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The cohort of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Samples were collected from cattle as they entered housing for the winter, i.e. at weaning.","documentType":"GEMINI_DOCUMENT","familyName":["Hodgson"],"fullName":["Hodgson, C.J.","Hodgson, C."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","Chris"],"grant":["NE/N019792/1"],"identifier":"efcef5e3-09f2-4a23-ad19-53295a3171ce","incomingCitationCount":0,"keyword":["Antibiotic resistant gene abundance ","North Wyke Farm Platform"],"keywordsOther":["North Wyke Farm Platform"],"keywordsTheme":["Antibiotic resistant gene abundance "],"licence":"Open government licence","lineage":"Faecal samples were taken by members of staff from Rothamsted Research North Wyke. In the laboratory faecal samples were pooled, such that for each farmlet (10 cattle) there were 3 samples, (3, 3, 4 cattle). This resulted in 9 faecal samples from which DNA was extracted using a commercially available extraction kit (MO BIO PowerSoil® DNA Isolation kit (catalogue No. 12888-100). The following adaption to the Power Soil protocol; at sample preparation samples were heated to 65 °C for 10 minutes prior to vortex. DNA was sequenced by the sequencing unit at the University of Exeter. The resulting metagenomic data was analysed at the Environmental Biotechnology Laboratory at the University of Hong Kong.\n\nThe establishment licence under which the experiment was conducted was XA11784A2 and the project licence was P592D2677.\n\nData was collected for the NERC funded “Does the potential for AMR selection differ between common UK cattle grazing systems?” NE/N019792/1.","locations":["POLYGON((-3.93 50.74, -3.93 50.77, -3.88 50.77, -3.88 50.74, -3.93 50.74))"],"metadataDate":"2026-06-29T16:55:29.000Z","orcid":["https://orcid.org/0000-0003-4067-3210"],"organisation":["Rothamsted Research North Wyke","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Rothamsted Research"],"publicationDate":"2020-05-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/efcef5e3-09f2-4a23-ad19-53295a3171ce","10.5285/efcef5e3-09f2-4a23-ad19-53295a3171ce","doi:10.5285/efcef5e3-09f2-4a23-ad19-53295a3171ce"],"resourceType":"Dataset","rightsHolder":["Rothamsted Research"],"ror":["https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of the abundance of antibiotic resistant genes (ARG) in fresh cattle faeces from faecal samples taken from a cohort of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke…","state":"published","title":"Antibiotic resistant gene abundance in fresh cattle faeces from the North Wyke Farm Platform","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Hatton"],"authorFullName":["Reinsch, S.","Hatton, J."],"authorGivenName":["S.","J."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-9408-7981"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3).\n\nData were collected from the climate change field site Climoor that is located in Clocaenog forest, NE Wales. The experimental field site consists of three untreated control plots (Plots 3, 6 and 9), three plots where the plant canopy air is artificially warmed during night time hours (Plots 1, 2 and 7) and three plots where rainfall is excluded from the plots at least during the plants growing season (Plots 4, 5 and 8).\n\nData is an extension for the micromet datasets 1998-2015, 2015-2016, 2016-2021 and 2022-2023 covering the time period January 2024 to December 2024. Soil temperatures are measured with a T107 sensor from Campbell scientific. Soil moisture is measured with CS616 sensors from Campbell scientific. Temperature and moisture data are logged in minute intervals and are averaged as half-hourly. \n\nThe Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. 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.\n\nData collection, processing and quality checks were carried out by UKCEH staff.\n\nMore detailed information about the field site, measurements and related datasets can be found in the documentation accompanying the data.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Hatton"],"fullName":["Reinsch, S.","Hatton, J."],"funder":["Natural Environment Research Council"],"givenName":["S.","J."],"grant":["NE/Y006208/1"],"identifier":"21e8957f-48b2-4e29-8aa5-247cf060a59c","incomingCitationCount":0,"keyword":["NC-UK","Climate and climate change","plot level data","climate change","heathland"],"keywordsOther":["plot level data","climate change","heathland"],"keywordsProject":["NC-UK"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals, automatically averaged to half-hourly by the data-logger and stored as such. Half-hourly data are transferred from loggers at the field site to UKCEH servers via a remote telemetry system. Each morning, the previous day's data are transferred.\n\nThe dataset combines daily data from temperature and soil moisture sensors in each experimental plot (there are nine 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). Soil and air temperatures were measured with a T107 sensor, and soil moisture was measured with CS616 sensors, both from Campbell scientific. \n\nAn automated script transfers data to a shared network drive. Data quality checking was done at the end of each calendar year by an experienced member of the team. Data files were combined using an R script. Data were then averaged to daily records. Data was visually inspected and erroneous values were removed, taking into account the seasonal cycle. Data which were not recorded are marked with “NA”, faulty data were replaced by “-9999”. Data were saved as .csv.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-06-29T18:21:58.000Z","orcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-9408-7981"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/21e8957f-48b2-4e29-8aa5-247cf060a59c","10.5285/21e8957f-48b2-4e29-8aa5-247cf060a59c","doi:10.5285/21e8957f-48b2-4e29-8aa5-247cf060a59c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3).\n\nData…","state":"published","title":"Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest, UK, 2024","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Adams","Tipping","Feuchtmayr","Carter","Keenan"],"authorFullName":["Adams, J.","Tipping, E.","Feuchtmayr, H.","Carter, H.T.","Keenan, P."],"authorGivenName":["J.","E.","H.","H.T.","P."],"authorOrcid":["https://orcid.org/0000-0003-1825-0537","https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measured DOC concentration, and modelled DOC concentration derived from UV-visible absorbance spectra. We also include measured chlorophyll concentration, pH and conductivity. The natural water samples were collected from freshwater ecosystems in the UK, and site names and locations. Samples were also collected at set intervals throughout the year, from mesocosm experiments simulating natural lake ecosystems. Data on measured and modelled DOC concentration, chlorophyll concentration, pH and conductivity for the mesocosms sampled, are also included.","documentType":"GEMINI_DOCUMENT","familyName":["Adams","Tipping","Feuchtmayr","Carter","Keenan"],"fullName":["Adams, J.","Tipping, E.","Feuchtmayr, H.","Carter, H.T.","Keenan, P."],"funder":["Natural Environment Research Council"],"givenName":["J.","E.","H.","H.T.","P.","Jess"],"identifier":"6abbc357-1b69-49b4-be28-a77eb7bc6c7f","incomingCitationCount":0,"keyword":["Environmental survey","dissolved organic carbon","chlorophyll","freshwater"],"keywordsOther":["dissolved organic carbon","chlorophyll","freshwater"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"We collected surface water samples representative of different states of eutrophication (defined by concentration of chlorophyll a [Chl-a]) and DOM sources, from catchments in the north of England during summer and autumn 2014 and 2015. Additionally, we collected samples from 4 mesocosm experiments from the CEH aquatic mesocosm facility (CAMF; http://www.ceh.ac.uk/our-science/research-facility/aquatic-mesocosm-facility). The four mesocosms represented a range of treatments, including heating and nutrient addition. Identification of the dominant algal classes was conducted, which included Chlorophyceae and Cyanophyceae, with a bloom of Euglena in mesocosm 7 in the early summer. For our analyses, a 500 mL sample was collected from the 4 mesocosms, and 1L samples from the natural study sites, in pre-rinsed vessels.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:08:09.000Z","orcid":["https://orcid.org/0000-0003-1825-0537","https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-02-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6abbc357-1b69-49b4-be28-a77eb7bc6c7f","10.5285/6abbc357-1b69-49b4-be28-a77eb7bc6c7f","doi:10.5285/6abbc357-1b69-49b4-be28-a77eb7bc6c7f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measured DOC concentration, and modelled DOC concentration derived from UV-visible absorbance spectra. We also include measured chlorophyll concentration, pH and conductivity. The natural water samples were collected from freshwater ecosystems…","state":"published","title":"Measured and modelled dissolved organic carbon (DOC) concentrations, and measured chlorophyll concentration, for UK freshwaters and freshwater mesocosms, 2014-2015","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Keith","Henrys","Rowe","McNamara"],"authorFullName":["Keith, A.M.","Henrys, P.A.","Rowe, R.L.","McNamara, N.P."],"authorGivenName":["A.M.","P.A.","R.L.","N.P."],"authorOrcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-7554-821X","https://orcid.org/0000-0002-5143-5819"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["R model"],"description":"This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare and test for significant differences in potentially non-linear depth profiles of soil properties across land use transitions, which does not need to meet any parametric distribution assumptions, and is intended to be generally applicable regardless of specific contexts of land use and soil type. A small dataset is provided with the code to demonstrate the BLR approach and its outputs. The code was written using the R statistical programming language and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI).","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Henrys","Rowe","McNamara"],"fullName":["Keith, A.","Keith, A.M.","Henrys, P.A.","Rowe, R.L.","McNamara, N.P."],"givenName":["Aidan","A.M.","P.A.","R.L.","N.P."],"identifier":"d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","incomingCitationCount":1,"keyword":["Soil","Modelling","loess","soil","model","R code","local regression"],"keywordsOther":["loess","soil","model","R code","local regression"],"keywordsTheme":["Soil","Modelling"],"licence":"Open government licence","lineage":"The code was written using the R statistical programming language at CEH Lancaster, and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI).","metadataDate":"2026-06-27T15:19:45.000Z","orcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-7554-821X","https://orcid.org/0000-0002-5143-5819"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-10-19T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","doi:10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478"],"resourceType":"Software","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare…","state":"published","title":"Bootstrapped local regression (LOESS) for soil depth profile comparison","topic":["0/Soil/","0/Modelling/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Research Systems & Controls"],"authorFamilyName":["Feuchtmayr","Clarke","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.","Maberly, S.C."],"authorGivenName":["H.","M.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Air temperature, solar radiation flux, wind speed and lake water temperatures at 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12 m depth are measured at an automatic monitoring buoy in Blelham Tarn. All data is given in GMT (Greenwich Mean Time). \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":["Feuchtmayr","Clarke","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.","S.C.","Heidrun"],"grant":["NE/R016429/1"],"identifier":"467942bd-2cd5-4038-bc4f-5d77535d99f1","incomingCitationCount":1,"keyword":["Lake District National Park","Blelham Tarn","UK-SCAPE","Lake temperature","temperature depth profile","air temperature","solar radiation flux","wind speed","high resolution data","hourly data"],"keywordsPlace":["Lake District National Park","Blelham Tarn"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Lake temperature","temperature depth profile","air temperature","solar radiation flux","wind speed","high resolution data","hourly data"],"licence":"Open government licence","lineage":"The instruments measure data every four minutes, the hourly averages provided in this dataset are calculated by an Oracle database. The average is calculated over the previous hour, e.g. the value for 2 pm is the average of the data between 1 and 2 pm, excluding the data measured at 1 pm but including the data measured at 2 pm. \n\nData has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed. Any data gaps are due to buoy maintenance work or sensor/logger problems.","locations":["POLYGON((-3.826 54.486, -3.826 55.787, -1.594 55.787, -1.594 54.486, -3.826 54.486))"],"metadataDate":"2026-07-01T07:04:47.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","Research Systems & Controls","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/467942bd-2cd5-4038-bc4f-5d77535d99f1","10.5285/467942bd-2cd5-4038-bc4f-5d77535d99f1","doi:10.5285/467942bd-2cd5-4038-bc4f-5d77535d99f1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Air temperature, solar radiation flux, wind speed and lake water temperatures at 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12 m depth are measured at an automatic monitoring buoy in Blelham Tarn. All data is given in GMT (Greenwich Mean Time). \n\nThis work was supported…","state":"published","title":"Hourly data from automatic water monitoring buoy from Blelham Tarn, 2019","version":1.0,"view":["public","tinzha"]},{"availability":"Unknown","catalogue":"eidc","description":"These datasets contain time series of canopy images at 10 minute temporal resolution from a thermal camera and a visible light camera at two forest sites. One site, with data from Nov 2022-Nov 2023, is a semi-deciduous tropical forest in Ghana, West Africa (Bobiri Forest Reserve). The other, with data from Jul 2021-Sep 2023, is within a free air CO2 enrichment (FACE) experiment in a mature temperate woodland (BIFoR-FACE). These datasets can be used to assess temporal patterns of canopy temperatures and greenness (canopy phenology). In addition, high temporal resolution (10 sec) climate data measuring solar radiation, air temperature, rainfall, relative humidity, wind speed and direction, vapour pressure and air pressure is available for the Bobiri Forest Reserve site. The data were collected as part of the netCTF project, with the aim of increasing understanding of forest canopy temperatures. The project was co-ordinated by the University of Plymouth with partners at CSIR-Forestry Research Institute of Ghana, University of Birmingham, and University of Leeds. The project was funded by the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","identifier":"d73cf598-3be1-4079-84ec-0446b090d5dd","incomingCitationCount":0,"keyword":["canopy temperature","greenness","climate","weather","micrometerology","woodland","environmental survey","carbon dioxide","oak","ecophysiology","FACE","Ghana","West Africa","England","United Kingdom"],"keywordsOther":["canopy temperature","greenness","climate","weather","micrometerology","woodland","environmental survey","carbon dioxide","oak","ecophysiology","FACE","Ghana","West Africa","England","United Kingdom"],"licence":"Non-Open government licence","metadataDate":"2025-07-09T09:26:25.000Z","publicationDate":"2025-07-08T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d73cf598-3be1-4079-84ec-0446b090d5dd"],"resourceType":"Aggregation","shortenedDescription":"These datasets contain time series of canopy images at 10 minute temporal resolution from a thermal camera and a visible light camera at two forest sites. One site, with data from Nov 2022-Nov 2023, is a semi-deciduous tropical forest in Ghana, West Africa (Bobiri Forest…","state":"published","title":"Time series of temperature and phenology from tropical and temperate forest canopies, 2021-2023","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Chaplow","Beresford","Barnett"],"authorFullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"authorGivenName":["J.S.","Nick A.","C.L."],"authorOrcid":["https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology (ITE). National level vegetation surveys were conducted in May 1986, October 1986 and Spring 1987. More intensive surveys of vegetation (grass and heather) and wildlife (grouse, fox, etc.) in restricted areas were carried out in Cumbria, Wales and North Yorkshire in 1989, 1990, 1991 and 1993. Surveys of fungi were carried out between 1994 and 1997. The data are suitable for interpolation to create spatially variable surfaces suitable for input into models.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Chaplow","Barnett"],"fullName":["Beresford, N.A.","Chaplow, J.S.","Barnett, C.L."],"givenName":["Nick A.","J.S.","C.L."],"identifier":"d0a6a8bf-68f0-4935-8b43-4e597c3bf251","incomingCitationCount":3,"keyword":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone","Pollution","Radioecology","radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsOther":["radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsPlace":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Open government licence","lineage":"Vegetation was clipped from 1 metre squared quadrats to a height of 1 centimetre above ground level. Samples were dried at 80 degrees centigrade, weighed, ground and counted in plastic containers (130 millilitre) on a NaI(T1) detector to determine the radiocaesium activity. The most active samples were recounted on a high resolution germanium detector. Soil type was noted at each site (Soil survey 1983). Soil samples were allocated to a series of textural categories (Clay (particles of less than 2 m in diameter); Silt (particles of 2-40 micron diameter); Sand (particles of 50 micron -2millimetre diameter); Organic (humified plant material); Loam (significant quantities of material from 3 or more categories). Soil pH was determined using an antimony electrode pH meter. Animal samples consisted of necks and rumen contents from 70 red deer (Cervus elaphus), whole bodies of three species of lagomorphs (25 rabbits (Oryctolagus cuniculus) and 2 black hares (Lepus capensis), two species of grouse (13 red grouse (Lagopus lagopus), 4 black game (Tetrao tetrix), and 22 foxes (Vulpes vulpes) totalling 141 flesh and 94 gut samples. Samples of flesh were removed from the neck of the deer, from the legs and back of the hares, rabbits and foxes, and from the breast muscle of the grouse. These were weighed fresh and placed in standard counting containers which were kept in a deep freeze until required for analysis. Each sample was thawed for 24 hours prior to counting. Samples were analysed by high resolution gamma spectrometry using either hyperpure germanium or germanium lithium detectors with relative efficiencies of 20 to 25 percent. Counting times varied between 25k to 80k seconds. Detectors were calibrated. The column headings for Easting, Northing and Sampling_date' in dataset 4 are labelled incorrectly. The correct order should be column C Sampling_date, column D Easting, column E Northing.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:41:20.000Z","orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1409748590053","CEH:EIDC::1409748590053","https://catalogue.ceh.ac.uk/id/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","doi:10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology…","state":"published","supplementalDescription":["Howard, B. J., Beresford, N. A., Burrow, L., Shaw, P. V., & Curtis, E. J. C. (1987). A comparison of caesium 137 and 134 activity in sheep remaining on upland areas contaminated by Chernobyl fallout with those removed to less active lowland pasture. Journal of the Society for Radiological Protection, 7(2), 71-73.","Horrill, A.D.; Howard, D.M. (1991).  Chernobyl fallout in three areas of upland pasture in West Cumbria. Journal of Radiological Protection, 11 (4). 249-257. ","Howard, B. J., & Beresford, N. A. (1989). Chernobyl radiocaesium in an upland sheep farm ecosystem. British Veterinary Journal, 145(3), 212-219. ","Dighton, J., & Horrill, A. D. (1988). Radiocaesium accumulation in the mycorrhizal fungi Lactarius rufus and Inocybe longicystis, in upland Britain, following the Chernobyl accident. Transactions of the British Mycological Society, 91(2), 335-337. ","Horrill, A.D.; Lowe, V.W.; Howson, G.. 1988 Chernobyl fallout in Great Britain. Final report. NERC/Institute of Terrestrial Ecology, 55pp. (T07006e1) (Unpublished)","Beresford, N. A., Howard, B. J., Barnett, C. L., & Crout, N. M. J. (1992). The uptake by vegetation of chernobyl and aged radiocaesium in upland West Cumbria. Journal of Environmental Radioactivity, 16(2), 181-195. ","Howard B. J.; Beresford, N. A.; Hove, K. (1991).  Transfer of Radiocaesium to Ruminants in Natural and Semi-natural Ecosystems and Appropriate Countermeasures. Health Physics 61, 6.","Wright, S. M., Smith, J. T., Beresford, N. A., & Scott, W. A. (2003). Monte-Carlo prediction of changes in areas of west Cumbria requiring restrictions on sheep following the Chernobyl accident. Radiation and Environmental Biophysics, 42(1), 41-47. ","Smith, J. T., Comans, R. N. J., Beresford, N. A., Wright, S. M., Howard, B. J., & Camplin, W. C. (2000). Chernobyl's legacy in food and water. Nature, 405(6783), 141-141. ","Beresford, N. A., Barnett, C. L., Wright, S. M., Howard, B. J., & Crout, N. M. J. (2007). Factors contributing to radiocaesium variability in upland sheep flocks in west Cumbria (United Kingdom). Journal of Environmental Radioactivity, 98(1-2), 50-68. "],"supplementalName":["Journal paper"],"title":"Post Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map service (WMS) for the Land Cover Map 2024 at 1 kilometre resolution\n\nThe target data comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats.\n\nThe aggregate data ,groups some of the more specialised target classes into more general classes and comprises 10 classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"830ff9af-561b-4c4b-9919-4a7ff4f35ef5","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsOther":["infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:48:46.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2025-07-31T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/830ff9af-561b-4c4b-9919-4a7ff4f35ef5"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2024 at 1 kilometre resolution\n\nThe target data comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats.\n\nThe aggregate data ,groups some of the more specialised target classes into…","state":"published","title":"Land Cover Map 2024 1km web map service (WMS)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Loughborough University","Newcastle University"],"authorFamilyName":["Chen","Liang","Xiao"],"authorFullName":["Chen, H.","Liang, Q.","Xiao, W."],"authorGivenName":["H.","Q.","W."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","TIFF"],"description":"This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. 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A high-performance hydrodynamic model was then used to simulate the resulting flood hydrodynamics.","documentType":"GEMINI_DOCUMENT","familyName":["Chen","Liang","Xiao"],"fullName":["Chen, H.","Liang, Q.","Xiao, W."],"funder":["Natural Environment Research Council"],"givenName":["H.","Q.","W."],"grant":["NE/S005919/1"],"identifier":"f4292d99-de93-4a28-a821-b2a6a826df4c","incomingCitationCount":0,"keyword":["Tsho Rolpa Lake","Nepal","Environmental risk","Modelling","Glacial lake outburst floods","Hydrodynamic flood modelling","flood","modelling"],"keywordsOther":["Glacial lake outburst floods","Hydrodynamic flood modelling","flood","modelling"],"keywordsPlace":["Tsho Rolpa Lake","Nepal"],"keywordsTheme":["Environmental risk","Modelling"],"licence":"Open government licence","lineage":"A commonly used empirical breach model was adopted to represent the dam breach formation process caused by overtopping. The breach was assumed to start from a small channel formed at the dam crest (initial breach) and grows into a trapezoidal shape with a side-slope of 1:1 during the time of failure. The model further assumes an initial breach depth and a final breach depth, which can be quantified and prescribed according to current dam conditions. A fully hydrodynamic model based on the 2-D depth-averaged shallow water equations (SWEs) was adopted to predict the flooding processes driven by the flow out of the breach of the moraine dam.\n","locations":["POLYGON((86.1 27.3, 86.1 27.51, 86.29 27.51, 86.29 27.3, 86.1 27.3))"],"metadataDate":"2026-06-29T17:01:28.000Z","organisation":["Loughborough University","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4292d99-de93-4a28-a821-b2a6a826df4c","10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c","doi:10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario.…","state":"published","title":"Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020","topic":["0/Environmental risk/","0/Modelling/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Liverpool","University of Cambridge","Institute of Zoology"],"authorFamilyName":["Fenton","Daversa","Manica","Garner"],"authorFullName":["Fenton, A.","Daversa, D.R.","Manica, A.","Garner, T.W.J."],"authorGivenName":["Andy","D. R.","A.","T. W. 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Phase 2 control tanks received three Rv-negative corpses. 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Modern land surface models require a characterisation of the land surface hydrological regime and this parameter allows the use of the TOPMODEL hydrological model to achieve this .This Geographic Information System layer is intended for use as topographic ancillary files for the TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index variable here is directly comparable to the compound topographic index available from United States Geological Survey's Hydro1K at 30 sec resolution. \n\nPLEASE NOTE: This dataset is a correction to a previous version which was found to contain errors ( https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da ). In the previous version all pixels north of 4.57 degrees south were shifted consistently 9.3 km to the west. 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PLEASE NOTE: This dataset is a correction to a previous version which was found to contain errors (doi:10/t7d). In the previous version all pixels north of 4.57 degrees south were shifted consistently 9.3 km to the west. This version is correctly aligned at all points.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T11:03:35.000Z","orcid":["https://orcid.org/0000-0003-3727-6468"],"organisation":["University of Oxford","McGill University","Hadley Centre for Climate Prediction and Research","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2015-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1425985863014","CEH:EIDC::1425985863014","https://catalogue.ceh.ac.uk/id/6b0c4358-2bf3-4924-aa8f-793d468b92be","10.5285/6b0c4358-2bf3-4924-aa8f-793d468b92be","doi:10.5285/6b0c4358-2bf3-4924-aa8f-793d468b92be"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/01pxwe438","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are…","state":"published","title":"High-resolution global topographic index values","topic":["0/Hydrology/"],"version":2.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter","University of New Mexico","Sul Ross State University"],"authorFamilyName":["Cunliffe","McIntire","Boschetti","Sauer","Litvak","Brazier","Anderson"],"authorFullName":["Cunliffe, A.M.","McIntire, C.","Boschetti, F.","Sauer, K.J.","Litvak, L.","Brazier, R.E.","Anderson, K."],"authorGivenName":["A. 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In total,  200 stems for sapwood area…","state":"published","title":"Field measurements of aboveground biomass, canopy area, stem diameter and sapwood area of Juniperus monosperma trees in New Mexico, collected in 2018 and 2019","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Lactuca: Environmental Data Analyses and Modelling","Bangor University","University of Southampton","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Hooftman","Willcock","Eigenbrod","Bullock"],"authorFullName":["Hooftman, D.A.P.","Willcock, S.","Eigenbrod, F.","Bullock, J.M."],"authorGivenName":["D.A.P.","S.","F.","J.M."],"authorOrcid":["https://orcid.org/0000-0001-9835-6897","https://orcid.org/0000-0001-6704-3548","https://orcid.org/0000-0001-8982-824X","https://orcid.org/0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","TIFF"],"description":"This dataset contains the gridded estimates per 1 km2 for mean and median ensemble outputs from 4-6 individual ecosystem service models for Sub-Saharan Africa, for above ground Carbon stock, firewood use, charcoal use and grazing use. Water use and supply are identically supplied as polygons. Individual model outputs are taken from previously published research. \n\nMaking ensembles results in a smoothing effect whereby the individual model uncertainties are cancelled out and a signal of interest is more likely to emerge. Included ecosystem service models were: InVEST, Co$ting Nature, WaterWorld, Monetary value benefits transfer, LPJ-GUESS and Scholes models. Ensemble outputs have been normalised, therefore these ensembles project relative levels of service across the full area and can be used, for example, for optimisation or assignment of most important or sensitive areas.\n\nThe work was completed under the \"EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models\" project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme.","documentType":"GEMINI_DOCUMENT","familyName":["Hooftman","Willcock","Eigenbrod","Bullock"],"fullName":["Hooftman, D.","Hooftman, D.A.P.","Willcock, S.","Eigenbrod, F.","Bullock, J.M."],"funder":["Natural Environment Research Council"],"givenName":["Danny","D.A.P.","S.","F.","J.M."],"grant":["NE/L001322/1","NE/T00391X/1"],"identifier":"11689000-f791-4fdb-8e12-08a7d87ad75f","incomingCitationCount":0,"keyword":["Africa","Ecosystem services","ensemble modelling","non-timber forest products","poverty alleviation","carbon stock","grazing","natural capital","poverty","sustainable development","water supply"],"keywordsOther":["ensemble modelling","non-timber forest products","poverty alleviation","carbon stock","grazing","natural capital","poverty","sustainable development","water supply"],"keywordsPlace":["Africa"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"The individual modelled ecosystem service outputs underlying the ensemble calculations originate from the\"WISER: Which Ecosystem Service Models Best Capture the Needs of the Rural Poor\" project (NE/L001322/1), funded by the UK Ecosystem Services for Poverty Alleviation programme (ESPA; www.espa.ac.uk). Validations of individual models and their correlation to model complexity have been published as Willcock et al. 2019: A continental-scale validation of ecosystem service models. Ecosystems, 22: 1902-1917. \n\nAmong contributing model outputs means and median values were estimated per 1-km2 gridcell or per polygon for water. The standard error of mean is calculated from the standard deviation corrected with the amount of contributing models per cell. All underlying individual models have been normalised against the 95% percentile prior to calculations. Afterwards, the resulting Ensembles have been identically re-normalised to ensure a 0-1 scale. For all details about the individual model approaches, their synchronisation, and their validation refer to Willcock et al. (2019) and the supporting documentation.","locations":["POLYGON((-17.688 -35.344, -17.688 18.448, 52.273 18.448, 52.273 -35.344, -17.688 -35.344))"],"metadataDate":"2026-06-29T17:05:10.000Z","orcid":["https://orcid.org/0000-0001-9835-6897","https://orcid.org/0000-0001-6704-3548","https://orcid.org/0000-0001-8982-824X","https://orcid.org/0000-0003-0529-4020"],"organisation":["Lactuca: Environmental Data Analyses and Modelling","Bangor University","University of Southampton","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-06-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/11689000-f791-4fdb-8e12-08a7d87ad75f","10.5285/11689000-f791-4fdb-8e12-08a7d87ad75f","doi:10.5285/11689000-f791-4fdb-8e12-08a7d87ad75f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the gridded estimates per 1 km2 for mean and median ensemble outputs from 4-6 individual ecosystem service models for Sub-Saharan Africa, for above ground Carbon stock, firewood use, charcoal use and grazing use. Water use and supply are identically…","state":"published","supplementalDescription":["Willcock, S., Hooftman, D.A.P., Balbi, S., Blanchard, R., Dawson, T.P., O’Farrell, P.J., … Bullock, J.M. (2019). A Continental-Scale Validation of Ecosystem Service Models. Ecosystems, 22(8), 1902–1917."],"title":"Ensemble outputs from Ecosystem Service models for water supply, aboveground carbon storage and use of water, grazing, charcoal and firewood by beneficiaries in sub-Saharan Africa","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G. ","A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-pixel probability of the land cover. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Rowland","O'Neil"],"fullName":["Marston, C.G.","Rowland, C.S.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","C.S.","C.G. ","A.W."],"grant":["NE/Y006208/1"],"identifier":"4dd9df19-8df5-41a0-9829-8f6114e28db1","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","Biodiversity Action Plan","land cover","map","habitat"],"keywordsOther":["Biodiversity Action Plan","land cover","map","habitat"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2024 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:24:50.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4dd9df19-8df5-41a0-9829-8f6114e28db1","10.5285/4dd9df19-8df5-41a0-9829-8f6114e28db1","doi:10.5285/4dd9df19-8df5-41a0-9829-8f6114e28db1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type;…","state":"published","title":"Land Cover Map 2024 (10m classified pixels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Indian Institute of Technology Hyderabad, India","Indian Institute of Technology, Hyderabad, India","Newcastle University","Indian Institute of Technology Gandhinagar, India","University of Birmingham"],"authorFamilyName":["Sonkar","Kashyap","Pallares-Vega","Sasidharan","Modi","Uluseker","Chandrakalabai Jambu","Mohapatra","Larsen","Graham","Thatikonda","Kreft"],"authorFullName":["Sonkar, V.","Kashyap, A.","Pallares-Vega, R.","Sasidharan, S.S.","Modi, A.","Uluseker, C.","Chandrakalabai Jambu, S.","Mohapatra, P.K.","Larsen, J.","Graham, D.W.","Thatikonda, S.","Kreft, J."],"authorGivenName":["Vikas","Arun","Rebeca","Sai Sugitha","Ankit","Cansu","Sangeetha","Pranab Kumar","Joshua","David W","Shashidhar","Jan-Ulrich"],"authorOrcid":["https://orcid.org/0000-0002-1011-1164","https://orcid.org/0009-0009-4060-7409","https://orcid.org/0000-0002-2960-9368","https://orcid.org/0009-0008-4349-5871","https://orcid.org/0000-0003-4667-4839","https://orcid.org/0000-0001-9828-0458","https://orcid.org/0000-0002-3297-3486","https://orcid.org/0000-0002-0650-7369","https://orcid.org/0000-0002-9753-496X","https://orcid.org/0000-0003-2973-2224","https://orcid.org/0000-0002-2351-224X"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The data comprises all standard water quality parameters (including chemical oxygen demand, pH, dissolved oxygen, total dissolved solids), viable counts of heterotrophic bacteria and resistant bacteria and Escherichia coli, qPCR measured concentrations of 7 antibiotic resistance genes, 1 mobile genetic element gene, an E. coli specific gene and 16S rDNA. Samples were taken from the Musi river, upstream, within the city of Hyderabad, India, and downstream of the city, during the wet season of 2022 and the dry season of 2023. The Musi catchment is both rural and urban, including many residential communities, hospitals and factories. Downstream of the city, land use includes agriculture and aquaculture, with less human impact than within the city stretch. Sampling sites were chosen to contrast upstream water conditions with sites in the city and downstream.\nBoth water and sediment grab samples were collected by a team from the Indian Institute of Technology Hyderabad. The data was collected to study the sources and fate of pollution with antimicrobial resistance.","documentType":"GEMINI_DOCUMENT","familyName":["Sonkar","Kashyap","Pallares-Vega","Sasidharan","Modi","Uluseker","Chandrakalabai Jambu","Mohapatra","Larsen","Graham","Thatikonda","Kreft"],"fullName":["Jan-Ulrich Kreft","Sonkar, V.","Kashyap, A.","Pallares-Vega, R.","Sasidharan, S.S.","Modi, A.","Uluseker, C.","Chandrakalabai Jambu, S.","Mohapatra, P.K.","Larsen, J.","Graham, D.W.","Thatikonda, S.","Kreft, J."],"funder":["Natural Environment Research Council","University Grant Commission (UGC), India","Department of Biotechnology (DBT), India"],"givenName":["Vikas","Arun","Rebeca","Sai Sugitha","Ankit","Cansu","Sangeetha","Pranab Kumar","Joshua","David W","Shashidhar","Jan-Ulrich"],"grant":["NE/T013222/1","F.82-1/2018 (SA-III)","BT/IN/Indo-UK/AMR-Env/03/ST/2020-21"],"identifier":"42e992f7-67b1-44dd-90de-f5990269b00e","incomingCitationCount":0,"keyword":["Hyderabad","Water quality","Environmental risk","Environmental survey","Pollution","antimicrobial resistance","antibiotic resistance","Antibiotic resistant bacteria","Antibiotic resistance genes","Wastewater","River","Urban"],"keywordsOther":["antimicrobial resistance","antibiotic resistance","Antibiotic resistant bacteria","Antibiotic resistance genes","Wastewater","Pollution","River","Urban","Water quality"],"keywordsPlace":["Hyderabad"],"keywordsTheme":["Water quality","Environmental risk","Environmental survey","Pollution"],"licence":"Open government licence","lineage":"Water and sediment grab samples were collected at 10 locations along the Musi River, 1 upstream of the city (relatively clean), 8 within the city of Hyderabad (heavily polluted) and 2 downstream (pollution partially cleared), during the wet (18-19 August 2022) and dry (11-12 March 2023) seasons. Sampling occurred on days without rainfall for the preceding five days to minimize storm-related variability. At most sites, duplicate water samples were collected mid-stream from bridges using a bucket suspended on a rope and transferred to pre-sterilised bottles. Sub-samples were preserved immediately with H2SO4 for chemical oxygen demand (COD) analysis, whereas water temperature, pH, dissolved oxygen (DO), TDS and conductivity were measured on-site.\n\nWater quality and sediment physicochemical parameters were measured using standard protocols. Dry matter (DM) and organic matter (OM) fractions were quantified using standard methods to establish a common basis for concentrations of bacteria and genes across sediment samples with different mineral content. Viable counts were taken on different media. E. coli was quantified on Tryptone Bile X-β-D-glucuronide agar as blue-green colonies, incubated at 44°C, as an indicator of faecal pollution and sentinel for AMR prevalence. 'Total' Gram-negative (GN) heterotrophic bacteria were enumerated on SDS-supplemented OECD synthetic sewage medium (OSS) at both 30°C for environmental and 44°C for gut-associated bacteria. Extended-spectrum β-lactamase (ESBL)-producing and carbapenem-resistant (CARB) GN heterotrophic subpopulations were enumerated on OSS supplemented with appropriate selective antibiotics. These clinically relevant resistance phenotypes were selected as GN bacteria account for the majority of global AMR-attributable mortality. All samples were plated in triplicate within 24 hours of collection, and colony counts recorded after 24 hours of incubation.\n\nDNA from both water and sediment samples was extracted within 24 hours of sampling. Using qPCR, the 16S rDNA gene was quantified as a proxy for total prokaryotes and to compare with culturing data. Antimicrobial resistance genes (ARGS) included genes coding for resistance to fluoroquinolones (qnrS), aminoglycosides (aph(3'')-Ib), sulfonamides (sul2), carbapenems and third-generation cephalosporins (blaNDM and blaCTX-M), macrolides (ermF), and tetracyclines (tetW). Two more genes were included: uidA to quantify E. coli numbers and intI1 to quantify class I integrons as a proxy for mobile genetic elements (MGEs). \n\nSynthetic DNA fragments containing suites of target genes were used as positive controls and to create standard curves, for which ten-fold serial dilutions of gene fragments were performed in DNase/RNase-free water. Every sample was analysed in technical duplicates. Standard curves were included in each PCR plate with at least seven serial dilution points and technical duplicates. A joint standard curve based on standard curves from every run was created for every gene set. Concentrations of genes in the samples were then calculated using this joint standard curve.","locations":["POLYGON((78.3 17.2, 78.3 17.4, 79.5 17.4, 79.5 17.2, 78.3 17.2))"],"metadataDate":"2026-06-29T17:05:53.000Z","orcid":["https://orcid.org/0000-0002-1011-1164","https://orcid.org/0009-0009-4060-7409","https://orcid.org/0000-0002-2960-9368","https://orcid.org/0009-0008-4349-5871","https://orcid.org/0000-0003-4667-4839","https://orcid.org/0000-0001-9828-0458","https://orcid.org/0000-0002-3297-3486","https://orcid.org/0000-0002-0650-7369","https://orcid.org/0000-0002-9753-496X","https://orcid.org/0000-0003-2973-2224","https://orcid.org/0000-0002-2351-224X"],"organisation":["University of Birmingham","Indian Institute of Technology Hyderabad, India","Indian Institute of Technology, Hyderabad, India","Newcastle University","Indian Institute of Technology Gandhinagar, India","Indian Institute of Technology Hyderabad","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/42e992f7-67b1-44dd-90de-f5990269b00e","10.5285/42e992f7-67b1-44dd-90de-f5990269b00e","doi:10.5285/42e992f7-67b1-44dd-90de-f5990269b00e"],"resourceType":"Dataset","rightsHolder":["Indian Institute of Technology Hyderabad","University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprises all standard water quality parameters (including chemical oxygen demand, pH, dissolved oxygen, total dissolved solids), viable counts of heterotrophic bacteria and resistant bacteria and Escherichia coli, qPCR measured concentrations of 7 antibiotic…","state":"published","title":"Water quality measurements and antimicrobial resistance in the Musi River, Hyderabad, India, 2022-2023","topic":["0/Water quality/","0/Environmental risk/","0/Environmental survey/","0/Pollution/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorGivenName":["M.","T.","S.","C.","I.","Z.","D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey sites (timed counts, single-species transects, larval web and egg counts). Data includes the location within the UK, the length and number of sections for the butterfly transect on each site and the number of years each transect has been monitored. The location of some sites are sensitive and are excluded from this dataset.  A full set of UKBMS monitoring sites is available in a separate dataset requested via the UKBMS website.\nThe UKBMS started in 1976 with fewer than 50 sites. Since then the number of sites monitored each year has increased to several thousand. There are year new sites each and a small number where the transect is no longer surveyed.  Details of this are provided in the site dataset in the form of the first and last year in which each site was surveyed. \n\nThe majority of site data is provided by recorders at the time a transect is created. Site data are crucial in order to determine where extra recording effort is required and to investigate where butterfly populations are changing most and thus where conservation should be targeted, including across different habitat types.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), 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","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"funder":["Natural Environment Research Council"],"givenName":["M.","T.","S.","C.","I.","Z.","D.B.","Marc","Tom"],"grant":["NE/R016429/1"],"identifier":"8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","incomingCitationCount":1,"keyword":["Biodiversity","UK-SCAPE","Wales","United Kingdom","Scotland","England","Northern Ireland","lepidopteran","butterfly"],"keywordsOther":["UK-SCAPE","Wales","United Kingdom","Scotland","England","Northern Ireland","lepidopteran","butterfly"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:28:35.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","10.5285/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","doi:10.5285/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey…","state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: site location data 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Swansea University","University of Melbourne"],"authorFamilyName":["Neris","Doerr","Santin","Sanchez-Garcia","Sheridan"],"authorFullName":["Neris, J.","Doerr, S.H.","Santin, C.","Sanchez-Garcia, C.","Sheridan, G.J."],"authorGivenName":["J.","S.H.","C.","G.J."],"authorOrcid":["https://orcid.org/0000-0002-8754-9236","https://orcid.org/0000-0002-8700-9002 ","https://orcid.org/0000-0001-9901-2658","https://orcid.org/0000-0001-6753-243X","https://orcid.org/0000-0003-1755-7334 "],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes temperature and precipitation depth measurements in 10 min intervals taken in 2 locations and time periods after forest fires:\n-\tMadre del Agua (Tenerife, Spain): 17/11/20 to 19/11/2021\n-\tThompson reservoir (Victoria, Australia): 28/03/19 to 13/01/2020\nData was collected using RainWise Rainew raingauges coupled to Onset HOBO pendant dataloggers (UA-003-64) to monitor environmental parameters related to runoff occurrence.\n","documentType":"GEMINI_DOCUMENT","familyName":["Neris","Doerr","Santin","Sanchez-Garcia","Sheridan"],"fullName":["Neris, J.","Doerr, S.H.","Santin, C.","Sanchez-Garcia, C.","Sheridan, G.J."],"funder":["Natural Environment Research Council"],"givenName":["J.","S.H.","C.","G.J."],"grant":["NE/R011125/1"],"identifier":"26774f3b-d535-4800-97e4-f2fc7cf9b2da","incomingCitationCount":0,"keyword":["fire","wildfires","temperature","atmospheric precipitation","climatic parameters","runoff","erosion"],"keywordsOther":["fire","wildfires","temperature","atmospheric precipitation","climatic parameters","runoff","erosion"],"licence":"Open government licence","lineage":"Data was collected using RainWise Rainew raingauges coupled to Onset HOBO pendant dataloggers (UA-003-64). The raingauges were installed at 1.5 m over the ground surface and in open areas to avoid precipitation interception by vegetation. Data was downloaded periodically. No data analysis was conducted at this stage.","locations":["POLYGON((-16.615 -37.86, -16.615 28.207, 146.416 28.207, 146.416 -37.86, -16.615 -37.86))"],"metadataDate":"2026-06-29T18:07:21.000Z","orcid":["https://orcid.org/0000-0002-8754-9236","https://orcid.org/0000-0002-8700-9002 ","https://orcid.org/0000-0001-9901-2658","https://orcid.org/0000-0001-6753-243X","https://orcid.org/0000-0003-1755-7334 "],"organisation":["Swansea University","University of Melbourne","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26774f3b-d535-4800-97e4-f2fc7cf9b2da","10.5285/26774f3b-d535-4800-97e4-f2fc7cf9b2da","doi:10.5285/26774f3b-d535-4800-97e4-f2fc7cf9b2da"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes temperature and precipitation depth measurements in 10 min intervals taken in 2 locations and time periods after forest fires:\n-\tMadre del Agua (Tenerife, Spain): 17/11/20 to 19/11/2021\n-\tThompson reservoir (Victoria, Australia): 28/03/19 to 13/01/2020\nData…","state":"published","title":"High-resolution temperature and precipitation measurements for fire-affected locations in Australia (2019-2020) and Tenerife (2020-2021)","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Liverpool","The Natural History Museum","The University of Western Australia"],"authorFamilyName":["Griffiths","Ashton","Walker","Hasan","Evans","Eggleton","Parr"],"authorFullName":["Griffiths, H.M.","Ashton, L.A.","Walker, A.E.","Hasan, R.","Evans, T.","Eggleton, P.","Parr, C.L."],"authorGivenName":["H.M.","L.A.","A.E.","R.","T.","P.","C.L."],"authorRor":["https://ror.org/04xs57h96"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This resource comprises a time series dataset of ant and other invertebrate abundance measured fortnightly at bait monitoring cards on an experimental plot in the Maliau Basin Conservation Area, Malaysian Borneo.  The resource includes data regarding the amount of food resource removed from experimental plots when either ants or vertebrates were excluded from the resource. The data were collected to assess the roles that the different groups (ants, invertebrates, vertebrates) play in ecosystem function, and the capacity for functional redundancy within and between these groups.  Data were collected between 2014 and 2016 during a project run by the University of Liverpool, which was part of the NERC Human-modified tropical forest (HMTF) Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Ashton","Walker","Hasan","Evans","Eggleton","Parr"],"fullName":["Griffiths, H.","Griffiths, H.M.","Ashton, L.A.","Walker, A.E.","Hasan, R.","Evans, T.","Eggleton, P.","Parr, C.L."],"funder":["Natural Environment Research Council"],"givenName":["Hannah","H.M.","L.A.","A.E.","R.","T.","P.","C.L."],"identifier":"5321bc6e-be35-4ed3-9b56-25598d61ac8f","incomingCitationCount":1,"keyword":["Malaysian Borneo","HMTF","Human-modified tropical forest","Animal behaviour","ants","invertebrate"],"keywordsOther":["ants","invertebrate"],"keywordsPlace":["Malaysian Borneo"],"keywordsProject":["HMTF","Human-modified tropical forest"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Data were collected fortnightly from the experimental field site in Malaysian Borneo as part of a project run by the University of Liverpool.  See supporting documentation for further details. ","locations":["POLYGON((116.954 4.742, 116.954 4.777, 116.998 4.777, 116.998 4.742, 116.954 4.742))"],"metadataDate":"2026-06-29T16:38:57.000Z","organisation":["University of Liverpool","The Natural History Museum","The University of Western Australia","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5321bc6e-be35-4ed3-9b56-25598d61ac8f","10.5285/5321bc6e-be35-4ed3-9b56-25598d61ac8f","doi:10.5285/5321bc6e-be35-4ed3-9b56-25598d61ac8f"],"resourceType":"Dataset","rightsHolder":["University of Liverpool"],"ror":["https://ror.org/04xs57h96","https://ror.org/04xw4m193"],"shortenedDescription":"This resource comprises a time series dataset of ant and other invertebrate abundance measured fortnightly at bait monitoring cards on an experimental plot in the Maliau Basin Conservation Area, Malaysian Borneo.  The resource includes data regarding the amount of food…","state":"published","title":"Invertebrate activity data from an experiment in Malaysian Borneo, 2014-16 [HMTF]","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"These data sets provide chemical and biological data from common monitoring sites across the Thames Catchment.  They comprise of comprehensive weekly water quality data at multiple sites along the River Thames and its tributaries, intermittently from 1997 to 2007 (UK Lowland River Chemistry data set), and then continuously at 22 monitoring sites at weekly intervals (from March 2009 to February 2013) as part of the CEH Thames Initiative Programme. These two chemistry data sets cover a period of rapid change in water quality across the Thames catchment, due largely to improvements in sewage treatment.\n\nIn addition, organic pollutant concentrations (11 antibiotics, 3 decongestants and an antiviral) at 21 of the CEH Thames Initiative sites from November 2009 to May 2011, and species-level macrinvertebrate community and habitat data from 14 CEH Thames Initiative sites (2009-2010) are provided. These matched observations allow links between organic and inorganic pollution to be investigated at common sites, and how these pollutants impact on river invertebrate community structure.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bowes"],"fullName":["Bowes, M."],"givenName":["M."],"identifier":"70baf58a-baec-45fb-958a-e6883f7f9f02","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-1.846 51.253, -1.846 52.176, -0.503 52.176, -0.503 51.253, -1.846 51.253))"],"metadataDate":"2025-03-21T09:41:03.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/70baf58a-baec-45fb-958a-e6883f7f9f02"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data sets provide chemical and biological data from common monitoring sites across the Thames Catchment.  They comprise of comprehensive weekly water quality data at multiple sites along the River Thames and its tributaries, intermittently from 1997 to 2007 (UK…","state":"published","title":"Water quality and biological data from the River Thames and its tributaries (1997 to 2013)","version":1.0,"view":["public","nuri"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}