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University of Applied Sciences"],"authorFamilyName":["Morley","Donoghue","Van der Maaten-Theunissen","Zang","Jump"],"authorFullName":["Morley, P.","Donoghue, D.","Van der Maaten-Theunissen, M.","Zang, C.","Jump, A."],"authorGivenName":["P.","D.","M.","C.","A."],"authorOrcid":["0000-0002-7503-2520","0000-0002-9931-9083","0000-0002-2942-9180","0000-0002-9843-854X","0000-0002-2167-6451"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/01v29qb04","https://ror.org/042aqky30","https://ror.org/00gzkxz88"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises forest inventory (diameter at breast height, tree height, social class and relative crown distance) and tree canopy health data (extent of overall damage, discolouration and defoliation) collected in 2021 from sites within core protected areas of the UNESCO Rhӧn Biosphere Reserve dominated by European beech (Fagus sylvatica) forest. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable the analysis of individual tree and stand level characteristics that influence the response (canopy damage and defoliation) of European beech trees to extreme drought events. Field assessments of individual tree and stand canopy health were carried out within this project collecting data comprising canopy condition assessments and measurements of individual tree size and stand demography.  \n\nThe work was supported by the Natural Environment Research Council (Grant NE/V00929X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Morley","Donoghue","Van der Maaten-Theunissen","Zang","Jump"],"fullName":["Morley, P.","Donoghue, D.","Van der Maaten-Theunissen, M.","Zang, C.","Jump, A."],"funder":["Natural Environment Research Council"],"givenName":["P.","D.","M.","C.","A."],"grant":["NE/V00929X/1"],"identifier":"4df17a8f-9854-4b6e-8578-d99fbefb1352","incomingCitationCount":0,"keyword":["Germany","Canopy Condition","Extreme Drought","Forest Health"],"keywordsOther":["Canopy Condition","Extreme Drought","Forest Health"],"keywordsPlace":["Germany"],"licence":"Open government licence","lineage":"Forest inventory data were measured alongside canopy condition following protocol set out in the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests) Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests Part IV Visual Assessment of Crown Condition and Damaging Agents. The dataset provided here detailed the complete set of individual tree measurements as measured in the field for 38 sites using 10m fixed radius plots. ","locations":["POLYGON((9.706 50.115, 9.706 50.72, 10.448 50.72, 10.448 50.115, 9.706 50.115))"],"metadataDate":"2026-07-24T21:21:37.000Z","orcid":["0000-0002-7503-2520","0000-0002-9931-9083","0000-0002-2942-9180","0000-0002-9843-854X","0000-0002-2167-6451"],"organisation":["University of Stirling","Durham University","Technical University of Dresden","Weihenstephan-Triesdorf University of Applied Sciences","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4df17a8f-9854-4b6e-8578-d99fbefb1352","10.5285/4df17a8f-9854-4b6e-8578-d99fbefb1352","doi:10.5285/4df17a8f-9854-4b6e-8578-d99fbefb1352"],"resourceType":"Dataset","rightsHolder":["University of Stirling","Durham University"],"ror":["https://ror.org/045wgfr59","https://ror.org/01v29qb04","https://ror.org/042aqky30","https://ror.org/00gzkxz88","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises forest inventory (diameter at breast height, tree height, social class and relative crown distance) and tree canopy health data (extent of overall damage, discolouration and defoliation) collected in 2021 from sites within core protected areas…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Post-drought forest inventory and tree canopy health data, Rhӧn Biosphere Reserve, Germany, 2021","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["The James Hutton Institute","University of Sheffield","Institute of Urban Environment","The University of Melbourne"],"authorFamilyName":["Giles","Neilson","Daniell","Yang","Zhu","Zheng","Wang","Chen"],"authorFullName":["Giles, M.","Neilson, R.","Daniell, T.","Yang, X.","Zhu, D.","Zheng, F.","Wang, H.","Chen, Q."],"authorGivenName":["M. ","R.","T.","X.","D.","F.","H.","Q."],"authorRor":["https://ror.org/03rzp5127","https://ror.org/05krs5044","https://ror.org/025gq5q04","https://ror.org/01ej9dk98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set contains nematode community data for soil samples collected from two different land uses (farmland and forest) in the Peri urban area of Ningbo China. Samples were collected seasonally between April 2017 and January 2018.\n\nNematodes were removed from soil using density centrifugation, DNA extractions were then carried out on these extracted nematodes and directed TRFLP was used to obtain a measure of nematode community structure. Data are relative fluorescence for each TRFLP peak and have been Hellinger transformed.","documentType":"GEMINI_DOCUMENT","familyName":["Giles","Neilson","Daniell","Yang","Zhu","Zheng","Wang","Chen"],"fullName":["Giles, M.","Neilson, R.","Daniell, T.","Yang, X.","Zhu, D.","Zheng, F.","Wang, H.","Chen, Q."],"funder":["Natural Environment Research Council"],"givenName":["M. ","R.","T.","X.","D.","F.","H.","Q.","Tim"],"identifier":"8ae9c761-3cf9-4709-8632-c4051a244825","incomingCitationCount":0,"keyword":["Ningbo","Animal behaviour","Soil","soil","nematode","forest"],"keywordsOther":["soil","nematode","forest"],"keywordsPlace":["Ningbo"],"keywordsTheme":["Animal behaviour","Soil"],"licence":"Open government licence","lineage":"Soil samples were collected across a watershed in the Peri urban area of Ningbo China between April 9-12, 2017; July 15-18, 2017; October 14-17, 2017; January 11-14 2018. In each watershed samples were collected from 2 different land uses (farmland and forest). At each site 250 g of soil was collected be randomly taking 5 soil cores across the site. All soil was stored at 4 °C prior to shipping to the UK. Shipping was carried out in compliance with the Scottish governments import licence and samples were stored in quarantine facilities at 8 °C as per The James Hutton Institute's biosecurity policy.\n\nFor further details please see the supporting documentation","locations":["POLYGON((121.25 29.75, 121.25 29.85, 121.34 29.85, 121.34 29.75, 121.25 29.75))"],"metadataDate":"2026-07-25T08:41:18.000Z","organisation":["The James Hutton Institute","University of Sheffield","Institute of Urban Environment","The University of Melbourne","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-08-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8ae9c761-3cf9-4709-8632-c4051a244825","10.5285/8ae9c761-3cf9-4709-8632-c4051a244825","doi:10.5285/8ae9c761-3cf9-4709-8632-c4051a244825"],"resourceType":"Dataset","ror":["https://ror.org/03rzp5127","https://ror.org/05krs5044","https://ror.org/025gq5q04","https://ror.org/01ej9dk98","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains nematode community data for soil samples collected from two different land uses (farmland and forest) in the Peri urban area of Ningbo China. Samples were collected seasonally between April 2017 and January 2018.\n\nNematodes were removed from soil…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Soil nematode communities from peri-urban watersheds, China","topic":["0/Animal behaviour/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"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":"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). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. \n\nButterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats.\n\nAlthough the UK Centre for Ecology & Hydrology (UKCEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the Collated indices, the collection of the data used in their creation is ultimately reliant on a large volunteer community. The UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). \n\nThis dataset is updated annually and more recent versions of the UKBMS collated indices are available.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z.","UKBMS"],"givenName":["M.","D.","T.","I.","Z."],"identifier":"7949cc99-76c4-4a3e-8c33-41a35b8b7777","incomingCitationCount":2,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:55:22.000Z","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":"2013-05-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1368012263928","CEH:EIDC::1368012263928","https://catalogue.ceh.ac.uk/id/7949cc99-76c4-4a3e-8c33-41a35b8b7777","10.5285/7949cc99-76c4-4a3e-8c33-41a35b8b7777","doi:10.5285/7949cc99-76c4-4a3e-8c33-41a35b8b7777"],"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). Collated indices are calculated annually for each individual butterfly species that has been…","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 1974 to 2012","title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2012","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rjsc"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"In 1971, a comprehensive ecological survey of the native pinewoods of Scotland was carried out by the Nature Conservancy, a predecessor of the UK Centre for Ecology & Hydrology. The survey, utilising demonstrably repeatable methods, collected information on ground flora, soils, forest structure and also general site information from the major 27 sites of the 35 sites identified as truly native pinewoods in Scotland. A repeat of the survey was undertaken between 2018 and 2022, managed by the UK Centre for Ecology & Hydrology and funded largely by the Woodland Trust, thus providing the opportunity to assess changes in the vegetation, habitats and tree composition in a statistically robust manner.\n\nThe survey was initiated as a consequence of growing concern about the status of the pinewood resource. Since the twentieth century, this unique habitat is widely recognised, not only by ecologists for its inherent biodiversity but also by the general public for its cultural and amenity value. The results from the 1971 survey prompted the organisation of an international symposium in 1975, which set the conservation agenda for the old Caledonian pinewoods.","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["Wood, C."],"funder":["Woodland Trust"],"givenName":["C."],"identifier":"1cfe558c-e649-47d1-8c30-031fdb8e7e1f","incomingCitationCount":0,"keyword":["Scotland","Environmental survey","native pinewoods","soil","survey","trees","vegetation","ground flora"],"keywordsOther":["native pinewoods","soil","survey","trees","vegetation","ground flora"],"keywordsPlace":["Scotland"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-24T19:17:50.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-13T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1cfe558c-e649-47d1-8c30-031fdb8e7e1f"],"resourceType":"Aggregation","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"In 1971, a comprehensive ecological survey of the native pinewoods of Scotland was carried out by the Nature Conservancy, a predecessor of the UK Centre for Ecology & Hydrology. The survey, utilising demonstrably repeatable methods, collected information on ground flora,…","state":"published","temporalExtentText":"Data collected from 1971 to 2022","title":"Bunce Native Pinewood Survey of Scotland","topic":["0/Environmental survey/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Hill"],"authorFullName":["Hill, T.C."],"authorGivenName":["T.C."],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The Normalised Difference Vegetation Index (NDVI) dataset details surface reflectance measured as NDVI. NDVI provides a proxy for the amount and/or the relative 'greenness' of vegetation. \n\nData collection was carried out at six intertidal sites in the winter and summer of 2013. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area, twenty two sampling quadrats were placed on each area. A single NDVI observation was taken at each quadrat.\n\nSpectral reflectance was measured using a portable spectrometer.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Hill"],"fullName":["Hill, T.C.","Hill, T."],"funder":["Natural Environment Research Council"],"givenName":["T.C.","Tim"],"grant":["NE/J015644/1"],"identifier":"75b1f669-66b3-472b-9d31-eda908826e17","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","NDVI","mudflat","spectral reflectance","salt marsh","vegetation"],"keywordsOther":["NDVI","mudflat","spectral reflectance","salt marsh","vegetation"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty-two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). These quadrats are common to all CBESS quadrat data. NDVI measurements were obtained before any destructive harvesting of the quadrats. \n\nAn OceanOptics USB2000 spectrometer with a 1.5 m fibre optic was used in all measurements. OOIBase32 Version 2.0.1.3 was used to log data on a laptop. Reflectance measurements were taken at 1.5 m above the ground surface. At each quadrat: 1) the integration time of the spectrometer was adjusted such that the peak of the white reference spectra was approx 75% of the spectrometers maximum level; 2) for short integration times (<100 ms) spectral averaging was used to reduce measurement noise; 3) a dark measurement was recorded; 4) a white reference measurement was recorded; and 5) the reflectance measurement was made. A note is made of the number of the OOBase files associated with the quadrat number and percentage cloud and water cover of the quadrat and any other relevant information are taken. NDVI is calculated in Matlab.","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:42:04.000Z","organisation":["University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75b1f669-66b3-472b-9d31-eda908826e17","10.5285/75b1f669-66b3-472b-9d31-eda908826e17","doi:10.5285/75b1f669-66b3-472b-9d31-eda908826e17"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The Normalised Difference Vegetation Index (NDVI) dataset details surface reflectance measured as NDVI. NDVI provides a proxy for the amount and/or the relative 'greenness' of vegetation. \n\nData collection was carried out at six intertidal sites in the winter and summer…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) Normalised Difference Vegetation Index (NDVI) in saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Leeds","University of Helsinki","Pontificia Universidad Católica del Peru","University of Vienna","University of Edinburgh"],"authorFamilyName":["Nottingham","Karhu","Salinas","Sietiö","Martin-Vivanco","Wanek","Schnecker","Meir"],"authorFullName":["Nottingham, A.","Karhu, K.","Salinas, N.","Sietiö, O.","Martin-Vivanco, A.K.","Wanek, W.","Schnecker, J.","Meir, P."],"authorGivenName":["A","Kristiina","Norma","Outi-Maaria","Angela K.","Wolfgang","Jörg","Patrick"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/03prydq77"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains soil microbial carbon cycling parameters (growth, respiration, carbon use efficiency) using O18-incorporation into DNA method, microbial biomass by fumigation-extraction), bacterial and fungal necromass concentrations (by amino sugars), soil chemical properties (nutrients, pH), and soil extracellular enzyme activities and climate properties for two experimental soil systems. All measurements are made across two experimental systems over a 3.4 km elevation gradient in the Peruvian Andes (Manu National Park). The first system includes measurements for 14 x 1 ha permanent sampling plots situated across the 3.4 km elevation gradient. The second system includes measurements for a soil translocation experiment where soil cores were translocated reciprocally across 4 sites spanning the gradient; representing a temperature manipulation experiment. The measurements were collected after 11 years of temperature manipulation, in 2020-2021. This dataset was created to understand how temperature affects microbial carbon cycling process in soils, across two different time-frames (long-term vs 11-years of climate perturbation).","documentType":"GEMINI_DOCUMENT","familyName":["Nottingham","Karhu","Salinas","Sietiö","Martin-Vivanco","Wanek","Schnecker","Meir"],"fullName":["Nottingham, A.","Karhu, K.","Salinas, N.","Sietiö, O.","Martin-Vivanco, A.K.","Wanek, W.","Schnecker, J.","Meir, P.","Andrew Nottingham"],"funder":["Natural Environment Research Council"],"givenName":["A","Kristiina","Norma","Outi-Maaria","Angela K.","Wolfgang","Jörg","Patrick"],"grant":["NE/T012226/1"],"identifier":"4077c5f8-9a36-4112-8a86-604ccffbb363","incomingCitationCount":0,"keyword":["Soil","Climate and climate change","soil ecology","tropical forest","soil carbon","climate warming","soil microbes","carbon use efficiency"],"keywordsOther":["soil ecology","tropical forest","soil carbon","climate warming","soil microbes","carbon use efficiency"],"keywordsTheme":["Soil","Climate and climate change"],"licence":"Open government licence","lineage":"Data are soil properties (with some environmental metadata) for two experimental systems: 1) transect: 14 forest sites across a 3.4km elevation transect in the Peruvian Andes and 2) translocation: samples collected from 50cm deep 10cm diameter soil cores that were translocated for 11 years across 4 sites for the same elevation gradient, representing a long-term temperature manipulation. Soil samples were collected using a soil auger (3 cm diameter) at 0-20 cm mineral soil depth, with five subsamples collected per plot corner, and the subsamples were mixed into one sample per plot corner. The total C data reported are for surface soils (0-10 cm depth), with 4 spatial replicates across each 1-ha plot. For the translocation soil samples (replication of three for each of the 'soil origin' and each 'site destination'), soils were collected from the translocated soil cores using a 3-cm diameter auger to collect mineral soil at 0-20 cm depth for all samples.\n\nProcessing: Soil chemical and enzyme data determined and processed at the biogeochemical laboratory at the Smithsonian Tropical Research Institute; amino sugar data determined and processed at the University of Helsinki; CUE data determined and processed at The University of Vienna. Data were assessed using standard quality control protocols (internal standards, blanks, calibrations) at each respective laboratory facility for data generation: Smithsonian Tropical Research Institute, University of Vienna, University of Helsinki. All data were assessed during 2020-2021.\n\nData limitations: This study uses a space-for-time approach to study long-term temperature effects on soil carbon cycling. Therefore  insights into temperature response of soil carbon cycling properties based on these data require consideration of the specific characteristics of these experimental sites, such as co-variation in rainfall, soil geology and plant communities. In addition, the translocation experiment uses a reductionist approach to isolate soil processes in the absence of plant root systems and data reflect an 11 year temperature treatment in the absence of plant roots.","locations":["POLYGON((-73.136 -13.48, -73.136 -11.572, -68.834 -11.572, -68.834 -13.48, -73.136 -13.48))"],"metadataDate":"2026-07-24T21:14:24.000Z","organisation":["University of Leeds","University of Helsinki","Pontificia Universidad Católica del Peru","University of Vienna","University of Edinburgh","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4077c5f8-9a36-4112-8a86-604ccffbb363","10.5285/4077c5f8-9a36-4112-8a86-604ccffbb363","doi:10.5285/4077c5f8-9a36-4112-8a86-604ccffbb363"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/03prydq77","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains soil microbial carbon cycling parameters (growth, respiration, carbon use efficiency) using O18-incorporation into DNA method, microbial biomass by fumigation-extraction), bacterial and fungal necromass concentrations (by amino sugars), soil chemical…","state":"published","supplementalDescription":["Nottingham, A. T., Karhu, K., Salinas, N., Schnecker, J., Sietiö, O.-M., Martin-Vivanco, A. K., Wanek, W., & Meir, P. (2025). Microbial death in the Andes: necromass declines despite growth and carbon-use-efficiency increases with decadal soil warming. Soil Biology and Biochemistry, 110002."],"title":"Soil microbial carbon cycling parameters, necromass carbon content, and soil-environmental properties for two experimental systems over a 3.4 km elevation gradient in Peru","topic":["0/Soil/","0/Climate and climate change/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Webb","Scarlett","Gozzard","Armstrong","Wickham","Edwards"],"authorFullName":["Webb, G.","Scarlett, P.","Gozzard, E.","Armstrong, L.","Wickham, H.","Edwards, F."],"authorGivenName":["G.","P.","E.","L.","H.","F."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains chemical determinants of river water samples collected from the Wolf and Tamar catchments in South West England in December 2013. It is a part of the Centre for Ecology & Hydrology South West (SW) Project.","documentType":"GEMINI_DOCUMENT","familyName":["Webb","Scarlett","Gozzard","Armstrong","Wickham","Edwards"],"fullName":["Webb, G.","Scarlett, P.","Gozzard, E.","Armstrong, L.","Wickham, H.","Edwards, F."],"givenName":["G.","P.","E.","L.","H.","F.","Francois"],"identifier":"c8c0b0d1-75d7-4127-92b2-5e87bb5a958d","incomingCitationCount":0,"keyword":["Tamar catchment","Tellus South West Project","Water quality"],"keywordsPlace":["Tamar catchment"],"keywordsProject":["Tellus South West Project"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The suite of chemical determinants in river water samples were collected from the Wolf/Tamar catchment in December 2013. The sampling sites were determined from maps and in field to provide good spatial coverage of the Wold River through to the Tamar River. A 5 litre bucket was filled with stream water. An Ultrameter multiprobe was used to measure water temperature, conductivity, Ph and organic reactive phosphorous (ORP) in the field. A 300 ml sample of water from the bucket was taken in a plastic bottle, constituting the 'unfiltered' sample. A second 300ml bottle was filled with water filtered through a syringe and filter (GFC 0.45­μm),constituting the 'filtered' sample. Samples were kept in the cold and removed to the laboratory for analyses. The standard chemistry methods were used for analyzing NH4, TDP and other chemical determinants.","locations":["POLYGON((-4.307 50.533, -4.307 50.737, -4.191 50.737, -4.191 50.533, -4.307 50.533))"],"metadataDate":"2026-07-25T14:03:28.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-04-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c8c0b0d1-75d7-4127-92b2-5e87bb5a958d","10.5285/c8c0b0d1-75d7-4127-92b2-5e87bb5a958d","doi:10.5285/c8c0b0d1-75d7-4127-92b2-5e87bb5a958d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains chemical determinants of river water samples collected from the Wolf and Tamar catchments in South West England in December 2013. It is a part of the Centre for Ecology & Hydrology South West (SW) Project.","state":"published","supplementalName":["Tellus South West Project website"],"temporalExtentText":"Data collected from 2013 to 2013","title":"Water Chemistry Data from the Wolf and Tamar catchment in South West England","topic":["0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Greenfield","Graf","Rengaraj","Bargiela","Williams","Golyshin","Chadwick","Jones"],"authorFullName":["Greenfield, L.M.","Graf, M.","Rengaraj, S.","Bargiela, R.","Williams, G.B.","Golyshin, P.N.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["L.M.","M.","S.","R.","G.B. ","P.N.","D.R.","D.L."],"authorOrcid":["0000-0003-3273-2655","0000-0001-7994-0529","0000-0003-1442-3269","0000-0002-5433-0350","0000-0002-8479-8157","0000-0002-1482-4209"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains field data on nitrous oxide (N2O) emissions, microbial community composition, crop yield and growth and soil biochemical properties. The field trial consisted of three different treatments of control, conventional microplastic addition and biodegradable microplastic addition where winter barley was grown. The data presented are from field and laboratory measurements. Data was collected by the data authors. The field trial was carried out from September 2020 to July 2021 at Henfaes Field Centre, UK.\n\nResearch was funded through NERC Grant NE/V005871/1. Do agricultural microplastics undermine food security and sustainable development in developing countries?","documentType":"GEMINI_DOCUMENT","familyName":["Greenfield","Graf","Rengaraj","Bargiela","Williams","Golyshin","Chadwick","Jones"],"fullName":["Greenfield, L.M.","Graf, M.","Rengaraj, S.","Bargiela, R.","Williams, G.B.","Golyshin, P.N.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["L.M.","M.","S.","R.","G.B. ","P.N.","D.R.","D.L."],"grant":["NE/V005871/1"],"identifier":"a5410834-1c38-455b-a850-3fb3434d4bb0","incomingCitationCount":0,"keyword":["Bioplastic","synthetic plastic","nitrogen cycle","greenhouse gas","degradable plastic waste","plastic","yield (agricultural)","nitrogen oxides","soil"],"keywordsOther":["Bioplastic","synthetic plastic","nitrogen cycle","greenhouse gas","degradable plastic waste","plastic","yield (agricultural)","nitrogen oxides","soil"],"licence":"Open government licence","lineage":"Data was either measured in situ in the field (N2O flux, soil moisture, rainfall and air temperature) or samples were taken, processed, and analysed in the laboratory (soil pH, electrical conductivity (EC), ammonium, nitrate, microbial community composition and crop yield). \n\nN2O flux data was measured on a mobile gas chromatograph (GC) system and integrated to obtain peak areas on Peak490Win10Canabis programme. The times, peak areas and sample ID were then exported into a .CHR file and imported into Flux.NET.3.3 which calculated N2O flux as an output in Excel which was exported as .csv file for deposit in EIDC. N2O flux was used to calculate cumulative N2O flux using trapezoidal integration in Excel and saved in a separate .csv file for deposit in EIDC.\n\nSoil moisture was measured on Accilmas with data stored as a .csv on a DataSnap that was downloaded and sorted by treatment and saved as a .csv file.\nRainfall and air temperature were downloaded from the weather station as .csv file.\nSoil pH and EC were recorded manually into a notebook and input into an Excel spreadsheet and exported as a .csv file.\nSoil ammonium and nitrate content was measured using the microplate method using a programme called Gen5. Date was exported into an Excel spreadsheet and absorbance units used to calculate ammonium/nitrate content in milligrams per kilogram using a calibration curve from a set of standards in an Excel spreadsheet. This was exported as a .csv file.\nCrop growth data was recorded in the field in a notebook and input into an Excel spreadsheet and exported as a .csv file.\nCrop yield was recorded in a notebook and input into an Excel spreadsheet and exported as a .csv file.\nMicrobial community composition was measured using 16S gene sequencing on an Illumina MiSeq. This generated raw sequencing reads which were processed using Python and filtered using QIIME v1.3.1. creating asv.count.table.csv of counts of each Amplicon Sequence Variants (ASVs) per sample and taxa.table.csv of the taxonomic lineage for each ASVs.","locations":["POLYGON((-4.052 53.214, -4.052 53.256, -3.994 53.256, -3.994 53.214, -4.052 53.214))"],"metadataDate":"2026-07-25T13:18:16.000Z","orcid":["0000-0003-3273-2655","0000-0001-7994-0529","0000-0003-1442-3269","0000-0002-5433-0350","0000-0002-8479-8157","0000-0002-1482-4209"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5410834-1c38-455b-a850-3fb3434d4bb0","10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0","doi:10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains field data on nitrous oxide (N2O) emissions, microbial community composition, crop yield and growth and soil biochemical properties. The field trial consisted of three different treatments of control, conventional microplastic addition and biodegradable…","state":"published","temporalExtentText":"Data collected from 2020 to 2021","title":"Nitrous oxide emissions and associated microbial diversity, soil biochemical properties and crop growth and yield from a field trial of winter barley with the addition of microplastics, Abergwyngregyn, UK, 2020-2021","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image). The 10 aggregate classes are groupings of the 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\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":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"c7195a20-7943-4d5d-9f6e-c9fead472dde","incomingCitationCount":0,"keyword":["Land cover","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The percentage aggregate class is produced from the 25m raster product (which is derived from the vector product) by:\n1. Using gdal_calc to aggregate the 23 target classes into the 10 aggregate classes saving them as 10 individual images (one for each class) where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2. Gdal_warp is then applied to each of the 10 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3. Gdal_merge is then used to create a single file with 10 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:02:46.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-10-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c7195a20-7943-4d5d-9f6e-c9fead472dde","10.5285/c7195a20-7943-4d5d-9f6e-c9fead472dde","doi:10.5285/c7195a20-7943-4d5d-9f6e-c9fead472dde"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Land Cover Map 1990 (1km percentage aggregate class, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["British Geological Survey","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bhattacharyya","Nicholls"],"authorFullName":["Bhattacharyya, A.","Nicholls, D."],"authorGivenName":["A.","D."],"authorOrcid":["0000-0003-3669-0675"],"authorRor":["https://ror.org/04a7gbp98","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about planktonic bacterial quantity at the drinking water pumping stations installed in three different aquifer types of England. The aim of data collection was to assess spatial and seasonal variation of groundwater bacterioplankton distribution and their dependence on organic matter, nutrient concentration and local hydrogeology. Untreated groundwater samples were collected from the intergranular sandstone aquifer of English Midlands and East Midlands, the dual porosity chalk aquifer of South East England and the karstic limestone aquifer of the Cotswolds. For temporal variation in each aquifer, the same aquifers were sampled during pre-recharge season in September-October 2022 and post-recharge season in January-February 2023. ","documentType":"GEMINI_DOCUMENT","familyName":["Bhattacharyya","Nicholls"],"fullName":["Bhattacharyya, A.","Nicholls, D."],"funder":["Natural Environment Research Council"],"givenName":["A.","D."],"grant":["NE/S007423/1"],"identifier":"b27ce2ee-89ee-428d-bcd5-4abd97141d62","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","groundwater quality","bacterium","organic carbon"],"keywordsOther":["groundwater quality","bacterium","organic carbon"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Groundwater bacterioplankton concentration distribution in drinking water sources are poorly characterised. Therefore we collected groundwater samples form drinking water pumping stations installed in Permo-Triassic sandstone aquifer of English Midlands and East Midlands, Cretaceous Chalk aquifer of South-East England and Jurassic Limestone aquifer of Cotswold, each with distinct aquifer properties.  From the intergranular sandstone, dual porosity chalk, and karstic limestone aquifers 29 , 32 , and 8  sites respectively were sampled in the pre-recharge and 34, 33, and 8 sites respectively were sampled in the peak-recharge seasons. \nThe bacterioplankton total cell concentration (TCC), high nucleic acid cell percentage (%HNA) and intact bacterial cell percentage (%ICC) were measured used Attune Cytpix Flow Cytometer. The data was collected in triplicate, filtered noisy data by manual inspection, and the current data contains average values from the triplicate and standard deviations of the replicated. Fluorescence organic matter (fOM) loading and fluorescence indices were measured using an Aqualog® fluorimeter (Horiba Scientific, Japan). Raw data was processed and PARAFAC analysis was performed using R package staRdom to find the fOM loading values. Dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations were measured on filtered groundwater samples using an Elementar Vario Cube (Elementar Ananlysensysteme GmbH; Langenselbold, Germany). Borehole depth, perforation depth, were assessed using BGS borehole logs. Confinement and surface water vulnerability interpretations were provided by respective water companies. ","locations":["POLYGON((-3.054 51.169, -3.054 53.226, 0.355 53.226, 0.355 51.169, -3.054 51.169))"],"metadataDate":"2026-07-25T12:54:02.000Z","orcid":["0000-0003-3669-0675"],"organisation":["British Geological Survey","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Lancaster University"],"publicationDate":"2025-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b27ce2ee-89ee-428d-bcd5-4abd97141d62","10.5285/b27ce2ee-89ee-428d-bcd5-4abd97141d62","doi:10.5285/b27ce2ee-89ee-428d-bcd5-4abd97141d62"],"resourceType":"Dataset","rightsHolder":["British Geological Survey","Lancaster University"],"ror":["https://ror.org/04a7gbp98","https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/04f2nsd36"],"shortenedDescription":"This dataset contains information about planktonic bacterial quantity at the drinking water pumping stations installed in three different aquifer types of England. The aim of data collection was to assess spatial and seasonal variation of groundwater bacterioplankton…","state":"published","temporalExtentText":"Data collected from 2022 to 2022; Data collected from 2023 to 2023","title":"Groundwater bacterioplankton, fluorescent organic matter and nutrient concentration of three major aquifers in England, September-October 2022 and January-February 2023","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","De Ville","Fletcher","James","Thackeray"],"authorFullName":["Feuchtmayr, H.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Thackeray, S.J."],"authorGivenName":["H.","M.M.","J.M. ","J.B. ","S.J."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of a long-term monitoring dataset from fortnightly sampling at the North Basin of Windermere in Cumbria, England. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise hypolimnion temperature (TEMP) in degree Celsius, and hypolimnion dissolved oxygen concentration (DO) in mg per litre. All data have been measured in a depth of 60 to 62 m. All data are from January 2005 until the end of 2009.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","De Ville","Fletcher","James","Thackeray"],"fullName":["Feuchtmayr, H.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.M.","J.M. ","J.B. ","S.J."],"grant":["NE/R016429/1"],"identifier":"83aece7c-6ff0-4414-87ce-71ba27083b92","incomingCitationCount":0,"keyword":["Lake District","Water quality","Lake monitoring","hypolimnion","dissolved oxygen","water temperature of lake, stagnant surface water"],"keywordsOther":["Lake monitoring","hypolimnion","dissolved oxygen","water temperature of lake, stagnant surface water"],"keywordsPlace":["Lake District"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions or staff shortage.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. \n","locations":["POLYGON((-2.985 54.367, -2.985 54.425, -2.898 54.425, -2.898 54.367, -2.985 54.367))"],"metadataDate":"2026-07-25T08:37:29.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/83aece7c-6ff0-4414-87ce-71ba27083b92","10.5285/83aece7c-6ff0-4414-87ce-71ba27083b92","doi:10.5285/83aece7c-6ff0-4414-87ce-71ba27083b92"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of a long-term monitoring dataset from fortnightly sampling at the North Basin of Windermere in Cumbria, England. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise hypolimnion temperature…","state":"published","temporalExtentText":"Data collected from 2005 to 2009","title":"Hypolimnion temperature and oxygen data from Windermere North Basin, UK, 2005-2009","topic":["0/Water quality/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Marshall","Cooper","Glanville","Jones"],"authorFullName":["Marshall, M.R.","Cooper, D.M.","Glanville, H.C.","Jones, D."],"authorGivenName":["M.R.","D.M.","H.C. ","D."],"authorOrcid":["0000-0003-2869-0616","0000-0001-7578-7918","0000-0002-8192-6678"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented of tensiometer measurements as centimetres of water from a field experiment in the Conwy catchment. The data were collected between October 2013 and January 2015 using tensiometers inserted into boreholes.\n\nThe data were collected by trained members of staff from Bangor University and the Centre for Ecology & Hydrology.\n\nThe samples were taken to provide supporting information for assessing the relationship between soil microbial populations and soil moisture status.\n\nThe data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Marshall","Cooper","Glanville","Jones"],"fullName":["Marshall, M.R.","Cooper, D.M.","Glanville, H.C.","Jones, D."],"funder":["Natural Environment Research Council"],"givenName":["M.R.","D.M.","H.C. ","D."],"grant":["NE/J011991/1"],"identifier":"875ca233-ffaa-45c2-b4d2-db7d21bc0e61","incomingCitationCount":0,"keyword":["Tensiometer","Conwy catchment","Environmental survey","Soil","Turf2Surf (T2S)","Macronutrient Cycling Programme","MCP"],"keywordsInstrument":["Tensiometer"],"keywordsOther":["Turf2Surf (T2S)","Macronutrient Cycling Programme","MCP"],"keywordsPlace":["Conwy catchment"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"Tensiometers were inserted vertically into holes bored using a hand auger. Soil water potential was measured using refillable Delta-T Devices type SWT4R tensiometers connected to a Delta-T logger. Data were regularly downloaded using Delta-T software to a laptop. \nData were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC\n","locations":["POLYGON((-3.784 53.201, -3.784 53.204, -3.781 53.204, -3.781 53.201, -3.784 53.201))"],"metadataDate":"2026-07-25T08:39:30.000Z","orcid":["0000-0003-2869-0616","0000-0001-7578-7918","0000-0002-8192-6678"],"organisation":["Centre for Ecology & Hydrology","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-06-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/875ca233-ffaa-45c2-b4d2-db7d21bc0e61","10.5285/875ca233-ffaa-45c2-b4d2-db7d21bc0e61","doi:10.5285/875ca233-ffaa-45c2-b4d2-db7d21bc0e61"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"Data are presented of tensiometer measurements as centimetres of water from a field experiment in the Conwy catchment. The data were collected between October 2013 and January 2015 using tensiometers inserted into boreholes.\n\nThe data were collected by trained members…","state":"published","supplementalDescription":["Project website"],"supplementalName":["Turf2Surf"],"temporalExtentText":"Data collected from 2013 to 2015","title":"Tensiometer measurements from a field experiment in the Conwy valley, North Wales, UK (2013 - 2015)","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","danor"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"Overland flow data and soil water tension data at 10cm, 30cm, & 50cm from four manipulation plot sites located across the Pontbren study site in mid-Wales, UK.\n\nThe manipulation plots were established at different locations across the site between 2005-2012 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. Manipulation plot sites were located on improved grassland hillslopes and each site had three replicate plots. Following baseline monitoring different land use treatments were applied to individual plots. The different treatments were grazing (i.e. the control or no change), ungrazed and ungrazed with planting of trees. Details of the treatments can be found in the Pontbren Catchment Study Data Catalogue. \n\nOverland flow from a 10m x 2.5m isolated plot was measured within each treatment plot at each of the manipulation plot sites. Overland flow data were measured using tipping bucket monitoring systems and the number of tips occurring in a given time period recorded. Soil water tension (cm H2O) data were measured in each treatment plot using an array of tensiometers installed at 10 cm, 30 cm, and 50 cm depth.\n\nThe dataset contains four folders relating to the four manipulation plot sites. Within each folder are subfolders for overland flow runoff and soil water tension. Data are provided as text files and generally split into six-month blocks. \n\nNeutron probe access tubes were also installed in each of the manipulation plots to measure volumetric moisture content (cm3 cm-3) and two of the manipulation plots sites (1 and 4) also had rain gauges installed monitoring precipitation. The data thus collected are also available from the Environmental Information Data Centre. ","documentType":"GEMINI_DOCUMENT","identifier":"dbfed2a9-b7ba-4638-8f2a-f6ff6916e951","incomingCitationCount":0,"keyword":["United Kingdom","Wales","Pontbren","Soil"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Soil"],"licence":"Non-Open government licence","lineage":"Digital data subject to manual validation procedures during capture and transfer to the main geo database and through subsequent statistical analysis and modelling. Full details provided in the 'Pontbren Catchment Study Data catalogue' supplied as Supporting Documentation","locations":["POLYGON((-3.447 52.632, -3.447 52.656, -3.391 52.656, -3.391 52.632, -3.447 52.632))"],"metadataDate":"2026-07-25T14:23:33.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1331813918859","CEH:EIDC::1331813918859","https://catalogue.ceh.ac.uk/id/dbfed2a9-b7ba-4638-8f2a-f6ff6916e951"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Overland flow data and soil water tension data at 10cm, 30cm, & 50cm from four manipulation plot sites located across the Pontbren study site in mid-Wales, UK.\n\nThe manipulation plots were established at different locations across the site between 2005-2012 as part…","state":"published","supplementalDescription":["Wheater, Howard; Reynolds, Brian; McIntyre, Neil; Marshall, Miles; Jackson, Bethana; Frogbrook, Zoe; Solloway, Imogen; Francis, Oliver; Chell, Jo. 2008 Impacts of upland land management on flood risk: Multi-scale modeling methodology and results from the Pontbren experiment. Manchester, Flood Risk Management Research Consortium, 126pp. (FRMRC Research Report UR16, CEH Project Number: C02699)","Marshall, M.R., Francis, O.J., Frogbrook, Z.L., Jackson, B.M., McIntyre, N., Reynolds, B., … Chell, J. (2009). The impact of upland land management on flooding: results from an improved pasture hillslope. Hydrological Processes, 23(3), 464–475."],"supplementalName":["The Flood Risk Management Research Consortium (FRMC) website"],"temporalExtentText":"Data collected from 2005 to 2010","title":"Pontbren land use manipulation plot data","topic":["0/Soil/"],"version":1.0,"view":["public","bpu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Rankin","McShane"],"authorFullName":["Feuchtmayr, H.","Rankin, G.","McShane, G."],"authorGivenName":["H.","G."],"authorOrcid":["0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises hourly water temperature data of an experimental mesocosm facility as well as air temperatures from beginning of July to end of September 2022. The experiment aimed to investigate the effect of different nutrient regimes on Taste and Odour issues. Mesocosms were filled with reservoir water and water temperature was measured by platinum resistance thermometers (PRT) shaded by a plastic cover, sited around mid-depth, radially offset by 30 cm from the mesocosm's side wall and logged by a Campbell Scientific Data Logger. Air temperature was measured at a weather station within the mesocosm compound (Vaisala weather transmitter WXT520) at around 2.7m height.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Rankin","McShane"],"fullName":["Feuchtmayr, H.","Rankin, G.","McShane, G."],"funder":["European Union"],"givenName":["H.","G.","Heidrun"],"identifier":"2858a0e9-9b20-4c2c-892c-4a99fe49e315","incomingCitationCount":0,"keyword":["Mesocosm experiment","Freshwater","Lancaster","Water temperature","Air temperature ","AQUACOSM-plus"],"keywordsOther":["Mesocosm experiment","Freshwater","Lancaster","Water temperature","Air temperature ","AQUACOSM-plus"],"licence":"Open government licence","lineage":"The hourly average presented here is calculated from 5-minutely data over the following hour, e.g. the value for 1 p.m. is the average of the data between 1 and 1:55 p.m. All data is given in GMT (Greenwich Mean Time) and dates from 6th July to 30th September 2022. \n\nWhenever the difference between the hourly averaged two water temperature sensor data was less than 0.2 °C, the average between both temperatures was calculated. If the difference was larger than 0.2 °C, data was checked against the overall average of the temperature sensors recorded by each data logger. Whenever the difference was larger than 0.2 °C, one of the two temperature sensors had drifted either higher than the average or below the average temperature. In those cases, this sensor was ignored and only data from one temperature sensor was used during those occasions (see table in the supporting documentation).\n","metadataDate":"2026-07-24T19:28:45.000Z","observedPropertyTitle":["Temperature in degrees C in mesocosm number 2","Temperature in degrees C in mesocosm number 3","Temperature in degrees C in mesocosm number 4","Temperature in degrees C in mesocosm number 5","Temperature in degrees C in mesocosm number 6","Temperature in degrees C in mesocosm number 7","Temperature in degrees C in mesocosm number 8","Temperature in degrees C in mesocosm number 9","Temperature in degrees C in mesocosm number 10","Temperature in degrees C in mesocosm number 11","Temperature in degrees C in mesocosm number 12","Temperature in degrees C in mesocosm number 13","Temperature in degrees C in mesocosm number 14","Temperature in degrees C in mesocosm number 15","Temperature in degrees C in mesocosm number 18","Temperature in degrees C in mesocosm number 19","Temperature in degrees C in mesocosm number 20","Temperature in degrees C in mesocosm number 21","Temperature in degrees C in mesocosm number 22","Temperature in degrees C in mesocosm number 23","Temperature in degrees C in mesocosm number 24","Temperature in degrees C in mesocosm number 25","Temperature in degrees C in mesocosm number 26","Temperature in degrees C in mesocosm number 27","Temperature in degrees C in mesocosm number 28","Temperature in degrees C in mesocosm number 29","Temperature in degrees C in mesocosm number 30","Temperature in degrees C in mesocosm number 31","Air temperature in degrees C"],"observedPropertyValue":["T2","T3","T4","T5","T6","T7","T8","T9","T10","T11","T12","T13","T14","T15","T18","T19","T20","T21","T22","T23","T24","T25","T26","T27","T28","T29","T30","T31","AirT"],"orcid":["0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2858a0e9-9b20-4c2c-892c-4a99fe49e315","10.5285/2858a0e9-9b20-4c2c-892c-4a99fe49e315","doi:10.5285/2858a0e9-9b20-4c2c-892c-4a99fe49e315"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises hourly water temperature data of an experimental mesocosm facility as well as air temperatures from beginning of July to end of September 2022. The experiment aimed to investigate the effect of different nutrient regimes on Taste and Odour issues.…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Hourly water temperature of 28 experimental mesocosms and air temperature from July to September 2022","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of the Highlands and Islands","University of Nottingham","Terra Motion Ltd","University of Nottingham "],"authorFamilyName":["Marshall","Large","Andersen","Bradley","Sowter","Gilbert","Sterk","Marsh"],"authorFullName":["Marshall, C.","Large, D.J.","Andersen, R.","Bradley, A.W.","Sowter, A.","Gilbert, P.","Sterk, H.P.","Marsh, S."],"authorGivenName":["C. ","D.J.","R.","A.W.","A.","P.","H.P.","S."],"authorOrcid":["0000-0003-2697-5394","0000-0003-0559-8526","0000-0002-7782-795X","0000-0003-2356-0951"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The datasets contain Interferometric Synthetic Aperture Radar (InSAR) measurements carried out over Caithness and Sutherland in order to measure peatland surface motion over the Flow Country using the Advanced Pixel System Intermittent Small Baseline Subset InSAR technique (APSIS InSAR). The data covers surface motion across all landcover types within the survey area. It includes timeseries of peat surface height and long term mean motion over the survey period. Data was collected on a 6-12 day basis from 12/3/2015-7/7/2019. Missing pixels are associated with low coherence and are excluded. Missing survey dates are associated with processing issues or poor coherence. Data processing was carried out by Terra Motion Ltd.","documentType":"GEMINI_DOCUMENT","familyName":["Marshall","Large","Andersen","Bradley","Sowter","Gilbert","Sterk","Marsh"],"fullName":["Marshall, C.","Large, D.J.","Andersen, R.","Bradley, A.W.","Sowter, A.","Gilbert, P.","Sterk, H.P.","Marsh, S."],"givenName":["C. ","D.J.","R.","A.W.","A.","P.","H.P.","S.","Christopher"],"identifier":"7c2778bf-b498-4ba2-b8cb-60a2081e5ba7","incomingCitationCount":1,"keyword":["InSAR","Flow County","Peat surface motion","Peatland","peat"],"keywordsOther":["InSAR","Flow County","Peat surface motion","Peatland","peat"],"licence":"Open government licence","lineage":"All data were generated by the authors. InSAR measurements were made using a Maximum horizontal baseline was restricted to 250m with maximum temporal separation of 1 year using a coherence threshold of 0.25 and point threshold of 360. Motion was measured relative to a stable reference point at Wick Airport (58.4533° N, 3.0879° W). Data was checked in house by Terra Motion Ltd during and after processing.","locations":["POLYGON((-5.777 57.684, -5.777 58.941, -2.6 58.941, -2.6 57.684, -5.777 57.684))"],"metadataDate":"2026-07-25T06:57:20.000Z","orcid":["0000-0003-2697-5394","0000-0003-0559-8526","0000-0002-7782-795X","0000-0003-2356-0951"],"organisation":["University of the Highlands and Islands","University of Nottingham","Terra Motion Ltd","University of Nottingham ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c2778bf-b498-4ba2-b8cb-60a2081e5ba7","10.5285/7c2778bf-b498-4ba2-b8cb-60a2081e5ba7","doi:10.5285/7c2778bf-b498-4ba2-b8cb-60a2081e5ba7"],"resourceType":"Dataset","rightsHolder":["University of the Highlands and Islands"],"ror":["https://ror.org/04xw4m193","https://ror.org/02s08xt61"],"shortenedDescription":"The datasets contain Interferometric Synthetic Aperture Radar (InSAR) measurements carried out over Caithness and Sutherland in order to measure peatland surface motion over the Flow Country using the Advanced Pixel System Intermittent Small Baseline Subset InSAR technique…","state":"published","temporalExtentText":"Data collected from 2015 to 2019","title":"Interferometric Synthetic Aperture Radar ground motion and timeseries data over the Flow Country, Caithness and Sutherland, March 2015-July 2019","version":1.0,"view":["public","clwe"]},{"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":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey sites (timed counts, single-species transects, larval web and egg counts). Data includes the location within the UK, the length and number of sections for the butterfly transect on each site and the number of years each transect has been monitored. The location of some sites are sensitive and are excluded from this dataset. Users requiring access to the complete dataset, including sensitive site location data, can submit a request via the UKBMS website. The UKBMS started in 1976 with fewer than 50 sites. Since then the number of sites monitored each year has increased to several thousand. There are new sites each year and a small number where the transect is no longer surveyed. Details of this are provided in the site dataset in the form of the first and last year in which each site was surveyed.\n\nThe majority of site data is provided by recorders at the time a transect is created. Site data are crucial in order to determine where extra recording effort is required and to investigate where butterfly populations are changing most and thus where conservation should be targeted, including across different habitat types.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"givenName":["Marc S","Ian","James","Colin A","Jo","David B","Marc"],"identifier":"d7256b49-f2e3-4ae7-907d-af729610c768","incomingCitationCount":0,"keyword":["Biodiversity","Leipidoptera","BReVI","butterfly"],"keywordsOther":["Leipidoptera","BReVI","butterfly"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T11:51:00.000Z","orcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","Joint Nature Conservation Committee"],"publicationDate":"2025-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d7256b49-f2e3-4ae7-907d-af729610c768","10.5285/d7256b49-f2e3-4ae7-907d-af729610c768","doi:10.5285/d7256b49-f2e3-4ae7-907d-af729610c768"],"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"],"shortenedDescription":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"United Kingdom Butterfly Monitoring Scheme: site location data 2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institute of Occupational Medicine (IOM)"],"authorFamilyName":["Reis","Liska","Steinle","Carnell","Leaver","Roberts","Vieno","Beck","Dragosits"],"authorFullName":["Reis, S.","Liska, T.","Steinle, S.","Carnell, E.","Leaver, D.","Roberts, E.","Vieno, M.","Beck, R.","Dragosits, U."],"authorGivenName":["S.","T.","E.","D.","M.","R.","U."],"authorOrcid":["0000-0003-2428-8320","0000-0003-0870-1955","0000-0001-7741-9377","0000-0002-9283-6467"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid"],"description":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2011 and Land Cover Map 2015 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2011 UK Census population data on Output Area level with Land Cover Map 2015 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).","documentType":"GEMINI_DOCUMENT","familyName":["Reis","Liska","Steinle","Carnell","Leaver","Roberts","Vieno","Beck","Dragosits"],"fullName":["Reis, S.","Liska, T.","Steinle, S.","Carnell, E.","Leaver, D.","Roberts, E.","Vieno, M.","Beck, R.","Dragosits, U."],"givenName":["S.","T.","E.","D.","M.","R.","U.","Stefan"],"identifier":"0995e94d-6d42-40c1-8ed4-5090d82471e1","incomingCitationCount":18,"keyword":["Mapping","Environmental risk","human population","land cover"],"keywordsOther":["human population","land cover"],"keywordsTheme":["Mapping","Environmental risk"],"licence":"Open government licence","lineage":"Census data from the Office of National Statistics have been downloaded as CSV files.\n\nLand Cover Map 2015 vector data has been obtained from CEH.\n\nOutput Area geography data (Extent of the Realm), were obtained for England & Wales, Northern Ireland, and Scotland.\n\nThe processing steps are detailed in the Supporting Documentation.\n\nTo ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2011 Census totals. In particular due to the clipping process, which merges data on different geographies, areas where population data are provided on administrative boundaries and areas which contain urban, suburban and urban industrial land use parcels, some inconsistencies are inevitable. In addition, the Land Cover Map has been generated in 2015 (with satellite data compiled prior to the release, whereas Census data was obtained in 2011. In the period in between, changes in residential areas will have emerged, which result in different urban or suburban land use data in LCM 2015 compared to the 2011 census (e.g. newly developed residential areas). While there is a difference between residential and workday populations in the Census dataset of 0.107%, the same population figure has been assumed for scaling. As a result, the final output file is consistent with the Census total population for the UK in 2011 within 0.0012% for residential and 0.0005% for workday populations respectively.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:58:16.000Z","orcid":["0000-0003-2428-8320","0000-0003-0870-1955","0000-0001-7741-9377","0000-0002-9283-6467"],"organisation":["Centre for Ecology & Hydrology","Institute of Occupational Medicine (IOM)","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0995e94d-6d42-40c1-8ed4-5090d82471e1","10.5285/0995e94d-6d42-40c1-8ed4-5090d82471e1","doi:10.5285/0995e94d-6d42-40c1-8ed4-5090d82471e1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2011 and Land Cover Map 2015 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales,…","state":"published","title":"UK gridded population 2011 based on Census 2011 and Land Cover Map 2015","topic":["0/Mapping/","0/Environmental risk/"],"version":2.0,"view":["public","leav"]},{"authorAffiliation":["University of Manchester","James Hutton Institute"],"authorFamilyName":["Johnson","Ardanuy","Taylor"],"authorFullName":["Johnson, D.","Ardanuy, A.","Taylor, A.F.S."],"authorGivenName":["David","A.","A.F.S."],"authorOrcid":["0000-0003-2299-2525","0000-0003-0727-8171"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are derived from Alnus glutinosa plants grown in intact soil cores collected from beneath three co-occurring tree species.  The data describe plant above and below ground biomass, coarse and fine root biomass, colonisation of roots by Frankia and ectomycorrhizal fungi, ecosystem carbon fluxes, capture of 13C from a pulse labelling process, 15N content of leaves, and soil nutrients.  ","documentType":"GEMINI_DOCUMENT","familyName":["Johnson","Ardanuy","Taylor"],"fullName":["Johnson, D.","Ardanuy, A.","Taylor, A.F.S."],"funder":["Natural Environment Research Council"],"givenName":["David","A.","A.F.S.","D."],"grant":["NE/M015653/1","NE/M015653/2"],"identifier":"8816a55a-0e2e-4414-872f-3575170585dc","incomingCitationCount":0,"keyword":["Ectomycorrhiza","carbon flux","nitrogen uptake","soil nutrients","Alnus glutinosa","symbiosis"],"keywordsOther":["Ectomycorrhiza","carbon flux","nitrogen uptake","soil nutrients","Alnus glutinosa","symbiosis"],"licence":"Open government licence","lineage":"Plants were transplanted into cores and grown in a controlled environmental facility. Soil nutrient data was collected from the cores using a combination of ion-exchange probes and acid digestion. A pulse labelling procedure was undertaken to provide 13CO2 to plants, and 3 days later the cores were dismantled and harvested. Analytical facilities were checked for quality control against known standards, and the entire dataset collated and scrutinised for outliers and unusual values.","metadataDate":"2026-07-25T08:39:54.000Z","orcid":["0000-0003-2299-2525","0000-0003-0727-8171"],"organisation":["University of Manchester","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-12-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8816a55a-0e2e-4414-872f-3575170585dc","10.5285/8816a55a-0e2e-4414-872f-3575170585dc","doi:10.5285/8816a55a-0e2e-4414-872f-3575170585dc"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"The data are derived from Alnus glutinosa plants grown in intact soil cores collected from beneath three co-occurring tree species.  The data describe plant above and below ground biomass, coarse and fine root biomass, colonisation of roots by Frankia and ectomycorrhizal…","state":"published","title":"Plant biomass, nutrition, carbon flux and soil nutrients in common alder (Alnus glutinosa) grown on home and away soil from Aberdeenshire, Scotland","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Reading"],"authorFamilyName":["Pena","Tibbett"],"authorFullName":["Pena, R.","Tibbett, M."],"authorGivenName":["R.","M."],"authorOrcid":["0000-0002-7985-6906","0000-0003-0143-2190"],"authorRor":["https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset encompasses 1) Detailed measurements of root architecture parameters - numerical values for Total length (cm), Area (cm²), Surface area (cm²), Average diameter (mm); Root volume (cm³), Number of tips, forks, and crossings; and 2) The physiological responses of poplar trees under varying light conditions - measurements of Transpiration rate (mmol m⁻² s⁻¹), Net CO₂ assimilation rate (µmol m⁻² s⁻¹), Intercellular CO₂ concentration (µmol mol⁻¹),   Intercellular CO₂ partial pressure (Pa),  and Stomatal conductance to water vapour (mol m⁻² s⁻¹). Data were generated in a glasshouse experiment under elevated CO₂ (740 µmol mol⁻¹).\nThe Root Architecture data was collected when the trees were six months old. Net Photosynthesis Light Curves were recorded at four time points, starting when the poplar  trees were two months old and continuing until they were six months old. \n\nThe root architecture data were obtained through WinRhizo scanning and software (Regent Instruments Inc., Quebec City, QC, Canada). The physiological measurements were recorded using LI-6800P Portable Photosynthesis System (LI-COR Biosciences, Lincoln, NE, USA). To construct the light curves, measurements were taken starting from a maximum light intensity of 1500 PPFD (µmol m⁻² s⁻¹) and subsequently decreased to 800, 200 and 50 µmol m⁻² s⁻¹ until no light was applied.\n\nIn this experiment, micro-propagated poplar clones were cultivated under four different conditions: without fungi (fungal-free plants), with ectomycorrhizal fungi (ectomycorrhizal plants), with saprotrophic fungi (saprotrophic fungal plants), and with both ectomycorrhizal and saprotrophic fungi (fungal plants). The purpose of the experiment was to evaluate plant performance under the influence of different fungal guilds and their interactions.","documentType":"GEMINI_DOCUMENT","familyName":["Pena","Tibbett"],"fullName":["Pena, R.","Tibbett, M.","Rodica Pena"],"funder":["Natural Environment Research Council"],"givenName":["R.","M.","Rodica"],"grant":["NE/W005816/1"],"identifier":"82721bfc-d707-4255-bc5b-4d5882f9881b","incomingCitationCount":0,"keyword":["Soil","Biodiversity","WinRhizo","light curves","ectomycorrhiza","saprotrophs","poplar clone"],"keywordsOther":["WinRhizo","light curves","ectomycorrhiza","saprotrophs","poplar clone"],"keywordsTheme":["Soil","Biodiversity"],"licence":"Open government licence","lineage":"The plant material used was Populus canescens (grey poplar), a hybrid between Populus tremula and Populus alba. The poplar clones were initially aseptically cultivated in Murashige and Skoog (MS) medium and subsequently transferred to a sandy substrate. The trees were harvested at six months old. The entire root system was collected and immediately scanned using the WinRhizo system. The obtained images were automatically processed using the device's internal software, ensuring accuracy and consistency. No additional data processing was required. Physiological measurements were conducted regularly at four time points during the growth period in the sandy substrate, from when the trees were two months old until they reached six months. Data were collected and processed using the LI-6800P system's internal software, ensuring no additional data processing was necessary. Once collected, the data were controlled to ensure integrity and accuracy and then transferred to the data bank.","metadataDate":"2026-07-25T08:36:50.000Z","orcid":["0000-0002-7985-6906","0000-0003-0143-2190"],"organisation":["University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/82721bfc-d707-4255-bc5b-4d5882f9881b","10.5285/82721bfc-d707-4255-bc5b-4d5882f9881b","doi:10.5285/82721bfc-d707-4255-bc5b-4d5882f9881b"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset encompasses 1) Detailed measurements of root architecture parameters - numerical values for Total length (cm), Area (cm²), Surface area (cm²), Average diameter (mm); Root volume (cm³), Number of tips, forks, and crossings; and 2) The physiological responses…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Physiological measurements and root morphology of poplar trees cultivated with different fungal guilds","topic":["0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image). The 10 aggregate classes are groupings of the 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"1278d7b5-da47-46b5-b1a6-049e726425a7","incomingCitationCount":0,"keyword":["Land cover","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The percentage aggregate class is produced from the 25m raster product (which is derived from the vector product) by:\n1. Using gdal_calc to aggregate the 23 target classes into the 10 aggregate classes saving them as 10 individual images (one for each class) where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2. Gdal_warp is then applied to each of the 10 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3. Gdal_merge is then used to create a single file with 10 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T19:09:04.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1278d7b5-da47-46b5-b1a6-049e726425a7","10.5285/1278d7b5-da47-46b5-b1a6-049e726425a7","doi:10.5285/1278d7b5-da47-46b5-b1a6-049e726425a7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Land Cover Map 1990 (1km percentage aggregate class, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}