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Dataset includes the change to a business as usual scenario for different soil managements for each decade from 2030 to 2100.\nThe work was supported by the Natural Environment Research Council (NE/P019455/1)  \n","documentType":"GEMINI_DOCUMENT","familyName":["Vetter","Aitkenhead","Dondini","Eory","Goglio","Harris","Hillier","House","Lefebrve","MacLeod","Manning","Medina-Carmona","Mohamed-Yunus","Moran","Myrgiotis","Payen","Rees","Sohi","Sykes","Williams","Wollenberg","Smith"],"fullName":["Vetter, S.H.","Aitkenhead, M.","Dondini, M.","Eory, V.","Goglio, P.","Harris, J.","Hillier, J.","House, J.","Lefebrve, D.","MacLeod, M.","Manning, D.","Medina-Carmona, C.","Mohamed-Yunus, S.","Moran, D.","Myrgiotis, V.","Payen, F.","Rees, B.","Sohi, S.","Sykes, A.","Williams, M.","Williams, A.","Wollenberg, L.","Smith, P."],"funder":["Natural Environment Research Council"],"givenName":["S.H.","M.","V.","P.","J.","D.","C.","S.","F.","B.","A.","L."],"grant":["NE/P019455/1"],"identifier":"fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8","incomingCitationCount":0,"keyword":["Climate and climate change","soil carbon","management","greenhouse gas removal","carbon sequestration","soil","agriculture","greenhouse gas"],"keywordsOther":["soil carbon","management","greenhouse gas removal","carbon sequestration","soil","agriculture","greenhouse gas"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"The global data was modelled with the model ECOSSE (Estimating Carbon in Organic Soils – Sequestration and Emissions) with the use of global data sets for soil (harmonised world soil database) and climate (CRU dataset). The business as usual (BAU) scenario was modelled for the crop wheat and conventional tillage practice. The produced data set presents the difference to the BAU scenario by simulating different managements (reduced till, no till, residue incorporation, cover cropping, and manure) and climate scenarios based on the data sets of the Climate Research Unite of University of East Anglia (A1B – a moderate climate change scenario under rapid economic growth but balanced over all sectors, A2 – a worst case climate scenario with regional heterogeneous economic growth) in the years 2050 and 2100.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T18:10:28.000Z","organisation":["Aberdeen University","James Hutton Institute","University of Aberdeen","Scotland's Rural College (SRUC)","University of Perugia, Italy","Cranfield University","University of Edinburgh","University of Bristol","Brightspot Climate","Newcastle University","Sterling University","Unaffiliated","Trinity Agtech","University of Vermont","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8","10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8","doi:10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data set shows the modelled change of soil organic carbon under different managements in agriculture for different climate scenarios globally. Dataset includes the change to a business as usual scenario for different soil managements for each decade from 2030 to…","state":"published","title":"Modelled global soil carbon change based on different management and climate scenarios from 2030 to 2100","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Forestry Research Institute of Ghana","University of Exeter"],"authorFamilyName":["Adu-Bredu","Stivanello","Duah-Gyamfi","Addo-Danso","Dabo","Ibrahim","Manu","Ametsitsi","Streher","Feldpausch","Hill"],"authorFullName":["Adu-Bredu, S.","Stivanello, S.","Duah-Gyamfi, A.","Addo-Danso, S.","Dabo, J.","Ibrahim, F.","Manu, E.A.","Ametsitsi, G.","Streher, A.S.","Feldpausch, T.","Hill, T."],"authorGivenName":["S.","A. ","J.  ","F.","E.A.","G.","A.S.","T."],"authorOrcid":["0000-0001-7487-7911","0000-0002-6631-7962","0000-0002-1740-930X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ankasa Conservation Area, collected between June 2018 and July 2021.\nWe investigated tree mortality drive by lightning strikes in a 50-ha (1000 m x 500 m) plot area in the Ankasa Conservation Area, located in southwestern Ghana. The 50-ha was divided into 50 x 1-ha forest plots. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing). Lightning strike data was collected from a subsample of the individual trees recorded in the census data.\n","documentType":"GEMINI_DOCUMENT","familyName":["Adu-Bredu","Stivanello","Duah-Gyamfi","Addo-Danso","Dabo","Ibrahim","Manu","Ametsitsi","Streher","Feldpausch","Hill"],"fullName":["Adu-Bredu, S.","Stivanello, S.","Duah-Gyamfi, A.","Addo-Danso, S.","Dabo, J.","Ibrahim, F.","Manu, E.A.","Ametsitsi, G.","Streher, A.S.","Feldpausch, T.","Hill, T."],"funder":["Natural Environment Research Council"],"givenName":["S.","A. ","J.  ","F.","E.A.","G.","A.S.","T.","Tim"],"grant":["NE/P001564/1"],"identifier":"615481ab-e97d-4c73-9973-4fb80e5fb003","incomingCitationCount":0,"keyword":["Tree mortality","Forest Inventory","lightning","tree","tropical forest"],"keywordsOther":["Tree mortality","Forest Inventory","lightning","tree","tropical forest"],"licence":"Open government licence","lineage":"For each tree measured in the forest inventory, we installed a custom-made Rogowski Coil sensor, that was designed and tested by the Cardiff Morgan Botti lightning laboratory, to record if a tree was struck by lightning, without damaging the tree or altering the tree's electrical resistance. The Rogowski Coil is a non-contact sensor commonly used to measure alternating and impulse current flowing through the axis of the coil (in our case, down the tree). A quick visual check of the fuse allows us to see if the tree was struck by lightning. In addition to tree stem measurements, in each census, we also took notes on the general state of the coil and fuse, and the electrical conductivity was measured. Trees struck by lightning (e.g. with the fuse blown or melted) were identified at the species level and any lightning-associated damage to the tree (e.g. marks in trunks, broken branches, canopy dieback) and in the surroundings (e.g. canopy gaps, sapling mortality) was documented.","locations":["POLYGON((-2.731 5.136, -2.731 5.443, -2.424 5.443, -2.424 5.136, -2.731 5.136))"],"metadataDate":"2026-07-25T06:43:11.000Z","orcid":["0000-0001-7487-7911","0000-0002-6631-7962","0000-0002-1740-930X"],"organisation":["Forestry Research Institute of Ghana","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/615481ab-e97d-4c73-9973-4fb80e5fb003","10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003","doi:10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/03yghzc09"],"shortenedDescription":"This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ankasa Conservation Area, collected between June 2018 and July 2021.\nWe investigated tree mortality drive…","state":"published","title":"Forest inventory and lightning strikes data from Ankasa Conservation area, Ghana, 2018-2021","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated"],"authorFamilyName":["Iwanicka","Stephens","Duarte","Storeton-West"],"authorFullName":["Iwanicka, A.","Stephens, A.","Duarte, F.","Storeton-West, R."],"authorGivenName":["A.","F.","R."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside and the other is outside in the garden area. The garden backs onto grassland which is part of a large dairy farm. The ammonia measurements are taken from a set of UKCEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers from January 2022 to December 2022. Samplers are exposed in monthly cycles at the beginning of each month.","documentType":"GEMINI_DOCUMENT","familyName":["Iwanicka","Stephens","Duarte","Storeton-West"],"fullName":["Iwanicka, A.","Stephens, A.","Duarte, F.","Storeton-West, R."],"funder":["Natural Environment Research Council"],"givenName":["A.","F.","R.","Agata"],"grant":["NE/R016429/1"],"identifier":"122e87db-7269-4d6a-bc99-9a826fda3885","incomingCitationCount":0,"keyword":["Ammonia monitoring","Passive sampler","Rural dwelling "],"keywordsOther":["Ammonia monitoring","Passive sampler","Rural dwelling "],"licence":"Open government licence","lineage":"Local site operator duties are completed by a private individual and analysis and plotting of results is completed by the UK Centre for Ecology & Hydrology, Edinburgh. Samplers are exposed in monthly cycles at the beginning of each month.\nData analysis and preparation is conducted using the AAGA data processing tool. AAGA is a database designed to introduce more reliable, reproductible and traceable way of handling data from ALPHA® samplers, the abbreviation stands for Ammonia Acids Gases and Aerosols data system.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:08:34.000Z","organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/122e87db-7269-4d6a-bc99-9a826fda3885","10.5285/122e87db-7269-4d6a-bc99-9a826fda3885","doi:10.5285/122e87db-7269-4d6a-bc99-9a826fda3885"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside and the other is outside in the garden area. The garden backs onto grassland which is part of a large dairy…","state":"published","title":" Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire, 2022","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Scholefield"],"authorFullName":["Scholefield, P.A."],"authorGivenName":["P.A."],"authorOrcid":["0000-0003-2974-6431"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset provides a 1km resolution raster (gridded) coverage of wooded areas in riparian zones (river- or streamsides) across Great Britain.  The areas classified as riparian in this dataset are defined by a 50 metre buffer applied to the CEH 1:50000 watercourse network.  Wooded areas within this zone are identified as those classified by the Land Cover Map of Great Britain 2007 as either coniferous or deciduous woodland. The data are aggregated to a 1km resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Scholefield"],"fullName":["Scholefield, P.A."],"givenName":["P.A."],"identifier":"ec3ed342-5dc3-448f-baaa-c3b77bff1065","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","riversides","streamsides","riparian zone","woodland"],"keywordsOther":["riversides","streamsides","riparian zone","woodland"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Open government licence","lineage":"The wooded riparian areas in this dataset are derived from the  CEH 1:50000 watercourse network and the Land Cover Map of Great Britain 2007.  Details of data processing are contained in the supporting information available with the dataset.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:52:49.000Z","orcid":["0000-0003-2974-6431"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ec3ed342-5dc3-448f-baaa-c3b77bff1065","10.5285/ec3ed342-5dc3-448f-baaa-c3b77bff1065","doi:10.5285/ec3ed342-5dc3-448f-baaa-c3b77bff1065"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides a 1km resolution raster (gridded) coverage of wooded areas in riparian zones (river- or streamsides) across Great Britain.  The areas classified as riparian in this dataset are defined by a 50 metre buffer applied to the CEH 1:50000 watercourse…","state":"published","title":"Map of wooded riparian zones in Great Britain","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"Land cover maps describe the physical material on the surface of the country. For example grassland, woodland, rivers & lakes or man-made structures such as roads and buildings\n\nUKCEH Land Cover Maps are parcel-based thematic classifications of satellite image data covering the United Kingdom. They are used in a wide range of applications by government departments & agencies, county councils, charities and environmental management bodies.  The versions available are:\n - Land Cover Map 1990 (original map GB only, the revised map gives full UK coverage)\n - Land Cover Map 2000\n - Land Cover Map 2007\n - Land Cover Map 2015\n - Land Cover Map 2017\n - Land Cover Map 2018\n - Land Cover Map 2019\n - Land Cover Map 2020\n - Land Cover Map 2021\n - Land Cover Map 2022\n - Land Cover Map 2023\n - Land Cover Map 2024\n\nEach version is available in several different products which vary in their level of detail and spatial resolution. \n\nThe most recent Land Cover Maps release is Land Cover Map 2024 (LCM2024).\n\nIn 2019, LCM 1990 was revised to cover the whole of the UK (it previously covered only Great Britain) and to support comparisons with LCM 2015 and the newer products. Using the revised LCM 1990, quarter-century change datasets have been created by comparison with LCM 2015 - these are also available.\n\nIn addition, a one-off high-resolution 3m Land Cover Map is also available, using data from 2023.\n\nNOTE: These UKCEH products relate to  Land COVER, not Land USE.  Land cover describes the physical material on the surface, whereas Land Use describes how the material is used.  For example, land covered by grass could be used for grazing or sporting activities, or both. Land Cover is directly detectable from satellites, Land Use is not.","documentType":"GEMINI_DOCUMENT","identifier":"c0078881-7d5a-4641-91e2-c271426bc8a1","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","Land cover map","LCM","LCMGB","LCM2007","LCM2018","LCM2015","LCM2017","LCM2019","LCM2000","Dominant target class","Dominant aggregate class","Percentage target class","Percentage aggregate class","raster","vector","land parcel"],"keywordsOther":["Land cover map","LCM","LCMGB","LCM2007","LCM2018","LCM2015","LCM2017","LCM2019","LCM2000","Dominant target class","Dominant aggregate class","Percentage target class","Percentage aggregate class","Land cover","raster","vector","land parcel"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","metadataDate":"2026-07-28T08:34:33.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c0078881-7d5a-4641-91e2-c271426bc8a1"],"resourceType":"Aggregation","shortenedDescription":"Land cover maps describe the physical material on the surface of the country. For example grassland, woodland, rivers & lakes or man-made structures such as roads and buildings\n\nUKCEH Land Cover Maps are parcel-based thematic classifications of satellite image data…","state":"published","title":"Land Cover Maps","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr","jashun"]},{"authorAffiliation":["National University of Life and Environmental Sciences of Ukraine"],"authorFamilyName":["Levchuk","Holiaka","Pavlyuchenko"],"authorFullName":["Levchuk, S.E.","Holiaka, D.M.","Pavlyuchenko, V.V."],"authorGivenName":["S.E.","D.M.","V.V."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"A large area of the Chernobyl Exclusion Zone was affected by severe wildfires in April 2020. This dataset presents the results of a study conducted following the fire in September/October 2020 to measure the migration of 137Cs and 90Sr in soils collected from three study sites located within forested areas on the left bank of the Pripyat River within the Chornobyl Exclusion Zone.\n\nData comprise activity concentrations of 90Sr and 137Cs measured in soil samples. Soils were sampled layer-by-layer (0-10 cm, 10-20 cm, 20-30 cm, 40-50 cm, 50-60 cm, 60-70 cm, 70-80 cm, 80-90 cm, and 90-100 cm) from three locations at each of the three study sites. \nAt each of the three study sites, circular plots were established on September 21st 2020 and soil samples collected; the circular plots were of different sizes dependent upon tree density. On October 8th 2020 a tripod was installed at the centre of each study site; the plot coordinates were noted and information on the trees present recorded (diameter, height and condition (dead or alive)).\n\nThe dataset comprises two files. These files contain information on site and sampling locations, date of sampling, Cs-137 and Sr-90 activity concentration ((Bq kg-1) and analysis uncertainty (2-sigma)) in soil samples taken at 10cm intervals to a depth of 1 m, tree condition after wildfire (measured October 8th 2020); tree diameter (measured at a height of 1.3 m above ground level) and tree height (m).\n","documentType":"GEMINI_DOCUMENT","familyName":["Levchuk","Holiaka","Pavlyuchenko","Beresford"],"fullName":["Levchuk, S.E.","Holiaka, D.M.","Pavlyuchenko, V.V.","Beresford, N."],"givenName":["S.E.","D.M.","V.V.","Nick"],"identifier":"72c05810-eb66-49e1-9107-dec8cde3b07e","incomingCitationCount":0,"keyword":["Chernobyl","Chornobyl Exclusion Zone","Chornobyl","wildfire","Activity concentration","Cs-137","Sr-90","pine tree","Caesium-137","Strontium-90","soil profile","radionuclide","fire"],"keywordsOther":["wildfire","Activity concentration","Cs-137","Sr-90","pine tree","Caesium-137","Strontium-90","soil profile","radionuclide","fire"],"keywordsPlace":["Chernobyl","Chornobyl Exclusion Zone","Chornobyl"],"licence":"Open government licence","lineage":"At three study sites, circular plots were established and soil samples collected from three sampling points at each of the three sites. At each sampling point forest litter/ash and layer-by-layer soil samples were taken. The dry mass of each soil layer from one sampling point at each site was determined. The plot coordinates were noted and information on the trees present was recorded. \n\nFor all forest litter/ash and soil samples 137Cs activity concentrations were determined using a low-background gamma spectrometer and 90Sr activity concentrations were determined using a non-destructive, rapid and simple beta-spectrometric method. Quantification of the 90Sr activity concentration was obtained by calibrating the spectrometer with certified mono-radionuclide standards of 137Cs, 90Sr and 40K).\n\nData were supplied to UKCEH as MSExcel files to be prepared for publication. All data were supplied to EIDC as csv files.\n","locations":["POLYGON((29.537 50.654, 29.537 51.71, 31.453 51.71, 31.453 50.654, 29.537 50.654))"],"metadataDate":"2026-07-25T06:52:04.000Z","organisation":["National University of Life and Environmental Sciences of Ukraine","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/72c05810-eb66-49e1-9107-dec8cde3b07e","10.5285/72c05810-eb66-49e1-9107-dec8cde3b07e","doi:10.5285/72c05810-eb66-49e1-9107-dec8cde3b07e"],"resourceType":"Dataset","rightsHolder":["National University of Life and Environmental Sciences of Ukraine"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A large area of the Chernobyl Exclusion Zone was affected by severe wildfires in April 2020. This dataset presents the results of a study conducted following the fire in September/October 2020 to measure the migration of 137Cs and 90Sr in soils collected from three…","state":"published","supplementalDescription":["Holiaka, D.M., Levchuk, S.E,. Yoschenko, V.I., Kashparov, V.A., Yoschenko, L.V., Holiaka, M.A., Pavliuchenko, V.V., Diachuk, P.P.,  Zadorozhniuk, R.M.,  Morozova, V.S. 2020. 90Sr and 137Cs inventories in the depots and biogenic fluxes of the typical forest stands in the Chernobyl exclusion zone. Nucl. Phys. At. Energy, 21, 256-264."],"title":"Radionuclide distribution down soil profiles in the Chernobyl Exclusion Zone, 2020","version":1.0,"view":["public","margla"]},{"availability":"Unknown","catalogue":"eidc","description":"This aggregation consists of datasets collected as part of the Isle of May long-term study (IMLOTS) on the ecology of six seabird species breeding on the Isle of May National Nature Reserve, off the East coast of Scotland: black-legged kittiwake (Rissa tridactyla), Atlantic puffin (Fratercula arctica), common guillemot (Uria aalge), razorbill (Alca torda), European shag (Phalacrocorax aristotelis) and northern fulmar (Fulmarus glacialis). \n\nWe record survival rates, reproductive success, diet and foraging distribution during the breeding season. We also study distribution in winter through the support of over 150 volunteers, and by deploying data loggers for species that migrate far offshore.\n\nOur study aims to quantify the effect of climate change, fisheries and marine renewable developments on seabirds and their associated ecosystems. This monitoring has been ongoing since 1973, by the same team of scientists, using the same well-documented methods throughout this time. We recommend that these data are used after consultation with the appropriate UKCEH staff.","documentType":"GEMINI_DOCUMENT","familyName":["Daunt"],"fullName":["Daunt, F."],"givenName":["F."],"identifier":"8abcde28-83cd-4b6c-bb06-2102e076779c","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Non-Open government licence","lineage":"Data were collected by staff of the Institute for Terrestrial Ecology staff, led by Mike Harris, until 2000, when this organisation merged with several others to form the Centre for Ecology & Hydrology (CEH). The same research group has continued the work since then, first led by Sarah Wanless and then, from 2008, by Francis Daunt. Data are collected on adult return rates (an index of adult survival), reproductive success, diet and foraging distribution. The full methodologies are available in the contextual metadata, which can be found attached to each record. The Isle of May is a Key Site in the Joint Nature Conservation Committee's Seabird Monitoring Programme, and these data are quality checked by scientific staff as part of their preparation for presentation in annual reports to the JNCC. ","locations":["POLYGON((-2.568 56.179, -2.568 56.194, -2.544 56.194, -2.544 56.179, -2.568 56.179))"],"metadataDate":"2026-07-25T08:41:03.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2016-11-28T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8abcde28-83cd-4b6c-bb06-2102e076779c"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This aggregation consists of datasets collected as part of the Isle of May long-term study (IMLOTS) on the ecology of six seabird species breeding on the Isle of May National Nature Reserve, off the East coast of Scotland: black-legged kittiwake (Rissa tridactyla),…","state":"published","title":"The Isle of May long-term study (IMLOTS) ","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","dcmo"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Middlebrook","Harrower","Conway","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.","Conway, R.","Roy, D.B."],"authorGivenName":["M.S.","I.","C.","R.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"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 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","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.","Conway, R.","Roy, D.B."],"funder":["Natural Environment Research Council","Butterfly Conservation","Joint Nature Conservation Committee"],"givenName":["M.S.","I.","C.","R.","D.B."],"grant":["NE/R016429/1"],"identifier":"bdffdd79-7744-4d48-9f4f-d77a3ab98573","incomingCitationCount":0,"keyword":["Biodiversity","Monitoring and observation systems","England","Northern Ireland","Scotland","UK-SCAPE","Wales","butterfly"],"keywordsOther":["Monitoring and observation systems","England","Northern Ireland","Scotland","UK-SCAPE","Wales","butterfly"],"keywordsTheme":["Biodiversity"],"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))"],"metadataDate":"2026-07-25T13:00:04.000Z","orcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","NERC EDS Environmental Information Data Centre","Natural Environment Research Council","British Trust for Ornithology","Joint Nature Conservation Committee"],"publicationDate":"2023-12-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bdffdd79-7744-4d48-9f4f-d77a3ab98573","10.5285/bdffdd79-7744-4d48-9f4f-d77a3ab98573","doi:10.5285/bdffdd79-7744-4d48-9f4f-d77a3ab98573"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","Natural Environment Research Council","British Trust for Ornithology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"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…","state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: site indices 2022","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","Mackay","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","Mackay, E.B.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["Heidrun","B.A.","H.","A.G.","K.","E.B.","G.","S.J."],"authorOrcid":["0000-0002-2028-4843","0000-0001-7038-9881","0000-0003-0488-3843","0000-0003-3274-2706"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Tarn in Cumbria, England. 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. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), 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 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. All data are from January 2023 until the end of 2023.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","Mackay","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","Mackay, E.B.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["Heidrun","B.A.","H.","A.G.","K.","E.B.","G.","S.J."],"grant":["NE/R016429/1","NE/Y006208/1"],"identifier":"73108b81-bb17-48be-b50f-bbf47ed001ce","incomingCitationCount":0,"keyword":["Lake District","Climate and climate change","Environmental survey","Water quality","dissolved oxygen","Lake monitoring","lake water chemistry","lake water temperature","phytoplankton","Secchi depth","alga","lake"],"keywordsOther":["dissolved oxygen","Lake monitoring","lake water chemistry","lake water temperature","phytoplankton","Secchi depth","alga","lake"],"keywordsPlace":["Lake District"],"keywordsTheme":["Climate and climate change","Environmental survey","Water quality"],"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 for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortage.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2.\n","locations":["POLYGON((-2.993 54.348, -2.993 54.37, -2.978 54.37, -2.978 54.348, -2.993 54.348))"],"metadataDate":"2026-07-25T06:52:16.000Z","orcid":["0000-0002-2028-4843","0000-0001-7038-9881","0000-0003-0488-3843","0000-0003-3274-2706"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/73108b81-bb17-48be-b50f-bbf47ed001ce","10.5285/73108b81-bb17-48be-b50f-bbf47ed001ce","doi:10.5285/73108b81-bb17-48be-b50f-bbf47ed001ce"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Tarn in Cumbria, England. The data available to download comprise surface…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2023","topic":["0/Climate and climate change/","0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["National Institute of Amazonian Researches","Nanyang Technological University","University of Exeter"],"authorFamilyName":["Moraes","Quesada","Andersen","Hartley","Martins"],"authorFullName":["Moraes, A.C.M.","Quesada, C.A.","Andersen, K.","Hartley, I.P.","Martins, M.P."],"authorGivenName":["A.C.M.","C.A.","K.","I.P.","M.P."],"authorOrcid":["0000-0002-1460-9904","0000-0002-9183-6617"],"authorRor":["https://ror.org/01xe86309","https://ror.org/02e7b5302","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of litterfall production in a fertilised old growth forest in Central Amazon. Data was collected in a full factorial nutrient addition experiment (nitrogen, phosphorus and cation treatments). Within each plot we have installed five litter traps of 50 cm x 50 cm, 1 m above ground, occupying an area of 1.25 m2 per plot, and ensuring litter reaching the trap was produced within the experimental plot area. \nThe study was funded by NERC, BDFFP (logistical support) and the Brazilian government (students scholarship).","documentType":"GEMINI_DOCUMENT","familyName":["Moraes","Quesada","Andersen","Hartley","Martins"],"fullName":["Moraes, A.C.M.","Quesada, C.A.","Andersen, K.","Hartley, I.P.","Martins, M.P."],"givenName":["A.C.M.","C.A.","K.","I.P.","M.P.","Anna Carolina Martins"],"identifier":"c0294ec9-45d6-464c-b543-ce9ece9fd968","incomingCitationCount":0,"keyword":["Brazil","Central Amazon","Environmental survey"],"keywordsPlace":["Brazil","Central Amazon"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The study was carried at the AFEX project (Amazon fertilization Experiment) area at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA) located approximately 80 km north of Manaus/Amazonas/Brazil (02° 25' 00'' S; 59° 43' 00' W).\n The spreadsheet contains on catch order, census number, plot identification, Littertraps identification, leaves, woody material, reproductive material, residues, frass, year, month and day of collection.  The samples were collected over the course of two years (July 2017 to July 2019) after fertilisation commenced, in the AFEX project area at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). \nSee supporting documentation for further details\n\n","locations":["POLYGON((-60 -2.5, -60 -2, -59 -2, -59 -2.5, -60 -2.5))"],"metadataDate":"2026-07-25T13:59:45.000Z","orcid":["0000-0002-1460-9904","0000-0002-9183-6617"],"organisation":["National Institute of Amazonian Researches","Nanyang Technological University","University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c0294ec9-45d6-464c-b543-ce9ece9fd968","10.5285/c0294ec9-45d6-464c-b543-ce9ece9fd968","doi:10.5285/c0294ec9-45d6-464c-b543-ce9ece9fd968"],"resourceType":"Dataset","ror":["https://ror.org/01xe86309","https://ror.org/02e7b5302","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of litterfall production in a fertilised old growth forest in Central Amazon. Data was collected in a full factorial nutrient addition experiment (nitrogen, phosphorus and cation treatments). Within each plot we have installed five litter traps of…","state":"published","title":"Fine litterfall production and nutrient composition data from a fertilized site in Central Amazon, Brazil","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2023 (note that 2017 was a pilot year and has less data than subsequent years).\n\nThe \"public\" FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes.\n\nThe \"1 km square\" FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country.\n\nUK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2023: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Buglife, Hymettus, Natural History Museum, the University of Reading and University of Leeds.\n\nPoMS Steering Group members up to 2023 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, and National Biodiversity Network.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme","Robin Hutchinson"],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs","Scottish Government","Welsh Government","Joint Nature Conservation Committee","Department of Agriculture, Environment and Rural Affairs for Northern Ireland","UK Centre for Ecology & Hydrology"],"grant":["NE/Y006208/1"],"identifier":"d706088c-9d48-4be5-b156-6ed6ad5e0618","incomingCitationCount":0,"keyword":["Biodiversity","Pollinators","Ecosystem services","citizen science","insect","biological monitoring","biotic interactions","bee","beetle","dipteran","butterfly","environmental monitoring"],"keywordsOther":["citizen science","insect","biological monitoring","biotic interactions","bee","beetle","dipteran","butterfly","environmental monitoring"],"keywordsTheme":["Biodiversity","Pollinators","Ecosystem services"],"licence":"Open government licence","lineage":"Public FIT Counts are carried out at locations and dates chosen by the participants, at any time when weather conditions are suitable between 1 April and 30 September each year. A set of fourteen target flower types is provided, but participants are free to choose a different flower if a target species is not available. Guidance is provided to participants on how to select a suitable location and position a quadrat, and on how to identify the insect group categories when counting visiting insects.\n\nOne km square FIT Counts follow the same methodology for the ten-minute count, but take place in up to 95 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month.\n\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided of the target flowers, and these are corrected where the original identification is not correct. Participants can optionally add photos to show examples of the insect groups that they have seen and counted, although these photos should not be taken during the count itself (so as to avoid disturbing visiting insects) so cannot be corrected in the same way. The data is then passed through a QA process in R (code available in the metadata) to detect and resolve any errors in the dataset, or highlight where the methodology was not followed.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:21:06.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Joint Nature Conservation Committee"],"publicationDate":"2026-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d706088c-9d48-4be5-b156-6ed6ad5e0618","10.5285/d706088c-9d48-4be5-b156-6ed6ad5e0618","doi:10.5285/d706088c-9d48-4be5-b156-6ed6ad5e0618"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2023…","state":"published","title":"Flower-Insect Timed Count data from the UK Pollinator Monitoring Scheme, 2017-2023","topic":["0/Biodiversity/","0/Pollinators/","0/Ecosystem services/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["National Institute of Amazonian Researches, Brazil ","Nanyang Technological University","University of Exeter"],"authorFamilyName":["Cunha","Quesada","Andersen","Hartley"],"authorFullName":["Cunha, H.F.V.","Quesada, C.A.","Andersen, K.","Hartley, I.P."],"authorGivenName":["H.F.V.","C.A.","K.","I.P."],"authorOrcid":["0000-0002-1460-9904","0000-0002-9183-6617"],"authorRor":["https://ror.org/02e7b5302","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains the leaf area index (LAI) (m2/ m2 ) collected with the LAI-2200 C (plant canopy analyzer), that was computed with 5, 4 and 3 rings using the FV2200 software. Additionally, it has the x and y coordinates (m) of the points collected inside the plots and the time of collection (hour: min: sec).  \n\nThis research was collected in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil.\n\nThe campaigns were carried out in October 2017, March 2018, August 2018 and October 2018.","documentType":"GEMINI_DOCUMENT","familyName":["Cunha","Quesada","Andersen","Hartley"],"fullName":["Cunha, H.F.V.","Quesada, C.A.","Andersen, K.","Hartley, I.P."],"givenName":["H.F.V.","C.A.","K.","I.P.","Hellen Fernanda Viana"],"identifier":"6e70665f-b558-4949-b42a-49fbaec7e7cc","incomingCitationCount":0,"keyword":["Central Amazon","leaf area index"],"keywordsOther":["leaf area index"],"keywordsPlace":["Central Amazon"],"licence":"Open government licence","lineage":"The points were collected in 36 points inside the plot with the LAI -2200 C (plant canopy analyzer) . The data were collected from 6 am to 5 pm, avoiding recording data between 12:00 and 2:00 pm, to avoid direct sun. The LAI-2200 C requires an above canopy reading for reference, and in our case the optical sensor was placed in a clearing to log automatically while the user operator collected manually below the canopy. The sensors were always placed in the same compass direction ( both in the west in the morning and east in the afternoon). We used a view cap of 45 °C in the sensors to remove the operator from the sensor’s view. The sensors were matched before the data collection, as recommended in the manual.\n\nThe row data were analysed using the FV2200 software, where LAI was obtained (m2 one sided foliage area/ m2 ground area), that was computed with 5, 4 and 3 rings, and each ring respond over a different range of zenith angles.","locations":["POLYGON((-60.346 -2.33, -60.346 -0.907, -58.991 -0.907, -58.991 -2.33, -60.346 -2.33))"],"metadataDate":"2026-07-25T06:49:27.000Z","orcid":["0000-0002-1460-9904","0000-0002-9183-6617"],"organisation":["National Institute of Amazonian Researches, Brazil ","Nanyang Technological University","University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6e70665f-b558-4949-b42a-49fbaec7e7cc","10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc","doi:10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc"],"resourceType":"Dataset","ror":["https://ror.org/02e7b5302","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains the leaf area index (LAI) (m2/ m2 ) collected with the LAI-2200 C (plant canopy analyzer), that was computed with 5, 4 and 3 rings using the FV2200 software. Additionally, it has the x and y coordinates (m) of the points collected inside the plots…","state":"published","title":"Leaf area index (LAI) in fertilised plots in the Central Amazon, 2017-2018","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University","Atkins Realis","Bristol University"],"authorFamilyName":["Mackay","Feuchtmayr","Thackeray","Callaghan","Marshall","Rhodes","Yates","Johnes","Maberly"],"authorFullName":["Mackay, E.B.","Feuchtmayr, H.","Thackeray, S.J.","Callaghan, N.","Marshall, M.","Rhodes, G.","Yates, C.","Johnes, P.J.","Maberly, S.C."],"authorGivenName":["E.B.","H.","S.J.","N.","M.","G.","C.","P.J.","S.C."],"authorOrcid":["0000-0001-5697-7062"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/05fehs989"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are from bioassay experiments from 25 river sites across Great Britain to investigate the growth response of river phytoplankton to different inorganic and organic nutrient additions and compare that to in situ nutrient concentrations. The data includes calculated growth responses to inorganic and organic nutrient additions, based on experimental incubations and background nutrient data collected from sites at the same time as water for the experimental incubations. ","documentType":"GEMINI_DOCUMENT","familyName":["Mackay","Feuchtmayr","Thackeray","Callaghan","Marshall","Rhodes","Yates","Johnes","Maberly"],"fullName":["Mackay, E.B.","Feuchtmayr, H.","Thackeray, S.J.","Callaghan, N.","Marshall, M.","Rhodes, G.","Yates, C.","Johnes, P.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["E.B.","H.","S.J.","N.","M.","G.","C.","P.J.","S.C."],"grant":["NE/K010603/1"],"identifier":"3ca94e73-57dc-4fcd-afe2-82a4e491970a","incomingCitationCount":0,"keyword":["Great Britain","Water quality","Bioassay","Organic nutrients","River phytoplankton","Nutrient limitation","DOMAINE","nutrient","phytoplankton"],"keywordsOther":["Bioassay","Organic nutrients","River phytoplankton","Nutrient limitation","DOMAINE","nutrient","phytoplankton"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Raw water samples were collected at each site on a single sampling occasion and kept at 4°C in the dark and transported to the laboratory within 48 hours. They were acclimatised in a constant temperature room at 20°C. Water was filtered through a 100 µm mesh to remove any zooplankton or large detritus present, 35 mL of sample was transferred to 50 mL boiling tubes. 12 different nutrient treatments were applied at approximately Redfield ratio [N: 90 µmol L-1 (1.261 mg N L-1) and P: 6 µmol L-1 (0.186 mg P L-1)] in triplicate to quantify growth responses to both organic N and P. These included: 1) a control with no addition of nutrients, 2) inorganic N only, 3) inorganic P only and 4) inorganic N and P, 5-8) four organic N additions and 9- 12) four organic P additions. Tubes were stoppered with foam bungs enabling gas exchange and incubated for 14 days at 20°C under a photon irradiance of 80 – 120 µmol m-2 s-1 (photosynthetically available radiation, Macam Q102) and an 18 h light, 6 h dark cycle.  After the incubation period, tube contents including biofilm were resuspended by scraping and vortex mixing before being filtered onto a Whatman GF/C glass fibre filter (nominal pore size 1.2 µm) and frozen. Filters were later defrosted, and chlorophyll a extracted in hot methanol and measured spectrophotometrically. Growth response was determined as a change in the concentration of chlorophyll a in the treatment relative to the relevant control calculated as a natural log response ratio. For the water chemistry data (measured in mg/L), a Skalar++ multi-channel continuous flow autoanalyzer (Skalar Analytical B.V., The Netherlands) was used to carry out inorganic nutrient analysis, including total and total dissolved N and P (TN or TP, TDN or TDP) following persulphate digestion of unfiltered and filtered (pre-leached 0.45 µm cellulose nitrate) samples respectively, and dissolved inorganic N (DIN), including total ammoniacal nitrogen (NH3 and NH4), or soluble reactive P (SRP) on filtered samples. Dissolved organic nitrogen (DON) and dissolved organic phosphorus (DOP), were determined by difference between TDN and DIN or TDP and SRP, respectively.\n\nData from these analyses were checked and entered into spreadsheets for later analysis.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:40:37.000Z","orcid":["0000-0001-5697-7062"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Atkins Realis","Bristol University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ca94e73-57dc-4fcd-afe2-82a4e491970a","10.5285/3ca94e73-57dc-4fcd-afe2-82a4e491970a","doi:10.5285/3ca94e73-57dc-4fcd-afe2-82a4e491970a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/05fehs989","https://ror.org/04xw4m193"],"shortenedDescription":"The data are from bioassay experiments from 25 river sites across Great Britain to investigate the growth response of river phytoplankton to different inorganic and organic nutrient additions and compare that to in situ nutrient concentrations. The data includes calculated…","state":"published","title":"River phytoplankton growth responses to organic nutrients with associated nutrient data from 25 rivers in GB","topic":["0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Keith","Astbury","Dodd","Emmett","Fitton","Garbutt","George","Marshall","Robinson","Williams","Wood"],"authorFullName":["Keith, A.M.","Astbury, S.","Dodd, B.A.","Emmett, B.A.","Fitton, A.","Garbutt, A.","George, P.","Marshall, R.","Robinson, D.A.","Williams, B.","Wood, C.M."],"authorGivenName":["A.M.","S.","B.A.","A.","P.","R.","D.A.","B.","C.M."],"authorOrcid":["0000-0001-9619-1320","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-7290-4867","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set includes counts of soil meso-fauna collected from topsoil within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  Meso-fauna include collembola (springtails) and acari (mites).  \n\nThe monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Astbury","Dodd","Emmett","Fitton","Garbutt","George","Marshall","Robinson","Williams","Wood"],"fullName":["Keith, A.M.","Astbury, S.","Dodd, B.A.","Emmett, B.A.","Fitton, A.","Garbutt, A.","George, P.","Marshall, R.","Robinson, D.A.","Williams, B.","Wood, C.M.","Keith, A."],"givenName":["A.M.","S.","B.A.","A.","P.","R.","D.A.","B.","C.M.","Aidan"],"identifier":"1c5cf317-2f03-4fef-b060-9eccbb4d9c21","incomingCitationCount":1,"keyword":["Wales","GMEP","Glastir Monitoring and Evaluation Programme","Environmental survey","Soil","Biodiversity","Phthiracaridae","Mesostigmatid","Poduromorpha","Entomobryomorpha","Symphypleona","Neelipleona"],"keywordsOther":["Phthiracaridae","Mesostigmatid","Poduromorpha","Entomobryomorpha","Symphypleona","Neelipleona"],"keywordsPlace":["Wales"],"keywordsProject":["GMEP","Glastir Monitoring and Evaluation Programme"],"keywordsTheme":["Environmental survey","Soil","Biodiversity"],"licence":"Open government licence","lineage":"Within each of 300 x 1km sample squares, a set of soil samples are taken from five pre-determined randomly dispersed locations (where possible).  The soil sample analysed for soil fauna is taken using a white plastic core (‘F-core’), 8cm long, from a location co-incident with vegetation surveys.\n\nAfter collection, the soil cores were posted as soon as possible to laboratories at the Centre for Ecology & Hydrology, Lancaster, for faunal extraction. \n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-07-24T19:16:44.000Z","orcid":["0000-0001-9619-1320","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-7290-4867","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c5cf317-2f03-4fef-b060-9eccbb4d9c21","10.5285/1c5cf317-2f03-4fef-b060-9eccbb4d9c21","doi:10.5285/1c5cf317-2f03-4fef-b060-9eccbb4d9c21"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set includes counts of soil meso-fauna collected from topsoil within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  Meso-fauna include collembola (springtails) and acari (mites). …","state":"published","supplementalDescription":["Website for Glastir Monitoring and Evaluation Programme","Website for the Welsh Environment and Rural Affairs Monitoring Programme (follow up project to GMEP) ","Website for the related national survey, Countryside Survey "],"supplementalName":["Glastir Monitoring and Evaluation Programme (GMEP) website","ERAMMP website","Countryside Survey website"],"title":"Topsoil meso-fauna data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2014","topic":["0/Environmental survey/","0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Cambridge"],"authorFamilyName":["Flowerdew","Amano","Sutherland"],"authorFullName":["Flowerdew, J.R.","Amano, T.","Sutherland, W.J."],"authorGivenName":["J.R.","T.","W.J."],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes 35 years of 6-monthly population sampling of adult and juvenile bank voles Myodes glareolus and wood mice Apodemus sylvaticus in a Derbyshire Ash Fraxinus excelsior woodland, together with annual and seasonal ash fruit-fall and a measure of winter severity. Additional data describe a 4 year experiment on a nearby study area where in two winters supplementary ash fruit were supplied and population data collected in parallel to the main study area. Woodland small mammal population dynamics are commonly influenced by variable food supplies (due to masting), climate and population density. However, the effects of precise environmental variables are poorly understood. To explain between-year variations in bank vole and wood mouse reproductive/population growth rates, we applied a state-space model to 33 years of live-trapping data. Experimental additions of ash fruit in winter aided interpretation. ","documentType":"GEMINI_DOCUMENT","familyName":["Flowerdew","Amano","Sutherland"],"fullName":["Flowerdew, J.R.","Amano, T.","Sutherland, W.J.","Flowerdew, J."],"givenName":["J.R","J.R.","T.","W.J.","John"],"identifier":"80ee4e00-7301-4c40-9dba-12dd0d21b7c7","incomingCitationCount":1,"keyword":["Animal behaviour","Myodes glareolus","Apodemus sylvaticus"],"keywordsOther":["Myodes glareolus","Apodemus sylvaticus"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Numbers were estimated (May/June, November/December) by catch-mark-release live-trapping in an English ash woodland (0.45 ha) and fruit-fall (September-March/April) measured. December-March mean minimum daily temperature represented winter severity. Total marked adult mice/voles provided density indices validated against a model-generated population estimate; this allowed estimation of the structure of a time-series model and the demographic impacts of climatic/biological variables. Juveniles were similarly assessed in May/June. In two winters of insignificant fruit-fall 6.79 gm-2 edible heat-treated ash seed (as fruits) was distributed over 0.45 ha of similar nearby woodland live-trapped in parallel. Population data for bank voles Myodes glareolus and wood mice Apodemus sylvaticus were generated from live-trapping samples (90 Longworth traps at 30 (6 x 5) points in groups of 3) taken over two days of trapping (following 2 days of pre-baiting) carried out at approximately 6-monthly intervals from early December 1971 to late November 2005. Modelling: To explain between-year variations in bank vole and wood mouse reproductive and population growth rates, we applied a state-space model to 33 years of live-trapping data. Total marked adult mice/voles provided density indices validated against a model-generated population estimate; this allowed estimation of the structure of a time-series model and the demographic impacts of climatic/biological variables. Juveniles were similarly assessed in May/June. Daily Minimum Temperature records (December- March) from Buxton Met Station were supplied by BDS (contract to JRF). Mean minimum daily temperature from December to March inclusive was taken as an index of winter severity. Fruitfall of Fraxinus excelsior on the 0.45 has study area was measured annually (1971-2005) as g-2 dry weight edible seed over the period September-March or April (depending on whether fruit remained on the trees after March) by collections at about 6-week intervals. The annual total fruits collected in 20 regularly spaced dustbins (total area 3.32 m2) was divided for analysis into Sept-December and December-March/April sub-totals. Dustbins had internal conical nets, allowing the fruit to be protected from predators until removed. Fruits were separated from plant debris and edible (unparasitised)seeds were then removed from the pericarp (wing), counted, dried at 80degreesC to constant weight and combined as a total annual sample or two sub-totals as above as g (dry weight ash seed)m-2 . Experimental addition of supplementary ash fruit. From October to March 1981-82 and 1984-85, (years of negligible natural fruit-fall) 60 kg of heat-sterilized ash fruit (pericarps treated at 80 degrees C for 2 days) were distributed in the same monthly proportions observed in 1966-7 (Gardner 1977). Fruits were scattered fortnightly at the 5 x 4 (20) intermediate points 7.5 m from the nearest trapping points within a 6 x 5 point 0.45 ha grid, similar to, and circa 150m west of, the main (control) study area. Assuming the fruits were effectively scattered they provided 6.79 gm-2 of edible ash seed, just below the two highest fruitings recorded from 1971-81. This experimental grid was live-trapped at the same intervals as the main study area from December 1981 to June 1985 so that the dynamics with additional ash fruit (1981-82, 1984-85) and without it (1982-83, 1983-84) could be compared with the dynamics on the main (control) study area. ","locations":["POLYGON((-1.776 53.176, -1.776 53.196, -1.666 53.196, -1.666 53.176, -1.776 53.176))"],"metadataDate":"2026-07-25T08:35:47.000Z","organisation":["University of Cambridge","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1427194525815","CEH:EIDC::1427194525815","https://catalogue.ceh.ac.uk/id/80ee4e00-7301-4c40-9dba-12dd0d21b7c7","10.5285/80ee4e00-7301-4c40-9dba-12dd0d21b7c7","doi:10.5285/80ee4e00-7301-4c40-9dba-12dd0d21b7c7"],"resourceType":"Dataset","ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes 35 years of 6-monthly population sampling of adult and juvenile bank voles Myodes glareolus and wood mice Apodemus sylvaticus in a Derbyshire Ash Fraxinus excelsior woodland, together with annual and seasonal ash fruit-fall and a measure of winter…","state":"published","title":"Small rodent dynamics at Lathkill Dale SSSI, Derbys, 1971- 2005","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Universiti Putra Malaysia","University of Cambridge","Wild Asia","IPB University, Bogor","Sinar Mas Agro Resources and Technology Research Institute","UK Centre for Ecology & Hydrology","IPB University","University of Oxford","Nottingham University"],"authorFamilyName":["Azhar","Wan Zaki","Harianja","Stone","Barrock","Buchori","Caliman","Drewer","Hidayat","Howlett","Siti Zulaikah","Jones","Luke","Naim","Popkin","Reiss-Woolever","Turner"],"authorFullName":["Azhar, B.","Wan Zaki, W.M.","Harianja, M.F.","Stone, J.","Barrock, I.","Buchori, D.","Caliman, J.","Drewer, J.","Hidayat, P.","Howlett, K.","Siti Zulaikah, A.J.","Jones, J.A.","Luke, S.H.","Naim, M.","Popkin, M.","Reiss-Woolever, V.J.","Turner, E.C."],"authorGivenName":["B.","W. M.","M.F.","J.","I.","D.","J-P.","P.","K.","A.J.","J.A.","S.H.","M.","V.J.","E.C."],"authorOrcid":["0000-0002-9607-6151","0000-0003-2151-4353","0000-0002-2843-0737","0000-0002-6263-6341","0000-0001-9507-6275","0000-0002-1020-9161","0000-0002-7331-7485","0000-0002-8335-5960","0000-0001-9508-171X","0000-0002-6905-4387","0000-0003-2715-2234"],"authorRor":["https://ror.org/02e91jd64","https://ror.org/013meh722","https://ror.org/05smgpd89","https://ror.org/00pggkr55","https://ror.org/052gg0110","https://ror.org/01ee9ar58"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes results from social and environmental surveys of 27 oil palm smallholders and farms in Selangor, Malaysia. Environmental data includes: information on size of plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy density, epiphyte cover, soil pH, soil moisture, palm herbivory and palm health. Social data includes information (all anonymised) on: plot area, number of palms, sociodemographic data, plantation management practices applied, knowledge and value assigned to wildlife, and yield. Data were collected from March to September 2022.","documentType":"GEMINI_DOCUMENT","familyName":["Azhar","Wan Zaki","Harianja","Stone","Barrock","Buchori","Caliman","Drewer","Hidayat","Howlett","Siti Zulaikah","Jones","Luke","Naim","Popkin","Reiss-Woolever","Turner"],"fullName":["Azhar, B.","Wan Zaki, W.M.","Harianja, M.F.","Stone, J.","Barrock, I.","Buchori, D.","Caliman, J.","Drewer, J.","Hidayat, P.","Howlett, K.","Siti Zulaikah, A.J.","Jones, J.A.","Luke, S.H.","Naim, M.","Popkin, M.","Reiss-Woolever, V.J.","Turner, E.C."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["B.","W. M.","M.F.","J.","I.","D.","J-P.","P.","K.","A.J.","J.A.","S.H.","M.","V.J.","E.C."],"grant":["BB/T012366/1"],"identifier":"81b02484-a87e-4a49-baba-678654059091","incomingCitationCount":0,"keyword":["Selangor","Banting","oil palm","smallholder","environment","soil","vegetation","crop","social"],"keywordsOther":["Selangor","Banting","oil palm","smallholder","environment","soil","vegetation","crop","social"],"licence":"Open government licence","lineage":"Environmental and social data were collected in a series of field campaigns, led by researchers from Universiti Putra Malaysia (UPM) and supported by University of Cambridge. \n\nEnvironmental data collection methods included visual inspection of plots to record cover of different crop types, and using handheld GPS units to record plantation boundaries and size of plantations. At four points distributed across the plantation and separated by 20m, we also made direct measurements of vegetation, palm and soil characteristics. These included field readings of canopy openness using a convex spherical densiometer, direct measures of vegetation height and cover (into categories by eye within a 3m x3m area), and field measures of soil pH and moisture using a Suplong probe. We also scored height, health, % epiphyte cover on the trunk, and level of herbivory by eye on the closest palm to each point. We also measured leaf litter depth.\n\nSocial data were collected through face to face interviews with smallholders, at a time convenient to the smallholders. Ethical permission for interviews were gained from the University of Cambridge Department of Psychology ethics board before work took place, no information was withheld from participants and full written consent was obtained in advance.\n\nData were entered digitally by field teams and returned to the University of Cambridge for quality and error checking, and to ensure a standard format.\n","locations":["POLYGON((101.282 2.387, 101.282 3.038, 101.861 3.038, 101.861 2.387, 101.282 2.387))"],"metadataDate":"2026-07-25T08:36:17.000Z","orcid":["0000-0002-9607-6151","0000-0003-2151-4353","0000-0002-2843-0737","0000-0002-6263-6341","0000-0001-9507-6275","0000-0002-1020-9161","0000-0002-7331-7485","0000-0002-8335-5960","0000-0001-9508-171X","0000-0002-6905-4387","0000-0003-2715-2234"],"organisation":["Universiti Putra Malaysia","University of Cambridge","Wild Asia","IPB University, Bogor","Sinar Mas Agro Resources and Technology Research Institute","UK Centre for Ecology & Hydrology","IPB University","University of Oxford","Nottingham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/81b02484-a87e-4a49-baba-678654059091","10.5285/81b02484-a87e-4a49-baba-678654059091","doi:10.5285/81b02484-a87e-4a49-baba-678654059091"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/02e91jd64","https://ror.org/013meh722","https://ror.org/05smgpd89","https://ror.org/00pggkr55","https://ror.org/052gg0110","https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes results from social and environmental surveys of 27 oil palm smallholders and farms in Selangor, Malaysia. Environmental data includes: information on size of plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy…","state":"published","title":"Socioecological data from smallholder oil palm plantations in Selangor, Peninsular Malaysia, 2022","version":1.0,"view":["public","margla"]},{"authorAffiliation":["The Game Conservancy Trust"],"authorFamilyName":["Sage"],"authorFullName":["Sage, R."],"authorGivenName":["Rufus"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Ecological field data for a variety of biodiversity indicators were collected from commercial fields of both crops. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Future policies are likely to encourage more land use under energy crops: principally willow, grown as short rotation coppice, and a tall exotic grass Miscanthus. These crops will contribute to the UK's commitment to reduce CO2 emissions. However, it is not clear how decisions about appropriate areas for growing the crops, based on climate, soil and water, should be balanced against impacts on the landscape, social acceptance, biodiversity and the rural economy. This project integrated social, economic, hydrological and biodiversity studies in an interdisciplinary approach to assessing the impact of converting land to Miscanthus grass and short-rotation coppice (SRC) willows. Two contrasting farming systems were focused on: the arable-dominated East Midlands; and grassland-dominated South West England. Ecological field data for a variety of biodiversity indicators were collected from commercial fields of both crops. The public attidues questionnaire data from this study are available at the UK Data Archive under study number 6615 (see Supplemental). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Karp","Sage"],"fullName":["Karp, A.","Sage, R."],"funder":["Economic and Social Research Council"],"givenName":["Angela","Rufus"],"grant":["RES-227-25-0020"],"identifier":"70b0258a-a903-4a7e-8588-1481af7b4dc7","incomingCitationCount":0,"keyword":["Rural Economy and Land Use Programme (RELU)","Impacts of increasing land use under energy crops","Land use"],"keywordsProject":["Rural Economy and Land Use Programme (RELU)","Impacts of increasing land use under energy crops"],"keywordsTheme":["Land use"],"licence":"Non-Open government licence","lineage":"Biodiversity data consists of plant and invertebrate species/taxonomic group count data from 15 fields of SRC willows and 17 fields of Miscanthus. Indicators were sampled from positions around the edges of the crops and at various distances into the crop itself. Plant indicators were recorded as counts in quadrats, whereas invertebrate indicators were sampled using transect, suction-sampler or sticky trap, as appropriate for each indicator group. The ESRC award page (see Supplemental) hosts a publication (Haughton et al. 2009) which describes the collection of the biodiversity data set in more detail. Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0020","locations":["POLYGON((-4.262 51.371, -4.262 54.775, 1.077 54.775, 1.077 51.371, -4.262 51.371))"],"metadataDate":"2026-07-25T06:51:00.000Z","organisation":["Rothamsted Research","The Game Conservancy Trust","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-12-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1291048737180","CEH:EIDC::1291048737180","https://catalogue.ceh.ac.uk/id/70b0258a-a903-4a7e-8588-1481af7b4dc7"],"resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"Ecological field data for a variety of biodiversity indicators were collected from commercial fields of both crops. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Future policies are likely to encourage more land use under energy crops: principally…","state":"published","supplementalDescription":["Further information about the \"Impacts of Increasing Land Use under Energy Crops\" dataset in general from the RELU UK Data Archive website."],"supplementalName":["ESDS catalogue record and data access","RELU Knowledge Portal page"],"title":"Impacts of increasing land use under energy crops - ecology data, 2006-2009","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Exeter","James Cook University","UK Met Office","UK Centre for Ecology & Hydrology","National Research Council of Italy","University of Sheffield","University of Campinas"],"authorFamilyName":["Cheesman","Brown","Farha","Rosan","Folberth","Hayes","Moura","Paoletti","Hoshika","Osborne","Cernusak","Ribeiro","Sitch"],"authorFullName":["Cheesman, A.W.","Brown, F.","Farha, M.N.","Rosan, T.M.","Folberth, G.A.","Hayes, F.","Moura, B.B.","Paoletti, E.","Hoshika, Y.","Osborne, C.P.","Cernusak, L.A.","Ribeiro, R.V.","Sitch, S."],"authorGivenName":["A.W.","F.","M.N.","T.M.","G.A.","B.B.","E.","Y.","C.P.","L.A.","R.V.","S."],"authorOrcid":["0000-0003-3931-5766","0009-0008-8478-520X","0000-0002-3906-8593","0000-0003-0155-1739","0000-0002-1075-440X","0000-0002-1037-5725","0000-0001-5324-7769","0000-0002-5263-2945","0000-0002-7423-3718","0000-0002-7575-5526","0000-0002-1148-6777","0000-0003-1821-8561"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/04gsp2c11","https://ror.org/01ch2yn61","https://ror.org/00pggkr55","https://ror.org/04zaypm56","https://ror.org/05krs5044","https://ror.org/04wffgt70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements of plant biomass and leaf-level functional traits from sugarcane plants of four different genotypes that were grown under different ozone (O3) conditions in Open Top Chambers for approximately 90 days. It also contains the calculated phytotoxic ozone dose for each of the four genotypes, the O3 concentration measurements and the environmental conditions (air temperature, relative humidity, and photosynthetically active radiation). The four genotypes tested were: Saccharum officinarum L. cv. Badila, Saccharum spontaneum cv. Mandalay, Q240, and CTC4.","documentType":"GEMINI_DOCUMENT","familyName":["Cheesman","Brown","Farha","Rosan","Folberth","Hayes","Moura","Paoletti","Hoshika","Osborne","Cernusak","Ribeiro","Sitch"],"fullName":["Cheesman, A.W.","Brown, F.","Farha, M.N.","Rosan, T.M.","Folberth, G.A.","Hayes, F.","Moura, B.B.","Paoletti, E.","Hoshika, Y.","Osborne, C.P.","Cernusak, L.A.","Ribeiro, R.V.","Sitch, S."],"funder":["Natural Environment Research Council"],"givenName":["A.W.","F.","M.N.","T.M.","G.A.","B.B.","E.","Y.","C.P.","L.A.","R.V.","S."],"grant":["NE/V008498/1"],"identifier":"68adb7d4-6138-4d70-b469-2471349b331a","incomingCitationCount":0,"keyword":["Pollution","ozone","C4 grasses","O3","sugarcane","air pollution","bioenergy"],"keywordsOther":["ozone","C4 grasses","O3","sugarcane","air pollution","bioenergy"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The sugarcane plants were grown in nine independently controlled and monitored Open Top Chambers at the joint University of Exeter and James Cook University (JCU) TropOz research facility located on the Nguma-bada campus of JCU in Cairns, Queensland, Australia. The O3 concentrations were measured approximately every 22 minutes using an ultraviolet UV absorption O3 analyser and environmental variables were monitored in the chambers using a single meteorological monitoring station.\n\nThe plants were harvested and oven dried to determine biomass production, and the biomass was partitioned into leaf, stalks and roots. The accumulated O3 flux into leaves was estimated using the Deposition of O3 for Stomatal Exchange (DO3SE) model (Version 3.1) parameterized using leaf-level gas-exchange data collected using a portable photosynthesis analyser. \n\nThese data were subject to standard data input and sense checking. \n","locations":["POLYGON((145.681 -16.818, 145.681 -16.814, 145.685 -16.814, 145.685 -16.818, 145.681 -16.818))"],"metadataDate":"2026-07-25T06:46:30.000Z","orcid":["0000-0003-3931-5766","0009-0008-8478-520X","0000-0002-3906-8593","0000-0003-0155-1739","0000-0002-1075-440X","0000-0002-1037-5725","0000-0001-5324-7769","0000-0002-5263-2945","0000-0002-7423-3718","0000-0002-7575-5526","0000-0002-1148-6777","0000-0003-1821-8561"],"organisation":["University of Exeter","James Cook University","UK Met Office","UK Centre for Ecology & Hydrology","National Research Council of Italy","University of Sheffield","University of Campinas","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/68adb7d4-6138-4d70-b469-2471349b331a","10.5285/68adb7d4-6138-4d70-b469-2471349b331a","doi:10.5285/68adb7d4-6138-4d70-b469-2471349b331a"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04gsp2c11","https://ror.org/01ch2yn61","https://ror.org/00pggkr55","https://ror.org/04zaypm56","https://ror.org/05krs5044","https://ror.org/04wffgt70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements of plant biomass and leaf-level functional traits from sugarcane plants of four different genotypes that were grown under different ozone (O3) conditions in Open Top Chambers for approximately 90 days. It also contains the calculated…","state":"published","title":"Plant biomass and leaf-level functional traits from four different genotypes of sugarcane plants grown under a range of ozone conditions","topic":["0/Pollution/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Saint Andrews","UK Centre for Ecology & Hydrology","University of Glasgow ","University of York","Bangor University"],"authorFamilyName":["Smeaton","Burden","Ruranska","Ladd","Garbutt","Jones","McMahon","Miller","Norris","Skov","Austin"],"authorFullName":["Smeaton, C.","Burden, A.","Ruranska, P.","Ladd, C.J.T.","Garbutt, A.","Jones, L.","McMahon, L.","Miller, L.C.","Norris, D.A.","Skov, M.W.","Austin, W.E.N."],"authorGivenName":["C.","A.","P.","C.J.T.","L.","L.C. ","D.A. ","M.W. ","W.E.N."],"authorOrcid":["0000-0003-4535-2555","0000-0002-7694-1638","0000-0001-6246-0203","0000-0001-5437-6474","0000-0002-9145-9786","0000-0002-4379-9006","0000-0003-0199-7108","0000-0003-2876-4312","0000-0001-8298-555X","0000-0002-7204-3865","0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/04m01e293","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"The geospatial dataset maps organic carbon (OC) storage (kg OC m-2) and OC stocks (tonnes OC) of surficial soils across 438 Great British saltmarshes. The OC density for the surficial soils (top 10 cm) is mapped across 451.65 km2 of saltmarshes, identified from current saltmarsh maps of Great Britain’s three constituent countries; Scotland, England and Wales The spatial maps are built upon surficial (top 10 cm) soil bulk density and carbon data produced by the NERC C-Side project and Marine Scotland data combined with existing saltmarsh vegetation maps.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Burden","Ruranska","Ladd","Garbutt","Jones","McMahon","Miller","Norris","Skov","Austin"],"fullName":["Smeaton, C.","Burden, A.","Ruranska, P.","Ladd, C.J.T.","Garbutt, A.","Jones, L.","McMahon, L.","Miller, L.C.","Norris, D.A.","Skov, M.W.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","A.","P.","C.J.T.","L.","L.C. ","D.A. ","M.W. ","W.E.N."],"grant":["NE/R010846/1"],"identifier":"cb8840f2-c630-4a86-9bba-d0e070d56f04","incomingCitationCount":1,"keyword":["Mapping","C-SIDE","cores","dry bulk density","substrate","storage","stock","United Kingdom","Scotland","England","Wales","soil","coastal area","wetland","blue carbon","sediment","salt marsh","intertidal zone","carbon","organic matter","organic carbon"],"keywordsOther":["C-SIDE","cores","dry bulk density","substrate","storage","stock","United Kingdom","Scotland","England","Wales","soil","coastal area","wetland","blue carbon","sediment","salt marsh","intertidal zone","carbon","organic matter","organic carbon"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"OC storage (kg OC m2) were calculated for each class of saltmarsh vegetation and marsh zone found in Great Britain using the OC content (% wt.) and dry bulk density (kg m-3) for saltmarsh soils were provide by the NERC C-Side project and Marine Scotland data. This data resource contains maps OC densities across 438 Great British saltmarshes. The mean OC storage of each NVC class/marsh zone was combined with the saltmarsh mapping of English, Scottish and Welsh saltmarshes to produce a bespoke GIS layers mapping the OC storage across Great British saltmarsh soils to a depth of 10 cm. Results were exported as shapefiles (.shp) for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:05:04.000Z","orcid":["0000-0003-4535-2555","0000-0002-7694-1638","0000-0001-6246-0203","0000-0001-5437-6474","0000-0002-9145-9786","0000-0002-4379-9006","0000-0003-0199-7108","0000-0003-2876-4312","0000-0001-8298-555X","0000-0002-7204-3865","0000-0001-6544-3468"],"organisation":["University of Saint Andrews","UK Centre for Ecology & Hydrology","University of Glasgow ","University of York","Bangor University","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cb8840f2-c630-4a86-9bba-d0e070d56f04","10.5285/cb8840f2-c630-4a86-9bba-d0e070d56f04","doi:10.5285/cb8840f2-c630-4a86-9bba-d0e070d56f04"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/04m01e293","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The geospatial dataset maps organic carbon (OC) storage (kg OC m-2) and OC stocks (tonnes OC) of surficial soils across 438 Great British saltmarshes. The OC density for the surficial soils (top 10 cm) is mapped across 451.65 km2 of saltmarshes, identified from current…","state":"published","title":"Spatial mapping of surficial soil organic carbon storage and stocks across Great British saltmarshes","topic":["0/Mapping/"],"version":1.0,"view":["public","margla"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map service (WMS) for the Land Cover Map 2024 at 1 kilometre resolution\n\nThe target data comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats.\n\nThe aggregate data ,groups some of the more specialised target classes into more general classes and comprises 10 classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"830ff9af-561b-4c4b-9919-4a7ff4f35ef5","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsOther":["infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T12:01:11.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-31T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/830ff9af-561b-4c4b-9919-4a7ff4f35ef5"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2024 at 1 kilometre resolution\n\nThe target data comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats.\n\nThe aggregate data ,groups some of the more specialised target classes into…","state":"published","title":"Land Cover Map 2024 1km web map service (WMS)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=3"}