{"numFound":2342,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2","results":[{"publicationDate":"2024-01-30T00:00:00.000+00:00","metadataDate":"2026-03-26T13:39:16.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["H.","H.T.","M.A.","M.M.","B.A.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"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."],"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"],"catalogue":"eidc","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","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"79ae89dd-a597-4dc9-9cc9-bb82cbf33559","incomingCitationCount":0,"givenName":["H.","H.T.","M.A.","M.M.","B.A.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"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."],"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))"],"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"],"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"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"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,"dataFormat":["Comma-separated values (CSV)"],"view":["public","elsdhi"],"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..."},{"metadataDate":"2025-11-13T16:14:31.000+00:00","catalogue":"eidc","description":"Behavioural experiments in the laboratory with three-spined stickleback fish (Gasterosteus aculeatus) were carried out between March 2012 and February 2013. Data are available for fish learning and fish personality. The fish learning data are of speed and accuracy of decision making in stickleback fish of different personalities. The fish personality data are on catch order, mean time spent out of cover, proportion of time fish spent out of cover, sex differences for the catch order, sex differences for the catch order on two occasions and sex differences in the proportion of time spent out of cover. The work was funded by a BBSRC studentship, NERC (grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) and The Royal Society (RG 110401) Data were collected under controlled laboratory conditions. All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). ","documentType":"GEMINI_DOCUMENT","identifier":"2d94d32d-4df3-4746-b193-8898a019e16a","incomingCitationCount":0,"keyword":["Stickleback","fish","Gasterosteus aculeatus","Animal behaviour","exploration","Behavioral Syndromes","learning","personality","maze","cognotion"],"keywordsOther":["Stickleback","fish","Gasterosteus aculeatus","Animal behaviour","exploration","Behavioral Syndromes","learning","personality","maze","cognotion"],"licence":"Open government licence","lineage":"For the fish learning data a laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze, constructed out of opaque gray plastic with 3 arms. A start maze and binary choice, one of which contained a food reward. Panasonic HDC-SD60 high-definition video cameras, each mounted directly above mazes, were used to record speed and accuracy of decision making in stickleback fish of different personalities. For the fish personality data tests of exploratory behaviour were undertaken in isolation in test tanks. A Panasonic HDC-SD60 high-definition video camera was mounted directly above the tanks were used to record fish movements. Times were recorded of time taken for fish to locate food reward. For the catch order data each fish net-caught from their aquarium was assigned a catch number. 1 was allocated to the fish that was caught first, 2 allocated to the fish that was caught second and so on. All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"recordType":"Data collection","resourceIdentifier":["1429016440717","CEH:EIDC::1429016440717","https://catalogue.ceh.ac.uk/id/2d94d32d-4df3-4746-b193-8898a019e16a"],"availability":"Unknown","resourceType":"Aggregation","state":"published","title":"Behavioural experiments in the laboratory with stickleback fish","version":1.0,"view":["public","danor"],"shortenedDescription":"Behavioural experiments in the laboratory with three-spined stickleback fish (Gasterosteus aculeatus) were carried out between March 2012 and February 2013. Data are available for fish learning and fish personality. The fish learning data are of speed and accuracy of..."},{"publicationDate":"2018-08-09T00:00:00.000+00:00","metadataDate":"2026-04-14T10:28:37.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["J."],"authorFamilyName":["Hall"],"authorFullName":["Hall, J."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution AAE data summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats.  The data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK.  The AAE has been calculated using UK 5x5 km Concentration Based Estimated Deposition (CBED) data for 2013-15 - https://doi.org/10.5285/fd8151e9-0ee2-4dfa-a254-470c9bb9bc1e .  The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition.  Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia).","documentType":"GEMINI_DOCUMENT","identifier":"e32745d2-fb56-4f91-a235-6b213a8b45cb","incomingCitationCount":0,"givenName":["J.","Ed"],"familyName":["Hall","Rowe"],"fullName":["Hall, J.","Rowe, E."],"keyword":["Pollution","critical load","acidity","nitrogen","pollutant deposition"],"keywordsTheme":["Pollution"],"keywordsOther":["critical load","acidity","nitrogen","pollutant deposition"],"licence":"Open government licence","lineage":"Average Accumulated Exceedance (AAE) is calculated at 1x1 km resolution and summarises the exceedance of critical loads of acidity, and of nutrient nitrogen, for multiple habitats.  It is derived from the exceedance (i.e. the amount of excess acid or nitrogen deposition above the critical load) for each habitat, the exceeded habitat area and the total acid- or nitrogen-sensitive habitat area in each 1x1 km grid square.  \n\nFor all habitats (except managed woodland) nutrient nitrogen, empirical critical loads have been allocated values based on habitat type and have been defined under the Coordination Centre for Effects (CCE) working group as part of the UNECE Convention on Long-range Transboundary Air Pollution UNECE. ( https://wge-cce.org/Publications/Other_CCE_Reports/Review_and_revision_of_empirical_critical_loads_and_dose_response_relationships_2011 ) .  For managed woodlands the steady state mass-balance approach is used where the long-term inputs and outputs of nitrogen from the system are calculated based on  nitrogen uptake (removal by harvesting of trees), nitrogen immobilisation, denitrification, and nitrogen leaching. Acidity critical loads are based on the mineralogy and chemistry of the dominant soil type in each 1km grid square together with habitat-specific data. Critical load values are calculated depending on soil type - mineral soils or peat soils. \n\nCritical loads for acidity and nutrien nitoren are compared with deposition data over the UK using three-year rolling mean 5x5 km Concentration Based Estimated Deposition ( https://doi.org/10.5285/fd8151e9-0ee2-4dfa-a254-470c9bb9bc1e ). By overlaying CBED data of acid or nitrogen deposition on the critical loads data for acidity and nitrogen, exceedance maps can be generated. Simple statistics are further generated to quantify the area of sensitive habitats associated with critical load exceedances. Exceedances are calculated separately for each habitat type using habitat-specific deposition values: mean deposition to moorland (i.e., low-growing vegetation) is applied to the coastal, grassland, heathland and montane habitats; mean deposition to forests is applied to all woodland habitats. Critical loads for terrestrial habitats are mapped at 1km resolution and national deposition data are currently available on a 5 km grid. Exceedances for these habitats are calculated at 1km resolution by assuming that deposition values remain constant across each 5km grid square. Exceedances for freshwaters use catchment-weighted deposition values.\n\nFurther details are given in the supporting documentation which gives reference to the full online methodological report (2015).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e32745d2-fb56-4f91-a235-6b213a8b45cb","10.5285/e32745d2-fb56-4f91-a235-6b213a8b45cb","doi::10.5285/e32745d2-fb56-4f91-a235-6b213a8b45cb"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["This website provides the key mechanism by which the scientific understanding of the effects of nitrogen and sulphur deposition on terrestrial and aquatic ecosystems is translated into policy-relevant predictions of the spatial extent and timescales of damage and recovery.  It brings together the mapping and modelling of critical loads and critical levels, pollutant deposition and concentrations, to generate critical load and critical level exceedance data.  "],"supplementalName":["UK Critical Loads and Dynamic Modelling"],"title":"Average Accumulated Exceedance (AAE) of critical loads of acidity and nutrient nitrogen by acid and nitrogen deposition for 2013-15","topic":["0/Pollution/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","leav","dgwr"],"shortenedDescription":"This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution AAE data summarising the exceedances of nutrient nitrogen critical..."},{"publicationDate":"2013-07-31T00:00:00.000+00:00","metadataDate":"2026-03-09T17:31:50.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey"],"authorGivenName":["C.","P."],"authorFamilyName":["Neal","Shand"],"authorFullName":["Neal, C.","Shand, P."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"catalogue":"eidc","description":"This dataset provides the results of a water quality survey undertaken in mid-May 1985 of streams, springs and boreholes associated with the ophiolite rocks of the Troodos Massif in Cyprus.   Determinands measured include: Na, K, Ca, Mg, Cl, SO4, Sulphide, Si, Alk, pH, Al, Ba, B, Br, Cr, I, Li, Sr, Fe","documentType":"GEMINI_DOCUMENT","identifier":"e0588fab-be15-4948-a946-75ad469d7a63","incomingCitationCount":1,"givenName":["Colin","C.","P."],"familyName":["Neal","Shand"],"fullName":["Neal, C.","Shand, P."],"keyword":["Cyprus","Mediterranean","Troodos","Water quality","borehole","waters","Analytical chemistry","Hydrochemistry","ophiolite","serpentinisation","spring","stream","bromide","trace elements","hyperalkaline","boron","iodine","water quality"],"keywordsPlace":["Cyprus","Mediterranean","Troodos"],"keywordsTheme":["Water quality"],"keywordsOther":["borehole","waters","Analytical chemistry","Hydrochemistry","ophiolite","serpentinisation","spring","stream","bromide","trace elements","hyperalkaline","boron","iodine","water quality"],"licence":"Open government licence","lineage":"Streams, springs and borehole waters were sampled from 21 sites within the Troodos ophiolite area  in mid-May 1985. These sites represent the major waters of the area as assessed previously by the Geological Survey of Cyprus (Pantazis, 1978). The sites were chosen and samplings undertaken with the help of Evangelos Makredes of the Geological Survey of Cyprus and advice from some of his   colleagues. In the field, samples were filtered through 0.45 μM membrane filters and then stored for chemical analysis in glass and polypropylene bottles depending upon the type of analysis. pH was determined electrochemically in the field, using a combination electrode, at the time of sample  collection, with minimum contact of the water sample with the atmosphere (to avoid equilibration with atmospheric carbon dioxide). On immediate return from the field, alkalinity was determined by acidimetric titration to a pH of about 4.0 and was calculated using the method of Neal (1988); reduced sulphur was also determined using an ion selective electrode. In the case of alkalinity and reduced sulphur, the samples collected were stored in filled bottles and the analyses were undertaken rapidly: in the former case, this ensured minimal equilibration with atmospheric carbon dioxide; in the latter case, it minimised both hydrogen sulphide degassing and atmospheric oxygen contamination.\n\nSamples were returned to the UK for further chemical analysis (Neal et al., 1992 for information on analytical methodologies). This analysis comprised colorimetric methods for the major anions, bromide and total iodine (mainly iodide plus iodate). Analysis of the major cations, the trace metals and boron was undertaken by inductively coupled plasma optical emission spectroscopy. In the case of the metals, samples were stored in polypropylene bottles cleaned by pre-washing in 5% v/v analar grade hydrochloric acid followed by high purity water and the samples were preserved in 1% v/v high purity, aristar grade, nitric acid. For the anion determinations, samples were stored in high purity water-cleaned glass bottles prior to analysis.","locations":["POLYGON((32.273 34.563, 32.273 35.701, 34.597 35.701, 34.597 34.563, 32.273 34.563))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","British Geological Survey","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1368104040241","CEH:EIDC::1368104040241","https://catalogue.ceh.ac.uk/id/e0588fab-be15-4948-a946-75ad469d7a63"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"state":"published","title":"Spring and surface water quality of Cyprus ophiolites","topic":["0/Water quality/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","jgar"],"shortenedDescription":"This dataset provides the results of a water quality survey undertaken in mid-May 1985 of streams, springs and boreholes associated with the ophiolite rocks of the Troodos Massif in Cyprus.   Determinands measured include: Na, K, Ca, Mg, Cl, SO4, Sulphide, Si, Alk,..."},{"publicationDate":"2025-09-19T00:00:00.000+00:00","metadataDate":"2026-03-25T16:58:10.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute"],"authorGivenName":["L. J.","K.","G.","F.","D.E.L.","R.","B. V."],"authorFamilyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"authorFullName":["Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"authorOrcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"catalogue":"eidc","description":"This dataset is a ranked list of risks to Scotland from 196 Phytophthora species, including most of the approximately 240 formally described or provisionally named species in the genus globally. Arrival and establishment risks are scored and joined with information on surveillance of known hosts within inspected premises in Scotland (introduction risks). Potential impacts are scored using information on global Phytophthora-host interactions extracted from a global database of Phytophthora records to identify at risk hosts and score the level of threat to hosts and habitats within Scotland. The ranked list was developed to support prioritisation among future Phytophthora threats to Scotland. All risks were scored by the UKCEH project team, informed by a self-completion survey and two workshops with 15 stakeholders from across Scotland's plant health sector, including forestry, conservation, horticulture, and government agencies.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Scotland's Plant Health Centre","Department for Environment Food and Rural Affairs"],"grant":["NE/V019813/1","PHC2023/02","TH12224FR10"],"identifier":"72e8f817-01a6-42d2-b187-a5ebf43853a1","incomingCitationCount":1,"givenName":["L.","L. J.","K.","G.","F.","D.E.L.","R.","B. V."],"familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"keyword":["Environmental risk","Scotland","pathogenic organism","pest","risk assessment","exotic species","environmental impact","forestry","habitat","biodiversity"],"keywordsTheme":["Environmental risk"],"keywordsOther":["Scotland","pathogenic organism","pest","risk assessment","exotic species","environmental impact","forestry","habitat","biodiversity"],"licence":"Open government licence","lineage":"To develop a ranked list of threats to Scotland from Phytophthora species we joined predictions from new models of probability of arrival into the UK through trade (Barwell et al. 2025), and current climate suitability for establishment in 342 pixels (approximately 15x15 km grid) in Scotland (Green et al. 2024). These were integrated with information on Phytophthora distributions, host associations and interceptions extracted from a global database of Phytophthora records. Potential impacts on Scotland's priority plants and habitats were assessed through scoring the number of susceptible host genera on Scotland's Biodiversity List, and within NVC habitats and National Forest Estate Subcompartments in Scotland.  Each risk metric was scored from 0 (low risk) to 3 (high risk) and these scores were summed to produce an overall risk score for each Phytophthora species. Some species are missing scores for climate suitability in Scotland  (n=37) or UK arrival risk (n=89) due to the absence of data on source regions or thermal tolerance traits to inform the underlying models. \n\nThe final report (L. J. Barwell, G. Amankwaa, F. Asaaga, K. Turvey, D. E. L. Cooke, R. Mitchell, & B. V. Purse (2025). Improved preparedness for Phytophthora prevention in Scotland: Project Final Report. PHC2023/02. Scotland's Centre of Expertise for Plant Health (PHC). https://www.planthealthcentre.scot/projects/improved-preparedness-Phytophthora-prevention-scotland) was peer-reviewed by Scotland’s Plant Health Centre. Underlying models of pathogen-specific climate suitability have been evaluated against independent detection data in the UK and Europe where available. Arrival risk models integrating trade flows from source regions and pathogen traits explained up to 78% (61.8, 84.6) of variance in the probability of a new detections since 2005 across Phytophthora species globally. Interceptions and host associations were derived from a global cross-sectoral database compiling information from multiple data providers and sectors to capture the broadest picture possible of Phytophthora host use and prevalence. Where possible, pathologists validated the records and rankings against their knowledge of pathogen behaviour. \n\nHowever, users of the list should be mindful that not all Phytophthora species are  included in the ranking presented here due to lack of knowledge on their distributions and hosts, and that a considerable proportion of global Phytophthora diversity may be unknown to science. Some of the most impactful Phytophthora species were only described after their emergence in regions that were likely outside of their native range and with unknown source regions. Moreover, quantitative metrics capturing the severity of interactions (e.g. pathogenicity) between Phytophthora species and their hosts are only available for a fraction of the host-pathogen interactions captured in our data and are not considered within the qualitative ranking presented here.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/72e8f817-01a6-42d2-b187-a5ebf43853a1","10.5285/72e8f817-01a6-42d2-b187-a5ebf43853a1","doi::10.5285/72e8f817-01a6-42d2-b187-a5ebf43853a1"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Final report"],"supplementalName":["L. J. Barwell, G. Amankwaa, F. Asaaga, K. Turvey, D. E. L. Cooke, R. Mitchell, & B. V. Purse (2025)."],"title":"Ranked current and anticipated threats to Scotland from global Phytophthora species","topic":["0/Environmental risk/"],"version":1.0,"dataFormat":["TIFF"],"view":["public","tinzha"],"shortenedDescription":"This dataset is a ranked list of risks to Scotland from 196 Phytophthora species, including most of the approximately 240 formally described or provisionally named species in the genus globally. Arrival and establishment risks are scored and joined with information..."},{"publicationDate":"2018-08-15T00:00:00.000+00:00","metadataDate":"2026-04-14T10:31:50.000+00:00","authorAffiliation":["Loughborough University"],"authorGivenName":["A.D.","D.B","N.J."],"authorFamilyName":["Radbourne","Ryves","Anderson"],"authorFullName":["Radbourne, A.D.","Ryves, D.B.","Anderson, N.J."],"authorOrcid":["https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-0037-0306"],"authorRor":["https://ror.org/04vg4w365"],"catalogue":"eidc","description":"This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and diatom assemblages. The sediment trap data cover the period from October 2004 to January 2017, while the thermal profiles cover October 2005 to December 2016. Diatom data is presented with date, percentage taxa abundance and diatom fluxes based on total sediment yield. Temperature profiles are presented as mean daily figures. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with the temperature data funded by the UKLEON (UK Lake Ecological Observatory Network) project via a NERC small grant [grant number NE/I007261/1].","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L002493/1"],"identifier":"16f52064-a19d-4cf5-a388-aff04a592179","incomingCitationCount":0,"givenName":["Alan","A.D.","D.B","N.J."],"familyName":["Radbourne","Ryves","Anderson"],"fullName":["Radbourne, A.","Radbourne, A.D.","Ryves, D.B.","Anderson, N.J."],"keyword":["Rostherne Mere","Stephanodiscus parvus","Sediment traps","diatom","stratification","water temperature","UKLEON","UK Lake Ecological Observatory Network","relative resistance to thermal mixing","RTRM"],"keywordsPlace":["Rostherne Mere"],"keywordsOther":["Stephanodiscus parvus","Sediment traps","diatom","stratification","water temperature","UKLEON","UK Lake Ecological Observatory Network","relative resistance to thermal mixing","RTRM"],"licence":"Open government licence","lineage":"Sediment trapping using open traps and sequencing traps was carried out at Rostherne Mere from January 2004 to January 2017. Traps were deployed in a central lake location at 10 m and 25 m water depths, sequentially opening into 12 individual 250 ml HDPE bottles, each representing a ~2 week collection period (in January and February longer collection periods of 3-4 weeks were used). The traps were reset every ~6 months as dictated by the trapping interval used, with trap sediment kept cool, dark and sealed during transport to the laboratory where it was stored frozen prior to analysis. All trap samples were freeze-dried prior to analysis and weighed for total trap sample dry sediment flux. ","locations":["POLYGON((-2.397 53.346, -2.397 53.36, -2.369 53.36, -2.369 53.346, -2.397 53.346))"],"orcid":["https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-0037-0306"],"organisation":["Loughborough University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/16f52064-a19d-4cf5-a388-aff04a592179","10.5285/16f52064-a19d-4cf5-a388-aff04a592179","doi::10.5285/16f52064-a19d-4cf5-a388-aff04a592179"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"state":"published","title":"Sediment trap diatom assemblages from Rostherne Mere, Cheshire, UK (2004-2017)","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","jgar"],"shortenedDescription":"This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and..."},{"publicationDate":"2024-08-08T00:00:00.000+00:00","metadataDate":"2026-03-25T16:52:14.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorGivenName":["P.E.","E.J.","C.","A.","R.I.","M.","J.","S.J.","Y.S.","J.R.","D.S."],"authorFamilyName":["Levy","Carnell","Martin Hernandez","Vigier","Smith","Vieno","Scheffler","Tomlinson","Tang","Stedman","Leaver","Caporusso"],"authorFullName":["Levy, P.E.","Carnell, E.J.","Martin Hernandez, C.","Vigier, A.","Smith, R.I.","Vieno, M.","Scheffler, J.","Tomlinson, S.J.","Tang, Y.S.","Stedman, J.R.","Leaver, D.S.","Caporusso, C."],"authorOrcid":["https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0009-0003-9594-0299","https://orcid.org/0000-0001-6798-409X","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2020 to 2022. \n\nThe data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. \n\nHabitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (DEFRA) contracts.\n","documentType":"GEMINI_DOCUMENT","funder":["Department for Environment Food and Rural Affairs"],"identifier":"d356bddc-fd06-466a-a206-639711bba7f2","incomingCitationCount":0,"givenName":["P.E.","E.J.","C.","A.","R.I.","M.","J.","S.J.","Y.S.","J.R.","D.S.","Claudia"],"familyName":["Levy","Carnell","Martin Hernandez","Vigier","Smith","Vieno","Scheffler","Tomlinson","Tang","Stedman","Leaver","Caporusso"],"fullName":["Levy, P.E.","Carnell, E.J.","Martin Hernandez, C.","Vigier, A.","Smith, R.I.","Vieno, M.","Scheffler, J.","Tomlinson, S.J.","Tang, Y.S.","Stedman, J.R.","Leaver, D.S.","Caporusso, C."],"keyword":["Climate and climate change","nitrogen","deposition","sulphur"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["nitrogen","deposition","sulphur"],"licence":"Open government licence","lineage":"The Concentration Based Estimated Deposition (CBED) methodology generates maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network. The site-based measurements are first interpolated to generate maps of concentrations for the UK. The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition. Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban. The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the grid square, to generate values for grid square averaged deposition. Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation. For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats. \n\nData processing was done using the R programme and results output as CSV files. These were then transformed in a suitable format for ingestion into the Environmental Information Data Centre.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0009-0003-9594-0299","https://orcid.org/0000-0001-6798-409X","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596"],"organisation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC EDS Environmental Information Data Centre","DEFRA"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d356bddc-fd06-466a-a206-639711bba7f2","10.5285/d356bddc-fd06-466a-a206-639711bba7f2","doi::10.5285/d356bddc-fd06-466a-a206-639711bba7f2"],"availability":"Available","resourceType":"Dataset","rightsHolder":["DEFRA"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00tnppw48"],"state":"published","title":"Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK, 2020-22","topic":["0/Climate and climate change/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clwe"],"shortenedDescription":"This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2020 to 2022. \n\nThe data consist of deposition values for sulphur, oxidised..."},{"publicationDate":"2016-10-10T00:00:00.000+00:00","metadataDate":"2026-04-29T08:03:14.000+00:00","authorAffiliation":["University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)"],"authorGivenName":["P.","C.","L.M.","N."],"authorFamilyName":["Zelazowski","Huntingford","Mercado","Schaller"],"authorFullName":["Zelazowski, P.","Huntingford, C.","Mercado, L.M.","Schaller, N."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770"],"authorRor":["https://ror.org/039bjqg32","https://ror.org/00pggkr55","https://ror.org/03yghzc09"],"catalogue":"eidc","description":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). \n\nThe 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1.\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble.  ","documentType":"GEMINI_DOCUMENT","identifier":"4e8f3459-4101-4c85-a598-80b3c739f580","incomingCitationCount":0,"givenName":["Chris","P.","C.","L.M.","N."],"familyName":["Huntingford","Zelazowski","Mercado","Schaller"],"fullName":["Huntingford, C.","Zelazowski, P.","Mercado, L.M.","Schaller, N."],"keyword":["Modelling","Climate and climate change","Global Circulation Model (GCM)","Global climate-carbon cycle model","Future climate projections","Energy Balance Model (EBM)","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["Global Circulation Model (GCM)","Global climate-carbon cycle model","Future climate projections","Energy Balance Model (EBM)","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)"],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land.\n\nThis calibration is a \"beta\" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a \"beta\" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building. \n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-5941-7770"],"organisation":["UK Centre for Ecology & Hydrology","University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580","10.5285/4e8f3459-4101-4c85-a598-80b3c739f580","doi::10.5285/4e8f3459-4101-4c85-a598-80b3c739f580"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/039bjqg32","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","title":"GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving  the IMOGEN impacts model","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"dataFormat":["ASCII"],"view":["public","nuri"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological..."},{"publicationDate":"2023-08-31T00:00:00.000+00:00","metadataDate":"2026-03-26T13:41:48.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["E.B.","M.","H.","G.","S."],"authorFamilyName":["Mackay","Clarke","Feuchtmayr","Rhodes","Maberly"],"authorFullName":["Mackay, E.B.","Clarke, M.","Feuchtmayr, H.","Rhodes, G.","Maberly, S."],"authorOrcid":["https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The dataset contains spectrophotometrically measured chlorophyll absorbance data from lake and river samples incubated with different nitrogen, phosphorus, silica or combined nutrients, as bioassays, either ex situ for phytoplankton or in situ for periphyton. These data were collected from sites in the English Lake District, Norfolk Broads and Greater Glasgow area in 2017 and 2018 as part of the NERC funded Freshwater Highlight Topic 'Hydroscape'.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/N00597X/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N006453/1"],"identifier":"2ea22f99-242c-4524-a5dc-3067a5f97a72","incomingCitationCount":0,"givenName":["E.B.","M.","H.","G.","S."],"familyName":["Mackay","Clarke","Feuchtmayr","Rhodes","Maberly"],"fullName":["Mackay, E.B.","Clarke, M.","Feuchtmayr, H.","Rhodes, G.","Maberly, S."],"keyword":["Bassenthwaite Lake","Derwent water","Rydal Water","Grasmere","Esthwaite water","Easedale Tarn","Codale Tarn","Bishop Loch","Castle Semple Loch","Woodend Loch","Strathclyde Loch","Loch Libo","Decoy Broad","Malthouse Broad","Ranworth Broad","Wroxham Broad","bioassay","phytoplankton","periphyton","river","lake","chlorophyll"],"keywordsPlace":["Bassenthwaite Lake","Derwent water","Rydal Water","Grasmere","Esthwaite water","Easedale Tarn","Codale Tarn","Bishop Loch","Castle Semple Loch","Woodend Loch","Strathclyde Loch","Loch Libo","Decoy Broad","Malthouse Broad","Ranworth Broad","Wroxham Broad"],"keywordsOther":["bioassay","phytoplankton","periphyton","river","lake","chlorophyll"],"licence":"Open government licence","lineage":"Surface dip water samples were collected at the deepest point, lake edge, or ~1 m from the river bank. Periphyton sample filters were obtained from nutrient diffusing periphytometers that were deployed in the streams for two weeks. After two weeks these filters were retrieved and frozen at -20°C on return from the field. \n\nPhytoplankton bioassays were initially filtered through a 100 µm mesh, 3x35 ml of filtered water treatments were spiked with the different nutrient additions. Tubes were then incubated for 14 days at 20°C. Following the incubation period, the contents of the tubes were resuspended and filtered onto Whatman GF/C filters and frozen at -20°C.\n\nFilters in all cases were defrosted and extracted in 7.36 ml hot methanol, with absorbance readings obtained from a Hitachi U2800 UV/Visible spectrophotometer using a 5cm cuvette.\n\nData were entered into a spreadsheet and manually checked for transcription errors. Data from all experiments were collated into a single file for data archiving purposes.\n\n","locations":["POLYGON((-7.427 49.864, -7.427 58.882, 1.768 58.882, 1.768 49.864, -7.427 49.864))"],"orcid":["https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ea22f99-242c-4524-a5dc-3067a5f97a72","10.5285/2ea22f99-242c-4524-a5dc-3067a5f97a72","doi::10.5285/2ea22f99-242c-4524-a5dc-3067a5f97a72"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Chlorophyll absorbance data from lake and river samples incubated with different nutrient combinations in the English Lake District, Norfolk Broads and Greater Glasgow, 2017-2018","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","margla"],"shortenedDescription":"The dataset contains spectrophotometrically measured chlorophyll absorbance data from lake and river samples incubated with different nitrogen, phosphorus, silica or combined nutrients, as bioassays, either ex situ for phytoplankton or in situ for periphyton. These..."},{"publicationDate":"2016-05-18T00:00:00.000+00:00","metadataDate":"2026-03-09T17:29:32.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["A.R."],"authorFamilyName":["House"],"authorFullName":["House, A.R."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains channel cross-sections for the River Lambourn and Westbrook Channel at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory at Boxford, Berkshire. The CEH River Lambourn Observatory located in the county of Berkshire, UK (51.445o N 1.384o W) comprises a 600 m reach of the River Lambourn with 10 hectares of associated riparian wetland. The Westbrook Channel divides the wetland into northern and southern meadows. Channel cross-section surveys were conducted using Trimble R8TM dGPS for the Westbrook Channel in May 2013 and the River Lambourn in November 2013.","documentType":"GEMINI_DOCUMENT","identifier":"e918198d-42e1-48e6-85ba-3916e20a6658","incomingCitationCount":0,"givenName":["Gareth","A.R."],"familyName":["Old","House"],"fullName":["Old, G.","House, A.R."],"keyword":["Hydrology","river"],"keywordsTheme":["Hydrology"],"keywordsOther":["river"],"licence":"Open government licence","lineage":"Channel cross-section surveys were conducted using Trimble R8TM dGPS for the Westbrook in May 2013 and the River Lambourn in November 2013. Cross-sections were surveyed at 44 locations along the Westbrook and 42 along the River Lambourn. Locations were restricted in access and line of sight by dense vegetation. For the purposes of this study, bankfull stage was observed as an abrupt change in slope, dominant bench level and, if applicable, the lower limit of riparian vegetation.","locations":["POLYGON((-1.385 51.442, -1.385 51.447, -1.38 51.447, -1.38 51.442, -1.385 51.442))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e918198d-42e1-48e6-85ba-3916e20a6658","10.5285/e918198d-42e1-48e6-85ba-3916e20a6658","doi::10.5285/e918198d-42e1-48e6-85ba-3916e20a6658"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Channel cross-sections for the CEH River Lambourn Observatory at Boxford","topic":["0/Hydrology/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","weig"],"shortenedDescription":"This dataset contains channel cross-sections for the River Lambourn and Westbrook Channel at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory at Boxford, Berkshire. The CEH River Lambourn Observatory located in the county of Berkshire, UK (51.445o..."},{"publicationDate":"2018-10-29T00:00:00.000+00:00","metadataDate":"2026-04-14T10:27:33.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Ulster Wildlife Trust"],"authorGivenName":["S.","A."],"authorFamilyName":["Tang","Stephens","Crory"],"authorFullName":["Tang, S.","Stephens, A.","Crory, A."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.","documentType":"GEMINI_DOCUMENT","identifier":"245f0abf-b7fd-4573-9dde-d6eee4d006a7","incomingCitationCount":0,"givenName":["Amy","S.","A."],"familyName":["Stephens","Tang","Crory"],"fullName":["Stephens, A.","Tang, S.","Crory, A."],"keyword":["ALPHA sampler","ammonia","Pollution"],"keywordsInstrument":["ALPHA sampler","ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Local site operator duties are completed by Ulster Wildlife Trust (UWT) and analysis and plotting of results is completed by the Centre for Ecology & Hydrology, Edinburgh. Samplers are exposed in monthly cycles at the beginning of each month. ","locations":["POLYGON((-6.692 54.816, -6.692 54.833, -6.643 54.833, -6.643 54.816, -6.692 54.816))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Ulster Wildlife Trust","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/245f0abf-b7fd-4573-9dde-d6eee4d006a7","10.5285/245f0abf-b7fd-4573-9dde-d6eee4d006a7","doi::10.5285/245f0abf-b7fd-4573-9dde-d6eee4d006a7"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Ammonia measurements from passive samplers at Ballynahone Bog field site (2014-2017)","topic":["0/Pollution/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","leav"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar..."},{"publicationDate":"2021-08-31T00:00:00.000+00:00","metadataDate":"2026-04-22T13:52:55.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorGivenName":["A.","W.","K.","S."],"authorFamilyName":["Perry","Wachowiak","Donnelly","Cavers"],"authorFullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K012177/1"],"identifier":"55118e26-cf5c-41d6-9157-738fce6bdddf","incomingCitationCount":0,"givenName":["A.","W.","K.","S."],"familyName":["Perry","Wachowiak","Donnelly","Cavers"],"fullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"keyword":["Phenology","budburst","height","SNP array","genotypes","Scots pine"],"keywordsTheme":["Phenology"],"keywordsOther":["budburst","height","SNP array","genotypes","Scots pine"],"licence":"Open government licence","lineage":"A common garden glasshouse trial was established in 2010 using seed from natural populations from three species of pine: Pinus sylvestris (SY), Pinus mugo (MU), Pinus uncinata (UN). Open-pollinated seeds were collected from three to five trees per population from twenty-eight natural populations in Europe covering the geographic range of each species. The collection consisted of thirteen populations of SY, nine MU, and six UN. The trial was divided into 25 randomized blocks with up to five families per population, of which the first 18 blocks were analysed by Wachowiak et al. (2018a).\n\nPhenotypes (height, bud set and budburst) were assessed in the glasshouse during spring (budburst), autumn (bud set) and winter (height) between 2010 and 2013. \n\nA subset of trees were selected to be genotyped using a multi-species SNP array. Trees were genotyped using a multi-species SNP array (Perry et al., 2020). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1 % agarose gel.\n\nGenotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC ‘high’ ≥ 0.82; DQC ‘low’ < 0.82; CR ‘high’ ≥ 96; CR ‘low’ < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-3.358 55.877, -3.358 56.003, -3.013 56.003, -3.013 55.877, -3.358 55.877))"],"orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55118e26-cf5c-41d6-9157-738fce6bdddf","10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf","doi::10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse","topic":["0/Phenology/"],"version":1.0,"dataFormat":["Plain text"],"view":["public","margla"],"shortenedDescription":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013."},{"publicationDate":"2022-03-15T00:00:00.000+00:00","metadataDate":"2026-05-01T14:41:19.000+00:00","authorAffiliation":["University of Aberdeen","Botswana International University of Science and Technology","International Water Management Institute","Botswana Department of Water and Sanitation"],"authorGivenName":["J.-C.","F.","K.","J.","A."],"authorFamilyName":["Comte","Franchi","Villholth","Geris","Petros"],"authorFullName":["Comte, J.-.","Franchi, F.","Villholth, K.","Geris, J.","Petros, A."],"authorOrcid":["https://orcid.org/0000-0002-5129-8391"],"authorRor":["https://ror.org/016476m91"],"catalogue":"eidc","description":"The dataset contains a scaled, semi-quantitative conceptual hydrogeological model of the Gaborone catchment along a general WSW-ENE direction including; (1) the geographic coordinates of the extremities of each segment of the polyline transect; (2) the raster, scaled image of the conceptual hydrogeological cross-section.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R002568/1"],"identifier":"4731c4da-91fc-4762-9c17-74c8749d4227","incomingCitationCount":0,"givenName":["J.-C.","F.","K.","J.","A."],"familyName":["Comte","Franchi","Villholth","Geris","Petros"],"fullName":["Comte, J.-.","Franchi, F.","Villholth, K.","Geris, J.","Petros, A."],"keyword":["Botswana","Hydrology","Conceptual hydrogeological model","Cross-section","Topography","Borehole","Groundwater-surface water relationships","water table","groundwater","geology"],"keywordsPlace":["Botswana"],"keywordsTheme":["Hydrology"],"keywordsOther":["Conceptual hydrogeological model","Cross-section","Topography","Borehole","Groundwater-surface water relationships","water table","groundwater","geology"],"licence":"Open government licence","lineage":"The conceptual hydrogeological cross-section was generated from publicly available, primary datasets, including geological maps, hydrogeological maps, and hydrological datasets, using the following workflow:\n•\tWith Google Earth: (1) polyline transect selection; (2) extraction of the geographic coordinates of the extremities of each segment of the polyline transect; (3) topography extraction along the full polyline transect; \n•\tWith both Google Earth and Inkscape: (4) delineation of geological unit boundaries and regional faults at the surface; (5) extension of geological units and faults at depth; (6) location of surface water bodies; i.e. streams, reservoirs and dams; (7) projection of monitoring boreholes and delineation of water table;\n•\tWith Inkscape: (8) water table interpolation across the cross-section; (9) interpretation and drawing of groundwater flow directions; (10) interpretation drawing of surface run-off, groundwater recharge, and groundwater-surface water interaction processes; and (11) raster image export at 600 dpi.","locations":["POLYGON((25.25 -25.296, 25.25 -24.677, 25.981 -24.677, 25.981 -25.296, 25.25 -25.296))"],"orcid":["https://orcid.org/0000-0002-5129-8391"],"organisation":["University of Aberdeen","Botswana International University of Science and Technology","International Water Management Institute","Botswana Department of Water and Sanitation","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4731c4da-91fc-4762-9c17-74c8749d4227","10.5285/4731c4da-91fc-4762-9c17-74c8749d4227","doi::10.5285/4731c4da-91fc-4762-9c17-74c8749d4227"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"state":"published","title":"Conceptual hydrogeological cross-section across the Gaborone catchment from Kanye area to Gaborone city, Botswana","topic":["0/Hydrology/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)","Portable Network Graphics (png)"],"view":["public","matnic"],"shortenedDescription":"The dataset contains a scaled, semi-quantitative conceptual hydrogeological model of the Gaborone catchment along a general WSW-ENE direction including; (1) the geographic coordinates of the extremities of each segment of the polyline transect; (2) the raster, scaled..."},{"publicationDate":"2021-10-11T00:00:00.000+00:00","metadataDate":"2026-03-26T13:38:12.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute"],"authorGivenName":["A.","C.","D.","J. O.","J. G.","E. M.","J.","S."],"authorFamilyName":["Gray","Adienge","Magare","Odee","Perry","Otieno","Kihara","Tendwa","Kariuki","Cavers"],"authorFullName":["Gray, A.","Adienge, A.","Magare, C.","Odee, D.","Perry, A.","Otieno, J.O.","Kihara, J.G.","Tendwa, E.M.","Kariuki, J.","Cavers, S."],"authorOrcid":["https://orcid.org/0000-0002-6785-0590"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05hz2w230"],"catalogue":"eidc","description":"This dataset is the first phenological trait data for Moringa oleifera and M. stenopetala trees from provenances collected in Kenya and planted at Ramogi. Trees were measured and scored for survival, height, diameter at breast height, fruiting and damage by three field surveyors.","documentType":"GEMINI_DOCUMENT","identifier":"668f9f95-f367-4600-b93a-ffc24b67ce7f","incomingCitationCount":0,"givenName":["A.","C.","D.","J. O.","J. G.","E. M.","J.","S."],"familyName":["Gray","Adienge","Magare","Odee","Perry","Otieno","Kihara","Tendwa","Kariuki","Cavers"],"fullName":["Gray, A.","Adienge, A.","Magare, C.","Odee, D.","Perry, A.","Otieno, J.O.","Kihara, J.G.","Tendwa, E.M.","Kariuki, J.","Cavers, S."],"keyword":["Phenology","Plant Traits","Tree Improvement","Moringa oleifera","Horseradish Tree","Sub-Saharan Africa","agroforestry","tree","Moringa stenopetala"],"keywordsTheme":["Phenology"],"keywordsOther":["Plant Traits","Tree Improvement","Moringa oleifera","Horseradish Tree","Sub-Saharan Africa","agroforestry","tree","Moringa stenopetala"],"licence":"Open government licence","lineage":"Data were recorded in the field using measuring tapes and direct observation. Subjective measures (percent damage) were assessed by consensus of surveyors in the field.","locations":["POLYGON((34.946 -0.36, 34.946 -0.338, 35.013 -0.338, 35.013 -0.36, 34.946 -0.36))"],"orcid":["https://orcid.org/0000-0002-6785-0590"],"organisation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/668f9f95-f367-4600-b93a-ffc24b67ce7f","10.5285/668f9f95-f367-4600-b93a-ffc24b67ce7f","doi::10.5285/668f9f95-f367-4600-b93a-ffc24b67ce7f"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05hz2w230","https://ror.org/04xw4m193"],"state":"published","title":"Phenological trait data for Moringa oleifera Lam. from Kenya 2020","topic":["0/Phenology/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","matnic"],"shortenedDescription":"This dataset is the first phenological trait data for Moringa oleifera and M. stenopetala trees from provenances collected in Kenya and planted at Ramogi. Trees were measured and scored for survival, height, diameter at breast height, fruiting and damage by three field..."},{"publicationDate":"2013-04-19T00:00:00.000+00:00","metadataDate":"2026-03-26T13:37:30.000+00:00","catalogue":"eidc","description":"This dataset consists of information regarding the abundance of fish species from Windermere, and includes long-term data on Arctic Charr (Salvelinus alpinus), Pike (Esox lucius), Perch (Perca fluviatilis) and some recent data on Roach (Rutilus rutilus) from net and trap sampling, together with data on total fish abundance from hydroacoustics. Data collection began in 1940. With the exception of the hydroacoustics, the data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. The hydroacoustics data have been collected by CEH/IFE since 1990. The data available to download originate from Windermere North and South Basins and are given as yearly averages.","documentType":"GEMINI_DOCUMENT","identifier":"f3f3ba40-c655-4740-b9b4-ce77ab286fb0","incomingCitationCount":0,"givenName":["Ian"],"familyName":["Winfield"],"fullName":["Winfield, I."],"keyword":["Cumbria","Lake District","Windermere","Biodiversity","Salvelinus alpinus","Esox lucius","Perca fluviatilis","Rutilus rutilus"],"keywordsPlace":["Cumbria","Lake District","Windermere"],"keywordsTheme":["Biodiversity"],"keywordsOther":["Salvelinus alpinus","Esox lucius","Perca fluviatilis","Rutilus rutilus"],"licence":"Non-Open government licence","lineage":"The catch per unit effort data were initially collected by the Freshwater Biological Association but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Some of the data date back to 1940. The hydroacoustic data has been collected by CEH/IFE since 1990. For further information, refer to the supporting documentation. ","locations":["POLYGON((-2.99 54.26, -2.99 54.44, -2.91 54.44, -2.91 54.26, -2.99 54.26))"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1361456406600","CEH:EIDC::1361456406600","https://catalogue.ceh.ac.uk/id/f3f3ba40-c655-4740-b9b4-ce77ab286fb0"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Windermere fish abundance 1940-2012","topic":["0/Biodiversity/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clamw"],"shortenedDescription":"This dataset consists of information regarding the abundance of fish species from Windermere, and includes long-term data on Arctic Charr (Salvelinus alpinus), Pike (Esox lucius), Perch (Perca fluviatilis) and some recent data on Roach (Rutilus rutilus) from net and..."},{"publicationDate":"2022-10-11T00:00:00.000+00:00","metadataDate":"2026-04-14T10:26:20.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.\n\nThe 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2017 products are available from the LCM2017 product documentation.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"be0bdc0e-bc2e-4f1d-b524-2c02798dd893","incomingCitationCount":0,"givenName":["R.D.","C.G.","A.W.","C.S."],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Great Britain","Land cover","Mapping","Biodiversity Action Plan","UK-SCAPE","habitat","land cover"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["Biodiversity Action Plan","UK-SCAPE","habitat","land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2017 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 1km percentage and dominant products are created by calculating the percentage cover for each land cover classes for every 1km x 1km pixel, then reporting the dominant land cover class with the highest percentage cover for each 1km pixel.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/be0bdc0e-bc2e-4f1d-b524-2c02798dd893","10.5285/be0bdc0e-bc2e-4f1d-b524-2c02798dd893","doi::10.5285/be0bdc0e-bc2e-4f1d-b524-2c02798dd893"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2017 (1km summary rasters, GB and N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"dataFormat":["TIFF"],"view":["public","matnic"],"shortenedDescription":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action..."},{"publicationDate":"2020-07-17T00:00:00.000+00:00","metadataDate":"2026-03-26T13:34:16.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation"],"authorGivenName":["M.","T.","C.","I.","D.B."],"authorFamilyName":["Botham","Brereton","Harrower","Middlebrook","Roy"],"authorFullName":["Botham, M.","Brereton, T.","Harrower, C.","Middlebrook, I.","Roy, D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see.\n\nSite indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK.\n\nSite indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"180a1c76-bceb-4264-872b-deddfe67b3de","incomingCitationCount":1,"givenName":["M.","T.","C.","I.","D.B.","Marc"],"familyName":["Botham","Brereton","Harrower","Middlebrook","Roy"],"fullName":["Botham, M.","Brereton, T.","Harrower, C.","Middlebrook, I.","Roy, D.B."],"keyword":["Biodiversity","UK-SCAPE","Monitoring and Observation Systems"],"keywordsTheme":["Biodiversity"],"keywordsOther":["UK-SCAPE","Monitoring and Observation Systems"],"licence":"Open government licence","lineage":"Automatic checks are applied when data are entered into the Transect Walker program to alert recorders to potential data entry errors, e.g. abnormally high counts of a species or a record of species outside of its recognised flight period. The recorder is given the option to proceed with the record or to alter it appropriately. Each site data belongs to a region for which a transect coordinator is responsible. The regional coordinator has good knowledge of the sites they receive records for and checks the records for any questionable records. Data entered online is also checked by the regional transect coordinators and can be done so continuously throughout the season. Following these preliminary validation checks, the data undergoes a series of further automated and manual validation procedures including queries to check for records of species that are: recorded out of their known distribution range (using data from Butterfly Conservation's Butterflies for the New Millennium (BNM) and existing UKBMS data), recorded out of their normal flight period, recorded for the first time at a site, have extreme abundances or abundances that are markedly different to normal for a given site at a given time of year.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/180a1c76-bceb-4264-872b-deddfe67b3de","10.5285/180a1c76-bceb-4264-872b-deddfe67b3de","doi::10.5285/180a1c76-bceb-4264-872b-deddfe67b3de"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: site indices 2019","topic":["0/Biodiversity/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","margla"],"shortenedDescription":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely..."},{"publicationDate":"2002-01-01T00:00:00.000+00:00","metadataDate":"2026-05-01T14:30:59.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["R.M.","G.M","J.M.","R.A.","A.G","R","N.J","R.T","P.","F.F."],"authorFamilyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","identifier":"f6fc7bd4-6525-4850-b832-24b6c05b8074","incomingCitationCount":0,"givenName":["R.M.","G.M","J.M.","R.A.","A.G","R","N.J","R.T","P.","F.F."],"familyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"fullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"keyword":["Northern Ireland","Habitats","Natural Capital"],"keywordsPlace":["Northern Ireland"],"keywordsOther":["Habitats","Natural Capital"],"licence":"Non-Open government licence","lineage":"In a major development of earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. 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