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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":"2026-07-24T23:05:36.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Butterfly Monitoring Scheme","Centre for Ecology & Hydrology","Butterfly Conservation","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-09-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/560b320e-7859-449a-b565-f80e369ceb0a","10.5285/560b320e-7859-449a-b565-f80e369ceb0a","doi:10.5285/560b320e-7859-449a-b565-f80e369ceb0a"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). 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"],"supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2014","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Universidade do Estado do Mato Grosso ","Universidade do Estado de Mato Grosso","Universidade Federal Fluminense","Scottish Universities Environmental Research Centre","University of St Andrews","McMaster University","Universidade Federal de Santa Catarina"],"authorFamilyName":["Feldpausch","Aragão","Phillips","Marimon","Marimon-Júnior","Carvalho","Macario","Ascough","Honorio Coronado","Kalamandeen","Levis"],"authorFullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Marimon, B.S.","Marimon-Júnior, B.H.","Carvalho, L.C.","Macario, K.D.","Ascough, P.L.","Honorio Coronado, E.N.","Kalamandeen, M.","Levis, C."],"authorGivenName":["Ted R.","L.E.O.C.","O.L. ","B.S.","B.H. ","L.C.","K.D. ","P.L.","E.N.","M.","C."],"authorOrcid":["https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-4134-6708","https://orcid.org/0000-0002-8993-6168","https://orcid.org/0000-0003-3105-2914","https://orcid.org/0000-0002-6359-6281","https://orcid.org/0000-0002-8517-7993","https://orcid.org/0000-0002-0581-9854","https://orcid.org/0000-0001-6529-2903","https://orcid.org/0000-0003-2314-590X","https://orcid.org/0000-0001-5385-7444","https://orcid.org/0000-0002-8425-9479"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/02rjhbb08","https://ror.org/05jfq2w07","https://ror.org/02wn5qz54","https://ror.org/02fa3aq29","https://ror.org/041akq887"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains radiocarbon dating of pieces of macrocharcoal (~ ≥ 1 mm) collected from soil in Guyana, Peru and Brazil in plots located in the Amazon forest. All the sites are terra-firme, non-seasonally flooded and are part of the RAINFOR network. In total, 60 pieces of macrocharcoal were dated. \n\nThe Amazon Forest Inventory Network is a long-term, international collaboration to understand the dynamics of Amazon ecosystems. Since 2000 they have developed a framework for systematic monitoring of forests from the ground-up, centred on plots that track the fate of trees and species, and includes soil and plant biogeochemical records, as well as intensive monitoring of carbon cycle processes at some sites. RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists. The work of RAINFOR is currently supported by funding agencies in Brazil, the UK, and the EU.","documentType":"GEMINI_DOCUMENT","familyName":["Feldpausch","Aragão","Phillips","Marimon","Marimon-Júnior","Carvalho","Macario","Ascough","Honorio Coronado","Kalamandeen","Levis","Macario "],"fullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Marimon, B.S.","Marimon-Júnior, B.H.","Carvalho, L.C.","Macario, K.D.","Ascough, P.L.","Honorio Coronado, E.N.","Kalamandeen, M.","Levis, C.","Macario , K.D."],"funder":["Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Coordination for the Improvement of Higher Education Personnel, CAPES, Brazil)","Natural Environment Research Council"],"givenName":["Ted R.","L.E.O.C.","O.L. ","B.S.","B.H. ","L.C.","K.D. ","P.L.","E.N.","M.","C.","K.D."],"grant":["PVE177-2012","NE/N011570/1"],"identifier":"b06a08bc-39e5-4401-87dd-9568fd5048fd","incomingCitationCount":2,"keyword":["Amazon","14C","Radiocarbon dating","tropical forest","fire"],"keywordsOther":["14C","Radiocarbon dating","tropical forest","fire"],"keywordsPlace":["Amazon"],"licence":"Open government licence","lineage":"Charcoal fragments were collected from soil in terra-firme forest plots located in the Amazon forest in Guyana, Peru and Brazil. In each plot, a minimum of 3 pits 70 cm deep were opened just outside of the boundaries with 100 m between pits. In each pit, 4 pieces of charcoal were chosen based on the criteria: (i) analysing the sample nearest the surface from each pit, and (ii) splitting the soil profile into 5 cm depth increments and selecting the next three samples from progressively deeper depth intervals. Then, the charcoal pieces were pre-treat and dated by 14C radiocarbon dating using an Accelerator Mass Spectroscopy (AMS) at the NERC Radiocarbon Facility and AMS at the Physics Institute of Universidade Federal Fluminense, Niteroi, Brazil.","locations":["POLYGON((-73.63 -11.9, -73.63 5.02, -55.32 5.02, -55.32 -11.9, -73.63 -11.9))"],"metadataDate":"2026-07-25T12:53:08.000Z","orcid":["https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-4134-6708","https://orcid.org/0000-0002-8993-6168","https://orcid.org/0000-0003-3105-2914","https://orcid.org/0000-0002-6359-6281","https://orcid.org/0000-0002-8517-7993","https://orcid.org/0000-0002-0581-9854","https://orcid.org/0000-0001-6529-2903","https://orcid.org/0000-0003-2314-590X","https://orcid.org/0000-0001-5385-7444","https://orcid.org/0000-0002-8425-9479"],"organisation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Universidade do Estado do Mato Grosso ","Universidade do Estado de Mato Grosso","Universidade Federal Fluminense","Scottish Universities Environmental Research Centre","University of St Andrews","McMaster University","Universidade Federal de Santa Catarina","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b06a08bc-39e5-4401-87dd-9568fd5048fd","10.5285/b06a08bc-39e5-4401-87dd-9568fd5048fd","doi:10.5285/b06a08bc-39e5-4401-87dd-9568fd5048fd"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/02rjhbb08","https://ror.org/05jfq2w07","https://ror.org/02wn5qz54","https://ror.org/02fa3aq29","https://ror.org/041akq887","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains radiocarbon dating of pieces of macrocharcoal (~ ≥ 1 mm) collected from soil in Guyana, Peru and Brazil in plots located in the Amazon forest. All the sites are terra-firme, non-seasonally flooded and are part of the RAINFOR network. In total,…","state":"published","supplementalDescription":["RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists."],"supplementalName":["RAINFOR"],"title":"Radiocarbon dating of charcoal pieces from soil in intact forest permanent plots in the Amazon Basin, 2015-2019","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Strathclyde"],"authorFamilyName":["Majerczak","Liggat"],"authorFullName":["Majerczak, K.","Liggat, J.J."],"authorGivenName":["Katarzyna","J.J."],"authorOrcid":["https://orcid.org/0000-0003-4460-5178"],"authorRor":["https://ror.org/00n3w3b69"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains data recording kinetics of the spherulite growth in poly(hydroxybuterate)-based systems with various amounts of copolymer and additive (plasticiser and/or filler). The experiments were performed using polarised light microscopy. The experiments were conducted at the University of Strathclyde.","documentType":"GEMINI_DOCUMENT","familyName":["Majerczak","Liggat"],"fullName":["Majerczak, K.","Liggat, J.J."],"funder":["Natural Environment Research Council"],"givenName":["Katarzyna","J.J."],"grant":["NE/V010603/1"],"identifier":"1c2fe14e-0aa4-4f4a-b827-57b96deeda0d","incomingCitationCount":0,"keyword":["polarised light microscopy","Poly(hydroxybutyrate)","biodegradable plastics","plasticiser","filler","biodegradable pollutant"],"keywordsInstrument":["polarised light microscopy"],"keywordsOther":["Poly(hydroxybutyrate)","biodegradable plastics","plasticiser","filler","biodegradable pollutant"],"licence":"Open government licence","lineage":"The data was collected at the University of Strathclyde using a DinoLite polarised microscope connected to a PC, with an additional polariser in the setup and a heated stage. The powdered sample was placed between two round coverslips cleaned with ethanol, heated up at 180 °C and placed at a heated stage equilibrated at a given temperature. The data was collected as movies. Then, images of every given timeframe dependent on the temperature (e.g. 10 s) were obtained using a VLS media player. The images were then analysed using the ImageJ programme, with the radius of the spherulite at a particular time recorded. This data obtained spherulite growth rate as tangent at radius vs time graph. To ensure data reliability, the radius was consistently measured using the same angle, starting from the centre of the spherulite and extending towards its edges, while adjusting for the best possible contrast during the measurements.","metadataDate":"2026-07-24T19:16:34.000Z","orcid":["https://orcid.org/0000-0003-4460-5178"],"organisation":["University of Strathclyde","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c2fe14e-0aa4-4f4a-b827-57b96deeda0d","10.5285/1c2fe14e-0aa4-4f4a-b827-57b96deeda0d","doi:10.5285/1c2fe14e-0aa4-4f4a-b827-57b96deeda0d"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Strathclyde"],"ror":["https://ror.org/00n3w3b69","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains data recording kinetics of the spherulite growth in poly(hydroxybuterate)-based systems with various amounts of copolymer and additive (plasticiser and/or filler). The experiments were performed using polarised light microscopy. The experiments…","state":"published","title":"Kinetics data of spherulite growth in poly(hydroxybuterate)-based systems investigated using polarised light microscopy","version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"There are three datasets from a set of long running hedgerow experiments within this collection. The main dataset contains data on vegetation composition, flower counts, berry availability over winter, pollinators, invertebrates, and hedge structure and regrowth, and was collected between 2010 and 2016 although for one experiment there is data from 2005. There are two other datasets from Master's projects that focus on moth community data (in 2011) and plant community data from the basal area of the hedgerows (in 2016). \n\nThe hedgerow experiments had two linked aims focused on management to maintain and restore the hedgerow resource under the agri-environment schemes:\n - to examine the effects of simple cutting management regimes promoted by Entry Level Stewardship (ELS) and Higher Level Stewardship (HLS) on the quality and quantity of wildlife habitat, and food resources in hedgerows; and\n - to identify, develop and test low-cost, practical options for hedgerow restoration and rejuvenation applicable at the large-scale under both ELS and HLS.\n\nThere were three randomised plot experiments split over sites in Cambridgeshire, Oxfordshire, Buckinghamshire, Devon and Northamptonshire. The experiments were investigating the long-term effects of timing and frequency of cutting on resource provision for wildlife (experiment 1), the effect of timing, intensity and frequency of hedgerow cutting (experiment 2) and the effects of different rejuvenation techniques on hedgerows (experiment 3).\n\nThe research was funded by Defra (project number BD2114: Effects of hedgerow management and restoration on biodiversity) and managed by the UK Centre for Ecology & Hydrology (UKCEH).","documentType":"GEMINI_DOCUMENT","familyName":["Staley"],"fullName":["Staley, J."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["Joanna"],"grant":["BD2114"],"identifier":"11a5546b-6bbb-46a4-9e50-0437162b8c6c","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","hedge"],"keywordsOther":["hedge"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"All data were collected using standardised protocols developed for this research using existing published methods where possible. Data were collected by experienced field surveyors and ecologists. Species anomalies and lists were checked by experts to identify records that may be spurious. Data were collected on paper records and subsequently entered into Excel spreadsheets, prior to import into an Oracle database. Data were checked for anomalous values at time of data entry into Excel and import into the Oracle database. Data provided here have been exported from the database following various QA checks for locations, missing data and unexpected values. No other changes have been made to the data.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T19:07:58.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-09-17T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/11a5546b-6bbb-46a4-9e50-0437162b8c6c"],"resourceType":"Aggregation","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"There are three datasets from a set of long running hedgerow experiments within this collection. The main dataset contains data on vegetation composition, flower counts, berry availability over winter, pollinators, invertebrates, and hedge structure and regrowth, and…","state":"published","title":"Data from hedgerow management and biodiversity restoration experiments","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Rowland","O'Neil","Morton"],"authorFullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"authorGivenName":["C.","C.S.","A.W.","R.D."],"authorOrcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0003-3947-6463"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2021 products are available from the LCM2021 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Rowland","O'Neil","Morton"],"fullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"funder":["Natural Environment Research Council"],"givenName":["C.","C.S.","A.W.","R.D.","Chris"],"grant":["NE/R016429/1"],"identifier":"398dd41e-3c08-47f5-811f-da990007643f","incomingCitationCount":5,"keyword":["Land cover","Mapping","Biodiversity Action Plan","Great Britain","habitat","biodiversity","land cover"],"keywordsOther":["Biodiversity Action Plan","Great Britain","habitat","biodiversity","land cover"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2018 to 2020. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2021 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this dataset.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:39:03.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0003-3947-6463"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/398dd41e-3c08-47f5-811f-da990007643f","10.5285/398dd41e-3c08-47f5-811f-da990007643f","doi:10.5285/398dd41e-3c08-47f5-811f-da990007643f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets…","state":"published","title":"Land Cover Map 2021 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Cambridge","Imperial College London"],"authorFamilyName":["Nunes","Ewers","Turner","Coomes"],"authorFullName":["Nunes, M.H.","Ewers, R.M.","Turner, E.C.","Coomes, D.A."],"authorGivenName":["M.H.","R.M.","E.C.","D.A."],"authorRor":["https://ror.org/013meh722","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set provides above-ground carbon density derived from LiDAR data over oil palm plantations in the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo in 2014.  This includes the number of trees in plots and the average forest canopy per hectare at different heights.  Data were collected during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Nunes","Ewers","Turner","Coomes"],"fullName":["Nunes, M.H.","Ewers, R.M.","Turner, E.C.","Coomes, D.A.","Nunes, M."],"givenName":["M.H.","R.M.","E.C.","D.A.","Matheus"],"identifier":"6e18121c-2184-49df-a852-f3227c28d82f","incomingCitationCount":0,"keyword":["Malaysian Borneo","Sabah","Stability of Altered Forest Ecosystems (SAFE)","Human-modified tropical forest (HMTF)","forest density ","canopy density ","tropical forest","tree"],"keywordsOther":["forest density ","canopy density ","tropical forest","tree"],"keywordsPlace":["Malaysian Borneo","Sabah"],"keywordsProject":["Stability of Altered Forest Ecosystems (SAFE)","Human-modified tropical forest (HMTF)"],"licence":"Open government licence","lineage":"The work was carried out in the oil palm plantations within the Stability of Altered Forest Ecosystem (SAFE) Project, located within lowland dipterocarp forest regions of East Sabah in Malaysian Borneo.  Airborne LiDAR data were acquired on 5 November 2014 using a Leica LiDAR50-II flown at 1850 m altitude on a Dornier 228-201 travelling at 135 knots. The LiDAR sensor emitted pulses at 83.1 Hz with a field of view of 12.0°, and a footprint of about 40 cm diameter. The average pulse density was 7.3/m2. The Leica LiDAR50-II sensor records full waveform LiDAR, but for the purposes of this study the data were discretised, with up to four returns recorded per pulse.  The LiDAR data were pre-processed by NERC's Data Analysis Node and delivered in standard LAS format. All further processing was undertaken using LAStools (Rapidlasso GmbH, LAStools). Points were classified as ground and non-ground, and a digital elevation model (DEM) was fitted to the ground returns, producing a raster of 1 m resolution. The DEM elevations were subtracted from elevations of all non-ground returns to produce a normalised point cloud, and a canopy height model (CHM) was constructed from this on a 0.5 m raster by averaging the first returns. Finally, holes in the raster were filled by averaging neighbouring cells.  See supporting documentation for further information.","locations":["POLYGON((117.42 4.583, 117.42 4.774, 117.719 4.774, 117.719 4.583, 117.42 4.583))"],"metadataDate":"2026-07-25T06:49:12.000Z","organisation":["University of Cambridge","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6e18121c-2184-49df-a852-f3227c28d82f","10.5285/6e18121c-2184-49df-a852-f3227c28d82f","doi:10.5285/6e18121c-2184-49df-a852-f3227c28d82f"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"This data set provides above-ground carbon density derived from LiDAR data over oil palm plantations in the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo in 2014.  This includes the number of trees in plots and the average…","state":"published","title":"Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014 ","version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"Ground-level concentrations of ozone are high in many crop growing regions of the world and increasing rapidly in developing countries. Ozone reduces productivity of sensitive crops by reducing photosynthesis and causing cell damage within leaves, following uptake through the leaf stomatal pores. Currently, little is known about effects on crops growing in African countries where ozone precursor emissions are rising rapidly. We worked with African scientists to select the most appropriate crops and cultivars, and exposed them to realistic current and potential future ozone regimes in the climate controlled UK CEH Bangor solardomes to quantify the factors influencing stomatal conductance (for model parameterisation) and the negative effects of ozone on yield. We used staple food crops such as wheat, beans and millets. We also tested management options that could reduce ozone impacts such as strategic timing of irrigation to develop an action plan for implementation at the farm scale. This work represents the first detailed assessment of dose-response on staple crops commonly grown in Sub-Saharan Africa. A method for applying the stomatal uptake based global risk assessments for wheat was extended to other staple food crops, including maize, rice and soybean and a global assessment was conducted. This analysis included a global comparison of the extent of ozone effects with those caused by other stresses (aridity, heat, nutrients and pests/diseases). We then developed our global stomatal flux-based risk assessment methodology for African farm systems, using model parameterisations from experimental data on African crops allowing more focused case studies on Sub-Saharan. Ultimately, the end beneficiaries will be the local population through greater stability and quantity of food supplies.","documentType":"GEMINI_DOCUMENT","identifier":"37a4658d-bf7e-4df6-9e18-f63815d48b0c","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-03-26T13:34:14.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/37a4658d-bf7e-4df6-9e18-f63815d48b0c"],"resourceType":"Aggregation","shortenedDescription":"Ground-level concentrations of ozone are high in many crop growing regions of the world and increasing rapidly in developing countries. Ozone reduces productivity of sensitive crops by reducing photosynthesis and causing cell damage within leaves, following uptake through…","state":"published","supplementalName":["SUNRISE website"],"title":"Quantifying and mitigating the effects of ozone pollution on crop production - Sunrise Work package 3.2","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Leeds","Bowburn Consultancy"],"authorFamilyName":["Kerr","Fell","Kelly","Brown"],"authorFullName":["Kerr, N.R.","Fell, S.F.","Kelly, M.","Brown, L.E."],"authorGivenName":["N.R.","S.F.","M.","L.E."],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides diatom taxon abundance data from 12 rivers in the Cordillera Vilcanota region of the Peruvian Andes. Benthic diatoms were collected from a 9cm2 surface on 5 submerged cobbles at each river site. Diatoms were identified and abundances determined using microscopy methods in the laboratory, then averaged across the 5 replicates for each site. Data were collected from 11/09/2019 to 18/09/2019.\n","documentType":"GEMINI_DOCUMENT","familyName":["Kerr","Fell","Kelly","Brown"],"fullName":["Kerr, N.R.","Fell, S.F.","Kelly, M.","Brown, L.E.","Nicky Kerr"],"funder":["Natural Environment Research Council","Newton-Paulet Fund"],"givenName":["N.R.","S.F.","M.","L.E."],"grant":["NE/S013296/1","NE/S007458/1"],"identifier":"1ef65c7e-08d6-4148-b751-ae106346e091","incomingCitationCount":0,"keyword":["Biodiversity","diatom"],"keywordsOther":["diatom"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"At each site, benthic diatoms were collected from five submerged cobbles. Using a sterile toothbrush, the benthic biofilm on the upper surface of each cobble was scrubbed from a 9 cm2 area using a miniature quadrat. Organic material was removed using the hot hydrogen peroxide (H2O2) method and replicate samples mounted on individual slides. Diatom valves were identified and counted using light microscopy at x 1000 magnification using phase-contrast illumination (Olympus CX43 microscope). A minimum of 500 diatom valves were identified from each replicate. Where less than 500 valves were present, all valves were counted. To determine estimates of valve density, the number of valves identified within coverslip transects was used to estimate the total number present on the whole coverslip (0.5 mL) and then multiplied to m-2 based on sample volume and rock area (9 cm2) sampled. Abundances were then averaged across the five replicates to mean diatom density (valve m-2) at each site.","locations":["POLYGON((-75.545 -17.393, -75.545 -8.885, -70.046 -8.885, -70.046 -17.393, -75.545 -17.393))"],"metadataDate":"2026-07-24T19:19:35.000Z","organisation":["University of Leeds","Bowburn Consultancy","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1ef65c7e-08d6-4148-b751-ae106346e091","10.5285/1ef65c7e-08d6-4148-b751-ae106346e091","doi:10.5285/1ef65c7e-08d6-4148-b751-ae106346e091"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides diatom taxon abundance data from 12 rivers in the Cordillera Vilcanota region of the Peruvian Andes. Benthic diatoms were collected from a 9cm2 surface on 5 submerged cobbles at each river site. Diatoms were identified and abundances determined…","state":"published","title":"Diatom taxon abundances at river sites in the Cordillera Vilcanota region of the Peruvian Andes, 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"availability":"Unknown","catalogue":"eidc","description":"Improving Wellbeing through Urban Nature (IWUN) was a three year RCUK-funded research project led by the Department of Landscape Architecture at the University of Sheffield, focusing on addressing gaps in the evidence base concerning the relationship between human health and wellbeing and urban natural environments and utilising the known benefits of connecting and interacting with nature more effectively in local service provision.  IWUN was an inter- and trans-disciplinary project involving three universities (University of Sheffield, University of Derby and Herriot Watt) and external non-academic partners (The Wildlife Trusts, Centre for Sustainable Healthcare and Sheffield Flourish).\n\nDifferent aspects of health and wellbeing were considered but the overall focus was on the role of urban natural environments in sustaining mental health. IWUN had four work packages addressing different aspects of these broad objectives within the city of Sheffield as a case study:\n- The first was an epidemiological work package addressing population level relationships between health and the quantity, quality and distribution of natural environments across the city\n- The second was a qualitative work package that explored cultures and values of nature and wellbeing across diverse user groups across the city\n- The third used a specially designed smartphone app, Shmapped, to understand the ways in which people were using green space across the city and whether connecting with nature through an app could help support mental health wellbeing\n- The fourth and final work package worked with local health and greenspace stakeholders to find out which green space interventions they thought were most likely to benefit people’s health and what the costs and benefits of implementing these interventions would be\n\nThe IWUN findings are numerous and complex and are being written up in a series of published papers, full details of which can be found here: http://iwun.uk/publications/. The papers deal with findings from individual workpackages, as well as cross cutting findings across the whole project. In addition to the peer-reviewed papers a series of eight policy and practice briefs and an Atlas of Sheffield’s Green Spaces have been published in order to communicate the findings to a wider audience. ","documentType":"GEMINI_DOCUMENT","familyName":["Jorgensen"],"fullName":["Jorgensen, A."],"givenName":["Anna"],"identifier":"0d864b04-3085-41fb-9447-c3d385207ce2","incomingCitationCount":0,"licence":"Non-Open government licence","lineage":"See individual dataset records for details.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T19:01:41.000Z","organisation":["The University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-02T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d864b04-3085-41fb-9447-c3d385207ce2"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Improving Wellbeing through Urban Nature (IWUN) was a three year RCUK-funded research project led by the Department of Landscape Architecture at the University of Sheffield, focusing on addressing gaps in the evidence base concerning the relationship between human health…","state":"published","supplementalDescription":["Information about the research and publications"],"supplementalName":["IWUN website"],"title":"Data from Improving wellbeing through urban nature [IWUN] project","version":1.0,"view":["public","hajd"]},{"availability":"Unknown","catalogue":"eidc","description":"These data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK. The AAE has been calculated using UK Concentration Based Estimated Deposition (CBED) data for 2013-2021. The data resources consist of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution AAE data summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats. The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition. Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia).","documentType":"GEMINI_DOCUMENT","identifier":"84fdedb4-c598-4052-86b6-3d97e58b6247","incomingCitationCount":0,"keyword":["Pollution","Nutrient Nitrogen","acidity","critical load","nitrogen","pollutant deposition"],"keywordsOther":["Nutrient Nitrogen","acidity","critical load","nitrogen","pollutant deposition"],"keywordsTheme":["Pollution"],"licence":"Non-Open government licence","metadataDate":"2026-03-25T16:48:07.000Z","publicationDate":"2024-10-22T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/84fdedb4-c598-4052-86b6-3d97e58b6247"],"resourceType":"Aggregation","shortenedDescription":"These data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK. The AAE has been calculated using UK Concentration Based Estimated Deposition (CBED) data…","state":"published","title":"Average Accumulated Exceedance (AAE) of critical loads of acidity and nutrient nitrogen by acid and nitrogen deposition for the UK","topic":["0/Pollution/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["Department of Earth Sciences, University of Cambridge","Department of Plant Sciences, University of Cambridge"],"authorFamilyName":["Marquand","Zhu","Faulkner","Turchyn"],"authorFullName":["Marquand, T.I.","Zhu, B.","Faulkner, K.J.","Turchyn, A.V."],"authorGivenName":["T I","B","K J","A V"],"authorOrcid":["https://orcid.org/0000-0002-8168-9692","https://orcid.org/0000-0002-8677-2014","https://orcid.org/0000-0002-9204-6502","https://orcid.org/0000-0002-9298-2173"],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents greenhouse gas emissions data from controlled peat mesocosm experiments conducted between February 2023 and December 2025. The study investigated carbon dioxide (CO₂) and methane (CH₄) emissions from drained peat soils collected from three sites in the East Anglian Fens, UK, by researchers at the Department of Earth Sciences, University of Cambridge.\n\nThe experiments were carried out in laboratory mesocosms to examine how changes in water table levels influence greenhouse gas fluxes and porewater chemistry. CO2 and CH4 emission data are provided for \"short-term\" experiments in which columns of drained peat were subjected to a high water table and then gradually drained over ~50 days with CO2 and CH4 emissions monitored as the water table is lowered. CO2 and CH4 emission and pore fluid concentration data are provided for \"long-term\" experiments in which mesocosms of drained peat were subjected to high water table (5cm above the soil surface) for a period of around 5 months.\nThese data were generated to improve understanding of how peatland rewetting and water table management affect greenhouse gas dynamics in lowland fen systems, supporting assessments of peatland restoration and climate mitigation strategies.\n\nThis work was carried out as part of the Centre for Landscape Regeneration at the University of Cambridge (Landscape Regeneration Solutions to the Interlinked Extinction and Climate Crises that support Sustainable Development, NE/W00495X/1) with analytical facilities funded by LASER-ENVI - A LASER spectrometer based ENVIronmental Gas and Gas-Isotope Facility (NE/V015435/1).","documentType":"GEMINI_DOCUMENT","familyName":["Marquand","Zhu","Faulkner","Turchyn"],"fullName":["Marquand, T.I.","Zhu, B.","Faulkner, K.J.","Turchyn, A.V."],"funder":["Natural Environment Research Council"],"givenName":["T I","B","K J","A V"],"grant":["NE/W00495X/1","NE/V015435/1"],"identifier":"0cefa296-33ad-4a73-8783-3471c6f64ee7","incomingCitationCount":0,"keyword":["Agriculture","Climate and climate change","soil","soil chemistry","greenhouse gas","greenhouse gas emissions","water table","methane","dissolved methane","carbon dioxide","dissolved carbon dioxide","peat","laboratory experiment","fen","East Anglian Fens"],"keywordsOther":["soil","soil chemistry","greenhouse gas","greenhouse gas emissions","water table","methane","dissolved methane","carbon dioxide","dissolved carbon dioxide","peat","laboratory experiment","fen","East Anglian Fens"],"keywordsTheme":["Agriculture","Climate and climate change"],"licence":"Open government licence","lineage":"Soils were collected from sites in the Fens and incubated in laboratory mesocosms under two treatments: (1) short-term experiments in which water table was raised above soil surface and gradually lowered over around 50 days, and (2) long-term experiments in which water table depth was raised and maintained high for ~5 months. In both conditions, emissions and pore fluid concentrations of CO2 and CH4 were monitored throughout the experiment period (using an open chamber approach, Picarro G2201-i gas analyser). Detailed descriptions of methods, units, processing, etc., can be found in the supporting document.","locations":["POLYGON((-0.268 52.33, -0.268 52.553, 0.521 52.553, 0.521 52.33, -0.268 52.33))"],"metadataDate":"2026-07-24T19:00:56.000Z","orcid":["https://orcid.org/0000-0002-8168-9692","https://orcid.org/0000-0002-8677-2014","https://orcid.org/0000-0002-9204-6502","https://orcid.org/0000-0002-9298-2173"],"organisation":["Department of Earth Sciences, University of Cambridge","Department of Plant Sciences, University of Cambridge","University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0cefa296-33ad-4a73-8783-3471c6f64ee7","10.5285/0cefa296-33ad-4a73-8783-3471c6f64ee7","doi:10.5285/0cefa296-33ad-4a73-8783-3471c6f64ee7"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents greenhouse gas emissions data from controlled peat mesocosm experiments conducted between February 2023 and December 2025. The study investigated carbon dioxide (CO₂) and methane (CH₄) emissions from drained peat soils collected from three sites…","state":"published","title":"Carbon dioxide and methane emission and pore fluid concentration data from peat mesocosm experiments under variable water table treatments","topic":["0/Agriculture/","0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Portsmouth"],"authorFamilyName":["Lerebours","Smith"],"authorFullName":["Lerebours, A.","Smith, J.T."],"authorGivenName":["A.","J.T."],"authorRor":["https://ror.org/03ykbk197"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise water chemistry measurements (major alkali and alkali-earth element water concentrations and trace element concentrations) recorded over two years at seven lakes in Belarus and Ukraine at distances from 1.5 to 225 km of the Chernobyl Nuclear Power Plant (CNPP). The lakes include Glubokoye, Yanovsky lakes and Cooling Pond (high (H) contaminated lakes), Svyatoye Lake (medium (M) contaminated lake) and Stoyacheye, Dvoriche and Gorova lakes (low (L) contaminated lakes).","documentType":"GEMINI_DOCUMENT","familyName":["Lerebours","Smith","Guler"],"fullName":["Lerebours, A.","Smith, J.T.","Guler, Y."],"funder":["Natural Environment Research Council"],"givenName":["A.","J.T.","Y."],"grant":["NE/L000393/1"],"identifier":"b29d8ab8-9aa7-4f63-a03d-4ed176c32bf3","incomingCitationCount":1,"keyword":["Belarus","Ukraine","Chornobyl","Radioecology","lake","nuclear power plant","nuclear accident"],"keywordsOther":["lake","nuclear power plant","nuclear accident"],"keywordsPlace":["Belarus","Ukraine","Chornobyl"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"After filtration on a 0.2 micrometre mesh size filter and acidification (2% v/v of HNO3 65% trace metal grade, Sigma), major alkali and alkali-earth element water concentrations (Na, Mg, S, K and Ca in mg/L, mean ± SD, n = 3 per lake) and trace elements concentrations (As, Sr, Cd, Cs, Pb and U in micro g/L, mean +/- SD, n = 3 per lake) were measured in the 7 lakes with quadrupole-based ICP-MS system (Model iCAPQ; Thermo Scientific) equipped with CCTED, ‘collision cell mode’ (7% Hydrogen in Helium) with kinetic energy discrimination (KED) to eliminate polyatomic interferences. Samples entered the ICP-QMS through an auto-sampler (Cetac ASX-520) via a nebuliser (Thermo-Fisher Scientific; 1mL min-1) and spray chamber. Internal standards were introduced to the sample stream via a separate line including Ge (50 micro g/L), Rh (20 micro g/L) and Ir (10 micro g/L) in 2% HNO3.  Two sets of external mulit-element calibration standards for major elements (0-30 mg/L) and trace elements (0-100 micrograms per litre) were prepared from Certiprep(TM) multi-element stock solutions.\nAfter filtration on a 0.45 micrometre mesh size filter and preservation (1% v/v of ZnCl2 50% w/v), concentrations of inorganic macronutrients (NO3-, NO2- and PO43- in μg/L, mean +/- SD, n = 3 per lake) were determined using a QuAAtro segmented flow nutrient analyser with autosampler (SEAL Analytical, UK). Analysis was done according to standard procedures.","locations":["POLYGON((27.175 50.799, 27.175 54.4, 34.382 54.4, 34.382 50.799, 27.175 50.799))"],"metadataDate":"2026-07-25T12:54:08.000Z","organisation":["University of Portsmouth","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-03-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b29d8ab8-9aa7-4f63-a03d-4ed176c32bf3","10.5285/b29d8ab8-9aa7-4f63-a03d-4ed176c32bf3","doi:10.5285/b29d8ab8-9aa7-4f63-a03d-4ed176c32bf3"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise water chemistry measurements (major alkali and alkali-earth element water concentrations and trace element concentrations) recorded over two years at seven lakes in Belarus and Ukraine at distances from 1.5 to 225 km of the Chernobyl Nuclear Power Plant…","state":"published","supplementalDescription":["Lerebours, A., Gudkov, D., Nagorskaya, L., Kaglyan, A., Rizewski, V., Leshchenko, A., … Smith, J.T. (2018). Impact of Environmental Radiation on the Health and Reproductive Status of Fish from Chernobyl. Environmental Science & Technology, 52(16), 9442–9450."],"title":"Water chemistry of seven lakes in Belarus and Ukraine 2014 to 2016","topic":["0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B."],"authorGivenName":["Marc S","Ian","James","Colin A","Jo","David B"],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","http://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to 2024), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species).\n\nTrends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year.\n\nTrends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place.\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.\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\n#Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"funder":["Natural Environment Research Council"],"givenName":["Marc S","Ian","James","Colin A","Jo","David B","Marc"],"identifier":"4cf966ef-4d8e-48de-8368-3a68faf6fbbf","incomingCitationCount":0,"keyword":["Biodiversity","annual","butterflies","Lepidoptera","BReVI","Uinited Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsOther":["annual","butterflies","Lepidoptera","BReVI","Uinited Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Indices are calculated for all species (across Wider Countryside Butterfly Survey squares and traditional UKBMS sites) using the Generalised Abundance Index (GAI) method developed in 2016 with an additional modification that the data from each site in each year is weighted in the final stage relative to the proportion of the species flight period surveyed that year for that site. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which there was sufficient data available, the starting year for the series is later than 1976 for a number of rarer species","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:21:07.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","http://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","Joint Nature Conservation Committee"],"publicationDate":"2025-12-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4cf966ef-4d8e-48de-8368-3a68faf6fbbf","10.5285/4cf966ef-4d8e-48de-8368-3a68faf6fbbf","doi:10.5285/4cf966ef-4d8e-48de-8368-3a68faf6fbbf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series…","state":"published","title":"United Kingdom Butterfly Monitoring Scheme: species trends 2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Universidade Estadual Paulista (UNESP)","University of Aberdeen"],"authorFamilyName":["Cava","Damasceno","García Díaz","Fidelis"],"authorFullName":["Cava, M.","Damasceno, G.","García Díaz, P.","Fidelis, A."],"authorGivenName":["M.","G.","P.","A."],"authorOrcid":["https://orcid.org/0000-0002-6630-5347","https://orcid.org/0000-0001-5103-484X","https://orcid.org/0000-0001-5402-0611","https://orcid.org/0000-0001-9545-2285"],"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"The data contains variables related to the diversity and structure of plant communities of cattle-grazed and burned old-growth grasslands and ungrazed and unburned old-growth grasslands located in the northern region of the Cerrado, specifically in the municipality of São Félix do Tocantins, state of Tocantins, Brazil, collected in March and April 2022. \nData were collected in 100 plots of 1-m² distributed over ten old-growth grasslands (10 plots per site), of which five were grazed and burned and five ungrazed and unburned.\n","documentType":"GEMINI_DOCUMENT","familyName":["Cava","Damasceno","García Díaz","Fidelis"],"fullName":["Cava, M.","Damasceno, G.","García Díaz, P.","Fidelis, A."],"funder":["Natural Environment Research Council","Fundação de Amparo à Pesquisa do Estado de São Paulo "],"givenName":["M.","G.","P.","A."],"grant":["NE/S011641/1","2020/04713-5"],"identifier":"d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80","incomingCitationCount":0,"keyword":["Brazil","old-growth grasslands","old-growth savannas","Cerrado","neotropical savanna","fire","grazing","cattle"],"keywordsOther":["old-growth grasslands","old-growth savannas","Cerrado","neotropical savanna","fire","grazing","cattle"],"keywordsPlace":["Brazil"],"licence":"Open government licence","lineage":"Data were collected in the field by 4 experts in March and April 2022. The aboveground vegetation biomass data involved the collection, transport, drying (using a forced air oven at 80°C for 48 hours), and weighing of material (using an electronic scale with 0.1-milligram precision). ","locations":["POLYGON((-46.57 -10.7, -46.57 -10.1, -46.52 -10.1, -46.52 -10.7, -46.57 -10.7))"],"metadataDate":"2026-07-25T14:21:57.000Z","orcid":["https://orcid.org/0000-0002-6630-5347","https://orcid.org/0000-0001-5103-484X","https://orcid.org/0000-0001-5402-0611","https://orcid.org/0000-0001-9545-2285"],"organisation":["Universidade Estadual Paulista (UNESP)","University of Aberdeen","NERC EDS Environmental Information Data Centre","Universidade Estadual Paulista"],"publicationDate":"2023-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80","10.5285/d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80","doi:10.5285/d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80"],"resourceType":"Dataset","rightsHolder":["Universidade Estadual Paulista"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data contains variables related to the diversity and structure of plant communities of cattle-grazed and burned old-growth grasslands and ungrazed and unburned old-growth grasslands located in the northern region of the Cerrado, specifically in the municipality…","state":"published","title":"Impacts of cattle grazing and fire on old-growth grasslands plant communities in the Brazilian Cerrado, 2022","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Bangor University","Swansea University","University of Leicester","Rothamsted Research"],"authorFamilyName":["Marsden","Lush","Holmberg","Harris","Whelan","Webb","King","Wilson","Jones","Charteris","Cardenas","Chadwick"],"authorFullName":["Marsden, K.A.","Lush, L.","Holmberg, J.A.","Harris, I.M.","Whelan, M.J.","Webb, S.","King, A.J.","Wilson, R.P.","Jones, D.L.","Charteris, A.F.","Cardenas, L.M.","Chadwick, D.R."],"authorGivenName":["K.A.","L.","J.A.","I.M","M.J.","S.","A.J.","R.P.","D.L.","A.F.","L.M.","D.R."],"authorOrcid":["https://orcid.org/0000-0002-0605-3918","https://orcid.org/0000-0002-1394-7741","https://orcid.org/0000-0003-0277-9559","https://orcid.org/0000-0002-6870-9767","https://orcid.org/0000-0003-3177-0177","https://orcid.org/0000-0002-1482-4209","https://orcid.org/0000-0003-2748-4677","https://orcid.org/0000-0002-4401-9163","https://orcid.org/0000-0002-8479-8157"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/053fq8t95","https://ror.org/04h699437","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains urine frequency and volume data measured from tri-axial accelerometers on Welsh mountain ewes free-grazing two contrasting upland field sites (semi-improved and unimproved pasture) in North Wales, across two seasons each (spring and autumn). \n\nThe data, were collected using tri-axial accelerometers glued to the hind of Welsh Mountain ewes to study the urination behaviour of free-grazing sheep. Using a Boolean algorithm,  the characteristic squatting position that ewes exhibit upon urination was detected in the accelerometer data. Initially the performance of the accelerometers with sheep in urine collection pens was assessed. Data were collected  on the volume of each urination event and recorded the time of each observed urination event. This initial data was used to assess whether the accelerometers and Boolean algorithm were successful in identifying urination events, but also to ascertain whether the time spent in the squatting position would correlate with the volume of urine produced (thus allowing the technique to be able to estimate urine volume from squatting time only in subsequent field deployments).  Information on when, where and how often livestock urinate are key data to be able to assess the scale and nature of nitrogen pollution arising from grazed agroecosystems.  Urine patches deposited by grazing livestock are large sources of emissions of the greenhouse gas, nitrous oxide, due to high concentrations of nitrogen deposited over relatively small areas. \n\n These data were collected in the NERC funded Uplands-N2O project (grant award: NE/M015351/1).","documentType":"GEMINI_DOCUMENT","familyName":["Marsden","Lush","Holmberg","Harris","Whelan","Webb","King","Wilson","Jones","Charteris","Cardenas","Chadwick"],"fullName":["Marsden, K.A.","Lush, L.","Holmberg, J.A.","Harris, I.M.","Whelan, M.J.","Webb, S.","King, A.J.","Wilson, R.P.","Jones, D.L.","Charteris, A.F.","Cardenas, L.M.","Chadwick, D.R."],"funder":["Natural Environment Research Council"],"givenName":["K.A.","L.","J.A.","I.M","M.J.","S.","A.J.","R.P.","D.L.","A.F.","L.M.","D.R."],"grant":["NE/M015351/1"],"identifier":"127afd24-d2cd-457f-b837-2dd5d328f101","incomingCitationCount":0,"keyword":["Animal behaviour","accelerometers","urination","livestock","sensor","grazing"],"keywordsOther":["accelerometers","urination","livestock","sensor","grazing"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The initial study was undertaken with Welsh Mountain ewes (n=5) housed in urine collection apparatus, equipped with tri-axial accelerometers glued to their hind. The time of ewes exhibiting the urination squatting posture was recorded and the volume of each individual urine event was also recorded. The data form this trial were analysed blind with the Boolean algorithm and we recorded no records of false positive or negatives in the dataset, suggesting the technique would work well for the field deployments. We regressed the data for squat time with urine volume, and obtained a linear relationship. This linear relationship was subsequently used to estimate urine volume from squat time only in the field campaigns. \n\nFor the field campaigns Welsh Mountain ewes (n=30) were equipped with accelerometers glued to their hinds and deployed to a semi-improved upland 11.5 ha field (240-340 m asl) at the Henfaes Research Centre (53°13′N, 4°0ʹW) in spring (12th May 2016 to 16th June 2016) and autumn (28th September 2016 to 3rd November 2016). The following year a different set of sheep (n=30) from the same flock were deployed to an area of common grazing land (495 ha) on the Carneddau mountain range (322 - 943 m asl) within the Snowdonia National Park (53°22′N, 3°95′W), Wales, UK.\n\nSheep were deployed in spring (31st May 2017 to 5th July 2017) and autumn (18th September 2017 to 28th October 2017) at the second study site. This resulted in a large dataset for the time, squatting duration, frequency and estimated volume of individual sheep urine events while free-grazing. Data for rainfall and temperature across the four study periods are also provided. For specific quality control procedures and further details please read the supporting documentation associated with each deposited data file. ","locations":["POLYGON((-4.418 52.499, -4.418 53.375, -3.126 53.375, -3.126 52.499, -4.418 52.499))"],"metadataDate":"2026-07-24T19:09:09.000Z","orcid":["https://orcid.org/0000-0002-0605-3918","https://orcid.org/0000-0002-1394-7741","https://orcid.org/0000-0003-0277-9559","https://orcid.org/0000-0002-6870-9767","https://orcid.org/0000-0003-3177-0177","https://orcid.org/0000-0002-1482-4209","https://orcid.org/0000-0003-2748-4677","https://orcid.org/0000-0002-4401-9163","https://orcid.org/0000-0002-8479-8157"],"organisation":["Bangor University","Swansea University","University of Leicester","Rothamsted Research","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/127afd24-d2cd-457f-b837-2dd5d328f101","10.5285/127afd24-d2cd-457f-b837-2dd5d328f101","doi:10.5285/127afd24-d2cd-457f-b837-2dd5d328f101"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/053fq8t95","https://ror.org/04h699437","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains urine frequency and volume data measured from tri-axial accelerometers on Welsh mountain ewes free-grazing two contrasting upland field sites (semi-improved and unimproved pasture) in North Wales, across two seasons each (spring and autumn). \n\nThe…","state":"published","title":"Welsh Mountain ewe urine frequency and volume data measured from tri-axial accelerometers on ewes grazing two upland pastures in North Wales","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["The Nature Conservancy"],"authorFamilyName":["Eddy","Welch","Rawes"],"authorFullName":["Eddy, A.","Welch, D.","Rawes, M."],"authorGivenName":["A.","D.","M."],"authorRor":["https://ror.org/00gcd8h55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s.","documentType":"GEMINI_DOCUMENT","familyName":["Eddy","Welch","Rawes","Wood"],"fullName":["Eddy, A.","Welch, D.","Rawes, M.","Wood, C."],"givenName":["A.","D.","M.","Claire"],"identifier":"bb703113-3428-483c-858a-2a85cafd9821","incomingCitationCount":0,"keyword":["England","Pennines","Moor House","Biodiversity","Mapping","Sphagnum recurvum","Polytrichum commune ","Juncus effusus","Nardus stricta","Trichophorum cespitosum","Eriophorum vaginatum","Calluna vulgaris","Juncus squarrosus","Agrostis spp.","Festuca spp.","Sphagnum spp."],"keywordsOther":["Sphagnum recurvum","Polytrichum commune ","Juncus effusus","Nardus stricta","Trichophorum cespitosum","Eriophorum vaginatum","Calluna vulgaris","Juncus squarrosus","Agrostis spp.","Festuca spp.","Sphagnum spp."],"keywordsPlace":["England","Pennines","Moor House"],"keywordsTheme":["Biodiversity","Mapping"],"licence":"Open government licence","lineage":"This map was created by Eddy, A., Welch, D., & Rawes, M. in the early 1960s at the Nature Conservancy's Moor House Field Station (a forerunner of the Centre for Ecology & Hydrology). Note that the reserve has been extended to Upper Teesdale, however this map covers the Moor House area only. The original field survey was mapped on to a base map on the scale of 6 inches to the mile (1:10560). The paper map was digitised by the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in the 1990s. See online Supporting Information for further details.","locations":["POLYGON((-2.53 54.59, -2.53 54.71, -2.3 54.71, -2.3 54.59, -2.53 54.59))"],"metadataDate":"2026-07-25T12:59:06.000Z","organisation":["The Nature Conservancy","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"1968-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1392911352060","CEH:EIDC::1392911352060","https://catalogue.ceh.ac.uk/id/bb703113-3428-483c-858a-2a85cafd9821","10.5285/bb703113-3428-483c-858a-2a85cafd9821","doi:10.5285/bb703113-3428-483c-858a-2a85cafd9821"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00gcd8h55","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s.","state":"published","supplementalDescription":["Eddy, A., Welch, D., & Rawes, M. (1968). The vegetation of the Moor House National Nature Reserve in the northern Pennines, England. Plant Ecology (Vegetation), 16(5), 239-284"],"title":"Vegetation map of the Moor House National Nature Reserve ","topic":["0/Biodiversity/","0/Mapping/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Harris","Harrower","Lowe","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harris, S.","Harrower, C.","Lowe, M.","Roy, D.B."],"authorGivenName":["M.S.","I.","S.","C.","M.","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","https://ror.org/03w54w620"],"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.\n","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Harris","Harrower","Lowe","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harris, S.","Harrower, C.","Lowe, M.","Roy, D.B."],"funder":["Natural Environment Research Council"],"givenName":["M.S.","I.","S.","C.","M.","D.B."],"grant":["NE/R016429/1"],"identifier":"1286b858-34a7-4ff2-84a1-a55e48d63e86","incomingCitationCount":0,"keyword":["England","Northern Ireland","Scotland","UK-SCAPE","Wales","biodiversity","lepidopteran","butterfly"],"keywordsOther":["England","Northern Ireland","Scotland","UK-SCAPE","Wales","biodiversity","lepidopteran","butterfly"],"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":"2026-07-24T19:09:14.000Z","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","NERC EDS Environmental Information Data Centre","Natural Environment Research Council","Joint Nature Conservation Committee"],"publicationDate":"2022-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1286b858-34a7-4ff2-84a1-a55e48d63e86","10.5285/1286b858-34a7-4ff2-84a1-a55e48d63e86","doi:10.5285/1286b858-34a7-4ff2-84a1-a55e48d63e86"],"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/03w54w620","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 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Flor","Osorio-Baquero","Aguirre-Sanchez","Charnley","Galloway"],"authorFullName":["Flor, D.","Osorio-Baquero, A.","Aguirre-Sanchez, A.","Charnley, F.","Galloway, T."],"authorGivenName":["Daniela","Andrea","Angelica","Fiona","Tamara"],"authorOrcid":["https://orcid.org/0009-0005-3458-9276"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents information on waste characterized from the recycling flow on Santa Cruz island, Galápagos. Characterization was conducted between 19 and 25 November 2024. The process included recyclable waste classification, counting, weighing and polymer identification.  The dataset contains the category and subcategory assigned to each item, the identified polymer type and additional comments, including brand information when available. The data were collected to explore alternatives for reducing inland plastic waste through a circular economy approach. This work is part of a NERC funded project (NE/V005448/1), that aims to reduce plastic in the Galápagos Islands and the Eastern Pacific.","documentType":"GEMINI_DOCUMENT","familyName":["Flor","Osorio-Baquero","Aguirre-Sanchez","Charnley","Galloway"],"fullName":["Flor, D.","Osorio-Baquero, A.","Aguirre-Sanchez, A.","Charnley, F.","Galloway, T.","Daniela Flor"],"funder":["Natural Environment Research Council"],"givenName":["Daniela","Andrea","Angelica","Fiona","Tamara"],"grant":["NE/V005448/1"],"identifier":"b6076854-c526-44b2-9e5a-4fa4f8df4b21","incomingCitationCount":0,"keyword":["Environmental survey","waste","recycling","plastic","characterization"],"keywordsOther":["waste","recycling","plastic","characterization"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Waste characterization was performed at the municipal recycling centre. To characterize the recyclable waste, 2 bags per route were randomly selected by the municipality staff, resulting in a total of 8 bags per sampling event. The 8 bags were weighed and then emptied onto a tarpaulin. The material was thoroughly mixed and divided in four quadrants, three quadrants were discarded and the remaining quadrant was characterised. Characterization involved sorting the material into predefined categories, counting individual items and weighing each category.  Plastics were separated and the polymer type identified using a portable plastic identification device (PlasTell NIR plastics scanner, desktop version, Matoha Instrumentation Ltd.) equipped with a transmittance-reflectance NIR spectroscopy, 1550-1950 nm - 2NIR lamps built-in. Data were initially recorded in field notebooks and subsequently digitized into an Excel database, where they were reviewed and standardized.","locations":["POLYGON((-90.58 -0.803, -90.58 -0.396, -90.141 -0.396, -90.141 -0.803, -90.58 -0.803))"],"metadataDate":"2026-07-25T12:55:30.000Z","orcid":["https://orcid.org/0009-0005-3458-9276"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b6076854-c526-44b2-9e5a-4fa4f8df4b21","10.5285/b6076854-c526-44b2-9e5a-4fa4f8df4b21","doi:10.5285/b6076854-c526-44b2-9e5a-4fa4f8df4b21"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents information on waste characterized from the recycling flow on Santa Cruz island, Galápagos. Characterization was conducted between 19 and 25 November 2024. The process included recyclable waste classification, counting, weighing and polymer identification.…","state":"published","title":"Characterization data of recyclable waste on Santa Cruz Island, Galápagos, 2024","topic":["0/Environmental survey/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["James Hutton Institute","University of Glasgow","University of the Highlands and Islands"],"authorFamilyName":["Artz","Coyle","Bass","Andersen"],"authorFullName":["Artz, R.R.E.","Coyle, M.","Bass, A.","Andersen, R."],"authorGivenName":["R.R.E.","M.","A.","R."],"authorOrcid":["https://orcid.org/0000-0002-8462-6558","https://orcid.org/0000-0002-9440-6524","https://orcid.org/0000-0003-3982-6582","https://orcid.org/0000-0002-7782-795X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), methane (CH4) and meteorological observations measured at two locations in the Flow Country blanket bog complex, Caithness and Sutherland, UK. The tower over the area affected by wildfire after initial felling (UK-DKF) is located at 58.431, -3.96 and monitors across a footprint affected by a wildfire in early May 2019. The tower over the area felled for restoration after previous afforestation (UK-DKE-RESTORED, which was not affected by the wildfire) is located at 58.428, -3.967 and measures fluxes from a footprint identical in ground flora, topography, soil type and previous management to that of the FIRE tower, with the only exception that the fire did not reach as far as the footprint monitored. The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. The time period covered in this dataset is 25/09/2019 – 20/05/2021.","documentType":"GEMINI_DOCUMENT","familyName":["Artz","Coyle","Bass","Andersen"],"fullName":["Artz, R.R.E.","Coyle, M.","Bass, A.","Andersen, R."],"funder":["Natural Environment Research Council"],"givenName":["R.R.E.","M.","A.","R."],"grant":["NE/T006544/1"],"identifier":"d4a7ca90-0c62-4a31-986e-f433e1644bf3","incomingCitationCount":0,"keyword":["Peatland","greenhouse gas flux","wildfire","restoration","carbon dioxide","meteorological parameter","methane","latent heat","sensible heat"],"keywordsOther":["carbon dioxide","meteorological parameter","methane","latent heat","sensible heat"],"keywordsTheme":["Peatland","greenhouse gas flux","wildfire","restoration"],"licence":"Open government licence","lineage":"Latent heat fluxes (LE) and NEE were monitored using an enclosed path eddy covariance (EC) system. CH4 fluxes were monitored using an open path EC system. Sensible heat flux was derived from sonic anemometer measurements. A range of micrometeorological measurements were carried out on the same mast as the EC data collection. Soil physics were measured close to the EC mast (within a radius of 5 m).\nThirty‐minute flux densities of sensible and latent heat (LE and H) and net ecosystem CO2 exchange (NEE) were computed from the raw EC data using EddyPRO® Flux Calculation Software (v 7.0.6; LI‐COR Biosciences, Lincoln, Nebraska). Quality control (QC) procedures were applied to ensure only high-quality turbulent flux data were retained for analysis.\n","locations":["POLYGON((-8.648 55.089, -8.648 61.138, 0.019 61.138, 0.019 55.089, -8.648 55.089))"],"metadataDate":"2026-07-25T14:19:24.000Z","orcid":["https://orcid.org/0000-0002-8462-6558","https://orcid.org/0000-0002-9440-6524","https://orcid.org/0000-0003-3982-6582","https://orcid.org/0000-0002-7782-795X"],"organisation":["James Hutton Institute","University of Glasgow","University of the Highlands and Islands","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2022-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4a7ca90-0c62-4a31-986e-f433e1644bf3","10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3","doi:10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), methane (CH4) and meteorological observations measured at two locations in the Flow Country blanket…","state":"published","title":"Carbon dioxide and methane fluxes and associated environmental observations between 2019 and 2021 from paired burned/unburned blanket bog undergoing restoration from afforestation at Forsinard, Sutherland, UK","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Lancaster University","University of Edinburgh","University of Manchester","Pontificia Universidad Católica del Perú","Universidad Nacional de San Antonio Abad"],"authorFamilyName":["Whitaker","Ostle","McNamara","Nottingham","Stott","Bardgett","Salinas","Ccahuana","Meir"],"authorFullName":["Whitaker, J.","Ostle, N.","McNamara, N.","Nottingham, A.T.","Stott, A.W.","Bardgett, R.D.","Salinas, N.","Ccahuana, A.J.Q.","Meir, P."],"authorGivenName":["J.","N.","A.T.","A.W.","R.D.","A.J.Q.","P."],"authorOrcid":["https://orcid.org/0000-0002-5143-5819"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/01nrxwf90","https://ror.org/027m9bs27","https://ror.org/00013q465","https://ror.org/03gsd6w61"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measurements of microbial community composition by phospholipid fatty acid (PLFA) analysis, soil respiration (Carbon dioxide (CO2)), soil physico-chemical properties and 13C enrichment in CO2 samples and microbial Phospholipid Fatty Acids (PLFAs). Data were produced for an investigation of the effects of carbon (C) substrate addition on soil carbon cycling processes in ten tropical soils from the Peruvian Andes. Soils were amended with 13C labelled substrates (xylose, glycine, vanillin and hemicellulose) and incubated under controlled conditions for seven days. ","documentType":"GEMINI_DOCUMENT","familyName":["Whitaker","Ostle","McNamara","Nottingham","Stott","Bardgett","Salinas","Ccahuana","Meir"],"fullName":["Whitaker, J.","Ostle, N.","McNamara, N.","Nottingham, A.T.","Stott, A.W.","Bardgett, R.D.","Salinas, N.","Ccahuana, A.J.Q.","Meir, P."],"givenName":["J.","N.","A.T.","A.W.","R.D.","A.J.Q.","P.","Jeanette"],"identifier":"cc264d08-ba89-42f0-a7cf-9c9477e1e2bd","incomingCitationCount":1,"keyword":["Peru","Andes","Soil","soil organic matter","microbial community composition","priming","montane cloud forest","ecosystem function","bacterial","fungal","tropical lowland","montane","soil","forest","respiration","decomposition","organic matter"],"keywordsOther":["soil organic matter","microbial community composition","priming","montane cloud forest","ecosystem function","bacterial","fungal","tropical lowland","montane","soil","forest","respiration","decomposition","organic matter"],"keywordsPlace":["Peru","Andes"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soils were sampled in January 2012 from ten sites along a tropical elevation gradient located on the east flank of the Peruvian Andes, with site elevations ranging from 210 to 3400 metres (m) above sea-level (asl). All sites have continuous forest cover ranging from lowland Amazonian rainforest to upper montane cloud forest; the tree-line is situated at approximately 3500 m asl. Annual temperature decreases with increasing elevation along this transect, from 26-8 degrees Centigrade (oC). Annual precipitation ranges from 1700 to 3200 millemetres per year (mm yr-1). Soil water content has been reported to have no clear relationship with elevation, partly due to limited evapotranspiration and fog deposition within the cloud immersion zone (1500-3400 m asl). At each site, the organic layer was sampled from 5 sub-plots within established 1 hectare (ha) plots with the organic layer removed from a 40 x 40 centimetre (cm) area in each sub-plot. Soils were sealed in plastic bags, immediately transported to the laboratory, and stored at 4 oC for 6 weeks until used for experimentation and analysis. ","locations":["POLYGON((-81.33 -18.35, -81.33 -0.012, -68.68 -0.012, -68.68 -18.35, -81.33 -18.35))"],"metadataDate":"2026-07-25T14:05:28.000Z","orcid":["https://orcid.org/0000-0002-5143-5819"],"organisation":["Centre for Ecology & Hydrology","Lancaster University","University of Edinburgh","University of Manchester","Pontificia Universidad Católica del Perú","Universidad Nacional de San Antonio Abad","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-11-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1409915800452","CEH:EIDC::1409915800452","https://catalogue.ceh.ac.uk/id/cc264d08-ba89-42f0-a7cf-9c9477e1e2bd","10.5285/cc264d08-ba89-42f0-a7cf-9c9477e1e2bd","doi:10.5285/cc264d08-ba89-42f0-a7cf-9c9477e1e2bd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/01nrxwf90","https://ror.org/027m9bs27","https://ror.org/00013q465","https://ror.org/03gsd6w61","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measurements of microbial community composition by phospholipid fatty acid (PLFA) analysis, soil respiration (Carbon dioxide (CO2)), soil physico-chemical properties and 13C enrichment in CO2 samples and microbial Phospholipid Fatty Acids (PLFAs).…","state":"published","title":"Measurements of respiration and microbial assimilation of carbon substrates and priming of soil organic matter mineralisation in tropical lowland and montane forest soils","topic":["0/Soil/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}