2 × 4) microcosms. Each microcosm was established with fifteen male and fifteen female fifth instar larvae randomly selected from host stock cultures in 175 x 116 x 60 mm plastic containers filled with 83 grammes of the assigned resource. All microcosms were kept at constant 26°C until all 30 host larvae had pupated, after which they were maintained under their assigned temperature treatment (week 1 of the experiment). Microcosms were left undisturbed until adult hosts emerged, mated and the first cohort of their offspring had reached the adult stage on week 8. Thereafter, for the remainder of the experiment, one sixth of the resource was replenished sequentially during weekly monitoring by replacing the oldest section with fresh resource of the same treatment. In PiVc microcosms, the second host cohort was left to develop until fourth and fifth instars were present in all treatments (on week 13). Two newly emerged adult parasitoids randomly selected from stock cultures were then added to each microcosm. Each week from week 9 to 37, dead adults were removed from each microcosm and counted, giving a measure of live host and parasitoid abundance from the previous week. Host early (L1-L3) and late (L4-L5) instars and pupae and parasitoid pupae were counted in half of each section of old diet (half section a or b) removed weekly from microcosms (counted in a 12th of each experimental population boxe). More details of the material and methods can be found in the Supplementary information.","metadataDate":"2026-06-29T16:16:03.000Z","orcid":["https://orcid.org/0000-0002-2346-2617","https://orcid.org/0000-0003-1544-0407"],"organisation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54b722a7-7cda-4817-86a5-b96ad0bb4ae7","10.5285/54b722a7-7cda-4817-86a5-b96ad0bb4ae7","doi:10.5285/54b722a7-7cda-4817-86a5-b96ad0bb4ae7"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on population counts in experimental populations of Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst).\n\nThe data was collected from a multi-generation microcosm experiment…","state":"published","title":"Population count data from a resource degradation and temperature variation population dynamics experiment in the Plodia-Venturia host-parasitoid interaction","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Umeå University","Loughborough University","M.Johnson@nottingham.ac.uk","Politecnico di Torino"],"authorFamilyName":["Mason","Rice","Johnson","Wood","Vettori"],"authorFullName":["Mason, R.J.","Rice, S.P.","Johnson, M.F.","Wood, P.J.","Vettori, D."],"authorGivenName":["R.J.","S.P.","M.F.","P.J.","D."],"authorOrcid":["https://orcid.org/0000-0002-4571-7393","https://orcid.org/0000-0003-0737-9845","https://orcid.org/0000-0003-1336-5490","https://orcid.org/0000-0003-4629-3163","https://orcid.org/0000-0001-5121-4197"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise resistance of aquatic bioconstructions (Trichoptera cases), and the loose sediment they were built from, to hydraulic forces measured in a hydraulic flume.\n\nS1_Velocimetry_data contains the output after post-processing the acoustic Doppler velocimetry data for each flow stage. This includes the mean and SD of velocity (m/s) for each direction (U – downstream, V – vertical and W- cross stream), the quality of the data recorded by the ADV (Signal to noise ratio and correlation) and calculated values of turbulent kinetic energy and bed shear stress. An explanation of each variable and units are included in the file.\nS2_Case-grain-size-distribution_data contains the grain size distributions for each caddisfly case obtained by sieving the case sediment. Includes the mass of sediment in half phi size intervals from 0.063 mm to 8 mm diameter. An explanation of each variable and units are included in the file.\n\nS3_Entrainment_data contains the percentage of sediment entrained during each flow stage (1-11). Percentage of sediment measured using photography of sediment remaining on the measurement platform. An explanation of each variable and units are included in the file.\n\nS4_Case-and-entrainment-threshold_data contains the caddisfly case characteristics (mass and a,b&c axes), critical entrainment thresholds and general movement data for each case and loose sediment. An explanation of each variable and units are included in the file.","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Rice","Johnson","Wood","Vettori"],"fullName":["Mason, R.J.","Rice, S.P.","Johnson, M.F.","Wood, P.J.","Vettori, D."],"givenName":["R.J.","S.P.","M.F.","P.J.","D."],"identifier":"cce26277-0b17-4c25-aa08-dd1486f89d9b","incomingCitationCount":1,"keyword":["Ecosystem engineering","Fine sediment","Fluvial geomorphology","Zoogeomorphology","Biogeomorphology","Trichoptera","caddisfly","Sericostoma personatum","Potamophylax latipennis","Agapetus fuscipes","insect","sediment","aquatic ecology","geomorphology","biological engineering"],"keywordsOther":["Ecosystem engineering","Fine sediment","Fluvial geomorphology","Zoogeomorphology","Biogeomorphology","Trichoptera","caddisfly","Sericostoma personatum","Potamophylax latipennis","Agapetus fuscipes","insect","sediment","aquatic ecology","geomorphology","biological engineering"],"licence":"Open government licence","lineage":"We undertook a hydraulic flume experiment to quantify the effect of caddisfly case construction on sediment transport in rivers. The cases of three species were considered; two that construct different styles of tubular case (Potamophylax latipennis and Sericostoma personatum) and one that builds a domed case (Agapetus fuscipes). We compare the bed shear stress required to transport (1) empty caddisfly cases and (2) individual sediment particles following disaggregation from the case. Cases and sediment were placed in the centre of the flume and hydraulic force increased through 11 flow stages. The amount of sediment eroded at each flow stage was measured using analysis of photographs taken at each stage. Flume experiments were conducted between 20th August and 20th September 2019 and caddisfly collected on 17th June and 18th August 2019.","locations":["POLYGON((-1.242 52.763, -1.242 52.776, -1.299 52.776, -1.299 52.763, -1.242 52.763))"],"metadataDate":"2026-06-29T17:03:46.000Z","orcid":["https://orcid.org/0000-0002-4571-7393","https://orcid.org/0000-0003-0737-9845","https://orcid.org/0000-0003-1336-5490","https://orcid.org/0000-0003-4629-3163","https://orcid.org/0000-0001-5121-4197"],"organisation":["Umeå University","Loughborough University","M.Johnson@nottingham.ac.uk","Politecnico di Torino","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cce26277-0b17-4c25-aa08-dd1486f89d9b","10.5285/cce26277-0b17-4c25-aa08-dd1486f89d9b","doi:10.5285/cce26277-0b17-4c25-aa08-dd1486f89d9b"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise resistance of aquatic bioconstructions (Trichoptera cases), and the loose sediment they were built from, to hydraulic forces measured in a hydraulic flume.\n\nS1_Velocimetry_data contains the output after post-processing the acoustic Doppler velocimetry…","state":"published","supplementalDescription":["The zoogeomorphology of case‐building caddisfly: Quantifying sediment use. Richard J. Mason, Stephen P. Rice, Paul J. Wood, Matthew F. Johnson. 2019. Earth Surface Processes and Landforms. 44. 10.1002/esp.4670. ","Invertebrate zoogeomorphology: A review and conceptual framework for rivers. Richard J. Mason, Harry Sanders. 2021. "],"title":"Hydraulic mobility of aquatic insect (Trichoptera) bioconstructions and incorporated sediments","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Brown","Bunce","Carey","Chandler","Clarke","Crowe","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"authorFullName":["Barr, C.J.","Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Clarke, R.T.","Crowe, A.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","M.J.","R.G.H.","P.D.","K.","R. T.","A.","M.K.","D.C.","L.C.","M. J.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"authorOrcid":["https://orcid.org/0000-0002-5651-2828","https://orcid.org/0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 1998, between 1990 and 2007, and between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling up to a national level. The data are summarized as change in habitat area per Land Class (areas of similar environmental characteristics). The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978 by the Centre for Ecology & Hydrology. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Brown","Bunce","Carey","Chandler","Clarke","Crowe","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"fullName":["Barr, C.J.","Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Clarke, R.T.","Crowe, A.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","M.J.","R.G.H.","P.D.","K.","R. T.","A.","M.K.","D.C.","L.C.","M. J.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M.","Claire"],"identifier":"7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","incomingCitationCount":0,"keyword":["Land cover","Broad Habitats","Countryside Survey"],"keywordsOther":["Broad Habitats","Countryside Survey"],"keywordsTheme":["Land cover"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1990 and 1998/1999 by surveyors. In the summer of 2007, the data were recorded using electronic data capture devices. Data were recorded from 508 1km squares (1990), 569 1km squares (1998/1999) and 591 1km squares (2007) sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats from 1990 and 1998/1999 were digitized in 2000. The digitized data were used to generate national estimates of the change in Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:47:37.000Z","orcid":["https://orcid.org/0000-0002-5651-2828","https://orcid.org/0000-0003-4006-7755"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2014-12-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1385545417246","CEH:EIDC::1385545417246","https://catalogue.ceh.ac.uk/id/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","10.5285/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","doi:10.5285/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 1998, between 1990 and 2007, and between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling…","state":"published","title":"Countryside Survey estimates of Broad Habitat area change in Great Britain between 1990,1998 and 2007","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for each 1km pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\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","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W."],"grant":["NE/R016429/1"],"identifier":"f5e3bd00-efd0-4dc6-a454-aa597d84764a","incomingCitationCount":1,"keyword":["Land cover","Land use","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Land use","Mapping"],"licence":"Non-Open government licence","lineage":"The 1km dominant cover target class is produced from the 1km percentage cover target class product. The 1km percentage cover data is used to identify the highest percentage cover across the 21 bands and a script is used to identify which band the maximum value coincides with.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T15:36:30.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-10-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5e3bd00-efd0-4dc6-a454-aa597d84764a","10.5285/f5e3bd00-efd0-4dc6-a454-aa597d84764a","doi:10.5285/f5e3bd00-efd0-4dc6-a454-aa597d84764a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for…","state":"published","title":"Land Cover Map 1990 (1km dominant target class, GB) v2","topic":["0/Land cover/","0/Land use/","0/Mapping/"],"version":2.0,"view":["public","clamw"]},{"authorAffiliation":["University of Edinburgh","University of Exeter","University of Sheffield","University of Sussex"],"authorFamilyName":["Williams","Estop-Aragones","Fisher","Murton","Phoenix","Hartley"],"authorFullName":["Williams, M.","Estop-Aragones, C.","Fisher, J.P.","Murton, J.B.","Phoenix, G.K.","Hartley, I.P."],"authorGivenName":["Mathew","C.","J.P.","J.B.","G.K.","I.P."],"authorOrcid":["https://orcid.org/0000-0001-6117-5208"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/00ayhx656"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains a stratified survey of ecological and soil states at sites where fine scale patterns of covariation between vegetation and edaphic characteristics were recorded. Key data collection included leaf area index, moss and organic matter thickness, surface and deeper soil moisture. \n\nData were collected at sites in the Yukon (2013) and Northwest Territories (2014), Canada.","documentType":"GEMINI_DOCUMENT","familyName":["Williams","Estop-Aragones","Fisher","Murton","Phoenix","Hartley"],"fullName":["Williams, M.","Estop-Aragones, C.","Fisher, J.P.","Murton, J.B.","Phoenix, G.K.","Hartley, I.P."],"givenName":["Mathew","C.","J.P.","J.B.","G.K.","I.P."],"identifier":"36f4e380-d01d-44a7-8321-7a677e6996b2","incomingCitationCount":0,"keyword":["Environmental survey","soil","soil moisture","organic matter","leaf area index","boreal forest","Canada"],"keywordsOther":["soil","soil moisture","organic matter","leaf area index","boreal forest","Canada"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Tree canopy leaf area index (LAITree) was determined using a Nikon D5000 DSLR camera with a Sigma EX 4.5 1:2.8 DC HSM hemispherical lens. Nine photographs were taken at different locations 1 m above each plot and processed with CAN-EYE software. \n\nUnderstory LAI (LAIU) was measured using a LI-COR LAI2000 Plant Canopy Analyser (LI-COR, Lincoln, USA). One measurement was taken above the understory canopy with a 90 degree field of view cap and four measurements were taken below the understory canopy at the four corners of a 20 x 20 cm square at the centre of each plot.\n\nMoss thickness was determined by carefully removing a section of moss and organic material from the ground with a serrated knife while avoiding compression. Moss thickness was measured as the distance from the surface of the living moss to the point at which dead moss (fibric material) became decomposed to a state that its structure was no longer discernible. \n\nFor further details please read the associated supporting documentation.","locations":["POLYGON((-140.8 59.221, -140.8 69.78, -117.137 69.78, -117.137 59.221, -140.8 59.221))"],"metadataDate":"2026-06-27T14:14:52.000Z","orcid":["https://orcid.org/0000-0001-6117-5208"],"organisation":["University of Edinburgh","University of Exeter","University of Sheffield","University of Sussex","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-05-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/36f4e380-d01d-44a7-8321-7a677e6996b2","10.5285/36f4e380-d01d-44a7-8321-7a677e6996b2","doi:10.5285/36f4e380-d01d-44a7-8321-7a677e6996b2"],"resourceType":"Dataset","ror":["https://ror.org/01nrxwf90","https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains a stratified survey of ecological and soil states at sites where fine scale patterns of covariation between vegetation and edaphic characteristics were recorded. Key data collection included leaf area index, moss and organic matter thickness, surface…","state":"published","supplementalDescription":["Fisher, J. P., C. Estop‐Aragonés, A. Thierry, D. J. Charman, S. A. Wolfe, I. P. Hartley, J. B. Murton, M. Williams and G. K. Phoenix (2016). \"The influence of vegetation and soil characteristics on active‐layer thickness of permafrost soils in boreal forest.\" Global change Biology  22: 3127–3140. "],"title":"Extensive vegetation and soil surveys from multiple sites in boreal forests of subarctic Canada, 2013-2014","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Middlebrook","Harrower","Milborrow","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.A.","Milborrow, J.","Roy, D.B."],"authorGivenName":["Marc S","Ian","Colin A","Jo","David B"],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see.\n\nSite indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK.\n\nSite indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"givenName":["Marc S","Ian","Colin A","Jo","David B","Marc"],"identifier":"53a1c705-4437-48bb-9bcd-b68977f8edd9","incomingCitationCount":0,"keyword":["Biodiversity","annual","butterflies","Leipdoptera","BReVI"],"keywordsOther":["annual","butterflies","Leipdoptera","BReVI"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Automatic checks are applied when data are entered into the Transect Walker program to alert recorders to potential data entry errors, e.g. abnormally high counts of a species or a record of species outside of its recognised flight period. The recorder is given the option to proceed with the record or to alter it appropriately. Each site data belongs to a region for which a transect coordinator is responsible. The regional coordinator has good knowledge of the sites they receive records for and checks the records for any questionable records. Data entered online is also checked by the regional transect coordinators and can be done so continuously throughout the season. Following these preliminary validation checks, the data undergoes a series of further automated and manual validation procedures including queries to check for records of species that are: recorded out of their known distribution range (using data from Butterfly Conservation's Butterflies for the New Millennium (BNM) and existing UKBMS data), recorded out of their normal flight period, recorded for the first time at a site, have extreme abundances or abundances that are markedly different to normal for a given site at a given time of year.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:26:26.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/53a1c705-4437-48bb-9bcd-b68977f8edd9","10.5285/53a1c705-4437-48bb-9bcd-b68977f8edd9","doi:10.5285/53a1c705-4437-48bb-9bcd-b68977f8edd9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely…","state":"published","title":"United Kingdom Butterfly Monitoring Scheme: site indices 2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Davies","Rameshwaran","Bell"],"authorFullName":["Davies, H.N.","Rameshwaran, P.","Bell, V.A."],"authorGivenName":["H.N.","P.","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"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The dataset includes six files of UK physical river characteristics including five files of gridded data at 1 km x 1 km resolution and one comma separated table. The data includes: \n•\tDrainage directions (D8 flow method), ESRI coding\n•\tDrainage directions (D8 flow method), unifhy (python hydrology framework) coding\n•\tCatchment areas (km2)\n•\tWidths of bankfull rivers (m)\n•\tDepths of bankfull rivers (m)\n•\tNRFA gauging station locations (easting (m), northing (m))\n\nTwo versions of drainage directions are provided, both have the same drainage directions but different numbering systems. The 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","familyName":["Davies","Rameshwaran","Bell"],"fullName":["Davies, H.N.","Rameshwaran, P.","Bell, V.A."],"givenName":["H.N.","P.","V.A."],"identifier":"8df65124-68e9-4c68-8659-1c6b82c735e9","incomingCitationCount":0,"keyword":["Hydrology","UK","Drainage directions","drainage","hydrology"],"keywordsOther":["UK","Drainage directions","drainage","hydrology"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The 1 km x 1 km outflow drainage direction and catchment areas datasets are generated from a 50 m x 50 m resolution digital terrain: IHDTM (Integrated Hydrological Digital Terrain Model). Bankfull river widths on a 1 km x 1 km grid are generated using the OS MasterMap Water Network Layer width data in a regression relationship with catchment area 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 catchment area and rainfall characteristics. \n\nFinally, the NRFA (National River Flow Archive) gauging station location dataset on a 1 km x 1 km 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 percentage 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))"],"metadataDate":"2026-06-29T18:29:55.000Z","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"],"publicationDate":"2022-11-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8df65124-68e9-4c68-8659-1c6b82c735e9","10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9","doi:10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset includes six files of UK physical river characteristics including five files of gridded data at 1 km x 1 km resolution and one comma separated table. The data includes: \n•\tDrainage directions (D8 flow method), ESRI coding\n•\tDrainage directions (D8 flow method),…","state":"published","title":"Gridded (1km) physical river characteristics for the UK v2","topic":["0/Hydrology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Cambridge","University of Exeter"],"authorFamilyName":["Johnstone","Thompson","Cant"],"authorFullName":["Johnstone, R.A.","Thompson, F.J.","Cant, M.A."],"authorGivenName":["R.A.","F.J.","M.A"],"authorOrcid":["https://orcid.org/0000-0001-7581-2204","https://orcid.org/0000-0002-1530-3077"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Plain text"],"description":"This is a theoretical model of leadership in warfare by exploitative individuals who reap the benefits of conflict while avoiding the costs. In this model we extend the classic hawk-dove model to consider pairwise interactions between groups in which a randomly chosen leader decides whether the group will collectively adopt aggressive or peaceful tactics. We allow for unequal sharing of fitness payoffs among group members such that the leader can obtain either a larger share of the benefits, or pay a reduced share of costs, from fighting compared to their followers. Our model shows that leadership of this kind can explain the evolution of severe collective violence in certain animal societies.","documentType":"GEMINI_DOCUMENT","familyName":["Johnstone","Thompson","Cant"],"fullName":["Johnstone, R.A.","Thompson, F.J.","Cant, M.A."],"givenName":["R.A.","F.J.","M.A","F. J."],"identifier":"7aab999e-cef9-41c2-8400-63f10af798ec","incomingCitationCount":0,"keyword":["Collective violence","Intergroup conflict","Social evolution","Game theory","Aggression"],"keywordsOther":["Collective violence","Intergroup conflict","Social evolution","Game theory","Aggression"],"licence":"Open government licence","lineage":"Our model extends the classic hawk-dove model to consider pairwise encounters between groups of size n. In each encounter, an individuals is randomly selected as leader and the rest of the group assigned as followers. The leader decides whether the group collectively adopts either aggressive (hawk) or peaceful (dove) tactics, via their disproportionate influence on group behaviour. Total fitness payoffs to groups are identical to that of individuals in the classic model, except that we also allow for unequal sharing. Each follower’s share of the benefit obtained from fighting is reduced compared to that of their leader, while the leader’s share of any costs incurred is reduced compared to that of a follower. Our model predicts that extreme levels of intergroup aggression will evolve when a subset of group members can initiate conflicts that involve the whole group and when initiators gain a disproportionate benefit (or suffer lower costs) than others. It suggests that destructive warfare can result from the decoupling of leaders from the costs that they incite.","metadataDate":"2026-05-11T18:27:25.000Z","orcid":["https://orcid.org/0000-0001-7581-2204","https://orcid.org/0000-0002-1530-3077"],"organisation":["University of Cambridge","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7aab999e-cef9-41c2-8400-63f10af798ec","10.5285/7aab999e-cef9-41c2-8400-63f10af798ec","doi:10.5285/7aab999e-cef9-41c2-8400-63f10af798ec"],"resourceType":"Model","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This is a theoretical model of leadership in warfare by exploitative individuals who reap the benefits of conflict while avoiding the costs. In this model we extend the classic hawk-dove model to consider pairwise interactions between groups in which a randomly chosen…","state":"published","title":"Theoretical model of exploitative leadership in collective violence  in animal societies","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["Queen Mary University of London","Game and Wildlife Conservation Trust"],"authorFamilyName":["Jones","Arnold ","Duerdoth","Hawczak","Murphy","Pacioglu","Pretty","Sanders","Beaumont","Lauridsen","Scott"],"authorFullName":["Jones, J.I.","Arnold , A.","Duerdoth, C.P.","Hawczak, A.","Murphy, J.F.","Pacioglu, O.","Pretty, J.L.","Sanders, I.A.","Beaumont, W.R.C.","Lauridsen, R.B.","Scott, L."],"authorGivenName":["J. Iwan","A.","C.P.","A","J.F.","O.","J.L.","I. A.","W.R.C.","R.B.","L."],"authorOrcid":["https://orcid.org/0000-0002-7238-2509","https://orcid.org/0000-0003-2233-2308","https://orcid.org/0000-0002-7100-1161"],"authorRor":["https://ror.org/026zzn846","https://ror.org/015eybs17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains measurements of the annual average abundance, biomass and elemental composition (C, N, P) of consumers (fish and invertebrates) in six rivers within sub-catchments of the Hampshire Avon of contrasting geology (clay, sand, chalk). ","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Arnold ","Duerdoth","Hawczak","Murphy","Pacioglu","Pretty","Sanders","Beaumont","Lauridsen","Scott"],"fullName":["Jones, J.I.","Arnold , A.","Duerdoth, C.P.","Hawczak, A.","Murphy, J.F.","Pacioglu, O.","Pretty, J.L.","Sanders, I.A.","Beaumont, W.R.C.","Lauridsen, R.B.","Scott, L."],"givenName":["J. Iwan","A.","C.P.","A","J.F.","O.","J.L.","I. A.","W.R.C.","R.B.","L."],"identifier":"6e9a9a6e-1b42-46db-973b-06c1db2961c0","incomingCitationCount":0,"keyword":["United Kingdom","England","Hampshire Avon","Elemental composition","Stoichiometry","biomass","density","fish","invertebrate"],"keywordsOther":["Elemental composition","Stoichiometry","biomass","density","fish","invertebrate"],"keywordsPlace":["United Kingdom","England","Hampshire Avon"],"licence":"Open government licence","lineage":"All data were generated by the authors. All individuals identifying invertebrates had over 10 years of experience and hold the Natural History Museum IdQ EO62 Identification of Freshwater Macroinvertebrate Species. All data produced were checked for errors before data was accepted. As chemical data were generated, checks were made to ensure accuracy (certified reference materials) and precision (repeat measurements) were within accepted tolerance limits. We also ensured measured values fit within those of calibration standards and, if necessary, re-analysed samples diluted to fall within the calibration range. For data generated via mass spectrometry, beam areas of all measured mass-to-charge ratios were corrected for drift offline using control standards. All data were checked to ensure reported values were above the detection limit of the method. All calculations were checked for errors before data was accepted. ","locations":["POLYGON((-2.111 51.027, -2.111 51.32, -1.861 51.32, -1.861 51.027, -2.111 51.027))"],"metadataDate":"2026-06-29T16:15:21.000Z","orcid":["https://orcid.org/0000-0002-7238-2509","https://orcid.org/0000-0003-2233-2308","https://orcid.org/0000-0002-7100-1161"],"organisation":["Queen Mary University of London","Game and Wildlife Conservation Trust","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6e9a9a6e-1b42-46db-973b-06c1db2961c0","10.5285/6e9a9a6e-1b42-46db-973b-06c1db2961c0","doi:10.5285/6e9a9a6e-1b42-46db-973b-06c1db2961c0"],"resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/015eybs17","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains measurements of the annual average abundance, biomass and elemental composition (C, N, P) of consumers (fish and invertebrates) in six rivers within sub-catchments of the Hampshire Avon of contrasting geology (clay, sand, chalk). ","state":"published","title":"Abundance, biomass and elemental composition (CNP) of consumers in the Hampshire Avon [Macronutrient Cycling]","version":1.0,"view":["public","kath"]},{"authorAffiliation":["University of Exeter","University of Campinas","Australian National University","University of Sao Paulo","Museu Paraense Emílio Goeldi","EMBRAPA","Federal University of Para","Centre for Research on Ecology and Forestry Applications (CREAF)"],"authorFamilyName":["Rowland","Oliveira","Bittencourt","Giles","Coughlin","de Britto Costa","Domingues","Ferreira","Vasconcelos","Junior","da Costa","Meir","Mencuccini"],"authorFullName":["Rowland, L.","Oliveira, R.S.","Bittencourt, P.R.L.","Giles, A.L.","Coughlin, I.","de Britto Costa, P.","Domingues, T.","Ferreira, L.V.","Vasconcelos, S.S.","Junior, J.A.S.","Oliveira, A.A.R.","da Costa, A.C.L.","Meir, P.","Mencuccini, M."],"authorGivenName":["L.","R.S.","P.R.L.","A.L.","I.","P.","T.","L.V.","S.S.","J.A.S.","A.A.R.","A.C.L.","M."],"authorOrcid":["https://orcid.org/0000-0002-0774-3216","https://orcid.org/0000-0002-6392-2526","https://orcid.org/0000-0002-2362-0398","https://orcid.org/0000-0003-0840-1477"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/019wvm592","https://ror.org/036rp1748","https://ror.org/010gvqg61","https://ror.org/0482b5b22","https://ror.org/03q9sr818","https://ror.org/03abrgd14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise tree trait data collected during September and October 2016 (the peak dry season), in the Caxiuanã National Forest Reserve, eastern Amazon, Brazil. \n17 traits (including plot type, tree species name, diameter at breast height, tree light score, carboxylation capacity, electron transport capacity, leaf respiration in the dark, stomatal conductance, stem CO2 efflux, leaf mass per area, leaf nitrogen and phosphorus content, branch wood density, leaf water potential, xylem pressure, lumen conductance, percentage loss of conductivity, hydraulic Safety Margin and leaf area to sapwood area ratio) of 176 trees (most common genera) were sampled across two experimental plots: a one-hectare through-fall exclusion plot with a plastic panel structure that excludes 50% of the canopy through-fall and has done since 2002 and a corresponding one-hectare control plot without any drought structure. \n\nThis data comes from the Caxiuanã through-fall exclusion (TFE) experiment located in the terra firma forest, on yellow oxisol soils at 15 m above sea level, with a mean annual rainfall between 2,000–2,500 mm and a pronounced dry season between June and November.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Oliveira","Bittencourt","Giles","Coughlin","de Britto Costa","Domingues","Ferreira","Vasconcelos","Junior","da Costa","Meir","Mencuccini"],"fullName":["Rowland, L.","Oliveira, R.S.","Bittencourt, P.R.L.","Giles, A.L.","Coughlin, I.","de Britto Costa, P.","Domingues, T.","Ferreira, L.V.","Vasconcelos, S.S.","Junior, J.A.S.","Oliveira, A.A.R.","da Costa, A.C.L.","Meir, P.","Mencuccini, M."],"funder":["Natural Environment Research Council"],"givenName":["L.","R.S.","P.R.L.","A.L.","I.","P.","T.","L.V.","S.S.","J.A.S.","A.A.R.","A.C.L.","M."],"grant":["NE/N014022/1"],"identifier":"441565b3-0a7d-4d3c-a7a8-7d7b487c1462","incomingCitationCount":1,"keyword":["Caxiuanã National Forest Reserve","Brazil","Phenology","plant functional traits","light availability","intra‐specific variation","tree growth","drought","tropical forest","climate change","tree","light"],"keywordsOther":["plant functional traits","light availability","intra‐specific variation","tree growth","drought","tropical forest","climate change","tree","light"],"keywordsPlace":["Caxiuanã National Forest Reserve","Brazil"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"To sample the traits, three branches from the same tree were gathered at three specific time periods each day in September and October 2016.  Stem CO2 efflux measurements (Rstem) were made in October 2016 using a gas analyser attached in a close loop system to a 75cm2 area of each of our study trees. Growth rates were calculated for each tree using mean stem increment data measured every three months using dendrometers, as presented in Rowland et al., (https://doi.org/10.1038/nature15539). Mean growth increment was calculated by averaging three-monthly growth rate data from 2010-2016 for each tree and then log-transforming these data.","locations":["POLYGON((-62.403 -12.039, -62.403 7.188, -41.133 7.188, -41.133 -12.039, -62.403 -12.039))"],"metadataDate":"2026-06-29T16:44:54.000Z","orcid":["https://orcid.org/0000-0002-0774-3216","https://orcid.org/0000-0002-6392-2526","https://orcid.org/0000-0002-2362-0398","https://orcid.org/0000-0003-0840-1477"],"organisation":["University of Exeter","University of Campinas","Australian National University","University of Sao Paulo","Museu Paraense Emílio Goeldi","EMBRAPA","Federal University of Para","Centre for Research on Ecology and Forestry Applications (CREAF)","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-10-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/441565b3-0a7d-4d3c-a7a8-7d7b487c1462","10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462","doi:10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/019wvm592","https://ror.org/036rp1748","https://ror.org/010gvqg61","https://ror.org/0482b5b22","https://ror.org/03q9sr818","https://ror.org/03abrgd14","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise tree trait data collected during September and October 2016 (the peak dry season), in the Caxiuanã National Forest Reserve, eastern Amazon, Brazil. \n17 traits (including plot type, tree species name, diameter at breast height, tree light score, carboxylation…","state":"published","supplementalDescription":["Rowland et al. Nature 528, 119–122 (2015). ","Rowland et al. Global Change Biology, 21, 12. (2015)"],"supplementalName":["Death from drought in tropical forests is triggered by hydraulics not carbon starvation","After more than a decade of soil moisture deficit, tropical rainforest trees maintain photosynthetic capacity, despite increased leaf respiration"],"title":"Traits data from trees exposed to a 50% reduction in canopy throughfall for 14 years in Caxiuanã, Brazil, September to October 2016","topic":["0/Phenology/"],"version":1.0,"view":["public","matnic"]},{"availability":"Unknown","catalogue":"eidc","description":"These datasets include rainfall, cloud and stream hydrochemistry of the Plynlimon research catchments in Mid Wales.\n\nStream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a UK Centre of Ecology & Hydrology (UKCEH) Edinburgh pattern lidded harp type passive collector. \n\nFieldwork was carried out by UKCEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified UKCEH chemists at laboratories at UKCEH Lancaster and UKCEH Bangor.\n\nThe Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of long term hydrological and hydro-chemical research. Monitoring is funded by the UK Centre for Ecology & Hydrology, and is ongoing since 1968. ","documentType":"GEMINI_DOCUMENT","familyName":["Norris","Cosby"],"fullName":["Norris, D.A.","Cosby, B.J."],"givenName":["D.A","B.J."],"identifier":"0392bf93-62b2-49f7-8c85-10038f22f0c0","incomingCitationCount":0,"keyword":["Plynlimon","Hafren","Severn","Gwy","Wye","Wales","Rainfall","River","Cloud Water","Bulk precipitation","Stream","Hydrochemistry","Water quality"],"keywordsOther":["Hydrochemistry","Water quality"],"keywordsPlace":["Plynlimon","Hafren","Severn","Gwy","Wye","Wales"],"keywordsTheme":["Rainfall","River","Cloud Water","Bulk precipitation","Stream"],"licence":"Non-Open government licence","lineage":"Sampling was carried out weekly from May 1983 to December 2011 and then fortnightly from January 2012. Stream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a Centre of Ecology and Hydrology (CEH) Edinburgh pattern lidded harp type passive collector. From 1988 to 1999 water sampling was carried out by members of staff from the Institute of Hydrology based at Dolydd near the Plynlimon catchments. From 1999 sampling has been carried out from CEH Bangor. The laboratory analysis has been undertaken at different locations using different equipment during the years of monitoring represented within the datasets. Details of the analytical methods used for each determinand are included within the supporting information of the datasets. For the dataset Plynlimon research catchment hydrochemistry 44095e17-43b0-45d4-a781-aab4f72da025 data was collated from Excel spreadsheets held at CEH Wallingford added to an Access database maintained at CEH Bangor. For ingestion into the Environmental Information data was extracted from the Access database and converted into a comma separated value file. For the data presented in Plynlimon research catchment hydrochemistry (2011-2016) 794c609b-da62-4a42-a4c1-267219865bb1 results were reported back from the laboratories at CEH Lancaster to CEH Bangor as Excel spreadsheets. These data were then imported into an Access database.pH, conductivity and alkalinity analysis was carried out the CEH Bangor laboratories. Results were reported back as Excel spreadsheets. Field measurements and flow calculations were also added to these Excel spreadsheets. These data were then imported into the same Access database as the CEH Lancaster results. For ingestion into the Environmental Information data was extracted from the Access database and converted into a comma separated value file.\n\n","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-03-26T13:38:11.000Z","organisation":["Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0392bf93-62b2-49f7-8c85-10038f22f0c0"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"These datasets include rainfall, cloud and stream hydrochemistry of the Plynlimon research catchments in Mid Wales.\n\nStream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using…","state":"published","title":"Plynlimon Hydrochemistry data","version":1.0,"view":["public","danor"]},{"authorAffiliation":["An Giang University"],"authorFamilyName":["Nguyen"],"authorFullName":["Nguyen, T.","Nguyen, L."],"authorGivenName":["Tanh","Linh"],"authorOrcid":["https://orcid.org/0000-0002-0847-4185","https://orcid.org/0009-0001-1902-6679"],"authorRor":["https://ror.org/023pm6532"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data shows 13 different carbon pool sources identified in two mangrove shrimp ponds, collected in Kien Giang province in 2023. The carbon content in the reservoir includes total carbon above ground, carbon below ground, and carbon in the bottom of the pond; from which the total amount of carbon that the shrimp pond has absorbed was calculated. Total carbon above ground is equal to the total amount of carbon of the trunk, branches, leaves, and roots above ground. The underground carbon reservoir is the sum of the biomass carbon of the underground plant and the carbon accumulated in the soil. The carbon reservoir at the bottom is quite complex, including the amount of carbon from fallen debris into the water which will decompose as the main food source for aquatic species such as shrimp, crabs, clams, fish, etc. in the pond. However, the amount of decomposed debris still has some unused material which will sink to the bottom of the pond and accumulate in the sediment.\n\nThe research objective was to simulate the carbon cycle in mangrove shrimp farming ponds. Mangrove forest runs through the middle and along the length of the ponds, accounting for 50% and 70% of the area, while the remaining area is water where local farmers release shrimp.","documentType":"GEMINI_DOCUMENT","familyName":["Nguyen"],"fullName":["Tanh Nguyen","Nguyen, T.","Nguyen, L."],"funder":["Natural Environment Research Council"],"givenName":["Tanh","Linh"],"grant":["NE/S008926/1"],"identifier":"3224b8e4-5efd-4fc3-a90f-4dd9e2f39ced","incomingCitationCount":0,"keyword":["Environmental survey","Water quality","Climate and climate change","Mangrove","Shrimp","Mekong Delta","Vietnam","Shrimp farming","Shrimp pond","Pond","Litterfall","Mangrove litterfall"],"keywordsOther":["Mangrove","Shrimp","Mekong Delta","Vietnam","Shrimp farming","Shrimp pond","Pond","Litterfall","Mangrove litterfall"],"keywordsTheme":["Environmental survey","Water quality","Climate and climate change"],"licence":"Open government licence","lineage":"The study area was selected in Van Khanh Dong commune, An Minh district, Kien Giang province (now Dong Hung commune, An Giang province). The research was conducted in two separate shrimp ponds. The areas of the two ponds studied were 3.17 ha and 2.13 ha, respectively. In each pond, three sampling plots were chosen, located at the beginning, middle, and end of the pond. In addition, the two ponds differ in location characteristics. Pond I is rectangular, with one end adjacent to the sea and the other next to the owner's house, thus influenced by both the sea and human activity, leading to reduced biomass at both ends. Pond II is also rectangular, with one end adjacent to the sea and the other to another pond, without nearby households. It is mainly influenced by weather and environment, and mangrove trees grow well.\n\nMethods used in the study include: collecting secondary data from documents, conducting direct interviews with local people, collecting samples directly in the field (temperature, sediment, soil, fallen leaves, tree diameter), analysing soil and sediment samples using the dry combustion method in the laboratory, and validating the model using the RMSE coefficient.  The installation of equipment and sample collection were carried out in the same way in each pond to allow comparison of results. \n\nThe specific field sampling method is as follows:\n- Temperature: Use a thermometer at the sampling location, repeat 3 times, then take the average value.\n- Sediment: Use a bucket-type sampling device to collect sediment from a depth of approximately 20cm below the pond bottom at 3 sampling locations.\n- Soil: Similar to sediment sampling, collect the soil layer to a depth of approximately 20cm at 3 sampling points.\n- Fallen matter: Including fallen leaves, branches, and flowers. Collected using a net measuring 1m x 1m x 1m, suspended 50cm above the ground, with 3 nets per shrimp pond.\n- Tree diameter: Measured at breast height (1.3m).\n- Interviews were conducted with local shrimp pond farmers to gain understanding of the functioning of each of the ponds and the different carbon pool sources (not included).","locations":["POLYGON((104.262 8.457, 104.262 11.034, 107.164 11.034, 107.164 8.457, 104.262 8.457))"],"metadataDate":"2026-06-27T20:09:15.000Z","orcid":["https://orcid.org/0000-0002-0847-4185","https://orcid.org/0009-0001-1902-6679"],"organisation":["An Giang University","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3224b8e4-5efd-4fc3-a90f-4dd9e2f39ced","10.5285/3224b8e4-5efd-4fc3-a90f-4dd9e2f39ced","doi:10.5285/3224b8e4-5efd-4fc3-a90f-4dd9e2f39ced"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/023pm6532","https://ror.org/04xw4m193"],"shortenedDescription":"The data shows 13 different carbon pool sources identified in two mangrove shrimp ponds, collected in Kien Giang province in 2023. The carbon content in the reservoir includes total carbon above ground, carbon below ground, and carbon in the bottom of the pond; from…","state":"published","title":"Mangrove litterfall in the mangrove-shrimp system of Kien Giang, Mekong Delta, Vietnam, 2023","topic":["0/Environmental survey/","0/Water quality/","0/Climate and climate change/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Martinez"],"authorFullName":["Martinez, M."],"authorGivenName":["M."],"authorOrcid":["https://orcid.org/0000-0002-4821-9314"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides daily estimates at locations that are part of the COSMOS-UK monitoring network for meteorological and potential evapotranspiration variables in the Climate hydrology and ecology research support system for the period 2013-2017 (CHESS-met and CHESS-PE). Additionally, for the same period, it provides estimates at COSMOS-UK sites locations for soil moisture simulations provided by JULES (Joint UK Land Environment Simulator) at four layers: top layer (0.0-0.1 m depth), second layer (0.1-0.35 m depth), third layer (0.35-1 m depth) and bottom layer (1-3 m depth). The following variables are available in the dataset: daily temperature range (K), specific humidity (kg kg-1), precipitation (kg m-2 s-1), air pressure (Pa), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), wind speed (m s-1), potential evapotranspiration (mm day-1) and potential evapotranspiration with interception correction (mm day-1), soil moisture content of 1-top layer (m depth), soil moisture content of 2-second layer (m depth), soil moisture content of 3-third layer (m depth) and soil moisture content of 4-bottom layer (m depth).","documentType":"GEMINI_DOCUMENT","familyName":["Martinez"],"fullName":["Martinez, M."],"funder":["Natural Environment Research Council"],"givenName":["M."],"grant":["NE/R016429/1"],"identifier":"2bc23a5a-3a47-44da-80f6-ced6ae4ac45f","incomingCitationCount":0,"keyword":["COSMOS-UK","meteorology","temperature range","humidity","atmospheric precipitation","air pressure","radiation","wind speed","evapotranspiration","soil moisture","interpolation","CHESS","JULES"],"keywordsOther":["meteorology","temperature range","humidity","atmospheric precipitation","air pressure","radiation","wind speed","evapotranspiration","soil moisture","interpolation","CHESS","JULES"],"keywordsProject":["COSMOS-UK"],"licence":"Open government licence","lineage":"The data sources used for generating the meteorological and potential evapotranspiration variables at COSMOS-UK locations are:\n    • Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2017) [CHESS-met]. Only daily data for the period 2013-2017 were used.\n    • Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2017) [CHESS-PE]. Only daily data for the period 2013-2017 were used.\n    • A JULES soil moisture data product derived as the “Water, carbon and energy fluxes simulation for Great Britain using the JULES Land Surface Model and the Climate Hydrology and Ecology research Support System meteorology dataset (1961-2015) [CHESS-land]” and using a standardized, gridded daily meteorological forcing dataset at 1 km resolution [CHESS-met] as input.\nInformation about the COSMOS-UK sites and their coordinates were obtained from the dataset:\n    • Daily and sub-daily hydrometeorological and soil data (2013-2019) [COSMOS-UK]. Location data were obtained for sites active during 2013-2017.\nTo generate estimates of the meteorological, evapotranspiration and JULES soil moisture variables at the COSMOS-UK locations in Britain a linear interpolation was performed for each day in the period 2013-2017 and for each variable. All computations were performed using the software R.\nChecks to verify that no missing data were present in the input datasets and output datasets were performed. Additional descriptive analyses were performed to the outputs to verify that the resulting estimates belong to a feasible and valid range for each variable and to control the residual error in a neighbourhood to each COSMOS-UK site location.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:03:57.000Z","orcid":["https://orcid.org/0000-0002-4821-9314"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2bc23a5a-3a47-44da-80f6-ced6ae4ac45f","10.5285/2bc23a5a-3a47-44da-80f6-ced6ae4ac45f","doi:10.5285/2bc23a5a-3a47-44da-80f6-ced6ae4ac45f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides daily estimates at locations that are part of the COSMOS-UK monitoring network for meteorological and potential evapotranspiration variables in the Climate hydrology and ecology research support system for the period 2013-2017 (CHESS-met and CHESS-PE).…","state":"published","title":"Daily estimates for meteorological and potential evapotranspiration variables (CHESS) and soil moisture estimates (JULES) at COSMOS-UK sites, 2013-2017","version":1.0,"view":["public","elsdhi"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=10"}