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In addition to vegetation data, soil data are also gathered by the current phase of the 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.","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Andrews","Brentegani","Fitos","Garbutt","Gray","Henrys","Long","Meek","Mullally","Ó Ceallaigh","O'Rourke","Pallett","Peet","Scarlett","Wagner","Wallace","Williams","Wood"],"fullName":["Smart, S.M.","Andrews, C.","Brentegani, M.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Long, C.E.","Meek, B.","Mullally, S.","Ó Ceallaigh, C.","O'Rourke, C.","Pallett, D.W.","Peet, E.","Scarlett, P.","Wagner, M.","Wallace, H.","Williams, B.","Wood, C.M."],"funder":["Natural Environment Research Council"],"givenName":["S.M.","C.","M.","E.","R.A.","A.","P.A.","C.E.","B.","S.","D.W.","P.","H.","C.M."],"grant":["NE/R016429/1"],"identifier":"48b52173-de8d-46c0-8e59-be3b819e234a","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","ground flora","Pollinators","vascular plants","Great Britain","flora (biology)","UK-SCAPE"],"keywordsOther":["ground flora","Pollinators","vascular plants","Great Britain","flora (biology)","UK-SCAPE"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2020 and 2021 by professional, trained surveyors. 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Standard Countryside Survey methodology was applied (refer to the online documentation).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T10:37:24.000Z","orcid":["https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Ecological Surveys (Bangor)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/48b52173-de8d-46c0-8e59-be3b819e234a","10.5285/48b52173-de8d-46c0-8e59-be3b819e234a","doi:10.5285/48b52173-de8d-46c0-8e59-be3b819e234a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes of plots recorded from 159 1km squares across Great Britain in 2020 and 2021, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated…","state":"published","supplementalName":["Countryside Survey website"],"title":"Vegetation plot data from the UKCEH Countryside Survey, Great Britain, 2020 and 2021","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scarlett","Edwards","Astbury","Burden","Carter","Emmett","Garbutt","Henrys","Keenan","Owen","Sharps","Williams","Wood"],"authorFullName":["Scarlett, P.","Edwards, F.","Astbury, S.","Burden, A.","Carter, H.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Keenan, P.","Owen, A.","Sharps, K.","Williams, B.","Wood, C.M."],"authorGivenName":["P.","F.","S.","A.","H.","B.A.","P.A.","K.","B.","C.M."],"authorOrcid":["https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of freshwater pond quality data for sites across Wales between 2013 and 2016. Data include macrophyte species records, chemistry and water quality metrics, and environmental variables such as pollution, grazing and management from surveyed ponds. Ponds were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained pond features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). \n\n The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Scarlett","Edwards","Astbury","Burden","Carter","Emmett","Garbutt","Henrys","Keenan","Owen","Sharps","Williams","Wood"],"fullName":["Scarlett, P.","Edwards, F.","Astbury, S.","Burden, A.","Carter, H.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Keenan, P.","Owen, A.","Sharps, K.","Williams, B.","Wood, C.M."],"givenName":["Peter","P.","F.","S.","A.","H.","B.A.","P.A.","K.","B.","C.M."],"identifier":"687b38d3-2278-41a0-9317-2c7595d6b882","incomingCitationCount":1,"keyword":["Wales","Environmental survey","Water quality","Glastir"],"keywordsOther":["Glastir"],"keywordsPlace":["Wales"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2013-2016 by professional surveyors. Data were recorded from up to 300 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology. Standardised methodologies were applied throughout.\n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10 km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-06-29T18:09:54.000Z","orcid":["https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-04-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/687b38d3-2278-41a0-9317-2c7595d6b882","10.5285/687b38d3-2278-41a0-9317-2c7595d6b882","doi:10.5285/687b38d3-2278-41a0-9317-2c7595d6b882"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set consists of freshwater pond quality data for sites across Wales between 2013 and 2016. Data include macrophyte species records, chemistry and water quality metrics, and environmental variables such as pollution, grazing and management from surveyed ponds.…","state":"published","supplementalDescription":["Website for the Glastir Monitoring and Evaluation Project (GMEP)","Website for the Environment & Rural Affairs Monitoring and Modelling Programme (ERAMMP).  Follow-up project to GMEP.","Website for closely related project"],"supplementalName":["GMEP website","ERAMMP website","Countryside Survey website"],"title":"Pond quality metrics from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Marine Scotland Science, University of Edinburgh","University of Edinburgh","Marine Scotland Science","UK Centre for Ecology & Hydrology","British Antarctic Survey"],"authorFamilyName":["Keogan","Lewis","Howells","Newell","Harris","Burthe","Phillips","Wanless","Phillimore","Daunt"],"authorFullName":["Keogan, K.","Lewis, S.","Howells, R.J.","Newell, M.A.","Harris, M.P.","Burthe, S.","Phillips, R.A.","Wanless, S.","Phillimore, A.B.","Daunt, F."],"authorGivenName":["K.","S.","R.J.","M.A.","M.P.","R.A.","A.B.","F."],"authorOrcid":["https://orcid.org/0000-0002-4723-175X","https://orcid.org/0000-0002-1342-430X","https://orcid.org/0000-0001-8871-3432","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0003-4638-3388"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/02kh2f959","https://ror.org/00pggkr55","https://ror.org/01rhff309"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data on timing of breeding, breeding success and diet of the European shag, sampled from the Isle of May population. The data were collected between 1985 and 2015 by visually checking nests and collecting regurgitated diet samples. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study).","documentType":"GEMINI_DOCUMENT","familyName":["Daunt","Keogan","Lewis","Howells","Newell","Harris","Burthe","Phillips","Wanless","Phillimore"],"fullName":["Daunt, F.","Keogan, K.","Lewis, S.","Howells, R.J.","Newell, M.A.","Harris, M.P.","Burthe, S.","Phillips, R.A.","Wanless, S.","Phillimore, A.B."],"givenName":["Francis","K.","S.","R.J.","M.A.","M.P.","R.A.","A.B.","F."],"identifier":"6231bd5b-ee2d-4cca-a9ef-88006ffa4976","incomingCitationCount":0,"keyword":["Isle of May","Phenology","Phalacrocorax aristotelis"],"keywordsOther":["Phalacrocorax aristotelis"],"keywordsPlace":["Isle of May"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"Breeding phenology and success were recorded for a sample of nests every year between 1987 and 2016 (no data available for 1993 and 2003). Nests were monitored in 18 plots spread throughout the colony. Nests were checked every seven days from before laying started until after the last chick had fledged.\n\nSea surface temperature data were extracted for February and March in each year (from http://www.bsh.de) for an area surrounding the Isle of May that overlapped shag foraging distribution in the breeding season. \n\nRegurgitates (from which the biomass proportions of each prey type can be estimated) were collected during the chick-rearing period (April -July) between 1985 and 2014. Collection dates showed a strong positive correlation with the timing of the shag breeding season.","locations":["POLYGON((-2.65 56.141, -2.65 56.231, -2.462 56.231, -2.462 56.141, -2.65 56.141))"],"metadataDate":"2026-06-29T18:28:21.000Z","orcid":["https://orcid.org/0000-0002-4723-175X","https://orcid.org/0000-0002-1342-430X","https://orcid.org/0000-0001-8871-3432","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","Marine Scotland Science, University of Edinburgh","University of Edinburgh","Marine Scotland Science","British Antarctic Survey","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-10-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6231bd5b-ee2d-4cca-a9ef-88006ffa4976","10.5285/6231bd5b-ee2d-4cca-a9ef-88006ffa4976","doi:10.5285/6231bd5b-ee2d-4cca-a9ef-88006ffa4976"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/02kh2f959","https://ror.org/01rhff309","https://ror.org/04xw4m193"],"shortenedDescription":"Data on timing of breeding, breeding success and diet of the European shag, sampled from the Isle of May population. The data were collected between 1985 and 2015 by visually checking nests and collecting regurgitated diet samples. These data are part of the Isle of…","state":"published","title":"Diet, timing of egg laying and breeding success data for Isle of May European shag population 1985-2015","topic":["0/Phenology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Essex"],"authorFamilyName":["Warren","Underwood"],"authorFullName":["Warren, S.","Underwood, G."],"authorGivenName":["S.","G."],"authorRor":["https://ror.org/02nkf1q06"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains diatom species count data from rivers within the Hampshire Avon catchment, UK. Data were collected from five sediment cores at each site, collected in February, April, August and November during 2013. Data were collected as part of the project \"The role of lateral exchange in modulating the seaward flux of C, N, P\", funded under NERC's Macronutrients Cycles research programme.","documentType":"GEMINI_DOCUMENT","familyName":["Warren","Underwood"],"fullName":["Warren, S.","Underwood, G."],"givenName":["Scott","S.","G."],"identifier":"aec7f752-6be6-4626-bbdb-921bf8d7e3ce","incomingCitationCount":0,"keyword":["River Ebble","River Avon","River Nadder","River Wylye","River Sem","seasonality","diatom"],"keywordsOther":["seasonality","diatom"],"keywordsPlace":["River Ebble","River Avon","River Nadder","River Wylye","River Sem"],"licence":"Open government licence","lineage":"At each site, five sediment cores (internal diameter 8 cm) were taken within a 25 m long river reach. From this core, four sub-cores (internal diameter 2 cm) were taken in order to pair measurements. Sub-cores were stored depending on what analysis was done. All data were collected using standard methodologies as detailed in the supporting information.","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-06-27T18:30:05.000Z","organisation":["University of Essex","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-02-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/aec7f752-6be6-4626-bbdb-921bf8d7e3ce","10.5285/aec7f752-6be6-4626-bbdb-921bf8d7e3ce","doi:10.5285/aec7f752-6be6-4626-bbdb-921bf8d7e3ce"],"resourceType":"Dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/02nkf1q06","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains diatom species count data from rivers within the Hampshire Avon catchment, UK. Data were collected from five sediment cores at each site, collected in February, April, August and November during 2013. Data were collected as part of the project…","state":"published","title":"Diatom community composition over a seasonal cycle in the Hampshire Avon catchment","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey"],"authorFamilyName":["Feeney","Robinson","Lawley","Holbrook","Dhiedt","Williamson","Tye","Redhead"],"authorFullName":["Feeney, C.J.","Robinson, D.A.","Lawley, R.","Holbrook, H.","Dhiedt, E.","Williamson, J.L.","Tye, A.M.","Redhead, J.W."],"authorGivenName":["C.J.","D.A.","R.","H.","E.","J.L.","A.M.","J.W."],"authorOrcid":["https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-5621-6287","https://orcid.org/0000-0003-2575-6800","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-4653-7773","https://orcid.org/0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains national scale maps on several characteristics of soils and landscapes across Great Britain, circa 2020. Key soil parent material categories featured here include texture, drainage, depth, organic matter and calcium carbonate contents. Terrain information includes landform classes, topographic wetness index, and indices of valley bottom flatness and ridge top flatness. Our maps were derived from components of the BGS's Depth to Groundwater and Parent Material Models, digital maps of soil organic carbon content and peat extent, locations of landfill and quarry sites from Open Street Map, and the OS Terrain 50 digital terrain model. The collated third-party datasets were modified to produce a mini data cube of several derived map layers, that were then combined to produce a map of 13 soil natural capital units The maps can be used either individually or collectively to support soil health assessment, to train land cover classification and digital soil mapping algorithms, and modelling of ecosystem services.\nThe full dataset includes 9 raster gridded maps at 50 x 50 metre resolution, with full coverage of England, Scotland and Wales. Northern Ireland was excluded due to a lack of accessible third-party data which we could apply our classification framework to. Our dataset is considered to be representative of soils and landscapes as of the year 2020, based on the maps of soil organic carbon content and locations of quarries and landfills we used. However, it should be stressed that several soil properties, including texture, depth, calcium carbonate contents and drainage reflect much longer-term conditions.","documentType":"GEMINI_DOCUMENT","familyName":["Feeney","Robinson","Lawley","Holbrook","Dhiedt","Williamson","Tye","Redhead"],"fullName":["Feeney, C.J.","Robinson, D.A.","Lawley, R.","Holbrook, H.","Dhiedt, E.","Williamson, J.L.","Tye, A.M.","Redhead, J.W."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","D.A.","R.","H.","E.","J.L.","A.M.","J.W."],"grant":["NE/W005050/1"],"identifier":"5bcd927d-8114-4937-af7e-258cfd137109","incomingCitationCount":0,"keyword":["Soil","Mapping","soil map","soil type","landform","landscape","natural capital","parent material"],"keywordsOther":["soil map","soil type","landform","landscape","natural capital","parent material"],"keywordsTheme":["Soil","Mapping"],"licence":"Non-Open government licence","lineage":"We derived 9 new map layers by processing several third-party spatial data layers, including: (1) Ordnance Survey Terrain 50 Digital Terrain Model (OS Terrain 50 DTM); (2) British Geological Survey (BGS) Parent Material Model (PMM); (3) BGS Depth to Groundwater Model; (4) A unified peat map for Great Britain; (5) Soil organic carbon concentration (SOC) maps for 0-30cm and the years, 2000, 2004, 2008, 2012, 2016 and 2020 from the EcoDataCube; and (6) Locations of quarries and dumps circa year 2020, according to Open Street Map (OSM). \nAll maps were harmonised to 50m resolution raster grids under the British National Grid coordinate reference system to the same position and extent. For data already in raster format, layers were reprojected to British National Grid and resampled to 50m. Vector-format maps, including the BGS PMM variables we used and the peat map, were rasterised.\nNext, through a mix of aggregating values into a smaller number of classes and combining different map layers together, the following 4 new map layers were produced: (1) Textural composition, (2) Physico-chemical parent material characteristics, (3) Subsurface drainage controls, and (4) Geomorphon landform classes\nA circular moving neighbourhood analysis window with a 1km diameter was applied to the first 3 maps to smooth out artefacts and sensitive linework in the underlying BGS PMM layers. Next, a decision tree was applied to assign 13 soil natural capital units, defined by combinations of categories across these 4 component maps. To support the accuracy evaluation of our maps, we derived an additional 4 maps of landscapes and terrain indices from the OS Terrain 50 DTM, giving us a total of 9 maps of soils, parent material and terrain for Great Britain. Each of these maps was clipped to a vector layer that represented a \"true\" land mask. This mask layer was derived from the OS boundary high water mark and spatial inventory of water bodies to exclude coastal and inland areas of open water. Full details of all processing steps are included in the Supporting Documentation file included with the dataset.\nInitial checks on the basic structure of the dataset were performed. These include steps to verify that all 9 maps shared the same and correct coordinate reference system, grid resolution and spatial extent; consisted of values within expected ranges; had appropriately defined no-data values; and could be loaded into R, QGIS and ArcMap to test interoperability.\nWe compared our subsurface drainage map with the Hydrology of Soil Types (HOST) map (63 % agreement); our textural composition map against the NATMAP topsoil texture map for England & Wales and a topsoil texture map for Scotland, derived from the National Soil Map of Scotland (53 % agreement); and our physicochemical properties map against equivalent classes from the NATMAP and National Soil Map of Scotland datasets for England & Wales and Scotland, respectively (72 % agreement). Full details of the evaluation results can be found in the Supporting Documentation file included with the dataset.\nIn an effort to remove small artefacts and blur sensitive linework from the BGS parent material maps, we applied a moving neighbourhood smoothing algorithm with a 1km diameter circle. This has blurred out some finer spatial detail, rendering our maps unsuitable for sub-field scales. We would therefore recommend that users apply our data at whole-field scale or across larger domains, such as river catchments or counties up to full national scale.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:19:09.000Z","orcid":["https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-5621-6287","https://orcid.org/0000-0003-2575-6800","https://orcid.org/0000-0001-8216-5885","https://orcid.org/0000-0002-4653-7773","https://orcid.org/0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5bcd927d-8114-4937-af7e-258cfd137109","10.5285/5bcd927d-8114-4937-af7e-258cfd137109","doi:10.5285/5bcd927d-8114-4937-af7e-258cfd137109"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","British Geological Survey"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains national scale maps on several characteristics of soils and landscapes across Great Britain, circa 2020. Key soil parent material categories featured here include texture, drainage, depth, organic matter and calcium carbonate contents. Terrain…","state":"published","title":"National scale maps of parent material properties, terrain and soil natural capital units at 50 metre resolution for Great Britain, 2020","topic":["0/Soil/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Excel","Comma-separated values (CSV)"],"description":"This dataset consists of a survey of the vegetational impacts of deer in 20 forests as part of the NERC Rural Economy and Land Use (RELU) programme. It is widely accepted, at least in principle, that most kinds of natural resources are best handled collaboratively. Collaborative management avoids conflict and enhances the efficiency with which the resource is managed. However, simply knowing that collaboration is a good idea does not guarantee that collaboration can be achieved. In this project, the researchers have addressed issues of conflict and collaboration in ecological resource management using the example of wild deer in Britain. Deer are an excellent example since they highlight problems around ownership and because they offer both societal benefits and drawbacks. Wild deer are not owned, though the land they occupy is. As deer move around, they usually cross ownership boundaries and thus provoke potential conflicts between neighbouring owners who have differing management goals. Deer themselves are valued and a key component of the natural environment, but their feeding commonly limits or prevents woodland regeneration and can thus be harmful to ecological quality. Deer provide jobs but they also provoke traffic accidents. This study used a variety of methods from across the natural and social sciences, including choice experiments, semi-structured interviews with individuals and focus groups. It also incorporated the use of participatory GIS to map deer distributions and habitat preferences in conjunction with stakeholders. The study confirmed conventional wisdom about the importance of collaboration. However, it also showed that there were many barriers to achieving effective collaboration in practice, such as contrasting objectives, complex governance arrangements, power imbalances and personal relationships. Mechanisms for enhancing collaboration, such as incentives and incorporating deer within broader landscape management objectives, were examined. Though these proposals were worked out for the case of deer, they are likely to be applicable much more widely and should be considered in other cases of disputed or rapidly changing ecological resource management. This dataset consists of a survey of the vegetational impacts of deer in 20 forests. The interview and focus group transcripts, and the choice experiment datasets from this study are available at the UK Data Archive under study number 6545 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).","documentType":"GEMINI_DOCUMENT","familyName":["Irvine","White","Gill","Dandy"],"fullName":["Irvine, J.","White, P.","Gill, R.","Dandy, N."],"funder":["Biotechnology and Biological Sciences Research Council"],"givenName":["Justin","Piran","Robin","Norman"],"grant":["RES-224-26-0041"],"identifier":"b75699cc-41c6-40a4-81ac-fc157958fc68","incomingCitationCount":0,"keyword":["Balquhidder","Cairngorm (mountains)","England","Poole basin","Scotland","Wales","Conflict","Cooperation","Deer (farmed)","Environmental conservation","Environmental management","Geographic information systems","Land management","Participation","Resources management","Rural areas","Rural development","Rural economics","Rural environment","Rural planning","Social conflict","Stakeholders","2006-2009","Rural Economy and Land Use Programme","Collaborative Deer Management"],"keywordsOther":["Rural Economy and Land Use Programme","Collaborative Deer Management"],"keywordsTheme":["Balquhidder","Cairngorm (mountains)","England","Poole basin","Scotland","Wales","Conflict","Cooperation","Deer (farmed)","Environmental conservation","Environmental management","Geographic information systems","Land management","Participation","Resources management","Rural areas","Rural development","Rural economics","Rural environment","Rural planning","Social conflict","Stakeholders","2006-2009"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-224-26-0041 The vegetational impact data consists of measurements of ecological indicators including physical damage, diversity and density, further details of which can be found in the documentation the data files. Detailed information on the sampling methods used are currently not available.","locations":["POLYGON((-6.58 49.05, -6.58 55.94, 4.09 55.94, 4.09 49.05, -6.58 49.05))"],"metadataDate":"2026-06-29T15:34:30.000Z","organisation":["Macaulay Institute","University of York","Forest Research","NERC Environmental Information Data Centre","UK Data Service"],"publicationDate":"2008-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1297098008280","CEH:EIDC::1297098008280","https://catalogue.ceh.ac.uk/id/b75699cc-41c6-40a4-81ac-fc157958fc68"],"resourceType":"Dataset","ror":["https://ror.org/04m01e293","https://ror.org/03wcc3744","https://ror.org/04xw4m193","https://ror.org/0468x4e75"],"shortenedDescription":"This dataset consists of a survey of the vegetational impacts of deer in 20 forests as part of the NERC Rural Economy and Land Use (RELU) programme. It is widely accepted, at least in principle, that most kinds of natural resources are best handled collaboratively.…","state":"published","title":"Collaborative deer management - ecology data, 2006-2009","version":1.0,"view":["public","veerle@essex.ac.uk"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","The James Hutton Institute","The James Hutton Institute ","Durham University","University of Leicester","Bangor University","Department for Food, Environment and Rural Affairs","Durham University "],"authorFamilyName":["Morrison","Cooper","Artz","Burden","Callaghan","Coyle","Cumming","Dixon","Helfter","Kaduk","Levy","McNamara","Oakley","Page","Rayment","Ridley","Worrall","Evans"],"authorFullName":["Morrison, R.","Cooper, H.M.","Artz, R.","Burden, A.","Callaghan, N.","Coyle, M.","Cumming, A.M.J.","Dixon, S.","Helfter, C.","Kaduk, J.","Levy, P.","McNamara, N.","Oakley, S.","Page, S.E.","Rayment, M.","Ridley, L.M.","Worrall, F.","Evans, C.D."],"authorGivenName":["R.","H.M.","A.","N.","M.","A.M.J.","S.","C.","J.","P.","S.E.","L.M.","F.","C.D."],"authorOrcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-9440-6524","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-6801-6098","https://orcid.org/0000-0001-5773-4652","https://orcid.org/0000-0003-4051-3081","https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-3392-9241","https://orcid.org/0000-0003-3599-364X","https://orcid.org/0000-0002-4139-1330","https://orcid.org/0000-0002-7052-354X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of land surface-atmosphere net ecosystem carbon dioxide exchange (NEE) and supporting micrometeorological observations collected at 13 peatland eddy covariance (EC) flux observation sites located across Wales, Scotland and England. Sites were active at different timescales between 2008 and 2020. The dataset represents a subset of the variables measured at each site. \n\nThe full range of variables monitored at each location can be accessed via EIDC records and/or by contacting the authors.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morrison","Cooper","Artz","Burden","Callaghan","Coyle","Cumming","Dixon","Helfter","Kaduk","Levy","McNamara","Oakley","Page","Rayment","Ridley","Worrall","Evans"],"fullName":["Morrison, R.","Cooper, H.M.","Artz, R.","Burden, A.","Callaghan, N.","Coyle, M.","Cumming, A.M.J.","Dixon, S.","Helfter, C.","Kaduk, J.","Levy, P.","McNamara, N.","Oakley, S.","Page, S.E.","Rayment, M.","Ridley, L.M.","Worrall, F.","Evans, C.D."],"funder":["Natural Environment Research Council"],"givenName":["R.","H.M.","A.","N.","M.","A.M.J.","S.","C.","J.","P.","S.E.","L.M.","F.","C.D.","Ross"],"grant":["NE/R016429/1"],"identifier":"b8c9fd3d-f9ea-4fd8-9557-9022884f711d","incomingCitationCount":1,"keyword":["UK-SCAPE","Soil","Environmental survey","Climate and climate change","Peatland","carbon dioxide","meteorology","peat"],"keywordsOther":["Peatland","carbon dioxide","meteorology","peat"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Soil","Environmental survey","Climate and climate change"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made using open- or closed-path eddy covariance systems.\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software.\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly.\nFurther details are available in the supporting documentation.","locations":["POLYGON((-7.682 49.864, -7.682 60.861, 1.768 60.861, 1.768 49.864, -7.682 49.864))"],"metadataDate":"2026-06-30T16:31:49.000Z","orcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-9440-6524","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-6801-6098","https://orcid.org/0000-0001-5773-4652","https://orcid.org/0000-0003-4051-3081","https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-3392-9241","https://orcid.org/0000-0003-3599-364X","https://orcid.org/0000-0002-4139-1330","https://orcid.org/0000-0002-7052-354X"],"organisation":["UK Centre for Ecology & Hydrology","The James Hutton Institute","The James Hutton Institute ","Durham University","University of Leicester","Bangor University","Department for Food, Environment and Rural Affairs","Durham University ","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-03-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8c9fd3d-f9ea-4fd8-9557-9022884f711d","10.5285/b8c9fd3d-f9ea-4fd8-9557-9022884f711d","doi:10.5285/b8c9fd3d-f9ea-4fd8-9557-9022884f711d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of land surface-atmosphere net ecosystem carbon dioxide exchange (NEE) and supporting micrometeorological observations collected at 13 peatland eddy covariance (EC) flux observation sites located across Wales, Scotland…","state":"published","title":"Net ecosystem carbon dioxide (CO2) exchange and meteorological observations collected at peatlands across Wales, Scotland and England, 2008-2020","topic":["0/Soil/","0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of York"],"authorFamilyName":["Hayes","Mills","Ashmore"],"authorFullName":["Hayes, F.","Mills, G.","Ashmore, M."],"authorGivenName":["F.","G.","M."],"authorOrcid":["https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0001-9870-2868"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are biomass measurements from an ozone exposure experiment, during which Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for 12 weeks. Treatments were elevated ozone (AOT40 (Accumulated Ozone Threshold exposure of 40 parts per billion) of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h). Measurements were dry weight, with a cutting height of 7cm above soil level. The distribution of plant material within the canopy was determined by separating material growing in the upper canopy (>14cm) from the canopy edge and the inner canopy for both species. The experiments were carried out in the CEH Bangor Air Pollution Facility. Work was funded by the Centre for Ecology & Hydrology Integrating Fund Initiative. The observed decreases in photosynthetic efficiency and capacity in elevated ozone indicate that the ability of such ubiquitous vegetation to act as a sink for atmospheric carbon may be reduced in future climates.","documentType":"GEMINI_DOCUMENT","familyName":["Hayes","Mills","Ashmore"],"fullName":["Hayes, F.","Mills, G.","Ashmore, M."],"givenName":["F.","G.","M."],"identifier":"5de90f7a-dec9-4bd5-af52-d0873a09d25d","incomingCitationCount":0,"keyword":["Abergwyngregyn","Pollution","competition","solar domes","solardome","Trifolium repens","Lolium perenne","root","leaf","grassland","ozone"],"keywordsOther":["competition","solar domes","solardome","Trifolium repens","Lolium perenne","root","leaf","grassland","ozone"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for 12 weeks. Treatments were elevated ozone (AOT40 of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h). There were reductions in biomass for T. repens, but not L. perenne, and the proportion of T. repens decreased in ozone-exposed mixtures compared to the control. In addition, leaf biomass of T. repens was maintained at the expense of biomass partitioning to the stolons. The decreased growth corresponded with decreased photosynthetic capacity for T. repens, however, by the end of the exposure there was also decreased photosynthetic capacity of L. perenne, a species previously considered insensitive to ozone. The observed decreases in photosynthetic efficiency and capacity in elevated ozone indicate that the ability of such ubiquitous vegetation to act as a sink for atmospheric carbon may be reduced in future climates.","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-06-29T18:23:06.000Z","orcid":["https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0001-9870-2868"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of York","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1418144487386","CEH:EIDC::1418144487386","https://catalogue.ceh.ac.uk/id/5de90f7a-dec9-4bd5-af52-d0873a09d25d","10.5285/5de90f7a-dec9-4bd5-af52-d0873a09d25d","doi:10.5285/5de90f7a-dec9-4bd5-af52-d0873a09d25d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"The data are biomass measurements from an ozone exposure experiment, during which Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for…","state":"published","supplementalDescription":["Hayes, Felicity; Mills, Gina; Ashmore, Mike. 2010 How much does the presence of a competitor modify the within-canopy distribution of ozone-induced senescence and visible injury? Water, Air and Soil Pollution, 210. 265-276. ","Hayes,F.; Mills, G.; Ashmore, M.. 2009 Effects of ozone on inter- and intra-species competition and photosynthesis in mesocosms of Lolium perenne and Trifolium repens. Environmental Pollution, 157 (1). 208-214. "],"title":"Biomass of Trifolium repens versus Lolium perenne after ozone exposure in solardomes","topic":["0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Huddersfield"],"authorFamilyName":["Smyth","Wilson"],"authorFullName":["Smyth, T.A.G.","Wilson, R."],"authorGivenName":["T.A.G.","R."],"authorOrcid":["https://orcid.org/0000-0002-1740-762X","https://orcid.org/0000-0001-9063-8021"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data contains Aerial imagery of Ynyslas Dunes, Wales saved in a GeoTiff format. The imagery covers 8000 m2 of a discrete coastal sand dune at northern distal end of a spit in Dyfi National Nature Reserve. Data was collected during a six-minute flight on 5th February 2020 made by a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location surveyed using a differential global positioning system (DGPS).\n\nOrthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms. The data was collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery. Data was collected and processed by Dr Ryan Wilson (University of Huddersfield) and interpreted by Dr Thomas Smyth (University of Huddersfield). \n\nThe work was supported by the Natural Environment Research Council NE/T00410X/1. ","documentType":"GEMINI_DOCUMENT","familyName":["Smyth","Wilson"],"fullName":["Smyth, T.","Smyth, T.A.G.","Wilson, R."],"funder":["Natural Environment Research Council"],"givenName":["Thomas","T.A.G.","R."],"grant":["NE/T00410X/1"],"identifier":"ac7071cb-79a3-400d-9f17-13dc4a657083","incomingCitationCount":1,"keyword":["Coastal Dunes","Remote Sensing","Image Classification","aerial photograph","sand dune"],"keywordsOther":["aerial photograph","sand dune"],"keywordsTheme":["Coastal Dunes","Remote Sensing","Image Classification"],"licence":"Open government licence","lineage":"The data was originally collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery.\n\nCollection method: RGB aerial imagery was collected using a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location was surveyed using a Trimble R8 differential global positioning system (DGPS). Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms\nNature and Units of recorded values: Pixel values for Red, Green, and Blue at 0.01 m resolution.\n\nQuality Control: Pix4Dmapper was used to manually identify the surveyed GCPs within the aerial imagery. By comparing the absolute coordinates of the GCPs surveyed with those for the same location within the resulting orthomosaic, a root mean square error of 0.003 m was calculated in the X, Y and Z directions, respectively, indicating a high degree of relative accuracy.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-06-29T15:40:41.000Z","orcid":["https://orcid.org/0000-0002-1740-762X","https://orcid.org/0000-0001-9063-8021"],"organisation":["University of Huddersfield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac7071cb-79a3-400d-9f17-13dc4a657083","10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083","doi:10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083"],"resourceType":"Dataset","rightsHolder":["University of Huddersfield"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data contains Aerial imagery of Ynyslas Dunes, Wales saved in a GeoTiff format. The imagery covers 8000 m2 of a discrete coastal sand dune at northern distal end of a spit in Dyfi National Nature Reserve. Data was collected during a six-minute flight on 5th February…","state":"published","title":"Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Glasgow","University of St Andrews","University of York ","University of York","UK Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Ladd","Miller","McMahon","Havelock","Smeaton","Garbutt","Skov","Austin"],"authorFullName":["Ladd, C.J.T.","Miller, L.C.","McMahon, L.","Havelock, G.M.","Smeaton, C.","Garbutt, A.","Skov, M.W.","Austin, W.E.N."],"authorGivenName":["C.J.T.","L.C.","L.","G.M.","C.","A.","M.W.","W.E.N."],"authorOrcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0003-0199-7108","https://orcid.org/0000-0001-5862-1596","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865","https://orcid.org/0000-0001-6544-3468"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/02wn5qz54","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to develop an understanding the linkages between saltmarsh soil organic carbon and vegetation. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The dataset comprises of percentage species cover, plant height, plant richness and plant diversity data from 33 UK saltmarshes.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Miller","McMahon","Havelock","Smeaton","Garbutt","Skov","Austin"],"fullName":["Ladd, C.J.T.","Miller, L.C.","McMahon, L.","Havelock, G.M.","Smeaton, C.","Garbutt, A.","Skov, M.W.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.J.T.","L.C.","L.","G.M.","C.","A.","M.W.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"7815291a-ee3e-49a7-8ef1-e8baa81f4964","incomingCitationCount":0,"keyword":["United Kingdom","plant","richness carbon","C-SIDE","substrate","Scotland","England","Wales","coastal ecosystem","wetland","blue carbon","sediment","salt marsh","organic matter","organic carbon","vegetation","biological diversity"],"keywordsOther":["United Kingdom","plant","richness carbon","C-SIDE","substrate","Scotland","England","Wales","coastal ecosystem","wetland","blue carbon","sediment","salt marsh","organic matter","organic carbon","vegetation","biological diversity"],"licence":"Open government licence","lineage":"Across 33 UK saltmarshes 460 vegetation surveys were undertaken using 1m x 1m quadrats. The location of each quadrat was recorded using Differential Global Positioning System (DGPS). Within each quadrat percentage cover of each plant species was estimated by eye. Plant height was measured at 10 random points within each quadrat. The mean plant height and standard deviation for each quadrat was calculated and reported.  Plant species richness was recorded as the number of species present per quadrat and plant diversity was estimated using the Shannon-Wiener Index. Vegetation data were recorded in the field and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:56:54.000Z","orcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0003-0199-7108","https://orcid.org/0000-0001-5862-1596","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865","https://orcid.org/0000-0001-6544-3468"],"organisation":["University of Glasgow","University of St Andrews","University of York ","University of York","UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-07-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7815291a-ee3e-49a7-8ef1-e8baa81f4964","10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964","doi:10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/00vtgdb53","https://ror.org/02wn5qz54","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE)…","state":"published","title":"Vegetation composition data from UK saltmarshes, 2018 to 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Manchester","Moors for the Future Partnership","University of Manchester "],"authorFamilyName":["Johnston","Allott","Edokpa","Kay","Rees","Shuttleworth","Spencer","Evans"],"authorFullName":["Johnston, A.R.","Allott, T.E.H.","Edokpa, D.","Kay, M.","Rees, J.L.","Shuttleworth, E.L.","Spencer, T.","Evans, M.G."],"authorGivenName":["A.R.","T.E.H.","D.","M.","J.L.","E.L.","T.","M.G."],"authorOrcid":["https://orcid.org/0000-0002-6788-0407","https://orcid.org/0000-0001-7629-9537","https://orcid.org/0000-0003-1526-2620","https://orcid.org/0000-0003-0661-1366","https://orcid.org/0000-0003-2300-1033"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains depth to water table measurements from ten experimental microcatchments (0.4-3.9 hectares) on Stalybridge Moor, an upland peatland in the Peak District, UK. The data extend from 2019 to 2022, covering a period before and after gully blocking took place in six microcatchments, with four microcatchment kept as a non-restored control. Monthly measurements from October-February, summer/autumn.","documentType":"GEMINI_DOCUMENT","familyName":["Johnston","Allott","Edokpa","Kay","Rees","Shuttleworth","Spencer","Evans"],"fullName":["Johnston, A.R.","Allott, T.E.H.","Edokpa, D.","Kay, M.","Rees, J.L.","Shuttleworth, E.L.","Spencer, T.","Evans, M.G."],"funder":["Natural Environment Research Council"],"givenName":["A.R.","T.E.H.","D.","M.","J.L.","E.L.","T.","M.G."],"identifier":"e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07","incomingCitationCount":0,"keyword":["Peak District","Hydrology","peatland","water table"],"keywordsOther":["peatland","water table"],"keywordsPlace":["Peak District"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Depth to the water table from the peat surface was measured using a blow tube in PVC dipwells which were installed in the peat surface. The height of the dipwell protrusion from the peat surface is also measured and then subtracted from the recorded depth of the blow tube to get the depth of water table from the peat surface. Within each microcatchment, there were two dipwell clusters, one near the gully edge and one far from the gully edge. Each cluster contained five individual dipwells. Each cluster had a peat anchor installed, a metal rod inserted down to the mineral layer, to serve as a vertical datum to monitor potential changes in dipwell protrusion height (E.g. accidental or intentional human interference with installed equipment). ","locations":["POLYGON((-2.017 53.506, -2.017 53.528, -1.941 53.528, -1.941 53.506, -2.017 53.506))"],"metadataDate":"2026-06-27T18:23:59.000Z","orcid":["https://orcid.org/0000-0002-6788-0407","https://orcid.org/0000-0001-7629-9537","https://orcid.org/0000-0003-1526-2620","https://orcid.org/0000-0003-0661-1366","https://orcid.org/0000-0003-2300-1033"],"organisation":["University of Manchester","Moors for the Future Partnership","University of Manchester ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07","10.5285/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07","doi:10.5285/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains depth to water table measurements from ten experimental microcatchments (0.4-3.9 hectares) on Stalybridge Moor, an upland peatland in the Peak District, UK. The data extend from 2019 to 2022, covering a period before and after gully blocking took…","state":"published","title":"Manual water table measurements from experimental microcatchments in peatlands at Stalybridge, Peak District, UK, 2019-2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["Cranfield University","The Open University"],"authorFamilyName":["Posthumus","Rouquette"],"authorFullName":["Posthumus, H.","Rouquette, J."],"authorGivenName":["H.","J."],"authorRor":["https://ror.org/05cncd958","https://ror.org/05mzfcs16"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Hydrological monitoring data in this data collection result from dipwells installed at studied flood defence scheme, where electronic gauges monitored water-table fluctuations over time. Ecological data contain species sighting records of birds, butterflies, dragonflies and damselflies recorded during site visits to flood defence schemes in summer 2007. These data aim to show the relationship between water regimes and habitat potential.The study is part of the NERC Rural Economy and Land Use (RELU) programme. Agricultural Flood Defence Schemes in floodplain and coastal areas were once an important element of Government support for farmers in Britain. More recently, however, changing priorities in the countryside, concern about environmental quality and perceptions of increased flood risk in lowland areas, in part linked to climate change, have promoted a re-appraisal of land management options and policies for floodplain areas. Eight agricultural flood defence schemes, previously studied by the research team in the 1980s, have been re-examined to identify and explain changes in land and water management that have occurred over the last 40-years. This involved stakeholder and institutional analysis, farmer interviews, ecological surveys, field observations and modelling of hydrological and related ecological processes. Generic land use scenarios have been developed to consider management options that focus on single objectives, such as maximising agricultural production, maximising biodiversity and minimising flood risk in the catchment. The scenarios examined the impacts of changes in rural land use on ecosystem goods and services. The influence of agricultural policy, interacting with farmer circumstances and motivation, on land use has also been explored. The project also evaluated the impacts of the summer 2007 floods on agriculture and rural communities. The results revealed opportunities for achieving a wide range of benefits relating to farming, biodiversity, amenity, flood management, water quality and the wider rural economy. The study informed strategies for floodplain management, helping to develop approaches that are appealing to major stakeholders. Historical data on the studied flood defence schemes, farm business survey data and interviews with farmers at flood defence schemes, and interviews with farmers and rural businesses affected by summer floods in 2007 are available at the UK Data Archive under study number 6377 (see related resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).","documentType":"GEMINI_DOCUMENT","familyName":["Morris","Gowing","Posthumus","Hess","Rouquette","Trawick"],"fullName":["Morris, J.","Gowing, D.","Posthumus, H.","Hess, T.","Rouquette, J.","Trawick, P."],"givenName":["J.","D.","H.","T.","P."],"identifier":"84ab73ec-f52b-4aa3-a896-d303bb0b5aa5","incomingCitationCount":0,"keyword":["agricultural policy","biodiversity","ecology","farmers","farms","floods","land drainage","land management","rural economics","water damage","Integrated Floodplain Management","Rural Economy and Land Use Programme","RELU"],"keywordsOther":["agricultural policy","biodiversity","ecology","farmers","farms","floods","land drainage","land management","rural economics","water damage","Integrated Floodplain Management","Rural Economy and Land Use Programme","RELU"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0017 Hydrological monitoring data in this data collection result from dipwells installed in one representative field for each flood defence scheme studied. Electronic gauges monitored water-table fluctuations over time. A further gauge was installed in the adjacent watercourse. These field water-table records at a temporal resolution of 1 hour over approx 2 years, were used to calibrate and validate a model to simulate field water-table depth from weather, soils and water course levels. Ecological data in this collection are based on the habitat classification system (JNCC Phase 1 and 2) to show the relationship between water regimes (surface flooding and soil-water-table depth) and habitat potential, with particular reference to vegetation. The links between vegetation and the diversity of fauna were made at the landscape scale, allowing for the size, connectivity and degree of disturbance of the site. Existing wildlife habitats and species occurrence were recorded for each site, recording birds, butterflies , dragonflies and damselflies, as well as their potential for enhancement. Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0017 Hydrological monitoring data in this data collection result from dipwells installed in one representative field for each flood defence scheme studied. Electronic gauges monitored water-table fluctuations over time. A further gauge was installed in the adjacent watercourse. These field water-table records at a temporal resolution of 1 hour over approx 2 years, were used to calibrate and validate a model to simulate field water-table depth from weather, soils and water course levels. Ecological data in this collection are based on the habitat classification system (JNCC Phase 1 and 2) to show the relationship between water regimes (surface flooding and soil-water-table depth) and habitat potential, with particular reference to vegetation. The links between vegetation and the diversity of fauna were made at the landscape scale, allowing for the size, connectivity and degree of disturbance of the site. Existing wildlife habitats and species occurrence were recorded for each site, recording birds, butterflies , dragonflies and damselflies, as well as their potential for enhancement.","locations":["POLYGON((-3.39 50.86, -3.39 55, 0.42 55, 0.42 50.86, -3.39 50.86))"],"metadataDate":"2026-06-29T15:34:12.000Z","organisation":["Cranfield University","The Open University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-11-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1290428932574","CEH:EIDC::1290428932574","https://catalogue.ceh.ac.uk/id/84ab73ec-f52b-4aa3-a896-d303bb0b5aa5"],"resourceType":"Dataset","ror":["https://ror.org/05cncd958","https://ror.org/05mzfcs16","https://ror.org/04xw4m193"],"shortenedDescription":"Hydrological monitoring data in this data collection result from dipwells installed at studied flood defence scheme, where electronic gauges monitored water-table fluctuations over time. Ecological data contain species sighting records of birds, butterflies, dragonflies…","state":"published","supplementalDescription":["UKDA hosted RELU Knowledge Portal"],"supplementalName":["UK Data Service project page","RELU Knowledge Portal"],"title":"Integrated Floodplain Management - ecology & hydrology data, 2006-2008","version":1.0,"view":["public","veerle@essex.ac.uk"]},{"authorAffiliation":["Newcastle University","Makerere University"],"authorFamilyName":["McClean","Walsh","Lwasa","Ddumba"],"authorFullName":["McClean, F.","Walsh, C.","Lwasa, S.","Ddumba, D."],"authorGivenName":["F.","C.","S.","D."],"authorOrcid":["https://orcid.org/0000-0002-6159-2826","https://orcid.org/0000-0002-4047-1216"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/03dmz0111"],"availability":"Available","catalogue":"eidc","dataFormat":["GeoJSON","Comma-separated values (CSV)"],"description":"Hourly precipitation (mm) recorded at distributed points around Kampala between April 2019 and March 2020. Only timestamps where data were available from all sensors have been included. There are 8094 records in total and no missing values. Timestamps are recorded as “YYYY-MM-DD hh:mm:ss”. The geographic coordinates of the sensors are provided in GeoJSON format. The column names in the CSV file correspond to the “id” field in the GeoJSON file. ","documentType":"GEMINI_DOCUMENT","familyName":["McClean","Walsh","Lwasa","Ddumba"],"fullName":["McClean, F.","Walsh, C.","Lwasa, S.","Ddumba, D."],"givenName":["F.","C.","S.","D.","Fergus"],"identifier":"3df031ad-34ec-4abc-8528-f8f20bad12b8","incomingCitationCount":0,"keyword":["Kampala","Hydrology","Rainfall","hydrology"],"keywordsOther":["Rainfall","hydrology"],"keywordsPlace":["Kampala"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Davis Vantage VUE Sensor Suites were installed by researchers from Makerere University and Newcastle University in April 2019. Calibration is not required for the sensors employed in this research. No quality control procedures have been applied.","locations":["POLYGON((32.511 0.20700000000000002, 32.511 0.40900000000000003, 32.684 0.40900000000000003, 32.684 0.20700000000000002, 32.511 0.20700000000000002))"],"metadataDate":"2026-06-27T19:07:10.000Z","orcid":["https://orcid.org/0000-0002-6159-2826","https://orcid.org/0000-0002-4047-1216"],"organisation":["Newcastle University","Makerere University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3df031ad-34ec-4abc-8528-f8f20bad12b8","10.5285/3df031ad-34ec-4abc-8528-f8f20bad12b8","doi:10.5285/3df031ad-34ec-4abc-8528-f8f20bad12b8"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/03dmz0111","https://ror.org/04xw4m193"],"shortenedDescription":"Hourly precipitation (mm) recorded at distributed points around Kampala between April 2019 and March 2020. Only timestamps where data were available from all sensors have been included. There are 8094 records in total and no missing values. Timestamps are recorded as…","state":"published","title":"Hourly precipitation data for Kampala, Uganda, 2019-2020","topic":["0/Hydrology/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Met Office"],"authorFamilyName":["George","Weedon","Hayman","Gerard"],"authorFullName":["George, C.T.","Weedon, G.P.","Hayman, G.","Gerard, F.F."],"authorGivenName":["C.T.","G.P.","G.","F.F."],"authorOrcid":["https://orcid.org/0000-0001-6318-2196","https://orcid.org/0000-0003-1262-9984","https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01ch2yn61"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for Meso- and South America. The values given represent a conservative measure of the amplitude after the annual cycle was identified and tested for significance by means of the Lomb-Scargle Transform. The amplitude was derived for four sets of vegtation indices (VI) time-series based on the MODIS VI products (500m MOD13A1; 1000m MOD13A2). The amplitude value can be interpreted as the degree in which the life cycles of individual leaves of plants observed within a pixel are synchronised. In other words, given the local variation in environment and climate and the diversity of species leaf life cycle strategies, an image pixel will represent vegetation communities behaving between two extremes: \n* well synchronized, where the leaf bud burst and senescence of the individual plants within the pixel occurs near simultaneously, yielding a high amplitude value. Often this matches with an area of low species diversity (e.g. arable land) or with areas where the growth of all plants is controlled by the same driver (e.g. precipitation).\n* poorly synchronized, where the leaf bud burst and senescence of individual plants within a pixel occurs at different times of the year, yielding a low amplitude value. Often this matches with an area of high species diversity and/or where several drivers could be controlling growth.","documentType":"GEMINI_DOCUMENT","familyName":["George","Weedon","Hayman","Gerard"],"fullName":["George, C.","George, C.T.","Weedon, G.P.","Hayman, G.","Gerard, F.F."],"givenName":["Charles","C.T.","G.P.","G.","F.F."],"identifier":"dae416b4-3762-45bd-ae14-c554883d482c","incomingCitationCount":1,"keyword":["Phenology","vegetation index (VI)","normalized difference vegetation index (NDVI)","enhanced vegetation index (EVI)"],"keywordsOther":["vegetation index (VI)","normalized difference vegetation index (NDVI)","enhanced vegetation index (EVI)"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"The key underlying method is the Lomb-Scargle (LS) a well established and efficient methodology to analyse time series data. The LS can be used for the detection of regular cycles, even when hidden in a noisy background and when the time series in question contains data gaps. The LS estimates a power spectrum that indicates the average variance in a time series at different time scales or frequencies. Standard linear de-trending of the data before application of the LS allows an analysis of a 'stationary' time series as the mean and variance should ideally be more-or-less constant.\n\nWe used two approaches to evaluate the amplitude values. The first involved comparing the full extent of the amplitude data grids with the independent International Geosphere-Biosphere Programme (IGBP) land cover map. This was done with histograms showing the distribution of the amplitude values found within each of the IGBP cover classes. The second approach compared published in situ site observations that describe canopy leaf life cycles through leaf flushing and falling, LAI and litter fall or other observations, with the corresponding amplitude values of these sites.\n","locations":["POLYGON((-120.685 -58.002, -120.685 33.843, -32.091 33.843, -32.091 -58.002, -120.685 -58.002))"],"metadataDate":"2026-06-29T13:51:35.000Z","orcid":["https://orcid.org/0000-0001-6318-2196","https://orcid.org/0000-0003-1262-9984","https://orcid.org/0000-0001-5916-5174"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Met Office","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dae416b4-3762-45bd-ae14-c554883d482c","10.5285/dae416b4-3762-45bd-ae14-c554883d482c","doi:10.5285/dae416b4-3762-45bd-ae14-c554883d482c"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/01ch2yn61","https://ror.org/04xw4m193"],"shortenedDescription":"The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for…","state":"published","title":"Leaf phenology synchrony for Meso- and South America v2","topic":["0/Phenology/"],"version":2.0,"view":["public","phtr"]},{"authorAffiliation":["University of Aberdeen","Southern Agricultural Research Institute, Ethiopia","The James Hutton Institute"],"authorFamilyName":["Smith","Hallett","Nayak","Boke","Habte","Yakob","Rivington","Phimister"],"authorFullName":["Smith, J.","Hallett, P.","Nayak, D.","Boke, S.","Habte, M.","Yakob, G.","Rivington, M.","Phimister, E."],"authorGivenName":["J.","P.","D.","S.","M.","G.","E."],"authorOrcid":["https://orcid.org/0000-0001-6984-6766","https://orcid.org/0000-0001-7542-7832","https://orcid.org/0000-0002-6483-0113"],"authorRor":["https://ror.org/016476m91","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Measurements were taken in three fertility zones within households in two districts of Halaba in the SNNPR, Ethiopia. Measurements were taken after the El Niño event of 2015/16, so reflect the resilience of different areas of the farm to drought. Measurements are provided at fertility zones home, near and far from the home, and at three depths (0-5cm, 5-10cm and 10-15cm). Measurements included were volumetric water content, more water conductivity, and soil temperature. This dataset was collected as part of the NERC-funded project Building Resilience in Ethiopia's Awassa region to Drought (BREAD).","documentType":"GEMINI_DOCUMENT","familyName":["Smith","Hallett","Nayak","Boke","Habte","Yakob","Rivington","Phimister"],"fullName":["Smith, J.","Hallett, P.","Nayak, D.","Boke, S.","Habte, M.","Yakob, G.","Rivington, M.","Phimister, E."],"funder":["Natural Environment Research Council"],"givenName":["J.","P.","D.","S.","M.","G.","E."],"grant":["NE/P004830/1"],"identifier":"c18a5a8c-a9b0-401d-8784-d03f3c7cd049","incomingCitationCount":0,"keyword":["NE/P004830/1","BREAD","Soil water characteristics","fertility zones within the household"],"keywordsProject":["NE/P004830/1","BREAD"],"keywordsTheme":["Soil water characteristics","fertility zones within the household"],"licence":"Open government licence","lineage":"The measurements were collected from farmers’ fields in Halaba District near Hawassa (SNPPR, Ethiopia), after the drought of 2015 – 2016 (between January 2016 and July 2016). Sampling points were classed as “home”, “near” and “far” from the homestead. This corresponds to fields at increasing distance from the household, but does not equate to a set distance; it is more a reflection of the typical land uses in the fields. Measurements are provided at the three depths, 0-5cm, 5-10cm and 10-15cm. Measurements were collected from fields belonging to farmers with different wealth status (poor medium and rich) in two kebeles (parishes, Konicha and 1st Choroko). ","locations":["POLYGON((33.047 2.108, 33.047 15.708, 48.604 15.708, 48.604 2.108, 33.047 2.108))"],"metadataDate":"2026-06-29T16:56:28.000Z","orcid":["https://orcid.org/0000-0001-6984-6766","https://orcid.org/0000-0001-7542-7832","https://orcid.org/0000-0002-6483-0113"],"organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","University of Aberdeen","Southern Agricultural Research Institute, Ethiopia","The James Hutton Institute"],"publicationDate":"2019-07-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c18a5a8c-a9b0-401d-8784-d03f3c7cd049","10.5285/c18a5a8c-a9b0-401d-8784-d03f3c7cd049","doi:10.5285/c18a5a8c-a9b0-401d-8784-d03f3c7cd049"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/016476m91","https://ror.org/03rzp5127"],"shortenedDescription":"Measurements were taken in three fertility zones within households in two districts of Halaba in the SNNPR, Ethiopia. Measurements were taken after the El Niño event of 2015/16, so reflect the resilience of different areas of the farm to drought. Measurements are provided…","state":"published","title":"Soil water measurements from Ethiopia’s Awassa region during the drought and subsequent floods of 2015-2016","version":1.0,"view":["public","tinzha"]},{"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":["https://orcid.org/0000-0002-6263-6341"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology Research Institute (SMARTRI) and located on the Ujung Tanjung Estate in Riau, Sumatra, Indonesia.  Measurements were made monthly, from October 2018 until September 2019.\n\nA total of 54 static chambers were installed across nine plots, representing three different understory vegetation treatments: normal complexity (an intermediate-level of understory spraying with herbicide); reduced complexity (spraying of all understory vegetation with herbicides); and enhanced complexity (no herbicide spraying and limited understory cutting). Six chambers were installed in each of the nine plots, resulting in 18 replicates of each treatment. In addition, soil moisture measurements were also taken around each chamber.\n\nThe dataset was associated with a foreign research permit, issued by Foreign Research Permit Division Ministry of Research and Technology/National Research and Innovation Agency, Indonesia. As the project spanned two years it was covered by two permits, RISTEK permit number: 323/SIP/FRP/E5/Dit.KI/X/2018 and RISTEK permit number: 8B/TKPIPA/E5/Dit.KI/VIII/2019.","documentType":"GEMINI_DOCUMENT","familyName":["White","Drewer","Sionita","Pujianto"],"fullName":["White, S.","Drewer, J.","Sionita, R.","Pujianto, P."],"funder":["Natural Environment Research Council"],"givenName":["S.","J. ","R. ","P. "],"grant":["NE/R005214/1"],"identifier":"378f028d-ab04-4fa5-a5ca-61f78ea0adb0","incomingCitationCount":0,"keyword":["Riau","Indonesia","Biodiversity","Climate and climate change","Ecosystem services","Agriculture","nitrous oxide","CH4","N2O","CO2","RCFlux","methane","carbon dioxide","greenhouse gas emissions"],"keywordsOther":["nitrous oxide","CH4","N2O","CO2","RCFlux","methane","carbon dioxide","greenhouse gas emissions"],"keywordsPlace":["Riau","Indonesia"],"keywordsTheme":["Biodiversity","Climate and climate change","Ecosystem services","Agriculture"],"licence":"Open government licence","lineage":"The data were collected using the static chamber method. Gas samples were taken from chambers in the field via syringe and injected into vials for storage and later analysis. Samples were analysed on a gas chromatograph (GC) in the laboratory. Concentrations were calculated from GC peak areas, calibrated against standard gases of known concentration. Fluxes were calculated from the concentration change in each chamber by linear and non-linear regression, using the R package RCflux. Fluxes are expressed as micromoles of methane per square metre per second. Each flux has an associated 95 % confidence interval, based on the regression fit, which gives a guide to the reliability and uncertainty of each measurement.\n\nThis work is part of the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) programme, a collaborative research project established in 2012 as a collaboration of the University of Cambridge and Sinar Mas Agro Resources and Technology Research Institute (SMARTRI). This work was funded by the UK Natural Environment Research Council (grant NE/R005214/1).","locations":["POLYGON((99.669 -1.549, 99.669 2.778, 104.106 2.778, 104.106 -1.549, 99.669 -1.549))"],"metadataDate":"2026-06-29T18:08:03.000Z","orcid":["https://orcid.org/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","NERC Environmental Information Data Centre"],"publicationDate":"2020-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/378f028d-ab04-4fa5-a5ca-61f78ea0adb0","10.5285/378f028d-ab04-4fa5-a5ca-61f78ea0adb0","doi:10.5285/378f028d-ab04-4fa5-a5ca-61f78ea0adb0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology…","state":"published","title":"Nitrous oxide and methane fluxes from different understory treatments in oil palm plantations in Riau, Indonesia 2018-2019","topic":["0/Biodiversity/","0/Climate and climate change/","0/Ecosystem services/","0/Agriculture/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter","University of Campinas","University of São Paulo","Museu Paraense Emílio Goeldi","EMBRAPA","Federal University of Para","Australian National University","CREAF"],"authorFamilyName":["Rowland","Oliveira","Bittencourt","Giles","de Britto Costa","Domingues","Ferreira","Vasconcelos","Junior","da Costa","Meir","Mencuccini","Coughlin","Miatto"],"authorFullName":["Rowland, L.","Oliveira, R.S.","Bittencourt, P.R.L.","Giles, A.L.","de Britto Costa, P.","Domingues, T.","Ferreira, L.V.","Vasconcelos, S.S.","Junior, J.A.S.","Oliveira, A.A.R.","da Costa, A.C.L.","Meir, P.","Mencuccini, M.","Coughlin, S.I.","Miatto, R.C."],"authorGivenName":["L.","R.S.","P.R.L.","A.L.","P.","T.","L.V.","S.S.","J.A.S.","A.A.R.","A.C.L.","M.","S.I.","R.C."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/036rp1748","https://ror.org/010gvqg61","https://ror.org/0482b5b22","https://ror.org/03q9sr818","https://ror.org/019wvm592","https://ror.org/03abrgd14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"A data set consisting of seventeen functional traits collected on 43 saplings from a Control and 33 saplings from a long-term drought experiment site in a tropical rainforest in NE Amazonia, Brazil. The experiment was designed to exclude 50% of the incoming rainfall to the soil and was conducted over a 1ha area, alongside the experiment there is a control (non- drought plot) of a corresponding size.\n\nThe samples were collected in 2017, fifteen years after the start of the experiment on trees with a diameter at breast height (1.3m) of 1-10cm. The purpose of the dataset was to assess if traits relating to plant metabolism (photosynthesis and respiration) and plant hydraulic processes had been significantly altered in trees growing under drought conditions.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Oliveira","Bittencourt","Giles","de Britto Costa","Domingues","Ferreira","Vasconcelos","Junior","da Costa","Meir","Mencuccini","Coughlin","Miatto"],"fullName":["Rowland, L.","Oliveira, R.S.","Bittencourt, P.R.L.","Giles, A.L.","de Britto Costa, P.","Domingues, T.","Ferreira, L.V.","Vasconcelos, S.S.","Junior, J.A.S.","Oliveira, A.A.R.","da Costa, A.C.L.","Meir, P.","Mencuccini, M.","Coughlin, S.I.","Miatto, R.C."],"funder":["Natural Environment Research Council"],"givenName":["L.","R.S.","P.R.L.","A.L.","P.","T.","L.V.","S.S.","J.A.S.","A.A.R.","A.C.L.","M.","S.I.","R.C.","Lucy"],"grant":["NE/N014022/1"],"identifier":"ca147ac9-ac68-4348-b5f0-dcd483ef3a85","incomingCitationCount":0,"keyword":["Plant hydraulics","Through-fall exclusion experiment","leaf","respiration","photosynthesis","tropical forest","drought"],"keywordsOther":["Plant hydraulics","Through-fall exclusion experiment","leaf","respiration","photosynthesis","tropical forest","drought"],"licence":"Open government licence","lineage":"The data was from August to September (dry season) in 2017. In total twenty species from nine genera were sampled, with replication at genera level on the drought and control plot. For each individual, we collected two branches from the top of the crown, representing the point maximally exposed to light and the 17 traits were measured off these two branches. The quality control processes were trait specific and the related papers detail how this was done.","locations":["POLYGON((-51.264 -1.462, -51.264 -1.324, -51.086 -1.324, -51.086 -1.462, -51.264 -1.462))"],"metadataDate":"2026-06-29T16:37:14.000Z","organisation":["University of Exeter","University of Campinas","University of São Paulo","Museu Paraense Emílio Goeldi","EMBRAPA","Federal University of Para","Australian National University","CREAF","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ca147ac9-ac68-4348-b5f0-dcd483ef3a85","10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85","doi:10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/036rp1748","https://ror.org/010gvqg61","https://ror.org/0482b5b22","https://ror.org/03q9sr818","https://ror.org/019wvm592","https://ror.org/03abrgd14","https://ror.org/04xw4m193"],"shortenedDescription":"A data set consisting of seventeen functional traits collected on 43 saplings from a Control and 33 saplings from a long-term drought experiment site in a tropical rainforest in NE Amazonia, Brazil. The experiment was designed to exclude 50% of the incoming rainfall…","state":"published","supplementalDescription":["Bartholomew et al. Small tropical forest trees have a greater capacity to adjust carbon metabolism to long-term drought than large canopy trees. Plant Cell and Environment 43(10) 2380-2393","Giles et al (2022) Small understorey trees have greater capacity than canopy trees to adjust hydraulic traits following prolonged experimental drought in a tropical forest. Tree Physiology 42 (3) 537-556"],"title":"Traits data from juvenile trees exposed to a 50% reduction in canopy throughfall at the Caxiuan drought experiment, Brazil, 2017","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Leeds","S.R.U.C.","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Young","Martin-Ortega","Glenk","Baird","Jones","Rowe","Evans","Dallimer","Reed"],"authorFullName":["Young, D.M.","Martin-Ortega, J.M.","Glenk, K.","Baird, A.J.","Jones, L.","Rowe, E.","Evans, C.D.","Dallimer, M.","Reed, M."],"authorGivenName":["D.M.","J.M.","K.","A.J.","L.","E.","C.D.","M."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog  run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches were added and the model allowed to run for a further 100 years. After this time, the ditches were ‘restored’ and the simulation continued until a total runtime of 5,100 years had elapsed.","documentType":"GEMINI_DOCUMENT","familyName":["Young","Martin-Ortega","Glenk","Baird","Jones","Rowe","Evans","Dallimer","Reed"],"fullName":["Young, D.M.","Martin-Ortega, J.M.","Glenk, K.","Baird, A.J.","Jones, L.","Rowe, E.","Evans, C.D.","Dallimer, M.","Reed, M.","Young, D."],"funder":["Natural Environment Research Council"],"givenName":["D.M.","J.M.","K.","A.J.","L.","E.","C.D.","M.","Dylan"],"grant":["NE/P00783X/1"],"identifier":"1d16b303-ca1d-43b4-93b1-c8172adc9792","incomingCitationCount":0,"keyword":["Blanket peat","DigiBog","Economic valuation","water table","peat"],"keywordsOther":["Blanket peat","DigiBog","Economic valuation","water table","peat"],"licence":"Open government licence","lineage":"The virtual peatland was set up with driving data and an underlying topography to represent a typical UK blanket peatland. The aim of the simulation was not to replicate peatland development at a specific location, but to create an analogue for blanket peat.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:10:38.000Z","organisation":["University of Leeds","S.R.U.C.","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1d16b303-ca1d-43b4-93b1-c8172adc9792","10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792","doi:10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog  run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches…","state":"published","supplementalDescription":["Young, D. M., A. J. Baird, P. J. Morris, and J. Holden (2017). Simulating the long-term impacts of drainage and restoration on the ecohydrology of peatlands. Water Resources Research, 53(8), 6510–6522.","DigiBog website "],"title":"Simulated peat heights and water-table depths for UK blanket bog","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of the West of England"],"authorFamilyName":["Willey","Siasou"],"authorFullName":["Willey, N.","Siasou, E."],"authorGivenName":["N.","E."],"authorOrcid":["https://orcid.org/0000-0003-3421-531X"],"authorRor":["https://ror.org/02nwg5t34"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are activity concentrations of Tc-99 and Se-75 in 61 species of flowering plants after exposure under similar controlled conditions.  Species selection was focussed on a hierarchical, taxonomic spread across the herbaceous flora of the British Isles. Individual plants were grown in pots, with supplementary lighting and heating, until they reached the exponential phase of their growth.  They were then radiobelled by addition of 109kBq/L Tc-99 and 95kBq/L Se-75. After 48h exposure, aboveground biomass and compost samples were taken and analysed for Tc-99 and Se-75.  These data helped refine estimates of Concentration Ratios for use in radioecological modelling and were generated as part of NERC grant number NE/L000342/1.","documentType":"GEMINI_DOCUMENT","familyName":["Willey","Siasou"],"fullName":["Willey, N.","Siasou, E."],"funder":["Natural Environment Research Council","Radioactive Waste Management Ltd","Environment Agency"],"givenName":["N.","E."],"grant":["NE/L000342/1"],"identifier":"e5122291-b5e2-47de-bf14-db67125f4c14","incomingCitationCount":0,"keyword":["radioecology","plant uptake","plant contaminants","mineral nutrition","ecological stoichiometry"],"keywordsOther":["radioecology","plant uptake","plant contaminants","mineral nutrition","ecological stoichiometry"],"licence":"Open government licence","lineage":"The data are primary data generated via an experiment as part of a NERC project.  Previous experiments in our research group had shown that acute exposures of plants to radionuclides could generate concentration ratios that were useful for estimated differences between taxonomic groups.  The activity concentrations used were those that generated easily measured activity concentrations in plants after acute exposure. The radionuclide activities were measured by beta (Tc-99) and gamma spectrometry (Se-75).  The data was for use in a phylogenetic analysis of the differences in concentration ratio.","metadataDate":"2026-06-29T16:25:05.000Z","orcid":["https://orcid.org/0000-0003-3421-531X"],"organisation":["University of the West of England","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-06-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e5122291-b5e2-47de-bf14-db67125f4c14","10.5285/e5122291-b5e2-47de-bf14-db67125f4c14","doi:10.5285/e5122291-b5e2-47de-bf14-db67125f4c14"],"resourceType":"Non-geographic dataset","rightsHolder":["University of the West of England"],"ror":["https://ror.org/02nwg5t34","https://ror.org/04xw4m193"],"shortenedDescription":"The data are activity concentrations of Tc-99 and Se-75 in 61 species of flowering plants after exposure under similar controlled conditions.  Species selection was focussed on a hierarchical, taxonomic spread across the herbaceous flora of the British Isles. Individual…","state":"published","title":"Technetium and radioselenium activity concentrations following exposure in 61 species of flowering plant under controlled conditions","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Harris","Harrower","Lowe","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harris, S.","Harrower, C.","Lowe, M.","Roy, D.B."],"authorGivenName":["M.S.","I.","S.","C.","M.","D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to the present year), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species).\n\nTrends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year.\n\nTrends across different time series allow us to determine the long and short-term status of individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\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\n#Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Harris","Harrower","Lowe","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harris, S.","Harrower, C.","Lowe, M.","Roy, D.B.","Botham, M."],"funder":["Natural Environment Research Council"],"givenName":["M.S.","I.","S.","C.","M.","D.B.","Marc"],"grant":["NE/R016429/1"],"identifier":"512a71c7-dd2e-4caf-b0db-702b711bd153","incomingCitationCount":0,"keyword":["Biodiversity","England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","lepidopteran","butterfly","biodiversity"],"keywordsOther":["England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","lepidopteran","butterfly","biodiversity"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Indices are calculated for all species (across Wider Countryside Butterfly Survey squares and traditional UKBMS sites) using the Generalised Abundance Index (GAI) method developed in 2016 with an additional modification that the data from each site in each year is weighted in the final stage relative to the proportion of the species flight period surveyed that year for that site. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which there was sufficient data available, the starting year for the series is later than 1976 for a number of rarer species.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:01:52.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","Natural Environment Research Council","Joint Nature Conservation Committee"],"publicationDate":"2022-11-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/512a71c7-dd2e-4caf-b0db-702b711bd153","10.5285/512a71c7-dd2e-4caf-b0db-702b711bd153","doi:10.5285/512a71c7-dd2e-4caf-b0db-702b711bd153"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series…","state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: species trends 2021","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=5&facet=availability%7CAvailable"}