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Department)"],"authorFamilyName":["Keith","Monson","Chaplow","Black","Self","Rollett","Wood"],"authorFullName":["Keith, A.M.","Monson, F.D.","Chaplow, J.S.","Black, H.I.J.","Self, P.","Rollett, A.","Wood, C.M."],"authorGivenName":["A.M.","F.D.","J.S.","H.I.J.","P.","A.","C.M."],"authorOrcid":["0000-0001-9619-1320","0000-0002-8058-8697","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of oribatid mite species records (a component of the soil mesofauna), extracted from soils sampled across Great Britain in 1998, as part of the Countryside Survey monitoring programme. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Monson","Chaplow","Black","Self","Rollett","Wood"],"fullName":["Keith, A.M.","Monson, F.D.","Chaplow, J.S.","Black, H.I.J.","Self, P.","Rollett, A.","Wood, C.M."],"givenName":["A.M.","F.D.","J.S.","H.I.J.","P.","A.","C.M."],"identifier":"05cae9ae-86c4-4a2f-a628-6c7fd0882459","incomingCitationCount":0,"keyword":["Great Britain","Countryside Survey","Soil","Biodiversity","soil mesofauna","oribatid mites","Acari"],"keywordsOther":["soil mesofauna","oribatid mites","Acari"],"keywordsPlace":["Great Britain"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Soil","Biodiversity"],"licence":"Open government licence","lineage":"Soil samples were collected in the summers of 1998 and 1999 by trained field surveyors. Data were recorded from up to 256 1km squares sited across Britain, selected by random stratified sample. Samples were analysed according to standardized protocols at the Institute of Terrestrial Ecology, Merlewood in 1998-2000, with subsequent additional work undertaken by F. Monson and A. Keith.  Data are managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:55:10.000Z","orcid":["0000-0001-9619-1320","0000-0002-8058-8697","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","World Museum (Entomology Department)","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-05-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/05cae9ae-86c4-4a2f-a628-6c7fd0882459","10.5285/05cae9ae-86c4-4a2f-a628-6c7fd0882459","doi:10.5285/05cae9ae-86c4-4a2f-a628-6c7fd0882459"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of oribatid mite species records (a component of the soil mesofauna), extracted from soils sampled across Great Britain in 1998, as part of the Countryside Survey monitoring programme. The Countryside Survey is a unique study or 'audit' of the…","state":"published","supplementalDescription":["Black, H. I. J.; Garnett, J. S.; Ainsworth, G.; Coward, P. A.; Creamer, R.; Ellwood, S.; Horne, J.; Hornung, M.; Kennedy, V. H.; Monson, F.; Raine, L.; Osborn, D.; Parekh, N. R.; Parrington, J.; Poskitt, J.; Potter, E.; Reeves, N.; Rowland, A. P.; Self, P.; Turner, S.; Watkins, J.; Woods, C.; Wright, J.. 2002 MASQ: Monitoring And Assessing Soil Quality in Great Britain. Survey Module 6: Soils and Pollution. Bristol, Environment Agency, 200pp. (CEH Project Number: C01229, R&D Technical Report E1-063/TR)","Countryside Survey website"],"supplementalName":["MASQ: Monitoring And Assessing Soil Quality in Great Britain. Survey Module 6: Soils and Pollution.","Countryside Survey website"],"temporalExtentText":"Data collected from 1998 to 1999","title":"Oribatid mites 1998 [Countryside Survey] ","topic":["0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["An Giang University"],"authorFamilyName":["Nguyen","Mai","Tran"],"authorFullName":["Nguyen, T.","Nguyen, L.","Mai, T.","Tran, C."],"authorGivenName":["Tanh","Lan","Thang","Chau"],"authorOrcid":["0000-0002-0847-4185","0009-0008-1640-6407"],"authorRor":["https://ror.org/023pm6532"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)"],"description":"This dataset provides a calculation of the habitat risk index of mangrove forest in Soc Trang, Ca Mau, Kien Giang, in the Mekong Delta, Vietnam, in 2017. The percentage of area for no, low, medium, and high risk are provided for each stressor across the 3 provinces. Stressors across the three provinces are categorised as erosion, fishing near shore, mangrove exploitation, drought and pollution. For Ca Mau, additional stressors include fishing near shore, erosion and pollution, for Kien Giang, stressors include erosion, and for Soc Trang, stressors include deforestation, fishing near shore, drought and erosion. The risk and intensity of each stressor is weighted by the frequency of the stressor's disturbance, the rate of land area change, change in structure, management effectiveness.","documentType":"GEMINI_DOCUMENT","familyName":["Nguyen","Mai","Tran"],"fullName":["Nguyen, T.","Nguyen, L.","Mai, T.","Tran, C.","Tanh Nguyen"],"funder":["Natural Environment Research Council"],"givenName":["Tanh","Lan","Thang","Chau"],"grant":["NE/S008926/1"],"identifier":"75179e35-5f42-4335-ac71-883258e8285a","incomingCitationCount":0,"keyword":["Environmental survey","Land cover","Risk assessment","Coastal","Mangrove","InVEST model","Mekong Delta","Vietnam"],"keywordsOther":["Risk assessment","Coastal","Mangrove","InVEST model","Mekong Delta","Vietnam"],"keywordsTheme":["Environmental survey","Land cover"],"licence":"Open government licence","lineage":"The data were gathered primarily from questionnaire-based interviews. For the map depicting the distribution of influencing factors, the information is stored in vector (.shp) format.  The data collected and processed were used as inputs for the Habitat Risk Assessment (HRA) model. Interviews and surveys were conducted in the mangrove forest areas of Soc Trang, Ca Mau, and Kien Giang.  Onsite surveys at accessible locations, such as erosion points and forest areas affected by drought and water scarcity were also carried out in Soc Trang.\n\nThe exposure and consequence criteria are rated on habitat resilience and stressors. Habitat resilience risk level includes (on a Likert scale) natural mortality, recruitment, connectivity and recovery time. Stressors include the frequency of disturbance, change in area rating, change in structure rating, temporal overlap rating, management effectiveness and intensity rating.  Ratings (0-3) indicate the severity of each factor's impact, with 0 = none and 3 = high. These scores, combined with weights and data quality, feed into the exposure and consequence calculations that determine overall habitat risk. The criteria column is the backbone of the scoring system: it informs the model which ecological or management factors are being considered in the risk calculation. By adjusting ratings, data quality, and weights,  the risk assessment can be adjusted to reflect local knowledge and priorities.","locations":["POLYGON((104.274 8.471, 104.274 10.961, 107.264 10.961, 107.264 8.471, 104.274 8.471))"],"metadataDate":"2026-07-25T06:53:01.000Z","orcid":["0000-0002-0847-4185","0009-0008-1640-6407"],"organisation":["An Giang University","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-07-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75179e35-5f42-4335-ac71-883258e8285a","10.5285/75179e35-5f42-4335-ac71-883258e8285a","doi:10.5285/75179e35-5f42-4335-ac71-883258e8285a"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/023pm6532","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides a calculation of the habitat risk index of mangrove forest in Soc Trang, Ca Mau, Kien Giang, in the Mekong Delta, Vietnam, in 2017. The percentage of area for no, low, medium, and high risk are provided for each stressor across the 3 provinces.…","state":"published","supplementalDescription":["The risk was estimated based on the Habitat Risk Assessment module of the InVEST model, further details can be accessed here."],"title":"Habitat risk score of mangrove areas in the Vietnamese Mekong Delta calculated using the InVEST model, 2017","topic":["0/Environmental survey/","0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"availability":"Unknown","catalogue":"eidc","description":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of surveys carried out each year across the UK that generate data on butterfly abundance. \n\nThe UK Butterfly Monitoring Scheme (UKBMS) has operated since 1976 and involves thousands of volunteers collecting data every week throughout the summer. The scheme comprises three survey methods:\n\n1. Traditional butterfly transects (Pollard walks): Butterfly data is recorded from fixed-route walks (transects), typically about 2-4km long, established at a site and recorded on a regular (weekly) basis under reasonable weather conditions for a number of years from the beginning of April until the end of September. Most transects record all butterfly species, some focus on a single species and are just recorded during that species flight period.\n\n2. Wider Countryside Butterfly Survey squares: Butterflies are counted along fixed-route walks, within randomly selected 1km grid squares and recorded at least twice during July and August under reasonable weather conditions, although additional counts may be made during the spring and summer.\n\n3. Other methods: Alternative, more rapid approaches targeted at specific species and sites include ‘timed counts’ (recording the abundance of adults of a particular species over a set period of time and within a set area during suitable weather conditions) and egg and larval web counts (recording the number of eggs or larval webs of a species (e.g. Marsh Fritillary) from a given area of suitable habitat.\n\nUKBMS data is widely used for research; a list of publications as well as downloadable PDF copies of past Annual Reports is made available via the UKBMS website.\n\nDatasets currently available for download include annual site level indices of abundance, UK and country-level collated indices of abundance, UK trends in abundance and phenology data for all commonly occurring UK butterfly species on monitored sites across the UK since 1976, as well as annually updated site location data for all UKBMS sites. Access to other data should be requested directly via the UKBMS website.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation, the UK Centre for Ecology & Hydrology, British Trust for Ornithology, and the Joint Nature Conservation Committee. The UKBMS is indebted to all volunteers who contribute data to the scheme.","documentType":"GEMINI_DOCUMENT","identifier":"571a676f-6c32-489b-b7ec-18dcc617a9f1","incomingCitationCount":0,"keyword":["UK","England","Scotland","Wales","Northern Ireland","Biodiversity","Lepidoptera","butterflies","Butterfly Conservation","Joint Nature Conservation Committee","JNCC","Scottish Natural Heritage","SNH","Forestry Commission","Northern Ireland Environment Agency","Natural England","Natural Environment Research Council","NERC","Department of the Environment Food and Rural Affairs","Defra","Natural Resources Wales","NRW","Cyfoeth Naturiol Cymru"],"keywordsOther":["Lepidoptera","butterflies","Butterfly Conservation","Joint Nature Conservation Committee","JNCC","Scottish Natural Heritage","SNH","Forestry Commission","Northern Ireland Environment Agency","Natural England","Natural Environment Research Council","NERC","Department of the Environment Food and Rural Affairs","Defra","Natural Resources Wales","NRW","Cyfoeth Naturiol Cymru"],"keywordsPlace":["UK","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Data collected by UKBMS volunteers is captured electronically and undergoes quality assurance. Following data collection, data is run through a series of analyses to provide annual indices of butterfly populations at UK and country level. During this process both Butterfly Conservation and CEH Wallingford validate the data through a series of manual and automated checks for quality assurance. Processed data is stored in an ORACLE database. A statistical model (Generalised Additive Model) is used to estimate an annual index of abundance at each site for each butterfly species. A further statistical model (Generalised Linear Model) is used to calculate national and regional population estimates (a collated index) for each species and is used to assess trends over time. National/regional indices of abundance for species are also combined to create composite indicators, published as Government indicators (e.g. http://jncc.defra.gov.uk/page-4236). The transect data is also used to measure the phenology (timing of appearance) of each species, each year at each site. The results of the UKBMS are disseminated via an oral presentation at an annual National Recorder's Meeting typically held in March, in an Annual Report, typically published in December, and via the UKBMS website.","metadataDate":"2026-07-24T23:06:06.000Z","organisation":["UK Butterfly Monitoring Scheme","Butterfly Conservation"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/571a676f-6c32-489b-b7ec-18dcc617a9f1"],"resourceType":"Aggregation","ror":["https://ror.org/05jg03a59"],"shortenedDescription":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of surveys carried out each year across the UK that generate data on butterfly abundance. \n\nThe UK Butterfly Monitoring Scheme (UKBMS) has operated since…","state":"published","supplementalDescription":["UKBMS data is widely used for research; a list of publications as well as downloadable PDF copies of past Annual Reports is made available via the UKBMS website"],"supplementalName":["UKBMS website"],"temporalExtentText":"Data collection started in 1976","title":"United Kingdom Butterfly Monitoring Scheme (UKBMS) data","topic":["0/Biodiversity/"],"version":1.0,"view":["public","math2"]},{"altTitle":["Ecosystem Services for Poverty Alleviation (ESPA) programme","P4GES"],"availability":"Unknown","catalogue":"eidc","description":"This is a collection of data from experiments and surveys carried out in the Ankeniheny Zahamena Forest Corridor - the remains of the evergreen forest of eastern Madagascar. \n\nThe data comprise land use /cover classification, biomass estimates, forest inventory, site description, topographic information, site location, soil profile, above and below-ground carbon stocks, vegetation and indicator vegetation species and wood specific gravity.\n\nIt was produced by work package 4 of the P4GES (Can Paying for Global Ecosystem Services reduce poverty) project - a three year project (2013 - 2016) involving a consortium of eleven institutions in the UK, Madagascar, the USA, Switzerland and the Netherlands.  The project focused on a single ecosystem (tropical forest) in a single low income country (Madagascar) to achieve a uniquely complete analysis in an effort to answer the central research question: \"How can international ecosystem service payment schemes (specifically for carbon sequestration/storage and biodiversity conservation) most effectively reduce poverty in low income countries, given biophysical, economic and political realities\"?\n\nThe project was funded by ESPA (Ecosystem Services for Poverty Alleviation) - a research programme supported by DFID, NERC and ESRC and accredited by LWEC.","documentType":"GEMINI_DOCUMENT","identifier":"9461f9d7-f7a5-4328-a395-50a3b25da190","incomingCitationCount":0,"keyword":["Can Paying for Global Ecosystem Services reduce poverty","Ecosystem Services for Poverty Alleviation","tropical forest","Madagascar","Ankeniheny Zahamena Forest Corridor","CAZ","DFID","Department for International Development","NERC","Natural Environment Research Council","ESRC","Economic and Social Research Council","LWEC","Living with Environmental Change"],"keywordsOther":["Can Paying for Global Ecosystem Services reduce poverty","Ecosystem Services for Poverty Alleviation","tropical forest","Madagascar","Ankeniheny Zahamena Forest Corridor","CAZ","DFID","Department for International Development","NERC","Natural Environment Research Council","ESRC","Economic and Social Research Council","LWEC","Living with Environmental Change"],"licence":"Non-Open government licence","lineage":"Please see individual data records for lineage information","locations":["POLYGON((43.1914 -25.6089, 43.1914 -11.9454, 50.4838 -11.9454, 50.4838 -25.6089, 43.1914 -25.6089))"],"metadataDate":"2026-07-25T10:18:08.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9461f9d7-f7a5-4328-a395-50a3b25da190"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This is a collection of data from experiments and surveys carried out in the Ankeniheny Zahamena Forest Corridor - the remains of the evergreen forest of eastern Madagascar. \n\nThe data comprise land use /cover classification, biomass estimates, forest inventory, site…","state":"published","supplementalDescription":["The P4GES project aims to answer the question 'how can international ecosystem service payment schemes (specifically for carbon sequestration/storage and biodiversity conservation) most effectively reduce poverty in low income countries'.","ESPA is a global interdisciplinary research programme that aims to give decision-makers and natural resource users the evidence they need to address the challenges of sustainable ecosystem management and poverty reduction. The programme was developed by the UK government in response to the findings of the 2005 Millennium Ecosystem Assessment."],"supplementalName":["P4GES website","ESPA website"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Can Paying for Global Ecosystem Services reduce poverty? (P4GES)","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Newcastle","University of Stirling"],"authorFamilyName":["Pattison","Quilliam","Oliver","Willby"],"authorFullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"authorGivenName":["Z.","R.S.","D.","N.J."],"authorOrcid":["0000-0002-5243-0876","0000-0001-7020-4410","0000-0002-6200-562X","0000-0002-1020-0933"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts: \n -  Greater Glasgow conurbation, Scotland\n -  Cumbria, NW England\n -  Norfolk, E England.\n\nLakes were sampled once in each of three seasons (spring, summer and autumn) in either 2016 (Norfolk) or 2017 (Cumbria and Greater Glasgow) with faecal indicators being quantified at three discrete sampling stations in each lake (>50m apart) and at three points at each station (i.e. nine samples per lake per sampling date).  Faecal indicators were quantified based on standard dilution, membrane filtration and incubation, followed by colony counting.\n\nThe data were collected to investigate the fine scale connectivity between Faecal Indicator Organisms (FIO) densities within water bodies and diffuse and point source inputs from the adjacent catchment and from biological vectors. They also provide an indication of the relative sources of variation in reported concentrations that is relevant for environmental regulatory purposes.\n\nThe work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats).","documentType":"GEMINI_DOCUMENT","familyName":["Pattison","Quilliam","Oliver","Willby"],"fullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"funder":["Natural Environment Research Council"],"givenName":["Z.","R.S.","D.","N.J."],"grant":["NE/N006437/1"],"identifier":"5f988cd4-479d-4e35-8835-42f80ebc1698","incomingCitationCount":0,"keyword":["Water quality","Connectivity","spatial variation","faecal indicators","Human health","microbiology","water quality","human health","Rural-urban"],"keywordsOther":["Connectivity","spatial variation","faecal indicators","Human health","microbiology","water quality","human health","Rural-urban"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Sub-surface water samples obtained from multiple discrete points within 18 water bodies in each of three lake districts via wading and shore-based sampling.\n\nStandard water body characteristics (area, elevation, perimeter etc) are available from the UK Lakes Portal (https://uklakes.ceh.ac.uk/).\n\nWater samples for microbial analysis were stored at 4 degrees C and processed within six hours of collection. 100ml samples at three dilutions were filtered through 0.45-um membrane filters, placed onto the surface of Membrane Lactose Glucoronide Agar (MLGA agar). Plates were incubated at 37 degrees C and counted after 24 hours. Counts are reported as number of Colony Forming Units (CFU) per 100 ml water.\n\nData limitations: spatial sampling points within each water body were established with a handheld GPS with typical accuracy of +/- 3-5m. Concentrations of Faecal Indicator Organisms (FIOs), especially in water, are highly spatially and temporally variable over short distances and time scales. The data therefore provide a near instantaneous picture of the spatial variation in FIO concentrations within a water body at a given time. The data are suitable for an assessment of relative sources of variation in FIO concentrations (i.e. within sample location, between sample location, between site, between district and between season).\n\nData were added to an Excel spreadsheet and exported as .csv files for deposit into the EIDC.","locations":["POLYGON((-4.636 52.117, -4.636 56.032, 1.939 56.032, 1.939 52.117, -4.636 52.117))"],"metadataDate":"2026-07-24T23:10:58.000Z","orcid":["0000-0002-5243-0876","0000-0001-7020-4410","0000-0002-6200-562X","0000-0002-1020-0933"],"organisation":["University of Newcastle","University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5f988cd4-479d-4e35-8835-42f80ebc1698","10.5285/5f988cd4-479d-4e35-8835-42f80ebc1698","doi:10.5285/5f988cd4-479d-4e35-8835-42f80ebc1698"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/01kj2bm70","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts: \n -  Greater Glasgow conurbation, Scotland\n -  Cumbria, NW England\n -  Norfolk, E England.\n\nLakes were sampled once in each of three seasons…","state":"published","supplementalName":["Lakes portal"],"temporalExtentText":"Data collected from 2016 to 2017","title":"Faecal indicator data from 54 lakes in Greater Glasgow, Cumbria, and Norfolk, UK, 2016-2017","topic":["0/Water quality/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Sheffield"],"authorFamilyName":["Phoenix","Johnson","Muddimer","Leake","Cameron"],"authorFullName":["Phoenix, G.K.","Johnson, D.A.","Muddimer, S.P.","Leake, J.R.","Cameron, D.D."],"authorGivenName":["G.K.","D.A. ","S.P.","J.R.","D.D."],"authorOrcid":["0000-0002-0911-8107","0000-0001-8364-7616","0000-0002-5439-6544"],"authorRor":["https://ror.org/05krs5044"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots.  P uptake is from one of three different sources of P that were injected into the soil, with the P sources being labelled with radio-isotope 33P, such that uptake of this could be quantified by assessing the radioactivity of the plant tissue.  The plant species were grown in pots as monocultures, and as mixed communities containing all seven species.  The 33P labelled P sources that were injected into the soil were orthophosphate, DNA and calcium phosphate.  Assessment of the amount of 33P taken up was undertaken by harvesting and analysing plant shoots six days after the 33P source was injected into the soil.  The datasets contain biomass of the harvested plant material, its radioactivity as assessed by scintillation counting, and the calculated proportion of the 33P supplied that was taken up into plant shoots.\n\nThe data also contains % cover abundance values of the plant species from surveys undertaken at Wardlow Hay Cop, the limestone grassland from where the soil was sourced on which the plants were grown for the 33P addition study.","documentType":"GEMINI_DOCUMENT","familyName":["Phoenix","Johnson","Muddimer","Leake","Cameron"],"fullName":["Phoenix, G.K.","Johnson, D.A.","Muddimer, S.P.","Leake, J.R.","Cameron, D.D.","Phoenix, G."],"funder":["Natural Environment Research Council"],"givenName":["G.K.","D.A. ","S.P.","J.R.","D.D.","Gareth"],"identifier":"87cdc267-a8c7-4f59-83b4-1bceaae837ad","incomingCitationCount":0,"keyword":["Biodiversity","Soil","phosphorus","Phosphorus-33"],"keywordsOther":["phosphorus","Phosphorus-33"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"The work was undertaken in experimental greenhouses at the University of Sheffield, U.K.  Each combination of plant species monoculture and type of P source injected was replicated 7 times.  The plant cover survey data was taken in 2011, and consists of 30 quadrats, each 50cm x 50cm.  Wardlow Hay Cop from where the limestone grassland survey was taken is located at 53°15'41\"N, 1°43'56\"W.","locations":["POLYGON((-1.663 53.309, -1.663 53.446, -1.286 53.446, -1.286 53.309, -1.663 53.309))"],"metadataDate":"2026-07-25T08:39:45.000Z","orcid":["0000-0002-0911-8107","0000-0001-8364-7616","0000-0002-5439-6544"],"organisation":["University of Sheffield","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/87cdc267-a8c7-4f59-83b4-1bceaae837ad","10.5285/87cdc267-a8c7-4f59-83b4-1bceaae837ad","doi:10.5285/87cdc267-a8c7-4f59-83b4-1bceaae837ad"],"resourceType":"Dataset","ror":["https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots.  P uptake is from one of three different sources of P that were injected into the soil, with the P sources…","state":"published","temporalExtentText":"Data collected from 2010 to 2011","title":"Phosphorus-33 uptake by seven grassland plant species from three contrasting soil phosphorus chemical forms","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the bulk density taken from bulk density rings (3.1 centimetre (cm) height, 7.5 cm diameter) within each 1metre (m) x 1m quadrat. Samples were taken vertically at three depths within each quadrat to roughly quantify the following zones: 0 -10 cm, 10 - 20 cm and 20 - 30 cm. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. \nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. \n","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"814be4cf-0ff2-46dd-b296-c4d9b913b6e4","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","bulk density","grassland","salt marsh"],"keywordsOther":["bulk density","grassland","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Samples were taken from bulk density rings, vertically at 3 depths (0 -10 centimetre (cm), 10 - 20 cm and 20 - 30 cm) within each 1metre (m) x 1m quadrat. Prior to measurement of bulk density all soil samples were dried at 105 degrees Celsius for 72 hours. Results were recorded onto field sheets. These data were transferred into an Excel file and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC.\nThe location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metre (m) to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). ","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:37:57.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/814be4cf-0ff2-46dd-b296-c4d9b913b6e4","10.5285/814be4cf-0ff2-46dd-b296-c4d9b913b6e4","doi:10.5285/814be4cf-0ff2-46dd-b296-c4d9b913b6e4"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the bulk density taken from bulk density rings (3.1 centimetre (cm) height, 7.5 cm diameter) within each 1metre (m) x 1m quadrat. Samples were taken vertically at three depths within each quadrat to roughly quantify the following zones: 0 -10 cm,…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil bulk density from three soil depths on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Swansea University","Unaffiliated","University of Pisa"],"authorFamilyName":["Griffin","Joyce","De Battisti"],"authorFullName":["Griffin, J.","Joyce, M.","De Battisti, D."],"authorGivenName":["J.","M.","D."],"authorOrcid":["0000-0003-3295-6480"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains plant cover by species sampled on three occasions using a grid of 0.5 x 0.5m quadrats within experimental field plots. The percentage cover of each species was estimated visually within each of the nine, 0.5 x 0.5m quadrats in each plot. The total percentage cover was the sum of all individual species’ covers within a quadrat.\n\nThis study was conducted in the foredune area of Anastasia State Park, located south of St Augustine in Florida, USA between March 2018 to January  2019","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Joyce","De Battisti"],"fullName":["Griffin, J.","Joyce, M.","De Battisti, D."],"funder":["Natural Environment Research Council"],"givenName":["J.","M.","D.","John"],"grant":["NE/R016593/1"],"identifier":"0c93703a-c185-4dd9-b8d7-8d3698535245","incomingCitationCount":0,"keyword":["Florida","Plant cover","Hurricane Irma","Wrack removal ","hurricane"],"keywordsOther":["Plant cover","Hurricane Irma","Wrack removal ","hurricane"],"keywordsPlace":["Florida"],"licence":"Open government licence","lineage":"In March 2018, five experimental blocks were established in the storm wrack zone within 1km. In each block, three 10 x 10m experimental plots were marked and randomly assigned to ‘control’ procedural control’ or ‘removal’.  The control was left undisturbed, the procedural control was treated with wrack removal and replacement, and the removal was treated with wrack removal without replacement.\n\nThe response of the plant community was monitored immediately after the experiment was set-up (March 2018), and subsequently in August 2018, October 2018, and finally in January 2019.\n\nDistributions of all variables screened for unusual values and cross checked against field notebooks. ","locations":["POLYGON((-81.293 29.859, -81.293 29.91, -81.267 29.91, -81.267 29.859, -81.293 29.859))"],"metadataDate":"2026-07-24T19:00:36.000Z","orcid":["0000-0003-3295-6480"],"organisation":["Swansea University","Unaffiliated","University of Pisa","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0c93703a-c185-4dd9-b8d7-8d3698535245","10.5285/0c93703a-c185-4dd9-b8d7-8d3698535245","doi:10.5285/0c93703a-c185-4dd9-b8d7-8d3698535245"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/04xw4m193","https://ror.org/053fq8t95"],"shortenedDescription":"The dataset contains plant cover by species sampled on three occasions using a grid of 0.5 x 0.5m quadrats within experimental field plots. The percentage cover of each species was estimated visually within each of the nine, 0.5 x 0.5m quadrats in each plot. The total…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Plant cover in a Floridian foredune following hurricane Irma in 2017: effect of experimental wrack removal","version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"The data in the following data sets were all collected as part of the Joint NERC – NSFC funded research programme UK- China Critical Zone Observatory Programme (www.czo.ac.cn). The project name within this programme was called “Using Critical Zone Science to Enhance Soil Fertility and Improve Ecosystem Services for Peri-Urban Agriculture in China”. This research project focused on sustainable intensification of agriculture in highly productive Peri-urban farming areas in China. The field study site has been developed as a Critical Zone Observatory (CZO) located in the Zhangxi catchment (29°44′–29°51′ N, 121°13′–121°20′ E) within Ningbo city, a pilot city of rapid urbanization in the Yangtze delta. The CZO methodology investigated soil and water process and catchment dynamics using high-density, high-frequency multiple observing systems co-located at experimental mesocosm (m-scale) plots nested within larger areas instrumented for field (ha-scale) and whole catchment mass and flux balances. Field studies were run between April 2016 and January 2017. The field studies were augmented by detailed studies of soil processes in laboratory microcosms and by mathematical modelling of soil processes at plot scale.","documentType":"GEMINI_DOCUMENT","familyName":["Dennis"],"fullName":["Dennis, S."],"givenName":["Sarah"],"identifier":"b6a19a8c-7dfa-4a12-a4e6-7a56f12b9a77","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T12:55:57.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-23T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b6a19a8c-7dfa-4a12-a4e6-7a56f12b9a77"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data in the following data sets were all collected as part of the Joint NERC – NSFC funded research programme UK- China Critical Zone Observatory Programme (www.czo.ac.cn). The project name within this programme was called “Using Critical Zone Science to Enhance…","state":"published","supplementalDescription":["UK- China Critical Zone Observatory Programme"],"title":"Data from Soil Analysis of Ningbo Watershed, China – Field, Laboratory and Modelling","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"authorFullName":["Morton, R.D.","Rowland, C.","Wood, C.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"authorGivenName":["R.D.","C.","L.","G.","R.","I."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a hierarchical nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This dataset consists of the 25m raster version, Northern Ireland only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"fullName":["Morton, R.D.","Rowland, C.","Wood, C.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I.","Morton, D."],"givenName":["R.D.","C.","L.","G.","R.","I.","Dan"],"identifier":"08b78c4b-cd3f-4eeb-a9eb-9c3e88812f16","incomingCitationCount":1,"keyword":["Northern Ireland","Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsOther":["Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsPlace":["Northern Ireland"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-09-15T08:40:08.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/08b78c4b-cd3f-4eeb-a9eb-9c3e88812f16","10.5285/08b78c4b-cd3f-4eeb-a9eb-9c3e88812f16","doi:10.5285/08b78c4b-cd3f-4eeb-a9eb-9c3e88812f16"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from…","state":"published","temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007 (25m raster, NI)","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Reading","Forest Research"],"authorFamilyName":["Quaife","Wilkinson","Stretton"],"authorFullName":["Quaife, T.","Wilkinson, M.","Stretton, M."],"authorGivenName":["T.","M."],"authorOrcid":["0000-0001-6896-4613","0000-0002-1444-5735"],"authorRor":["https://ror.org/05v62cm79","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about photosynthesis and gas exchange from tree species in Alice Holt Forest, Hampshire, UK. Data were collected between 18th-20th July 2023, alongside other observations examining the forest canopy structure and photosynthesis. Leaves were sampled across one hazel tree within the understory, and two oak trees. Data from the oak trees were collected with height, using a 12 m tower (six 2 m platforms), with leaves sampled across three platforms. The photosynthesis parameters were collected using a Handy PEA+ continuous excitation chlorophyll fluorimeter and gas exchange data were collected using a LI-COR 6400.\n\nThis research was funded by UKRI NERC as part of the SPLICE project (NE/W006596/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Quaife","Wilkinson","Stretton"],"fullName":["Quaife, T.","Wilkinson, M.","Stretton, M."],"givenName":["T.","M."],"identifier":"40365cee-fda6-402f-9839-c206463dbe7d","incomingCitationCount":0,"keyword":["Alice Holt Forest","Environmental survey","Gas exchange","Photosynthesis","Ecophysiology"],"keywordsOther":["Gas exchange","Photosynthesis","Ecophysiology"],"keywordsPlace":["Alice Holt Forest"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Samples were taken from a tower set up within the forest, between two oak trees, with six platforms at two metre intervals. Each overhanging oak branch was split into leaf clusters, with leaves sampled. The hazel understory was also sampled in the same manner. All labelled leaves were not sampled as some were taken down by the wind between marking and data collection.\n\nPhotosynthetic parameters are collected directly from the Handy PEA+ continuous excitation chlorophyll fluorimeter with no processing applied.\n\nTest measurements were taken with the LI-COR 6400 on the 18th, with data collected for leaves across two of the platforms on the 19th and 20th July 2023. Instrument files were copied into .csv files, which were then split per sample.\n","locations":["POLYGON((-0.901 51.131, -0.901 51.225, -0.751 51.225, -0.751 51.131, -0.901 51.131))"],"metadataDate":"2026-07-24T21:14:12.000Z","orcid":["0000-0001-6896-4613","0000-0002-1444-5735"],"organisation":["University of Reading","Forest Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40365cee-fda6-402f-9839-c206463dbe7d","10.5285/40365cee-fda6-402f-9839-c206463dbe7d","doi:10.5285/40365cee-fda6-402f-9839-c206463dbe7d"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about photosynthesis and gas exchange from tree species in Alice Holt Forest, Hampshire, UK. Data were collected between 18th-20th July 2023, alongside other observations examining the forest canopy structure and photosynthesis. Leaves…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Eco-physiological responses in oak and hazel, Alice Holt Forest, Hampshire, UK, July 2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Sinar Mas Agro Resources and Technology Research Institute (SMARTRI)"],"authorFamilyName":["Drewer","White","Sionita","Pujianto"],"authorFullName":["Drewer, J.","White, S.","Sionita, R.","Pujianto, P."],"authorGivenName":["J. ","S.","R. ","P. "],"authorOrcid":["0000-0002-6263-6341"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology Research Institute (SMARTRI) and located on the Ujung Tanjung Estate in Riau, Sumatra, Indonesia.  Measurements were made monthly, from October 2018 until September 2019.\n\nA total of 54 static chambers were installed across nine plots, representing three different understory vegetation treatments: normal complexity (an intermediate-level of understory spraying with herbicide); reduced complexity (spraying of all understory vegetation with herbicides); and enhanced complexity (no herbicide spraying and limited understory cutting). Six chambers were installed in each of the nine plots, resulting in 18 replicates of each treatment. In addition, soil moisture measurements were also taken around each chamber.\n\nThe dataset was associated with a foreign research permit, issued by Foreign Research Permit Division Ministry of Research and Technology/National Research and Innovation Agency, Indonesia. As the project spanned two years it was covered by two permits, RISTEK permit number: 323/SIP/FRP/E5/Dit.KI/X/2018 and RISTEK permit number: 8B/TKPIPA/E5/Dit.KI/VIII/2019.","documentType":"GEMINI_DOCUMENT","familyName":["Drewer","White","Sionita","Pujianto"],"fullName":["Drewer, J.","White, S.","Sionita, R.","Pujianto, P."],"funder":["Natural Environment Research Council"],"givenName":["J. ","S.","R. ","P. "],"grant":["NE/R005214/1"],"identifier":"378f028d-ab04-4fa5-a5ca-61f78ea0adb0","incomingCitationCount":0,"keyword":["Riau","Indonesia","Biodiversity","Climate and climate change","Ecosystem services","Agriculture","nitrous oxide","CH4","N2O","CO2","RCFlux","methane","carbon dioxide","greenhouse gas emissions"],"keywordsOther":["nitrous oxide","CH4","N2O","CO2","RCFlux","methane","carbon dioxide","greenhouse gas emissions"],"keywordsPlace":["Riau","Indonesia"],"keywordsTheme":["Biodiversity","Climate and climate change","Ecosystem services","Agriculture"],"licence":"Open government licence","lineage":"The data were collected using the static chamber method. Gas samples were taken from chambers in the field via syringe and injected into vials for storage and later analysis. Samples were analysed on a gas chromatograph (GC) in the laboratory. Concentrations were calculated from GC peak areas, calibrated against standard gases of known concentration. Fluxes were calculated from the concentration change in each chamber by linear and non-linear regression, using the R package RCflux. Fluxes are expressed as micromoles of methane per square metre per second. Each flux has an associated 95 % confidence interval, based on the regression fit, which gives a guide to the reliability and uncertainty of each measurement.\n\nThis work is part of the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) programme, a collaborative research project established in 2012 as a collaboration of the University of Cambridge and Sinar Mas Agro Resources and Technology Research Institute (SMARTRI). This work was funded by the UK Natural Environment Research Council (grant NE/R005214/1).","locations":["POLYGON((99.669 -1.549, 99.669 2.778, 104.106 2.778, 104.106 -1.549, 99.669 -1.549))"],"metadataDate":"2026-09-15T08:40:11.000Z","orcid":["0000-0002-6263-6341"],"organisation":["UK Centre for Ecology & Hydrology","Sinar Mas Agro Resources and Technology Research Institute (SMARTRI)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/378f028d-ab04-4fa5-a5ca-61f78ea0adb0","10.5285/378f028d-ab04-4fa5-a5ca-61f78ea0adb0","doi:10.5285/378f028d-ab04-4fa5-a5ca-61f78ea0adb0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology…","state":"published","temporalExtentText":"Data collected from 2018 to 2019","title":"Nitrous oxide and methane fluxes from different understory treatments in oil palm plantations in Riau, Indonesia 2018-2019","topic":["0/Biodiversity/","0/Climate and climate change/","0/Ecosystem services/","0/Agriculture/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["National Institute of Amazonian Researches, Brazil","Nanyang Technological University","University of Exeter"],"authorFamilyName":["Cunha","Quesada","Di Ponzio","Lopes","Deambrozi","Brum","Andersen","Hartley"],"authorFullName":["Cunha, H.F.V.","Quesada, C.A.","Di Ponzio, R.","Lopes, N.B.P.","Deambrozi, S.","Brum, B.","Andersen, K.","Hartley, I.P."],"authorGivenName":["H.F.V.","C.A.","R.","N.B.P.","S.","B.","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 Diameter at Breast Height (DBH) of trees > 10 cm along with botanical identification (family and species). Data were obtained via forest inventories, in annual campaigns (from 2017 to 2019) conducted in May, with exception of the first campaign, which was from June to November, due to the species identification activity. \n\nThe research was conducted in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil.\n\nThe dendrometer dataset contains the distance in circumference (mm) from a window on the dendrometer band installed in the tree and measured with a digital caliper, where that distance changes when the trunk grows. Dendrometric bands data were collected from April 2018 to January 2020. ","documentType":"GEMINI_DOCUMENT","familyName":["Cunha","Quesada","Di Ponzio","Lopes","Deambrozi","Brum","Andersen","Hartley"],"fullName":["Cunha, H.F.V.","Quesada, C.A.","Di Ponzio, R.","Lopes, N.B.P.","Deambrozi, S.","Brum, B.","Andersen, K.","Hartley, I.P."],"givenName":["H.F.V.","C.A.","R.","N.B.P.","S.","B.","K.","I.P.","Hellen Fernanda Viana"],"identifier":"c2587e20-ba4a-4444-8ce9-ccdec15b0aa3","incomingCitationCount":0,"keyword":["Environmental survey","Stem growth","Central Amazon","increment"],"keywordsOther":["Stem growth","Central Amazon","increment"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The forest inventory was conducted annually from 2017 to 2019. The first inventory (2017) took a longer time to be carried out (June- November), because it involved the botanical identification of the species. The second and third inventories were made only in May. The diameter was collected at 1.3 m above the ground with a diametric tape in trees with DBH > 10 cm. In some cases, the diameter was collected above that height because of the presence of buttresses or some deformity at that point. For quality control, the staff was trained before collection and the data were entered into the computer in the field, to avoid errors. The recruitment was the inclusion of new individuals who reached 10 cm of DBH, and tree mortality was also recorded.\n\nMore precise growth measures and with a higher frequency of collection, are obtained by dendrometric bands, which were installed in 1299 trees. The measure contains the distance in circumference (mm) from a window on the dendrometer band measured with a digital caliper, where that distance changes when the trunk grows. We avoid collecting data during rain, because the instrument is sensitive to humidity. In 2018, the data were collected in April, June, July, August, September, October and November. In 2019, the data were collected in January, February, April, July and October and in 2020 the data were collected in January.","locations":["POLYGON((-60.406 -2.121, -60.406 -1.043, -59.051 -1.043, -59.051 -2.121, -60.406 -2.121))"],"metadataDate":"2026-07-25T14:00:27.000Z","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/c2587e20-ba4a-4444-8ce9-ccdec15b0aa3","10.5285/c2587e20-ba4a-4444-8ce9-ccdec15b0aa3","doi:10.5285/c2587e20-ba4a-4444-8ce9-ccdec15b0aa3"],"resourceType":"Dataset","ror":["https://ror.org/02e7b5302","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains the Diameter at Breast Height (DBH) of trees > 10 cm along with botanical identification (family and species). Data were obtained via forest inventories, in annual campaigns (from 2017 to 2019) conducted in May, with exception of the first campaign,…","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Tree census and diameter increment in fertilised plots in the Central Amazon, 2017–2020","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Swansea University","Université de Lausanne","NIRAS UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow","Universidad de Cantabria Inicio"],"authorFamilyName":["Ladd","Cremin","Stolpmann","Balke","Vovides","Maza Fernandez"],"authorFullName":["Ladd, C.","Cremin, E.","Stolpmann, L.","Balke, T.","Vovides, A.","Maza Fernandez, M.E."],"authorGivenName":["Cai","Emilie","Lea","Thorsten","Alejandra","M.E."],"authorOrcid":["0000-0001-5437-6474","0000-0003-4732-2376","0000-0003-4251-9532","0000-0001-7733-5069","0000-0002-3293-5770"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/033n9gh91","https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","jpeg"],"description":"Raw acceleration data and images are provided for 20 locations spaced at ~500 m on the mudflat ~2 m in front of eroding or expanding edges of Caerlaverock saltmarsh, Solway Firth, Scotland. Acceleration data was gathered by the Mini Buoy (B4+ design) at rates of either 1 second (monthly redeployments) or 10 seconds (quarterly redeployments) between March 2021-2022. The data has been cleaned to remove any data gathered before/after deployment. Coordinates of each location and the status of the marsh edge (eroding or expanding), and images of the marsh edge at each Mini Buoy deployment are also present. The data is being used to identify hydrological thresholds (inundation duration, current and wave orbital velocities) that determine whether saltmarshes expand or erode.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Cremin","Stolpmann","Balke","Vovides","Maza Fernandez"],"fullName":["Ladd, C.","Cremin, E.","Stolpmann, L.","Balke, T.","Vovides, A.","Maza Fernandez, M.E.","Cai Ladd"],"funder":["Natural Environment Research Council"],"givenName":["Cai","Emilie","Lea","Thorsten","Alejandra","M.E."],"grant":["NE/S008926/1"],"identifier":"3845e060-2a43-4b7e-845a-726f54a4867d","incomingCitationCount":0,"keyword":["Environmental survey","Hydrology","Modelling","Saltmarsh","Hydrodynamics","Tipping points","Mini buoy","Caerlaverock","Scotland"],"keywordsOther":["Saltmarsh","Hydrodynamics","Tipping points","Mini buoy","Caerlaverock","Scotland"],"keywordsTheme":["Environmental survey","Hydrology","Modelling"],"licence":"Open government licence","lineage":"Data were obtained using Mini Buoys (acceleration data logger in a bottom-mounted float) between 01-03-2021 and 01-03-2022 at Caerlaverock saltmarsh, Solway Firth, Scotland. Caerlaverock is a dynamic saltmarsh undergoing areas of expansion and erosion - the deployment of Mini Buoys here allows identification of hydrological thresholds for expansion or erosion. B4+ Mini Buoys were deployed. Each individual logger sampled y-axis acceleration at 1Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard.\n\nIn total, 20 Mini Buoys were deployed - location data (as WGS84) are stored in Coordinates.csv. Acceleration data are stored in csv files and each contain acceleration measurements of an individual Mini Buoy (MB04, MB05, etc.) at a particular time period (i.e. Apr-May 2021; June-Sep 2021, etc.). There are 118 .csv Mini Buoy files in total. Data are provided as sub-minute measurements (DD/MM/YYYY HH:MM:SS) of acceleration date (Yacc) expressed as gravity-compensated acceleration values in g-force (G).\n\nImages are provided of each of the 20 Mini Buoy sites as .JPEG.\n\n1st processing stage only (to remove data before/after deployment). Future work will involve extracting metrics on inundation duration, current and wave orbital velocity values.","locations":["POLYGON((-3.575 54.962, -3.575 55.011, -3.424 55.011, -3.424 54.962, -3.575 54.962))"],"metadataDate":"2026-07-24T20:38:21.000Z","orcid":["0000-0001-5437-6474","0000-0003-4732-2376","0000-0003-4251-9532","0000-0001-7733-5069","0000-0002-3293-5770"],"organisation":["Swansea University","Université de Lausanne","NIRAS UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow","Universidad de Cantabria Inicio","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3845e060-2a43-4b7e-845a-726f54a4867d","10.5285/3845e060-2a43-4b7e-845a-726f54a4867d","doi:10.5285/3845e060-2a43-4b7e-845a-726f54a4867d"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/033n9gh91","https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"Raw acceleration data and images are provided for 20 locations spaced at ~500 m on the mudflat ~2 m in front of eroding or expanding edges of Caerlaverock saltmarsh, Solway Firth, Scotland. Acceleration data was gathered by the Mini Buoy (B4+ design) at rates of either…","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration."],"temporalExtentText":"Data collected from 2021 to 2022","title":"Hydrological data for 20 locations spaced at 500m intervals along Caerlaverock saltmarsh (UK) between March 2021 and 2022","topic":["0/Environmental survey/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["0000-0002-5276-1405","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 provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) 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 2011), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This dataset is updated annually and a more recent version of the UKBMS species trends (2012) is now available.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"givenName":["M.","D.","T.","I.","Z."],"identifier":"cad2af6c-0c97-414c-8d5f-992741b283cf","incomingCitationCount":1,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity","lepidopteran","butterfly"],"keywordsOther":["lepidopteran","butterfly"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Collated indices are calculated from UKBMS data using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. 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 it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-07-25T14:04:49.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["UK Butterfly Monitoring Scheme","Centre for Ecology & Hydrology","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-02-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1355152455871","CEH:EIDC::1355152455871","https://catalogue.ceh.ac.uk/id/cad2af6c-0c97-414c-8d5f-992741b283cf","10.5285/cad2af6c-0c97-414c-8d5f-992741b283cf","doi:10.5285/cad2af6c-0c97-414c-8d5f-992741b283cf"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value)…","state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites. "],"supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1976 to 2011","title":"United Kingdom Butterfly Monitoring Scheme: species trends 2011","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rjsc"]},{"altTitle":["LTS-ODA"],"availability":"Unknown","catalogue":"eidc","description":"SUNRISE: Sustainable Use of Natural Resources to Improve Human Health and Support Economic Development\n\nSUNRISE supports the realisation of the United Nations Sustainable Development Goals (SDGs) by improving livelihoods and wellbeing through research to reduce environmental risk, improve environmental quality and improve reliability of the supply of food, water and other natural resources. UK CEH will apply its expertise to investigate and provide advice on flood and drought modelling and water management, improving air quality, reduced livestock disease, enhancing soil quality and the sustainability and resilience of smallhold farming systems.\n\nThe project comprises three work packages:\n1. Developing hydro-climate services for water management aims to address the challenge of understanding and predicting water dynamics in areas of incomplete and spatially sparse data, and so improve decision making in India, China and Sub-Saharan Africa. (Lead scientist: Harry Dixon)\n\n2. Restoration and remediation of degraded resources will fill a knowledge gap by attributing the main causes of degradation of air quality (India and China), water (China, India and Sub-Saharan Africa) and soils systems (Malaysia and Indonesia) and by determining the key factors that affect both rate and stability of recovery. (Lead scientist: Niall McNamara)\n\n3. Managing land to ensure environmental sustainability will investigate the factors limiting productivity and/or compromising the resilience of smallholder farming systems in India, Indonesia and Sub-Saharan Africa, and investigate novel interventions to enable the local development of systems that are resilient to environmental change. (Lead scientist: Stephen Cavers)\n","documentType":"GEMINI_DOCUMENT","identifier":"1fe2954c-55c9-45e7-8140-e7e4ee645a6c","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-03-02T09:40:49.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1fe2954c-55c9-45e7-8140-e7e4ee645a6c"],"resourceType":"Aggregation","shortenedDescription":"SUNRISE: Sustainable Use of Natural Resources to Improve Human Health and Support Economic Development\n\nSUNRISE supports the realisation of the United Nations Sustainable Development Goals (SDGs) by improving livelihoods and wellbeing through research to reduce environmental…","state":"published","supplementalName":["SUNRISE website"],"title":"NERC National Capability SUNRISE Project datasets","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Warner","Heeney","Bowen","Crowley"],"authorFullName":["Warner, E.","Heeney, W.","Bowen, D.","Crowley, L."],"authorGivenName":["E.","W.","D.","L."],"authorOrcid":["0000-0003-2236-9725"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains biodiversity data focussing on invertebrates (soil, ground, tree canopy), and plants collected from The Carbon Community woodland creation experiment in Wales. This includes measurements from 72 plots, covering experimental treatment combinations of woodland type (native broadleaf vs sitka spruce), enhanced weathering (with/without basalt addition), and soil microbiome inoculation (with/without soil from mature habitat type), compared to a grassland control treatment. \nThe experiment was established in April 2021 and aims to assess strategies for maximising woodland carbon storage. The biodiversity data from each experimental plot was collected in summer 2023. \n","documentType":"GEMINI_DOCUMENT","familyName":["Warner","Heeney","Bowen","Crowley"],"fullName":["Warner, E.","Heeney, W.","Bowen, D.","Crowley, L."],"funder":["Natural Environment Research Council","Leverhulme Trust"],"givenName":["E.","W.","D.","L."],"grant":["NE/W004976/1"],"identifier":"dea46de1-9072-4342-b944-e485ccc1324a","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","invertebrates","plant biodiversity","soil carbon","enhanced weathering","soil microbiome inoculation","woodland and forest","The Carbon Community"],"keywordsOther":["invertebrates","plant biodiversity","soil carbon","enhanced weathering","soil microbiome inoculation","woodland and forest","The Carbon Community"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The experiment has a randomised blocked design, with 8 blocks of the 9 treatments, giving a total of 72 replicate plots. \nInvertebrate samples were collected from the soil (invertebrates extracted from soil cores using Tullgren funnels), ground layer (pitfall trapping) and tree canopy (beating) in June/July 2023. Invertebrates were identified to a minimum of Order in the lab in autumn/winter 2023. All carabid beetles from the pitfall trap samples were identified to species.\nPlant data was recorded directly in the field in June/July 2023, with percentage cover estimates assigned using the DOMIN scale.\n","locations":["POLYGON((-3.752 52.057, -3.752 52.065, -3.743 52.065, -3.743 52.057, -3.752 52.057))"],"metadataDate":"2026-07-25T14:25:10.000Z","orcid":["0000-0003-2236-9725"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dea46de1-9072-4342-b944-e485ccc1324a","10.5285/dea46de1-9072-4342-b944-e485ccc1324a","doi:10.5285/dea46de1-9072-4342-b944-e485ccc1324a"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biodiversity data focussing on invertebrates (soil, ground, tree canopy), and plants collected from The Carbon Community woodland creation experiment in Wales. This includes measurements from 72 plots, covering experimental treatment combinations…","state":"published","temporalExtentText":"Data collected from 2021 to 2023","title":"Invertebrate and plant biodiversity data from a woodland creation experiment, collected two years post-establishment, Wales, 2023","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Izquierdo","Bailey","Crout","Sanders","Young","Shaw"],"authorFullName":["Izquierdo, M.","Bailey, E.","Crout, N.","Sanders, H.","Young, S.","Shaw, S."],"authorGivenName":["M.","E.","N. ","H. ","S.","Shaw"],"authorOrcid":["0000-0002-2283-7202","0000-0002-5266-3792","0000-0001-7394-5070","0000-0002-3371-7185","0000-0003-2282-963X"],"authorRor":["https://ror.org/01ee9ar58"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise measurements of the 'soluble', 'adsorbed' and 'organically bound' 99Tc concentrations in a diverse set of soils following experimental addition of 99TcO4- and incubation in the laboratory under controlled temperature conditions for 897 days.\n\nThe long term behaviour of 99Tc in aerobic soils was studied by conducting a laboratory-based experiment in which a set of 20 topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with 99TcO4- and incubated in the dark, in a moist but aerobic condition, at a temperature of 10 deg C for 2.5 yr. The physico-chemical transformations of 99Tc in each soil microcosm were periodically monitored by means of a three-step sequential extraction procedure conducted on subsamples of incubated soil. \n\nThe resulting dataset enabled quantification of the kinetics of 99Tc transformation in aerobic soils as a function of soil properties and land uses (arable, grassland and moorland/woodland). The data will be useful in developing models of long-term 99Tc bioavailability in aerobic soils under temperate conditions.","documentType":"GEMINI_DOCUMENT","familyName":["Izquierdo","Bailey","Crout","Sanders","Young","Shaw","George"],"fullName":["Izquierdo, M.","Bailey, E.","Crout, N.","Sanders, H.","Young, S.","Shaw, S.","George, S."],"funder":["Natural Environment Research Council"],"givenName":["M.","E.","N. ","H. ","S.","Shaw"],"identifier":"4622f906-e28a-4210-aa03-d2e4169b1be8","incomingCitationCount":0,"keyword":["Chernobyl","Soil","Radioecology","Incubation","Aerobic soils","Technetium","aerobic condition","soil"],"keywordsOther":["Incubation","Aerobic soils","Technetium","aerobic condition","soil"],"keywordsPlace":["Chernobyl"],"keywordsTheme":["Soil","Radioecology"],"licence":"Open government licence","lineage":"At each sampling time, a portion of ca. 4 g soil from each microcosm was subjected to a three-step sequential extraction procedure devised to quantify (i) the ‘soluble’ 99Tc, which was extracted with 0.01 M KNO3; (ii) the ‘specifically adsorbed’ 99Tc, extracted with 0.16 M KH2PO4; and (iii) the ‘organically bound’ 99Tc associated with humic and fulvic acids, dissolved with 10% tetra methyl ammonium hydroxide (TMAH) solution. Soil extracts were analysed using a Thermo Fisher Scientific iCAP-Q ICP-MS operating with a collision cell using He with kinetic energy discrimination. The Radioactive Standard NIST SRM 4288B (31.55 kBq g-1 of 99TcO4- in 0.001M KOH) was used for calibration. ","locations":["POLYGON((-1.66 52.4, -1.66 53.017, -0.66 53.017, -0.66 52.4, -1.66 52.4))"],"metadataDate":"2026-07-24T21:16:54.000Z","orcid":["0000-0002-2283-7202","0000-0002-5266-3792","0000-0001-7394-5070","0000-0002-3371-7185","0000-0003-2282-963X"],"organisation":["University of Nottingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-08-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4622f906-e28a-4210-aa03-d2e4169b1be8","10.5285/4622f906-e28a-4210-aa03-d2e4169b1be8","doi:10.5285/4622f906-e28a-4210-aa03-d2e4169b1be8"],"resourceType":"Dataset","ror":["https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise measurements of the 'soluble', 'adsorbed' and 'organically bound' 99Tc concentrations in a diverse set of soils following experimental addition of 99TcO4- and incubation in the laboratory under controlled temperature conditions for 897 days.\n\nThe long…","state":"published","temporalExtentText":"Data collected from 2014 to 2017","title":"Technetium-99 (99Tc) transformations in aerobic soils following experimental addition of the radioactive anion 99TcO4-","topic":["0/Soil/","0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"This collection contains spatial datasets generated through AgZero+, a collaborative research programme focused on supporting the UK's transition towards domestic food production that is sustainable, carbon neutral and has a positive effect on nature.\n\nThe datasets draw on information from national sensor networks, satellites, surveys and study farms to provide insights into agricultural landscapes, land management, environmental assets and recreational use. The datasets can be used to explore patterns over space and time, to contextualise farms or landscapes, and as input to models of environmental risk and benefit.\n\nBy bringing together national-scale datasets, the collection supports researchers, farmers and other stakeholders in understanding interactions between food production, the environment and society, and exploring practical pathways towards achieving \"net zero plus\" arable and livestock farming systems.\n\nAgZero+ draws on contributions from the UK Centre for Ecology & Hydrology (UKCEH), Rothamsted Research, the British Geological Survey, Plymouth Marine Laboratory and the National Centre for Earth Observation, alongside industry, government and charitable partners, with funding provided by the Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) (grant award number NE/W005050/1).\n\nThe Spatial Explorer was developed in collaboration with NC-UK (National Capability for UK challenges) and can be used to discover and visualise selected spatial datasets (https://www.ceh.ac.uk/our-science/projects/national-capability-uk-challenges).\n\nOpen the Spatial Explorer in a new window (desktop recommended): https://catalogue.ceh.ac.uk/explore/spatial","documentType":"GEMINI_DOCUMENT","identifier":"47ccb9f6-858b-4b6e-a3a0-723ca5787456","incomingCitationCount":0,"keyword":["Land cover"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","metadataDate":"2026-09-16T13:27:50.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47ccb9f6-858b-4b6e-a3a0-723ca5787456"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This collection contains spatial datasets generated through AgZero+, a collaborative research programme focused on supporting the UK's transition towards domestic food production that is sustainable, carbon neutral and has a positive effect on nature.\n\nThe datasets…","state":"published","title":"AgZero+","topic":["0/Land cover/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research"],"authorFamilyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"authorFullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"authorGivenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"authorOrcid":["0000-0001-6498-043X","0000-0001-6855-9562","0000-0001-5732-8080","0000-0001-7375-1460","0000-0001-8778-4394","0000-0003-1519-3442","0000-0002-5896-756X","0000-0001-5390-9136","0000-0002-2989-2001","0000-0001-9514-7053"],"authorRor":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.  Predictions spanning 2018 to 2098 were modelled based on eight scenarios (2 climate x 2 socioeconomic x 2 population).  \n\nPlease see Whitehead et al (2019) https://doi.org/10.1016/j.scitotenv.2019.03.315 for details.","documentType":"GEMINI_DOCUMENT","familyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"fullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"funder":["Natural Environment Research Council"],"givenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"grant":["NE/S002847/1"],"identifier":"710fc65c-87eb-4932-9d8e-dc8328742232","incomingCitationCount":0,"keyword":["Mekong River Basin","Hydrology","sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"keywordsOther":["sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"keywordsPlace":["Mekong River Basin"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Data are modelled outputs from the integrated catchment (INCA) models, INCA-N for nitrate related water quality, and INCA-P for phosphorus related water quality.  Please see supporting documentation for details.  ","locations":["POLYGON((95.591 8.446, 95.591 34.191, 109.447 34.191, 109.447 8.446, 95.591 8.446))"],"metadataDate":"2026-07-25T06:51:12.000Z","orcid":["0000-0001-6498-043X","0000-0001-6855-9562","0000-0001-5732-8080","0000-0001-7375-1460","0000-0001-8778-4394","0000-0003-1519-3442","0000-0002-5896-756X","0000-0001-5390-9136","0000-0002-2989-2001","0000-0001-9514-7053"],"organisation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/710fc65c-87eb-4932-9d8e-dc8328742232","10.5285/710fc65c-87eb-4932-9d8e-dc8328742232","doi:10.5285/710fc65c-87eb-4932-9d8e-dc8328742232"],"resourceType":"Dataset","rightsHolder":["University of Southampton","University of Oxford"],"ror":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696","https://ror.org/04xw4m193"],"shortenedDescription":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.…","state":"published","supplementalDescription":["Whitehead, P.G., Jin, L., Bussi, G., Voepel, H.E., Darby, S.E., Vasilopoulos, G., Manley, R., Rodda, H., Hutton, C., Hackney, C., Pham Dang Tri, V., & Hung, N.N. (2019). Water quality modelling of the Mekong River basin: Climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta. Science of The Total Environment, 673, 218-229"],"temporalExtentText":"Data collected from 2018 to 2098","title":"Modelled and projected daily channel discharge, depth and water chemistry characteristics for 24 Mekong River basin subcatchments using the Integrated Catchment (INCA) model","topic":["0/Hydrology/"],"version":1.0,"view":["public","dgwr"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}