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B.C."],"authorGivenName":["David","Ben C"],"authorOrcid":["0000-0001-9568-4852","0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains air temperature information from 786 points in Wytham Woods (Oxfordshire; Latitude: 51.7773, Longitude: -1.3385) between April 2023 and June 2025, collected every 15 minutes (~60 million temperature reads). Data were collected using TOMST thermologgers placed in trees with nest-boxes managed by the Edward Grey Institute of Field Ornithology (University of Oxford). In addition to the temperature values, the dataset contains information about the location of the thermologgers, the timestamps, and a value per logger to correct for the consistent deviations of each logger.\n\nThis data was collected under the project Understanding Within- and Between-Population Variation in Responses to Climate Variability and Extreme Climatic Events, supported by the Natural Environment Research Council (Grant NE/X000184/1). The overarching aim of the project was to study the effects of intra- and inter-annual temperature variability on great tit Parus major fitness. To do this, the project aims to combine the data obtained from the thermologgers at a fine temporal and spatial resolution with long-term life-history data of the great tit population of Wytham Woods.","documentType":"GEMINI_DOCUMENT","familyName":["López-Idiáquez","Sheldon"],"fullName":["López-Idiáquez, D.","Sheldon, B.C.","David López-Idiáquez"],"funder":["Natural Environment Research Council"],"givenName":["David","Ben C"],"grant":["NE/X000184/1"],"identifier":"d5be8de8-66e3-4e35-af79-7bb3789849ba","incomingCitationCount":0,"keyword":["Climate and climate change","air temperature","microclimate","mixed woodland","thermologger"],"keywordsOther":["air temperature","microclimate","mixed woodland","thermologger"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"This dataset contains information of 786 thermologgers (TOMST) placed across Wytham Woods between April 2023 and June 2025. Data was collected every 15 minutes.\n\nData was extracted from the loggers on a yearly basis using the software provided by the logger manufacturer. Data transformation consisted of collating the datasets for each logger each year into a single dataset. Data were transformed in two ways. First, readings from broken or damaged loggers were removed and now appear as NA in the dataset. Second, in some cases (0.26% of the total observations), one temperature reading in a logger was repeated several times (e.g. two observations for logger B1 on 21/12/2023 12:15:00). In cases where these repetitions represented the same temperature value (0.16% of the total), one observation in the dataset was retained. In cases where these repetitions included different values, the modal value was retained. This is described by true_value in the dataset.","locations":["POLYGON((-1.352 51.751, -1.352 51.784, -1.292 51.784, -1.292 51.751, -1.352 51.751))"],"metadataDate":"2026-07-25T14:20:09.000Z","orcid":["0000-0001-9568-4852","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d5be8de8-66e3-4e35-af79-7bb3789849ba","10.5285/d5be8de8-66e3-4e35-af79-7bb3789849ba","doi:10.5285/d5be8de8-66e3-4e35-af79-7bb3789849ba"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains air temperature information from 786 points in Wytham Woods (Oxfordshire; Latitude: 51.7773, Longitude: -1.3385) between April 2023 and June 2025, collected every 15 minutes (~60 million temperature reads). Data were collected using TOMST thermologgers…","state":"published","temporalExtentText":"Data collected from 2023 to 2025","title":"Fine temporal and spatial scale air temperature dataset of Wytham Woods, UK, 2023-2025","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["0000-0001-7994-0529"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset entails two components: 1) an agricultural soil survey on fields covered with plastic mulch film to determine drivers of microplastic enrichment and identify microplastic types in China, Egypt, India, Sri Lanka, and Vietnam; 2) an inter-laboratory comparison of microplastic quantification and identification across Australia, China, Egypt, India, Sri Lanka, UK, and Vietnam. The data was generated from 2022 to 2025. We recorded the following data:\nPart 1 - Soil Survey\n-\tSite specific metadata on plastic use and farm practices\n-\tEnvironmental data (precipitation, temperature)\n-\tSoil data (pH, EC, nutrients, classification, texture)\n-\tMicroplastic quantification\n-\tMicroplastic identification\n-\tMetadata for each participating laboratory\nPart 2 - Inter-laboratory standard comparison\n-\tMetadata for each participating laboratory\n-\tPolymer identification of known polymer standards\n-\tMicroplastic recovery rates of known reference standard mediums","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["Martine","David R","Davey L","M."],"grant":["NE/V005871/1"],"identifier":"c0407da7-acd0-4f5f-a1f3-5516206ba787","incomingCitationCount":0,"keyword":["Agriculture","Environmental survey","Soil","agricultural plastic","microplastic","mulch","plastic","polymer","survey"],"keywordsOther":["agricultural plastic","microplastic","mulch","plastic","polymer","survey"],"keywordsTheme":["Agriculture","Environmental survey","Soil"],"licence":"Open government licence","lineage":"Part 1 - Soil Survey:\n-\tpH and electrical conductivity: Soil samples (n=1) were analysed in a 1:2.5 soil:distilled water solution using standard electrodes. Data recorded in paper notebook, then transferred to Excel file. Excel file exported as csv file.\n\n-\tNutrients (ammonium, nitrate, DOC, phosphate): Soil samples (n=1) were analysed in a 1:5 soil:0.5 M K2SO4 solution (ammonium, nitrate, DOC) using colorimetric analysis for ammonium and nitrate, and a TOC analyser for DOC. Soil samples were analysed in a 1:5 soil:0.5M acetic acid or 0.5M sodium bicarbonate solution (phosphate) using colorimetric analysis. Data was exported as Excel files from respective instruments, then exported as csv file.\n-\tMicroplastic quantification: Microplastics were extracted from soil samples in each country following a standardised protocol[2]. Briefly, soil samples were dried at 40 °C for min. 24 h, larger aggregates were broken up, and plant material was removed before weighing out 5 ± 0.05 g of dry soil into a clean glass beaker. For density separation, 230 ml saturated NaCl (density 1.2 g cm-3) were added to the beaker, the solution was homogenised for 30 min using a magnetic stirring plate, and left to stand overnight. Following this, the supernatant was decanted into a new glass beaker, and 4 M NaOH was added to a fixed volume of 500 ml, after which the solution was homogenised and left to stand overnight to facilitate digestion of biologically-derived organic material. The supernatant was then decanted into a new glass beaker and 250 µl of Nile Red solution added, homogenised, and incubated in the dark at room temperature for 30 min before vacuum filtration onto a suitable membrane. Membranes were stored in glass petri dishes covered in aluminium foil and analysed within 24 h. Particle quantification on membranes was carried out using fluorescent microscopy within each country. Between 5 - 100 % of the membrane area were analysed, depending on country, and resulting images were processed using ImageJ (v. 1.54f). Briefly, a Macro was customised for each country, scaling images accordingly, applying a suitable colour threshold with the default thresholding method, adjusting the brightness level to a suitable setting (according to the average best fit of 10 randomly selected images), and exporting particles' Feret's diameter. Data was filtered to only include particles with Feret's diameter of 20 - 500 µm, and scaled to an equivalent particle number of 100% membrane area (= 5 g dry soil). Total particle number was then divided by 5 to express particles g-1 dry soil.\n\n-\tMicroplastic identification: Complimentary to the particle quantification, fluorescent particles (i.e. suspected MPs) were also analysed using IR spectroscopy within each country. Particle spectra were matched against instrument-specific or open-source libraries with an average match quality for polymers of 40.6% (China), 80.8% (Egypt), 70.6% (India), 85.7% (Vietnam), and 84.7% (Sri Lanka). China, Egypt, India, and Vietnam manually selected individual particles for analysis, resulting in an average of 10 particles analysed across these countries due to resource constraints and instrument availability. Data for China are only available for 0 - 10 cm depth. Sri Lankan samples were analysed in the UK, utilising an automated analysis of particles per subsample (analysing approx. 1% of total sample volume). A match quality threshold of ≥ 80% was applied to the Sri Lankan dataset only, according to manufacturer's guidance. Due to no clear manufacturers' instructions and the already low manual particle count per sample in the other countries, no match quality threshold was applied.\n\n-\tEnvironmental data: Precipitation and air temperature data was sourced from the nearest weather station for each location.\n\n-\tFarm metadata: Data regarding farm practices was collected directly from participating farmers, written on paper, entered into an Excel file, exported as a csv file.\nPart 2 - Inter-laboratory standard comparison\n-\tMicroplastic quantification: The standards consisted of three matrices: silicon dioxide (SD; quartz sand), bentonite clay (BT), and country-representative soil; all with and without 0.04% (w/w) polyethylene (PE; 34-50 μm particle size). SD and BT were selected to represent two commonly found soil textures (sand, clay), and soil was selected representative of each country's prevalent soil types. The soil was collected by each laboratory and spiked with PE (provided by UK) to 0.04% (w/w). The UK also determined the number of PE particles in the mass required to achieve the 0.04% (w/w) concentration in 5 g matrix to estimate the average particle number per sample and therefore estimate maximum particle number recoverable. All standards were analysed in triplicates alongside blanks (no matrix, only reagents), following a standardised extraction and analysis protocol [2]. The same methodology was applied as described above.\n-\tMicroplastic identification: The standards consisted of 9 individual polymer types (PET, PP, PTFE, PU, PC, PE, PS, PA, PVC) with different size ranges (Table 9). Each country identified 10 randomly selected particles per standard. The analysis was carried out blind, i.e. participating countries (apart from UK) were unaware of what polymer types were included in each standard vial. Sri Lanka had no capability to analyse polymer standards via IR spectroscopy and was therefore excluded from this analysis. India was unable to analyse 'standard 3' (PTFE) due to sample loss. In addition to individual standards, each laboratory received a homogenised polymer mixture containing the same nine polymers in known weight proportions (Table 10). Each laboratory analysed three replicates of the mixed polymer standard, selecting 50 random particles per replicate. India was unable to analyse Mix 1 and 2 due to sample loss, therefore only Mix 3 is included.","locations":["POLYGON((24.7 5.92, 24.7 23.39, 134.77 23.39, 134.77 5.92, 24.7 5.92))"],"metadataDate":"2026-09-02T11:43:09.000Z","orcid":["0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c0407da7-acd0-4f5f-a1f3-5516206ba787","10.5285/c0407da7-acd0-4f5f-a1f3-5516206ba787","doi:10.5285/c0407da7-acd0-4f5f-a1f3-5516206ba787"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset entails two components: 1) an agricultural soil survey on fields covered with plastic mulch film to determine drivers of microplastic enrichment and identify microplastic types in China, Egypt, India, Sri Lanka, and Vietnam; 2) an inter-laboratory comparison…","state":"published","temporalExtentText":"Data collected from 2022 to 2025","title":"Agricultural soil survey and inter-laboratory comparison of microplastics across China, Egypt, India, Sri Lanka, and Vietnam, 2022-2025","topic":["0/Agriculture/","0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Exeter","University of Sunshine Coast","Nanyang Technological University","Biomathematics and Statistics Scotland","Permian Global Research Limited","Swedish University of Agricultural Sciences","National Agency for Research and Innovation (BRIN)","National University of Singapore","University of Dundee","Chiang Mai University","PT Restorasi Ekosistem Indonesia","Universiti Malaysia Sabah","Borneo Orangutan Survival Foundation","University of Stirling","University of Oxford","Nature Conservation Foundation","Bioversity International","Forever Sabah","Universidad Rey Juan Carlos","South East Asia Rainforest Research Partnership","Yayasan Sabah Group","University of Göttingen","University of Cambridge","University of Sheffield","University of Aberdeen"],"authorFamilyName":["Banin","Raine","Rowland","Chazdon","Smith","Rahman","Butler","Philipson","Applegate","Axelsson","Budiharta","Chua","Cutler","Elliott","Gemita","Godoong","Graham","Hayward","Hector","Ilstedt","Jensen","Kasinathan","Kettle","Lussetti","Manohan","Maycock","Ngo","O'Brien","Osuri","Reynolds","Sauwai","Scheu","Silalahi","Slade","Swinfield","Wardle","Wheeler","Yeong","Burslem"],"authorFullName":["Banin, L.F.","Raine, E.H.","Rowland, L.M.","Chazdon, R.L.","Smith, S.W.","Rahman, N.E.B.","Butler, A.","Philipson, C.","Applegate, G.G.","Axelsson, E.P.","Budiharta, S.","Chua, S.C.","Cutler, M.E.J.","Elliott, S.","Gemita, E.","Godoong, E.","Graham, L.L.B.","Hayward, R.M.","Hector, A.","Ilstedt, U.","Jensen, J.","Kasinathan, S.","Kettle, C.J.","Lussetti, D.","Manohan, B.","Maycock, C.","Ngo, K.M.","O'Brien, M.J.","Osuri, A.M.","Reynolds, G.","Sauwai, Y.","Scheu, S.","Silalahi, M.","Slade, E.M.","Swinfield, T.","Wardle, D.A.","Wheeler, C.","Yeong, K.L.","Burslem, D.F.R.P."],"authorGivenName":["L.F.","E.H.","L.M.","R.L.","S.W.","N.E.B.","A.","C.","G.G.","E.P.","S.","S.C.","M.E.J.","E.","L.L.B.","R.M.","U.","J.","C.J.","D.","B.","K.M.","M.J.","A.M.","G.","Y.","M.","E.M.","T.","D.A.","K.L.","D.F.R.P."],"authorOrcid":["0000-0002-1168-3914","0000-0002-0811-6118","0000-0002-0774-3216","0000-0002-7349-5687","0000-0001-9396-6610","0000-0002-6274-1205","0000-0001-8987-7260","0000-0002-0906-8365","0000-0002-5350-2966","0000-0002-3893-1068","0000-0002-5846-3353","0000-0003-0141-2480","0000-0002-2446-8199","0000-0002-9807-4360","0000-0002-9653-225X","0000-0002-1309-7716","0000-0002-5005-2568","0000-0002-9476-0136","0000-0002-4368-2545","0000-0001-8273-6158","0000-0003-0943-8423","0000-0001-9909-5633","0000-0003-4350-9520","0000-0002-6108-1196","0000-0001-9354-5090","0000-0003-4149-5997","0000-0001-8193-2130","0000-0001-6033-0990"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/016gb9e15","https://ror.org/02e7b5302","https://ror.org/03jwrz939","https://ror.org/005mzjw74","https://ror.org/02yy8x990","https://ror.org/02hmjzt55","https://ror.org/01tgyzw49","https://ror.org/03h2bxq36","https://ror.org/05m2fqn25","https://ror.org/040v70252","https://ror.org/050351d24","https://ror.org/045wgfr59","https://ror.org/052gg0110","https://ror.org/00ytjke60","https://ror.org/01y9bpm73","https://ror.org/013meh722","https://ror.org/05krs5044","https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)",".R"],"description":"This dataset consists of survival and heights of trees planted for forest restoration in South and Southeast Asia and the associated analytical code. The data consists of tree censuses collated from published studies, grey literature and data provided by co-authors, up to/including May 2021. Data are collated from 176 sites in areas where disturbance or clearance of the natural forest had occurred and where trees were then planted and monitored over time. The analyses included here model height growth, extract annual size-standardised growth rates and test the effects of biophysical and climatic conditions and planting regimes on survival and growth. This dataset was created to represent the current state of knowledge on forest restoration outcomes in South and Southeast Asia. This is the full dataset for the survival and height analysis.","documentType":"GEMINI_DOCUMENT","familyName":["Banin","Raine","Rowland","Chazdon","Smith","Rahman","Butler","Philipson","Applegate","Axelsson","Budiharta","Chua","Cutler","Elliott","Gemita","Godoong","Graham","Hayward","Hector","Ilstedt","Jensen","Kasinathan","Kettle","Lussetti","Manohan","Maycock","Ngo","O'Brien","Osuri","Reynolds","Sauwai","Scheu","Silalahi","Slade","Swinfield","Wardle","Wheeler","Yeong","Burslem"],"fullName":["Banin, L.F.","Raine, E.H.","Rowland, L.M.","Chazdon, R.L.","Smith, S.W.","Rahman, N.E.B.","Butler, A.","Philipson, C.","Applegate, G.G.","Axelsson, E.P.","Budiharta, S.","Chua, S.C.","Cutler, M.E.J.","Elliott, S.","Gemita, E.","Godoong, E.","Graham, L.L.B.","Hayward, R.M.","Hector, A.","Ilstedt, U.","Jensen, J.","Kasinathan, S.","Kettle, C.J.","Lussetti, D.","Manohan, B.","Maycock, C.","Ngo, K.M.","O'Brien, M.J.","Osuri, A.M.","Reynolds, G.","Sauwai, Y.","Scheu, S.","Silalahi, M.","Slade, E.M.","Swinfield, T.","Wardle, D.A.","Wheeler, C.","Yeong, K.L.","Burslem, D.F.R.P."],"funder":["Natural Environment Research Council"],"givenName":["L.F.","E.H.","L.M.","R.L.","S.W.","N.E.B.","A.","C.","G.G.","E.P.","S.","S.C.","M.E.J.","E.","L.L.B.","R.M.","U.","J.","C.J.","D.","B.","K.M.","M.J.","A.M.","G.","Y.","M.","E.M.","T.","D.A.","K.L.","D.F.R.P."],"grant":["NE/T005092/1"],"identifier":"935781e1-9119-4673-bd09-3fc76ae627d5","incomingCitationCount":0,"keyword":["Southeast Asia","South Asia","sub-tropical","planted trees","seedlings","survival","mortality","height","growth","size","tree species","disturbance","tropical ecosystem","restoration","tropical forest","tree","forest ecology"],"keywordsOther":["sub-tropical","planted trees","seedlings","survival","mortality","height","growth","size","tree species","disturbance","tropical ecosystem","restoration","tropical forest","tree","forest ecology"],"keywordsPlace":["Southeast Asia","South Asia"],"licence":"Open government licence","lineage":"Data were compiled from i) publications which contained the necessary information or ii) primary data supplied by dataset and paper co-authors. The search and screening process is described in full in the documentation. The data have been standardised so they could be presented in common units across the dataset and in some cases, categorised based either on numbers or on text descriptions within the publications. The species lists have been checked against online databases to correct errors and unify taxonomic synonyms. An additional open data source was compiled (wood density from the BIOMASS package in R, as detailed in the documentation).\n\nAll data were checked by lead authors.\n","locations":["POLYGON((87.539 -12.897, 87.539 32.25, 165.234 32.25, 165.234 -12.897, 87.539 -12.897))"],"metadataDate":"2026-07-25T10:16:38.000Z","orcid":["0000-0002-1168-3914","0000-0002-0811-6118","0000-0002-0774-3216","0000-0002-7349-5687","0000-0001-9396-6610","0000-0002-6274-1205","0000-0001-8987-7260","0000-0002-0906-8365","0000-0002-5350-2966","0000-0002-3893-1068","0000-0002-5846-3353","0000-0003-0141-2480","0000-0002-2446-8199","0000-0002-9807-4360","0000-0002-9653-225X","0000-0002-1309-7716","0000-0002-5005-2568","0000-0002-9476-0136","0000-0002-4368-2545","0000-0001-8273-6158","0000-0003-0943-8423","0000-0001-9909-5633","0000-0003-4350-9520","0000-0002-6108-1196","0000-0001-9354-5090","0000-0003-4149-5997","0000-0001-8193-2130","0000-0001-6033-0990"],"organisation":["UK Centre for Ecology & Hydrology","University of Exeter","University of Sunshine Coast","Nanyang Technological University","Biomathematics and Statistics Scotland","Permian Global Research Limited","Swedish University of Agricultural Sciences","National Agency for Research and Innovation (BRIN)","National University of Singapore","University of Dundee","Chiang Mai University","PT Restorasi Ekosistem Indonesia","Universiti Malaysia Sabah","Borneo Orangutan Survival Foundation","University of Stirling","University of Oxford","Nature Conservation Foundation","Bioversity International","Forever Sabah","Universidad Rey Juan Carlos","South East Asia Rainforest Research Partnership","Yayasan Sabah Group","University of Göttingen","University of Cambridge","University of Sheffield","University of Aberdeen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/935781e1-9119-4673-bd09-3fc76ae627d5","10.5285/935781e1-9119-4673-bd09-3fc76ae627d5","doi:10.5285/935781e1-9119-4673-bd09-3fc76ae627d5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/016gb9e15","https://ror.org/02e7b5302","https://ror.org/03jwrz939","https://ror.org/005mzjw74","https://ror.org/02yy8x990","https://ror.org/02hmjzt55","https://ror.org/01tgyzw49","https://ror.org/03h2bxq36","https://ror.org/05m2fqn25","https://ror.org/040v70252","https://ror.org/050351d24","https://ror.org/045wgfr59","https://ror.org/052gg0110","https://ror.org/00ytjke60","https://ror.org/01y9bpm73","https://ror.org/013meh722","https://ror.org/05krs5044","https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of survival and heights of trees planted for forest restoration in South and Southeast Asia and the associated analytical code. The data consists of tree censuses collated from published studies, grey literature and data provided by co-authors,…","state":"published","temporalExtentText":"Data available up to 2021","title":"Survival and heights of trees planted for forest restoration in South and Southeast Asia","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Leicester"],"authorFamilyName":["Rayner"],"authorFullName":["Rayner, M."],"authorGivenName":["M."],"authorOrcid":["0000-0002-5731-2115"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset is a fine resolution 2018 land cover map of the headwaters region of the Welland River Catchment, UK, projected in British national grid. It has a spatial resolution of 10m and thematic resolution of 10 classes. The map covers a 340km2 region across the English counties of Leicestershire, Rutland and Northamptonshire with predominantly agricultural land use.","documentType":"GEMINI_DOCUMENT","familyName":["Rayner"],"fullName":["Rayner, M."],"funder":["Natural Environment Research Council"],"givenName":["M."],"grant":["NE/L002493/1"],"identifier":"63b748ee-22a4-42ca-8a34-20321f6ab8af","incomingCitationCount":1,"keyword":["Land use","Ecosystem services","Catchment Planning","Land cover map","land cover","remote sensing","landscape ecology","catchment","resources management"],"keywordsOther":["Catchment Planning","Land cover map","land cover","remote sensing","landscape ecology","catchment","resources management"],"keywordsTheme":["Land use","Ecosystem services"],"licence":"Open government licence","lineage":"The land cover map was produced through a supervised classification (random forest) of an eight image mosaic of Sentinel-2 imagery captured between 01/05/2018 - 30/09/2018. Training data was collated from crop records of the region held by local land managers, Crop Map of England (CROME) 2018 from the Rural Payments Agency and LCM2018 (Land Cover Map 2018) from the UK Centre for Ecology & Hydrology. Map accuracy was assessed through a confusion matrix of 700 randomly sampled points across the study area and the K coefficient. Overall classification accuracy was 92.1% and the K coefficient was 0.91. Class level accuracy assessments are presented in the supporting information.","locations":["POLYGON((-0.345 52.432, -0.345 52.945, -1.073 52.945, -1.073 52.432, -0.345 52.432))"],"metadataDate":"2026-07-25T06:44:08.000Z","orcid":["0000-0002-5731-2115"],"organisation":["University of Leicester","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/63b748ee-22a4-42ca-8a34-20321f6ab8af","10.5285/63b748ee-22a4-42ca-8a34-20321f6ab8af","doi:10.5285/63b748ee-22a4-42ca-8a34-20321f6ab8af"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a fine resolution 2018 land cover map of the headwaters region of the Welland River Catchment, UK, projected in British national grid. It has a spatial resolution of 10m and thematic resolution of 10 classes. The map covers a 340km2 region across the…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Fine resolution land cover map of the Upper Welland Catchment, UK for 2018","topic":["0/Land use/","0/Ecosystem services/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Institute of Freshwater Ecology","University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["House","Leach","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["House, A.","Leach, D.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorGivenName":["A.","D.","N.","I.","R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Triazine, organophosphate and pyrethroid (TOP) pesticide data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS).. Water samples were collected weekly and during storm periods between 1994 and 1996. The unfiltered samples were extracted on the day of collection using solid-phase-extraction (SPE), the SPE cartridges stored overnight at 4 degreesC and then transported to the Institute of Freshwater Ecology (IFE), Wareham for elution, drying and Gas Chromatography (GC) analysis. Pesticides measured were Atrazine, Cyanazin, Desmetryn, Fenitrothion, HCH gamma, Malathion, Parathion, Permethrin, Prometryn, Simazine, Terbutryn. The sampling and extraction of the pesticides was carried out by the LOIS team at York University and the elution and sample preparation for GC analysis was done at IFE.","documentType":"GEMINI_DOCUMENT","familyName":["House","Leach","Bachiller-Jareno","Tindall","Moore"],"fullName":["House, A.","Leach, D.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"givenName":["A.","D.","N.","I.","R."],"identifier":"b6af91ff-fc56-4ec2-81b8-d384eedcc343","incomingCitationCount":0,"keyword":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","Land Ocean Interaction Study project","LOIS","Pollution","cyanazin","desmetryn","fenitrothion","HCH gamma","malathion","parathion","permethrin","prometryn","simazine","terbutryn","water quality","atrazine","river","pesticide","triazine","organophosphorous compound"],"keywordsOther":["cyanazin","desmetryn","fenitrothion","HCH gamma","malathion","parathion","permethrin","prometryn","simazine","terbutryn","water quality","atrazine","river","pesticide","triazine","organophosphorous compound"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"keywordsProject":["Land Ocean Interaction Study project","LOIS"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Samples were collected in presolvent washed 1 litre borosilicate bottles from the midpoint in the channel by immersion. The samples were returned to the LOIS York Laboratory for separation by passage through frits (Isolute 120-1008F) and spe columns (1 g C18, Isolute 221-0100-C) according to SOP 17/14.11.93 (IFE, Wareham). The samples were stored overnight at 5 C and transported to IFE, Wareham for elution using ethylacetate (EtAc) with the eluate from the filtered solids and water combined following SOP 24/20.4.94 (IFE, Wareham). Extracts were dried and concentrated using nitrogen. Triazines and Organophosphorus pesticides were analysed using nitrogen-phosphate bead detector (Perkin Elmer) and the Pyrethroids by GC/MS in single ion mode (Hewlett-Packard). Blank water samples (ultrapure water) were taken into the field during sample collection and opened and closed on site and then analysed in the same way as the other samples. Spiked water samples containing all the pecticides were included in each batch to enable checks on the pesticide recoveries. Internal standards were included in the GC analysis: ametryn for GC/NPD and Decachlorbiphenol for GC/MS. Triazines and organochlorine compounds were identified by their relative retention time (RRT) with respect to ametryn (+/- 0.002 RRT) and on some samples these were verified by concentration of the samples and GC/MS. Their RRT and coincidence of the base ion and one other ion fragment identified the pyrethroids. A zip file of box-and-whisker plots for each determinand is available, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site to enable prospective users to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"metadataDate":"2026-07-25T12:56:00.000Z","organisation":["Institute of Freshwater Ecology","University of York","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1373029999046","CEH:EIDC::1373029999046","https://catalogue.ceh.ac.uk/id/b6af91ff-fc56-4ec2-81b8-d384eedcc343","10.5285/b6af91ff-fc56-4ec2-81b8-d384eedcc343","doi:10.5285/b6af91ff-fc56-4ec2-81b8-d384eedcc343"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Triazine, organophosphate and pyrethroid (TOP) pesticide data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS).. Water samples were collected weekly and during storm periods between…","state":"published","supplementalDescription":["British Oceanographic Data Centre's webpages for information on and data from the coastal and marine aspects of the LOIS project."],"supplementalName":["LOIS project website"],"temporalExtentText":"Data collected from 1993 to 1997","title":"Triazine, organophosphate and pyrethroid (TOP) pesticide data from rivers [LOIS]","topic":["0/Pollution/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Exeter","University of St Andrews"],"authorFamilyName":["Hill","Chocholek"],"authorFullName":["Hill, T.","Chocholek, M."],"authorGivenName":["T.","M."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The eddy covariance data describes the fluxes of CO2, latent energy, and sensible heat. It also includes ancillary data: air and soil temperatures, net radiation balance, down-welling photosynthetically active radiation, wind speed, wind direction, vapour pressure deficit, friction velocity, Monin-Obukhov stability and modelled respiration. Data collection was carried out at Abbotts Hall marsh from the 15 December 2012 till the 27 January 2015. The Abbotts Hall site is in Essex, South East England, and the meteorological tower was situated in the middle of the marsh. \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","Chocholek"],"fullName":["Hill, T.","Chocholek, M."],"funder":["Natural Environment Research Council"],"givenName":["T.","M.","Tim"],"grant":["NE/J015644/1"],"identifier":"8cfd9a2a-8b68-40c6-94a1-be8e02e869c1","incomingCitationCount":2,"keyword":["Essex","CBESS","BESS","Eddy Covariance","CO2","NEE","LE","H","Latent Energy","Sensible Heat","temperature","relative humidity","vapour pressure deficit","VPD","photosynthetically active radiation","PAR","net radiation","wind direction","wind speed","atmospheric precipitation","air","soil","salt marsh","radiation","atmospheric humidity","meteorology","carbon dioxide"],"keywordsOther":["Eddy Covariance","CO2","NEE","LE","H","Latent Energy","Sensible Heat","temperature","relative humidity","vapour pressure deficit","VPD","photosynthetically active radiation","PAR","net radiation","wind direction","wind speed","atmospheric precipitation","air","soil","salt marsh","radiation","atmospheric humidity","meteorology","carbon dioxide"],"keywordsPlace":["Essex"],"keywordsProject":["CBESS","BESS"],"licence":"Open government licence","lineage":"Measurements are recorded on Campbell Scientific (CS) dataloggers. A CS Closed Path Eddy Covariance (CPEC200) system was used to measure the fluxes. Flux and wind velocity measurements were made at 10 Hz using the CS CPEC200's CSAT3A anemometer install at 4.3 m on a lattice tower by a CS CR3000 datalogger. Fluxes were processed using EdiRe and Matlab.\n\nThe remaining variables are record at 1/60 Hz (i.e. every minute) by a CS CR1000 with multiplexer. Air temperature and humidity is measured with Vaisala HMP155A and then converted to Vapour Pressure deficit (VPD). Precipitation is record by an Environmental Measurements Limited (EML) ARG100 tipping bucket rain gauge. Net radiation is measured with a Kipp and Zonen NR Lite. Photosynthetically active radiation (PAR) is measured with a Skye Instruments SKP215. Soil temperatures are measured with CS 107 thermistors.\n\nMean half hourly values were calculated in Matlab. The time refers to the middle of the half hourly period. E.g. 00:15 refers to the half hour from (and including) 00:00 up to (but not including) 00:30.","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:46:11.000Z","organisation":["University of Exeter","University of St Andrews","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8cfd9a2a-8b68-40c6-94a1-be8e02e869c1","10.5285/8cfd9a2a-8b68-40c6-94a1-be8e02e869c1","doi:10.5285/8cfd9a2a-8b68-40c6-94a1-be8e02e869c1"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"The eddy covariance data describes the fluxes of CO2, latent energy, and sensible heat. It also includes ancillary data: air and soil temperatures, net radiation balance, down-welling photosynthetically active radiation, wind speed, wind direction, vapour pressure deficit,…","state":"published","temporalExtentText":"Data collected from 2012 to 2015","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) eddy covariance flux data for Abbotts Hall, Essex","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Strathclyde"],"authorFamilyName":["Wadkin-Snaith","Mulheran","Johnston"],"authorFullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"authorGivenName":["D.","P.","K."],"authorOrcid":["0000-0002-9469-8010","0000-0002-5817-3479"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII","Plain text"],"description":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher to replicate the molecular dynamics simulations. ","documentType":"GEMINI_DOCUMENT","familyName":["Wadkin-Snaith","Mulheran","Johnston"],"fullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"funder":["Natural Environment Research Council"],"givenName":["D.","P.","K."],"grant":["NE/V010603/1"],"identifier":"25fc1140-07bf-424a-a32c-87dbba9c426a","incomingCitationCount":0,"keyword":["Modelling","Polymers","Surfaces","Molecular dynamics simulations"],"keywordsOther":["Polymers","Surfaces","Molecular dynamics simulations"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Input files were created by researchers. The model parameters were based on the well-known Kremer-Grest model and were modified to include an angle potential and some attractive non-bonded parameters as outlined in the publication: https://doi.org/10.1016/j.polymer.2023.126113\n","metadataDate":"2026-07-24T19:26:05.000Z","orcid":["0000-0002-9469-8010","0000-0002-5817-3479"],"organisation":["University of Strathclyde","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/25fc1140-07bf-424a-a32c-87dbba9c426a","10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a","doi:10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Strathclyde"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher…","state":"published","supplementalName":["Filler-induced heterogeneous nucleation of polymer crystals investigated by molecular dynamics simulations"],"title":"Simulation details, force field parameters, and topology information for use in LAMMPS software for molecular dynamics simulations of polymer crystallisation at a surface","topic":["0/Modelling/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Reading/UKCEH","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Stanbury","Dean","Pescott","Staley"],"authorFullName":["Stanbury, D.","Dean, H.J.","Pescott, O.L.","Staley, J.T."],"authorGivenName":["D.","H.J.","O.L.","J.T"],"authorOrcid":["0000-0002-9602-7202","0000-0002-0685-8046","0000-0001-6467-3712"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains plant community data from a hedgerow experiment investigating the effects of cutting regimes on plant species richness. There were four sites, one in Buckinghamshire, two in Oxfordshire and one in Devon. Data were collected in 2016, using 1m x 10m quadrats on each side of the hedgerow at two positions. One quadrat was situated beneath the woody vegetation of the hedge (inner) and one adjacent to the inner quadrat (outer) to sample plant communities growing beside the hedge. Percentage vegetation cover was surveyed up to a height of 80cm.\n\nThe hedgerow experiment was one of three long running hedgerow experiments focusing on management to maintain and restore the hedgerow resource under agri-environment schemes. These long running experiments were funded by Defra and managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Stanbury","Dean","Pescott","Staley"],"fullName":["Stanbury, D.","Dean, H.J.","Pescott, O.L.","Staley, J.T.","Staley, J."],"givenName":["D.","H.J.","O.L.","J.T","Joanna"],"identifier":"cfeceb7e-b6b5-4f40-a1bc-c25f38deeb9f","incomingCitationCount":0,"keyword":["Oxfordshire","Buckinghamshire","Devon","Environmental survey","Biodiversity","hedgerow","plant species richness","biodiversity","plant species"],"keywordsOther":["hedgerow","plant species richness","biodiversity","plant species"],"keywordsPlace":["Oxfordshire","Buckinghamshire","Devon"],"keywordsTheme":["Environmental survey","Biodiversity"],"licence":"Open government licence","lineage":"Data were digitised into Excel after field collection and then imported into an Oracle database that contained all the data from the long running hedgerow experiments. The data provided here have been exported from the Oracle database. The following measures were taken to ensure quality and accuracy: a standard protocol was used, species data were collected by experienced and appropriately qualified field surveyors, species lists were checked by an expert, and data were checked for anomalous values both prior to and post import into the Oracle database.\n","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T14:07:35.000Z","orcid":["0000-0002-9602-7202","0000-0002-0685-8046","0000-0001-6467-3712"],"organisation":["University of Reading/UKCEH","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-05-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfeceb7e-b6b5-4f40-a1bc-c25f38deeb9f","10.5285/cfeceb7e-b6b5-4f40-a1bc-c25f38deeb9f","doi:10.5285/cfeceb7e-b6b5-4f40-a1bc-c25f38deeb9f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains plant community data from a hedgerow experiment investigating the effects of cutting regimes on plant species richness. There were four sites, one in Buckinghamshire, two in Oxfordshire and one in Devon. Data were collected in 2016, using 1m x…","state":"published","supplementalDescription":["J.T. Staley, N.P. Adams, S.R. Amy, M.S. Botham, L. Hulmes, S. Hulmes, H.J. Dean, M. McCracken, N. Mitschunas, R.E. Chapman, J.M. Peyton, J. Savage, L.E. Ridding, K.S. Baldock and R.F. Pywell (2018). Effects of hedgerow management and restoration on biodiversity. Defra research project BD2114. "],"supplementalName":["Effects of hedgerow management and restoration on biodiversity"],"temporalExtentText":"Data collected from 2016 to 2016","title":"Plant community basal data from a hedgerow cutting experiment in England, 2016","topic":["0/Environmental survey/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Manchester"],"authorFamilyName":["Magee","Huxley","Tso"],"authorFullName":["Magee, E.","Huxley, D.","Tso, C.-.M."],"authorGivenName":["E.","D.","C.-H.M."],"authorOrcid":["0000-0002-2415-0826"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Jupyter notebook","Comma-separated values (CSV)"],"description":"This resource comprises two Jupyter notebooks that includes the model code in python to train a random forest model to predict long-term seasonal nitrate and orthophosphate concentrations at each river reach in Great Britain. The input features considered are catchment descriptors and land cover matched to the reaches. The training data is obtained from the Environmental Agency Water Quality Archive, 2010-2020. This method provides an effective way to map water quality data from stations to the river network.\n\nA live demo of a web application to visualize the dataset can be viewed at https://moisture-wqmlviewer.datalabs.ceh.ac.uk/wqml_viewer","documentType":"GEMINI_DOCUMENT","familyName":["Magee","Huxley","Tso"],"fullName":["Magee, E.","Huxley, D.","Tso, C.-.M.","Tso, M."],"givenName":["E.","D.","C.-H.M.","Michael"],"identifier":"ba208b6c-6f1a-43b1-867d-bc1adaff6445","incomingCitationCount":0,"keyword":["UK-SCAPE","Modelling","Water quality","Hydrology","Jupyter notebook","Python","random forest model","web application","orthophosphate","River network","Machine learning","river","nitrate","modelling"],"keywordsOther":["Jupyter notebook","Python","random forest model","web application","orthophosphate","River network","Machine learning","river","nitrate","modelling"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Modelling","Water quality","Hydrology"],"licence":"Open government licence","lineage":"The machine learning model is trained on the following datasets:\n* Land cover map\n* NRFA Catchment descriptors\n* UKCEH digital river network of Great Britain (1:50,000)\n* Environmental Agency water quality archive\nMore information is provided in the supporting documentation accompanying this resource.\n\nPlease note that only a subset of the data (HA 72 Wyre and Lune) is provided for demonstration. This is because the underlying river network is separately licensed (https://catalogue.ceh.ac.uk/documents/7d5e42b6-7729-46c8-99e9-f9e4efddde1d). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:58:18.000Z","orcid":["0000-0002-2415-0826"],"organisation":["UK Centre for Ecology & Hydrology","University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-05T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ba208b6c-6f1a-43b1-867d-bc1adaff6445","10.5285/ba208b6c-6f1a-43b1-867d-bc1adaff6445","doi:10.5285/ba208b6c-6f1a-43b1-867d-bc1adaff6445"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This resource comprises two Jupyter notebooks that includes the model code in python to train a random forest model to predict long-term seasonal nitrate and orthophosphate concentrations at each river reach in Great Britain. The input features considered are catchment…","state":"published","supplementalName":["A live demo of the web application to visualize the model","Environment Agency water quality data archive"],"temporalExtentText":"Data collected from 2010 to 2020","title":"Random forest model to predict long-term seasonal nitrate and orthophosphate concentrations in British river reaches","topic":["0/Modelling/","0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Mancini","Cooke","Woodcock","Greenop","Johnson","Isaac"],"authorFullName":["Mancini, F.","Cooke, R.","Woodcock, B.A.","Greenop, A.","Johnson, A.C.","Isaac, N.J.B."],"authorGivenName":["F.","R.","B.A.","A.","A.C.","N.J.B."],"authorOrcid":["0000-0003-4085-4978","0000-0003-0601-8888","0000-0003-0300-9951","0000-0002-7179-3947","0000-0003-1570-3764","0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains occupancy estimates for 1,535 species of six invertebrate taxa (Apoidea - bees, Syrphidae - hoverflies, Coccinellidae - ladybirds, Arachnida - spiders, Carabidae - carabids and Heteroptera - plant bugs) in regions of high, low and no cropland cover in Great Britain between 1990 and 2019. Occupancy is the proportion of 1km grid cells occupied by a species, as estimated by an occupancy-detection model. The dataset includes 999 samples from the model’s posterior distribution per species:year combination and for each of three regions of high, low  and no cropland cover.","documentType":"GEMINI_DOCUMENT","familyName":["Mancini","Cooke","Woodcock","Greenop","Johnson","Isaac"],"fullName":["Mancini, F.","Cooke, R.","Woodcock, B.A.","Greenop, A.","Johnson, A.C.","Isaac, N.J.B."],"funder":["Natural Environment Research Council"],"givenName":["F.","R.","B.A.","A.","A.C.","N.J.B."],"grant":["NE/S000100/2"],"identifier":"28538610-0936-48b8-b167-ee6ee8fdc491","incomingCitationCount":0,"keyword":["ChemPop","Biodiversity","invertebrates","agroecosystems","biodiversity trend","Carabidae","Syrphidae","Apoidea","Arachnida","Ladybirds","Spiders","Bees","Carabids","Hoverflies","Plantbugs"],"keywordsOther":["invertebrates","agroecosystems","biodiversity trend","Carabidae","Syrphidae","Apoidea","Arachnida","Ladybirds","Spiders","Bees","Carabids","Hoverflies","Plantbugs"],"keywordsProject":["ChemPop"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The dataset was generated using observations of species collated by UK recording schemes and societies as the input data for a Bayesian occupancy-detection model. The cropland cover regions were defined using the Land Cover Change 1990-2015 (25m raster, GB). The input species data was standardized according to the requirements of the model and to desired coverage. Observations of species had to meet the following criteria to be included in the final input dataset:\n  - Date of the record known to the day\n  - Location of the record known to 1x1km square precision\n  - Record was from 1990 onwards\n  - The location of the record was in GB (strictly England, Scotland and Wales)\n\nSpecies names were checked with guidance from the scheme organisers, duplicate records were then removed from the dataset. The occupancy modelling framework used here was based on the random walk model. Alterations made to the modelling framework include cropland cover region year effects in the state model and a categorical specification of list length in the detection model. For a complete description of the model, see the 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":"2026-07-24T19:28:40.000Z","orcid":["0000-0003-4085-4978","0000-0003-0601-8888","0000-0003-0300-9951","0000-0002-7179-3947","0000-0003-1570-3764","0000-0002-4869-8052"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-12-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/28538610-0936-48b8-b167-ee6ee8fdc491","10.5285/28538610-0936-48b8-b167-ee6ee8fdc491","doi:10.5285/28538610-0936-48b8-b167-ee6ee8fdc491"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains occupancy estimates for 1,535 species of six invertebrate taxa (Apoidea - bees, Syrphidae - hoverflies, Coccinellidae - ladybirds, Arachnida - spiders, Carabidae - carabids and Heteroptera - plant bugs) in regions of high, low and no cropland cover…","state":"published","temporalExtentText":"Data collected from 1990 to 2019","title":"Annual estimates of occupancy for six invertebrate taxa in areas of high, low and no cropland cover in Great Britain, 1990-2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"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":["University of Sheffield","Wageningen University","Consiglio Nazionale delle Ricerche","University of Exeter"],"authorFamilyName":["Keane","Hoosbeek","Taylor","Miglietta","Phoenix","Hartley"],"authorFullName":["Keane, J.B.","Hoosbeek, M.R.","Taylor, C.R.","Miglietta, F.","Phoenix, G.K.","Hartley, I.P."],"authorGivenName":["J.B.","M.R.","C.R.","F.","G.K.","I.P."],"authorOrcid":["0000-0001-7614-8018","0000-0003-0617-0089","0000-0003-4399-7472","0000-0003-1474-8143","0000-0002-0911-8107","0000-0002-9183-6617"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains potential activities of soil extra cellular enzyme measured from soil samples from the Phosphorus Limitation And ecosystem responses to Carbon dioxide Enrichment (PLACE). The enzyme activities measured are 1,4-β-glucosidase, cellobiohydrolase, N-acetyl β-D-glucosaminidase, leucine aminopeptidase, and acid phosphatase.\n\nSoil samples were collected in Autumn 2018 and analysed in the laboratory at Wageningen University.\n\nThe experimental design uses 35 cm x 35 cm turf mesocosms from a long term nutrient manipulation experiment. The original experiment is based at Wardlow Hay Cop in the Peak District, UK. Two adjacent P-limited grass lands on a limestone/ calcareous soil and an acidic soil have had nutrient manipulated for more than 20 years. In 2018 these mesocosms were exposed to either ambient CO2 (ca. 410 ppm) or 600 ppm.","documentType":"GEMINI_DOCUMENT","familyName":["Keane","Hoosbeek","Taylor","Miglietta","Phoenix","Hartley"],"fullName":["Keane, J.B.","Hoosbeek, M.R.","Taylor, C.R.","Miglietta, F.","Phoenix, G.K.","Hartley, I.P.","Keane, B."],"givenName":["J.B.","M.R.","C.R.","F.","G.K.","I.P.","Ben"],"identifier":"5e944db2-305f-4f15-87b4-5110224ac90d","incomingCitationCount":0,"keyword":["Environmental survey","Climate and climate change","Enzyme stoichiometry","Soil microbe","eCO2","phosphorus","nitrogen","carbon dioxide","soil"],"keywordsOther":["Enzyme stoichiometry","Soil microbe","eCO2","phosphorus","nitrogen","carbon dioxide","soil"],"keywordsTheme":["Environmental survey","Climate and climate change"],"licence":"Open government licence","lineage":"All data were generated by the authors. Enzyme analyses were conducted in triplicate (technical replication) and activities of unknown samples were calculated in reference to known substrate standards. All calculations were checked for errors prior to acceptance.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:10:37.000Z","orcid":["0000-0001-7614-8018","0000-0003-0617-0089","0000-0003-4399-7472","0000-0003-1474-8143","0000-0002-0911-8107","0000-0002-9183-6617"],"organisation":["University of Sheffield","Wageningen University","Consiglio Nazionale delle Ricerche","University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-01-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5e944db2-305f-4f15-87b4-5110224ac90d","10.5285/5e944db2-305f-4f15-87b4-5110224ac90d","doi:10.5285/5e944db2-305f-4f15-87b4-5110224ac90d"],"resourceType":"Dataset","rightsHolder":["University of Sheffield","University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/05krs5044","https://ror.org/03yghzc09"],"shortenedDescription":"This dataset contains potential activities of soil extra cellular enzyme measured from soil samples from the Phosphorus Limitation And ecosystem responses to Carbon dioxide Enrichment (PLACE). The enzyme activities measured are 1,4-β-glucosidase, cellobiohydrolase,…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Soil extracellular enzyme activity under controlled CO2 concentrations, Sheffield","topic":["0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Ministry of Health, Nairobi, Kenya","International Livestock Research Institute (ILRI) Kenya","Ministry of Health"],"authorFamilyName":["Njeru","Lindahl","Karanja","Grace","Bett"],"authorFullName":["Njeru, I.","Lindahl, J.F.","Karanja, J.","Grace, D.","Bett, B."],"authorGivenName":["I.","J.F.","J.","D.","B."],"authorOrcid":["0000-0003-0610-3492","0000-0002-1175-0398","0000-0001-9521-5773","0000-0002-0195-9489","0000-0001-9376-2941"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data include results from serological analysis carried out on serum collected from randomly recruited subjects, merged with household and subject level data about the subjects. The subject and household data collected included occupation of the household head, size of the household, and occupation, gender and age of the subject. Samples were collected from 303 people based in irrigated areas, 728 people from pastoral areas and 81 people from riverine areas along River Tana in Tana River and Garissa counties, Kenya. Field surveys were implemented in December 2013 to February 2014 and laboratory analyses were completed in June 2015. \n\nSerum samples were harvested from blood samples obtained from randomly recruited subjects and screened for anti-RVF virus immunoglobulin G using inhibition ELISA (enzyme-linked immunosorbent assay) immunoassay. The household and subject metadata was collected using Open Data Kit (ODK) (https://opendatakit.org) loaded into smart phones.\n\nThe aim of the project was to determine the risk of Rift Valley Fever virus exposure in people living in areas with different land use and socio-ecological settings. \nThe data were collected by experienced researchers from the International Livestock Research Institute (Kenya), the Department of Disease Surveillance and Response, Kenyatta National Hospital\n\nThis dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project no NE/J001570/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the Consultative Group on International Agricultural Research (CGIAR) Research Program Agriculture for Nutrition and Health. ","documentType":"GEMINI_DOCUMENT","familyName":["Njeru","Lindahl","Karanja","Grace","Bett"],"fullName":["Njeru, I.","Lindahl, J.F.","Karanja, J.","Grace, D.","Bett, B."],"funder":["Natural Environment Research Council"],"givenName":["I.","J.F.","J.","D.","B.","Bernard"],"grant":["NE/J001570/1"],"identifier":"8a668a4f-3526-4443-9e77-cea67f04ca19","incomingCitationCount":1,"keyword":["Kenya","Tana River","Garissa","Dynamic Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)","Rift Valley Fever (RVF)"," seroprevalence","serum"],"keywordsOther":["Rift Valley Fever (RVF)"," seroprevalence","serum"],"keywordsPlace":["Kenya","Tana River","Garissa"],"keywordsProject":["Dynamic Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)"],"licence":"Open government licence","lineage":"Serum samples were harvested from blood samples obtained from randomly recruited subjects and screened for anti-RVF virus immunoglobulin G using inhibition ELISA (enzyme-linked immunosorbent assay) immunoassay. Samples were preserved in the field and while in-transit in dry ice, and were immediately transferred into liquid nitrogen tanks on arrival at the research laboratories at the International Livestock Research Institute, Nairobi. \nHousehold and subject level data were collected using a short questionnaire, held on a smart phone, administered to the subject on the day of sampling. \nThe dataset was created by merging the household and subject level data with the laboratory serological analysis results. Both of these datasets were stored initially in Microsoft Excel; they were converted later to csv for ingestion. In the field, quality assurance was ensured by using bar coded sample containers and using Open Data Kit (ODK) for data collection to avoid recording errors. In the lab, quality assurance was done by running serological tests in duplicates.   \n","locations":["POLYGON((38.93 -1.89, 38.93 0.64, 41.14 0.64, 41.14 -1.89, 38.93 -1.89))"],"metadataDate":"2026-09-15T08:45:35.000Z","orcid":["0000-0003-0610-3492","0000-0002-1175-0398","0000-0001-9521-5773","0000-0002-0195-9489","0000-0001-9376-2941"],"organisation":["Ministry of Health, Nairobi, Kenya","International Livestock Research Institute (ILRI) Kenya","Ministry of Health","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8a668a4f-3526-4443-9e77-cea67f04ca19","10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19","doi:10.5285/8a668a4f-3526-4443-9e77-cea67f04ca19"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"These data include results from serological analysis carried out on serum collected from randomly recruited subjects, merged with household and subject level data about the subjects. The subject and household data collected included occupation of the household head,…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Rift Valley fever virus seroprevalence data from people involved in a cross-sectional survey in Tana River and Garissa counties, Kenya (December 2013 - February 2014)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Université d'Orléans","University of Leeds","University of Bristol"],"authorFamilyName":["Baude","Kunin","Memmott"],"authorFullName":["Baude, M.","Kunin, W.E.","Memmott, J."],"authorGivenName":["M.","W.E.","J."],"authorRor":["https://ror.org/014zrew76","https://ror.org/024mrxd33","https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of flower density values of common British plant species. The data were collected during field surveys taking place from February to October in 2011 and 2012. The majority of field sites were located in the south of England. The data were collected under a project named 'Agriland' ( Linking agriculture and land use change to pollinator populations) based at the University of Bristol, as part of the UK Insect Pollinators Initiative. The Insect Pollinators Initiative (IPI) was funded by Biotechnology and Biological Sciences Research Council (BBSRC), Natural Environment Research Council (NERC), Department for Environment, Food and Rural Affairs (Defra), the Scottish Government and the Wellcome Trust, under the auspices of the Living With Environmental Change (LWEC) partnership. ","documentType":"GEMINI_DOCUMENT","familyName":["Baude","Kunin","Memmott"],"fullName":["Baude, M.","Kunin, W.E.","Memmott, J."],"givenName":["M.","W.E.","J.","Mathilde"],"identifier":"6c6d3844-e95a-4f84-a12e-65be4731e934","incomingCitationCount":3,"keyword":["Pollinators","plants","flower density"],"keywordsOther":["plants","flower density"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"The data were collected during field surveys taking place from February to October in 2011 and 2012. The majority of field sites were located in the south of England. For each species, one or two field populations, in one or two distinct locations, were monitored for the study. For further information, see the Online Supporting Documentation. ","locations":["POLYGON((-3.399 50.986, -3.399 51.68, -2.004 51.68, -2.004 50.986, -3.399 50.986))"],"metadataDate":"2026-07-25T06:48:30.000Z","organisation":["Université d'Orléans","University of Leeds","University of Bristol","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-11-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6c6d3844-e95a-4f84-a12e-65be4731e934","10.5285/6c6d3844-e95a-4f84-a12e-65be4731e934","doi:10.5285/6c6d3844-e95a-4f84-a12e-65be4731e934"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/014zrew76","https://ror.org/024mrxd33","https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of flower density values of common British plant species. The data were collected during field surveys taking place from February to October in 2011 and 2012. The majority of field sites were located in the south of England. The data were collected…","state":"published","temporalExtentText":"Data collected from 2011 to 2012","title":"Flower density values of common British plant species [AgriLand]","topic":["0/Pollinators/"],"version":1.0,"view":["public","clamw"]},{"altTitle":["Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project","Ecosystem Services for Poverty Alleviation (ESPA) programme"],"authorAffiliation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh"],"authorFamilyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"authorFullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"authorGivenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"authorOrcid":["0000-0002-5019-1015","0000-0002-5119-5894","0000-0001-7552-7470"],"authorRor":["https://ror.org/02srvn192","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Rich text format"],"description":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood, wood for charcoal production, etc.) and their causes (e.g. change in land use) in rural Mozambique.\n\nInformation was gathered at 20 workshops held in Maputo, Xai Xai, Lichinga, Quelimane, and at village level in the districts of Mabalane, Marrupa and Gurue in 2014 and 2015. The objective of the workshops was to examine aspects that influence well-being and their causes in the miombo woodland area of rural Mozambique. One of the objectives of the project was to construct Bayesian belief networks (BBNs) to model future land use change scenarios in rural Mozambique using a participatory approach, to evaluate the consequences of deforestation in the well-being of the rural population.\n \nThe data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project and were funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme, funded by NERC, the Economic & Social Research Council (ESRC) and the Department for International Development (DfID), the three are government organizations from UK. The project was led by the University of Edinburgh, with the collaboration of the Universidad Mondlane, the IIED, and other organizations. ","documentType":"GEMINI_DOCUMENT","familyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"fullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"funder":["Natural Environment Research Council"],"givenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"grant":["NE/K010395/1"],"identifier":"14622c4b-8bd4-4624-8ea6-35da7da211cd","incomingCitationCount":0,"keyword":["Mozambique","miombo woodland","ACES","ESPA programme","Ecosystem services"],"keywordsPlace":["Mozambique","miombo woodland"],"keywordsProject":["ACES","ESPA programme"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"The data were collected during the development of 20 workshops. Four of them were in cities, and the rest in rural villages. The first type of workshops were divided in two parts, one devoted to Bayesian belief networks (BBN) and the second to scenario construction. \n\nThe data was collected in different ways and formats: 1) one to three persons took notes during the workshops; 2) we recorded most of the discussions after obtaining the acceptance from the participants for doing so; 3) we took pictures of the materials generated, with the necessary quality to read and interpret the content. \n\nTwo persons were in charge of writing down the results from the workshops in the presented documents: one of them wrote a first version, which was then reviewed by a second person. Both persons had been present during the workshops. Both of them did a final review of the documents, and then were approved as official results from the project. ","locations":["POLYGON((30.21 -26.92, 30.21 -10.33, 41.05 -10.33, 41.05 -26.92, 30.21 -26.92))"],"metadataDate":"2026-09-15T08:41:41.000Z","orcid":["0000-0002-5019-1015","0000-0002-5119-5894","0000-0001-7552-7470"],"organisation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-11-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/14622c4b-8bd4-4624-8ea6-35da7da211cd","10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd","doi:10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/02srvn192","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood,…","state":"published","supplementalDescription":["Understanding Land Use, Land Cover and Woodland-Based Ecosystem Services Change, Mabalane, Mozambique. 2017 Mansour Mahamane, Pedro Zorrilla-Miras, Peter Verweij, Casey Ryan, Genevieve Patenaude, Isla Grundy, Isilda Nhantumbo, Marc Metzger, Natasha Ribeiro, Sophia Baumert, Frank Vollmer. Energy and Environment Research; Vol. 7, No. 1, doi:10.5539/eer.v7n1p1 ","Environmental Conservation and Social Benefits of Charcoal Production in Mozambique. 2017. Pedro Zorrilla-Miras, Mansour Mahamane, Marc J. Metzger, Sophia Baumert, Frank Vollmer, Ana Catarina Luz, Emily Woollen, Almeida A. Sitoe, Genevieve Patenaude, Isilda Nhantumbo, Casey M.Ryan, James Paterson, Maria Juliet Matediane, Natasha Sofian Ribeiro, Isla M.Grundy. Ecological Economics Volume 144, February 2018, Pages 100-111\n","Making the links between woodlands and wellbeing: a multi-stakeholder approach. 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The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Product consists of the dominant Target Class per 1km square, raster dataset, Northern Ireland only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"fullName":["Morton, R.D.","Rowland, C.","Wood, C.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"givenName":["R.D.","C.","L.","G.","R.","I."],"identifier":"62dfb6c0-da6b-4b4c-a1c0-595bca2f1e5f","incomingCitationCount":0,"keyword":["Northern Ireland","Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsOther":["Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsPlace":["Northern Ireland"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. 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These two chemistry data sets cover a period of rapid change in water quality across the Thames catchment, due largely to improvements in sewage treatment.\n\nIn addition, organic pollutant concentrations (11 antibiotics, 3 decongestants and an antiviral) at 21 of the CEH Thames Initiative sites from November 2009 to May 2011, and species-level macrinvertebrate community and habitat data from 14 CEH Thames Initiative sites (2009-2010) are provided. These matched observations allow links between organic and inorganic pollution to be investigated at common sites, and how these pollutants impact on river invertebrate community structure.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bowes"],"fullName":["Bowes, M."],"givenName":["M."],"identifier":"70baf58a-baec-45fb-958a-e6883f7f9f02","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-1.846 51.253, -1.846 52.176, -0.503 52.176, -0.503 51.253, -1.846 51.253))"],"metadataDate":"2026-07-25T06:51:06.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/70baf58a-baec-45fb-958a-e6883f7f9f02"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data sets provide chemical and biological data from common monitoring sites across the Thames Catchment.  They comprise of comprehensive weekly water quality data at multiple sites along the River Thames and its tributaries, intermittently from 1997 to 2007 (UK…","state":"published","temporalExtentText":"Data collected from 1997 to 2013","title":"Water quality and biological data from the River Thames and its tributaries (1997 to 2013)","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rameshwaran","Bell","Davies","Kay"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"authorGivenName":["P.","V.A.","H.N.","A.L."],"authorOrcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0002-5526-1756"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or \"HMF-WA\" model. The ensembles correspond to historical and three projected future climate scenarios (RCP2.6, RCP4.5 and RCP8.5) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Bell","Davies","Kay"],"fullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"funder":["Natural Environment Research Council"],"givenName":["P.","V.A.","H.N.","A.L.","Ponnambalam"],"grant":["NE/M020428/1"],"identifier":"6429828f-6a06-4d2d-8f50-4910b18f7ff4","incomingCitationCount":1,"keyword":["West Africa","Climate and climate change","Hydrology","Modelling","African Monsoon Multidisciplinary Analysis AMMA"],"keywordsOther":["African Monsoon Multidisciplinary Analysis AMMA"],"keywordsPlace":["West Africa"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"licence":"Open government licence","lineage":"The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. 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See Supporting Information for more details.","locations":["POLYGON((-18 3, -18 26, 25 26, 25 3, -18 3))"],"metadataDate":"2026-07-25T06:44:26.000Z","orcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0002-5526-1756"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6429828f-6a06-4d2d-8f50-4910b18f7ff4","10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4","doi:10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099)…","state":"published","supplementalDescription":["The AMMA-2050 project was a United Kingdom’s Natural Environment Research Council (NERC)/Department for International Development (DFID) Future Climate for Africa (FCFA) initiative to address the challenges of understanding how the monsoon will change in future decades, and how this information can be most effectively used to support climate-compatible development in the region.","RAMESHWARAN, P., BELL, V. A., DAVIES, H. N. & KAY, A. L. submitted. How might climate change affect river flows across West Africa? Climatic Change."],"supplementalName":["AMMA-2050 project"],"temporalExtentText":"Data collected from 1950 to 2099","title":"Historical (1950-2005) and projected (2006-2099) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP5 projected climate data","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Environment Agency","University of Reading"],"authorFamilyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"authorFullName":["Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"authorGivenName":["M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"authorOrcid":["0000-0002-4984-1607"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set comprises of hourly physical and nutrient monitoring data of The Cut at Bray Marina (National grid reference SU915786), from May 2010 to February 2012.  Parameters measured are total phosphorus, total reactive phosphorus, ammonium, conductivity, temperature, dissolved oxygen, pH and total chlorophyll.  The accompanying hourly averaged flow data (from the EA flow gauging station at Binfield, approximately 10 km upstream of the monitoring site) are also supplied. 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The monitoring site installation, telemetry / data collection and maintenance / calibration of the YSI probe was conducted by the Environment Agency's National Water Quality Instrumentation Service.  The hourly phosphorus data was produced by CEH. Data processing was carried out jointly by CEH and University of Reading. Full details of the field procedures and laboratory groundtruthing samples are outlined in the accompanying papers (see Additional Information Source, under Description tab).   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Parameters measured are total phosphorus, total reactive phosphorus, ammonium, conductivity, temperature,…","state":"published","supplementalDescription":["Bowes, M.J., Armstrong, L.K., Harman, S.A., Wickham, H.D., Nicholls, D.J.E., Scarlett, P.M., … Read, D.S. (2018). Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform. Earth System Science Data, 10(3), 1637-1653","Halliday, S.J., Skeffington, R.A., Wade, A.J., Bowes, M.J., Gozzard, E., Newman, J.R., … Jarvie, H.P. (2015). High-frequency water quality monitoring in an urban catchment: hydrochemical dynamics, primary production and implications for the Water Framework Directive. Hydrological Processes, 29(15), 3388-3407","Wade, A.J., Palmer-Felgate, E.J., Halliday, S.J., Skeffington, R.A., Loewenthal, M., Jarvie, H.P., … Newman, J.R. (2012). Hydrochemical processes in lowland rivers: insights from in situ, high-resolution monitoring. Hydrology and Earth System Sciences, 16(11), 4323-4342"],"temporalExtentText":"Data collected from 2010 to 2012","title":"Hourly physical and nutrient monitoring data for The Cut, Berkshire (2010-2012)","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Sinar Mas Agro Resources and Technology Research Institute (SMARTRI)"],"authorFamilyName":["Drewer","White","Sionita","Pujianto"],"authorFullName":["Drewer, J.","White, S.","Sionita, R.","Pujianto, P."],"authorGivenName":["J. ","S.","R. ","P. "],"authorOrcid":["0000-0002-6263-6341"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in riparian buffers of oil palm plantations on mineral soil, in Riau, Sumatra, Indonesia.  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"],"grant":["NE/R000131/1"],"identifier":"f587847a-7505-4fd8-99db-b99cc0285f9f","incomingCitationCount":0,"keyword":["Agriculture","Oil Palm","Mineral soil","Nitrous Oxide","nitrogen oxides","methane","greenhouse gas","soil"],"keywordsOther":["Oil Palm","Mineral soil","Nitrous Oxide","nitrogen oxides","methane","greenhouse gas","soil"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Greenhouse gas concentrations were measured using static chambers, enclosed for 45 minutes. Multiple regressions (including linear and hierarchical multiple regression) were fitted to calculate the best fit flux, using the RCflux R package, written by Dr Peter Levy (UKCEH). ","locations":["POLYGON((99.669 -1.549, 99.669 2.778, 104.106 2.778, 104.106 -1.549, 99.669 -1.549))"],"metadataDate":"2026-07-25T18:07:31.000Z","orcid":["0000-0002-6263-6341"],"organisation":["UK Centre for Ecology & Hydrology","Sinar Mas Agro Resources and Technology Research Institute (SMARTRI)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f587847a-7505-4fd8-99db-b99cc0285f9f","10.5285/f587847a-7505-4fd8-99db-b99cc0285f9f","doi:10.5285/f587847a-7505-4fd8-99db-b99cc0285f9f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in riparian buffers of oil palm plantations on mineral soil, in Riau, Sumatra, Indonesia.  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