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H.B.","Ormerod, S.J.","Pye, M.C.","Sauvadet, A.","Gutierrez-Canovas, C.","Woodward, G."],"authorGivenName":["I.","H.B.","S.J.","M.C.","A-L.","C.","G."],"authorOrcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-8174-302X","0000-0002-6785-4049"],"authorRor":["https://ror.org/03kk7td41","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data are algal production values in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as a control (no addition of deciduous leaves). In order to characterise the algal production of the studied streams, algal biofilm samples were collected from tiles previously placed, during January 2013 (before deciduous leaf addition) and March 2013 (after deciduous leaf addition) in each sampling reach. The main goal of this survey was to examine how aquatic biodiversity and organic matter stocks respond to deciduous leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley, Dr Anne-Laure Sauvadet and Marian Pye were in charge of collecting, processing and sorting the samples. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Durance","Feeley","Ormerod","Pye","Sauvadet","Gutierrez-Canovas","Woodward"],"fullName":["Durance, I.","Feeley, H.B.","Ormerod, S.J.","Pye, M.C.","Sauvadet, A.","Gutierrez-Canovas, C.","Woodward, G."],"funder":["Natural Environment Research Council"],"givenName":["I.","H.B.","S.J.","M.C.","A-L.","C.","G.","Isabelle"],"grant":["NE/J014818/1"],"identifier":"f13b0975-6af4-4315-9e4f-63a1cb4bd796","incomingCitationCount":0,"keyword":["Wales","Plynlimon","Llyn Brianne","algal production","land use","ecosystem services","decomposition","biological diversity"],"keywordsOther":["algal production","land use","ecosystem services","decomposition","biological diversity"],"keywordsPlace":["Wales","Plynlimon","Llyn Brianne"],"licence":"Open government licence","lineage":"Each stream was divided into an upstream control zone and a downstream experimental zone. Samples of algal biofilm were collected from tiles previously placed on each sampling site. Deciduous leaves were added directly to the stream and by fixing 'Onion bags' of leaves the stream bed and bank. Algal samples were collected two occasions, January (3-16/01/2013), and March (11-14/03/2013) in all the streams in both the upstream reference zones and downstream experimental zones. Six experimental units (algal tiles) were placed randomly in each reach of the experimental sites before and after the manipulation. Chlorophyll a accrual on tiles was used as a proxy measure of algal production and herbivory rates measured over the sampling periods (after Hladyz et al. 2011). Unglazed ceramic tiles (100 millimetres x 100 millimetres) were glued in pairs to house bricks, which were fixed to the benthos with a rebar stake placed through a hole in the brick centre. The vertical edges of one tile on each brick were coated with a layer of petroleum jelly to deter crawling gazers, and the other tile was left as a control, to assess the strength of grazing pressure. Chlorophyll was extracted using acetone, and the concentration subsequently measured spectrophotometrically (after Layer et al. 2010). Data was entered into an Excel spreadsheet and then exported as a comma separated value file for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-3.785 52.107, -3.785 52.518, -3.641 52.518, -3.641 52.107, -3.785 52.107))"],"metadataDate":"2026-09-02T13:41:00.000Z","orcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-8174-302X","0000-0002-6785-4049"],"organisation":["Cardiff University","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f13b0975-6af4-4315-9e4f-63a1cb4bd796","10.5285/f13b0975-6af4-4315-9e4f-63a1cb4bd796","doi:10.5285/f13b0975-6af4-4315-9e4f-63a1cb4bd796"],"resourceType":"Dataset","ror":["https://ror.org/03kk7td41","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"These data are algal production values in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches).…","state":"published","supplementalDescription":["Hladyz, S., Åbjörnsson, K., Giller, P.S., & Woodward, G. (2011). Impacts of an aggressive riparian invader on community structure and ecosystem functioning in stream food webs. Journal of Applied Ecology, 48(2), 443–452.","Layer, K., Riede, J.O., Hildrew, A.G. and Woodward, G., 2010. Food web structure and stability in 20 streams across a wide pH gradient. Advances In Ecological Research, 42, pp.265-299.","Jenkins, G.B., Woodward, G. and Hildrew, A.G., 2013. Long-term amelioration of acidity accelerates decomposition in headwater streams. Global change biology, 19(4), pp.1100-1106."],"title":"Algal primary production of Welsh upland rivers in response to organic matter addition (2013)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University "],"authorFamilyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"authorFullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"authorGivenName":["K.","O.","E.","L.M.","G.","B."],"authorOrcid":["0000-0002-9478-5966","0000-0002-9732-4583","0000-0002-9120-6236","0000-0001-5732-1532","0000-0001-6943-9773","0000-0002-2750-3914"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for the same samples are found in accompanying files. ","documentType":"GEMINI_DOCUMENT","familyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"fullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["K.","O.","E.","L.M.","G.","B."],"identifier":"8d5af777-384c-4114-af6b-69cdac239810","incomingCitationCount":0,"keyword":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"keywordsOther":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"licence":"Open government licence","lineage":"The dataset was generated as a part of the NERC-funded project NE/X012980/1 ‘Determining vitamin D status in precontact Western Alaska: a new method for exploring past health and dietary adaptations to high-latitude living’, as well as from an earlier (internally-allocated) BBSRC-funded pilot study (in the case of some of the isotope data). Vitamin D data were all generated at the University of Aberdeen, and isotope data were generated at SUERC (carbon, nitrogen, sulphur) and Boise State University (oxygen, hydrogen). ","locations":["POLYGON((-161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71))"],"metadataDate":"2026-07-25T08:42:21.000Z","orcid":["0000-0002-9478-5966","0000-0002-9732-4583","0000-0002-9120-6236","0000-0001-5732-1532","0000-0001-6943-9773","0000-0002-2750-3914"],"organisation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8d5af777-384c-4114-af6b-69cdac239810","10.5285/8d5af777-384c-4114-af6b-69cdac239810","doi:10.5285/8d5af777-384c-4114-af6b-69cdac239810"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for…","state":"published","title":"Vitamin D and stable isotope data from human hair from the archaeological site, Nunalleq, Alaska","version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Griffin","Cole","Xia"],"authorFullName":["Griffin, A.","Cole, S.","Xia, X."],"authorGivenName":["A.","S.","Xilin"],"authorOrcid":["0000-0001-8645-4561","0000-0003-4294-8687","0000-0002-5784-9211"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","NetCDF"],"description":"A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly from the CPM outputs, and a further 36000 (1000 events per ensemble member per time period) generated using an Empirical Beta Copula approach. This was generated for three periods: December 1980 to November 2000, December 2020 to November 2040 and December 2060-November 2080, to examine changes in widespread rainfall events over time due to climate change.","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Cole","Xia"],"fullName":["Griffin, A.","Cole, S.","Xia, X.","Adam Griffin"],"funder":["Science and Technology Facilities Council"],"givenName":["A.","S.","Xilin"],"grant":["ST/Y004000/1"],"identifier":"0d786a81-3c33-464e-a8fc-5fea233223bd","incomingCitationCount":0,"keyword":["Climate and climate change","Hydrology","Widespread rainfall","Extreme Value Statistics","UKCP18"],"keywordsOther":["Widespread rainfall","Extreme Value Statistics","UKCP18"],"keywordsTheme":["Climate and climate change","Hydrology"],"licence":"Open government licence","lineage":"Source data downloaded from Met Office HadUK repository.\nWidespread events extracted from CPM data using Python.\nSummaries calculated which also highlighted any errors in the process (QA)\nEmpirical Copula events simulated using CPM events in Python\nSummaries calculated for EC events highlighting any errors in the process (QA)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:01:36.000Z","orcid":["0000-0001-8645-4561","0000-0003-4294-8687","0000-0002-5784-9211"],"organisation":["UK Centre for Ecology & Hydrology","University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d786a81-3c33-464e-a8fc-5fea233223bd","10.5285/0d786a81-3c33-464e-a8fc-5fea233223bd","doi:10.5285/0d786a81-3c33-464e-a8fc-5fea233223bd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly…","state":"published","temporalExtentText":"Data collected from 1980 to 2000; Data collected from 2020 to 2040; Data collected from 2060 to 2080","title":"UK Climate Projections 2018 (UKCP18) Convection-Permitting Model (CPM) and Empirical Copula modelled widespread rainfall events for 1980-2000, 2020-2040 and 2060-2080","topic":["0/Climate and climate change/","0/Hydrology/"],"version":1.0,"view":["public","matnic"]},{"availability":"Unknown","catalogue":"eidc","description":"This series contains data on water quality, sanitary risks and patterns of water use by owners and customers of different groundwater sources in Kisumu, Kenya. Sanitary risk inspections were made and water samples taken from wells in the Manyatta and Migosi, and in some cases Nyalenda and Bandani, areas of Kisumu during February and March 2014. During the same period, well owners and customers were surveyed to find out about use patterns of the ground water abstracted. The survey also included questions about access to assets and services (e.g. electricity, toilet facilities) and questions to assess food poverty. Water samples were analysed in a laboratory for microbiological indicator bacteria (thermotolerant coliforms) and chemical contaminants. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme.","documentType":"GEMINI_DOCUMENT","identifier":"a1404d78-95f2-49f1-895c-8b62bcce4d4a","incomingCitationCount":0,"keyword":["Kenya","Kisumu","Manyatta","Migosi","urbanization","water pollution"],"keywordsOther":["water pollution"],"keywordsPlace":["Kenya","Kisumu","Manyatta","Migosi"],"keywordsTheme":["urbanization"],"licence":"Open government licence","lineage":"Data were collected using standardised protocols and trained staff. Laboratory equipment used to analyse samples were calibrated and duplicate samples run where quantity allowed. Selection of groundwater sources were based on those selected during a previous study in 2002-2004 run by VIRED and the University of Surrey. Additional sources used by this project were selected based on groundwater abstraction licence records held by the Water Resource Management Authority, Kisumu.","locations":["POLYGON((34.58333333 -0.183, 34.58333333 0.033, 34.91666667 0.033, 34.91666667 -0.183, 34.58333333 -0.183))"],"metadataDate":"2025-11-13T16:14:37.000Z","publicationDate":"2014-10-31T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1412333242239","CEH:EIDC::1412333242239","https://catalogue.ceh.ac.uk/id/a1404d78-95f2-49f1-895c-8b62bcce4d4a"],"resourceType":"Aggregation","shortenedDescription":"This series contains data on water quality, sanitary risks and patterns of water use by owners and customers of different groundwater sources in Kisumu, Kenya. Sanitary risk inspections were made and water samples taken from wells in the Manyatta and Migosi, and in…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Domestic urban groundwater quality and use data from Kisumu, Kenya","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Lancaster University","International Livestock Research Institute","National Museums of Kenya","Technical University of Munich"],"authorFamilyName":["Pearce","Kinuthia","Matheka","Olang","Rufino"],"authorFullName":["Pearce, F.","Kinuthia, K.","Matheka, K.","Olang, R.A.","Rufino, M."],"authorGivenName":["Fiona","Kelvin","Kennedy","Rosemary Atieno","Mariana"],"authorOrcid":["0000-0001-5437-2262","0009-0002-5275-8182","0000-0002-6255-1874","0009-0008-0892-3455","0000-0003-4293-3290"],"authorRor":["https://ror.org/04f2nsd36","https://ror.org/01jxjwb74","https://ror.org/04sjpp691","https://ror.org/02kkvpp62"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data contains information on semi-arid grassland plant diversity, cover and community composition collected between January 2023 and May 2025 i.e., in the three years following the 2022/23 drought, at the Kapiti Research Station and Wildlife Conservancy in Machakos Country, south-central Kenya (part of the International Livestock Research Institute). This comprises:\n1.\tResults of annual surveys of total vegetation cover and abundance (% cover) by plant species carried out during the rainy season (April/May) from 2023 to 2025 at 24 plots of 25 x 25 metres (eight plots in each of three sites). \n2.\tResults of a seedbank experiment undertaken in 2023 using soil samples from the same 24 plots. \n3.\tBasic soil parameters (topsoil clay, sand, total carbon, total nitrogen and total phosphorus content) for the three sites.","documentType":"GEMINI_DOCUMENT","familyName":["Pearce","Kinuthia","Matheka","Olang","Rufino"],"fullName":["Pearce, F.","Kinuthia, K.","Matheka, K.","Olang, R.A.","Rufino, M."],"funder":["Natural Environment Research Council","Technical University of Munich","DAAD Germany","International Livestock Research Institute"],"givenName":["Fiona","Kelvin","Kennedy","Rosemary Atieno","Mariana","Fiona "],"grant":["NE/S007423/1"],"identifier":"590953a8-7ed3-45dc-abc4-a3aa4190865b","incomingCitationCount":0,"keyword":["Agriculture","Biodiversity","Climate and climate change","Soil","Community composition","Drought","Ecosystem","Grassland","Kapiti Research Station","Kenya","Plant diversity","Post-drought recovery","Rangeland","Recovery","Vegetation","Restoration","Seedbank","Semi-arid"],"keywordsOther":["Biodiversity","Community composition","Drought","Ecosystem","Grassland","Kapiti Research Station","Kenya","Plant diversity","Post-drought recovery","Rangeland","Recovery","Vegetation","Restoration","Seedbank","Semi-arid"],"keywordsTheme":["Agriculture","Biodiversity","Climate and climate change","Soil"],"licence":"Open government licence","lineage":"Data were collected between 2023 and 2025 and analysed between 2023 and 2026. The collection and analysis methods are fully described in the metadata document.  QA steps included: (1) Data were entered and checked by different people (2) Species names were checked to ensure no duplicates exist in the dataset due to misspellings or alternative spellings / nomenclature. (3) Plant ID was verified using photographs and samples where queries remained. (4) Cross checks were completed such as comparing results of visual estimate of vegetation cover with total abundances by individual species.","locations":["POLYGON((37 -1.75, 37 -1.55, 37.2 -1.55, 37.2 -1.75, 37 -1.75))"],"metadataDate":"2026-07-24T23:07:12.000Z","orcid":["0000-0001-5437-2262","0009-0002-5275-8182","0000-0002-6255-1874","0009-0008-0892-3455","0000-0003-4293-3290"],"organisation":["Lancaster University","International Livestock Research Institute","National Museums of Kenya","Technical University of Munich","NERC EDS Environmental Information Data Centre","German Academic Exchange Service","Natural Environment Research Council"],"publicationDate":"2026-07-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/590953a8-7ed3-45dc-abc4-a3aa4190865b","10.5285/590953a8-7ed3-45dc-abc4-a3aa4190865b","doi:10.5285/590953a8-7ed3-45dc-abc4-a3aa4190865b"],"resourceType":"Dataset","rightsHolder":["International Livestock Research Institute","Lancaster University","Technical University of Munich","German Academic Exchange Service","Natural Environment Research Council"],"ror":["https://ror.org/04f2nsd36","https://ror.org/01jxjwb74","https://ror.org/04sjpp691","https://ror.org/02kkvpp62","https://ror.org/04xw4m193","https://ror.org/039djdh30","https://ror.org/02b5d8509"],"shortenedDescription":"This data contains information on semi-arid grassland plant diversity, cover and community composition collected between January 2023 and May 2025 i.e., in the three years following the 2022/23 drought, at the Kapiti Research Station and Wildlife Conservancy in Machakos…","state":"published","temporalExtentText":"Data collected from 2023 to 2025","title":"Semi-arid savanna grassland annual vegetation survey data, Kapiti Research Station, south-central Kenya, 2023-2025","topic":["0/Agriculture/","0/Biodiversity/","0/Climate and climate change/","0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Brooks","Winterbourn","Harvey","Robinson","Emmett"],"authorFullName":["Reinsch, S.","Brooks, M.R.","Winterbourn, J.B.","Harvey, R.J.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["S.","M.R.","J.B.","R.J.","D.A.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0002-7439-0393","0000-0001-7290-4867","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres) and soil moisture as metre cubed per metre cubed. The data run from 01/07/2015 until 31/08/2016. Data were recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January 2016 data were averaged half hourly. Data are then to averaged to daily values, which are reported here. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20 to 30 years. The reported plot level temperature and soil moisture data are important to evaluate the effect of the imposed climatic treatments on ecosystem processes and functioning. Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Data collection, processing and quality checking were carried out by CEH Bangor staff members.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Brooks","Winterbourn","Harvey","Robinson","Emmett"],"fullName":["Reinsch, S.","Brooks, M.R.","Winterbourn, J.B.","Harvey, R.J.","Robinson, D.A.","Emmett, B.A."],"givenName":["S.","M.R.","J.B.","R.J.","D.A.","B.A.","Sabine"],"identifier":"54de61a1-8749-4851-a1c0-c71f9d483c7d","incomingCitationCount":0,"keyword":["Clocaenog","Climate and climate change","heathland","meteorology"],"keywordsOther":["heathland","meteorology"],"keywordsPlace":["Clocaenog"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January  2016 data were averaged half hourly. The hourly or half hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry.This dataset combines daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Soil and air temperatures are measured with a T107 sensor from Campbell scientific. Soil moisture is measured with CS616 sensors from Campbell scientific.  Daily average values were downloaded to csv files for ingestion to the Environmental Information Data Centre.\n\nData were collected from the climate change field site Climoor which is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season. Warming roofs were in operation from 1st April 2014 - 19th November 2015 and were started again on 6th April 2016. Drought roofs were in operation 7th April - 23rd September 2015. The drought roofs were not in operation in 2016.\n","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-09-02T13:49:40.000Z","orcid":["0000-0003-4649-0677","0000-0002-7439-0393","0000-0001-7290-4867","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-10-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54de61a1-8749-4851-a1c0-c71f9d483c7d","10.5285/54de61a1-8749-4851-a1c0-c71f9d483c7d","doi:10.5285/54de61a1-8749-4851-a1c0-c71f9d483c7d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres)…","state":"published","temporalExtentText":"Data collected from 2015 to 2016","title":"Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2015-2016","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"altTitle":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"availability":"Unknown","catalogue":"eidc","description":"This project investigates the impact of the current El Niño event on biodiversity, ecosystem processes and yield within oil palm plantations in Riau Province, Sumatra, Indonesia, and the potential role of different understory management and replanting strategies in reducing the severity of changes in biodiversity and ecosystem processes, and speeding recovery times following the El Niño event.\n\nData may be useful to agricultural practitioners and to the conservation community and may lead to specific management recommendations for improving the sustainable production of this globally-important crop.\nData include oil palm frond litter decomposition rates, mealworm predation rates and sunflower seed predation rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P00458X/1"],"identifier":"a8b48a48-d7f2-479d-b877-f1a5097ced19","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"metadataDate":"2023-03-14T08:09:43.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a8b48a48-d7f2-479d-b877-f1a5097ced19"],"resourceType":"Aggregation","shortenedDescription":"This project investigates the impact of the current El Niño event on biodiversity, ecosystem processes and yield within oil palm plantations in Riau Province, Sumatra, Indonesia, and the potential role of different understory management and replanting strategies in…","state":"published","supplementalDescription":["Biodiversity and Ecosystem Function in Tropical Agriculture"],"supplementalName":["BEFTA Programme"],"temporalExtentText":"Data collected from 2016 to 2019","title":"Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Durham University"],"authorFamilyName":["Johnson"],"authorFullName":["Johnson, G.A.L."],"authorGivenName":["G.A.L."],"authorRor":["https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"This is a digital soil map of the Moor House - Upper Teesdale National Nature Reserve. Mapped polygons represent a range of soil types. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National Nature Reserve (NNR), a UNESCO Biosphere Reserve and a European Special Protection Area. Habitats include exposed summits, extensive blanket peatlands, upland grasslands, pastures, hay meadows and deciduous woodland. Altitude ranges from 290 to 850 m. Moor House - Upper Teesdale is part of the Environmental Change Network (ECN) whcih is the UK's long-term environmental monitoring programme. ","documentType":"GEMINI_DOCUMENT","familyName":["Johnson","Wood"],"fullName":["Johnson, G.A.L.","Wood, C."],"givenName":["G.A.L.","Claire"],"identifier":"b36357bd-988c-41fa-a3a8-3b21cef5f0b6","incomingCitationCount":0,"keyword":["North Pennines","England","Upper Teesdale","Moor House","Soil","Environmental Change Network","ECN","National Nature Reserve","UNESCO Biosphere Reserve","Special Protection Area","SPA"],"keywordsOther":["Environmental Change Network","ECN","National Nature Reserve","UNESCO Biosphere Reserve","Special Protection Area","SPA"],"keywordsPlace":["North Pennines","England","Upper Teesdale","Moor House"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"This map was originally created in 1963 by G.A.L Johnson from methods outlined in Soil Map Of the Moor House National Nature Reserve (1963), Westmorland. Soil Survey for the Nature Conservancy by GAL Johnson in The Geology of Moor House, a National Nature Reserve in north-east Westmorland / Johnson G.A.L., Dunham K.C., Monographs of the Nature Conservancy (No.2) 1963, HMSO. It was digitized at the Institute of Terrestrial Ecology, Monks Wood in the late 1990s.","locations":["POLYGON((-2.51 54.64, -2.51 54.71, -2.32 54.71, -2.32 54.64, -2.51 54.64))"],"metadataDate":"2026-07-25T12:54:36.000Z","organisation":["Natural Environment Research Council","Durham University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"1963-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1300970112046","CEH:EIDC::1300970112046","https://catalogue.ceh.ac.uk/id/b36357bd-988c-41fa-a3a8-3b21cef5f0b6","10.5285/b36357bd-988c-41fa-a3a8-3b21cef5f0b6","doi:10.5285/b36357bd-988c-41fa-a3a8-3b21cef5f0b6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/02b5d8509","https://ror.org/01v29qb04","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a digital soil map of the Moor House - Upper Teesdale National Nature Reserve. Mapped polygons represent a range of soil types. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National…","state":"published","temporalExtentText":"Data available up to 1963","title":"Soil map of the Moor House National Nature Reserve","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Incheon National University","University of Cambridge"],"authorFamilyName":["Han","Malliaras"],"authorFullName":["Han, S.","Malliaras, G.G."],"authorGivenName":["S.","G.G."],"authorOrcid":["0000-0001-8588-5466","0000-0002-4582-8501"],"authorRor":["https://ror.org/02xf7p935","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset is in vitro validation of a potassium sensor that will be inserted into a plant stem. The dataset shows the sensitivity and selectivity of the fabricated potassium sensor. The data was obtained by measuring changes in electrical current with an increase in concentrations of the primary ion (K+) and interfering ion (Na+) to extract the sensitivity and selectivity, respectively using a semiconductor parameter analyser. K+ ion sensing data, measured directly inside a plant stem, are absent as the in vivo experiment should be optimised further.","documentType":"GEMINI_DOCUMENT","familyName":["Han","Malliaras"],"fullName":["Han, S.","Malliaras, G.G."],"funder":["Natural Environment Research Council"],"givenName":["S.","G.G."],"grant":["NE/T012293/1"],"identifier":"89998967-a974-4136-b650-b9af9f9d6969","incomingCitationCount":0,"keyword":["Ion sensors","Implantable sensors","sensor validation","sensor"],"keywordsOther":["Ion sensors","Implantable sensors","sensor validation","sensor"],"licence":"Open government licence","lineage":"The data were generated by measuring electrical current with an increase in ion concentrations stepwise using a semiconductor parameter analyser. There are raw data without data treatment. The applied voltage was 0 V and -0.6 V at the gate and drain terminal, respectively. Recorded output signal was drain current with the unit of ampere. This dataset was recorded in real time. Additionally, for in vitro validation, an artificial sap (Na+ 15 mM, Ca2+ 10 mM, Mg2+ 15 mM) was used with varying a K+ ion concentration.","metadataDate":"2026-07-25T08:40:27.000Z","orcid":["0000-0001-8588-5466","0000-0002-4582-8501"],"organisation":["Incheon National University","University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/89998967-a974-4136-b650-b9af9f9d6969","10.5285/89998967-a974-4136-b650-b9af9f9d6969","doi:10.5285/89998967-a974-4136-b650-b9af9f9d6969"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/02xf7p935","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is in vitro validation of a potassium sensor that will be inserted into a plant stem. The dataset shows the sensitivity and selectivity of the fabricated potassium sensor. The data was obtained by measuring changes in electrical current with an increase…","state":"published","title":"Phytoelectronic potassium sensor performance data","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","BioSS"],"authorFamilyName":["Leedham","Searle","Harris","Newell","Wanless","Mobbs","Butler","Daunt"],"authorFullName":["Leedham, O.","Searle, K.R.","Harris, M.P.","Newell, M.","Wanless, S.","Mobbs, D.C.","Butler, A.","Daunt, F."],"authorGivenName":["O.","K.R.","M.P.","M.","S.","D.C.","A.","F."],"authorOrcid":["0000-0002-7177-8237","0000-0003-4624-9023","0000-0002-2788-4606","0000-0001-5842-2247","0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset reviews key behavioural and physiological traits of four species of seabirds: Common guillemot Uria aalge; Razorbill Alca torda; Atlantic puffin Fratercula arctica; and Black-legged kittiwake Rissa tridactyla. These data describe the daily time allocation to and energetic costs of core activities and other energetically important processes of seabirds during chick-rearing-an energetically demanding period with important implications for population demography. The purpose of this dataset is to collate and standardise important energetic and demographic parameters to underpin energetic, behavioural and demographic modelling analyses for key seabird species. Data primarily correspond to measurements of seabirds breeding in the UK.","documentType":"GEMINI_DOCUMENT","familyName":["Leedham","Searle","Harris","Newell","Wanless","Mobbs","Butler","Daunt"],"fullName":["Leedham, O.","Searle, K.R.","Harris, M.P.","Newell, M.","Wanless, S.","Mobbs, D.C.","Butler, A.","Daunt, F."],"funder":["Natural Environment Research Council","UKCEH"],"givenName":["O.","K.R.","M.P.","M.","S.","D.C.","A.","F."],"grant":["NE/X009068/1","NE/Y006208/1"],"identifier":"07b1105a-4a14-47e3-b491-9af59be90aff","incomingCitationCount":0,"keyword":["UK","Europe","Animal behaviour","Seabirds","energetics","biometrics","time activity budgets","energetic costs","foraging","flying","resting","chick provisioning","body mass","BMR","metabolism","tissue energy density","prey energy density","chick rearing","warming food","digestive assimilation efficiency","Common guillemot","Uria aalge","Black-legged kittiwake","Rissa tridactyla","Atlantic puffin","Fratercula arctica","razorbill","Alca torda","animal behaviour"],"keywordsOther":["Seabirds","energetics","biometrics","time activity budgets","energetic costs","foraging","flying","resting","chick provisioning","body mass","BMR","metabolism","tissue energy density","prey energy density","chick rearing","warming food","digestive assimilation efficiency","Common guillemot","Uria aalge","Black-legged kittiwake","Rissa tridactyla","Atlantic puffin","Fratercula arctica","razorbill","Alca torda","animal behaviour"],"keywordsPlace":["UK","Europe"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"A combination of data sourced directly, converted, or derived from existing primary literature, and long-term study data. The provenance of the data for each parameter per species is described in full in the supporting documentation, section Parameter calculations and sources.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:56:45.000Z","orcid":["0000-0002-7177-8237","0000-0003-4624-9023","0000-0002-2788-4606","0000-0001-5842-2247","0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","BioSS","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07b1105a-4a14-47e3-b491-9af59be90aff","10.5285/07b1105a-4a14-47e3-b491-9af59be90aff","doi:10.5285/07b1105a-4a14-47e3-b491-9af59be90aff"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset reviews key behavioural and physiological traits of four species of seabirds: Common guillemot Uria aalge; Razorbill Alca torda; Atlantic puffin Fratercula arctica; and Black-legged kittiwake Rissa tridactyla. These data describe the daily time allocation…","state":"published","title":"Time-activity budgets and energetics of common guillemot, razorbill, Atlantic puffin, and black-legged kittiwake","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Parsons"],"authorFullName":["Parsons, K."],"authorGivenName":["K."],"authorOrcid":["0000-0003-3355-3587"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data contain measurements of physiological variation in threespine stickleback from Icelandic populations.\nThe data includes metabolic rates measured on individual stickleback fish across three temperatures (Metabolism.csv), inter-individual variation in distances between individuals under different temperature treatments using fish from a geothermal and ambient population (Sociability.csv), and the time individuals spent under different temperatures on their own (TemperaturePreference.csv).","documentType":"GEMINI_DOCUMENT","familyName":["Parsons"],"fullName":["Parsons, K."],"funder":["Natural Environment Research Council"],"givenName":["K."],"grant":["NE/N016734/1"],"identifier":"1c9cd70f-d0b8-49a7-a5d2-ba473a220e3e","incomingCitationCount":0,"keyword":["Animal behaviour","Sociability","Thermal preference","Phenotypic plasticity","fish","Metabolic rate"],"keywordsOther":["Sociability","Thermal preference","Phenotypic plasticity","fish","Metabolic rate"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The data for metabolism came through assays of oxygen consumption within an enclosed chamber (Metabolism.csv). The data for sociability came from software used to obtain measures of distance of individuals (Sociability.csv). The temperature preference data came from an experimental set up which tracked movements of individuals automatically in temperature-controlled tanks (TemperaturePreference.csv).","locations":["POLYGON((-25 63, -25 67.509, -12.964 67.509, -12.964 63, -25 63))"],"metadataDate":"2026-07-24T19:17:09.000Z","orcid":["0000-0003-3355-3587"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c9cd70f-d0b8-49a7-a5d2-ba473a220e3e","10.5285/1c9cd70f-d0b8-49a7-a5d2-ba473a220e3e","doi:10.5285/1c9cd70f-d0b8-49a7-a5d2-ba473a220e3e"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Data contain measurements of physiological variation in threespine stickleback from Icelandic populations.\nThe data includes metabolic rates measured on individual stickleback fish across three temperatures (Metabolism.csv), inter-individual variation in distances between…","state":"published","title":"Physiological variation in wild and lab-reared threespine sticklebacks from Icelandic geothermal and ambient sites","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G","R.","N.J.","R.T","P.","F.F."],"authorOrcid":["0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Great Britain. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 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. Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a 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. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard","Morton"],"fullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F.","Morton, D."],"givenName":["R.M.","G.M.","J.M.","R.A.","A.G","R.","N.J.","R.T","P.","F.F.","Daniel"],"identifier":"f802edfc-86b7-4ab9-b8fa-87e9135237c9","incomingCitationCount":2,"keyword":["Great Britain","Land cover","Habitats"],"keywordsOther":["Habitats"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"In a major development of earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see the on-line supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:07:26.000Z","orcid":["0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287415172209","CEH:EIDC::1287415172209","https://catalogue.ceh.ac.uk/id/f802edfc-86b7-4ab9-b8fa-87e9135237c9","10.5285/f802edfc-86b7-4ab9-b8fa-87e9135237c9","doi:10.5285/f802edfc-86b7-4ab9-b8fa-87e9135237c9"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Great Britain. 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Cartographic Journal, 39. 15-25."],"supplementalName":["Project website"],"temporalExtentText":"Data collected from 2000 to 2000","title":"Land Cover Map 2000 (25m raster, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Plymouth","University of Birmingham","University of Leeds"],"authorFamilyName":["Fauset","Hagan Brown","MacKenzie","Gloor","Fyfe","Ganderton"],"authorFullName":["Fauset, S.","Hagan Brown, W.","MacKenzie, A.R.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"authorGivenName":["S.","W.","A.R.","E.U.","R.","P."],"authorOrcid":["0000-0003-4246-1828","0000-0003-4399-0182","0000-0002-8227-742X"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/03angcq70","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":[".jpeg"],"description":"The dataset provides visible light images from a camera at the Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) experimental site from July 2021 to September 2023. The data are visible light images, predominately of tree canopies (leaves, branches, stems). \n\nThis site is a mature oak woodland, and the field of view of the camera includes one of the experimental CO2 enrichment plots, and numerous trees in the ambient un-enriched air. The trees included in the field of view are predominantly Quercus robur, with some individuals of Acer pseudoplatanus and Pinus sylvestris. \n\nData were collected to complement additional data on canopy temperature at the same site but can also be used to look at vegetation phenology. ","documentType":"GEMINI_DOCUMENT","familyName":["Fauset","Hagan Brown","MacKenzie","Gloor","Fyfe","Ganderton"],"fullName":["Fauset, S.","Hagan Brown, W.","MacKenzie, A.R.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"funder":["Natural Environment Research Council"],"givenName":["S.","W.","A.R.","E.U.","R.","P."],"grant":["NE/V008366/1"],"identifier":"4b251915-10af-4bf1-8ad6-be1c65542247","incomingCitationCount":0,"keyword":["West Africa","Ghana","Phenology","Environmental survey","canopy","FACE","CO2","Quercus robur","ecophysiology","oak","carbon dioxide","forest","woodland ecosystem"],"keywordsOther":["Phenology","canopy","FACE","CO2","Quercus robur","ecophysiology","oak","carbon dioxide","forest","woodland ecosystem"],"keywordsPlace":["West Africa","Ghana"],"keywordsTheme":["Phenology","Environmental survey"],"licence":"Open government licence","lineage":"Data were collected using a LabView program to control the camera. Data were initially stored on a local PC, and then transferred to a University of Plymouth network server. Data provided are the raw output from the camera.","locations":["POLYGON((-2.307 52.789, -2.307 52.804, -2.286 52.804, -2.286 52.789, -2.307 52.789))"],"metadataDate":"2026-09-02T13:47:46.000Z","orcid":["0000-0003-4246-1828","0000-0003-4399-0182","0000-0002-8227-742X"],"organisation":["University of Plymouth","University of Birmingham","University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b251915-10af-4bf1-8ad6-be1c65542247","10.5285/4b251915-10af-4bf1-8ad6-be1c65542247","doi:10.5285/4b251915-10af-4bf1-8ad6-be1c65542247"],"resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/008n7pv89","https://ror.org/03angcq70","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides visible light images from a camera at the Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) experimental site from July 2021 to September 2023. The data are visible light images, predominately of tree canopies (leaves,…","state":"published","supplementalName":["Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) website"],"temporalExtentText":"Data collected from 2021 to 2023","title":"Visible light images of a mature oak woodland canopy under Free-Air CO2 Enrichment at the BIFoR-FACE experimental site, Staffordshire, UK, 2021-2023","topic":["0/Phenology/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"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. 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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":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["M.","C.","J."],"authorOrcid":["0000-0002-1516-6834","0000-0003-1142-4039","0000-0001-9294-5826","0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al [1].  There are seven accumulation periods: 1, 3, 6, 9, 12, 18, 24 months and for each period SPI is calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1862 to 2015. \n\nThis version supersedes previous versions (version 2 and 3) of the same dataset due to minor errors in the data files.\n\nNOTE: the difference between this dataset with the previously published dataset \"Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]\" (Tanguy et al., 2015; https://doi.org/10.5285/94c9eaa3-a178-4de4-8905-dbfab03b69a0) , apart from the temporal and spatial extent, is the underlying rainfall data from which SPI was calculated. In the previously published dataset, CEH-GEAR (Tanguy et al., 2014; https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e) was used, whereas in this new version, Met Office 5km rainfall grids were used (see supporting information for more details). The methodology to calculate SPI is the same in the two datasets.\n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. \n","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["M.","C.","J.","Maliko"],"identifier":"233090b2-1d14-4eb9-9f9c-3923ea2350ff","incomingCitationCount":3,"keyword":["United Kingdom","Drought Inventory ","Drought Catalogue ","Drought Indicator ","SPI","Standardised Precipitation Index","Rainfall extremes","drought","water scarcity","atmospheric precipitation"],"keywordsOther":["Drought Inventory ","Drought Catalogue ","Drought Indicator ","SPI","Standardised Precipitation Index","Rainfall extremes","drought","water scarcity","atmospheric precipitation"],"keywordsPlace":["United Kingdom"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases. To calculate SPI, the R package SCI was used, but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from the Met Office 5km gridded rainfall product. In this version of the dataset (version 4), the monthly rainfall grids from 1960 to 2000 was derived from the Met Office 5-km daily rainfall grids, to address some localised issues that were found in the Met Office monthly rainfall grids.\n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. \n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. doi: 10.1002/joc.4267","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T13:40:43.000Z","orcid":["0000-0002-1516-6834","0000-0003-1142-4039","0000-0001-9294-5826","0000-0002-5256-3310"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/233090b2-1d14-4eb9-9f9c-3923ea2350ff","10.5285/233090b2-1d14-4eb9-9f9c-3923ea2350ff","doi:10.5285/233090b2-1d14-4eb9-9f9c-3923ea2350ff"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al [1].  There are seven accumulation periods: 1, 3, 6, 9, 12, 18, 24…","state":"published","temporalExtentText":"Data collected from 1862 to 2015","title":"Historic Gridded Standardised Precipitation Index for the United Kingdom 1862-2015 (generated using gamma distribution with standard period 1961-2010) v4","version":4.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Tregenza","Rodríguez-Muñoz"],"authorFullName":["Tregenza, T.","Rodríguez-Muñoz, R."],"authorGivenName":["T.","R"],"authorOrcid":["0000-0003-4182-2222","0000-0002-6067-845X"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"We provide data on how the body temperature of field crickets Gryllus campestris rises and falls in relation to exposure to the sun and environmental factors include ground and air temperature, diffuse and shortwave radiation, and wind speed. Crickets were in a meadow in N. Spain from May to June 2017.\nIndividual crickets were retained in a controlled area using a line attached to a copper ring glued to their thorax. Crickets were maintained in captivity and randomly selected every day to run the temperature increase trials. Trials were carried out in an area with mown grass. Before entering the trial, each individual was cooled to a temperature of 13ºC. During the cooling process, ambient temperature, humidity and reflected apparent temperature were measured using a thermal imagining camera (FLIR T4). Once the cricket reached the base temperature, it was released in the arena and its temperature measured at 1 minute intervals with the same camera, for a minimum of 20 minutes.\nThese data were acquired to assess behavioural thermoregulation in crickets in the wild and were collected by researchers at the University of Exeter.","documentType":"GEMINI_DOCUMENT","familyName":["Tregenza","Rodríguez-Muñoz"],"fullName":["Tregenza, T.","Rodríguez-Muñoz, R.","Tom Tregenza"],"funder":["Natural Environment Research Council"],"givenName":["T.","R"],"grant":["NE/V000772/1"],"identifier":"a65dbd74-c5b4-4c33-a658-9941cac0a049","incomingCitationCount":0,"keyword":["Animal behaviour","Phenology","Climate and climate change","Thermoregulation","Body temperature","Body mass","solar radiation"],"keywordsOther":["Thermoregulation","Body temperature","Body mass","solar radiation"],"keywordsTheme":["Animal behaviour","Phenology","Climate and climate change"],"licence":"Open government licence","lineage":"Crickets in the body temperature dataset were collected in the wild in 2017 and then used to measure their body temperature changes with time under sun exposure. Crickets in the basic and behavioural traits datasets, were reared in captivity from parents collected at ten different populations, and then released in the study meadow after adult emergence. Data on body temperature increase were obtained from a sample of crickets collected in the wild and retained in a controlled area outside using a line attached to a copper ring glued to their thorax. Crickets were maintained in captivity and randomly selected every day to run the temperature increase trials. Trials were carried out in an area with mown grass. Before entering the trial, each individual was cooled to a temperature of 13ºC. During the cooling process, ambient temperature, humidity and reflected apparent temperature were measured using a thermal imagining camera (FLIR T4). Once the cricket reached the base temperature, it was released in the arena and its temperature measured at 1 minute intervals with the same camera, for a minimum of 20 minutes. Trial ended when the temperature plateaued and remained stable for approximately 2 minutes.\n","locations":["POLYGON((-5.803 43.417, -5.803 43.519, -5.603 43.519, -5.603 43.417, -5.803 43.417))"],"metadataDate":"2026-07-25T13:18:56.000Z","orcid":["0000-0003-4182-2222","0000-0002-6067-845X"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a65dbd74-c5b4-4c33-a658-9941cac0a049","10.5285/a65dbd74-c5b4-4c33-a658-9941cac0a049","doi:10.5285/a65dbd74-c5b4-4c33-a658-9941cac0a049"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"We provide data on how the body temperature of field crickets Gryllus campestris rises and falls in relation to exposure to the sun and environmental factors include ground and air temperature, diffuse and shortwave radiation, and wind speed. Crickets were in a meadow…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Body size, lifespan, behaviour and body temperature in relation to environmental variables in wild field crickets (Gryllus campestris) in a meadow in Northern Spain, May and June, 2017","topic":["0/Animal behaviour/","0/Phenology/","0/Climate and climate change/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Maskell","Henrys","Norton","Smart","Wood"],"authorFullName":["Maskell, L.C.","Henrys, P.A.","Norton, L.R.","Smart, S.M.","Wood, C.M."],"authorGivenName":["L.C.","P.A.","L.R.","S.M.","C.M."],"authorOrcid":["0000-0003-4006-7755","0000-0003-4758-1482"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"The dataset consists of a map of individual ash trees (Fraxinus excelsior) across Great Britain. The data is derived from Countryside Survey 2007 and includes individual trees in the landscape, clumps of trees and veteran trees. Trees were mapped in 569 1km sample squares across Britain, and this national estimate dataset was derived from the sample data using ITE Land Classes.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Henrys","Norton","Smart","Wood"],"fullName":["Maskell, L.C.","Henrys, P.A.","Norton, L.R.","Smart, S.M.","Wood, C.M.","Maskell, L."],"givenName":["L.C.","P.A.","L.R.","S.M.","C.M.","Lindsay"],"identifier":"0c3567a8-3700-4d52-a21f-de1bd709141a","incomingCitationCount":0,"keyword":["Great Britain","Biodiversity","Fraxinus excelsior"],"keywordsOther":["Fraxinus excelsior"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Data were collected as part of the Countryside Survey monitoring project in 2007. Data were collected from 591 1km sample squares and scaled up to national estimates using the ITE Land Classification. See supporting documentation for further information.","locations":["POLYGON((-7.84 49.8, -7.84 60.83, 1.97 60.83, 1.97 49.8, -7.84 49.8))"],"metadataDate":"2026-07-24T19:00:16.000Z","orcid":["0000-0003-4006-7755","0000-0003-4758-1482"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-08-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1374151103419","CEH:EIDC::1374151103419","https://catalogue.ceh.ac.uk/id/0c3567a8-3700-4d52-a21f-de1bd709141a","10.5285/0c3567a8-3700-4d52-a21f-de1bd709141a","doi:10.5285/0c3567a8-3700-4d52-a21f-de1bd709141a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset consists of a map of individual ash trees (Fraxinus excelsior) across Great Britain. The data is derived from Countryside Survey 2007 and includes individual trees in the landscape, clumps of trees and veteran trees. Trees were mapped in 569 1km sample squares…","state":"published","supplementalDescription":["Distribution of Ash trees (Fraxinus excelsior) in Countryside Survey data (2013). Maskell, L.C., Henrys, P.A., Norton, L.R., Smart, S.M. and Wood, C.M. January 2013, NERC/Centre for Ecology & Hydrology, Lancaster. "],"supplementalName":["Countryside survey website"],"temporalExtentText":"Data collected from 2007 to 2007","title":"Distribution of individual ash trees in Great Britain","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"ab10ea4a-1788-4d25-a6df-f1aff829dfff","incomingCitationCount":1,"keyword":["Great Britain","Land cover","Biodiversity Action Plan","habitat","map","land cover"],"keywordsOther":["Biodiversity Action Plan","habitat","map","land cover"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:06:49.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ab10ea4a-1788-4d25-a6df-f1aff829dfff","10.5285/ab10ea4a-1788-4d25-a6df-f1aff829dfff","doi:10.5285/ab10ea4a-1788-4d25-a6df-f1aff829dfff"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Land Cover Map 2023 (25m rasterised land parcels, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","rafbar"]},{"authorAffiliation":["Durham University"],"authorFamilyName":["Warburton"],"authorFullName":["Warburton, J."],"authorGivenName":["J."],"authorOrcid":["0000-0003-3589-9039"],"authorRor":["https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for terrestrial sediment samples collected across the stream network of Harehill and Swineshaw Moors, Stalybridge, Tameside, Manchester. Samples were collected on three occasions in 2018 following a severe moorland wildfire (July 2018). Sediment samples were collected using stream sediment traps which accumulated sediments between the dates of sampling. Sediment traps were emptied in the field and samples were returned to the laboratory for analysis. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/S011560/1).","documentType":"GEMINI_DOCUMENT","familyName":["Warburton"],"fullName":["Warburton, J."],"funder":["Natural Environment Research Council"],"givenName":["J.","Jeff"],"grant":["NE/S011560/1"],"identifier":"ad1bb542-e75c-423f-8421-b247b2f72ce6","incomingCitationCount":0,"keyword":["wildfire","erosion","fire","sedimentation (geology)","runoff"],"keywordsOther":["wildfire","erosion","fire","sedimentation (geology)","runoff"],"licence":"Open government licence","lineage":"Samples were collected from seven sites in the stream network on three occasions (04/10/2018, 13/11/2018 and 13/12/2018). Bulk samples were subsampled for geochemistry (elemental analysis mg/g), loss on ignition (%) and median particle size (mm) which was determined in the laboratory.","locations":["POLYGON((-2.711 53.181, -2.711 53.728, -1.733 53.728, -1.733 53.181, -2.711 53.181))"],"metadataDate":"2026-07-25T13:22:50.000Z","orcid":["0000-0003-3589-9039"],"organisation":["Durham University","NERC EDS Environmental Information Data Centre","University of Liverpool","University of Leeds"],"publicationDate":"2023-01-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ad1bb542-e75c-423f-8421-b247b2f72ce6","10.5285/ad1bb542-e75c-423f-8421-b247b2f72ce6","doi:10.5285/ad1bb542-e75c-423f-8421-b247b2f72ce6"],"resourceType":"Dataset","rightsHolder":["Durham University","University of Liverpool","University of Leeds"],"ror":["https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for terrestrial sediment samples collected across the stream network of Harehill and Swineshaw Moors, Stalybridge, Tameside, Manchester. Samples were collected…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Geochemistry and grain size of terrestrial sediments collected across a stream network, Swineshaw Moor, UK, 2018","version":1.0,"view":["public","jgar"]},{"availability":"Unknown","catalogue":"eidc","description":"This dataset collection includes data outputs from the research programme GALLANT - Glasgow as a Living Lab Accelerating Novel Transformation, developed by The University of Glasgow, in partnership with Glasgow City Council. GALLANT collates and produces data on environment, ecology, place, people and communities to learn about Glasgow's 'living space', how it is changing, and what effect interventions may have on the future environment, economy, health and wellbeing for the city. The nature and volume of such data will change throughout this dynamic strategic programme as the systems wide approach evolves and partnerships increase.\n\nData generated specifically within GALLANT will include:\nA) Quantitative geospatial/temporal data - environmental experiments running throughout the programme, including biodiversity records, evaluation of carbonation and pollutant data from contaminated sites, data from a randomised controlled trial supporting active travel, and energy demand (including both heat and electricity). \nB) Qualitative/narrative data - social data, including narratives, interviews and surveys from citizen engagements which will be in different formats, including text, image, audio and video, and geotagging. \nC) Indicators/model outputs/simulated data - environmental, health and wellbeing, and social cohesion indicators developed and evaluated across the programme at local and city scales.\n D) Model outputs from: flood risk and energy opportunities mapping, modelling and LCA, statistical and agent based models.\n\nThe GALLANT program was funded by UKRI NERC as part of their Changing the Environment investment, and through this project University researchers are helping the city move towards climate resilience whilst tackling health, social and economic inequalities. For more information, please contact gallant-info@glasgow.ac.uk.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/W005042/1"],"identifier":"db683642-7135-44f8-b37f-127ec578aa06","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-08-19T09:27:52.000Z","organisation":["University of Glasgow"],"publicationDate":"2026-04-08T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/db683642-7135-44f8-b37f-127ec578aa06"],"resourceType":"Aggregation","ror":["https://ror.org/00vtgdb53"],"shortenedDescription":"This dataset collection includes data outputs from the research programme GALLANT - Glasgow as a Living Lab Accelerating Novel Transformation, developed by The University of Glasgow, in partnership with Glasgow City Council. GALLANT collates and produces data on environment,…","state":"published","supplementalName":["GALLANT Project Website","Additional data - Managing gardens for pollinators","Additional data - Floral richness in urban garden and allotments","Additional data - Camera recordings of insect visitors"],"title":"Glasgow as a Living Lab Accelerating Novel Transformation (GALLANT) Data Outputs, 2022-2028","version":1.0,"view":["public","jashun"]}],"rows":20,"semanticEnabled":false,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}