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Infections of P. pluvialis have been reported on Douglas fir and Western hemlock in Cornwall, Devon, Cumbria, Wales and Scotland since the outbreak was first detected in 2021. Outside of the UK, pine species (Pinus radiata, P. strobus, P. patula) are also susceptible to the pathogen. The scored fragment data were intersected with the boundaries of conservancies, local authorities and active P. pluvialis demarcated areas to summarise the distribution of risks across regions in Scotland.  ","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V.","Louise Barwell"],"funder":["Natural Environment Research Council","Scotland's Plant Health Centre","Department for Environment Food and Rural Affairs"],"givenName":["L. J.","K.","G.","F.","D. E. L.","R.","B. 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The distributions of Douglas fir and western hemlock fragments in Scotland were mapped using the National Forest Estate Subcompartments 2019 and the Native Woodland Survey of Scotland. This was supplemented with Scottish Forestry Phytophthora surveillance data and Statutory Plant Health Notices (SPHNs) since 2013 and detections on Douglas fir or western hemlock in a global Phytophthora database. Felled areas since 2013 were removed using the National Forest Inventory. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. The consensus among workshop participants was for climate suitability to be the primary risk factor. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of the climate suitability models for other Phytophthora species has been attempted using independent UK and European detections.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-11-05T13:40:47.000Z","orcid":["0000-0002-1643-1046","0009-0001-2611-3391","0000-0003-0334-5867","0000-0003-2675-9464","0000-0002-9154-7954","0000-0001-8151-2769","0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/921fcc2e-7491-4058-a21b-3d1de0be1507","10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507","doi:10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset maps the risks of Phytophthora pluvialis infection for 11098 forest fragments in Scotland identified as containing the known hosts Douglas fir or western hemlock. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through…","state":"published","title":"Spatial risk analysis for Phytophthora pluvialis infection of Douglas fir and western hemlock in Scotland","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"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. The monitoring programme was funded by the EPSRC, through the LIMPIDS project.","documentType":"GEMINI_DOCUMENT","familyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"fullName":["Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"givenName":["M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"identifier":"abe4dd7c-a340-4595-a57f-8c1446ff7656","incomingCitationCount":2,"keyword":["United Kingdom","England","Berkshire","Hourly"],"keywordsOther":["Hourly"],"keywordsPlace":["United Kingdom","England","Berkshire"],"licence":"Non-Open government licence","lineage":"Total and total reactive phosphorus data was produced in the field using a Hach Lange Phosphax Sigma auto-analyser.  The other parameters were monitored using a YSI 6600 sonde.  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. 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The data were extracted and quality checked for accuracy and compliance with the requirements of the project, with no other processing of the data being performed with the exception of the necessary formatting for use in the project.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-11-05T13:34:10.000Z","orcid":["0000-0003-0256-2069","0000-0003-1978-7715","0000-0003-2418-3625","0000-0001-6298-3194"],"organisation":["Institute of Zoology, Zoological Society of London","University College London","University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8e157aa1-a81c-436d-bb5d-e7129d91487b","10.5285/8e157aa1-a81c-436d-bb5d-e7129d91487b","doi:10.5285/8e157aa1-a81c-436d-bb5d-e7129d91487b"],"resourceType":"Dataset","rightsHolder":["Institute of Zoology, Zoological Society of London"],"ror":["https://ror.org/03px4ez74","https://ror.org/02jx3x895","https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains information on rates of hatching failure, threat status, and management interventions for 244 species of birds extracted from 233 previously published studies.","state":"published","supplementalName":["Systematic review of avian hatching failure and implications for conservation"],"title":"Avian hatching failure and management interventions in published studies of wild and captive populations","version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of Kent","University of Melbourne","Universiti Malaysia Sabah","Newcastle University","South East Asia Rainforest Research Partnership (SEARRP)","Institute of Zoology, Zoological Society of London"],"authorFamilyName":["Deere","Guillera-Arroita","Baking","Bernard","Pfeifer","Reynolds","Wearn","Davies","Struebig"],"authorFullName":["Deere, N.J.","Guillera-Arroita, G.","Baking, E.L.","Bernard, H.","Pfeifer, M.","Reynolds, G.","Wearn, O.R.","Davies, Z.G.","Struebig, M.J."],"authorGivenName":["N.J.","G.","E.L.","H.","M.","O.R.","Z.G.","M.J."],"authorOrcid":["0000-0003-1299-2126","0000-0002-8387-5739","0000-0002-6775-3141","0000-0001-8258-3534","0000-0003-0767-1467","0000-0003-2058-8502"],"authorRor":["https://ror.org/00xkeyj56","https://ror.org/01ej9dk98","https://ror.org/040v70252","https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set contains stacked detection matrices for 28 recorded mammal species across 115 sampling locations at the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo.  Information for each camera trap sampling location, including spatial information and sampling effort is included.  Data were collected in order to determine the contribution of carbon-based policies to biodiversity conservation in agricultural land-use mosaics.  These data are essential to the development of the occupancy detection matrix.  Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Deere","Guillera-Arroita","Baking","Bernard","Pfeifer","Reynolds","Wearn","Davies","Struebig"],"fullName":["Deere, N.J.","Guillera-Arroita, G.","Baking, E.L.","Bernard, H.","Pfeifer, M.","Reynolds, G.","Wearn, O.R.","Davies, Z.G.","Struebig, M.J.","Deere, N."],"givenName":["N.J.","G.","E.L.","H.","M.","O.R.","Z.G.","M.J.","Nick"],"identifier":"62774180-ae72-4873-9482-e8be3935f533","incomingCitationCount":0,"keyword":["Malaysia","Borneo","Sabah"," Stability of Altered Forest Ecosystems (SAFE)","Human-modified tropical forest (HMTF)","fragmentation","occupancy","human-modified landscape "," oil palm","tropical forest","mammal"],"keywordsOther":["fragmentation","occupancy","human-modified landscape "," oil palm","tropical forest","mammal"],"keywordsPlace":["Malaysia","Borneo","Sabah"],"keywordsProject":[" Stability of Altered Forest Ecosystems (SAFE)","Human-modified tropical forest (HMTF)"],"licence":"Open government licence","lineage":"Remotely-operated digital cameras (HC500 Hyperfire, Reconyx, Wisconsin, U.S.A.) were deployed at 130 locations across the 203 landscape between May and September 2015. These locations were separated by a mean distance of 1.4 km and distributed across an elevational gradient (mean=376 m.a.s.l.; range=64-735 m.a.s.l.). Accounting for theft, vandalism and malfunction, data were retrieved from 120 locations.  Sampling was stratified  within four broad habitat classes to capture the heterogeneity of the landscape: continuous logged forest, highly disturbed forest, isolated forest remnants and oil palm plantations. Due to the number of cameras available, data collection was completed over two rotations, each comprising 65 locations. Single units were deployed for 42 consecutive nights per location, yielding a total survey effort of 4,669 camera nights. Cameras were positioned at a standardised height of 30cm, on low resistance travel routes (e.g. riparian areas, logging roads, skid trails) and off-trail to account for inter- and intra-specific differences in habitat use. \n\nPrior to analyses, all images that could not be identified to species level were discarded (blurred images and photos of non-target species, equating to 17.6% of data). A detection matrix was developed for each species, whereby 42-day sampling periods were divided into six, seven-day temporal replicates. Any camera site active for fewer than seven days was excluded from analysis, leaving 115 analytical units each with 2-6 replicates. The detection matrices denote species presence ('1'), absence ('0') or camera trap malfunction ('NA') during each sampling interval.\n\nDuring deployment, GPS coordinates of the specific site were documented. During the processing of camera trap data we further documented the exact date and time for deployment, collection or failure in the event of malfunction. These data were used to provide an indication of sampling effort.","locations":["POLYGON((117.42 4.583, 117.42 4.774, 117.718 4.774, 117.718 4.583, 117.42 4.583))"],"metadataDate":"2026-09-15T08:46:01.000Z","orcid":["0000-0003-1299-2126","0000-0002-8387-5739","0000-0002-6775-3141","0000-0001-8258-3534","0000-0003-0767-1467","0000-0003-2058-8502"],"organisation":["University of Kent","University of Melbourne","Universiti Malaysia Sabah","Newcastle University","South East Asia Rainforest Research Partnership (SEARRP)","Institute of Zoology, Zoological Society of London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/62774180-ae72-4873-9482-e8be3935f533","10.5285/62774180-ae72-4873-9482-e8be3935f533","doi:10.5285/62774180-ae72-4873-9482-e8be3935f533"],"resourceType":"Dataset","rightsHolder":["University of Kent"],"ror":["https://ror.org/00xkeyj56","https://ror.org/01ej9dk98","https://ror.org/040v70252","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains stacked detection matrices for 28 recorded mammal species across 115 sampling locations at the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo.  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This NERC-funded knowledge exchange project, a research package within the China-UK Critical Zone programme in China was undertaken to understand the existing knowledge management dynamics across the environment-policy interface in China, with the aim to facilitate the efficient uptake of scientific findings about Critical Zone research in China and to inform better evidence-based policy-making.\n \nTo achieve this, data was collected from literature review and social science surveys during 2016-2018. The literature data provided insights about what knowledge was exchanged in China, why and how was this undertaken. The social surveys were conducted to a range of groups including environmental scientists in China and the UK (which are presented in this category). This data illustrates the different knowledge management experience of scientists from both countries\n","documentType":"GEMINI_DOCUMENT","familyName":["Zheng"],"fullName":["Zheng, Y."],"funder":["Natural Environment Research Council"],"givenName":["Y."],"identifier":"788e0da2-fcd4-491c-9932-0aa649dd5bcc","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T06:54:40.000Z","organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/788e0da2-fcd4-491c-9932-0aa649dd5bcc"],"resourceType":"Aggregation","ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"Global to local environmental policy-making is increasingly evidenced-based. Knowledge exchange (KE) is increasingly used by environmental scientists and policymakers, to deliver evidence-based policy and practice. This NERC-funded knowledge exchange project, a research…","state":"published","title":"Knowledge management across the environment-policy interface in China","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of landscape point feature information for points across Great Britain, surveyed in 1998. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated plant species where relevant, within a set of 569 1km squares across Great Britain, surveyed during the Countryside Survey long term monitoring project (note: not all surveyed squares contained point features). The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to point features, habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"identifier":"ed10944f-40c8-4913-b3f5-13c8e844e153","incomingCitationCount":1,"keyword":[" Great Britain","Countryside Survey","Environmental survey","trees ","ponds ","buildings"],"keywordsOther":["trees ","ponds ","buildings"],"keywordsPlace":[" Great Britain"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1998 by professional surveyors (a few sites were surveyed in 1999). Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. The points and information were digitized in 1999/2000. Data are managed by the Centre for Ecology & Hydrology, Lancaster.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:53:16.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ed10944f-40c8-4913-b3f5-13c8e844e153","10.5285/ed10944f-40c8-4913-b3f5-13c8e844e153","doi:10.5285/ed10944f-40c8-4913-b3f5-13c8e844e153"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of landscape point feature information for points across Great Britain, surveyed in 1998. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated plant species…","state":"published","temporalExtentText":"Data collected from 1998 to 1999","title":"Landscape point feature data 1998 [Countryside Survey]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Robinson"],"authorFullName":["Robinson, S.J."],"authorGivenName":["S. J. "],"authorOrcid":["0000-0002-7365-8423"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The database of chemical composition of Central Asian forage plants contains just under 1000 desert and steppe species with information such as Latin and Russian names and family and related records of chemical composition from various sources including percentages by weight of protein, ash, cellulose and fat. Where available, it also includes data on digestible protein content, metabolisable energy and Soviet Feed Units (SFU). Records also include information on the country, location, season or month and phenological phase at time of collection of each sample.  As one of the original uses of the database was for modelling food and energy intake by the saiga antelope, it also includes information identifying saiga food plant species along with sources of this information. Data on the edibility of many species for livestock in different seasons are also available. See the detailed documentation available here for more information on the data types, definitions and sources.\n\nNB The database is in text format and must be imported e.g. into relational database software, as Unicode (UTF-8) in order to convert the Cyrillic characters in Russian names.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson"],"fullName":["Robinson, S.J.","Robinson, S."],"givenName":["S. J. ","Sarah"],"identifier":"6a5a9a2a-730b-49f7-9e42-2295040aee56","incomingCitationCount":0,"keyword":["Kazakhstan","Central Asia","forage"],"keywordsOther":["forage"],"keywordsPlace":["Kazakhstan","Central Asia"],"licence":"Open government licence","lineage":"The data come from a number of Soviet era sources listing thousands of records of plant chemical composition, and from an additional number of secondary or field sources compiled since 1991. All sources are listed in the database, which holds only a fraction of the total information available.   \nSee documentation for more details.","locations":["POLYGON((45 35, 45 56, 90 56, 90 35, 45 35))"],"metadataDate":"2026-09-15T08:46:18.000Z","orcid":["0000-0002-7365-8423"],"organisation":["University of Oxford","Oxford University, visiting researcher","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6a5a9a2a-730b-49f7-9e42-2295040aee56","10.5285/6a5a9a2a-730b-49f7-9e42-2295040aee56","doi:10.5285/6a5a9a2a-730b-49f7-9e42-2295040aee56"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"The database of chemical composition of Central Asian forage plants contains just under 1000 desert and steppe species with information such as Latin and Russian names and family and related records of chemical composition from various sources including percentages…","state":"published","title":"Chemical composition of Central Asian forage plants","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh"],"authorFamilyName":["Evans","Heard","Vanbergen","Cavers","Ennos"],"authorFullName":["Evans, T.M.","Heard, M.S.","Vanbergen, A.J.","Cavers, S.","Ennos, R."],"authorGivenName":["T.M.","M.S.","A.J.","S.","R."],"authorOrcid":["0000-0002-0177-6631","0000-0001-8320-5535","0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset details the number of seeds produced by pollinator exposed and supplemented Eschscholzia californica plants introduced to habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Experimental arrays were introduced across the study site. Arrays comprised of three E.californica plants separated by 1m and arranged in a triangular formation. A total of sixteen arrays were introduced across four 100ha replicate blocks, each separated by >500m. At the centre of each block, four experimental arrays were placed at 50m intervals along a 150m transect laid symmetrically across the boundary between an established wildflower patch and bare, fallow ground or grazed grassland (two arrays within the florally rich habitat and two arrays within the florally poor habitat). After 16 days plants were collected in and one flower from each plant was supplemented with outcrossed pollen. Upon fruit maturation the mean number of seeds counted from pollinator exposed fruit were then compared to the number of seeds from supplemented fruit to determine the degree of pollen limitation in relation to habitat context. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants.","documentType":"GEMINI_DOCUMENT","familyName":["Evans","Heard","Vanbergen","Cavers","Ennos"],"fullName":["Evans, T.M.","Heard, M.S.","Vanbergen, A.J.","Cavers, S.","Ennos, R.","Evans, T."],"givenName":["T.M.","M.S.","A.J.","S.","R.","Tracie"],"identifier":"8caf2d8a-564d-4f2e-a797-174165a83796","incomingCitationCount":0,"keyword":["Buckinghamshire","Hillesden","Eschscholzia californica","Californian poppy"],"keywordsOther":["Eschscholzia californica","Californian poppy"],"keywordsPlace":["Buckinghamshire","Hillesden"],"licence":"Open government licence","lineage":"All open flowers were removed from the 48 E. californica plants prior to their placement in pre-marked locations across the landscape. Plants remained in the field for 16 days to ensure full anthesis of new flowers and to allow for multiple pollination events. After this period, we supplemented a flower from each of the 48 plants with outcrossed pollen. This involved methodically wiping four dehiscing anthers from a donor plant onto the receptive stigma of a pollinator exposed plant with dissecting tweezers. All fruit were then tagged and supplemented flowers were covered with fine muslin to protect against accidental windborne transfer of pollen from the glasshouse air-conditioning system. Plants were then collected and stored under controlled glasshouse conditions until fruit maturation. Upon maturation, tagged fruit were collected and the number of filled seeds per fruit were counted to quantify seed set per fruit. The degree of pollen limitation was expressed as a ratio between the mean seed set (field exposed plants) and the potential seed set (supplemented) in each of the 48 field exposed plants.","locations":["POLYGON((-1.03 51.936, -1.03 51.979, -0.965 51.979, -0.965 51.936, -1.03 51.936))"],"metadataDate":"2026-09-15T08:42:59.000Z","orcid":["0000-0002-0177-6631","0000-0001-8320-5535","0000-0003-2139-9236"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8caf2d8a-564d-4f2e-a797-174165a83796","10.5285/8caf2d8a-564d-4f2e-a797-174165a83796","doi:10.5285/8caf2d8a-564d-4f2e-a797-174165a83796"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset details the number of seeds produced by pollinator exposed and supplemented Eschscholzia californica plants introduced to habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Experimental…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"The seed set of supplemented and pollinator exposed flowers from Eschscholzia californica plants located within habitats comprising different floral cover","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh","Scotland’s Rural College (SRUC)"],"authorFamilyName":["Pickard","Skiba","Carvalho","Heal","Rees","Harley"],"authorFullName":["Pickard, A.E.","Skiba, U.M.","Carvalho, L.","Heal, K.V.","Rees, R.M.","Harley, J.F."],"authorGivenName":["A.E.","U.M.","L.","K.V.","R.M.","J.F."],"authorOrcid":["0000-0003-1069-3720","0000-0001-8659-6092","0000-0002-9768-9902","0000-0002-1019-748X","0000-0003-1348-8693"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/044e2ja82"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains concentrations of dissolved organic carbon, dissolved inorganic carbon, nutrients and concentrations of greenhouse gases CO2, CH4 and N2O from nine sites across the River Tay catchment. Water was sampled on a monthly basis between February 2009 and December 2010. The locations of sampling sites were based on existing flow gauging and water sampling sites of the Scottish Environment Protection Agency (SEPA).","documentType":"GEMINI_DOCUMENT","familyName":["Pickard","Skiba","Carvalho","Heal","Rees","Harley"],"fullName":["Pickard, A.E.","Skiba, U.M.","Carvalho, L.","Heal, K.V.","Rees, R.M.","Harley, J.F."],"givenName":["A.E.","U.M.","L.","K.V.","R.M.","J.F."],"identifier":"a61da7da-b7ef-40b7-a324-c3711ef81207","incomingCitationCount":0,"keyword":["Scotland","River Tay","Hydrology","Climate and climate change","Nitrous oxide","dissolved organic carbon","dissolved inorganic carbon","carbon dioxide","methane"],"keywordsOther":["Nitrous oxide","dissolved organic carbon","dissolved inorganic carbon","carbon dioxide","methane"],"keywordsPlace":["Scotland","River Tay"],"keywordsTheme":["Hydrology","Climate and climate change"],"licence":"Open government licence","lineage":"These data were collected as part of a PhD project funded by the CEH Integrating fund. Water and headspace samples were collected from nine sites within the Tay catchment on a monthly basis between 2009 and 2010 by James Harley. Sample analysis was undertaken at CEH Edinburgh, again by James Harley. A detailed description of sample collection methods and analytical measurements can be found in the supporting information document supplied with the data.","locations":["POLYGON((-4.675 56.256, -4.675 57.078, -3.126 57.078, -3.126 56.256, -4.675 56.256))"],"metadataDate":"2026-11-05T13:31:32.000Z","orcid":["0000-0003-1069-3720","0000-0001-8659-6092","0000-0002-9768-9902","0000-0002-1019-748X","0000-0003-1348-8693"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","Scotland’s Rural College (SRUC)","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a61da7da-b7ef-40b7-a324-c3711ef81207","10.5285/a61da7da-b7ef-40b7-a324-c3711ef81207","doi:10.5285/a61da7da-b7ef-40b7-a324-c3711ef81207"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/044e2ja82","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains concentrations of dissolved organic carbon, dissolved inorganic carbon, nutrients and concentrations of greenhouse gases CO2, CH4 and N2O from nine sites across the River Tay catchment. Water was sampled on a monthly basis between February 2009…","state":"published","temporalExtentText":"Data collected from 2009 to 2010","title":"River Tay, Scotland, water chemistry and greenhouse gas measurements 2009-2010","topic":["0/Hydrology/","0/Climate and climate change/"],"version":1.0,"view":["public","dcmo"]},{"authorAffiliation":["University of Sheffield"],"authorFamilyName":["Phoenix","Johnson","Muddimer","Leake","Cameron"],"authorFullName":["Phoenix, G.K.","Johnson, D.A.","Muddimer, S.P.","Leake, J.R.","Cameron, D.D."],"authorGivenName":["G.K.","D.A. ","S.P.","J.R.","D.D."],"authorOrcid":["0000-0002-0911-8107","0000-0001-8364-7616","0000-0002-5439-6544"],"authorRor":["https://ror.org/05krs5044"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots.  P uptake is from one of three different sources of P that were injected into the soil, with the P sources being labelled with radio-isotope 33P, such that uptake of this could be quantified by assessing the radioactivity of the plant tissue.  The plant species were grown in pots as monocultures, and as mixed communities containing all seven species.  The 33P labelled P sources that were injected into the soil were orthophosphate, DNA and calcium phosphate.  Assessment of the amount of 33P taken up was undertaken by harvesting and analysing plant shoots six days after the 33P source was injected into the soil.  The datasets contain biomass of the harvested plant material, its radioactivity as assessed by scintillation counting, and the calculated proportion of the 33P supplied that was taken up into plant shoots.\n\nThe data also contains % cover abundance values of the plant species from surveys undertaken at Wardlow Hay Cop, the limestone grassland from where the soil was sourced on which the plants were grown for the 33P addition study.","documentType":"GEMINI_DOCUMENT","familyName":["Phoenix","Johnson","Muddimer","Leake","Cameron"],"fullName":["Phoenix, G.K.","Johnson, D.A.","Muddimer, S.P.","Leake, J.R.","Cameron, D.D.","Phoenix, G."],"funder":["Natural Environment Research Council"],"givenName":["G.K.","D.A. ","S.P.","J.R.","D.D.","Gareth"],"identifier":"87cdc267-a8c7-4f59-83b4-1bceaae837ad","incomingCitationCount":0,"keyword":["Biodiversity","Soil","phosphorus","Phosphorus-33"],"keywordsOther":["phosphorus","Phosphorus-33"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"The work was undertaken in experimental greenhouses at the University of Sheffield, U.K.  Each combination of plant species monoculture and type of P source injected was replicated 7 times.  The plant cover survey data was taken in 2011, and consists of 30 quadrats, each 50cm x 50cm.  Wardlow Hay Cop from where the limestone grassland survey was taken is located at 53°15'41\"N, 1°43'56\"W.","locations":["POLYGON((-1.663 53.309, -1.663 53.446, -1.286 53.446, -1.286 53.309, -1.663 53.309))"],"metadataDate":"2026-11-05T13:30:42.000Z","orcid":["0000-0002-0911-8107","0000-0001-8364-7616","0000-0002-5439-6544"],"organisation":["University of Sheffield","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/87cdc267-a8c7-4f59-83b4-1bceaae837ad","10.5285/87cdc267-a8c7-4f59-83b4-1bceaae837ad","doi:10.5285/87cdc267-a8c7-4f59-83b4-1bceaae837ad"],"resourceType":"Dataset","ror":["https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots.  P uptake is from one of three different sources of P that were injected into the soil, with the P sources…","state":"published","temporalExtentText":"Data collected from 2010 to 2011","title":"Phosphorus-33 uptake by seven grassland plant species from three contrasting soil phosphorus chemical forms","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Liverpool","Centre for Ecology & Hydrology"],"authorFamilyName":["Dunn","Wanless","Green","Harris","Daunt"],"authorFullName":["Dunn, R.E.","Wanless, S.","Green, J.A.","Harris, M.P.","Daunt, F."],"authorGivenName":["R.E.","S.","J.A.","M.P.","F."],"authorOrcid":["0000-0003-0927-2734","0000-0002-2788-4606","0000-0002-0200-2187","0000-0003-4638-3388"],"authorRor":["https://ror.org/04xs57h96","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the dive times (dive start time and dive end time) and depths (maximum depth attained on a dive) of three species of auk from the Isle of May outside the seabird breeding season. \n\nData were collected from 12 Atlantic puffin individuals (Fratercula arctica), 13 common guillemot (Uria aalge) and 13 razorbill (Alca torda). \nAtlantic puffin data were collected between 19th July 2008 to 3rd December 2008; common guillemot data from 20th July 2005 to 28th January 2006; razorbill data from 1st July 2008 to 24th January 2009. ","documentType":"GEMINI_DOCUMENT","familyName":["Dunn","Wanless","Green","Harris","Daunt"],"fullName":["Dunn, R.E.","Wanless, S.","Green, J.A.","Harris, M.P.","Daunt, F.","Dunn, R."],"funder":["Natural Environment Research Council"],"givenName":["R.E.","S.","J.A.","M.P.","F.","Ruth"],"grant":["NE/L003082/1"],"identifier":"6ab0ee70-96f8-41e6-a3e3-6f4c31fa5372","incomingCitationCount":0,"keyword":["Animal behaviour","Fratercula arctica","Uria aalge","Alca torda"],"keywordsOther":["Fratercula arctica","Uria aalge","Alca torda"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Data have been collected by Centre for Ecology & Hydrology (CEH) staff on the May National Nature Reserve, Scotland (56°11′N, 02°33′W) using standardised methods since 1987, and this work has continued to the present as part of the Isle of May Long-term Study (IMLOTS; https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study).\n\nAs part of this long-term study, data on seabird diving outside the breeding season was collected as part of a biologging project part-funded by the Royal Society for the Prevention of Cruelty to Animals. Data were collected using time-depth recorders during July – December 2008 for Atlantic puffins and razorbills and 2005 for common guillemots. The full methodology is available in the Supporting Information document attached to this record.","locations":["POLYGON((-2.584 56.175, -2.584 56.199, -2.527 56.199, -2.527 56.175, -2.584 56.175))"],"metadataDate":"2026-11-05T14:39:38.000Z","orcid":["0000-0003-0927-2734","0000-0002-2788-4606","0000-0002-0200-2187","0000-0003-4638-3388"],"organisation":["University of Liverpool","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-06-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6ab0ee70-96f8-41e6-a3e3-6f4c31fa5372","10.5285/6ab0ee70-96f8-41e6-a3e3-6f4c31fa5372","doi:10.5285/6ab0ee70-96f8-41e6-a3e3-6f4c31fa5372"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xs57h96","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the dive times (dive start time and dive end time) and depths (maximum depth attained on a dive) of three species of auk from the Isle of May outside the seabird breeding season. \n\nData were collected from 12 Atlantic puffin individuals (Fratercula…","state":"published","temporalExtentText":"Data collected from 2005 to 2009","title":"Dive times and depths of auks (Atlantic puffin, common guillemot and razorbill) from the Isle of May outside the seabird breeding season","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["IHU Catchments"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Kral","Fry","Dixon"],"authorFullName":["Kral, F.","Fry, M.","Dixon, H."],"authorGivenName":["F.","M.","H."],"authorOrcid":["0000-0003-1142-4039","0000-0002-7415-063X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. This dataset was derived from the Integrated Hydrological Terrain Model. A Catchment represents the full area upstream from a Section outlet, which is a cell upstream of a confluence of two watercourses with known names. While Sections do not overlap, Catchments can overlap because one Catchment contains Catchments for all upstream Sections. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.","documentType":"GEMINI_DOCUMENT","familyName":["Kral","Fry","Dixon"],"fullName":["Kral, F.","Fry, M.","Dixon, H."],"givenName":["F.","M.","H.","Matt"],"identifier":"10d419c8-8f65-4b85-a78a-3d6e0485fa1f","incomingCitationCount":0,"keyword":["United Kingdom","Great Britain","England","Wales","Scotland","Hydrology","catchment","watershed","hydrology"],"keywordsOther":["catchment","watershed","hydrology"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The main inputs for development of Integrated Hydrological Units (IHU) of the UK were data held by the Centre for Ecology & Hydrology. Specifically, the cumulative catchment area raster and outflow raster from the Integrated Hydrological Digital Terrain Model (IHDTM) [1]. The vast majority of the watercourse names come from the subset of CEH UK river centreline network enriched by names from Ordnance Survey 1:50K Gazetteer [2]. Some names were obtained from or verified using other readily available sources like OpenStreetMap (openstreetmap.org) and WikiPedia (wikipedia.org). Bespoke FORTRAN functions, part of the CEH Flood Estimation Handbook code set, were used for catchment delineation. These functions enable sensible interlocking catchments boundaries to be created for the whole IHDTM surface. The option that does not leave gaps between catchments was specified [1]. Except for the catchment delineation, ArcGIS was used as the main GIS platform. Custom Python code was developed to drive the whole process and to perform hierarchical and network tasks. The full name of each IHU Section was derived from three rivers defining the section: the largest (in terms of cumulative catchment area) inflowing river other than the main river in the Section, the main river in the Section, and the largest river flowing into the downstream Section. If no such inflows exist, words'Source', 'Sea', or the name of the main river in the downstream Section are used as appropriate. A similar approach was adopted for IHU Group names, although group names were edited manually to a great extent to ensure they are simple and readily understood.\n\n[1] Morris, D.G. and Flavin, R.W. 1990. A Digital Terrain Model for Hydrology. Proc 4th Int. Symposium on Spatial Data Handling. Zurich, 1, 250-262.\n[2] Moore R V, Morris D G and Flavin R W, 1994. Sub-set of UK digital 1:50,000 scale river centreline network. NERC, Institute of Hydrology, Wallingford.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:07:23.000Z","orcid":["0000-0003-1142-4039","0000-0002-7415-063X"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1425380855141","CEH:EIDC::1425380855141","https://catalogue.ceh.ac.uk/id/10d419c8-8f65-4b85-a78a-3d6e0485fa1f","10.5285/10d419c8-8f65-4b85-a78a-3d6e0485fa1f","doi:10.5285/10d419c8-8f65-4b85-a78a-3d6e0485fa1f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. This dataset was derived from the Integrated Hydrological Terrain…","state":"published","supplementalDescription":["National River Flow Archive website providing access to river flow data downloads as well as contact information for the NRFA enquirers service which provides other datasets and monthly, annual and occasional reports on river flow conditions."],"supplementalName":["National River Flow Archive website"],"temporalExtentText":"Data collection started in 2014","title":"Integrated Hydrological Units of the United Kingdom: Catchments","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sharps","Bisht","Feeney","Thomas","May"],"authorFullName":["Sharps, K.","Bisht, T.","Feeney, C.","Thomas, A.","May, L."],"authorGivenName":["Katrina","Tarun","Christopher","Amy","Linda"],"authorOrcid":["0000-0003-3265-1505","0000-0003-4963-6547","0000-0003-2175-1842","0000-0002-4929-7285","0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset presents modelled predictions (spanning 2000-2022) for several important ecosystem services in the Lake Victoria basin in eastern Africa. The catchment includes areas of Kenya, Tanzania, Uganda, Rwanda, and Burundi (196,883 sq. km, excluding Lake Victoria itself). The dataset variables include carbon storage across multiple land pools, erosion avoided by the presence of vegetation cover, nitrogen and phosphorus retention by the landscape, annual baseflow (subsurface contribution to river flow) and annual quickflow (surface runoff). These data were generated by UKCEH scientists using the Integrated Valuation of Ecosystem Services & Trade-offs (InVEST) platform of GIS models. The purpose of this dataset is to allow users to investigate how these ecosystems services vary spatially across the landscape and also how they may change over time. Users can also investigate where synergies and trade offs among different ecosystem services occur, which can help inform management decisions such as where to best target the planting of new trees for maximum environmental benefit.\n\nThe dataset comes in the form of 30, single-band geotiff raster files. For each of the six modelled variables, there five files (one file per year: 2000, 2005, 2010, 2015 and 2022), at 90 x 90 metre spatial resolution, using the ESRI:102022 - Albers for Africa equal area projection.","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Bisht","Feeney","Thomas","May"],"fullName":["Sharps, K.","Bisht, T.","Feeney, C.","Thomas, A.","May, L."],"funder":["Natural Environment Research Council"],"givenName":["Katrina","Tarun","Christopher","Amy","Linda","C."],"grant":["NE/X006247/1"],"identifier":"c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54","incomingCitationCount":0,"keyword":["Ecosystem services","Modelling","Soil","Land use","Hydrology","carbon stock","ecosystem services","lake basin","nitrogen","phosphorus","runoff","soil erosion","InVEST"],"keywordsOther":["carbon stock","ecosystem services","lake basin","nitrogen","phosphorus","runoff","soil erosion","InVEST"],"keywordsTheme":["Ecosystem services","Modelling","Soil","Land use","Hydrology"],"licence":"Open government licence","lineage":"Models from the Integrated Valuation of Ecosystem Services & Trade-offs (InVEST) platform were used to simulate the spatial distribution of ecosystem service provision across Lake Victoria’s full catchment area. Models used were:\nCarbon Storage and Sequestration (CSS) model to calculate total carbon storage on land\nSediment Delivery Ratio (SDR) model to calculate avoided soil erosion as a result of land cover and management\nNutrient Delivery Ratio (NDR) model to calculate rates of nitrogen and phosphorus retention on the land surface\nSeasonal Water Yield (SWY) model to calculate baseflow (slower moving subsurface water flows) and quickflow (faster moving surface runoff flows)\n\nModel input data consisted of information on soils, geomorphology, climate, vegetative coverage and management practices. This included using large-scale third-party spatial datasets (for example, land cover data, precipitation, potential evapotranspiration, digital soil maps and digital elevation model data (DEM). Each model also requires a biophysical inputs table with land-cover specific values. Values were derived from spatially explicit global datasets, FAOSTAT (for crop production and crop nutrient balance) and published literature for the study area.\n\nThe units for each variable in the dataset are described in the Supporting Documentation.\n\nQuality control checks were carried out on the dataset variables prior to submission. Model outputs for sediment and nutrient loads were compared with observational data from several Lake Victoria sub-catchments (for the years 2000 and 2005) and shown to be reasonably accurate. Most predicted N, P and sediment loads from rivers in the Lake Victoria catchment were found to lie close to the 1:1 line. No independent data on carbon storage could be found to compare the CCS model outputs against; however, a comparison against independent applications of the InVEST carbon model to countries around Lake Victoria reveals that there does seem to at least be agreement that total carbon stocks have declined since 2000 (although the level of decline varies between studies). The SWY model outputs were evaluated by comparing them with independent hydrological modelling data for selected sub-catchments in the region, with results suggesting that the model captures the seasonal dynamics of flow reasonably well across different sub-catchments.\n\nTo keep file sizes to a minimum, a conversion factor has been applied to each raster layer, allowing storage as integer rasters, which are much smaller than floating point formats. See the Supporting Documentation for more details on the conversion factors the user should divide the raster layers by to get the “true” values in the proper units listed above. All rasters were harmonised to exactly the same spatial extents as the DEM layer used to drive most of the modelling to allow for direct comparison with one another. ","locations":["POLYGON((29.421 -3.842, 29.421 1.28, 35.89 1.28, 35.89 -3.842, 29.421 -3.842))"],"metadataDate":"2026-11-05T13:27:43.000Z","orcid":["0000-0003-3265-1505","0000-0003-4963-6547","0000-0003-2175-1842","0000-0002-4929-7285","0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54","10.5285/c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54","doi:10.5285/c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents modelled predictions (spanning 2000-2022) for several important ecosystem services in the Lake Victoria basin in eastern Africa. The catchment includes areas of Kenya, Tanzania, Uganda, Rwanda, and Burundi (196,883 sq. km, excluding Lake Victoria…","state":"published","supplementalName":["InVEST software models"],"temporalExtentText":"Data collected from 2000 to 2022","title":"Ensemble of land and freshwater ecosystem services mapped for Lake Victoria’s catchment area, 2000-2022","topic":["0/Ecosystem services/","0/Modelling/","0/Soil/","0/Land use/","0/Hydrology/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Plymouth Marine Laboratory","ICF International Inc","Natural England"],"authorFamilyName":["Edwards-Jones","Hattam","Hooper","Beaumont"],"authorFullName":["Edwards-Jones, A.","Hattam, C.","Hooper, T.","Beaumont, N."],"authorGivenName":["A.","C.","T.","N."],"authorOrcid":["0000-0001-5691-8687","0000-0002-5976-9661"],"authorRor":["https://ror.org/05av9mn02","https://ror.org/05r1dd276","https://ror.org/00r66pz14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Results of a survey undertaken in 2018 involving a range of open and closed questions intended to elicit local residents’ values they attach to the importance of coastal attributes and their perceptions of various tidal and wave energy development characteristics. Three case study sites were selected: Weston-super-Mare, Minehead, and the Taw-Torridge Estuary, South-West UK.","documentType":"GEMINI_DOCUMENT","familyName":["Edwards-Jones","Hattam","Hooper","Beaumont"],"fullName":["Edwards-Jones, A.","Hattam, C.","Hooper, T.","Beaumont, N."],"funder":["Natural Environment Research Council"],"givenName":["A.","C.","T.","N."],"grant":["NE/M019713/1"],"identifier":"e5190fd0-2995-42aa-aca0-80714abde768","incomingCitationCount":0,"keyword":["Marine energy","environmental impact","community mapping","Bristol Channel","UK"],"keywordsOther":["Marine energy","environmental impact","community mapping","Bristol Channel","UK"],"licence":"Open government licence","lineage":"The survey was undertaken by a survey company commissioned by Plymouth Marine Laboratory (PML). The company obtained data through door-to-door surveys, inputting responses straight into custom-designed survey templates on a hand-held tablet platform. Data were subsequently collated in a password-protected excel spreadsheet and forwarded to the PML research team liaison point.","locations":["POLYGON((-5.101 50.427, -5.101 51.671, -2.407 51.671, -2.407 50.427, -5.101 50.427))"],"metadataDate":"2026-11-05T13:32:37.000Z","orcid":["0000-0001-5691-8687","0000-0002-5976-9661"],"organisation":["Plymouth Marine Laboratory","ICF International Inc","Natural England","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e5190fd0-2995-42aa-aca0-80714abde768","10.5285/e5190fd0-2995-42aa-aca0-80714abde768","doi:10.5285/e5190fd0-2995-42aa-aca0-80714abde768"],"resourceType":"Dataset","rightsHolder":["Plymouth Marine Laboratory"],"ror":["https://ror.org/05av9mn02","https://ror.org/05r1dd276","https://ror.org/00r66pz14","https://ror.org/04xw4m193"],"shortenedDescription":"Results of a survey undertaken in 2018 involving a range of open and closed questions intended to elicit local residents’ values they attach to the importance of coastal attributes and their perceptions of various tidal and wave energy development characteristics. Three…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Public perceptions of tidal energy - survey data collected in 2018 from residents living in Weston-super-Mare, Minehead and the Taw-Torridge estuary, SW England","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation","Hidden Tracks","NEMO Ltd","University of Jena","University of Opole","Center for the Future","Czech University of Life Sciences Prague","Wild Katz","Alka Wildlife","Unaffiliated","Sapienza University of Rome","Michał Sierakowski Badania Przyrodnicze"],"authorFamilyName":["Broughton","Beier","Bullock","Gregory","Spence","Argow","Dell’Agnello","Halle","Hebda","Heczko","Kumble","Mölich","Poledníková","Poledník","Rychlak","Santini","Sierakowski"],"authorFullName":["Broughton, R.K.","Beier, P.","Bullock, J.M.","Gregory, A.J.","Spence, E.S.","Argow, S.","Dell’Agnello, F.","Halle, S.","Hebda, G.","Heczko, T.","Kumble, P.","Mölich, T.","Poledníková, K.","Poledník, L.","Rychlak, Y.","Santini, L.","Sierakowski, M."],"authorGivenName":["R.K.","P.","J.M.","A.J.","E.S.","S.","F.","G.","T.","K.","L.","Y.","M."],"authorOrcid":["0000-0002-6838-9628","0000-0002-4297-4343","0000-0003-0529-4020","0000-0003-1905-3236","0000-0003-1595-0167","0000-0002-8668-1809","0000-0002-5418-3688"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02bv7qz69","https://ror.org/04gbpnx96","https://ror.org/0415vcw02","https://ror.org/05mcj1v39","https://ror.org/02be6w209"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Czechia, Germany, Italy and Poland in 2019-2023.  The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement.","documentType":"GEMINI_DOCUMENT","familyName":["Broughton","Beier","Bullock","Gregory","Spence","Argow","Dell’Agnello","Halle","Hebda","Heczko","Kumble","Mölich","Poledníková","Poledník","Rychlak","Santini","Sierakowski"],"fullName":["Broughton, R.K.","Beier, P.","Bullock, J.M.","Gregory, A.J.","Spence, E.S.","Argow, S.","Dell’Agnello, F.","Halle, S.","Hebda, G.","Heczko, T.","Kumble, P.","Mölich, T.","Poledníková, K.","Poledník, L.","Rychlak, Y.","Santini, L.","Sierakowski, M."],"funder":["Natural Environment Research Council","U.S. National Science Foundation (NSF)"],"givenName":["R.K.","P.","J.M.","A.J.","E.S.","S.","F.","G.","T.","K.","L.","Y.","M."],"grant":["NE/T006935/1"],"identifier":"97528815-bd0b-484d-8e68-a1184828631d","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","carnivore","forest","habitat corridors","animal corridor","martens","mustelid","rodent","Sherman traps","woodland ecosystem","woodland"],"keywordsOther":["carnivore","forest","habitat corridors","animal corridor","martens","mustelid","rodent","Sherman traps","woodland ecosystem","woodland"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"Animals were captured during standardized trapping surveys with Sherman traps, Ugglan traps and Tomahawk traps in systematic arrays. Trapping targeted small-medium sized rodents and carnivores. Traps were generally set to catch for 3-5 consecutive trap nights, but this varied. Captured animals were identified to species, marked individually, biometrics were recorded, and tissue samples were collected (generally from the ear, swabbing and also faecal sampling). The animals were then released. Trap and capture data are linked via a primary key field.\nAt each trap check, data from captured animals were recorded in the field on data sheets, and then later computerized by entering into spreadsheets. Data were checked against original field records for quality assurance and validation.\n","locations":["POLYGON((5.908 36.247, 5.908 55.181, 24.453 55.181, 24.453 36.247, 5.908 36.247))"],"metadataDate":"2026-11-05T13:27:16.000Z","orcid":["0000-0002-6838-9628","0000-0002-4297-4343","0000-0003-0529-4020","0000-0003-1905-3236","0000-0003-1595-0167","0000-0002-8668-1809","0000-0002-5418-3688"],"organisation":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation","Hidden Tracks","NEMO Ltd","University of Jena","University of Opole","Center for the Future","Czech University of Life Sciences Prague","Wild Katz","Alka Wildlife","Unaffiliated","Sapienza University of Rome","Michał Sierakowski Badania Przyrodnicze","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/97528815-bd0b-484d-8e68-a1184828631d","10.5285/97528815-bd0b-484d-8e68-a1184828631d","doi:10.5285/97528815-bd0b-484d-8e68-a1184828631d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation"],"ror":["https://ror.org/00pggkr55","https://ror.org/02bv7qz69","https://ror.org/04gbpnx96","https://ror.org/0415vcw02","https://ror.org/05mcj1v39","https://ror.org/02be6w209","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Czechia, Germany, Italy and Poland in 2019-2023.  The trapping data include dates of setting, checking…","state":"published","temporalExtentText":"Data collected from 2019 to 2023","title":"Monitoring data from small mammal trapping in forest habitats in Europe (Czechia, Germany, Italy, Poland), 2019-2023","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Ravinet","Rouse"],"authorFullName":["Ravinet, M.","Rouse, J."],"authorGivenName":["M.","J."],"authorOrcid":["0000-0002-2841-1798","0000-0003-1568-9122"],"availability":"Available","catalogue":"eidc","dataFormat":["STL"],"description":"This dataset comprises MicroCT 3D scans of skulls from Passer sparrows (Passer domesticus, P. hispaniolensis, P. italiae and F1 hybrids) generated during a crossing experiment at the University of Oslo, Norway in 2014/2015.\n\nSkulls were scanned with a microCT scanner at the University of Nottingham in 2023. ","documentType":"GEMINI_DOCUMENT","familyName":["Ravinet","Rouse"],"fullName":["Ravinet, M.","Rouse, J."],"funder":["Natural Environment Research Council"],"givenName":["M.","J."],"grant":["NE/X018083/1"],"identifier":"c75ac806-2968-4bf0-8c72-ed4e0dc2ed7e","incomingCitationCount":0,"keyword":["Biodiversity","Passer hispaniolensis","Passer italiae","Passer domesticus","bird","beak","skull","morphology","craniofacial morphology","sparrow"],"keywordsOther":["Passer hispaniolensis","Passer italiae","Passer domesticus","bird","beak","skull","morphology","craniofacial morphology","sparrow"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Samples were derived from the collection at the Natural History Museum, Oslo, Norway. All samples were scanned with the use of a high-resolution X-ray Waygate Technologies v|tome|x M 240kV CT system at 26μA at the Hounsfield Facility on the Sutton Bonnington Campus of the University of Nottingham, UK. ","metadataDate":"2026-11-05T13:27:47.000Z","orcid":["0000-0002-2841-1798","0000-0003-1568-9122"],"organisation":["University of Nottingham","University of Oslo","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c75ac806-2968-4bf0-8c72-ed4e0dc2ed7e","10.5285/c75ac806-2968-4bf0-8c72-ed4e0dc2ed7e","doi:10.5285/c75ac806-2968-4bf0-8c72-ed4e0dc2ed7e"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises MicroCT 3D scans of skulls from Passer sparrows (Passer domesticus, P. hispaniolensis, P. italiae and F1 hybrids) generated during a crossing experiment at the University of Oslo, Norway in 2014/2015.\n\nSkulls were scanned with a microCT scanner…","state":"published","title":"Micro-computed tomography (micro-CT) 3D scans of skulls of Passer sparrows generated during a crossing experiment","topic":["0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ecological Surveys (Bangor)"],"authorFamilyName":["Bentley","Reinsch","Alison","Brentegani","Chetiu","Dhiedt","Emmett","Fitos","Garbutt","Guyatt","Henrys","Hunt","Keenan","Keith","Lebron","Long","Meek","Millani Lopes Mazzetto","O'Rourke","Pallett","Pereira","Pinder","Risser","Rowe","Scarlett","Seaton","Smart","Wagner","Wallace","Wood","Robinson"],"authorFullName":["Bentley, L.","Reinsch, S.","Alison, J.","Brentegani, M.","Chetiu, N.","Dhiedt, E.","Emmett, B.A.","Fitos, E.","Garbutt, R.A.","Guyatt, H.","Henrys, P.A.","Hunt, A.","Keenan, P.O.","Keith, A.M.","Lebron, I.","Long, C.","Meek, B.","Millani Lopes Mazzetto, J.","O'Rourke, C.","Pallett, D.W.","Pereira, M.G.","Pinder, A.","Risser, H.","Rowe, R.L.","Scarlett, P.","Seaton, F.","Smart, S.M.","Wagner, M.","Wallace, H.","Wood, C.M.","Robinson, D.A."],"authorGivenName":["L.","S.","J.","M.","N.","E.","B.A.","R.A.","H.","P.A.","A.","P.O.","A.M.","I.","C.","B.","D.W.","M.G.","A. ","R.L.","P.","F.","S.M.","C.M.","D.A."],"authorOrcid":["0000-0001-5055-7673","0000-0003-4649-0677","0000-0002-6787-6192","0000-0003-2575-6800","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-9619-1320","0000-0001-8610-9717","0000-0002-2022-7451","0000-0003-2750-7832","0000-0002-0394-2998","0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 48 x 1-km squares across Great Britain in 2020 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration.\n\nThe UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bentley","Reinsch","Alison","Brentegani","Chetiu","Dhiedt","Emmett","Fitos","Garbutt","Guyatt","Henrys","Hunt","Keenan","Keith","Lebron","Long","Meek","Millani Lopes Mazzetto","O'Rourke","Pallett","Pereira","Pinder","Risser","Rowe","Scarlett","Seaton","Smart","Wagner","Wallace","Wood","Robinson"],"fullName":["Bentley, L.","Reinsch, S.","Alison, J.","Brentegani, M.","Chetiu, N.","Dhiedt, E.","Emmett, B.A.","Fitos, E.","Garbutt, R.A.","Guyatt, H.","Henrys, P.A.","Hunt, A.","Keenan, P.O.","Keith, A.M.","Lebron, I.","Long, C.","Meek, B.","Millani Lopes Mazzetto, J.","O'Rourke, C.","Pallett, D.W.","Pereira, M.G.","Pinder, A.","Risser, H.","Rowe, R.L.","Scarlett, P.","Seaton, F.","Smart, S.M.","Wagner, M.","Wallace, H.","Wood, C.M.","Robinson, D.A."],"funder":["Natural Environment Research Council"],"givenName":["L.","S.","J.","M.","N.","E.","B.A.","R.A.","H.","P.A.","A.","P.O.","A.M.","I.","C.","B.","D.W.","M.G.","A. ","R.L.","P.","F.","S.M.","C.M.","D.A."],"grant":["NE/R016429/1"],"identifier":"6a3382cc-f5f4-4d68-9517-c62fadd8af4f","incomingCitationCount":0,"keyword":["Great Britain","UK-SCAPE","Environmental survey","Soil","derived carbon concentration","fine earth volumetric water content","SOC","soil bulk density of fine earth","soil pH","total organic carbon","organic matter","nitrogen","soil","Olsen phosphorus","electrical conductivity"],"keywordsOther":["derived carbon concentration","fine earth volumetric water content","SOC","soil bulk density of fine earth","soil pH","total organic carbon","organic matter","nitrogen","soil","Olsen phosphorus","electrical conductivity"],"keywordsPlace":["Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"Within each of 48 x 1-km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15 cm long, from a location co-incident with vegetation surveys.\n\nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T13:35:05.000Z","orcid":["0000-0001-5055-7673","0000-0003-4649-0677","0000-0002-6787-6192","0000-0003-2575-6800","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-9619-1320","0000-0001-8610-9717","0000-0002-2022-7451","0000-0003-2750-7832","0000-0002-0394-2998","0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","Ecological Surveys (Bangor)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6a3382cc-f5f4-4d68-9517-c62fadd8af4f","10.5285/6a3382cc-f5f4-4d68-9517-c62fadd8af4f","doi:10.5285/6a3382cc-f5f4-4d68-9517-c62fadd8af4f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 48 x 1-km squares across Great Britain in 2020 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2020, v2","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Scholefield","Neal","Rowland","Chaplow","Sleep"],"authorFullName":["Scholefield, P.A.","Neal, C.","Rowland, A.P.","Chaplow, J.S.","Sleep, D."],"authorGivenName":["P.A.","C.","A.P.","J.S.","D."],"authorOrcid":["0000-0003-2974-6431","0000-0002-8058-8697","0000-0002-2642-6240"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Water quality data from 26 Ribble and Wyre river basin sites in north west England. Samples were analysed for major solutes, pH, Gran alkalinity, trace metals, mercury and chlorophyll.","documentType":"GEMINI_DOCUMENT","familyName":["Scholefield","Neal","Rowland","Chaplow","Sleep"],"fullName":["Scholefield, P.A.","Neal, C.","Rowland, A.P.","Chaplow, J.S.","Sleep, D.","Scholefield, P."],"givenName":["P.A.","C.","A.P.","J.S.","D.","Paul"],"identifier":"b4b44b04-bfd0-40ca-b60a-681018eb78ce","incomingCitationCount":0,"keyword":["Ribble","Wyre","Ribble estuary","Burnley","Blackburn","Preston","South Blackpool","Pennines","Water quality","analytical chemistry","catchment","freshwater"],"keywordsOther":["analytical chemistry","catchment","freshwater"],"keywordsPlace":["Ribble","Wyre","Ribble estuary","Burnley","Blackburn","Preston","South Blackpool","Pennines"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Water samples were collected from bridges using a weighted polypropylene sampler. In the field, water temperature was directly recorded at the times of sampling and notes taken on weather, field conditions and water height. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:55:00.000Z","orcid":["0000-0003-2974-6431","0000-0002-8058-8697","0000-0002-2642-6240"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b4b44b04-bfd0-40ca-b60a-681018eb78ce","10.5285/b4b44b04-bfd0-40ca-b60a-681018eb78ce","doi:10.5285/b4b44b04-bfd0-40ca-b60a-681018eb78ce"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Water quality data from 26 Ribble and Wyre river basin sites in north west England. Samples were analysed for major solutes, pH, Gran alkalinity, trace metals, mercury and chlorophyll.","state":"published","supplementalDescription":["Neal, C., Bowes, M., Jarvie, H. P., Scholefield, P., Leeks, G., Neal, M., ...Davies, C. E. (2012). Lowland river water quality: a new UK data resource for process and environmental management analysis. Hydrological Processes, 26(6), 949-960.","Neal, C., Rowland, P., Scholefield, P., Vincent, C., Woods, C., & Sleep, D. (2011). The Ribble/Wyre observatory: Major, minor and trace elements in rivers draining from rural headwaters to the heartlands of the NW England historic industrial base. Science of The Total Environment, 409(8), 1516-1529"],"temporalExtentText":"Data collected from 2008 to 2010","title":"Water quality data from the Ribble and Wyre catchments 2008-2010","topic":["0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Dugdale","Field","Johnson","Mariani","Pugh","Schrodt","Thorne"],"authorFullName":["Dugdale, S.J.","Field, R.","Johnson, M.","Mariani, M.","Pugh, B.","Schrodt, F.","Thorne, C."],"authorGivenName":["S.J.","R.","M.","B.","F.","C."],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following the Holiday Farm wildfire in 2020.\n\nRaw satellite imagery acquired in June 2020 and June 2021 was processed to calculate Normalised Burn Ratio (NBR), giving pre- and post-fire burn severity information. Data consist of 10 m .TIF raster imagery where a digital number gives a measure of burn severity; high NBR values indicate healthy vegetation, whereas lower values indicate burnt areas or bare ground.\n\nThe study was conducted by the University of Nottingham, in partnership with the US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","familyName":["Dugdale","Field","Johnson","Mariani","Pugh","Schrodt","Thorne"],"fullName":["Dugdale, S.J.","Field, R.","Johnson, M.","Mariani, M.","Pugh, B.","Schrodt, F.","Thorne, C."],"givenName":["S.J.","R.","M.","B.","F.","C."],"identifier":"8162887a-5481-440f-a7f2-427eee793efd","incomingCitationCount":0,"keyword":["Burn severity","Normalised burn ratio","Sentinel-2","South fork mckenzie","Stage zero","Wildfire","fire","river","restoration"],"keywordsOther":["Burn severity","Normalised burn ratio","Sentinel-2","South fork mckenzie","Stage zero","Wildfire","fire","river","restoration"],"licence":"Open government licence","lineage":"20 m bands of Two Sentinel-2A images of study site (pre/post-fire; June 2020 and 2021) were super-resolved to 10m following Lanaras et al (2018)\n\nThese data were subsequently used to generate raster files depicting 10m resolution Normalised Burn Ratio (NBR) across South Fork McKenzie River, where NBR = (Sentinel Band B08 - B12) / (B08 + B12), following the methodology outlined in Keeley (2009).  Subtraction of postfire from prefire NBR rasters facilitates estimation of burn severity by highlighting vegetation burn in relation to pre-burnt state.\n\nLanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018). Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 305-319 https://doi.org/10.1016/j.isprsjprs.2018.09.018\n\nKeeley, J.E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126. https://doi.org/10.1071/WF07049\n\n","locations":["POLYGON((-122.29 44.13, -122.29 44.16, -122.23 44.16, -122.23 44.13, -122.29 44.13))"],"metadataDate":"2026-11-05T14:33:15.000Z","organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8162887a-5481-440f-a7f2-427eee793efd","10.5285/8162887a-5481-440f-a7f2-427eee793efd","doi:10.5285/8162887a-5481-440f-a7f2-427eee793efd"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following…","state":"published","supplementalDescription":["Lanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018). Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 305-319","Keeley, J.E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126."],"temporalExtentText":"Data collected from 2020 to 2021","title":"High resolution burn severity data (derived from satellite imagery) for the South Fork McKenzie River in Oregon, USA, before and after a wildfire event, 2020 and 2021","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["Durham University"],"authorFamilyName":["Riabinina"],"authorFullName":["Riabinina, O."],"authorGivenName":["Olena"],"authorOrcid":["0000-0002-0088-4534"],"authorRor":["https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains locations and species of mosquitoes collected during fieldwork in India in 2022. Mosquito adults and larvae were collected from 4 locations: Bangalore, Udaipur, Delhi and Mumbai. The focus was on collecting Anopheles mosquitoes, but other species were also collected. Anopheles mosquitoes transmit malaria, so changes in their distribution raises concern for the spread of this disease.","documentType":"GEMINI_DOCUMENT","familyName":["Riabinina"],"fullName":["Riabinina, O.","Olena Riabinina"],"funder":["Natural Environment Research Council"],"givenName":["Olena"],"grant":["NE/W00402X/1"],"identifier":"ac5ecc99-b1b9-443a-b0b1-5059b85bc30f","incomingCitationCount":0,"keyword":["Biodiversity","Evolutionary ecology","Invasive species","mosquito","India"],"keywordsOther":["mosquito","India"],"keywordsTheme":["Biodiversity","Evolutionary ecology","Invasive species"],"licence":"Open government licence","lineage":"Mosquito adults and larvae were collected from 4 locations in India: Bangalore, Udaipur, Delhi and Mumbai. The fieldwork instrumentation used were dippers for larvae and aspirators for adult mosquitoes. Quality control/assessment was was provided by an experienced colleague who identified the mosquito species morphologically.","locations":["POLYGON((66.972 4.741, 66.972 36.031, 90.527 36.031, 90.527 4.741, 66.972 4.741))"],"metadataDate":"2026-11-05T13:25:33.000Z","orcid":["0000-0002-0088-4534"],"organisation":["Durham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f","10.5285/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f","doi:10.5285/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f"],"resourceType":"Dataset","rightsHolder":["Durham University"],"ror":["https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains locations and species of mosquitoes collected during fieldwork in India in 2022. Mosquito adults and larvae were collected from 4 locations: Bangalore, Udaipur, Delhi and Mumbai. The focus was on collecting Anopheles mosquitoes, but other species…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Distribution of Anopheles stephensi and other mosquito species in India, 2022","topic":["0/Biodiversity/","0/Evolutionary ecology/","0/Invasive species/"],"version":1.0,"view":["public","katwri"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}