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Trait collections followed standardised published methodologies. 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R.","Jose R.","Mateus","Maurizio","Toby","Rafael","Lucy"],"grant":["NE/S000011/1","19/07773-1"],"identifier":"e8cff3f4-60e5-46cf-a4d0-0f7ecf222ae4","incomingCitationCount":0,"keyword":["Evolutionary ecology","hydraulics","photosynthesis","plant ecology","plant biology"],"keywordsOther":["hydraulics","photosynthesis","plant ecology","plant biology"],"keywordsTheme":["Evolutionary ecology"],"licence":"Non-Open government licence","lineage":"To measure photosynthetic trait values and leaf water potential values on woody species, 1-2m length branches were extracted from the top of each tree crown and leaves from these branches were measured in-situ in the field.  For monocots, photosynthetic traits were measured directly on the plant in-situ, and for leaf water potential, 2-3 leaves were extracted and measured in-situ. For all other traits, either leaves (monocots) or branches (woody species) were extracted from the plant. Immediately after sampling material, it was sealed in moist bags and transported to Alto Paraíso de Goiás (10-30 minutes' drive), where all other functional traits were measured. The traits measured included structural, hydraulic, and nutritional characteristics of leaves and wood. A complete list of the traits measured, along with the procedures used for these measurements, is provided in the supporting information. All data were entered into an Excel spreadsheet and saved as a .csv file.","locations":["POLYGON((-47.913 -14.202, -47.913 -13.689, -47.061 -13.689, -47.061 -14.202, -47.913 -14.202))"],"metadataDate":"2026-05-11T18:28:31.000Z","organisation":["University of Exeter","Universidade Estadual de Campinas (UNICAMP)","Universidade de Brasília","Centre for Research on Ecology and Forestry Applications","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e8cff3f4-60e5-46cf-a4d0-0f7ecf222ae4","10.5285/e8cff3f4-60e5-46cf-a4d0-0f7ecf222ae4","doi:10.5285/e8cff3f4-60e5-46cf-a4d0-0f7ecf222ae4"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04wffgt70","https://ror.org/02xfp8v59","https://ror.org/03abrgd14","https://ror.org/04xw4m193"],"shortenedDescription":"This data comprises key hydraulic and photosynthetic traits, nutrient concentration and plant structure for savanna species (trees, shrubs, grasses and herbaceous) of the Cerrado, collected in the Chapada dos Veadeiros National Park (PNCV; 14°05' S, 47°40' W), located...","state":"published","title":"Functional traits of savanna trees, shrubs, grasses and herbaceous species in Cerrado, Brazil, 2021","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["SRUC/The Roslin Institute","R(D)SVS/The Roslin Institute","SRUC","The Roslin Institute"],"authorFamilyName":["Pollock","Corbishley","Hutchings","Gally"],"authorFullName":["Pollock, J.","Corbishley, A.","Hutchings, M.R.","Gally, D.L."],"authorGivenName":["J.","A.","M.R.","D.L."],"authorOrcid":["https://orcid.org/0000-0002-2260-592X"],"authorRor":["https://ror.org/01920rj20"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data presented are quantitative polymerase chain reaction (qPCR) read outs from antimicrobial resistance gene (AMRG) assays and associated metadata from this project.  In this dataset, the mean gene copy numbers per microlitre of DNA extract are shown.\n\nThe data were collected from faecal and environmental samples which were obtained from a single British commercial pig unit.  The former were collected from the sow housing barn, pig growing houses and slurry tanks within the farm unit and the latter were obtained through random stratified sampling of the farm and the surrounding land.  These samples were taken from what will be referred to as the 'main study'.  A further study was carried out to obtain samples after a partial depopulation which took place on this farm.  Faecal samples were obtained from the sow housing barn, pig growing houses and slurry tanks and will be referred to as the 'depopulation (depop) study'.\n\nFor the main study, the samples were collected between October 19th 2016 and April 5th 2017.  For the depop study, the samples were collected between 19th June 2017 and 13th November 2017.  The data associated with all samples were generated between August 1st 2017 and May 1st 2018.","documentType":"GEMINI_DOCUMENT","familyName":["Pollock","Corbishley","Hutchings","Gally"],"fullName":["Pollock, J.","Corbishley, A.","Hutchings, M.R.","Gally, D.L."],"funder":["Natural Environment Research Council"],"givenName":["Jolinda","J.","A.","M.R.","D.L."],"identifier":"e548dc5d-49e3-467d-9435-c199da40e7be","incomingCitationCount":0,"keyword":["Agriculture","resistance (biological)","livestock farming"],"keywordsOther":["resistance (biological)","livestock farming"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Faecal and soil samples were collected from the study farm weekly using spooned universal tubes and were stored at -20 deg C, batch transported on dry ice to the laboratory where they were stored at -80 deg C until DNA extraction was carried out.  DNA extracts were quantified and assessed using a NanoDrop spectrophotometer and split into aliquots for storage.  DNA extracts were then screened in triplicate by qPCR and the number of gene copies assessed through the use of a standard curve generated by the inclusion of standards with known copy numbers of each target gene.  Non-template controls were also included to ensure that non-specific binding or contamination were not occurring.  The qPCR machine software (i.e. MxPro) was then used to calculate the number of gene copies in each of the collected samples and the mean was calculated using the three replicates.  These values are included in the data set provided.","locations":["POLYGON((-6.628 52.239, -6.628 56.4, 1.592 56.4, 1.592 52.239, -6.628 52.239))"],"metadataDate":"2026-05-11T17:45:08.000Z","orcid":["https://orcid.org/0000-0002-2260-592X"],"organisation":["The Roslin Institute","SRUC/The Roslin Institute","R(D)SVS/The Roslin Institute","SRUC","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","University of Edinburgh"],"publicationDate":"2018-08-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e548dc5d-49e3-467d-9435-c199da40e7be","10.5285/e548dc5d-49e3-467d-9435-c199da40e7be","doi:10.5285/e548dc5d-49e3-467d-9435-c199da40e7be"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01920rj20","https://ror.org/04xw4m193","https://ror.org/01nrxwf90"],"shortenedDescription":"The data presented are quantitative polymerase chain reaction (qPCR) read outs from antimicrobial resistance gene (AMRG) assays and associated metadata from this project.  In this dataset, the mean gene copy numbers per microlitre of DNA extract are shown.\n\nThe data...","state":"published","title":"Quantification of selected antimicrobial resistance genes in pig faeces on a British commercial pig farm during a typical production cycle","topic":["0/Agriculture/"],"version":1.0,"view":["kath","public","dgwr"]},{"availability":"Unknown","catalogue":"eidc","description":"Plastics in the environment become rapidly colonised by microbial biofilm. These ‘plastisphere’ communities can support or even enrich human pathogens, which can be transported, disseminated and transferred to humans, e.g., through direct exposure at beaches or bathing waters. With the continued pollution of plastics in the environment, human exposure to pathogen-colonised plastic pollution will rise, and increasing our understanding of the survival, transfer and characterisation of these potentially harmful pathogens will help in assessing the potential implications to human health.","documentType":"GEMINI_DOCUMENT","identifier":"0649e4b5-1bda-467b-9620-bc4c9cb48be4","incomingCitationCount":0,"keyword":["Biofilm","Microplastics","Plastisphere","Public health risk","Sewage-related debris"],"keywordsOther":["Biofilm","Microplastics","Plastisphere","Public health risk","Sewage-related debris"],"licence":"Non-Open government licence","metadataDate":"2024-08-13T12:00:12.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0649e4b5-1bda-467b-9620-bc4c9cb48be4"],"resourceType":"Aggregation","shortenedDescription":"Plastics in the environment become rapidly colonised by microbial biofilm. These ‘plastisphere’ communities can support or even enrich human pathogens, which can be transported, disseminated and transferred to humans, e.g., through direct exposure at beaches or bathing...","state":"published","title":"The survival, persistence, and ecology of microbial pathogens on the surfaces of environmental plastic pollution","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Stockholm Environment Institute at the University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["Osborne","Hayes","Sharps","Harmens","Mills"],"authorFullName":["Osborne, S.A.","Hayes, F.","Sharps, K.","Harmens, H.","Mills, G."],"authorGivenName":["S.A.","F.","K.","H.","G."],"authorOrcid":["https://orcid.org/0000-0001-8130-5532","https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-8792-0181","https://orcid.org/0000-0001-9870-2868"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise of four datasets for Spring wheat (Triticum aestivum L., cv. Mulika) from a season-long ozone exposure experiment in mesocosms:\ni) Yield and biomass data (including harvest index and individual grain weight) gathered at the end of the experiment;\nii) measurements of chlorophyll content index (CCI) measured ad-hoc using a Soil-Plant Analyses Development (SPAD) chlorophyll meter throughout the experiment across all treatments;\niii) measurements of leaf stomatal conductance, measured ad-hoc using a porometer throughout the experiment across all treatments;\niv) results from four growth stage assessments conducted at different stages of the experiment. \n\nYield and Biomass data are dry weights of non-edge plants, with a cutting height of 5cm above soil level. Leaf chlorophyll and stomatal conductance data were measured on the most recently fully expanded leaf (flag leaf from 28th May 2015 onwards) of randomly selected non-edge plants. The data are from an ozone and drought exposure experiment conducted during April-August 2015 at the Centre for Ecology & Hydrology Bangor solardome facility near Abergwyngregyn (Latitude 53.2387, Longitude -4.0176). The objective of the experiment was to determine how two abiotic stressors in combination - ozone and drought - would interact to influence growth and yield of wheat, and also what impact the timing of drought would have on the result. \n\nSpring wheat (Triticum aestivum L., cv. Mulika) was grown in rows within large 25-litre pots, and exposed to eight ozone treatments for 82 days. Plants experienced either (i) a well-watered regime (ii) a 10-day early-season drought event or (iii) a 10-day late-season drought event. The eight Ozone (O3) treatments ranged from a 24-hour mean of 27 parts per billion (ppb) in the lowest treatment to 57 ppb in the highest, with daily peaks ranging from 32 to 115 ppb\n\nThis work was carried out as part of a Ph.D. funded by the Natural Environment Research Council (NERC) (NERC Reference NEC05014/3328/988)","documentType":"GEMINI_DOCUMENT","familyName":["Osborne","Hayes","Sharps","Harmens","Mills"],"fullName":["Osborne, S.","Osborne, S.A.","Hayes, F.","Sharps, K.","Harmens, H.","Mills, G."],"givenName":["Stephanie","S.A.","F.","K.","H.","G."],"identifier":"9678f446-0e2f-4f9c-860a-cbedfce4c7ec","incomingCitationCount":0,"keyword":["Abergwyngregyn","Pollution","Triticum aestivum"],"keywordsOther":["Triticum aestivum"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Yield/Biomass data: This data was collected at the end of the experimental season, during August 2015. The total number of plants per pot was first counted, and all non-edge wheat plants were then cut at a level of 5cm above the soil surface. Ears were separated from the rest of the plant material, and ears were then threshed using a hand thresher to extract the wheat grains. Grain weight, ear weight and straw weight was measured before plant sampled were dried for one week in an oven at 65 degrees Celsius. Dry weight of all samples could then be measured. Data were recorded on paper data tables, and subsequently entered into Microsoft Excel. Calculation of particular harvest parameters (e.g. yield in kh/ha, harvest index) was conducted in Excel, and data was later exported as a comma separated value (csv) file for ingestion into the Environmental Information Data Centre. Calculation of certain harvest parameters (e.g. yield in kg/ha, harvest index) was carried out in Microsoft Excel following data entry.\n\nStomatal conductance data: This data was collected throughout the season, with measurements taken using an AP4 leaf porometer (Delta-T devices, Cambridge) over 9 separate days throughout the 2015 season. Measurements were intentionally made across a range of meteorological conditions to allow for model parameterisation at a later stage. Data were recorded on paper data tables and subsequently entered into Microsoft Excel. Each measurement of stomatal conductance was later paired with the concurrent temperature, vapour pressure deficit (VPD) and photosynthetically active radiation (PAR) as measured by on the solardome canopy computer automated monitoring system;. this data was downloaded from the computer system periodically throughout the season. The final data file was exported as a comma separated value (csv) file for ingestion into the Environmental Information Data Centre.\n\nChlorophyll content index data: This data was collected throughout the season, and measurements were made using a chlorophyll meter (CCM-200, Opti-sciences, Hudson, USA). Some measurements were made simultaneously with measurements of stomatal conductance, while others were not. Data were recorded on paper data tables and subsequently entered into Microsoft Excel. The final data table was later exported as a comma separated value (csv) file for ingestion into the Environmental Information Data Centre.\n\nGrowth stage assessment data: This data was collected on four days throughout the experiment: the 9th June, 30th June, 14th July and 27th July 2015. Growth stage assessment was carried out according to the decimal system described by Tottman (1987; The decimal code for the growth of cereals, with illustrations. Annals of Applied Biology 110, 441-454). Plants within each pot were examined and the maximum (i.e. most progressed) observed growth stage was recorded. Four pots per ozone and drought treatment were examined. Data were recorded on paper data tables and subsequently entered into Microsoft Excel. Data was exported as a comma separated values (csv) file for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.02 53.237, -4.02 53.239, -4.016 53.239, -4.016 53.237, -4.02 53.237))"],"metadataDate":"2026-05-11T18:27:35.000Z","orcid":["https://orcid.org/0000-0001-8130-5532","https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-8792-0181","https://orcid.org/0000-0001-9870-2868"],"organisation":["Stockholm Environment Institute at the University of York","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-01-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9678f446-0e2f-4f9c-860a-cbedfce4c7ec","10.5285/9678f446-0e2f-4f9c-860a-cbedfce4c7ec","doi:10.5285/9678f446-0e2f-4f9c-860a-cbedfce4c7ec"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise of four datasets for Spring wheat (Triticum aestivum L., cv. Mulika) from a season-long ozone exposure experiment in mesocosms:\ni) Yield and biomass data (including harvest index and individual grain weight) gathered at the end of the experiment;\nii)...","state":"published","title":"Plant physiology data for the spring wheat cultivar Mulika, in response to combined ozone and drought exposure in 2015","topic":["0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Elias","Mason","Lebron","Samsudin","Zaili","Azmi","McNamara"],"authorFullName":["Elias, D.M.O.","Mason, K.E.","Lebron, I.","Samsudin, N.","Zaili, A.N.M.","Azmi, R.","McNamara, N.P."],"authorGivenName":["D.M.O. ","K.E.","I.","N.","A.N.M.","R.","N.P."],"authorOrcid":["https://orcid.org/0000-0002-2674-9285"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on soil physico-chemical characteristics and palm nutrient concentrations collected in 2019 across twenty-five smallholder oil palm farms in Perak, Malaysia. Leaf and rachis were sampled from 3 palms within each plot. Soils were sampled to 30cm depth in the palm circle of the same 3 palms and the adjacent inter-row area. These data were collected to assess the soil condition and nutritional status of oil palms across smallholder farms. This information was used to advise on best agronomic practice. \n\nThe work was supported by the Natural Environment Research Council (Grant No. 355 NE/R000131/1).","documentType":"GEMINI_DOCUMENT","familyName":["Elias","Mason","Lebron","Samsudin","Zaili","Azmi","McNamara"],"fullName":["Elias, D.","Elias, D.M.O.","Mason, K.E.","Lebron, I.","Samsudin, N.","Zaili, A.N.M.","Azmi, R.","McNamara, N.P."],"funder":["Natural Environment Research Council"],"givenName":["Dafydd","D.M.O. ","K.E.","I.","N.","A.N.M.","R.","N.P."],"grant":["NE/R000131/1"],"identifier":"4d3813b6-714b-403a-aeeb-e2fa518a1520","incomingCitationCount":0,"keyword":["Oil Palm","Smallholders","Leaf Nutrients","leaf","soil chemistry"],"keywordsOther":["Oil Palm","Smallholders","Leaf Nutrients","leaf","soil chemistry"],"licence":"Open government licence","lineage":"Soil and palm tissue samples were collected by UKCEH staff and trained oil palm extension workers before being processed and analysed according to standard protocols at a Standards Malaysia accredited commercial laboratory in Selangor, Malaysia.","locations":["POLYGON((100.058 3.946, 100.058 5.535, 101.893 5.535, 101.893 3.946, 100.058 3.946))"],"metadataDate":"2026-05-11T18:25:29.000Z","orcid":["https://orcid.org/0000-0002-2674-9285"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-06-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4d3813b6-714b-403a-aeeb-e2fa518a1520","10.5285/4d3813b6-714b-403a-aeeb-e2fa518a1520","doi:10.5285/4d3813b6-714b-403a-aeeb-e2fa518a1520"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on soil physico-chemical characteristics and palm nutrient concentrations collected in 2019 across twenty-five smallholder oil palm farms in Perak, Malaysia. Leaf and rachis were sampled from 3 palms within each plot. Soils were sampled...","state":"published","title":"Soil physico-chemical properties and palm nutrient concentrations in smallholder oil palm plantations, Perak, Malaysia, 2019","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Dugdale","Field","Johnson","Mariani","Pugh","Schrodt","Thorne"],"authorFullName":["Dugdale, S.J.","Field, R.","Johnson, M.","Mariani, M.","Pugh, B.","Schrodt, F.","Thorne, C."],"authorGivenName":["S.J.","R.","M.","B.","F.","C."],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following the Holiday Farm wildfire in 2020.\n\nRaw satellite imagery acquired in June 2020 and June 2021 was processed to calculate Normalised Burn Ratio (NBR), giving pre- and post-fire burn severity information. Data consist of 10 m .TIF raster imagery where a digital number gives a measure of burn severity; high NBR values indicate healthy vegetation, whereas lower values indicate burnt areas or bare ground.\n\nThe study was conducted by the University of Nottingham, in partnership with the US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","familyName":["Dugdale","Field","Johnson","Mariani","Pugh","Schrodt","Thorne"],"fullName":["Dugdale, S.J.","Field, R.","Johnson, M.","Mariani, M.","Pugh, B.","Schrodt, F.","Thorne, C."],"givenName":["S.J.","R.","M.","B.","F.","C."],"identifier":"8162887a-5481-440f-a7f2-427eee793efd","incomingCitationCount":0,"keyword":["Burn severity","Normalised burn ratio","Sentinel-2","South fork mckenzie","Stage zero","Wildfire","fire","river","restoration"],"keywordsOther":["Burn severity","Normalised burn ratio","Sentinel-2","South fork mckenzie","Stage zero","Wildfire","fire","river","restoration"],"licence":"Open government licence","lineage":"20 m bands of Two Sentinel-2A images of study site (pre/post-fire; June 2020 and 2021) were super-resolved to 10m following Lanaras et al (2018)\n\nThese data were subsequently used to generate raster files depicting 10m resolution Normalised Burn Ratio (NBR) across South Fork McKenzie River, where NBR = (Sentinel Band B08 - B12) / (B08 + B12), following the methodology outlined in Keeley (2009).  Subtraction of postfire from prefire NBR rasters facilitates estimation of burn severity by highlighting vegetation burn in relation to pre-burnt state.\n\nLanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018). Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 305-319 https://doi.org/10.1016/j.isprsjprs.2018.09.018\n\nKeeley, J.E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126. https://doi.org/10.1071/WF07049\n\n","locations":["POLYGON((-122.29 44.13, -122.29 44.16, -122.23 44.16, -122.23 44.13, -122.29 44.13))"],"metadataDate":"2026-05-11T18:27:23.000Z","organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8162887a-5481-440f-a7f2-427eee793efd","10.5285/8162887a-5481-440f-a7f2-427eee793efd","doi:10.5285/8162887a-5481-440f-a7f2-427eee793efd"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following...","state":"published","supplementalDescription":["Lanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018). Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 305-319","Keeley, J.E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126."],"title":"High resolution burn severity data (derived from satellite imagery) for the South Fork McKenzie River in Oregon, USA, before and after a wildfire event, 2020 and 2021","version":1.0,"view":["public","crimar"]},{"altTitle":["Changes in the Rural Environment 1984"],"authorAffiliation":["Institute of Terrestrial Ecology","Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M."],"authorOrcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1984. The data are national estimates generated by analysing the sample data from 384 1km squares and scaling up to a national level. The data are summarized as habitat area per Land Class (areas of similar environmental characteristics). The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, species plot, soil plot, linear habitat, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M.","Claire"],"identifier":"ad823866-cded-4778-9bd7-999c821b120e","incomingCitationCount":0,"keyword":["Great Britain","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsOther":["Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1984 by surveyors. Data were recorded from 384 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in 2000. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (1998 version). Data are managed by the Centre for Ecology & Hydrology, Lancaster. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:08:48.000Z","orcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-2750-7832"],"organisation":["Institute of Terrestrial Ecology","Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology","Natural Environment Research Council","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1385135140751","CEH:EIDC::1385135140751","https://catalogue.ceh.ac.uk/id/ad823866-cded-4778-9bd7-999c821b120e","10.5285/ad823866-cded-4778-9bd7-999c821b120e","doi:10.5285/ad823866-cded-4778-9bd7-999c821b120e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1984. The data are national estimates generated by analysing the sample data from 384 1km squares and scaling up to a national level. The data are summarized as habitat area per Land...","state":"published","supplementalName":["Countryside Survey website"],"title":"Countryside Survey 1984 estimates of Broad Habitat areas in Great Britain","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Strathclyde","Newcastle University","James Hutton Institute","Institute of Urban Environment, Chinese Academy of Science ","Institute of Urban Environment, Chinese Academy of Sciences"],"authorFamilyName":["Knapp","Graham","Freitag","Pagaling","Hough","Avery","Zhu","Su","Zhou"],"authorFullName":["Knapp, C.W.","Graham, D.W.","Freitag, T.","Pagaling, E.","Hough, R.","Avery, L.","Zhu, Y.-.","Su, J.","Zhou, X.Y."],"authorGivenName":["C.W.","D.W. ","T.","E. ","R.","L.","Y.-G.","J.","X.Y."],"authorOrcid":["https://orcid.org/0000-0001-7997-8543","https://orcid.org/0000-0002-9753-496X"],"authorRor":["https://ror.org/00n3w3b69","https://ror.org/01kj2bm70","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset collates the relative concentration of nearly 300 antimicrobial resistance (AMR) genes found in soil locations across Scotland.\n\nSoils were obtained from the National Soils Inventory of Scotland (NSIS2), from which the total community DNA were extracted and provided to assess AMR gene content. Sampling of the NSIS2 was conducted between 2007-2010 at 183 soil locations representing intersections of a 20km grid across all of Scotland.\n\nFor each sample, nearly 300 AMR genes were assessed representing major antibiotic classes, and included many resistance traits: aminoglycosides, beta-lactams, FCA (fluoroquinolone, quinolone, chloramphenicol, florfenicol and amphenicol resistance genes), MLSB (macrolide, lincosamide, streptogramin B), tetracycline, vancomycin, sulphonamide, efflux pumps and integron genes. The data represent relative gene abundance, i.e., the amount of genes per \"total bacteria\".\n","documentType":"GEMINI_DOCUMENT","familyName":["Knapp","Graham","Freitag","Pagaling","Hough","Avery","Zhu","Su","Zhou"],"fullName":["Knapp, C.W.","Graham, D.W.","Freitag, T.","Pagaling, E.","Hough, R.","Avery, L.","Zhu, Y.-.","Su, J.","Zhou, X.Y.","Knapp, C."],"funder":["Natural Environment Research Council"],"givenName":["C.W.","D.W. ","T.","E. ","R.","L.","Y.-G.","J.","X.Y.","Charles"],"grant":["NE/N019776/1"],"identifier":"d3498e93-4ac5-4eab-bc1a-eb2328771d24","incomingCitationCount":1,"keyword":["Scotland","Soil","Antibiotic resistance genes ","resistance (biological)"],"keywordsOther":["Antibiotic resistance genes ","resistance (biological)"],"keywordsPlace":["Scotland"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"The dataset was developed by Charles Knapp (University of Strathclyde) 2016-2018, in close collaboration with James Hutton Institute, Institute of Urban Environment – Chinese Academy of Sciences, and Newcastle University. The data were compiled under the auspices of the NERC AMR in the Real World grant (NE/N019776/1). \n\nFor further details please see supporting documentation","locations":["POLYGON((-7.6 54.7, -7.6 60.32, -1.3 60.32, -1.3 54.7, -7.6 54.7))"],"metadataDate":"2026-05-11T17:54:37.000Z","orcid":["https://orcid.org/0000-0001-7997-8543","https://orcid.org/0000-0002-9753-496X"],"organisation":["University of Strathclyde","Newcastle University","James Hutton Institute","Institute of Urban Environment, Chinese Academy of Science ","Institute of Urban Environment, Chinese Academy of Sciences","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d3498e93-4ac5-4eab-bc1a-eb2328771d24","10.5285/d3498e93-4ac5-4eab-bc1a-eb2328771d24","doi:10.5285/d3498e93-4ac5-4eab-bc1a-eb2328771d24"],"resourceType":"Dataset","ror":["https://ror.org/00n3w3b69","https://ror.org/01kj2bm70","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset collates the relative concentration of nearly 300 antimicrobial resistance (AMR) genes found in soil locations across Scotland.\n\nSoils were obtained from the National Soils Inventory of Scotland (NSIS2), from which the total community DNA were extracted...","state":"published","title":"Antibiotic resistance genes found in soils across the entire Scottish landscape (2007-10)","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["CONICET, Universidad Nacional del Comahue","Univ. Nacional de Tucuman","Universidad Nacional de Cordoba","Universidad de Buenos Aires","Univ. Nacional de Tucuman ","Instituto de Investigaciones en Ciencias Agrarias de Rosario","Universidade Federal de Sao Carlos","Universidade de Sao Paulo","UK Centre for Ecology & Hydrology"],"authorFamilyName":["da Cunha","Chacoff","Sáez","Galetto","Devoto","Carrasco","Mazzei","Castillo","Palacios","Vesprini","Agostini","Saraiva","Woodcock","Aizen"],"authorFullName":["da Cunha, N.L.","Chacoff, N.P.","Sáez, A.","Galetto, L.","Devoto, M.","Carrasco, J.","Mazzei, M.P.","Castillo, S.E.","Palacios, T.P.","Vesprini, J.L.","Agostini, K.","Saraiva, A.M.","Woodcock, B.A.","Aizen, M.A."],"authorGivenName":["N.L.","N.P.","A.","L.","M.","J.","M.P.","S.E.","T.P.","J.L.","K.","A.M.","B.A.","M.A."],"authorOrcid":["https://orcid.org/0000-0001-5509-6757","https://orcid.org/0000-0002-1115-6989","https://orcid.org/0009-0005-8988-2816","https://orcid.org/0000-0003-3828-657X","https://orcid.org/0000-0003-3098-236X","https://orcid.org/0000-0003-0424-3184","https://orcid.org/0000-0002-7947-350X","https://orcid.org/0000-0002-7801-1784","https://orcid.org/0000-0002-6593-4248","https://orcid.org/0000-0002-0038-3211","https://orcid.org/0000-0003-2283-1123","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-9079-9749"],"authorRor":["https://ror.org/02zvkba47","https://ror.org/04chzd762","https://ror.org/056tb7j80","https://ror.org/0081fs513","https://ror.org/02s040f34","https://ror.org/00qdc6m37","https://ror.org/036rp1748","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil.  Yield data was also collected from these same sites to elucidate the dependencies of this crop on insect pollination with a focus on managed and wild pollinators.  Data was collected over multiple seasons between 2020 and 2022. Soybean is one of the most traded agricultural commodities and is of significant economic importance in South America.  ","documentType":"GEMINI_DOCUMENT","familyName":["Devoto","da Cunha","Chacoff","Sáez","Galetto","Carrasco","Mazzei","Castillo","Palacios","Vesprini","Agostini","Saraiva","Woodcock","Aizen"],"fullName":["Devoto, M.","da Cunha, N.L.","Chacoff, N.P.","Sáez, A.","Galetto, L.","Carrasco, J.","Mazzei, M.P.","Castillo, S.E.","Palacios, T.P.","Vesprini, J.L.","Agostini, K.","Saraiva, A.M.","Woodcock, B.A.","Aizen, M.A."],"funder":["Natural Environment Research Council","National Scientific and Technical Research Council of Argentina (CONICET)","São Paulo Research Foundation"],"givenName":["M.","N.L.","N.P.","A.","L.","J.","M.P.","S.E.","T.P.","J.L.","K.","A.M.","B.A.","M.A."],"grant":["NE/S011870/2","RD 1984/19","2018/14994-1"],"identifier":"2bd21042-ebbc-4454-8ca3-96e18333ccd2","incomingCitationCount":0,"keyword":["autogamy autonomous self-pollination","ecosystem services","Glycine max","Soya","pollination","wild bees","honeybees","seed set","yield (agricultural)","bees","soybean"],"keywordsOther":["autogamy autonomous self-pollination","ecosystem services","Glycine max","Soya","pollination","wild bees","honeybees","seed set","yield (agricultural)","bees","soybean"],"licence":"Open government licence","lineage":"Fieldwork instrumentation used.  No fieldwork instrumentation was used outside of GPS to position the sites’ locations.   \n\nMethods of collection. Five study areas were located along a N-S latitudinal gradient from southern Brazil to central Argentina. Within each area, five soybean sites were selected. At each site sampling areas were established at the field edge (50 m from field boundary) and the field interior (150 m from the field boundary).\n\nPollinator sampling: During flowering, we conducted repeated measurements of pollinator abundance and diversity in each soybean field by sampling along 100-m-long transects (1 m wide) placed on the field margin (0 m from field edge) and within the crop at 50 and 150 m from the field edge. Pollinator sampling along transects was undertaken by slowly walking the transect for 20 minutes and recording all insects seen visiting flowers.  This was done on three occasions each day for an early (8:30-10:00h), mid (12-14:00h) and late (15:30-17:30) sample round. Pollinators were identified where possible to species or species aggregates in the field.  Where this was not possible individuals were collected for subsequent lab-based identification ideally to species, or where this was not possible to generic or some other level of identification. If necessary, a morphospecies concept was applied allowing the identification of recognizable taxonomic units even where taxonomic resolution was poor. Where possible the name of flowering plants in the field margin that received visits from the pollinators were recorded. Weather data was recorded in the form of temperature, humidity and wind speed.  \nPollination dependence of oilseed rape: At each sampling location in a field two (50 m and 150 m from the edge) sampling transects from the field edge were established (A and B).  We assessed pollinator dependence using a caging experiment consisting of two treatments: (i) closed to pollinators by covering crops within 1m2 enclosed by cages of fine mesh during the flowering period, (ii) open pollination (i.e., plot of 1m2 without manipulation). We harvested 5 plants per treatment, each taken from in the middle of the cage. Following harvest, we measured: (i) Total number of pods on the plant; (ii) Average number of seeds per pod; (ii) Weight of the seeds (grams) before drying; iii) Total dried weight of seeds from the plant (grams).  Additional information on crop variety, date of sowing and data of first observed flowers was recorded. Sampling was undertaken according to site in the harvest years of 2020, 2021 and 2022.\n\nNature and units of recorded variables.  All data on abundance of pollinators represents counts of individuals.  Data on fruit set represents counts of the number of fruits, buds and flowers.\n\nProcessing steps performed on the data.  No data has been transformed with the exception of mean seeds per pod values.\n\nQuality control/assessment applied to the data. All 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. Balances used to weigh seeds are regularly calibrated.\n\nLimitations on the data reliability.  For the seed set data there is no shaded control that allows access to pollinators, although a preliminary study suggested that this treatment did not differ from a non-shaded open to pollinators control.","locations":["POLYGON((-86.177 -55.974, -86.177 9.449, -32.739 9.449, -32.739 -55.974, -86.177 -55.974))"],"metadataDate":"2026-05-11T18:02:33.000Z","orcid":["https://orcid.org/0000-0003-3098-236X","https://orcid.org/0000-0001-5509-6757","https://orcid.org/0000-0002-1115-6989","https://orcid.org/0009-0005-8988-2816","https://orcid.org/0000-0003-3828-657X","https://orcid.org/0000-0003-0424-3184","https://orcid.org/0000-0002-7947-350X","https://orcid.org/0000-0002-7801-1784","https://orcid.org/0000-0002-6593-4248","https://orcid.org/0000-0002-0038-3211","https://orcid.org/0000-0003-2283-1123","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-9079-9749"],"organisation":["Universidad de Buenos Aires","CONICET, Universidad Nacional del Comahue","Univ. Nacional de Tucuman","Universidad Nacional de Cordoba","Univ. Nacional de Tucuman ","Instituto de Investigaciones en Ciencias Agrarias de Rosario","Universidade Federal de Sao Carlos","Universidade de Sao Paulo","UK Centre for Ecology & Hydrology","Grupo de Ecología de la Polinizacion (EcoPol), INIBIOMA (CONICET, Universidad Nacional del Comahue)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2bd21042-ebbc-4454-8ca3-96e18333ccd2","10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2","doi:10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2"],"resourceType":"Dataset","rightsHolder":["Grupo de Ecología de la Polinizacion (EcoPol), INIBIOMA (CONICET, Universidad Nacional del Comahue)"],"ror":["https://ror.org/0081fs513","https://ror.org/02zvkba47","https://ror.org/04chzd762","https://ror.org/056tb7j80","https://ror.org/02s040f34","https://ror.org/00qdc6m37","https://ror.org/036rp1748","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil.  Yield data was also collected...","state":"published","title":"Insect pollinator visitations to soybean crops, and soybean crop yield, along a latitudinal gradient in South America, 2020-2022","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland"],"authorFamilyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"authorFullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"authorGivenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in liver tissues for 68 polecats found dead in Great Britain between 2013 and 2016. \n\nAll carcasses were stored frozen until necropsy examination at the National Museum of Scotland (with support from The Negaunee Foundation). \n\nLiver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Funding for the rodenticide analysis was provided by the People's Trust for Endangered Species and CEH.\n\nPhD funding from The Vincent Wildlife Trust and the University of Exeter.","documentType":"GEMINI_DOCUMENT","familyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"fullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"funder":["Vincent Wildlife Trust"],"givenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"identifier":"2f49911c-192c-4f09-a1a2-72a21f20706c","incomingCitationCount":1,"keyword":["Environmental risk","Environmental survey","Agriculture","European polecat","Mustela putorius","forest polecat","black polecat"],"keywordsOther":["European polecat","Mustela putorius","forest polecat","black polecat"],"keywordsTheme":["Environmental risk","Environmental survey","Agriculture"],"licence":"Open government licence","lineage":"Polecat carcasses were collected as part of a national monitoring survey carried out by the Vincent Wildlife Trust between December 2013 and March 2016.  Sixty-eight carcasses were selected for rodenticide analysis, based on stratification by sex, location and collection date.  Of the animals selected 56 were road traffic casualties; the remainder were found dead in fields, killed by dogs, trapped or the cause of death was unknown. \nCollection date and location were recorded for all carcasses, which were stored frozen until necropsy examination at the National Museum of Scotland. The poor condition of the majority of the carcasses precluded assessment of clinical signs of exposure to rodenticides. Where carcass condition allowed, gross necropsy examination included recording of sex, head and body length (nose to tip of tail), mass and internal fat, scored on a five-point scale. Teeth (for ageing), whiskers (for stable isotope analysis) and liver tissue (for rodenticide analysis) were collected.  Liver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Whiskers were prepared for analysis at the University of Exeter and analysed at Elemtex, UK and teeth were sent to Matson’s Lab LLC, USA for aging by analysis of cementum layers.\nRodenticide analysis: Concentrations of the five SGARs licensed for use in Great Britain (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) were determined in the polecat livers. A 0.25 g sub-sample of each liver was thawed, weighed accurately, ground and dried with anhydrous sodium sulphate. Labelled standard (d5- Bromadiolone, QMx) was added to each sample for quality control purposes and determination of analyte recovery.  Each liver sub-sample was solvent-extracted and then cleaned-up using size exclusion chromatography followed by elution through solid-phase cartridges. Extraction was carried out twice with clean solvent. Each extraction involved vortex mixing of the sample with 1:1 v/v chloroform:acetone, mechanical shaking and centrifugation. The resultant supernatants from the two extraction runs were combined, solvent-exchanged into (1:1; v/v) chloroform:acetone, filtered (0.2 mm PTFE filter), subjected to a further solvent exchange into (1:23; v/v) acetone:DCM, filtered again, and cleaned-up by size-exclusion chromatography (Agilent 1200 HPLC).  The cleaned extract was solvent-exchanged into 1:1:8; v/v. chloroform:acetone:acetonitrile and underwent a second clean-up using solid phase, methanol-washed, acetonitrile-activated extraction cartridges (ISOLUTE® SI 500 mg, 6 ml).  The cartridges were eluted with the same solvent and the eluate exchanged for the mobile phase.\nLiver SGAR residues were quantified by HPLC linked to a triple quadrupole mass spectrometer interfaced with an ion max source in Atmospheric Pressure Chemical Ionisation mode (APCI) with negative polarity.  Full details of the operational parameters used are as given by Walker et al. (2017).  All rodenticide standards (Dr Ehrenstorfer) were matrix matched and linear calibration curves were defined such that R2>0.99. A blank was run with each batch of unknowns.  The mean method limit of detection (LOD) across batches for each compound was 0.0014 µg/g, except for difethialone which was 0.0022 µg/g. The mean (± SE) recovery for the total procedure was calculated from the labelled bromadiolone standard applied to each sample and was 68.0 ±2.1%. Liver SGAR concentrations were not recovery corrected and are expressed on a wet weight basis.  Summed (Σ) SGAR liver concentrations in individual animals were calculated by summing the concentrations of the five different SGARs, a zero concentration being assigned to individual compounds that were not detected.\nStable isotope analysis: Whiskers were gently rinsed in distilled water and then freeze dried for 24 hours. One whisker per animal was cut into ~1mm segments using a scalpel, starting at the proximal end of the whisker. Consecutive segments were pooled until the summed sample weight was ~0.7 mg.  The sample was enclosed in a tin cup and put into a tray for analysis. The next segment was prepared in the same way and the process was further repeated until either the whole whisker was used, or less than 0.2 mg was remaining.  Samples were analysed on a Thermoquest EA1110 elemental analyser linked to a Europa Scientific 2020 isotope ratio mass spectrometer at Elemtex Ltd (Cornwall, UK) for δ15N and δ13C. δ15N and δ13C abundance are reported as δ-values and expressed as a per mil (‰) deviation from the international reference standards (PDB for carbon and AIR for nitrogen). Replicate analysis of standards (USGS 40, USGS 41 and an in-house bovine liver standard) yielded standard deviations of 0.05 – 0.29 for δ15N and 0.05 – 0.22 for δ13C. \nCementum ageing was undertaken by Matson’s Lab LLC (Manhattan, MT, USA) following a standard protocol. After decalcification in a weak hydrochloric acid solution, teeth were sectioned sagittally and mounted on glass slides. The sections were stained to allow visual differentiation of annual cementum growth layers. These layers (annuli) were examined microscopically for age estimation at time of death. Birth date was set to 1 May for the purpose of estimating age in months.\nCalibration with historical dataset: Combination of new and historical data involved applying the limits of detection (LOD) for each compound from Shore et al. (2003), which were higher than those in the present study, to eliminate biases caused by changes in analytical sensitivity.\nFor full references please refer to the supporting document.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:07:53.000Z","organisation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f49911c-192c-4f09-a1a2-72a21f20706c","10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c","doi:10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in...","state":"published","title":"Secondary exposure to second-generation anticoagulant rodenticides in European polecats (Mustela putorius) in Great Britain 2013 to 2016","topic":["0/Environmental risk/","0/Environmental survey/","0/Agriculture/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Bhardwaj","Dodd","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Bhardwaj, C.L.","Dodd, J.C.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorGivenName":["C.L.","J.C.","N.","I.","R."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Micro-organic herbicide levels in river water for various sites within the Humber and Tweed catchments collected as part of the Land Ocean Interaction Study project (LOIS). The dataset contains data for Phenyl urea and Phenoxy acid herbicides, measured as 2,4-Dichlorophenoxyacetic acid, 4-(4-Chloro-O-tolyloxy) butyric acid, 4-Chloro-O-tolyloxyacetic acid, Chlorotoluron dissolved, Diuron dissolved, Isoproturon dissolved, Linuron dissolved, Mecoprop dissolved. Phenyl urea herbicide data is available for twelve sites in the Humber catchment within 1994 to 1995 and 1994 to 1997 and for three sites on the Tweed catchment within 1995. Phenoxy acid herbicide data is available for six sites (S1, U3, N4, W5 and O6) over the period December 1994 to September 1995, for 7 sites (S2, D7, A8, C9, D10, T11 and O12) over the period December 1994 to February 1997 and 3 sites (TW13, TW14 and TW15) over the period January 1995 to September 1995. Attempts were made to sample the sites at weekly intervals. However sampling was halted for short periods when it was not possible to process the samples quickly. Linuron dissolved was only measured from April 1994 - October 1994. Samples were collected in chromic acid-washed 1 litre glass bottles. Herbicide levels were concentrated before being measured using High Performance Liquid Chromatography for Phenyl urea herbicides and Gas Chromatography for Phenoxy acid herbicides. Until November 1994, analysis was completed by the York University and the Institute for Freshwater Ecology, Wareham, laboratories. From December 1994 onwards the samples were dispatched to the Institute for Hydrology, Wallingford, for extraction and analyses.","documentType":"GEMINI_DOCUMENT","familyName":["Bhardwaj","Dodd","Bachiller-Jareno","Tindall","Moore"],"fullName":["Bhardwaj, C.L.","Dodd, J.C.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"givenName":["C.L.","J.C.","N.","I.","R."],"identifier":"e28ffc01-880d-423f-acb6-879b9fd4603a","incomingCitationCount":0,"keyword":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","Phenyl urea","Phenoxy acid","2-4-Dichlorophenoxyacetic acid","4-(4-Chloro-O-tolyloxy) butyric acid","4-Chloro-O-tolyloxyacetic acid","Chlorotoluron","Diuron","Isoproturon","Linuron","Mecoprop","Land Ocean Interaction Study","LOIS","water quality","herbicide","Water quality"],"keywordsOther":["Phenyl urea","Phenoxy acid","2-4-Dichlorophenoxyacetic acid","4-(4-Chloro-O-tolyloxy) butyric acid","4-Chloro-O-tolyloxyacetic acid","Chlorotoluron","Diuron","Isoproturon","Linuron","Mecoprop","Land Ocean Interaction Study","LOIS","water quality","herbicide","Water quality"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"licence":"Open government licence","lineage":"Phenyl urea herbicides were concentrated by using one of the following methods: solid phase extraction (SPE) using C18 (1gm, 6ml) (EC) (ISOLUTE) cartridges and eluting with ethyl acetate; as previous method except that the dried cartridge after loading was washed with 6ml of methanol: water:: 1:1 (to remove the impurities) before eluting the herbicides with methanol; liquid-liquid extraction with dichloromethane. Phenoxy acid herbicides were concentrated using liquid-liquid extraction with dichloromethane. Phenyl urea herbicides were measured by High Performance Liquid Chromatography (HPLC) with detection by a UV/VIS detector and phenoxy acid herbicides by Gas Chromatography (GC) with detection by a mass selective detector (GS-MS). One sample from each batch was randomly spiked with a mixed standard of urea and acid herbicides for comparison purposes. For all determinands certified grade standards of purity >99% were used. The laboratory at Wallingford takes part in WRC's AQUACHECK inter-laboratory harmonisation exercise for urea and acid herbicides. Data quality for both groups of herbicides is variable because of the nature of samples (Aire, Calder, Don and Trent were found to be highly polluted resulting in complex chromatograms), the level of herbicides present (mostly they are close to the detection limit) and difficulties in extraction especially in liquid-liquid extraction where they formed emulsions. A zip file of box-and-whisker plots are available for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site to enable prospective users to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"metadataDate":"2026-05-11T18:25:34.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2013-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1373029956118","CEH:EIDC::1373029956118","https://catalogue.ceh.ac.uk/id/e28ffc01-880d-423f-acb6-879b9fd4603a","10.5285/e28ffc01-880d-423f-acb6-879b9fd4603a","doi:10.5285/e28ffc01-880d-423f-acb6-879b9fd4603a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Micro-organic herbicide levels in river water for various sites within the Humber and Tweed catchments collected as part of the Land Ocean Interaction Study project (LOIS). The dataset contains data for Phenyl urea and Phenoxy acid herbicides, measured as 2,4-Dichlorophenoxyacetic...","state":"published","supplementalDescription":["British Oceanographic Data Centre's webpages for information on and data from the coastal and marine aspects of the LOIS project."],"supplementalName":["BODC LOIS web pages (coastal and marine)"],"title":"Micro-organic herbicides data from rivers [LOIS]","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Leeds","APEM Limited"],"authorFamilyName":["Shannon","Stebbing","Quinn","Warren","Dunn"],"authorFullName":["Shannon, C.F.","Stebbing, P.D.","Quinn, C.H.","Warren, D.A.","Dunn, A.M."],"authorGivenName":["C.F.","P.D.","C.H.","D.A.","A.M."],"authorOrcid":["https://orcid.org/0000-0001-9718-2899","https://orcid.org/0000-0001-7189-4409","https://orcid.org/0000-0002-2085-0446","https://orcid.org/0000-0002-2073-7857","https://orcid.org/0000-0002-4855-1077"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data contains the results of student and professional perceptions surveys conducted in the UK before and after e-Learning training, as part of a project to determine the effectiveness of e-Learning as a training tool. The dataset include two surveys; before and after e-Learning training. Students and professionals were given two separate surveys which were combined to create one dataset. The surveys were collected between September 2015 and July 2018.\n\nThe objective of the survey was to collect data on participants’ awareness, risk perceptions and self-reported behaviours on biosecurity for invasive species. The topics on both the before and after survey included age, role at institution, field of work/study, field activity environments, cleaning methods for equipment, outerwear/footwear and transport and awareness and perceptions of risk around invasive species and biosecurity campaigns. The data does not include the aggregated cleaning scores that were used for the analysis nor has it excluded any participants that were not used in the final data analysis. The dataset has been anonymised by removing names of respondents, email addresses, departments or organisations worked for or studied in, and text responses which could have made the participant identifiable.\n\nThe research was funded by NERC project no NE/N008391/1.","documentType":"GEMINI_DOCUMENT","familyName":["Shannon","Stebbing","Quinn","Warren","Dunn"],"fullName":["Shannon, C.","Shannon, C.F.","Stebbing, P.D.","Quinn, C.H.","Warren, D.A.","Dunn, A.M."],"funder":["Natural Environment Research Council"],"givenName":["Caitriona","C.F.","P.D.","C.H.","D.A.","A.M."],"grant":["NE/N008391/1"],"identifier":"ac271791-b722-489c-9b68-b37316ec826c","incomingCitationCount":0,"keyword":["Invasive species","Environmental risk","opinion survey"],"keywordsOther":["opinion survey"],"keywordsTheme":["Invasive species","Environmental risk"],"licence":"Open government licence","lineage":"All data was collected online using Online Surveys. Information of each survey is detailed in the supporting information. Both the before training and after training surveys took less than 10 minutes to complete. The number of the respondents in the before training survey was 804, and the number of respondents in the post training survey was 79. The spreadsheet has been converted to a CSV file. ","metadataDate":"2026-05-11T18:19:34.000Z","orcid":["https://orcid.org/0000-0001-9718-2899","https://orcid.org/0000-0001-7189-4409","https://orcid.org/0000-0002-2085-0446","https://orcid.org/0000-0002-2073-7857","https://orcid.org/0000-0002-4855-1077"],"organisation":["University of Leeds","APEM Limited","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-01-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac271791-b722-489c-9b68-b37316ec826c","10.5285/ac271791-b722-489c-9b68-b37316ec826c","doi:10.5285/ac271791-b722-489c-9b68-b37316ec826c"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This data contains the results of student and professional perceptions surveys conducted in the UK before and after e-Learning training, as part of a project to determine the effectiveness of e-Learning as a training tool. The dataset include two surveys; before and...","state":"published","title":"UK public perceptions around invasive species and biosecurity before and one year after undertaking e-Learning, 2015-2018","topic":["0/Invasive species/","0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["British Trust for Ornithology"],"authorFamilyName":["Plummer","Siriwardena"],"authorFullName":["Plummer, K.E.","Siriwardena, G.M."],"authorGivenName":["K.E.","G.M."],"authorOrcid":["https://orcid.org/0000-0003-0076-4505","https://orcid.org/0000-0003-2010-1186"],"authorRor":["https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises bird abundance data collected using point count methods in Bedford, Luton and Milton Keynes in the summer of 2013.  The purpose of the study was to characterise the variation in breeding bird fauna across a range of urban forms.  As well as measuring the birds that were 'really' present, the survey aimed to investigate the birds detectable at times of day when people were more active and more likely to have casual encounters with them. \n\nThese data were collected as part of the Fragments, Functions and Flows in Urban Ecosystem Services (F3UES) project, as part of the Biodiversity and Ecosystem Service Sustainability (BESS) framework.","documentType":"GEMINI_DOCUMENT","familyName":["Plummer","Siriwardena"],"fullName":["Plummer, K.","Plummer, K.E.","Siriwardena, G.M."],"funder":["Natural Environment Research Council"],"givenName":["Kate","K.E.","G.M."],"grant":["NE/J015067/1"],"identifier":"c4806e25-5325-4b01-8066-91a8fb55eb41","incomingCitationCount":2,"keyword":["Bedford","Luton","Milton Keynes","BESS","F3UES","UrbanBESS","people","biodiversity","urban area","ecosystem services","bird"],"keywordsOther":["people","biodiversity","urban area","ecosystem services","bird"],"keywordsPlace":["Bedford","Luton","Milton Keynes"],"keywordsProject":["BESS","F3UES","UrbanBESS"],"licence":"Open government licence","lineage":"The data were collected between May and August 2013 in Bedford, Luton and Milton Keynes, UK.  A subset of 500m x 500m survey tiles (n = 116) were selected from across the three towns using a stratified sampling design.  Point count methods were then used to survey birds at up to four pre-defined survey points within each tile.  All tiles were visited six or seven times; two visits were made between 06:00am and 10:00am in May and June and all other visits were made monthly between 10:00am and 18:00pm.  During each visit, ten minute point counts were conducted at all survey points within the tile in a random order.  Over two-minute intervals, observers recorded all birds seen or heard within five distance categories or in flight.  Birds singing and not singing were recorded separately.  The survey conditions and the numbers of people observed during each observation period were also recorded.  (see Supporting documentation for details, available by 31 December 2018 at the latest)\n\nSeveral data inputters were used to digitally input the field data sheets. Then the completed dataset was compiled, error checked and validated. These were converted to csv files for deposit to the data centre.","locations":["POLYGON((-1.064 51.648, -1.064 52.453, 0.306 52.453, 0.306 51.648, -1.064 51.648))"],"metadataDate":"2026-05-11T18:22:24.000Z","orcid":["https://orcid.org/0000-0003-0076-4505","https://orcid.org/0000-0003-2010-1186"],"organisation":["British Trust for Ornithology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-02-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c4806e25-5325-4b01-8066-91a8fb55eb41","10.5285/c4806e25-5325-4b01-8066-91a8fb55eb41","doi:10.5285/c4806e25-5325-4b01-8066-91a8fb55eb41"],"resourceType":"Dataset","ror":["https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises bird abundance data collected using point count methods in Bedford, Luton and Milton Keynes in the summer of 2013.  The purpose of the study was to characterise the variation in breeding bird fauna across a range of urban forms.  As well as measuring...","state":"published","supplementalDescription":["The F3UES project website"],"title":"Point count survey data for birds in the east of England, UK, in 2013","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Powell"],"authorFullName":["Powell, K."],"authorGivenName":["K."],"authorOrcid":["https://orcid.org/0000-0002-6089-0872"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA).\n\nThe data were collected from sites throughout England, between 2002-2019, from March to May, and September to November.  Samples were collected using three-minute kick-samples, whereby a net is used to catch invertebrates and debris flowing downstream of an area in a river which is disturbed by a recorder for three minutes.  Data before 2002 were excluded as abundance of macroinvertebrates was not recorded widely before this year. \n\nThe data were originally collected for the purpose of understanding water quality by the Environment Agency. The original EA data contains raw counts of mixed-taxonomic groupings of invertebrates and some diatoms and other taxa, from rivers in England with multiple sampling methodologies. Here, the derived data has been processed in such a way to combine counts at a single taxonomic level (family) containing only taxonomic groups of interest for the research, and the data are limited to one sampling method.","documentType":"GEMINI_DOCUMENT","familyName":["Powell"],"fullName":["Powell, K."],"givenName":["Kathryn","K."],"identifier":"f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","incomingCitationCount":1,"keyword":["Water quality","Macroinvertebrates ","Freshwater","Ephemeroptera","Plecoptera","Hemiptera","Megaloptera","Odonata","Coleoptera","Trichoptera","Turbellaria","Annelida","Crustacea","Diptera","Mollusca","mayflies","stoneflies","caddis flies","dragonflies","damselflies","worms"],"keywordsOther":["Macroinvertebrates ","Freshwater","Ephemeroptera","Plecoptera","Hemiptera","Megaloptera","Odonata","Coleoptera","Trichoptera","Turbellaria","Annelida","Crustacea","Diptera","Mollusca","mayflies","stoneflies","caddis flies","dragonflies","damselflies","worms"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"This data has been processed in the following manner: \n * Data from all EA sampling regions (Anglian, Midlands, Northeast, Northwest, Southern, Southwest and Thames) have been combined into one data file\n * Samples taken outside of the Spring (March-May inclusive) and Autumn (September-November inclusive) were removed\n * Data were restricted to three-minute kick samples only (meaning 'dredge' samples were removed)\n * All data taken before 2002 were removed\n * Only data classified in the following taxa by the EA were retained: Ephemeroptera, Plecoptera, Hemiptera, Megaloptera, Odonata, Coleoptera, Trichoptera, Turbellaria, Annelida, Crustacea, Diptera and Mollusca\n * Total abundance of macroinvertebrates per Sample ID were summed at the family-level within these taxa\n * Eleven samples with anomalous abundance counts for a taxonomic group were removed from the data\n * The number of sampling occurrences was calculated for each site-season-year combination, and only sites where samples had been taken in both spring and autumn at least once for a minimum of three years in the remaining time series (2002-2019) were retained.\n\nThe data have been pooled by family and wider taxonomic groupings.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-05-11T18:19:08.000Z","orcid":["https://orcid.org/0000-0002-6089-0872"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Reading","Environment Agency"],"publicationDate":"2023-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","doi:10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1"],"resourceType":"Dataset","rightsHolder":["University of Reading","Environment Agency"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA).\n\nThe data were collected from...","state":"published","supplementalName":["Environment Agency Ecology and Fish Data Explorer"],"title":"Freshwater macroinvertebrate family abundances in spring and autumn, England, 2002-2019","topic":["0/Water quality/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Aberdeen","CONICET","Universidad de Concepción ","Universidad de Concepción","Servicio Agrícola y Ganadero","Universidade Estadual Paulista (UNESP)","Universidad Austral de Chile","Universidad Nacional del Comahue","Universidade Estadual Paulista (Unesp)"],"authorFamilyName":["García Díaz","Montti","Powell","Phimister","Pizarro","Fasola","Langdon","Pauchard","Raffo","Bastías","Damasceno","Fidelis","Huerta","Linardaki","Moyano","Núñez","Ortiz","Rodríguez-Jorquera","Roesler","Tomasevic","Burslem","Cava","Lambin"],"authorFullName":["García Díaz, P.","Montti, L.","Powell, P.A.","Phimister, E.","Pizarro, J.C.","Fasola, L.","Langdon, B.","Pauchard, A.","Raffo, E.","Bastías, J.","Damasceno, G.","Fidelis, A.","Huerta, M.F.","Linardaki, E.","Moyano, J.","Núñez, M.A.","Ortiz, M.I.","Rodríguez-Jorquera, I.","Roesler, I.","Tomasevic, J.A.","Burslem, D.F.R.P.","Cava, M.","Lambin, X."],"authorGivenName":["Pablo","L. ","P.A.","E.","J.C. ","L.","B.","A.","J. ","G.","M.F.","E. ","J.","M.A.","M.I.","I.","J.A. ","D.F.R.P.","M.","X."],"authorOrcid":["https://orcid.org/0000-0001-5402-0611","https://orcid.org/0000-0003-0301-016X","https://orcid.org/0000-0003-3911-0912","https://orcid.org/0000-0002-6483-0113","https://orcid.org/0000-0002-5240-2816","https://orcid.org/0000-0001-8397-1774","https://orcid.org/0000-0003-1284-3163","https://orcid.org/0000-0001-9218-0632","https://orcid.org/0000-0001-5103-484X","https://orcid.org/0000-0001-9545-2285","https://orcid.org/0000-0002-7072-0527","https://orcid.org/0000-0003-0324-5479","https://orcid.org/0000-0001-8854-8422","https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-6630-5347","https://orcid.org/0000-0003-4643-2653"],"authorRor":["https://ror.org/016476m91","https://ror.org/0460jpj73","https://ror.org/00987cb86"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies:  pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia Region (Argentina); (iii) privet (Ligustrum lucidum) in the Yungas Forest (Argentina); (iv) invasive grasses (Urochloa brizantha and Urochloa decumbens) in the Cerrado (Brazil); (v) the American mink (Neovison vison) in Austral Patagonia (Argentina); (vi) the American mink in the Los Ríos Region (Chile); and, (vi) the yellow jacket wasps (Vespula germanica) in the Los Ríos Region (Chile). The impacts were elicited by experts (varying between two and four experts for each case study) following the procedures described in the supporting files.\n\nA total of 1,526 impacts were identified by the experts, and these impacts can be found in the \"Compiled-Impact.csv\" file. This file contains information about the impact outcome, impact mechanism, EICAT impact category, level of confidence, the species or asset impacted, the direction of the impact, the extent of the study area, the name of the IAS, whether the IAS is a plant or an animal, and the country.\n\nAfter two rounds of scoring, the impacts listed in the “Compiled-Impact.csv” were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). The final, agreed impact scores can be found in the file \"Unique-Impact.csv\". This final dataset contains 209 impacts and information about the same variables described above for the \"Compiled-Impact.csv\" file.","documentType":"GEMINI_DOCUMENT","familyName":["García Díaz","Montti","Powell","Phimister","Pizarro","Fasola","Langdon","Pauchard","Raffo","Bastías","Damasceno","Fidelis","Huerta","Linardaki","Moyano","Núñez","Ortiz","Rodríguez-Jorquera","Roesler","Tomasevic","Burslem","Cava","Lambin"],"fullName":["García Díaz, P.","Montti, L.","Powell, P.A.","Phimister, E.","Pizarro, J.C.","Fasola, L.","Langdon, B.","Pauchard, A.","Raffo, E.","Bastías, J.","Damasceno, G.","Fidelis, A.","Huerta, M.F.","Linardaki, E.","Moyano, J.","Núñez, M.A.","Ortiz, M.I.","Rodríguez-Jorquera, I.","Roesler, I.","Tomasevic, J.A.","Burslem, D.F.R.P.","Cava, M.","Lambin, X."],"funder":["Natural Environment Research Council"],"givenName":["Pablo","L. ","P.A.","E.","J.C. ","L.","B.","A.","J. ","G.","M.F.","E. ","J.","M.A.","M.I.","I.","J.A. ","D.F.R.P.","M.","X."],"grant":["NE/S011641/1"],"identifier":"d00a647a-16ec-4d2a-a3a3-ad59597e8ca2","incomingCitationCount":0,"keyword":["Invasive species","Alien species","Collaborative process","Expert elicitation","Latin America","Natural resource management planning","Uncertainty"],"keywordsOther":["Alien species","Collaborative process","Expert elicitation","Latin America","Natural resource management planning","Uncertainty"],"keywordsTheme":["Invasive species"],"licence":"Open government licence","lineage":"Expert elicitation activity\n\nMethods & contents: Seventeen experts working on seven case studies received individual Impact Score spreadsheets based on the \"CONTAIN-ImpactScoringSheet(MinkExampleSalamanca-English).xlsx\", and were instructed to complete them independently following the guidance provided in the file \"CONTAIN-ImpactScoringInstructions.pdf\". All the impacts listed by the experts can be found in the \"Compiled-Impact.csv\" file. After two rounds of scoring, the results were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). \n\nWe conducted a preliminary evaluation of the usefulness of our methods by sending the \"ImpactBrief-CONTAIN(Español).pdf\" and \"ImpactBrief-CONTAIN(English).pdf\" to our collaborators in Latin America. This part was carried out by co-authors LM, PAP, LF, BL, AP, and ER.\n\nThe final, agreed, impact scores can be found in the file \"Unique-Impact.csv\". ","locations":["POLYGON((-84.024 -56.364, -84.024 -2.812, -34.102 -2.812, -34.102 -56.364, -84.024 -56.364))"],"metadataDate":"2026-05-11T18:13:07.000Z","orcid":["https://orcid.org/0000-0001-5402-0611","https://orcid.org/0000-0003-0301-016X","https://orcid.org/0000-0003-3911-0912","https://orcid.org/0000-0002-6483-0113","https://orcid.org/0000-0002-5240-2816","https://orcid.org/0000-0001-8397-1774","https://orcid.org/0000-0003-1284-3163","https://orcid.org/0000-0001-9218-0632","https://orcid.org/0000-0001-5103-484X","https://orcid.org/0000-0001-9545-2285","https://orcid.org/0000-0002-7072-0527","https://orcid.org/0000-0003-0324-5479","https://orcid.org/0000-0001-8854-8422","https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-6630-5347","https://orcid.org/0000-0003-4643-2653"],"organisation":["University of Aberdeen","CONICET","Universidad de Concepción ","Universidad de Concepción","Servicio Agrícola y Ganadero","Universidade Estadual Paulista (UNESP)","Universidad Austral de Chile","Universidad Nacional del Comahue","Universidade Estadual Paulista (Unesp)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2","10.5285/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2","doi:10.5285/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/0460jpj73","https://ror.org/00987cb86","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies:  pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia...","state":"published","title":"Inventory of impacts of seven invasive alien species in Chile, Brazil, and Argentina. Results of an expert elicitation exercise","topic":["0/Invasive species/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"This data collection contains model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates at 3 km x 3 km grid for the years 2002 to 2021, and estimates at 1 km x 1 km resolution for 2018.\n\nThe data consists of atmospheric composition and deposition values of various pollutants; including PM10, PM2.5, secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), SO2, NH3, NOX, and O3.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\n\nThe data collection consists of four data sets containing:\n\n-\tDaily atmospheric composition for 2002-2021\n-\tMonthly atmospheric dry and wet deposition for 2002-2021\n-\tAnnual vegetation specific dry deposition for 2018\n-\tHigh resolution annual vegetation specific dry deposition for 2018","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Vieno"],"fullName":["Scheffler, J.","Vieno, M."],"givenName":["Janice","Massimo"],"identifier":"52a8e714-2979-4dce-9d85-061c0dac5857","incomingCitationCount":0,"keyword":["Aerosol","Ammonia","Coarse nitrate particulate","Dust","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","Fine nitrate particulat"," HNO3"," NH3","Nitric acid","nitrogen dioxide","NO2","NOx","O3","UK-SCAPE"],"keywordsOther":["Aerosol","Ammonia","Coarse nitrate particulate","Dust","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","Fine nitrate particulat"," HNO3"," NH3","Nitric acid","nitrogen dioxide","NO2","NOx","O3","UK-SCAPE"],"licence":"Non-Open government licence","metadataDate":"2026-04-20T12:16:11.000Z","organisation":["NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2022-08-18T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/52a8e714-2979-4dce-9d85-061c0dac5857"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This data collection contains model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates at 3 km x 3 km grid for the years 2002...","state":"published","supplementalDescription":["EMEP4UK"],"title":"European Monitoring and Evaluation Program Model for the UK (EMEP4UK) atmospheric composition and deposition for UK-SCAPE (2002-2021)","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Miller","Hutchins"],"authorFullName":["Miller, J.","Hutchins, M."],"authorGivenName":["J.","M."],"authorOrcid":["https://orcid.org/0000-0002-7705-8898","https://orcid.org/0000-0003-3764-5331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Urban water quality and hydrometric data for a range of urban developments in in the south of England. Water quality has been obtained from fortnightly-monthly sampling of river water using a Manta 2 sonde, and includes the parameters: ammonium, DO, pH, specific conductivity, temperature and turbidity. Rainfall was measured using a number of 2mm tipping bucket raingauges across the urban sites and through QC deriving a 15min time series of rainfall in millimetres for each site. Flow in cumecs was derived from in-situ stream channel measurements of velocity and depth using ultrasonic flow monitoring gauges. ","documentType":"GEMINI_DOCUMENT","familyName":["Hutchins","Miller"],"fullName":["Hutchins, M.","Miller, J."],"givenName":["Michael","J.","M."],"identifier":"793874b5-48b0-4971-8172-1cf97c35230f","incomingCitationCount":0,"keyword":["West London","Swindon","Bracknell","Water quality","Hydrology","urban rivers","river flow","DO","pH","specific conductivity","temperature","rainfall","turbidity","dissolved oxygen","ammonium","atmospheric precipitation","river"],"keywordsOther":["urban rivers","river flow","DO","pH","specific conductivity","temperature","rainfall","turbidity","dissolved oxygen","ammonium","atmospheric precipitation","river"],"keywordsPlace":["West London","Swindon","Bracknell"],"keywordsTheme":["Water quality","Hydrology"],"licence":"Open government licence","lineage":"Hydrological and water quality data from urban catchments. Data time-step ranges from sub-hourly to monthly. Period of record is from autumn 2013 to spring 2017 with the bulk of the dataset being 24 month duration from autumn 2013. Depth and velocity data for small streams are converted to discharge measurements using cross-sectional information.","locations":["POLYGON((-2.936 50.483, -2.936 52.587, 1.9 52.587, 1.9 50.483, -2.936 50.483))"],"metadataDate":"2026-05-11T18:23:29.000Z","orcid":["https://orcid.org/0000-0002-7705-8898","https://orcid.org/0000-0003-3764-5331"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-10-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/793874b5-48b0-4971-8172-1cf97c35230f","10.5285/793874b5-48b0-4971-8172-1cf97c35230f","doi:10.5285/793874b5-48b0-4971-8172-1cf97c35230f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Urban water quality and hydrometric data for a range of urban developments in in the south of England. Water quality has been obtained from fortnightly-monthly sampling of river water using a Manta 2 sonde, and includes the parameters: ammonium, DO, pH, specific conductivity,...","state":"published","title":"Thames catchment hydrometric and water quality data 2013-17","topic":["0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","James","Keenan","Mackay","McShane","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","H.T.","M.A.","M.M.","B.A.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2019 until the end of 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","James","Keenan","Mackay","McShane","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","H.T.","M.A.","M.M.","B.A.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"79ae89dd-a597-4dc9-9cc9-bb82cbf33559","incomingCitationCount":0,"keyword":["lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"keywordsOther":["lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake.\n","locations":["POLYGON((-3.005 54.264, -3.005 54.388, -2.888 54.388, -2.888 54.264, -3.005 54.264))"],"metadataDate":"2026-05-11T17:45:04.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/79ae89dd-a597-4dc9-9cc9-bb82cbf33559","10.5285/79ae89dd-a597-4dc9-9cc9-bb82cbf33559","doi:10.5285/79ae89dd-a597-4dc9-9cc9-bb82cbf33559"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some...","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere South Basin, 2019-2020","version":1.0,"view":["public","elsdhi"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Geography Markup Language (gml)","Shapefile"],"description":"Spot heights (elevation values in metres) for areas within the Plynlimon catchments; digitised from scanned topographic maps of Plynlimon Catchment Areas.","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fullName":["Fry, M."],"givenName":["Matt"],"identifier":"0f78563c-f678-41ec-aed7-7103a363a939","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Mapping","Water quality","Hydrology","hydrochemistry"],"keywordsOther":["hydrochemistry"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago"],"keywordsTheme":["Mapping","Water quality","Hydrology"],"licence":"Non-Open government licence","lineage":"The spot heights have been digitised from scanned topographic maps from Plynlimon Catchment Areas. \n\nThe topographic maps references are: Plynlimon Catchment Areas - Severn Catchment. Sheet No. 1. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas - Wye Catchment. Sheet No. 2. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas. Sheet No. 1. Scale 1:10000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968.","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-04-22T13:53:03.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1364220637535","CEH:EIDC::1364220637535","https://catalogue.ceh.ac.uk/id/0f78563c-f678-41ec-aed7-7103a363a939"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Spot heights (elevation values in metres) for areas within the Plynlimon catchments; digitised from scanned topographic maps of Plynlimon Catchment Areas.","state":"published","title":"Plynlimon research catchments: spot heights","topic":["0/Mapping/","0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"authorFullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"authorGivenName":["K.B.","J.A.","K.","S.","E.F.","B."],"authorOrcid":["https://orcid.org/0000-0002-5027-0207","https://orcid.org/0000-0001-7183-4115","https://orcid.org/0000-0002-2689-946X","https://orcid.org/0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring project on the breeding biology and behaviour of birds. ","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"af4c9b5a-fba9-4133-b782-2a2cbc927280","incomingCitationCount":0,"keyword":["Ringing records","ornithology","ringing (wildlife)"],"keywordsOther":["Ringing records","ornithology","ringing (wildlife)"],"licence":"Open government licence","lineage":"During April - June, all unringed breeding pairs were trapped at the nest and fitted with a British Trust for Ornithology (BTO) metal leg ring. Great tits and blue tits were additionally fitted with a plastic leg ring containing a RFID tag (IB Technologies, UK). All nestlings were also fitted with these tags at 2 weeks old. Additional ringing was carried out throughout the autumn and winter across the woodland. Birds were trapped using mistnets; biometrics (mass, wing length, tarsus length, fats score) were recorded for all birds and immigrants to the population were fitted with tags. All birds were released after they were processed. These data were entered into our internal Edward Grey Institute (EGI) Bird data Management Project application (EBMP), where they underwent a number of quality checks.","locations":["POLYGON((-1.356 51.751, -1.356 51.784, -1.293 51.784, -1.293 51.751, -1.356 51.751))"],"metadataDate":"2026-05-11T18:10:28.000Z","orcid":["https://orcid.org/0000-0002-5027-0207","https://orcid.org/0000-0001-7183-4115","https://orcid.org/0000-0002-2689-946X","https://orcid.org/0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af4c9b5a-fba9-4133-b782-2a2cbc927280","10.5285/af4c9b5a-fba9-4133-b782-2a2cbc927280","doi:10.5285/af4c9b5a-fba9-4133-b782-2a2cbc927280"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring...","state":"published","title":"Bird ringing records from Wytham Woods, Oxfordshire, UK during 2020 and 2021","version":1.0,"view":["public","margla"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}