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The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future.\n\nThe map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. 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NE/S012427/1) .","documentType":"GEMINI_DOCUMENT","familyName":["Xu","Renaud","Barrett"],"fullName":["Xu, J.","Renaud, F.G.","Barrett, B."],"funder":["Natural Environment Research Council"],"givenName":["J.","F.G.","B.","Jiren"],"grant":["NE/S012427/1"],"identifier":"a94640dc-fe21-4c38-936b-d62dfca0c952","incomingCitationCount":0,"keyword":["China","Towards a Sustainable Earth (TaSE)","Land use","Cropland","CLUMondo","Luanhe River Basin","cropland management","grassland","urban area","forest","land use","land cover"],"keywordsOther":["Cropland","CLUMondo","Luanhe River Basin","cropland management","grassland","urban area","forest","land use","land cover"],"keywordsPlace":["China"],"keywordsProject":["Towards a Sustainable Earth (TaSE)"],"keywordsTheme":["Land use"],"licence":"Open government licence","lineage":"The map was developed based on three steps:\nFirst, land systems of the Luanhe River Basin (LRB) in the years 2000 and 2015 were mapped by integrating different datasets related to human-environment attributes. Then, the relationship between the land systems and local explanatory factors was calculated for the initial year (2000). \nSecond, the CLUMondo model was parameterised and calibrated based on the 2015 land systems map.\nFinally, changes in the land systems from 2015 to 2030 were simulated under different scenarios, including alternative sets of demands for commodities and services and represented different pathways on managing LRB’s land resources.","locations":["POLYGON((115 39, 115 42, 119 42, 119 39, 115 39))"],"metadataDate":"2026-06-29T18:16:11.000Z","orcid":["https://orcid.org/0000-0003-2949-5353","https://orcid.org/0000-0002-0830-1196","https://orcid.org/0000-0002-4380-4020"],"organisation":["School of Interdisciplinary Studies, University of Glasgow","School of Geographical & Earth Sciences, University of Glasgow","NERC EDS Environmental Information Data Centre","University of Glasgow"],"publicationDate":"2021-07-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a94640dc-fe21-4c38-936b-d62dfca0c952","10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952","doi:10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and…","state":"published","title":" Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model","topic":["0/Land use/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["LTLS","Analysing and simulating long-term and large-scale interactions of carbon nitrogen and phosphorus in UK land, freshwater and atmosphere","NERC Macronutrients Cycles Programme"],"availability":"Unknown","catalogue":"eidc","description":"Data made available from the Long Term Large Scale (LTLS) project include: Soil survey in England, Scotland and Wales carried out during 2013 and 2014, Survey of bracken biomass, soil chemistry and other environmental factors in Snowdonia and the Lake District in 2014 , Peat survey in England, Scotland and Wales carried out during 2014 [LTLS], Denitrification and greenhouse gas emissions in natural and semi-natural terrestrial ecosystems [LTLS] and Nitrogen and Carbon isotope data from 210Pb dated lake sediment cores in the United Kingdom.\n\nThe LTLS project is part of the NERC Macronutrients Cycles Programme and was funded by NERC and the Scottish Government.","documentType":"GEMINI_DOCUMENT","identifier":"503cc324-6bb1-4f23-9e55-d8358ff77156","incomingCitationCount":0,"keyword":["Environmental survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648393 49.86382, -8.648393 60.86099, 1.7675489999999998 60.86099, 1.7675489999999998 49.86382, -8.648393 49.86382))"],"metadataDate":"2026-03-02T09:43:07.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-03-09T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/503cc324-6bb1-4f23-9e55-d8358ff77156"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data made available from the Long Term Large Scale (LTLS) project include: Soil survey in England, Scotland and Wales carried out during 2013 and 2014, Survey of bracken biomass, soil chemistry and other environmental factors in Snowdonia and the Lake District in 2014…","state":"published","supplementalName":["LTLS website"],"title":"The Long Term Large Scale Project [LTLS]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Newcastle","University of Stirling"],"authorFamilyName":["Pattison","Quilliam","Oliver","Willby"],"authorFullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"authorGivenName":["Z.","R.S.","D.","N.J."],"authorOrcid":["https://orcid.org/0000-0002-5243-0876","https://orcid.org/0000-0001-7020-4410","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0002-1020-0933"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts: \n -  Greater Glasgow conurbation, Scotland\n -  Cumbria, NW England\n -  Norfolk, E England.\n\nLakes were sampled once in each of three seasons (spring, summer and autumn) in either 2016 (Norfolk) or 2017 (Cumbria and Greater Glasgow) with faecal indicators being quantified at three discrete sampling stations in each lake (>50m apart) and at three points at each station (i.e. nine samples per lake per sampling date).  Faecal indicators were quantified based on standard dilution, membrane filtration and incubation, followed by colony counting.\n\nThe data were collected to investigate the fine scale connectivity between Faecal Indicator Organisms (FIO) densities within water bodies and diffuse and point source inputs from the adjacent catchment and from biological vectors. They also provide an indication of the relative sources of variation in reported concentrations that is relevant for environmental regulatory purposes.\n\nThe work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats).","documentType":"GEMINI_DOCUMENT","familyName":["Pattison","Quilliam","Oliver","Willby"],"fullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"funder":["Natural Environment Research Council"],"givenName":["Z.","R.S.","D.","N.J."],"grant":["NE/N006437/1"],"identifier":"5f988cd4-479d-4e35-8835-42f80ebc1698","incomingCitationCount":0,"keyword":["Water quality","Connectivity","spatial variation","faecal indicators","Human health","microbiology","water quality","human health","Rural-urban"],"keywordsOther":["Connectivity","spatial variation","faecal indicators","Human health","microbiology","water quality","human health","Rural-urban"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Sub-surface water samples obtained from multiple discrete points within 18 water bodies in each of three lake districts via wading and shore-based sampling.\n\nStandard water body characteristics (area, elevation, perimeter etc) are available from the UK Lakes Portal (https://uklakes.ceh.ac.uk/).\n\nWater samples for microbial analysis were stored at 4 degrees C and processed within six hours of collection. 100ml samples at three dilutions were filtered through 0.45-um membrane filters, placed onto the surface of Membrane Lactose Glucoronide Agar (MLGA agar). Plates were incubated at 37 degrees C and counted after 24 hours. Counts are reported as number of Colony Forming Units (CFU) per 100 ml water.\n\nData limitations: spatial sampling points within each water body were established with a handheld GPS with typical accuracy of +/- 3-5m. Concentrations of Faecal Indicator Organisms (FIOs), especially in water, are highly spatially and temporally variable over short distances and time scales. The data therefore provide a near instantaneous picture of the spatial variation in FIO concentrations within a water body at a given time. The data are suitable for an assessment of relative sources of variation in FIO concentrations (i.e. within sample location, between sample location, between site, between district and between season).\n\nData were added to an Excel spreadsheet and exported as .csv files for deposit into the EIDC.","locations":["POLYGON((-4.636 52.117, -4.636 56.032, 1.939 56.032, 1.939 52.117, -4.636 52.117))"],"metadataDate":"2026-06-29T17:02:14.000Z","orcid":["https://orcid.org/0000-0002-5243-0876","https://orcid.org/0000-0001-7020-4410","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0002-1020-0933"],"organisation":["NERC EDS Environmental Information Data Centre","University of Newcastle","University of Stirling"],"publicationDate":"2023-05-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5f988cd4-479d-4e35-8835-42f80ebc1698","10.5285/5f988cd4-479d-4e35-8835-42f80ebc1698","doi:10.5285/5f988cd4-479d-4e35-8835-42f80ebc1698"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/04xw4m193","https://ror.org/01kj2bm70","https://ror.org/045wgfr59"],"shortenedDescription":"This dataset contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts: \n -  Greater Glasgow conurbation, Scotland\n -  Cumbria, NW England\n -  Norfolk, E England.\n\nLakes were sampled once in each of three seasons…","state":"published","supplementalName":["Lakes portal"],"title":"Faecal indicator data from 54 lakes in Greater Glasgow, Cumbria, and Norfolk, UK, 2016-2017","topic":["0/Water quality/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Smart, S.M.","Stuart, R.C.","Wood, C.M."],"authorGivenName":["C.J.","R.G.H.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","S.M.","R.C.","C.M."],"authorOrcid":["https://orcid.org/0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 508 1km x 1km square sites surveyed across Great Britain in 1990. Many of the plots are repeated from surveys in 1978 and were surveyed again in 1998 and 2007. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. ","documentType":"GEMINI_DOCUMENT","familyName":["Wood","Barr","Bunce","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart"],"fullName":["Wood, C.","Barr, C.J.","Bunce, R.G.H.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Smart, S.M.","Stuart, R.C.","Wood, C.M."],"givenName":["Claire","C.J.","R.G.H.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","S.M.","R.C.","C.M."],"identifier":"26e79792-5ffc-4116-9ac7-72193dd7f191","incomingCitationCount":4,"keyword":["Great Britain","plants","vegetation","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsOther":["plants","vegetation","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 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the Institute of Terrestrial Ecology (which later became part of the Centre for Ecology & Hydrology). Standard Countryside Survey methodology was applied (refer to the online documentation). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:25:17.000Z","orcid":["https://orcid.org/0000-0003-4006-7755"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1390493897298","CEH:EIDC::1390493897298","https://catalogue.ceh.ac.uk/id/26e79792-5ffc-4116-9ac7-72193dd7f191","10.5285/26e79792-5ffc-4116-9ac7-72193dd7f191","doi:10.5285/26e79792-5ffc-4116-9ac7-72193dd7f191"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 508 1km x 1km square sites surveyed across Great Britain in 1990. Many of the plots are repeated from surveys in 1978 and were surveyed again in 1998 and 2007. General…","state":"published","supplementalName":["Countryside Survey website"],"title":"Countryside Survey 1990 vegetation plot data","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey"],"authorFamilyName":["Broughton","Gerard","Haslam","Howard"],"authorFullName":["Broughton, R.K.","Gerard, F.","Haslam, R.","Howard, A.S."],"authorGivenName":["R.K.","F.","R.","A.S."],"authorOrcid":["https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was used with existing open source GIS datasets to map non-woodland linear features consisting of woody vegetation. The output dataset is the product of several steps of filtering and masking the lidar data using GIS landscape feature datasets available from the Tellus South West project (digital terrain model (DTM) and digital surface model (DSM)), the Ordnance Survey (OS VectorMap District and OpenMap Local, to remove buildings) and the Forestry Commission (Forestry Commission National Forest Inventory Great Britain 2015, to remove woodland parcels).  The dataset was tiled as 20 x 20 km shapefiles, coded by the bottom-left 10 km hectad name. Ground-truthing suggests an accuracy of 73.2% for hedgerow height classes.","documentType":"GEMINI_DOCUMENT","familyName":["Broughton","Gerard","Haslam","Howard"],"fullName":["Broughton, R.","Broughton, R.K.","Gerard, F.","Haslam, R.","Howard, A.S."],"givenName":["Richard","R.K.","F.","R.","A.S."],"identifier":"4b5680d9-fdbc-40c0-96a1-4c022185303f","incomingCitationCount":1,"keyword":["Tellus South West Project","NEC05019"],"keywordsProject":["Tellus South West Project","NEC05019"],"licence":"Open government licence","lineage":"The output data product has been ground truthed, suggesting an accuracy of 73.2% between field survey and modeled heghts of hedgerows (see documentation). The dataset has not been exhaustively checked for all errors. Extensive manual checking (comparison to aerial imagery) removed obvious anomalies, but many are likely to be remaining. Particular issues with misclassification of features at the coast resulted in all features within a 50 m buffer of the high water mark being removed. Some areas of tall in-field crops are probably also present as apparent low scrub, and difficulty in rendering very irregular patches of trees and scrub have created very dense or very simplistic areas of polylines.","locations":["POLYGON((-5.781 49.943, -5.781 51.281, -3.475 51.281, -3.475 49.943, -5.781 49.943))"],"metadataDate":"2026-06-27T15:24:26.000Z","orcid":["https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0001-5916-5174"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","British Geological Survey","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-03-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b5680d9-fdbc-40c0-96a1-4c022185303f","10.5285/4b5680d9-fdbc-40c0-96a1-4c022185303f","doi:10.5285/4b5680d9-fdbc-40c0-96a1-4c022185303f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was…","state":"published","title":"Woody habitat corridor data in South West England","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute"],"authorFamilyName":["Gray","Odee","Magare","Otieno","Kihara","Tendwa","Jason Kariuki","Perry","Cavers"],"authorFullName":["Gray, A.","Odee, D.","Magare, C.","Otieno, J.O.","Kihara, J.G.","Tendwa, E.M.","Jason Kariuki, J.","Perry, A.","Cavers, S."],"authorGivenName":["A.","D.","C.","J.O.","J.G.","E.M.","J.","S."],"authorOrcid":["https://orcid.org/0000-0002-6785-0590"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comes from Moringa oleifera and M. stenopetala seed pod collections harvested from known provenances in Kenya. The data includes both pod and seed traits as well as canopy and coppicing information for the mother trees.","documentType":"GEMINI_DOCUMENT","familyName":["Gray","Odee","Magare","Otieno","Kihara","Tendwa","Jason Kariuki","Perry","Cavers"],"fullName":["Gray, A.","Odee, D.","Magare, C.","Otieno, J.O.","Kihara, J.G.","Tendwa, E.M.","Jason Kariuki, J.","Perry, A.","Cavers, S."],"givenName":["A.","D.","C.","J.O.","J.G.","E.M.","J.","S."],"identifier":"2e9ad843-c5db-402a-8b47-de45bf7bbaf2","incomingCitationCount":0,"keyword":["Sub-Saharan Africa","Plant Traits","Tree Improvement","agroforestry","seed (biology)"],"keywordsOther":["Plant Traits","Tree Improvement","agroforestry","seed (biology)"],"keywordsPlace":["Sub-Saharan Africa"],"licence":"Open government licence","lineage":"Pods were returned to Kenya Forestry Research Institute in Nairobi and Pods were air dried. The pods and seed were then measured and scored for traits in the laboratory. Provenance localities were measured using a hand held GPS.","locations":["POLYGON((33.486 -4.828, 33.486 4.784, 41.968 4.784, 41.968 -4.828, 33.486 -4.828))"],"metadataDate":"2026-06-29T16:44:49.000Z","orcid":["https://orcid.org/0000-0002-6785-0590"],"organisation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2e9ad843-c5db-402a-8b47-de45bf7bbaf2","10.5285/2e9ad843-c5db-402a-8b47-de45bf7bbaf2","doi:10.5285/2e9ad843-c5db-402a-8b47-de45bf7bbaf2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comes from Moringa oleifera and M. stenopetala seed pod collections harvested from known provenances in Kenya. The data includes both pod and seed traits as well as canopy and coppicing information for the mother trees.","state":"published","title":"Pod and seed trait data for Moringa oleifera Lam. from Kenya 2019","version":1.0,"view":["public","matnic"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all scheme data upto the year of publication.\n\nDatasets currently available for download include: UK and country-level collated indices of abundance, and UK trends in abundance for all commonly occurring UK butterfly species on monitored sites across the UK since 1976, as well as annually updated site location data for all UKBMS sites. Access to other data should be requested directly via the UKBMS website - https://www.ukbms.org/\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation, the UK Centre for Ecology & Hydrology, British Trust for Ornithology, and the Joint Nature Conservation Committee. The UKBMS is indebted to all volunteers who contribute data to the scheme.","documentType":"GEMINI_DOCUMENT","familyName":["Botham"],"fullName":["Botham, M."],"givenName":["Marc"],"identifier":"871f74a1-3cb1-4c0b-8595-b634c729ce1c","incomingCitationCount":0,"keyword":["Biodiversity","Lepidoptera","butterflies"],"keywordsOther":["Lepidoptera","butterflies"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-03-26T13:35:08.000Z","organisation":["UK Centre for Ecology & Hydrology"],"publicationDate":"2020-07-27T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/871f74a1-3cb1-4c0b-8595-b634c729ce1c"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all…","state":"published","title":"United Kingdom Butterfly Monitoring Scheme (UKBMS) 1976-2014 data","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Geography Markup Language (gml)"],"description":"Digital river network of the natural and artificial streams and rivers within the Plynlimon catchments.","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fullName":["Fry, M."],"givenName":["Matt"],"identifier":"b5c24a80-af3b-48db-91cd-c796ba5ecc36","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Flood and Droughts Digital Research Infrastructure (FDRI)","Hydrology","Water quality","hydrochemistry"],"keywordsOther":["hydrochemistry"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago"],"keywordsProject":["Flood and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Hydrology","Water quality"],"licence":"Non-Open government licence","lineage":"The Plynlimon river network has been digitised from scanned topographic maps of Plynlimon Catchment Areas. The 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":"2026-06-27T18:11:55.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b5c24a80-af3b-48db-91cd-c796ba5ecc36"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Digital river network of the natural and artificial streams and rivers within the Plynlimon catchments.","state":"published","title":"Plynlimon research catchments: river network","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["López-Idiáquez","Sheldon"],"authorFullName":["López-Idiáquez, D.","Sheldon, B.C."],"authorGivenName":["David","Ben C"],"authorOrcid":["https://orcid.org/0000-0001-9568-4852","https://orcid.org/0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains air temperature information from 786 points in Wytham Woods (Oxfordshire; Latitude: 51.7773, Longitude: -1.3385) between April 2023 and June 2025, collected every 15 minutes (~60 million temperature reads). Data were collected using TOMST thermologgers placed in trees with nest-boxes managed by the Edward Grey Institute of Field Ornithology (University of Oxford). In addition to the temperature values, the dataset contains information about the location of the thermologgers, the timestamps, and a value per logger to correct for the consistent deviations of each logger.\n\nThis data was collected under the project Understanding Within- and Between-Population Variation in Responses to Climate Variability and Extreme Climatic Events, supported by the Natural Environment Research Council (Grant NE/X000184/1). The overarching aim of the project was to study the effects of intra- and inter-annual temperature variability on great tit Parus major fitness. To do this, the project aims to combine the data obtained from the thermologgers at a fine temporal and spatial resolution with long-term life-history data of the great tit population of Wytham Woods.","documentType":"GEMINI_DOCUMENT","familyName":["López-Idiáquez","Sheldon"],"fullName":["David López-Idiáquez","López-Idiáquez, D.","Sheldon, B.C."],"funder":["Natural Environment Research Council"],"givenName":["David","Ben C"],"grant":["NE/X000184/1"],"identifier":"d5be8de8-66e3-4e35-af79-7bb3789849ba","incomingCitationCount":0,"keyword":["Climate and climate change","air temperature","microclimate","mixed woodland","thermologger"],"keywordsOther":["air temperature","microclimate","mixed woodland","thermologger"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"This dataset contains information of 786 thermologgers (TOMST) placed across Wytham Woods between April 2023 and June 2025. Data was collected every 15 minutes.\n\nData was extracted from the loggers on a yearly basis using the software provided by the logger manufacturer. Data transformation consisted of collating the datasets for each logger each year into a single dataset. Data were transformed in two ways. First, readings from broken or damaged loggers were removed and now appear as NA in the dataset. Second, in some cases (0.26% of the total observations), one temperature reading in a logger was repeated several times (e.g. two observations for logger B1 on 21/12/2023 12:15:00). In cases where these repetitions represented the same temperature value (0.16% of the total), one observation in the dataset was retained. In cases where these repetitions included different values, the modal value was retained. This is described by true_value in the dataset.","locations":["POLYGON((-1.3519999999999999 51.751, -1.3519999999999999 51.784, -1.292 51.784, -1.292 51.751, -1.3519999999999999 51.751))"],"metadataDate":"2026-06-27T18:43:00.000Z","orcid":["https://orcid.org/0000-0001-9568-4852","https://orcid.org/0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d5be8de8-66e3-4e35-af79-7bb3789849ba","10.5285/d5be8de8-66e3-4e35-af79-7bb3789849ba","doi:10.5285/d5be8de8-66e3-4e35-af79-7bb3789849ba"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains air temperature information from 786 points in Wytham Woods (Oxfordshire; Latitude: 51.7773, Longitude: -1.3385) between April 2023 and June 2025, collected every 15 minutes (~60 million temperature reads). Data were collected using TOMST thermologgers…","state":"published","title":"Fine temporal and spatial scale air temperature dataset of Wytham Woods, UK, 2023-2025","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Birmingham"],"authorFamilyName":["Mignanelli","Khamis","Bradley","Sambrook-Smith"],"authorFullName":["Mignanelli, L.","Khamis, K.","Bradley, C.","Sambrook-Smith, G."],"authorGivenName":["L.","K.","C.","G."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing methods for urban storm flow characterization. Two sediment types were assessed along with three size fractions across concentration ranges from 0 mg/L to 5000 mg/L. Absorbance was recorded at key wavelengths between 190 – 360 nm and particle size distribution and organic content (loss on ignition) measured for each sediment type and size fraction.  \n\nThe work was supported by the Natural Environment Research Council (Grant NE/X011178/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Mignanelli","Khamis","Bradley","Sambrook-Smith"],"fullName":["Kieran Khamis","Mignanelli, L.","Khamis, K.","Bradley, C.","Sambrook-Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["L.","K.","C.","G.","Kieran"],"grant":["NE/X011178/1"],"identifier":"ee577b07-1a2c-4541-bf30-e2ea048e15e1","incomingCitationCount":0,"keyword":["Water quality","Suspended sediment","Optical sensors"],"keywordsOther":["Suspended sediment","Optical sensors"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Measurements were taken using a commercially available absorbance sensor, Trios Opus (TriOS GmbH, Germany) at 1 minute intervals. Sediments were sieved into size fractions and particle size was quantified using  a Malvern Mastersizer 2000  (Malvern, UK) and organic content was assessed using the Loss on Ignition method.\n\nThe experimental setup consisted of a 5 L beaker filled with 4 L of deionized water, a large stirrer set to a constant rpm, and an opaque surround to minimize interference from ambient light on sensor measurements. The sensor was placed in the centre of the beaker, ~5 cm above the stirrer blade. To verify uniform mixing, subsamples were taken directly beside the optical window of the sensor and at two other locations within the beaker. These subsamples were analysed using a commercial handheld turbidimeter (Sper Scientific Portable Turbidity Meter 860040) at predefined calibration points to confirm consistent turbidity. Turbidity readings were stable and comparable across all sample positions at each calibration point.\n\nEach measurement cycle consisted of 15 calibration points spanning SSC concentrations from 0 to 5000 mg/L. During calibration, sensors recorded data continuously for 20 minutes, and once measurements had stabilized, 10 readings were randomly selected for further analysis.\n\nAll absorbance data were recorded by the TriOS Opus sensor and exported in CSV format, LOI data (weight measurements) were initially recorded on paper, then transferred into an Excel spreadsheet and particle size  data from the Mastersizer were exported as CSV files and imported into statistical software for analysis.  Records were screened for  any missing or null values and data points were checked to ensure they fell within expected ranges (e.g. in case of data entry errors). \n\n\n","locations":["POLYGON((-2.092 52.386, -2.092 52.545, -1.733 52.545, -1.733 52.386, -2.092 52.386))"],"metadataDate":"2026-06-29T18:20:47.000Z","organisation":["University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ee577b07-1a2c-4541-bf30-e2ea048e15e1","10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1","doi:10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1"],"resourceType":"Dataset","rightsHolder":["University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing…","state":"published","title":"UV absorbance of suspended sediments measured in a laboratory using a submersible spectrophotometer","topic":["0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This series combines daily automated weather station (AWS) from the Climoor field site in Clocaenog forest, North East Wales The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation (millivolts), solar radiation (Kilowatts per square metre per second), photosynthetic active radiation (PAR), (micromol per square metre per second), wind speed (metres per second) and wind direction (degrees). The data run from 12/06/1999. Data were not collected between March 2006 and June 2008 and between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Air temperature, rainfall and wind speed and direction have been recorded since June 1999. Measurements of relative humidity, air pressure, net and solar radiation and PAR started in June 2008. Data are recorded in minute intervals. Up to January 2016 the data were averaged hourly, after January 2016 data were averaged half hourly. Data are then to averaged to daily values, which are reported here. Data collection, processing and quality checking was carried out by members of CEH Bangor staff.\n\nThe Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch"],"fullName":["Reinsch, S."],"givenName":["S."],"identifier":"198980ac-8f5e-4a16-b1c0-bc6d61516b99","incomingCitationCount":0,"keyword":["AWS","Automatic Weather Station","Clocaenog","Climate and climate change","Soil","Daily"],"keywordsInstrument":["AWS","Automatic Weather Station"],"keywordsOther":["Daily"],"keywordsPlace":["Clocaenog"],"keywordsTheme":["Climate and climate change","Soil"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January  2016 data were averaged half hourly. The hourly or half hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry.Data are then to averaged to daily values. An automated script transferred the data into the project shared area of the shared network drive. Data quality checking was done on a regular basis by an experienced member of the team. Data was visually inspected using basic graphing tools, and erroneous values were removed, taking into account the weather at the site during the period in question. Data processing steps included using a macro to combine data into daily averages. Data was then cut and pasted into raw data files. Data here is collated raw data, and has only had erroneous values removed followed by basic average or summing (in the case of rainfall) calculations being carried out. The following measures were taken with sensors from Campbell Scientific: relative humidity and air temperature are recorded with an HMP45C sensor. Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer and net radiation is measured with an NR-Lites sensor. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed are recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.\nData was transferred from the raw data files into comma separated value files for transfer into the Environmental Information Data Centre.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-03-26T13:39:54.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/198980ac-8f5e-4a16-b1c0-bc6d61516b99"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This series combines daily automated weather station (AWS) from the Climoor field site in Clocaenog forest, North East Wales The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation…","state":"published","title":"Daily automated weather station (AWS) data from Climoor field site in Clocaenog Forest","topic":["0/Climate and climate change/","0/Soil/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of St Andrews"],"authorFamilyName":["Maunder","Paterson"],"authorFullName":["Maunder, J.","Paterson, D.M."],"authorGivenName":["J.","D.M."],"authorRor":["https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details surface sediment colloidal carbohydrate concentrations across six intertidal sites in the winter and summer of 2013. Colloidal carbohydrate concentrations in surface sediments (top 2mm) provide a quantitative measure of the extracellular polymeric substances (EPS) secreted by organisms that form the microphytobenthos (MPB) community. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area, twenty two sampling quadrats were placed on each area. Five replicate sediment samples were taken at each quadrat and were analysed using the Dubois Phenol-Sulphuric Assay which involves spectrophotometer analysis of absorptions to determine colloidal carbohydrate concentrations. Values for colloidal carbohydrate concentrations are expressed as glucose equivalents in micrograms per gram of sediment.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Maunder","Paterson"],"fullName":["Maunder, J.","Paterson, D.M."],"funder":["Natural Environment Research Council"],"givenName":["Jack","J.","D.M."],"grant":["NE/J015644/1"],"identifier":"6c027bf9-b344-4178-b8b3-d78cf39f017f","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","Coastal Biodiversity and Ecosystem Service Sustainability (CBESS)","sediment colloidal carbohydrates","surface sediment","mudflat","contact core","microphytobenthos","MPB","Dubois assay","salt marsh","sediment"],"keywordsOther":["sediment colloidal carbohydrates","surface sediment","mudflat","contact core","microphytobenthos","MPB","Dubois assay","salt marsh","sediment"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","Coastal Biodiversity and Ecosystem Service Sustainability (CBESS)"],"licence":"Open government licence","lineage":"Sediment colloidal carbohydrate concentration was determined through the collection of contact cores. Contact cores use liquid nitrogen to freeze the top 2mm of the sediment surface, excess unfrozen sediment is removed and the sample core is stored below -80 degree centigrade. The sample is weighed to determine wet weight and freeze dried to remove all water. Colloidal carbohydrate concentration is determined using the Dubois Phenol-Sulphuric assay. A sediment sub-sample (50-500mg, depending on site) is taken from dried contact core sediment and known volume of distilled water is added. Sample is vortexed and centrifuged then a set volume of supernatant is removed. Concentrated sulphuric acid and 5 percent phenol are added to the supernatant sample ensuring the ratio of sample: phenol: acid is kept at 1:1:5 by volume. Allow 35mins for colour to develop. Decant the samples into cuvettes and read the absorbance at 486.5nm on Thermo Biomate 5 spectrophotometer. Use figures from regression analysis of glucose standards to calculate colloidal carbohydrate concentration expressed as glucose equivalents in micrograms per gram (µg g-1). Note: zeroes indicate colloidal carbohydrate concentration below detectable level. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-06-27T14:07:21.000Z","organisation":["University of St Andrews","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-04-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6c027bf9-b344-4178-b8b3-d78cf39f017f","10.5285/6c027bf9-b344-4178-b8b3-d78cf39f017f","doi:10.5285/6c027bf9-b344-4178-b8b3-d78cf39f017f"],"resourceType":"Dataset","rightsHolder":["University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details surface sediment colloidal carbohydrate concentrations across six intertidal sites in the winter and summer of 2013. Colloidal carbohydrate concentrations in surface sediments (top 2mm) provide a quantitative measure of the extracellular polymeric…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) surface sediment colloidal carbohydrate concentration in saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["NIRAS Group UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow"],"authorFamilyName":["Stolpmann","Balke","Bass","Roberts"],"authorFullName":["Stolpmann, L.","Balke, T.","Bass, A.","Roberts, K."],"authorGivenName":["Lea","Thorsten","Adrian","Kenny"],"authorOrcid":["https://orcid.org/0000-0003-4251-9532","https://orcid.org/0000-0001-7733-5069","https://orcid.org/0000-0003-3982-6582"],"authorRor":["https://ror.org/033n9gh91","https://ror.org/00vtgdb53"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data include sediment grain size, sediment carbon content and carbon stable isotope analysis, collected at Charlotte Harbor Florida (two sites) in August 2022, and in the Mekong Delta, Vietnam (Ca Mau, Kien Giang and Soc Trang) from 24-08-2022 to 09-09-2022. Data were collected to determine if sediment characteristics and sediment to atmosphere CO2 flux at mangrove coastlines is different depending on the erosional or accretional state of the site.","documentType":"GEMINI_DOCUMENT","familyName":["Stolpmann","Balke","Bass","Roberts"],"fullName":["Lea Stolpmann","Stolpmann, L.","Balke, T.","Bass, A.","Roberts, K."],"funder":["Natural Environment Research Council"],"givenName":["Lea","Thorsten","Adrian","Kenny"],"grant":["NE/S008926/1"],"identifier":"086a5b43-7fdb-430a-9202-2eeef4649456","incomingCitationCount":0,"keyword":["Hydrology","Soil","Climate and climate change","Environmental survey","CO2 flux","Mangrove","Florida","Erosion","Soil organic carbon","Grain size","Charlotte Harbor","United States","Mekong Delta","Vietnam"],"keywordsOther":["CO2 flux","Mangrove","Florida","Erosion","Soil organic carbon","Grain size","Charlotte Harbor","United States","Mekong Delta","Vietnam"],"keywordsTheme":["Hydrology","Soil","Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Sediment to atmosphere CO2 flux measured with Licor gas analyser (LI-850) with gas equilibration chamber.\n\nSediment cores were taken with an auger. Sediment was processed for grain size analysis, carbon stable isotope ratio (d13C), carbon content (total, organic, inorganic).  \n\nReplicate measurements were taken at multiple distances away from the vegetation edge.\n\nCalculation of CO2 efflux ((g m-2 hr-1) calculated with polynomial regression, fitted to the initial increase in CO2 concentration)\n\nSediment grain size analysis, carbon content analysis, carbon stable isotope analysis.\nCarbon analysis with Picarro cavity ring-down spectrometer - included blank samples and calibration samples\n\nLinear regression rate (m) calculated with DSAS v5.1","locations":["POLYGON((-82.043 8.471, -82.043 26.978, 130 26.978, 130 8.471, -82.043 8.471))"],"metadataDate":"2026-06-27T18:47:47.000Z","orcid":["https://orcid.org/0000-0003-4251-9532","https://orcid.org/0000-0001-7733-5069","https://orcid.org/0000-0003-3982-6582"],"organisation":["NIRAS Group UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/086a5b43-7fdb-430a-9202-2eeef4649456","10.5285/086a5b43-7fdb-430a-9202-2eeef4649456","doi:10.5285/086a5b43-7fdb-430a-9202-2eeef4649456"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/033n9gh91","https://ror.org/00vtgdb53","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"Data include sediment grain size, sediment carbon content and carbon stable isotope analysis, collected at Charlotte Harbor Florida (two sites) in August 2022, and in the Mekong Delta, Vietnam (Ca Mau, Kien Giang and Soc Trang) from 24-08-2022 to 09-09-2022. Data were…","state":"published","supplementalDescription":["Stolpmann, L. M. M. (2024). Intertidal wetland sediment carbon budgets along eroding and prograding coasts [PhD, University of Glasgow]","An additional riverine carbon dataset is available. This includes dissolved organic and inorganic carbon, particulate organic carbon, total dissolved nitrogen and the stable isotope values of POC and DIC from 23 sites across two monsoon cycles. Data were collected in the pre-monsoon, post-monsoon, and monsoon periods."],"title":"Sediment to atmosphere CO2 flux and soil characteristics at geomorphically different mangrove sites in the Mekong Delta, Vietnam, and Charlotte Harbor, Florida, USA, 2022","topic":["0/Hydrology/","0/Soil/","0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Garbutt"],"authorFullName":["Garbutt, A."],"authorGivenName":["Angus"],"authorOrcid":["https://orcid.org/0000-0002-9145-9786"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Bed level data are presented from transects at the Tollesbury Managed Realignment site, after the managed breaching of the sea wall in August 1995. Twenty measurements were taken at fixed positions along transects relative to an aluminium bar placed across a pair of permanent wooden posts at either end of each transect. Measurements were made to the nearest millimetre using a ruler. All measurements were made by the data author. Data from the original transects were collected monthly from September 1995 to 1998, bimonthly up to 2000 and then in April and September to 2007. Extra transects were added in April 1999 and data collected at the same frequency.\n\nThe data were collected investigate if the exposure of the agricultural land to seawater would result in the accumulation of silt. The work was funded by the Department for Environment Food & Rural Affairs (Defra) under the Centre for Ecology & Hydrology (CEH) contract C00356","documentType":"GEMINI_DOCUMENT","familyName":["Garbutt"],"fullName":["Garbutt, A."],"funder":["Natural Environment Research Council"],"givenName":["Angus"],"identifier":"f9513ece-a913-4774-8808-273dcf7ed0be","incomingCitationCount":1,"keyword":["Tollesbury","Managed realignment","Bed Level","sediment","salt marsh"],"keywordsOther":["Managed realignment","Bed Level","sediment","salt marsh"],"keywordsPlace":["Tollesbury"],"licence":"Open government licence","lineage":"At the Tollesbury Managed Realignment site (TL 960 110), prior to breaching the sea wall in August 1995, twenty 2 metre wide transects were randomly located within the site to measure sedimentation rates. Twenty measurements were taken at fixed positions along each transect relative to an aluminium bar placed across a pair of permanent wooden posts at either end of each transect. The height from the aluminium bar to the salt marsh surface was measured using a ruler to the nearest millimetre. Measurements were recorded in a field note book.\n\nData from these transects were collected monthly from September 1995 to 1998, bimonthly up to 2000 and then in April and September to 2007. In April 1999, five additional sediment transects were set up inside the site in areas thought to be eroding, and were not covered by the 20 transects already in place. Data from these transects were collected in April and September to 2007.\n\nData was transposed from the field notebook into an Excel spreadsheet. Data were exported as a comma separated value file for ingestion into the EIDC.","locations":["POLYGON((0.766 51.72, 0.766 51.801, 0.943 51.801, 0.943 51.72, 0.766 51.72))"],"metadataDate":"2026-06-29T17:05:17.000Z","orcid":["https://orcid.org/0000-0002-9145-9786"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-05-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f9513ece-a913-4774-8808-273dcf7ed0be","10.5285/f9513ece-a913-4774-8808-273dcf7ed0be","doi:10.5285/f9513ece-a913-4774-8808-273dcf7ed0be"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Bed level data are presented from transects at the Tollesbury Managed Realignment site, after the managed breaching of the sea wall in August 1995. Twenty measurements were taken at fixed positions along transects relative to an aluminium bar placed across a pair of…","state":"published","supplementalName":["Technical report for the project"],"title":"Bed level change within the Tollesbury managed realignment site, Blackwater estuary, Essex, UK between 1995 and 2007","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Cardiff University","Imperial College London"],"authorFamilyName":["Durance","Feeley","Perkins","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"authorFullName":["Durance, I.","Feeley, H.B.","Perkins, D.M.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"authorGivenName":[" I.","H.B.","D.M.","M.C.","C.","S.J.","G."],"authorOrcid":["https://orcid.org/0000-0002-4138-3349","https://orcid.org/0000-0003-0386-0586","https://orcid.org/0000-0002-6785-4049","https://orcid.org/0000-0002-8174-302X"],"authorRor":["https://ror.org/03kk7td41","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data are macroinvertebrate composition and abundance in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as control (no addition). Nylon mesh bags containing deciduous leaves were fixed in both experimental and control reaches to estimate leaf decomposition rates. The macroinvertebrate composition of the nylon mesh bags was surveyed in January 2013 and again in March 2013 in each sampling reach. \n\nThe main goal of this survey was to examine how aquatic biodiversity responds to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley, Dr Dan Perkins and Marian Pye were in charge of collecting, processing and sorting the invertebrate samples. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme","documentType":"GEMINI_DOCUMENT","familyName":["Durance","Feeley","Perkins","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"fullName":["Durance, I.","Feeley, H.B.","Perkins, D.M.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"funder":["Natural Environment Research Council"],"givenName":[" I.","H.B.","D.M.","M.C.","C.","S.J.","G.","Isabelle","I."],"grant":["NE/J014818/1"],"identifier":"3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","incomingCitationCount":0,"keyword":["Wales","Plynlimon","Llyn Brianne","aquatic invertebrates","benthic community","land use","acidity","aquatic animal","invertebrate","biological diversity","benthic ecosystem"],"keywordsOther":["aquatic invertebrates","benthic community","land use","acidity","aquatic animal","invertebrate","biological diversity","benthic ecosystem"],"keywordsPlace":["Wales","Plynlimon","Llyn Brianne"],"licence":"Open government licence","lineage":"Each stream was divided into an upstream reference zone and a downstream experimental zone. Deciduous leaves were added directly to the stream and by fixing 'Onion bags' of leaves to the stream bed and bank. \n\nIn early November 2012, 48 replicate litter bags (24 per reference zone and 24 per experimental zone) of two mesh types, fine and coarse filled with air dried deciduous leaves were secured in pairs to randomly distributed metal poles each of the study streams. The mesh bags were then covered with cobbles to facilitate biological colonisation. At the end of the 'before' treatment half the litter bags or 6 fine and 6 coarse mesh litter bags were removed gently from both the reference and experimental study zones within each stream. At the same time 6 new fine mesh and 6 new coarse mesh litter bags were added to each pole to measure the decomposition during the 'after' manipulation period. These bags were left until the end the experimental period. At this point all of the remaining litter bags were removed. \n\nDirectly upon collection, all litter bags were preserved in 70 per cent ethanol on site, within individual clear polystyrene bags, marked with an identifying code and transported back to the laboratory for processing. Once in the laboratory the leaf material from each litter bag was rinsed carefully under tap water under a fine sieve and air dried at room temperature. All macroinvertebrates were separated from the contents of each litter bag, and identified to species. Data was recorded onto an Excel spreadsheet. Data was exported from the Excel spreadsheet to a comma separated value file for ingestion into the Environmental Information Data Centre (EIDC).","locations":["POLYGON((-3.785 52.107, -3.785 52.518, -3.641 52.518, -3.641 52.107, -3.785 52.107))"],"metadataDate":"2026-06-29T18:07:36.000Z","orcid":["https://orcid.org/0000-0002-4138-3349","https://orcid.org/0000-0003-0386-0586","https://orcid.org/0000-0002-6785-4049","https://orcid.org/0000-0002-8174-302X","https://orcid.org/0000-0002-4138-3349 "],"organisation":["Cardiff University","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","10.5285/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","doi:10.5285/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d"],"resourceType":"Dataset","ror":["https://ror.org/03kk7td41","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"These data are macroinvertebrate composition and abundance in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches)…","state":"published","title":"Macroinvertebrate leaf decomposers in response to organic matter addition to streams in the Welsh uplands (2013)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and annual minima of seven-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member.\n\nTo aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid.\n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.","Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"funder":["Natural Environment Research Council"],"givenName":["Alison","A.L.","A.C.","H.N.","R.A.","V.A."],"grant":["NE/R016429/1"],"identifier":"18be3704-0a6d-4917-aa2e-bf38927321c5","incomingCitationCount":1,"keyword":["UK-SCAPE","Modelling","Climate and climate change","Hydrology","River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"keywordsOther":["River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Modelling","Climate and climate change","Hydrology"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018 - https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604) . The projections comprise a twelve-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE derived from other meteorological variables (using the Penman-Monteith scheme). See the documentation accompanying the data for more details.","locations":["POLYGON((-8.903 49.771, -8.903 58.883, 3.181 58.883, 3.181 49.771, -8.903 49.771))"],"metadataDate":"2026-06-29T16:02:27.000Z","orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/18be3704-0a6d-4917-aa2e-bf38927321c5","10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5","doi:10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and…","state":"published","title":"Grid-to-Grid model estimates of river flow for Great Britain driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2","topic":["0/Modelling/","0/Climate and climate change/","0/Hydrology/"],"version":2.0,"view":["public","dgwr"]},{"authorAffiliation":["University of Aberdeen","UK Centre for Ecology & Hydrology","University of Exeter","Sabah Forestry Department","Stirling University","Universidad Rey Juan Carlos"],"authorFamilyName":["Burslem","Banin","Bartholomew","Bin Suis","Bittencourt","Chapman","Dent","Hayward","O'Brien","Rowland"],"authorFullName":["Burslem, D.F.R.P.","Banin, L.F.","Bartholomew, D.C.","Bin Suis, M.A.F.","Bittencourt, P.R.L.","Chapman, D.","Dent, D.H.","Hayward, R.M.","O'Brien, M.J.","Rowland, L.M."],"authorGivenName":["D.F.R.P.","L.F.","D.C.","M.A.F.","P.R.L.","D.","D.H.","R.M.","M.J.","L.M."],"authorOrcid":["https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-1168-3914","https://orcid.org/0000-0002-8123-1817","https://orcid.org/0000-0002-9653-225X"],"authorRor":["https://ror.org/016476m91","https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/03sfqvm15","https://ror.org/045wgfr59","https://ror.org/01v5cv687"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes values of 15 traits (total dry mass; root length to shoot length ratio; leaf mass fraction; root mass fraction; shoot mass fraction; leaf thickness; leaf force to punch; leaf area to shoot area ratio; leaf concentrations of N, P, K, Ca and Mg; leaf N: P concentration ratio; specific maximum root length) measured in February 2020 on 394 seedlings of 15 woody plant species growing in logged in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia. The purpose of this data collection was to determine whether the expression of plant functional traits differed between tree seedlings recruited into logged and unlogged forests. This information is important for understanding the drivers of variation in seedling growth and survival in response to logging disturbance, and to uncover the mechanisms giving rise to differentiation in tree seedling composition in response to logging.\n\nThese data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1).","documentType":"GEMINI_DOCUMENT","familyName":["Burslem","Banin","Bartholomew","Bin Suis","Bittencourt","Chapman","Dent","Hayward","O'Brien","Rowland"],"fullName":["Burslem, D.F.R.P.","Banin, L.F.","Bartholomew, D.C.","Bin Suis, M.A.F.","Bittencourt, P.R.L.","Chapman, D.","Dent, D.H.","Hayward, R.M.","O'Brien, M.J.","Rowland, L.M."],"funder":["Natural Environment Research Council"],"givenName":["D.F.R.P.","L.F.","D.C.","M.A.F.","P.R.L.","D.","D.H.","R.M.","M.J.","L.M."],"grant":["NE/T006560/1"],"identifier":"e738e8af-554a-4940-bb56-267c7377d74d","incomingCitationCount":0,"keyword":["Southeast Asia","Malaysia","Sabah","dipterocarp","logging","global change","mast fruiting","plant functional trait","biodiversity","tropical forest","demography","seedling"],"keywordsOther":["dipterocarp","logging","global change","mast fruiting","plant functional trait","biodiversity","tropical forest","demography","seedling"],"keywordsPlace":["Southeast Asia","Malaysia","Sabah"],"licence":"Open government licence","lineage":"Trait data were collected by direct sampling of seedlings adjacent to 75, 1 m2 seedling plots (46 in unlogged primary forest; 26 in logged forest). The length of the longest root and shoot length were measured using a ruler and shoot diameter was measured just below the first branch using precision callipers. Shoot diameter was converted into shoot cross-sectional area based on the assumption that all shoots were circular. To calculate leaf area, all leaves were scanned using a flatbed scanner (CanoScan LiDE 120, Canon Inc., Tokyo, Japan) and analysed using ImageJ software in the R package LeafArea (Katabuchi, 2015). Leaf thickness was measured on three leaves, where available, using precision callipers avoiding any major veins and a mean was calculated. Leaf force to punch was measured at three points on the leaf using a Chantillon DFXII Digital Force Gauge with a 1 mm2 flat head rod (AMETEK Sensors, New York, USA) and the mean was calculated. Leaves, shoots and roots were air-dried before being transferred to the Forest Research Centre, Sepilok, where they were dried to constant weight in an oven at 50 degC before being weighed. Leaf mass fraction and root mass fraction were calculated by dividing dry leaf and dry root mass by total dry mass, respectively. Leaf mass area was calculated by dividing dry leaf mass by leaf area. Leaf area to shoot area ratio was calculated by dividing leaf area by the cross-sectional area of the shoot, root length to shoot length ratio by dividing root length by shoot length and specific maximum root length by dividing maximum root length by dry root mass.\n\nThe leaves of the sampled seedlings were combined with additional sample material from the same plot before being analysed for foliar nutrient concentrations at the Forest Research Centre, Sepilok. Leaves were ground using a SM2000 Heavy-duty Cutting Mill (Retsch, Haan, Germany) to pass through a 100-mesh (212 μm) sieve. The ground material was digested using a hydrogen peroxide-sulfuric acid digestion (Allen, 1989). Nleaf and Pleaf were measured colorimetrically using an Astoria-Pacific Flow Analyzer (Astoria-Pacific, OR, USA). Caleaf, Kleaf and Mgleaf were measured spectrometrically using a SpectroArcos FHX22 (Spectro Analytical Instruments, Kleve, Germany). A subsample of the leaves was dried at 105 degC to constant weight to calculate the percentage moisture content and to correct laboratory analyses to an oven dry basis. N:P was calculated by dividing Nleaf by Pleaf.","locations":["POLYGON((86.484 -23.244, 86.484 14.814, 128.672 14.814, 128.672 -23.244, 86.484 -23.244))"],"metadataDate":"2026-06-29T16:25:25.000Z","orcid":["https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-1168-3914","https://orcid.org/0000-0002-8123-1817","https://orcid.org/0000-0002-9653-225X"],"organisation":["University of Aberdeen","UK Centre for Ecology & Hydrology","University of Exeter","Sabah Forestry Department","Stirling University","Universidad Rey Juan Carlos","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e738e8af-554a-4940-bb56-267c7377d74d","10.5285/e738e8af-554a-4940-bb56-267c7377d74d","doi:10.5285/e738e8af-554a-4940-bb56-267c7377d74d"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/03sfqvm15","https://ror.org/045wgfr59","https://ror.org/01v5cv687","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes values of 15 traits (total dry mass; root length to shoot length ratio; leaf mass fraction; root mass fraction; shoot mass fraction; leaf thickness; leaf force to punch; leaf area to shoot area ratio; leaf concentrations of N, P, K, Ca and Mg;…","state":"published","title":"Tropical forest seedling trait data collected in Danum Valley, Sabah, Malaysia, in February 2020","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee","Butterfly Conservation"],"authorFamilyName":["Rolph","Mondain-Monval","August","Jarvis","Wright","Fox","Pocock"],"authorFullName":["Rolph, S.","Mondain-Monval, T.O.","August, T.","Jarvis, S.G.","Wright, E.","Fox, R.","Pocock, M.J.O."],"authorGivenName":["S","T.O.","T.","S.G.","E.","R.","M.J.O."],"authorOrcid":["https://orcid.org/0000-0001-6755-9456","https://orcid.org/0000-0002-6770-2002","https://orcid.org/0000-0003-1116-3385","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-3346-0743","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0003-4375-0445"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05tzsrw37","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset includes a set of modelled outputs produced as part of the DECIDE project. Three groups were modelled; butterflies, day-flying moths and night-flying moths. (For the moths, we only considered 'macro-moths'.) For each group there are three outputs; species richness, model variability and DECIDE recording priority. The outputs summarise across multiple species within each group. The model’s prediction probability of occurrence for individual species is not made available. The outputs are in a raster format on Ordnance Survey National Grid reference system (OSGB) at 100m x 100m resolution.\n\nSpecies richness layers are a modelled prediction of how many species are present at a location. Model variability is used to determine where a model is uncertain about its prediction of species occurrence. Model variability is combined with information about how recently a species had been recorded to produce the DECIDE recording priority. The DECIDE recording priority is a measure to prioritise locations to support adaptive sampling of where to collect species occurrence data to improve species distribution models.","documentType":"GEMINI_DOCUMENT","familyName":["Rolph","Mondain-Monval","August","Jarvis","Wright","Fox","Pocock"],"fullName":["Rolph, S.","Mondain-Monval, T.O.","August, T.","Jarvis, S.G.","Wright, E.","Fox, R.","Pocock, M.J.O."],"funder":["Natural Environment Research Council"],"givenName":["Simon","S","T.O.","T.","S.G.","E.","R.","M.J.O."],"grant":["NE/V003054/1"],"identifier":"445381ce-f412-48a0-bc3c-2d0ef4737274","incomingCitationCount":0,"keyword":["Biodiversity","moth","Lepidoptera","species distribution model","adaptive sampling","butterfly","lepidopteran","biodiversity"],"keywordsOther":["moth","Lepidoptera","species distribution model","adaptive sampling","butterfly","lepidopteran","biodiversity"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Outputs are derived from species distribution models (SDMs) fitted to species occurrence data and environmental data. The species occurrence data is from structured surveys and opportunistic species record. Data is from Butterflies for the New Millennium (https://butterfly-conservation.org/our-work/recording-and-monitoring/butterflies-for-the-new-millennium) and the UK Butterfly Monitoring Scheme and the National Moth Recording Scheme. Environmental data used for fitting SDMs included; BIOCLIM variables derived from long term average climate data, altitude, slope, aspect, land-cover (UKCEH land-cover map).\n\nSDMs were fitted for species separately using an ensemble modelling approach using four different model types; logistic regression (GLM), general additive model (GAM), random forest (RF) and Maxent (ME). Best performing models for each species were used. Species richness is the summed predicted probability of presence across all species within each group (butterfly, day-flying moths, and night-flying moths).\n\nModel variability was calculated using a bootstrapping approach. For each model type, we fit the model 10 times on 90% random subsets of the total species' occurrence dataset. Model variability was calculated as the standard deviation across each model’s predicted probability of occurrence at each location for each species. The model variability was summed across all species within each group to produce the model variability layer. \n\nThe DECIDE recording priority (where a recorder should visit next) was calculated as a composite of model variability and how recently a record had been made in a location. Specifically, the model variability was down-weighted by the days since each record by dividing by the number of months since last record.\n\nIn the DECIDE tool (https://decide.ceh.ac.uk), the DECIDE recording priority layer is updated daily as new records are made on iRecord, iNaturalist and iSpot. The data presented here is a snapshot of the layers as of 20-Feb-2023.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:40:15.000Z","orcid":["https://orcid.org/0000-0001-6755-9456","https://orcid.org/0000-0002-6770-2002","https://orcid.org/0000-0003-1116-3385","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-3346-0743","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0003-4375-0445"],"organisation":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee","Butterfly Conservation","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/445381ce-f412-48a0-bc3c-2d0ef4737274","10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274","doi:10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05tzsrw37","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes a set of modelled outputs produced as part of the DECIDE project. Three groups were modelled; butterflies, day-flying moths and night-flying moths. (For the moths, we only considered 'macro-moths'.) For each group there are three outputs; species…","state":"published","supplementalName":["DECIDE tool"],"title":"Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain","topic":["0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B."],"authorGivenName":["M.S.","I.","J.","C.","R.","D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade.\n\nCollated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B."],"funder":["Natural Environment Research Council","Butterfly Conservation","Joint Nature Conservation Committee"],"givenName":["M.S.","I.","J.","C.","R.","D.B."],"grant":["NE/R016429/1"],"identifier":"1b522961-9d5e-460c-8762-389f2314e85b","incomingCitationCount":0,"keyword":["Biodiversity","England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","butterfly"],"keywordsOther":["England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","butterfly"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:33:01.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1b522961-9d5e-460c-8762-389f2314e85b","10.5285/1b522961-9d5e-460c-8762-389f2314e85b","doi:10.5285/1b522961-9d5e-460c-8762-389f2314e85b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed,…","state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2022","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jenroe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=2"}