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Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T06:57:32.000Z","orcid":["0000-0003-4912-5026","0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c3ad803-fbd4-45c3-826b-fa04c902ded8","10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8","doi:10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin,…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Newcastle University","Macaulay Land Use Research Institute "],"authorFamilyName":["Griffiths","Whiteley","O'Donnell","Bailey","Buckland"],"authorFullName":["Griffiths, R.I.","Whiteley, A.S.","O'Donnell, A.G.","Bailey, M.J.","Buckland, S.M."],"authorGivenName":["R.I.","A.S.","A.G.","M.J.","S.M."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data comprise substrate utilisation profiles (using the BIOLOG gram-negative method) and moisture content data from soil sampled in an upland grassland experiment at Sourhope, Scotland.  BIOLOG-GN (gram-negative) substrate utilisation analyses were used to give an indication of the ability of a subset of the bacterial community to utilise various carbon sources. These data include both temporal and spatial diversity in different depths of semi-natural grassland soil cores collected at different sample dates.  Samples were collected in July 1999, October 1999, April 2000 and August 2000.\n\nData were collected as part of the NERC Soil Biodiversity Thematic Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute)'s farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).  During this time, the site was monitored to assess changes in aboveground biomass production (productivity), species composition and relative abundance (diversity). ","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Whiteley","O'Donnell","Bailey","Buckland"],"fullName":["Griffiths, R.I.","Whiteley, A.S.","O'Donnell, A.G.","Bailey, M.J.","Buckland, S.M.","Griffiths, R."],"funder":["Natural Environment Research Council"],"givenName":["R.I.","A.S.","A.G.","M.J.","S.M.","R."],"identifier":"c42b0e3b-69e4-4941-addf-20c2e0612c58","incomingCitationCount":0,"keyword":["Sourhope","Scottish borders","Soil","microbes","soil","soil moisture"],"keywordsOther":["microbes","soil","soil moisture"],"keywordsPlace":["Sourhope","Scottish borders"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute)'s farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). \n\nData were collected by scientists employed by Centre for Ecology & Hydrology, University of Newcastle-upon-Tyne and MLURI, and were managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.237 55.468, -2.237 55.475, -2.222 55.475, -2.222 55.468, -2.237 55.468))"],"metadataDate":"2026-07-25T14:01:37.000Z","organisation":["Centre for Ecology & Hydrology","Newcastle University","Macaulay Land Use Research Institute ","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c42b0e3b-69e4-4941-addf-20c2e0612c58","10.5285/c42b0e3b-69e4-4941-addf-20c2e0612c58","doi:10.5285/c42b0e3b-69e4-4941-addf-20c2e0612c58"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise substrate utilisation profiles (using the BIOLOG gram-negative method) and moisture content data from soil sampled in an upland grassland experiment at Sourhope, Scotland.  BIOLOG-GN (gram-negative) substrate utilisation analyses were used to give…","state":"published","supplementalDescription":["Website for the NERC Soil Biodiversity Programme ","Griffiths, R. I., Whiteley, A. S., O'Donnell, A. G., and Bailey, M. J. (2003). Influence of depth and sampling time on bacterial community structure in an upland grassland soil. FEMS Microbiology Ecology 43: 35-43. ","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113. "],"supplementalName":["Soil Biodiversity website ","Influence of depth and sampling time on bacterial community structure in an upland grassland soil. 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All chemical analysis was carried out by the Nutrient Chemistry Laboratories at CEH Wallingford.  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Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity,…","state":"published","supplementalDescription":["Bowes, M. J., Armstrong, L. K., Harman, S. A., Wickham, H. D., Nicholls, D. J. E., Scarlett, P. M., Roberts, C., Jarvie, H. P., Old, G. H., Gozzard, E., Bachiller-Jareno, N., & Read, D. S. (2018). Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform. Earth System Science Data, 10(3), 1637–1653. https://doi.org/10.5194/essd-10-1637-2018\n"],"temporalExtentText":"Data collected from 2009 to 2023","title":"Weekly water quality data from the River Thames and its major tributaries, 2009-2023","topic":["0/Environmental risk/","0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"authorGivenName":["L","H","R","M","C"],"authorOrcid":["0000-0003-2530-2120"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony forming units (CFUs) of S. Typhimurium on the plastics after destructive sampling of the mesocosm jars. The results of a  flooding and leachate experiment are also included, containing transfer potential and leachate gradients of S. Typhimurium in each soil under ambient, and flooding conditions. Water was added to soil columns containing the microbeads to simulate flooding, and the CFUs in the water and on virgin plastics were measured to determine transfer potential. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken at each time point.\n\nThis dataset was created as part of a study investigating how human pathogens enter agricultural environments via flooding or contaminated irrigation, and to determine the survivability of S. 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For the persistence experiment jars were filled with two soil types and microplastic beads were mixed with the soils and left. At each time point destructive sampling was used to recover the beads and measure the surviving CFUs of S. Typhimurium on the plastics. In the flooding and leachate experiment, water was added to columns containing beads and the CFUs recovered in the water was recorded (flooding) and CFUs on virgin plastics was used to measure transfer. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and  in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken each at each time point.\n","metadataDate":"2026-07-24T18:59:56.000Z","orcid":["0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","doi:10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. 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"],"temporalExtentText":"Data collected from 2023 to 2023","title":"Survival rates and transfer potential measurements of Salmonella enterica Serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils","topic":["0/Environmental risk/","0/Pollution/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This view shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The data consists of 23 bands. Each band represents a target class, broadly representing a Broad Habitat, and within the band each 1km pixel represents a percentage cover value of that class. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["Dan"],"identifier":"5ff7f210-22d9-11e4-8c21-0800200c9a66","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-08-12T11:42:05.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5ff7f210-22d9-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This view shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The data consists of 23 bands. Each band represents a target class, broadly representing a Broad Habitat, and within the band each 1km pixel represents a percentage cover value…","state":"published","title":"Land Cover Map 2007 (1km percentage target class, GB) v1.2 Web Map Service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Cambridge"],"authorFamilyName":["Bentley","Coomes"],"authorFullName":["Bentley, L.","Coomes, D.A."],"authorGivenName":["L.","D.A."],"authorOrcid":["0000-0001-5055-7673","0000-0002-8261-2582"],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset reports the responses of annual river flow to forestation in 43 catchments and contains 770 data points. Data shows the change in river flow following forestation at annual time scales, along control river flow measurements and associated metadata from primary and secondary sources. Data collection, processing and interpretation were performed by Laura Bentley and David A. Coomes between January 2018 and October 2019. \n\n Forestation was defined as a change in land cover from a stable, non-forested state to a forested one, independent of the long-term history of forest cover. Paired measurements of annual river flow following forestation (mm) and river flow under control land cover conditions (mm) are provided for each year that the catchment dataset satisfied our inclusion criteria.  River flow response is provided as both an absolute difference (mm) and as a percentage of control flow in the same year. Estimates of catchment annual precipitation, annual potential evapotranspiration, forest age, forest area, and the year of study are provided for each river flow response data point. Metadata are provided concerning catchment land cover history, land use history, catchment area, forest type, average climate and the method of forest establishment. The dataset contains catchments that were planted with trees and catchments in which forest cover regenerated without planting. Historical forest cover was reported in some catchments, and not reported in others. The 43 catchments a distributed unevenly across the globe, in 13 countries. The length of time series for each catchment varies from 2 years to 57 years, with and average duration of 19 years. \n","documentType":"GEMINI_DOCUMENT","familyName":["Bentley","Coomes"],"fullName":["Bentley, L.","Coomes, D.A."],"funder":["Natural Environment Research Council"],"givenName":["L.","D.A.","Laura"],"identifier":"5baa5d91-d552-4fc6-8a8c-29ae45192d77","incomingCitationCount":1,"keyword":["Environmental survey","River flow"],"keywordsOther":["River flow"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The database was generated through a systematic search of published literature, conducted via Web of Science (1900-4th January 2018). Data was extracted from single and paired catchment studies identified in our search and from papers reviewed by Farley, Jobbágy, & Jackson (2005). \n\nCorrections were applied to control river flow values, based on linear regression, where extracted data had not been corrected for differences in climate and/or catchment between the two raw river flow data sets. Any single catchment studies that used a mechanistic catchment model to predict river flow had to report validation analyses for that model for the study to be incorporated. Studies were not included if treatments were a combination of deforestation and forestation, or if the study was a retrospective investigation of a known decrease in river flow.\n\nControl river flow, treatment river flow, and river flow response to forestation (treatment minus control) are reported in millimetres. River flow response is also reported as a percentage of control river flow in the same year. Additional climate data was extracted from CRU TS4.3 (Harris, Jones, Osborn, & Lister, 2014) using the location and extent of the experimental catchment and are reported in millimetres. The age of the established forest (years) was calculated as an area weighted mean. Where the change in forest area was not reported between two years of known forest area, the rate of expansion was assumed constant. Change in forest area is reported as a cumulative percentage of catchment area for each time series. All other variables are defined in the associated metadata. Some data sources did not report all information required by categorical data fields, and this is indicated by ‘NR’ (not reported). Where river flow and climatic data were reported graphically, these were extracted using PlotDigitizer (Huwaldt, 2015). River flow and precipitation measurements reported at a greater than annual frequency were aggregated to annual time scales prior to entry into the dataset.\nFor further detail regarding the production of this data set, please refer to Bentley, L. & Coomes, D. (2020) Partial river flow recovery with forest age is rare in the decades following establishment Global Change Biology. DOI 10.1111/gcb.14954.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T23:09:16.000Z","orcid":["0000-0001-5055-7673","0000-0002-8261-2582"],"organisation":["University of Cambridge","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5baa5d91-d552-4fc6-8a8c-29ae45192d77","10.5285/5baa5d91-d552-4fc6-8a8c-29ae45192d77","doi:10.5285/5baa5d91-d552-4fc6-8a8c-29ae45192d77"],"resourceType":"Dataset","ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset reports the responses of annual river flow to forestation in 43 catchments and contains 770 data points. Data shows the change in river flow following forestation at annual time scales, along control river flow measurements and associated metadata from…","state":"published","supplementalDescription":["Farley, K. A., Jobbágy, E. G., & Jackson, R. B. (2005). Effects of afforestation on water yield: A global synthesis with implications for policy. Global Change Biology, 11(10), 1565-1576. ","Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014). Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset. International Journal of Climatology, 34(3), 623-642. ","Huwaldt, J. A. (2015). Plot Digitizer "],"temporalExtentText":"Data collected from 1900 to 2018","title":"Derived global responses of annual river flow to catchment forestation through time, between 1900 and 2018","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 25m raster version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  This is the most detailed of the LCM2015 raster products both thematically and spatially, and it is used to derive the 1km products. The 25m raster product consists of two bands:  Band 1 - raster representation of the majority (dominant) class per polygon for 21 target habitat classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information).  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. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.\n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"47f053a0-e34f-4534-a843-76f0a0998a2f","incomingCitationCount":3,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 25m raster product is the most detailed of the LCM2015 raster products, both thematically and spatially, and it is derived from the LCM2015 vector product. For LCM2015 per-pixel classifications were conducted, using a random forest classification algorithm. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon.\nThe 25m raster product consists of two bands:\n- Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes\n- Band 2 - mean per polygon probability as reported by the Random Forest classifier\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T21:18:16.000Z","orcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47f053a0-e34f-4534-a843-76f0a0998a2f","10.5285/47f053a0-e34f-4534-a843-76f0a0998a2f","doi:10.5285/47f053a0-e34f-4534-a843-76f0a0998a2f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 25m raster version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  This is the most detailed of the LCM2015 raster products both thematically and spatially, and it is used to derive the 1km products. The 25m raster product consists…","state":"published","temporalExtentText":"Data collected from 2014 to 2015","title":"Land Cover Map 2015 (25m raster, N. Ireland)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Southampton"],"authorFamilyName":["Wood","Hawkins","Godbold","Solan"],"authorFullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"authorGivenName":["C.L.","S.J.","J.A.","Martin"],"authorRor":["https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details total abundance (TA), total biomass (TB), species richness (SR) and evenness (J) [all based on abundance and biomass] and community bioturbation potential (BPc) across six intertidal sites in the winter and summer of 2013. The data provide metrics relating to the macrofaunal communities present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other three in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering four spatial scales. Three replicate cores of sediment were collected at each quadrat. They were sieved on a 0.5mm mesh and the macrofauna was removed, identified to species (or appropriate taxon) and individuals were identified to species (or most appropriate taxon), counted and weighed. The resulting abundance and biomass data were then used to calculate TA, TB, SR, J (based on abundance and biomass) and BPc.\n\nThe data for mudflat habitats across Essex and Morecambe are complete, however, saltmarsh data is only available for one full Essex site (Tillingham Marsh), in one season (Winter) and across all sites, at the 1m scale.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.\n","documentType":"GEMINI_DOCUMENT","familyName":["Wood","Hawkins","Godbold","Solan"],"fullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.J.","J.A.","Martin"],"grant":["NE/J015644/1"],"identifier":"f7bad4d2-aef2-4db6-be34-adbe185b88c3","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","macrofauna","total biomass","total abundance","species richness","evenness","bioturbation","community bioturbation potential","BPc","mudflat","season","spatial scale","BESS","CBESS","salt marsh","sediment","benthic ecosystem","intertidal zone","biodiversity","species","biomass","ecological abundance"],"keywordsOther":["macrofauna","total biomass","total abundance","species richness","evenness","bioturbation","community bioturbation potential","BPc","mudflat","season","spatial scale","BESS","CBESS","salt marsh","sediment","benthic ecosystem","intertidal zone","biodiversity","species","biomass","ecological abundance"],"keywordsPlace":["Morecambe Bay","Essex"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).\n\n3 cylindrical cores of sediment (10cm depth and diameter) were taken at each quadrat and fixed in 4 percent buffered formalin in seawater. The cores were then sieved on a 0.5mm mesh and the residue retained and preserved in 70 percent Industrial Methylated Spirit (IMS). Using a stereo microscope, all the animals were picked out of the residue, identified to species level (or appropriate taxon). To obtain the abundance data, each individual of each species was counted and stored in vials containing 70 percent IMS. In cases where specimens had been damaged (any badly damaged specimens or parts of specimens where no head was present were separated into major group debris (annelid, mollusc and crustacea) pots and a YES/NO presence noted. To obtain the biomass data, the individuals of each taxon (from one replicate) were blotted on tissue paper to remove any excess IMS. They were then weighed on a balance and the weight was recorded to 0.0001g. In situations where the animals were too light to register on the balance, a weight of 0.0001g was recorded. (The same method was used to obtain biomass values for major group debris.) The data were then multiplied by 127.323955 to give results in metres squared (rounded to the nearest whole individual for abundance and nearest 0.0001g for biomass). The abundance and biomass data was then used to calculate each metric as follows:\n\nTA = sum of abundance of all species per m squared.\n\nTB = sum of biomass of all species per m squared.\n\nSR = total number of species per m squared.\n\nJ (abundance) = Pielou's evenness based on abundance = H/Hmax Where H = Shannon Weiner Index calculated from abundance and Hmax = maximum diversity possible = lnSR.\n\nJ (biomass) = Pielou's evenness based on biomass = H/Hmax Where H = Shannon Weiner Index calculated from biomass and Hmax = maximum diversity possible = lnSR.\n\nBPc = Sum of all BPp of all species per m squared where BPp = BPi x Ai Where Ai = Individual species abundance per m squared and BPi = (square root Bi) x Mi x Ri Where Bi = individual biomass per m squared. Mi = individual species mobility. Ri = individual species reworking.\n","locations":["POLYGON((-3 51.5, -3 54.25, 1 54.25, 1 51.5, -3 51.5))"],"metadataDate":"2026-09-15T08:44:51.000Z","organisation":["University of Southampton","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7bad4d2-aef2-4db6-be34-adbe185b88c3","10.5285/f7bad4d2-aef2-4db6-be34-adbe185b88c3","doi:10.5285/f7bad4d2-aef2-4db6-be34-adbe185b88c3"],"resourceType":"Dataset","rightsHolder":["University of Southampton"],"ror":["https://ror.org/01ryk1543","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details total abundance (TA), total biomass (TB), species richness (SR) and evenness (J) [all based on abundance and biomass] and community bioturbation potential (BPc) across six intertidal sites in the winter and summer of 2013. The data provide metrics…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) macrofaunal community metrics - total abundance (TA), total biomass (TB), species richness (SR), evenness (J) and community bioturbation potential (BPc) in mudflat and saltmarsh habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Plymouth","Bangor University"],"authorFamilyName":["Hanley","Kent","Courtene-Jones","Plessis","Thompson"],"authorFullName":["Hanley, M.E.","Kent, R.","Courtene-Jones, W.","Plessis, A.","Thompson, R.C."],"authorGivenName":["M E","R","W","A","R C"],"authorOrcid":["0000-0002-3966-8919","0000-0001-7893-5322","0000-0002-1083-7459","0000-0003-2262-6621"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/006jb1a24"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about the responses of three white clover (Trifolium repens) cultivars (Aber Ace, Aber Hera & Aber Swan) when exposed to microplastic particles made from agricultural mulch films. Newly germinated seedlings were grown in soils containing field-relevant concentrations (0.1% & 0.2%) from either conventional (polyethylene) and biodegradable (polylactic acid /polybutylene adipate terephthalate blend) mulches for three months in an unheated greenhouse. Clover performance was assessed by measuring photosynthetic efficiency (Fv/Fm), stolon number, rhizobia nodule density, and root and shoot dry weight biomass. \n\nThe work was part of the Natural Environment Research Council funded 'BIO-PLASTIC-RISK' (NE/V007556/1) project and specifically the aims of WP 4 to establish the potential toxicity of bioplastic fragments in the marine and agricultural environment.","documentType":"GEMINI_DOCUMENT","familyName":["Hanley","Kent","Courtene-Jones","Plessis","Thompson"],"fullName":["Hanley, M.E.","Kent, R.","Courtene-Jones, W.","Plessis, A.","Thompson, R.C.","Mick Hanley"],"funder":["Natural Environment Research Council"],"givenName":["M E","R","W","A","R C"],"grant":["NE/V007556/1"],"identifier":"9783bbdd-965a-491e-8b58-9bd9af59b63d","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Pollution","Soil","biodegradable pollutant","Microplastics","mulch","Trifolium repens","Polybutylene adipate terephthalate","Polylactic acid","Polyethylene"],"keywordsOther":["biodegradable pollutant","Microplastics","mulch","Trifolium repens","Polybutylene adipate terephthalate","Polylactic acid","Polyethylene"],"keywordsTheme":["Agriculture","Environmental risk","Pollution","Soil"],"licence":"Open government licence","lineage":"Experimental design/sampling regime\nTwo commercially available mulch films were selected composed of conventional polyethylene (PE) (12 µm thickness) and a polylactic acid/polybutylene adipate terephthalate (PLA/PBAT) blend (15 µm thickness). Both mulch films were prepared by first cutting into 1.5 cm² fragments before processing into microplastics. The milled material was size fractionated using stainless steel sieves and shaker to retain particles ranging from 250 to 2000 μm. Microplastics were 'dry-dosed' into a locally sourced, pre-sieved (4mm) clay loam soil. Depending on dosage, 1000 mg (0.1%) or 2000 mg (0.2%) of microplastics were added to 1000 g of dried soil and thoroughly mixed.\nImmediately after germination one seedling per clover cultivar (Aber Ace, Aber Hera, Aber Swan) was transplanted individually into each of ten 70 mm x 70 mm x 85 mm (deep) pots containing approximately 276 g of soil with PE or PLA/PBAT blend at 0.1% or 0.2% concentration, with a further ten seedlings per cultivar planted into unamended soil (the Control). These pots were randomly arranged on a wire-mesh bench (to prevent cross-contamination of plastics) in an unheated greenhouse with natural light for three months (May - July 2024). The mean daily minimum and maximum temperatures during this period were 12.6 °C (± 0.7) and 24.3 °C (± 0.3), respectively. Pots were watered to capacity and their positions re-randomised weekly. The Fv/Fm samples were collected from all plants the day prior to the end of the experiment. All plants (i.e., ten replicates per plastic treatment per cultivar) were harvested at termination for sampling.\n\nCollection/Generation/Transformation methods\nWe assessed Fv/Fm ratios as a measure of leaf photosynthetic efficiency by dark adapting one leaf on each individual plant with clips for thirty minutes prior to taking Fv/Fm readings using a Hansatech PEA chlorophyll fluorimeter. Upon termination of the experiment, the plants were cleaned of any adhering compost before roots and shoots were separated and oven-dried at 50 °C for 48 h before weighing to determine plant root, shoot and total dry weight biomass. Immediately before drying, we quantified the number of stolons produced by each plant and also selected the longest root branch to quantify the number of rhizobia nodules per unit root length. Data were noted on paper and then transcribed to Excel spreadsheets before conversion to csv format for data storage. Root:Shoot and Fv/Fm ratios were logit-transformed prior to analysis.","metadataDate":"2026-07-25T10:19:47.000Z","orcid":["0000-0002-3966-8919","0000-0001-7893-5322","0000-0002-1083-7459","0000-0003-2262-6621"],"organisation":["University of Plymouth","Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9783bbdd-965a-491e-8b58-9bd9af59b63d","10.5285/9783bbdd-965a-491e-8b58-9bd9af59b63d","doi:10.5285/9783bbdd-965a-491e-8b58-9bd9af59b63d"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/008n7pv89","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the responses of three white clover (Trifolium repens) cultivars (Aber Ace, Aber Hera & Aber Swan) when exposed to microplastic particles made from agricultural mulch films. Newly germinated seedlings were grown in soils containing…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"White clover growth responses to soil microplastics derived from conventional and biodegradable agricultural mulch films","topic":["0/Agriculture/","0/Environmental risk/","0/Pollution/","0/Soil/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Instituto Nacional de Pesquisas Amazonicas","Universidade do Estado do Mato Grosso ","James Cook University","Universidade do Estado do Mato Grosso","Universidad Autónoma Gabriel René Moreno"],"authorFamilyName":["Feldpausch","Aragão","Phillips","Quesada","Marimon","Marimon-Júnior","Oliveira","Bird","Morandi","Murakami","Arroyo","Haig"],"authorFullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Quesada, C.A.","Marimon, B.S.","Marimon-Júnior, B.H.","Oliveira, E.A.","Bird, M.","Morandi, P.S.","Murakami, A.A.","Arroyo, L.","Haig, J."],"authorGivenName":["T.R.","L.E.O.C.","O.L.","C.A.","B.S.","Ben Hur","E.A","M.","P.S.","A.A.","L.","J."],"authorOrcid":["0000-0002-6631-7962","0000-0002-4134-6708","0000-0002-8993-6168","0000-0001-7178-9713","0000-0003-3105-2914","0000-0002-6359-6281","0000-0002-6446-3376","0000-0003-1801-8703","0000-0001-8151-7738","0000-0001-6151-8995","0000-0003-2203-2882","0000-0003-1350-522X"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/04gsp2c11","https://ror.org/01w17ks16"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements of soil pyrogenic carbon, ratio of %PyC to %Bulk Carbon and organic carbon, which were collected in a soil fertility gradient in the Amazon Basin. All samples were taken in old-growth forests. In total, 49 forest plots were sampled and analysed for PyC soil concentration, representing 395 soil samples. ","documentType":"GEMINI_DOCUMENT","familyName":["Feldpausch","Aragão","Phillips","Quesada","Marimon","Marimon-Júnior","Oliveira","Bird","Morandi","Murakami","Arroyo","Haig"],"fullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Quesada, C.A.","Marimon, B.S.","Marimon-Júnior, B.H.","Oliveira, E.A.","Bird, M.","Morandi, P.S.","Murakami, A.A.","Arroyo, L.","Haig, J.","Feldpausch, T."],"funder":["Natural Environment Research Council","Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Coordination for the Improvement of Higher Education Personnel, CAPES, Brazil)","National Council for Technological and Scientific Development (CNPq), Brazil","Coordination of Improvement of Personnel in Higher Education, Brazil (CAPES)"],"givenName":["T.R.","L.E.O.C.","O.L.","C.A.","B.S.","Ben Hur","E.A","M.","P.S.","A.A.","L.","J.","Ted","E.A."],"grant":["NE/N011570/1","PVE177-2012","441244/2016-5","441572/2020-0","457602/2012-0","0346321/2021","88887.504562/2020-00","151226/2021-0"],"identifier":"6410a578-d21a-4285-8e9c-57efbe2b60d5","incomingCitationCount":2,"keyword":["Amazon","Soil","Pyrogenic carbon","fire","tropical forest","carbon"],"keywordsOther":["Pyrogenic carbon","fire","tropical forest","carbon"],"keywordsPlace":["Amazon"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"We analysed 395 soil samples for pyrogenic and organic carbon. These samples were collected in 49 plots of old-growth forest distributed in a gradient of fertility in the Amazon Basin. \nFrom these 49 forest plots, 37 plots were previously sampled, with soil samples collected and analysed for total organic carbon (TOC) following the protocol described in Quesada et al. 2010. The other 12 forest plots were sampled in 2017. \nIn forest plots ≥1 ha, we sampled a minimum of five different locations; in the four corners and in the centre of the plot. In plots <1 ha, we sampled soil in 3 locations; 2 corners and in the centre. We sampled soil to 2 metres depth, where the majority of the sampling was taken in the following intervals: 0-5, 5-10, 10-20, 20-30, 30-50, 50-100, 100-150, 150-200 cm of depth. For each plot, we formed a composite sample by depth interval, resulting in one sample per depth range per plot. The samples were analysed at James Cook University. \n","locations":["POLYGON((-61.831 -15.75, -61.831 -7.188, -49.658 -7.188, -49.658 -15.75, -61.831 -15.75))"],"metadataDate":"2026-07-25T06:44:20.000Z","orcid":["0000-0002-6631-7962","0000-0002-4134-6708","0000-0002-8993-6168","0000-0001-7178-9713","0000-0003-3105-2914","0000-0002-6359-6281","0000-0002-6446-3376","0000-0003-1801-8703","0000-0001-8151-7738","0000-0001-6151-8995","0000-0003-2203-2882","0000-0003-1350-522X"],"organisation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Instituto Nacional de Pesquisas Amazonicas","Universidade do Estado do Mato Grosso ","James Cook University","Universidade do Estado do Mato Grosso","Universidad Autónoma Gabriel René Moreno","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6410a578-d21a-4285-8e9c-57efbe2b60d5","10.5285/6410a578-d21a-4285-8e9c-57efbe2b60d5","doi:10.5285/6410a578-d21a-4285-8e9c-57efbe2b60d5"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/04gsp2c11","https://ror.org/01w17ks16","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements of soil pyrogenic carbon, ratio of %PyC to %Bulk Carbon and organic carbon, which were collected in a soil fertility gradient in the Amazon Basin. All samples were taken in old-growth forests. In total, 49 forest plots were sampled…","state":"published","temporalExtentText":"Data collected from 2015 to 2019","title":"Soil pyrogenic and organic carbon data in intact forest permanent plots across the Amazon Basin, 2015-2019","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres above sea level. \n\nData were collected from 2006 to 2016.","documentType":"GEMINI_DOCUMENT","familyName":["Rodriguez-Munoz"],"fullName":["Rodriguez-Munoz, R."],"funder":["Natural Environment Research Council"],"givenName":["R."],"identifier":"242c22da-d034-4fa0-9136-4c66029f7e3c","incomingCitationCount":0,"keyword":["Gryllus campestris"],"keywordsOther":["Gryllus campestris"],"licence":"Non-Open government licence","lineage":"Each burrow is flagged with a unique number that will identify it for the whole breeding season. Since the number of occupied burrows is often greater than the number of cameras, and adult crickets regularly move around the meadow occupying different burrows, we carry out direct observations to cover non-videoed burrows. We do this by directly observing the occupants of every burrow that lacks a camera every 1-2 days. We record the ID of any adult present or whether a nymph is in residence. This allows us to accurately record adult emergence dates even in burrows that are not directly monitored at that particular time, as nymphs and recently emerged adults  rarely move among burrows, and so the presence of an adult where there was a nymph the day before indicates an emergence. After the end of the season, we watch the videos and record all significant events (adult emergence, encounters between individuals, singing activity, matings, fights and their outcome, oviposition, predator attacks, movement of individuals around the meadow).\n\nThe cameras are connected to several computers provided with motion activated digital video recording software (Diginet, dvr-usa.com, replaced in 2011 with i-Catcher, i-codesystems.co.uk) so that video is only recorded when movement is detected around the burrow. After a pilot trial carried out in 2005 with 16 cameras, WildCrickets began in 2006 with 64 cameras, and has been running continuously ever since. In 2017 WildCrickets deployed 140 cameras. Every year, around the start of the adult eclosion period, we install our network of cameras in the meadow, each one covering a burrow and the area around it. Videos are stored using a Digital Video Recording (DVR) system running on several computers in a house located next to the meadow. In a normal year, there are more burrows than crickets and more crickets than cameras, so we move cameras among burrows to maximize the amount of information we record about individual cricket behaviour. Cameras record cricket activity 24 h a day, seven days a week, from the time of the first adult eclosion, until no cricket activity has been observed in any camera for two days. After this we remove the cameras until the following year.\n\nA weather station (Davis Vantage Pro2) installed in the centre of the meadow logs weather variables at ten minute intervals including measurements from seven additional temperature sensors located on the surface of the meadow (three sensors) and in simulated burrows (four sensors inside open-end 15 cm long PVC pipes totally buried in the ground) at locations scattered around the meadow.","locations":["POLYGON((-9.439 40.21, -9.439 44.017, 3.57 44.017, 3.57 40.21, -9.439 40.21))"],"metadataDate":"2026-07-24T19:24:35.000Z","orcid":["0000-0002-6067-845X"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-16T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/242c22da-d034-4fa0-9136-4c66029f7e3c"],"resourceType":"Aggregation","ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres…","state":"published","title":"Life history and ageing of a wild field cricket (Gryllus campestris) population in North Spain","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Leeds","Indian Institute of Technology Delhi","Jamia Millia Islamia","Panjab University","Central Drug Research Institute","Aligarh Muslim University"],"authorFamilyName":["Carter","Ahammad","Gupta","Dahiya","Haneef","Rizwanul Haq","Sareen","Chorpra","Ahmad","Chowdhury"],"authorFullName":["Carter, L.","Ahammad, S.Z.","Gupta, S.","Dahiya, A.K.","Haneef, M.","Rizwanul Haq, Q.M.","Sareen, D.","Chorpra, S.","Ahmad, I.","Chowdhury, K."],"authorGivenName":["Laura","Shaikh Ziauddin ","Sonia","Anil Kumar","Mahenaz","Qazi Mohd","Dipti","Sidharth ","Iqbal","Kaniz"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/049tgcd06","https://ror.org/00pnhhv55","https://ror.org/04p2sbk06","https://ror.org/04t8qjg16","https://ror.org/03kw9gc02"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset reports concentrations of six antibiotics—oxytetracycline, ciprofloxacin, enrofloxacin, sulfamethazine, ofloxacin, and norfloxacin—measured in surface water and wastewater from two catchments in India: Dera Bassi (Punjab) and Bhiwadi (Rajasthan). Samples were collected at four time points between May 2022 and June 2023 from the River Ghaggar and wastewater effluent sites. ","documentType":"GEMINI_DOCUMENT","familyName":["Carter","Ahammad","Gupta","Dahiya","Haneef","Rizwanul Haq","Sareen","Chorpra","Ahmad","Chowdhury"],"fullName":["Carter, L.","Ahammad, S.Z.","Gupta, S.","Dahiya, A.K.","Haneef, M.","Rizwanul Haq, Q.M.","Sareen, D.","Chorpra, S.","Ahmad, I.","Chowdhury, K.","Laura Carter"],"funder":["Natural Environment Research Council"],"givenName":["Laura","Shaikh Ziauddin ","Sonia","Anil Kumar","Mahenaz","Qazi Mohd","Dipti","Sidharth ","Iqbal","Kaniz"],"grant":["NE/T01301X/1"],"identifier":"1a4588b8-7145-49ce-8bd5-0895d385932d","incomingCitationCount":0,"keyword":["Pollution","water quality"],"keywordsOther":["water quality"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"This dataset contains concentrations of six antibiotics (oxytetracycline, ciprofloxacin, enrofloxacin, sulfamethazine, ofloxacin, norfloxacin) measured at seven locations across two catchments in India: the Dera Bassi catchment (Punjab) and the Bhiwadi catchment (Rajasthan). Water samples—comprising river water from the River Ghaggar (Dera Bassi) and wastewater effluent from the Bhiwadi region—were collected at four time points between May 2022 and June 2023 (May 2022, October 2022, January 2023, June 2023). All samples were extracted using solid-phase extraction methods at the Indian Institute of Technology (IIT) Delhi. Extracts were then transported to the University of Leeds for chemical analysis using liquid chromatography tandem mass spectrometry (LC-MS/MS). Analytical procedures followed adapted methods from Singh et al. (2019) to ensure comparability and reliability. Quality control measures—including method blanks, matrix spikes, and replicate analyses—were applied throughout to ensure data integrity.","locations":["POLYGON((66.837 7.746, 66.837 33.68, 89.435 33.68, 89.435 7.746, 66.837 7.746))"],"metadataDate":"2026-10-01T07:01:04.000Z","organisation":["University of Leeds","Indian Institute of Technology Delhi","Jamia Millia Islamia","Panjab University","Central Drug Research Institute","Aligarh Muslim University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a4588b8-7145-49ce-8bd5-0895d385932d","10.5285/1a4588b8-7145-49ce-8bd5-0895d385932d","doi:10.5285/1a4588b8-7145-49ce-8bd5-0895d385932d"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/049tgcd06","https://ror.org/00pnhhv55","https://ror.org/04p2sbk06","https://ror.org/04t8qjg16","https://ror.org/03kw9gc02","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset reports concentrations of six antibiotics—oxytetracycline, ciprofloxacin, enrofloxacin, sulfamethazine, ofloxacin, and norfloxacin—measured in surface water and wastewater from two catchments in India: Dera Bassi (Punjab) and Bhiwadi (Rajasthan). Samples…","state":"published","temporalExtentText":"Data collected from 2022 to 2023","title":"Antibiotic pollution in surface water and wastewater from two catchments in India, May 2022 - June 2023","topic":["0/Pollution/"],"version":1.0,"view":["public","glenn"]},{"altTitle":["PSurf WFD","Surface pressure WFD"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. PSurf or surface pressure is the surface pressure (instantaneous) measured in Pa at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"8ebdd74c-ffec-4d5f-b832-e4916df694c8","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","hydrology","modelling","meteorology","atmosphere"],"keywordsOther":["Land surface modelling","hydrology","modelling","meteorology","atmosphere"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T08:43:09.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1314893351656","CEH:EIDC::1314893351656","https://catalogue.ceh.ac.uk/id/8ebdd74c-ffec-4d5f-b832-e4916df694c8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"temporalExtentText":"Data collected from 1911 to 2001","title":"WATCH forcing data (WFD) - 20th century PSurf (surface pressure) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"altTitle":["PERM-HYDRO","HYDRA","NERC Arctic Research Programme"],"availability":"Unknown","catalogue":"eidc","description":"This series of datasets includes meteorological data, soil pH and bulk density, stream discharge data and soil temperature, soil moisture, air temperature, relative humidity for vegetation data collected at the Siksik catchment, North West Territories, Canada under the PERM-HYDRO (HYDRA) project. \nThe data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. HYDRA was funded under the NERC Arctic Research Programme.\n","documentType":"GEMINI_DOCUMENT","identifier":"a80a1a61-fd25-444c-85f9-7c6f7ebe10ca","incomingCitationCount":0,"keyword":["Canada","Siksik catchment","North West Territories"],"keywordsPlace":["Canada","Siksik catchment","North West Territories"],"licence":"Non-Open government licence","lineage":"Sub-hourly discharge data was collected from Station S2, Siksik stream, North West Territories, Canada at Longitude: 133. 26' 26\" W, Latitude: 68. 44' 17\"N Elevation: 85 metres, Watershed area: ~1 kilometre squared, time zone: Mountain Standard Time.\nRecords cover September 2009 and March 2010 and include sampling date and time (dd/mm/yyyy hh:mm (24 hour format)), water temperature (Degrees Centigrade), stream height (metres) and discharge (metres cubed per second).\nMeteorological data for the Siksik catchment, North West Territories, Canada at Longitude: 133. 26' 26\" W, Latitude: 68. 44' 17\"N Elevation: 85 metres, Watershed area: ~1 kilometre squared, time zone: Mountain Standard Time.\nDaily air temperature, relative humidity, wind speed, dew point and precipitation data was taken from http://climate.weather.gc.ca. Climate data was used to estimate actual vapour pressure and surface resistance using FAO methods. Potential evapotranspiration was estimated using the data and the Penman-Monteith method. Albedo was estimated using hobo shortwave sensor. Thaw depth was estimated using observations and the square root of degree day temperature. Thaw volume was based on thaw depth estimates.\nSoil samples were collected in September 2014 along a transect in the Siksik catchment, North West Territories, Canada (Longitude: 133. 26' 26\" W, Latitude: 68. 44' 17\"N Elevation: 85 metres). Soil pH and bulk density (in grammes per cubic centimetre) data was produced from the samples.\nSoil temperatures were measured at 5 cm depth (below the ground surface) using Onset 12-bit Temperature Smart sensors.\nAir temperature and/or relative humidity (RH) were measured at approximately 0.5 m above the ground surface and shielded from radiation using the Onset solar radiation screen. If air temperature alone was measured, this was using Onset 12-bit Temperature Smart sensors, otherwise air temperature/RH were measured using Onset 12-bit Temperature/Relative Humidity Smart sensors. Surface wetness was measured at the lichen heath location using Onset Leaf wetness smart sensor. Volumetric water content (VWC) was also measured at 5 cm depth (from the ground surface) using ECH2O EC-5 volumetric moisture sensors using factory calibration - where possible in both hummock and inter hummock positions. All measurements were made at 10 minute intervals. Data are continuous with no gap-filling. ","locations":["POLYGON((-141.002701 41.681019, -141.002701 83.110619, -52.620201 83.110619, -52.620201 41.681019, -141.002701 41.681019))"],"metadataDate":"2026-07-25T13:19:59.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-23T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a80a1a61-fd25-444c-85f9-7c6f7ebe10ca"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This series of datasets includes meteorological data, soil pH and bulk density, stream discharge data and soil temperature, soil moisture, air temperature, relative humidity for vegetation data collected at the Siksik catchment, North West Territories, Canada under…","state":"published","supplementalName":["NERC Arctic Research Programme","Hydrological Controls on Carbon Cycling and Greenhouse Gas Budgets (HYDRA)"],"temporalExtentText":"Data collected from 2010 to 2015","title":"Permafrost catchments in transition: hydrological controls on carbon cycling and greenhouse gas budgets (PERM-HYDRO)","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Department of Earth Sciences, University of Cambridge","Department of Plant Sciences, University of Cambridge"],"authorFamilyName":["Marquand","Zhu","Faulkner","Turchyn"],"authorFullName":["Marquand, T.I.","Zhu, B.","Faulkner, K.J.","Turchyn, A.V."],"authorGivenName":["T I","B","K J","A V"],"authorOrcid":["0000-0002-8168-9692","0000-0002-8677-2014","0000-0002-9204-6502","0000-0002-9298-2173"],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents greenhouse gas emissions data from controlled peat mesocosm experiments conducted between February 2023 and December 2025. The study investigated carbon dioxide (CO₂) and methane (CH₄) emissions from drained peat soils collected from three sites in the East Anglian Fens, UK, by researchers at the Department of Earth Sciences, University of Cambridge.\n\nThe experiments were carried out in laboratory mesocosms to examine how changes in water table levels influence greenhouse gas fluxes and porewater chemistry. CO2 and CH4 emission data are provided for \"short-term\" experiments in which columns of drained peat were subjected to a high water table and then gradually drained over ~50 days with CO2 and CH4 emissions monitored as the water table is lowered. CO2 and CH4 emission and pore fluid concentration data are provided for \"long-term\" experiments in which mesocosms of drained peat were subjected to high water table (5cm above the soil surface) for a period of around 5 months.\nThese data were generated to improve understanding of how peatland rewetting and water table management affect greenhouse gas dynamics in lowland fen systems, supporting assessments of peatland restoration and climate mitigation strategies.\n\nThis work was carried out as part of the Centre for Landscape Regeneration at the University of Cambridge (Landscape Regeneration Solutions to the Interlinked Extinction and Climate Crises that support Sustainable Development, NE/W00495X/1) with analytical facilities funded by LASER-ENVI - A LASER spectrometer based ENVIronmental Gas and Gas-Isotope Facility (NE/V015435/1).","documentType":"GEMINI_DOCUMENT","familyName":["Marquand","Zhu","Faulkner","Turchyn"],"fullName":["Marquand, T.I.","Zhu, B.","Faulkner, K.J.","Turchyn, A.V."],"funder":["Natural Environment Research Council"],"givenName":["T I","B","K J","A V"],"grant":["NE/W00495X/1","NE/V015435/1"],"identifier":"0cefa296-33ad-4a73-8783-3471c6f64ee7","incomingCitationCount":0,"keyword":["Agriculture","Climate and climate change","soil","soil chemistry","greenhouse gas","greenhouse gas emissions","water table","methane","dissolved methane","carbon dioxide","dissolved carbon dioxide","peat","laboratory experiment","fen","East Anglian Fens"],"keywordsOther":["soil","soil chemistry","greenhouse gas","greenhouse gas emissions","water table","methane","dissolved methane","carbon dioxide","dissolved carbon dioxide","peat","laboratory experiment","fen","East Anglian Fens"],"keywordsTheme":["Agriculture","Climate and climate change"],"licence":"Open government licence","lineage":"Soils were collected from sites in the Fens and incubated in laboratory mesocosms under two treatments: (1) short-term experiments in which water table was raised above soil surface and gradually lowered over around 50 days, and (2) long-term experiments in which water table depth was raised and maintained high for ~5 months. In both conditions, emissions and pore fluid concentrations of CO2 and CH4 were monitored throughout the experiment period (using an open chamber approach, Picarro G2201-i gas analyser). Detailed descriptions of methods, units, processing, etc., can be found in the supporting document.","locations":["POLYGON((-0.268 52.33, -0.268 52.553, 0.521 52.553, 0.521 52.33, -0.268 52.33))"],"metadataDate":"2026-07-24T19:00:56.000Z","orcid":["0000-0002-8168-9692","0000-0002-8677-2014","0000-0002-9204-6502","0000-0002-9298-2173"],"organisation":["Department of Earth Sciences, University of Cambridge","Department of Plant Sciences, University of Cambridge","University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0cefa296-33ad-4a73-8783-3471c6f64ee7","10.5285/0cefa296-33ad-4a73-8783-3471c6f64ee7","doi:10.5285/0cefa296-33ad-4a73-8783-3471c6f64ee7"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents greenhouse gas emissions data from controlled peat mesocosm experiments conducted between February 2023 and December 2025. The study investigated carbon dioxide (CO₂) and methane (CH₄) emissions from drained peat soils collected from three sites…","state":"published","temporalExtentText":"Data collected from 2023 to 2025","title":"Carbon dioxide and methane emission and pore fluid concentration data from peat mesocosm experiments under variable water table treatments","topic":["0/Agriculture/","0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","JPEG","PNG"],"description":"This web map shows positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data).","documentType":"GEMINI_DOCUMENT","identifier":"090f990e-e24c-499b-87eb-33a193b50c63","incomingCitationCount":0,"keyword":["Biodiversity","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsTheme":["Biodiversity","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":"2026-08-12T11:42:44.000Z","organisation":["Centre for Ecology & Hydrology"],"publicationDate":"2020-12-03T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/090f990e-e24c-499b-87eb-33a193b50c63"],"resourceType":"Service","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This web map shows positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In…","state":"published","title":"Web map service for Model estimates of expected diversity of positive plant habitat condition indicators","topic":["0/Biodiversity/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Woodcock","Weites","Freeman","Bullock"],"authorFullName":["Woodcock, B.A.","Weites, M.G.","Freeman, M.","Bullock, J.M."],"authorGivenName":["B.A.","M.G.","M.","J.M."],"authorOrcid":["0000-0003-0300-9951"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains monitoring data for plants (surveyed using quadrats), sward insects (surveyed using suction samplers), insect pollinators (surveyed using transects) and sward structure (surveyed using drop disk height) across 60 calcareous grassland restoration sites from southern England and a further six wildcard sites made up of ancient grasslands and rewilding sites in 2021.  Information on site management during the sampling year are also included as well as the historic age of the restoration site.\n\nData were collected with the goal of understanding changes in the complexity of plant and invertebrate communities during grasslands restoration with a focus on the effects of duration of restoration.","documentType":"GEMINI_DOCUMENT","familyName":["Woodcock","Weites","Freeman","Bullock"],"fullName":["Woodcock, B.A.","Weites, M.G.","Freeman, M.","Bullock, J.M."],"funder":["Natural Environment Research Council"],"givenName":["B.A.","M.G.","M.","J.M."],"grant":["NE/V006525/1"],"identifier":"552977d4-b9aa-4932-a055-5ea3bdf16d56","incomingCitationCount":0,"keyword":["England","RestREco","Biodiversity","Pollinators","environmental restoration","recreation","permanent grassland","calcareous","insect","butterfly","bee"],"keywordsOther":["environmental restoration","recreation","permanent grassland","calcareous","insect","butterfly","bee"],"keywordsPlace":["England"],"keywordsProject":["RestREco"],"keywordsTheme":["Biodiversity","Pollinators"],"licence":"Open government licence","lineage":"On each site a sampling area was established of c. 100 x 100 m in the centre of the restoration field. All sampling occurred in 2021.  Data processing and lab-based identification continued into 2023.  For plant monitoring, thirteen 0.5 X 0.5 m quadrats were undertaken.  The presence or absence of all plant species found within the quadrat was recorded (All dicotyledons and monocots will be recorded). Bryophytes were recorded as a whole group. Sward height was measured in 40 locations using a drop disk.  This was repeated in June and August.  A vortis suction sampler was used to sample sward active invertebrates on two sample dates.   Invertebrates were identified to the highest taxonomic resolution practical with a focus on beetles, plant hoppers, true bugs and spiders. This was repeated in June and August.  To monitor pollinators, a 50 x 2 m transect was walked in June and August.  Transects were assessed in dry and calm weather conditions during between 10:00 and 16:00 with temperatures above 15 C.  Pollinators were identified to species were practical.  Associations with foraging plants were recorded.  Site location was recorded using GPS.  Information on site management and history (including site age) was recorded based on management agreements for agri-environment schemes.  Surrounding land use cover was recorded based on the UKCEH Landcover Map.\n\nNature and units of recorded variables can be found within supporting documentation.\n\nAll field workers were either experts with a long track record of pollinator identification or underwent extensive training.  Questionable specimens were collected for subsequent identification under laboratory conditions. Data was collected in the field using pre-prepared data sheets. Data sheets were checked both visually and following data entry into digital format by confirming where outlier abundances (>2SD from mean) were found that these were consistent with raw field data sheets.  \n\nNot all identifications are to species level with this varying depending on taxonomic expertise. ","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T23:05:06.000Z","orcid":["0000-0003-0300-9951"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/552977d4-b9aa-4932-a055-5ea3bdf16d56","10.5285/552977d4-b9aa-4932-a055-5ea3bdf16d56","doi:10.5285/552977d4-b9aa-4932-a055-5ea3bdf16d56"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains monitoring data for plants (surveyed using quadrats), sward insects (surveyed using suction samplers), insect pollinators (surveyed using transects) and sward structure (surveyed using drop disk height) across 60 calcareous grassland restoration…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Insect and plant data from calcareous grassland restoration sites in southern England, 2021","topic":["0/Biodiversity/","0/Pollinators/"],"version":1.0,"view":["public","shofer"]},{"availability":"Unknown","catalogue":"eidc","description":"Ground-level concentrations of ozone are high in many crop growing regions of the world and increasing rapidly in developing countries. Ozone reduces productivity of sensitive crops by reducing photosynthesis and causing cell damage within leaves, following uptake through the leaf stomatal pores. Currently, little is known about effects on crops growing in African countries where ozone precursor emissions are rising rapidly. We worked with African scientists to select the most appropriate crops and cultivars, and exposed them to realistic current and potential future ozone regimes in the climate controlled UK CEH Bangor solardomes to quantify the factors influencing stomatal conductance (for model parameterisation) and the negative effects of ozone on yield. We used staple food crops such as wheat, beans and millets. We also tested management options that could reduce ozone impacts such as strategic timing of irrigation to develop an action plan for implementation at the farm scale. This work represents the first detailed assessment of dose-response on staple crops commonly grown in Sub-Saharan Africa. A method for applying the stomatal uptake based global risk assessments for wheat was extended to other staple food crops, including maize, rice and soybean and a global assessment was conducted. This analysis included a global comparison of the extent of ozone effects with those caused by other stresses (aridity, heat, nutrients and pests/diseases). We then developed our global stomatal flux-based risk assessment methodology for African farm systems, using model parameterisations from experimental data on African crops allowing more focused case studies on Sub-Saharan. Ultimately, the end beneficiaries will be the local population through greater stability and quantity of food supplies.","documentType":"GEMINI_DOCUMENT","identifier":"37a4658d-bf7e-4df6-9e18-f63815d48b0c","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-03-26T13:34:14.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/37a4658d-bf7e-4df6-9e18-f63815d48b0c"],"resourceType":"Aggregation","shortenedDescription":"Ground-level concentrations of ozone are high in many crop growing regions of the world and increasing rapidly in developing countries. Ozone reduces productivity of sensitive crops by reducing photosynthesis and causing cell damage within leaves, following uptake through…","state":"published","supplementalName":["SUNRISE website"],"title":"Quantifying and mitigating the effects of ozone pollution on crop production - Sunrise Work package 3.2","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Dahlsjö","Malhi"],"authorFullName":["Dahlsjö, C.A.L.","Malhi, Y."],"authorGivenName":["C.A.L.","Y."],"authorOrcid":["0000-0003-3795-1523"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"All data were collected in 15 plots across Wytham Woods, near Oxford in southern England. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the differences between habitats with varying levels of ash dieback represented by different treatments as outlined in the metadata. \nGround flora species and percentage cover collected in May between 2021–2024. \nMonthly (bi-weekly in autumn) fine litter fall data separated into categories of e.g. twigs, leaves, seeds, etc. Dry weights are available for each category along with days between sampling occasions and litter fall trap size. Data available between 2020–2024. \nLeaf litter feeding invertebrate data collected on four occasions between September–November 2022. Invertebrate wet weights are available from replicated soil pits and quadrats across 15 plots enabling both spatial and temporal analyses. \n","documentType":"GEMINI_DOCUMENT","familyName":["Dahlsjö","Malhi"],"fullName":["Dahlsjö, C.A.L.","Malhi, Y."],"funder":["Natural Environment Research Council"],"givenName":["C.A.L.","Y."],"grant":["NE/T007648/1"],"identifier":"2dbbe33b-582b-434e-92f6-9c7786a37ce9","incomingCitationCount":0,"keyword":["Biodiversity","invertebrates","ash dieback","ground flora","fine litter fall"],"keywordsOther":["invertebrates","ash dieback","ground flora","fine litter fall"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The data have gone through minimal processing. The raw data are available alongside comments and meta data for data cleaning purposes. \nGround flora data were generated through species identifications and estimates of percentage cover in nine quadrats (1m x 1m) in each plot. \nFine litter fall data were generated by identifying, drying, and weighing different litter categories. \nLeaf litter feeding invertebrate data were generated by identifying and weighing each individual in the lab following extraction from soil pits or litter quadrats. \n","locations":["POLYGON((-1.359 51.754, -1.359 51.787, -1.294 51.787, -1.294 51.754, -1.359 51.754))"],"metadataDate":"2026-07-24T19:33:31.000Z","orcid":["0000-0003-3795-1523"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2dbbe33b-582b-434e-92f6-9c7786a37ce9","10.5285/2dbbe33b-582b-434e-92f6-9c7786a37ce9","doi:10.5285/2dbbe33b-582b-434e-92f6-9c7786a37ce9"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"All data were collected in 15 plots across Wytham Woods, near Oxford in southern England. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the differences between habitats with varying levels of ash dieback represented…","state":"published","temporalExtentText":"Data collected from 2020 to 2024","title":"Woodland ground flora, fine litter fall, and leaf litter feeding invertebrate data from habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2020-2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research","University of York"],"authorFamilyName":["Goodwin","Bütikofer","Hatfield","Richter","Redhead"],"authorFullName":["Goodwin, C.E.D.","Bütikofer, L.","Hatfield, J.H.","Richter, G.M.","Redhead, J.W."],"authorGivenName":["C.E.D.","L.","J.H.","G.M.","J.W."],"authorOrcid":["0000-0003-0093-9838","0000-0001-8220-7520","0000-0002-6361-0629","0000-0003-2180-9514","0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of landscape and agricultural management archetypes (1 km resolution) at three levels, defined by different opportunities for adaptation. Tier 1 archetypes quantify broad differences in soil, land cover and population across Great Britain, which cannot be readily influenced by the actions of land managers; Tier 2 archetypes capture more nuanced variations within farmland-dominated landscapes of Great Britain, over which land managers may have some degree of influence. Tier 3 archetypes are built at national levels for England and Wales and focus on socioeconomic and agro-ecological characteristics within farmland-dominated landscapes, characterising differences in farm management. The unavailability of several input variables for agricultural management prevented the generation of Tier 3 archetypes for Scotland.\n\nThe archetypes were derived by data-driven machine learning. The three tiers of archetypes were analysed separately and not as a nested structure (i.e. a single Tier 3 archetype can occur in more than one Tier 2 archetype), predominantly to ensure that archetype definitions were easily interpreted across tiers. ","documentType":"GEMINI_DOCUMENT","familyName":["Goodwin","Bütikofer","Hatfield","Richter","Redhead"],"fullName":["Goodwin, C.E.D.","Bütikofer, L.","Hatfield, J.H.","Richter, G.M.","Redhead, J.W.","Goodwin, C."],"funder":["Natural Environment Research Council"],"givenName":["C.E.D.","L.","J.H.","G.M.","J.W.","Cecily"],"grant":["NE/T000244/2","NE/T001178/1","NE/T001992/1"],"identifier":"3b44375a-cbe6-468c-9395-41471054d0f3","incomingCitationCount":1,"keyword":["AgLand","Archetypes","Land systems","Great Britain","Farming"],"keywordsOther":["Archetypes","Land systems","Great Britain","Farming"],"keywordsProject":["AgLand"],"licence":"Open government licence","lineage":"Archetype data were generated from various spatial socioeconomic and bio-physical layers. These data were analysed using Self-Organising Maps (SOMs), which reduce the dimensions and cluster the data into similar groupings. This creates a pre-set number of Land System Archetypes, each associated with a group of representative 1km cells, at each tier.\n\nSOMs were run iteratively 1000 times to gain a measure of the consistency of the production of each set of Archetypes. Data are provided with a measure (Euclidean distance) of the accuracy of the assignment of archetypes for each 1km cell. Sensitivity analyses were conducted to test the inclusion of different data. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:40:01.000Z","orcid":["0000-0003-0093-9838","0000-0001-8220-7520","0000-0002-6361-0629","0000-0003-2180-9514","0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","University of York","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3b44375a-cbe6-468c-9395-41471054d0f3","10.5285/3b44375a-cbe6-468c-9395-41471054d0f3","doi:10.5285/3b44375a-cbe6-468c-9395-41471054d0f3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Rothamsted Research"],"ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of landscape and agricultural management archetypes (1 km resolution) at three levels, defined by different opportunities for adaptation. Tier 1 archetypes quantify broad differences in soil, land cover and population across Great Britain, which…","state":"published","title":"Multi-tier archetypes to characterise British landscapes, farmland and farming practices","version":1.0,"view":["public","crimar"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}