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These data were collected to show the relationship between the changing nutrient loads and subsequent organic carbon burial over the last 120 years. The sediment trap data cover the period from May 2010 to August 2016, while the sediment core was taken in September 2011 and has been 210Pb dated to circa 1360AD. All data is presented for date, loss-on-ignition (LOI) and calcium carbonate (CaCO3), with sediment trap data converted into net flux measurements and sediment core data calculated for net sedimentation rate following 210Pb dating. The conversion from LOI to total organic carbon was measured using mass spectrometry and applied to the trap and core data. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with part of the work also funded by the NERC small grant [grant number NE/H011978/1].","documentType":"GEMINI_DOCUMENT","familyName":["Radbourne","Ryves","Anderson","Scott"],"fullName":["Radbourne, A.R.","Ryves, D.B.","Anderson, N.J.","Scott, D.R.","Radbourne, A."],"funder":["Natural Environment Research Council"],"givenName":["A.R.","D.B.","N.J.","D.R.","Alan"],"grant":["NE/L002493/1","NE/H011978/1"],"identifier":"8616c1a0-6c6d-441c-9b10-8464dc4ee346","incomingCitationCount":1,"keyword":["Sediment traps","Rostherne Mere","recovery","Sediment core","Burial efficiency","nutrient","organic carbon","eutrophication"],"keywordsInstrument":["Sediment traps"],"keywordsOther":["recovery","Sediment core","Burial efficiency","nutrient","organic carbon","eutrophication"],"keywordsPlace":["Rostherne Mere"],"licence":"Open government licence","lineage":"Sediment trapping using two sequencing traps at 10 m and 25 m water depth was carried out at Rostherne Mere from May 2010 to September 2016. The traps sequentially opened into 12 individual 250 ml HDPE bottles, each representing a two-week collection period (except in January and February longer collection periods of up to four weeks were used). The traps were reset every six months as dictated by the trapping interval used, with trap sediment kept cool, dark and sealed during transport to the laboratory where it was stored frozen prior to analysis. A 112cm long sediment core was collected at 26 m water depth in September 2011 using a Livingstone piston corer. The sealed core was transported vertically to the laboratory, and stored vertically in a dark cold room at 5°C, prior to extrusion at 1cm intervals for the upper 50cm of sediment, and then at 0.5cm intervals for the remainder of the core. Mass-spectrometry elemental analysis was conducted for 23 sediment samples from a combination of sediment core and sediment trap sources. A range of organic matter percentage (OM%) samples were selected to generate an estimated OM to total organic carbon (TOC) conversion, specifically for application to Rostherne Mere sediment samples. The data was collated to Excel spreadsheets held by the lead author at Loughborough University. For ingestion into the Environmental Information data was extracted from the Excel spreadsheets and converted into a comma separated file. ","locations":["POLYGON((-2.397 53.346, -2.397 53.36, -2.369 53.36, -2.369 53.346, -2.397 53.346))"],"metadataDate":"2026-07-25T08:38:29.000Z","orcid":["0000-0003-3167-5783","0000-0002-0037-0306"],"organisation":["Loughborough University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8616c1a0-6c6d-441c-9b10-8464dc4ee346","10.5285/8616c1a0-6c6d-441c-9b10-8464dc4ee346","doi:10.5285/8616c1a0-6c6d-441c-9b10-8464dc4ee346"],"resourceType":"Dataset","ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes sediment trap, sediment core and loss-on-ignition to total organic carbon measurements from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between the changing nutrient loads and subsequent…","state":"published","title":"Organic carbon burial calculation using sediment trap and sediment core records from Rostherne Mere, Cheshire, UK (1360-2016)","version":1.0,"view":["public","jgar"]},{"availability":"Available","catalogue":"eidc","description":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This dataset consists of 1km percentages per Target Class. Northern Ireland only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["Dan"],"identifier":"d1775d53-f51f-4d87-a774-41c992750d90","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-08-12T11:39:35.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d1775d53-f51f-4d87-a774-41c992750d90"],"resourceType":"Service","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from…","state":"published","title":"Land Cover Map 2007 (1km percentage target class, N. Ireland) Web Map Service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Norris","Harvey","Winterbourn","Lebron","Thacker","Lawlor","Carter","Guyatt","Keenan","Pereira","Pinder","Hughes","Fitos","Brooks","Cosby"],"authorFullName":["Norris, D.A.","Harvey, R.","Winterbourn, J.B.","Lebron, I.","Thacker, S.A.","Lawlor, A.J.","Carter, H.T.","Guyatt, H.","Keenan, P.O.","Pereira, M.G.","Pinder, A.P.","Hughes, S.","Fitos, E.","Brooks, M.R.","Cosby, B.J."],"authorGivenName":["D.A.","R.","J.B.","I.","S.A.","A.J","H.T.","H","P.O.","M.G.","A.P.","S.","E.","M.R.","B.J."],"authorOrcid":["0000-0001-8298-555X","0000-0002-1318-5281","0000-0001-8610-9717","0000-0002-9494-6272","0000-0002-7439-0393","0000-0001-5645-3373"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2016 to March 2019. Sampling was carried out fortnightly from March 2016 to July 2017. From August 2017 to November 2018 stream samples were collected every four weeks and the rain sample every two weeks. From December 2018 onwards all samples were collected every four weeks. Data are presented for major anions and cations, pH, conductivity, alkalinity, in-situ measurements of water temperature and stream flow for the six stream locations, and air temperature and volume for the rainfall sites.\n\nStream samples were taken using a grab technique and filtered in the field. Rain samples were collected using bulk precipitation collectors. Fieldwork was carried out by CEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified CEH chemists at laboratories at CEH Lancaster and CEH Bangor.\n\nThe Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968.","documentType":"GEMINI_DOCUMENT","familyName":["Norris","Harvey","Winterbourn","Lebron","Thacker","Lawlor","Carter","Guyatt","Keenan","Pereira","Pinder","Hughes","Fitos","Brooks","Cosby"],"fdriCatchment":["Upper Severn"],"fdriCategory":["Meteorology","Hydrology"],"fullName":["Norris, D.A.","Harvey, R.","Winterbourn, J.B.","Lebron, I.","Thacker, S.A.","Lawlor, A.J.","Carter, H.T.","Guyatt, H.","Keenan, P.O.","Pereira, M.G.","Pinder, A.P.","Hughes, S.","Fitos, E.","Brooks, M.R.","Cosby, B.J."],"funder":["Natural Environment Research Council"],"givenName":["D.A.","R.","J.B.","I.","S.A.","A.J","H.T.","H","P.O.","M.G.","A.P.","S.","E.","M.R.","B.J."],"grant":["NE/R016429/1"],"identifier":"54fe47f3-778e-4e0b-8cf5-b2fda2473b7f","incomingCitationCount":0,"keyword":["Plynlimon","Hafren","Severn","Gwy","Wye","Upper Severn","UK-SCAPE","Floods and Droughts Digital Research Infrastructure (FDRI)","Hydrology","Stream","Bulk precipitation","Rainfall","atmospheric precipitation","Meteorology"],"keywordsOther":["Stream","Bulk precipitation","Rainfall","atmospheric precipitation","Meteorology","Hydrology"],"keywordsPlace":["Plynlimon","Hafren","Severn","Gwy","Wye","Upper Severn"],"keywordsProject":["UK-SCAPE","Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Sampling was carried out fortnightly from March 2016 to July 2017. From August 2017 to November 2018 stream samples were collected every four weeks and the rain sample every two weeks. From December 2018 onwards samples were collected every four weeks. Stream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Stream flow is calculated from dip measurements taken at the time of sampling. Standard rainfall collectors are used to measure rainfall volume.\n\nUpon return to the CEH Bangor laboratories the cation samples were acidified with concentrated Nitric Acid (to 1 percent) to preserve the samples. Samples for anion and cation sample were then stored at 4 degrees Celsius until they could be transported to the Centralised Analytical Chemistry Group in CEH Lancaster for analysis. Results were reported back to CEH Bangor as Excel spreadsheets. These data were then imported into an Access database.\n\npH, conductivity and alkalinity analysis was carried out the CEH Bangor laboratories. Results were reported back as Excel spreadsheets. Field measurements and flow calculations were also added to these Excel spreadsheets. These data were then imported into the same Access database as the CEH Lancaster results.\n\nFor ingestion into the Environmental Information data was extracted from the Access database and converted into a comma separated value file.","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-09-03T14:22:30.000Z","orcid":["0000-0001-8298-555X","0000-0002-1318-5281","0000-0001-8610-9717","0000-0002-9494-6272","0000-0002-7439-0393","0000-0001-5645-3373"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54fe47f3-778e-4e0b-8cf5-b2fda2473b7f","10.5285/54fe47f3-778e-4e0b-8cf5-b2fda2473b7f","doi:10.5285/54fe47f3-778e-4e0b-8cf5-b2fda2473b7f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from March 2016 to March 2019. Sampling was carried out fortnightly from March 2016 to July 2017. From August 2017 to November 2018…","state":"published","title":"Plynlimon research catchment hydrochemistry (2016-2019)","topic":["0/Hydrology/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["US Forest Service","University of Nottingham","Portland State University","Colorado State University"],"authorFamilyName":["Claeson","Dugdale","Edwards","Field","Flitcroft","Johnson","Meyer","Mariani","Means-Brous","Mickelson","Pugh","Schrodt","Thorne"],"authorFullName":["Claeson, S.","Dugdale, S.J.","Edwards, P.","Field, R.","Flitcroft, R.","Johnson, M.","Meyer, K.","Mariani, M.","Means-Brous, M.","Mickelson, E.","Pugh, B.","Schrodt, F.","Thorne, C."],"authorGivenName":["S.","S.J.","P.","R.","M.","K.","E.","B.","F.","C."],"authorRor":["https://ror.org/03zmjc935","https://ror.org/01ee9ar58","https://ror.org/00yn2fy02","https://ror.org/03k1gpj17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise macroinvertebrate count data (identified to species level), trait and classification information, as well as information on macroinvertebrate biomass and site-specific observations (e.g. canopy cover, habitat type, etc.) collected from the South Fork McKenzie river, Oregon, USA in Autumn 2019 and 2020, and winter of 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from restored and unrestored river reaches to quantify the difference in the response of benthic macroinvertebrate response to wildfire.\n\nThe study was conducted by the University of Nottingham, with data collected by partners from the US Forest Service, Portland State University, Washington State University and Colorado State University. The work was funded by the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","familyName":["Claeson","Dugdale","Edwards","Field","Flitcroft","Johnson","Meyer","Mariani","Means-Brous","Mickelson","Pugh","Schrodt","Thorne"],"fullName":["Claeson, S.","Dugdale, S.J.","Edwards, P.","Field, R.","Flitcroft, R.","Johnson, M.","Meyer, K.","Mariani, M.","Means-Brous, M.","Mickelson, E.","Pugh, B.","Schrodt, F.","Thorne, C.","Dugdale, S."],"givenName":["S.","S.J.","P.","R.","M.","K.","E.","B.","F.","C.","Stephen"],"identifier":"50119e9c-b6d9-4b72-98c9-588ca1d7c6fe","incomingCitationCount":0,"keyword":["Macroinvertebrate","South Fork Mckenzie","Stage zero","River restoration","Wildfire"],"keywordsOther":["Macroinvertebrate","South Fork Mckenzie","Stage zero","River restoration","Wildfire"],"licence":"Open government licence","lineage":"Benthic macroinvertebrates (BMI) were collected using a one foot sampling net. Ten samples were collected at each site along a transect across the river channel. Samples collected equidistantly along the transect (selected by eye) irrespective of transect length. Filamentous algae was not filtered from nonstock and was defined as all floating/rooted within the water identified by a visual assessment (i.e. not diatoms).\n\nBMI wood defined as a sample within one foot of a large woody object (wood influenced). Samples were sorted, identified and individuals measured (body length) by Bob Wisseman (Aquatic Biology Associates, Inc. Corvallis, OR, USA).","locations":["POLYGON((-122.29 44.13, -122.29 44.16, -122.23 44.16, -122.23 44.13, -122.29 44.13))"],"metadataDate":"2026-07-24T23:02:41.000Z","organisation":["US Forest Service","University of Nottingham","Portland State University","Colorado State University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-03-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/50119e9c-b6d9-4b72-98c9-588ca1d7c6fe","10.5285/50119e9c-b6d9-4b72-98c9-588ca1d7c6fe","doi:10.5285/50119e9c-b6d9-4b72-98c9-588ca1d7c6fe"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/03zmjc935","https://ror.org/01ee9ar58","https://ror.org/00yn2fy02","https://ror.org/03k1gpj17","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise macroinvertebrate count data (identified to species level), trait and classification information, as well as information on macroinvertebrate biomass and site-specific observations (e.g. canopy cover, habitat type, etc.) collected from the South Fork McKenzie…","state":"published","title":"Macroinvertebrate data from the South Fork McKenzie River in Oregon, USA before and after a wildfire event, 2019 to 2021","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["University of East Anglia","University of Cambridge "],"authorFamilyName":["Barnsley","Lovett","Dicks"],"authorFullName":["Barnsley, S.B.","Lovett, A.A.","Dicks, L.V."],"authorGivenName":["S.B.","A.A.","L.V. "],"authorOrcid":["0000-0002-7006-5390","0000-0003-0554-9273","0000-0002-8304-4468"],"authorRor":["https://ror.org/026k5mg93","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile","TIFF"],"description":"Data presented here include imagery with ground-sampling distances of 3 cm and 7 cm for March 2019, May 2019 and July 2019. Also included are the corresponding ground-truth training and verification data presented as shapefiles, as well as the classification output and other data relevant to the project such as the width of floral units.\n\nThe imagery was acquired by Spectrum Aviation using A6D-100c (50mm) Hasselblad cameras with bayer filters, mounted on a Sky Arrow 650 manned aircraft. Ground-truth data for training maximum likelihood classifications and for verifying the accuracy of classifications were gathered within eight days of imagery acquisition. Ground-truth data were acquired from sown field margins and hedgerow surrounding one study field.\n\nThis dataset was acquired from March to July 2019 at a farm in Northamptonshire, UK. Data were acquired as part of a NERC funded iCASE PhD studentship (NERC grant NE/N014472/1) based at the University of East Anglia and in collaboration with Hutchinsons Ltd. The aim of the research was to map the floral units of five nectar-rich flowering plant species using very high resolution multispectral imagery. Each species constitutes an important food resource for pollinators. The plant species in question were Prunus spinosa, Crataegus monogyna, Silene dioica, Centaurea nigra and Rubus fruticosus.","documentType":"GEMINI_DOCUMENT","familyName":["Barnsley","Lovett","Dicks"],"fullName":["Barnsley, S.B.","Lovett, A.A.","Dicks, L.V.","Barnsley, S."],"funder":["Natural Environment Research Council"],"givenName":["S.B.","A.A.","L.V. ","S."],"grant":["NE/N014472/1"],"identifier":"cf68be0c-e969-4190-8ec6-abeedb51b42c","incomingCitationCount":1,"keyword":["DeWALT laser beam measure","Environmental survey","Land cover","Pollinators","semi-automatic classification ","SCP plugin","QGIS version 3.4.15 ","Silene dioica","Centaurea nigra","Rubus fruticosus","Crataegus monogyna","Prunus spinosa","hedgerow","red campion","hawthorn","bramble","blackthorn","common knapweed","hardhead"],"keywordsInstrument":["DeWALT laser beam measure"],"keywordsOther":["semi-automatic classification ","SCP plugin","QGIS version 3.4.15 ","Silene dioica","Centaurea nigra","Rubus fruticosus","Crataegus monogyna","Prunus spinosa","hedgerow","red campion","hawthorn","bramble","blackthorn","common knapweed","hardhead"],"keywordsTheme":["Environmental survey","Land cover","Pollinators"],"licence":"Open government licence","lineage":"Multispectral data were acquired across red, green, blue and near-infrared bands on 28 March, 15 May and 4 July. Prior to imagery acquisition, 40X60cm boards that were visible within the imagery were established within the margins surrounding one field at our study farm. These were used as ground-control points to locate clusters of floral units within the margins. Ground-truth data (i.e. the locations of floral units) were gathered within 8 days of imagery acquisition.\n\nThe company that acquired the multispectral data (Spectrum Aviation) carried out orthorectification and stitched individual images together into an orthomosaic. Data values were kept in a raw digital number format.\n\n Between July 2019 and February 2021, further image processing, e.g. clipping of the image and removal of irrelevant spectral bands was carried out in QGIS. During the same timeframe, ground-truth data were divided into data to be used for training the classifications and for carrying out independent accuracy assessments. The maximum likelihood classifications were applied to the imagery with different iterations applied each time, i.e. the training sets were tweaked to increase classification accuracies. ","locations":["POLYGON((-0.824 52.245, -0.824 52.308, -0.711 52.308, -0.711 52.245, -0.824 52.245))"],"metadataDate":"2026-07-25T14:07:14.000Z","orcid":["0000-0002-7006-5390","0000-0003-0554-9273","0000-0002-8304-4468"],"organisation":["University of East Anglia","University of Cambridge ","NERC EDS Environmental Information Data Centre","University of Cambridge"],"publicationDate":"2021-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cf68be0c-e969-4190-8ec6-abeedb51b42c","10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c","doi:10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c"],"resourceType":"Dataset","rightsHolder":["University of East Anglia","University of Cambridge"],"ror":["https://ror.org/026k5mg93","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"Data presented here include imagery with ground-sampling distances of 3 cm and 7 cm for March 2019, May 2019 and July 2019. Also included are the corresponding ground-truth training and verification data presented as shapefiles, as well as the classification output…","state":"published","title":"Multispectral airborne imagery and associated classifications, training data and validation data, for mapping nectar-rich floral resources for pollinators, Northamptonshire, UK 2020","topic":["0/Environmental survey/","0/Land cover/","0/Pollinators/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Blyth"],"authorFullName":["Blyth, K."],"authorGivenName":["K."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Soil moisture and Electrical Resistivity Tomography (ERT) measurements within the top metre of soil at Church Field, Chimney Meadow National Nature Reserve. Church Field lies on a clay lens which overlies surrounding sand and gravel soils. Apart from the A and B horizons, the clay was found to be fairly homogenous down to the maximum depth of 1.1m of the access pit. On the 1:250,000 Soil Map of South East England the location falls into the soils category 832 Kelmscott Association which comprise mostly permeable fine loamy soils over limestone gravel and variably affected by groundwater and with some risk of flooding. However, on the more detailed 1:25,000 scale Sand and Gravel Resources Map of the Thames Valley the clay lens is depicted as Oxford Clay substrate without sand and gravel cover, surrounded by sand and gravel terraces cropping out at the surface.","documentType":"GEMINI_DOCUMENT","familyName":["Blyth","Stratford"],"fullName":["Blyth, K.","Stratford, C."],"givenName":["K.","C."],"identifier":"59da8e86-04cc-4f46-a23c-65513d025326","incomingCitationCount":1,"keyword":["Chimney Meadow","Oxfordshire","Soil","soil water"],"keywordsOther":["soil water"],"keywordsPlace":["Chimney Meadow","Oxfordshire"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data collected in the field by CEH. Samples were collected from a soil pit dug 13.75m from the north end of the ERT transect and offset 1.0m to the west of the transect line. Fixed volume soil samples were collected in stainless steel rings of dimension 100mm deep x 99mm I.D. at sample depth in increments of 10cm up to 1.0m. At each depth, two samples were collected. The samples were stood in a water bath until they reached an equilibrium (saturated) weight. The samples were then placed in (1) a sand bath (2) a sand/kaolin bath (3) pressure vessels set at a range of suctions in order to progressively dry out the samples. Water-release curves were constructed for each soil level. ","locations":["POLYGON((-1.51 51.693, -1.51 51.711, -1.459 51.711, -1.459 51.693, -1.51 51.693))"],"metadataDate":"2026-09-02T13:47:47.000Z","organisation":["Natural Environment Research Council","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-09-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1317996491250","CEH:EIDC::1317996491250","https://catalogue.ceh.ac.uk/id/59da8e86-04cc-4f46-a23c-65513d025326","10.5285/59da8e86-04cc-4f46-a23c-65513d025326","doi:10.5285/59da8e86-04cc-4f46-a23c-65513d025326"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Soil moisture and Electrical Resistivity Tomography (ERT) measurements within the top metre of soil at Church Field, Chimney Meadow National Nature Reserve. Church Field lies on a clay lens which overlies surrounding sand and gravel soils. Apart from the A and B horizons,…","state":"published","title":"Chimney Meadow (Church Field) soil water retention measurements (pF curves)","topic":["0/Soil/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","Environment Agency","Agricultural University of Athens"],"authorFamilyName":["Ainsworth","Keller","Bachiller- Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"authorFullName":["Ainsworth, R.F.","Keller, V.","Bachiller- Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"authorGivenName":["R.F.","V.","Nuria","M.D.","M.","D.","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"authorOrcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/00pggkr55","https://ror.org/03ykbk197","https://ror.org/01ch2yn61","https://ror.org/01zewfb16","https://ror.org/03xawq568"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains a time series of species-specific fish abundances and covariates for 1180 fish sites in English rivers. Sites with at least ten annual fish surveys in the Environment Agency’s (EA) National Fish Population Database (NFPD) between 1975 and 2017 inclusive were selected. Covariate data include habitat quality indicators (River Habitat Survey and HABSCORE outputs), climatic variables (Gulf Stream and North Atlantic Oscillation indices), land-use change, river hydrology, water temperature, effluent dilution factor and concentrations of chemical determinands.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S000100/2).","documentType":"GEMINI_DOCUMENT","familyName":["Ainsworth","Keller","Bachiller- Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"fullName":["Ainsworth, R.F.","Keller, V.","Bachiller- Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"funder":["Natural Environment Research Council"],"givenName":["R.F.","V.","Nuria","M.D.","M.","D.","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"grant":["NE/S000100/2"],"identifier":"b0afb78e-a0cb-4762-9220-659211ae3a5e","incomingCitationCount":0,"keyword":["Pollution","pollution","hydrology","river","NFPD","Freshwater fish","Juvenile fish densities and pollution in English rivers","fish","land-use change","land use","Larval fish densities and pollution in English rivers","Larval fish densities","Fish ecology"],"keywordsOther":["pollution","hydrology","river","NFPD","Freshwater fish","Juvenile fish densities and pollution in English rivers","fish","land-use change","land use","Larval fish densities and pollution in English rivers","Larval fish densities","Fish ecology"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Fish Data\nSpecies-specific abundances in English rivers were acquired from the Environment Agency's National Fish Population Database (NFPD), focusing on sites surveyed at least 10 times between 1975 and 2017. Raw fish counts were transformed into densities, with only semi-quantitative surveys (single catch) and the initial catch from quantitative surveys (multiple catch) considered. Qualitative surveys were excluded due to insufficient sampling information. Standard counts were available in the majority of cases. Abundance values were standardized by taking the midpoint of logarithmic ranges (e.g., 5, 55, 550, 5500) for different abundance categories. Densities were then calculated by dividing the standardized abundance by the sampling area and multiplying by 100 (units = 100 m-2). Species in the NFPD dataset were assigned Chempop Species Codes adapted from EA species codes, and when multiple EA species codes matched one Chempop Species Code, their densities were summed for each survey. Data without a Chempop species code (e.g., hybrids or broad categories like \"all species\") were removed, while surveys with zero fish captures were retained in the dataset.\n\nHabitat Quality indicators\nHabitat scores were obtained from the Environment Agency's River Habitat Survey (RHS) dataset, with ArcGIS used to link fish sites to their nearest RHS site. Two key scores were extracted: the Habitat Modification Score (HMS), which reflects the degree of artificial channel modification, and the Habitat Quality Assessment (HQA), which provides a broad assessment of habitat quality based on the diversity and abundance of natural features in the river channel and riparian zone. The HQA is suitable for comparing similar river types. To enable comparisons with data from 1994, new rules for flow-types and channel vegetation were established and applied across all sites, resulting in the HQA adjusted for 1994 data. The most recent RHS survey data was extracted for this analysis.\nHABSCORE is a method for evaluating Atlantic salmon (Salmo salar L.) and brown trout (Salmo trutta L.) habitat, generating a Habitat Quality Score (HQS) that quantifies habitat quality in terms of expected fish density at a site (100m-2). These assessments are conducted alongside salmonid surveys, but their frequency is generally lower, and the spatial coverage is dependent on the presence of salmon or trout. HABSCORE data, provided by the Environment Agency as Excel files, was extracted for relevant sites and survey dates, supplemented with historical HABSCORE data held by UoH for the same sites.\n\nLand Use\nLand use in the catchment upstream of fish sites (NFPD) were calculated from the Land Cover Map 2015 (25m raster, GB). The 21 land cover types were grouped to cover four broad categories of: Woodland, Arable, Seminatural and Urban. The catchment tool in DataLabs was used to extract and process the data, which were summed into percentage and areas of each land use group. The sum of the percentages of the grouped categories were checked and were found to fall in the range of 99.96-100.04 %. \n\nWater Temperature\nTo assess its influence on fish growth, the cumulative annual degree-days ≥12°C, indicating the total temperature sum for days exceeding 12°C in the year prior to the survey date, was calculated. Water temperature data was sourced from the EA Surface Water Temperature Archive for sites with at least 3 years of records, and daily mean air temperature was collected from the Climate Hydrology and Ecology Research Support System (CHESS). The Baseflow Index for each water temperature gauging station and fish site was determined using the UKCEH National River Flow Archive. Generalized additive mix modeling (GAMM) was chosen to model water temperature, accounting for seasonal and year-to-year variation in water temperature, along with the nonlinear relationship between air and water temperature. Seven GAMM models, each covering a 0.1 BFI range, were developed, with the best model (Model: month, time, and air temperature, using ARMA structures) identified based on evaluation metrics like RMSE, NRMSE, and SI. This model was employed to estimate water temperature for fish sites.\n\nRiver Flow\nRiver flow data was sourced from the National River Flow Archive (NRFA) hosted by UKCEH and matched with fish sites based on the shortest distance along the river network. Data was extracted for the 12 months leading up to each fish survey, and various statistics were computed, including mean, median, standard deviation, coefficient of variation, Q5/mean, and Q95/mean. Additionally, threshold statistics were calculated for different percentiles (5, 25, 75, and 95), encompassing the threshold discharge value (estimated discharge quantile), days exceeded, number of exceedance events, and average event length.\n\nWater Quality-Effluent dilution factor\nTo gauge river pollution levels across England, the study used the LowFlows2000-WQX (lowFlows2000 Water Quality eXtension) model, which characterizes wastewater discharge by wastewater treatment works (WWTWs) in terms of location, domestic population served, dry weather flow (DWF), and treatment type. It's important to note that only significant WWTWs were considered for computational purposes, based on specific criteria: those in catchments contributing to 95% of each hydrometric area and those accounting for 95% of the total discharged DWF to the estuary, ranked by DWF. The model produced predicted wastewater percentages for all reaches in the modelled river network, which is a truncated version of the 1:50,000 digital river network derived from the UK Ordnance Survey Panorama Data Set. To estimate the percentage of wastewater at each fish site, a python script was used to link each site to the nearest reach in the river network. The results are reported in terms of mean, standard deviation, 90th percentile, and 95th percentile, denoted as EDF_Mn, EDF_SD, EDF_Q90, and EDF_Q95, respectively.\n\nChemical Determinands\nChemical concentration data spanning 1960-2017, involving 41 determinands, was extracted from the UK's Environment Agency's Water Quality Data Archive. Fish sites were matched to the nearest chemical determinand site using specific criteria like site distance, sample count, and data collection timeframe through ArcGIS. To identify and exclude erroneous data, a threshold of 10 mg/l was set for some determinands, with values exceeding this threshold omitted from statistical calculations. Handling values below the Limit of Quantification (LoQ) involved three options: setting values to LoQ (LoQ1), setting them to 0 (LoQ2), or setting them to LoQ/2 (LoQ3). For the 12 months preceding the surveys at each fish site, various statistics were computed, including minimum, maximum, median, mean, standard deviation, total sample count, and counts of samples below and above the LoQ. Some sites had to be excluded from the final dataset due to licensing restrictions. \n\nAltitude\nElevation values for each fish site were extracted from the Integrated Hydrological Digital Terrain Model (IHDTM) using Arc GIS' Extract Multi Values to Points' tool. Two elevation values were calculated: Elevation values corresponding to the value of the IHDTM cell centre. Elevation values corresponding to an average value calculated from the adjacent cells with valid values using bilinear interpolation; NoData values were ignored in the interpolation unless all adjacent cells were NoData.\n\nClimate variables\nThe Gulf Stream Index (GSI) data spanning 1975-2017 was obtained from the Plymouth Marine Laboratory website (http://www.pml-gulfstream.org.uk/data.htm). Annual mean data were employed due to substantial month-to-month variability resulting from Gulf Stream meandering (Plymouth Marine Laboratory, 2019). Positive GSI values signify a northward shift from the long-term mean location, while negative values indicate a southward movement.\n\nData for the North Atlantic Oscillation Index (NAOI) spanning 1975-2017 was obtained from the National Centre for Atmospheric Research website (https://www.ncei.noaa.gov/access/monitoring/nao). The NAOI's winter (December-March) station-based index relies on the normalized sea level pressure (SLP) difference between Lisbon, Portugal, and Reykjavik, Iceland, dating back to 1864. Positive NAOI values indicate stronger westerlies over mid-latitudes, more intense North Atlantic weather systems, and wetter/milder conditions in Western Europe.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T12:53:23.000Z","orcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"organisation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","Environment Agency","Agricultural University of Athens","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b0afb78e-a0cb-4762-9220-659211ae3a5e","10.5285/b0afb78e-a0cb-4762-9220-659211ae3a5e","doi:10.5285/b0afb78e-a0cb-4762-9220-659211ae3a5e"],"resourceType":"Dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/04nkhwh30","https://ror.org/00pggkr55","https://ror.org/03ykbk197","https://ror.org/01ch2yn61","https://ror.org/01zewfb16","https://ror.org/03xawq568","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a time series of species-specific fish abundances and covariates for 1180 fish sites in English rivers. Sites with at least ten annual fish surveys in the Environment Agency’s (EA) National Fish Population Database (NFPD) between 1975 and 2017…","state":"published","title":"Fish abundance, habitat, water quality, flow and climate data from English rivers,1975-2017","topic":["0/Pollution/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Dominguez","Reinsch","Holthof","Smith","Koller","Emmett"],"authorFullName":["Dominguez, M.","Reinsch, S.","Holthof, E.","Smith, A.R.","Koller, E.","Emmett, B.A."],"authorGivenName":["M.","S.","E.","A.R.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0001-8580-278X","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data consist of measurements on soil microbial enzyme activity of six hydrolytic enzymes and related soil measurements from the experimental field sites at Clocaenog forest and Peaknaze. Samples were collected in 2012 from plots subjected to experimental drought and warming as well as untreated control plots. Soil cores were taken for the topsoil 0 to10 centimetres.\n\nEnzymes were measured at the climate change field site Climoor that is located in Clocaenog forest, North East Wales and the Peaknaze field site located in the Peak District. The experimental field sites each consist of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours, and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September).\n\nSix hydrolytic soil microbial enzymes and one oxidase were extracted from the topsoil to test the effect of these enzymes that are involved in carbon, nitrogen and phosphorus cycling, under the imposed long-term climate change treatments. The hydrolytic enzymes were assayed using 4-methylumbelliferone (MUF) or 7-amino-4-methyl coumarin (AMC) linked-substrates, whereas the oxidase was extracted in pure water. All enzyme extracts were measured colorimetrically.\n\nThe Clocaenog and Peaknaze field experiments intend to answer questions regarding the effects of warming and drought on ecosystem processes. Plot level microbial related measurements are important to investigate ecosystem carbon dynamics and changes in the soil carbon under the imposed climatic treatments.\n\nMeasurements were undertaken by trained members of staff at the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Dominguez","Reinsch","Holthof","Smith","Koller","Emmett"],"fullName":["Dominguez, M.","Reinsch, S.","Holthof, E.","Smith, A.R.","Koller, E.","Emmett, B.A."],"givenName":["M.","S.","E.","A.R.","B.A.","Sabine"],"identifier":"9bfa5e3b-dbf0-46fc-a5c4-7970b0d850a8","incomingCitationCount":0,"keyword":["Clocaenog","Peaknaze","Climate and climate change","Plot level data","heathland","climate change","enzyme"],"keywordsOther":["Plot level data","heathland","climate change","enzyme"],"keywordsPlace":["Clocaenog","Peaknaze"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Soil cores were collected in July 2012 using a cylinder auger. Three soil samples were taken from the topsoil 0 to 10 centimetres and bulked to one composite sample per experimental plot. Soil samples were kept at 2 to 4 degrees Celsius until enzyme assays were completed. Roots were removed, and soils were sieved to less than 2 millimeters.\n\nSoil enzyme activity of six hydrolytic enzymes was assayed using 4-methylumbelliferone (MUF) or 7-amino-4-methyl coumarin (AMC) linked-substrates. Seven mL of MUF-substrate + 50 mM acetate buffer solution with pH 4.6 were added to 1 gramme of fresh soil. This solution was incubated at 10 degrees Celsius  in the dark. Then, soil suspensions were centrifuged for five minutes, and supernatant solutions were measured colorimetrically on 96-well plates at 330 nanometres (nm) and 450 nm (Cary Eclipse Fluorescence Spectrophotometer, Agilent, Santa Clara, CA, USA).\n\nExtracellular phenol oxidase activity was measured 1 gramme of soil in 9 mL  of ultra-pure water. Solutions were mixed and diluted with 450 microlitres of ultrapure water. Afterwards, 750  microlitres of 10 mM dihydroxy phenylalanine (L-DOPA) were added, samples were incubated for 9 minutes at 10 degrees Celsius , followed by centrifugation at 10,000 rpm for 5 minutes. Absorbance of the supernatant was measured at 460 nm. Phenol oxidase activity was calculated using Beer-Lambert's Law, with a molar absorption coefficient for the L-DOPA product 3-dihydroindole-5,6-quinone-2-carboxylate (DIQC) of 3.7-104.\n\nSoil water content (percentage) was determined as loss in weight after drying the soils at 105 degrees Celsius for 24 hours. Soil organic matter content (SOM in percent) was determined as difference in weight between soils that were dried at 20 degrees Celsius and 375 degrees Celsius overnight.\n\nSoil nitrate and ammonium were determined in 0.5 molar K2SO4 soil extracts, by standard spectrophotometrical methods. Samples were analysed by autoanalyser (Indol-phenol blue and sulphanilamide/NEDA/Cd/Cu reaction methods respectively). Soil available phosphorus was determined in Mehlich-3 soil extracts, and analyzed using standard spectrophotometrical methods. Water-soluble soil phenolics were determined spectrophotometrically using the Folin-Ciocalteau's reagent. Soil microbial biomass was determined on a paired soil sample extracted with 0.5 M K2SO4 where one sample was fumigated with chloroform. Soil microbial biomass carbon and nitrogen were measured on an autoanalyzer and calculated as difference between carbon and nitrogen concentrations in the none-fumigated and the fumigated samples. A correction factor was applied.\n\nAll results were entered into Excel spreadsheets. Results from all the analyses were combined into one Excel spreadsheet. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-3.479 53.033, -3.479 53.475, -1.91 53.475, -1.91 53.033, -3.479 53.033))"],"metadataDate":"2026-09-02T13:48:29.000Z","orcid":["0000-0003-4649-0677","0000-0001-8580-278X","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9bfa5e3b-dbf0-46fc-a5c4-7970b0d850a8","10.5285/9bfa5e3b-dbf0-46fc-a5c4-7970b0d850a8","doi:10.5285/9bfa5e3b-dbf0-46fc-a5c4-7970b0d850a8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This data consist of measurements on soil microbial enzyme activity of six hydrolytic enzymes and related soil measurements from the experimental field sites at Clocaenog forest and Peaknaze. Samples were collected in 2012 from plots subjected to experimental drought…","state":"published","title":"Microbial enzyme activities under experimental drought and warming at Clocaenog forest and Peaknaze Moor (2012)","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"eidc","description":"This series of datasets consists of mean estimate distribution maps of ash trees (Fraxinus excelsior) across Great Britain. It includes ash trees in areas less than half a hectare, ash trees in woody linear features and individual ash trees. The data are derived from Countryside Survey 2007. Trees were mapped in 569 1km sample squares across Britain using a stratified random sampling system based on the ITE Land Classification. Mean national estimates were produced by scaling up from the sample data.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell"],"fullName":["Maskell, L.C."],"givenName":["L.C."],"identifier":"1bc1abdd-1d6c-4e50-9d21-a94da82c17e7","incomingCitationCount":0,"keyword":["Great Britain","Biodiversity","Fraxinus excelsior"],"keywordsOther":["Fraxinus excelsior"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Data were collected as part of the Countryside Survey monitoring project in 2007. Data were collected from 591 1km sample squares and scaled up to national estimates using the ITE Land Classification. See supporting documentation for further information.","locations":["POLYGON((-7.95 49.83, -7.95 60.96, 2.5 60.96, 2.5 49.83, -7.95 49.83))"],"metadataDate":"2026-07-24T19:16:14.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-08-30T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1377860425245","CEH:EIDC::1377860425245","https://catalogue.ceh.ac.uk/id/1bc1abdd-1d6c-4e50-9d21-a94da82c17e7"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This series of datasets consists of mean estimate distribution maps of ash trees (Fraxinus excelsior) across Great Britain. It includes ash trees in areas less than half a hectare, ash trees in woody linear features and individual ash trees. The data are derived from…","state":"published","supplementalDescription":["Distribution of Ash trees (Fraxinus excelsior) in Countryside Survey data (2013). Maskell, L.C., Henrys, P.A., Norton, L.R., Smart, S.M. and Wood, C.M. January 2013, NERC/Centre for Ecology & Hydrology, Lancaster."],"supplementalName":["Information regarding Countryside Survey monitoring project"],"title":"Ash tree distribution in Great Britain 2007","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2021 (note that 2017 was a pilot year and has less data than subsequent years).\n\nThe “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes.\n\nThe “1 km square” FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country.\n\nUK PoMS is coordinated by UKCEH, with involvement from the following partners: Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Buglife, Hymettus, Natural History Museum, the University of Reading and University of Leeds, and working with recording schemes and societies.\n\nUKPoMS is advised and supported by a Steering Group, involving UKCEH, JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, and SASA.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme"],"funder":["Department for Environment Food and Rural Affairs","Welsh Government","Scottish Government","Department of Agriculture, Environment and Rural Affairs","Joint Nature Conservation Committee","Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"761cee06-cb94-476e-bb62-69ae634aa5ca","incomingCitationCount":0,"keyword":["citizen science","environmental monitoring","Pollinators","insect"],"keywordsInstrument":["citizen science","environmental monitoring"],"keywordsOther":["insect"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Public FIT Counts are carried out at locations and dates chosen by the participants, at any time when weather conditions are suitable between 1 April and 30 September each year. A set of fourteen target flower types is provided, but participants are free to choose a different flower if a target species is not available. Guidance is provided to participants on how to select a suitable location and position a quadrat, and on how to identify the insect group categories when counting visiting insects.\n\nOne km square FIT Counts follow the same methodology for the ten-minute count, but take place in up to 95 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month.\n\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided of the target flowers, and these are corrected where the original identification is not correct. Participants can optionally add photos to show examples of the insect groups that they have seen and counted, although these photos should not be taken during the count itself (so as to avoid disturbing visiting insects) so cannot be corrected in the same way.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:53:31.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Bumblebee Conservation Trust","Butterfly Conservation","British Trust for Ornithology","Hymettus","Natural History Museum","University of Reading","University of Leeds","Department for Environment, Food & Rural Affairs","Welsh Government","Scottish Government","Joint Nature Conservation Committee"],"publicationDate":"2024-07-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/761cee06-cb94-476e-bb62-69ae634aa5ca","10.5285/761cee06-cb94-476e-bb62-69ae634aa5ca","doi:10.5285/761cee06-cb94-476e-bb62-69ae634aa5ca"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Bumblebee Conservation Trust","Butterfly Conservation","British Trust for Ornithology","Hymettus","Natural History Museum","University of Reading","University of Leeds","Department for Environment, Food & Rural Affairs","Welsh Government","Scottish Government","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00wngta72","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/039zvsn29","https://ror.org/05v62cm79","https://ror.org/024mrxd33","https://ror.org/00tnppw48","https://ror.org/000wh6t45","https://ror.org/04v2xmd71","https://ror.org/01jksdf22","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2021…","state":"published","title":"Flower-insect timed count data from the UK Pollinator Monitoring Scheme, 2017-2021","topic":["0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Stockholm Environment Institute at the University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["Osborne","Hayes","Sharps","Harmens","Mills"],"authorFullName":["Osborne, S.A.","Hayes, F.","Sharps, K.","Harmens, H.","Mills, G."],"authorGivenName":["S.A.","F.","K.","H.","G."],"authorOrcid":["0000-0001-8130-5532","0000-0002-1037-5725","0000-0003-3265-1505","0000-0001-8792-0181","0000-0001-9870-2868"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise of four datasets for Spring wheat (Triticum aestivum L., cv. Mulika) from a season-long ozone exposure experiment in mesocosms:\ni) Yield and biomass data (including harvest index and individual grain weight) gathered at the end of the experiment;\nii) measurements of chlorophyll content index (CCI) measured ad-hoc using a Soil-Plant Analyses Development (SPAD) chlorophyll meter throughout the experiment across all treatments;\niii) measurements of leaf stomatal conductance, measured ad-hoc using a porometer throughout the experiment across all treatments;\niv) results from four growth stage assessments conducted at different stages of the experiment. \n\nYield and Biomass data are dry weights of non-edge plants, with a cutting height of 5cm above soil level. Leaf chlorophyll and stomatal conductance data were measured on the most recently fully expanded leaf (flag leaf from 28th May 2015 onwards) of randomly selected non-edge plants. The data are from an ozone and drought exposure experiment conducted during April-August 2015 at the Centre for Ecology & Hydrology Bangor solardome facility near Abergwyngregyn (Latitude 53.2387, Longitude -4.0176). The objective of the experiment was to determine how two abiotic stressors in combination - ozone and drought - would interact to influence growth and yield of wheat, and also what impact the timing of drought would have on the result. \n\nSpring wheat (Triticum aestivum L., cv. Mulika) was grown in rows within large 25-litre pots, and exposed to eight ozone treatments for 82 days. Plants experienced either (i) a well-watered regime (ii) a 10-day early-season drought event or (iii) a 10-day late-season drought event. The eight Ozone (O3) treatments ranged from a 24-hour mean of 27 parts per billion (ppb) in the lowest treatment to 57 ppb in the highest, with daily peaks ranging from 32 to 115 ppb\n\nThis work was carried out as part of a Ph.D. funded by the Natural Environment Research Council (NERC) (NERC Reference NEC05014/3328/988)","documentType":"GEMINI_DOCUMENT","familyName":["Osborne","Hayes","Sharps","Harmens","Mills"],"fullName":["Osborne, S.A.","Hayes, F.","Sharps, K.","Harmens, H.","Mills, G.","Osborne, S."],"givenName":["S.A.","F.","K.","H.","G.","Stephanie"],"identifier":"9678f446-0e2f-4f9c-860a-cbedfce4c7ec","incomingCitationCount":0,"keyword":["Abergwyngregyn","Pollution","Triticum aestivum"],"keywordsOther":["Triticum aestivum"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Yield/Biomass data: This data was collected at the end of the experimental season, during August 2015. The total number of plants per pot was first counted, and all non-edge wheat plants were then cut at a level of 5cm above the soil surface. Ears were separated from the rest of the plant material, and ears were then threshed using a hand thresher to extract the wheat grains. Grain weight, ear weight and straw weight was measured before plant sampled were dried for one week in an oven at 65 degrees Celsius. Dry weight of all samples could then be measured. Data were recorded on paper data tables, and subsequently entered into Microsoft Excel. Calculation of particular harvest parameters (e.g. yield in kh/ha, harvest index) was conducted in Excel, and data was later exported as a comma separated value (csv) file for ingestion into the Environmental Information Data Centre. Calculation of certain harvest parameters (e.g. yield in kg/ha, harvest index) was carried out in Microsoft Excel following data entry.\n\nStomatal conductance data: This data was collected throughout the season, with measurements taken using an AP4 leaf porometer (Delta-T devices, Cambridge) over 9 separate days throughout the 2015 season. Measurements were intentionally made across a range of meteorological conditions to allow for model parameterisation at a later stage. Data were recorded on paper data tables and subsequently entered into Microsoft Excel. Each measurement of stomatal conductance was later paired with the concurrent temperature, vapour pressure deficit (VPD) and photosynthetically active radiation (PAR) as measured by on the solardome canopy computer automated monitoring system;. this data was downloaded from the computer system periodically throughout the season. The final data file was exported as a comma separated value (csv) file for ingestion into the Environmental Information Data Centre.\n\nChlorophyll content index data: This data was collected throughout the season, and measurements were made using a chlorophyll meter (CCM-200, Opti-sciences, Hudson, USA). Some measurements were made simultaneously with measurements of stomatal conductance, while others were not. Data were recorded on paper data tables and subsequently entered into Microsoft Excel. The final data table was later exported as a comma separated value (csv) file for ingestion into the Environmental Information Data Centre.\n\nGrowth stage assessment data: This data was collected on four days throughout the experiment: the 9th June, 30th June, 14th July and 27th July 2015. Growth stage assessment was carried out according to the decimal system described by Tottman (1987; The decimal code for the growth of cereals, with illustrations. Annals of Applied Biology 110, 441-454). Plants within each pot were examined and the maximum (i.e. most progressed) observed growth stage was recorded. Four pots per ozone and drought treatment were examined. Data were recorded on paper data tables and subsequently entered into Microsoft Excel. Data was exported as a comma separated values (csv) file for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.02 53.237, -4.02 53.239, -4.016 53.239, -4.016 53.237, -4.02 53.237))"],"metadataDate":"2026-09-02T13:48:54.000Z","orcid":["0000-0001-8130-5532","0000-0002-1037-5725","0000-0003-3265-1505","0000-0001-8792-0181","0000-0001-9870-2868"],"organisation":["Stockholm Environment Institute at the University of York","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-01-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9678f446-0e2f-4f9c-860a-cbedfce4c7ec","10.5285/9678f446-0e2f-4f9c-860a-cbedfce4c7ec","doi:10.5285/9678f446-0e2f-4f9c-860a-cbedfce4c7ec"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise of four datasets for Spring wheat (Triticum aestivum L., cv. Mulika) from a season-long ozone exposure experiment in mesocosms:\ni) Yield and biomass data (including harvest index and individual grain weight) gathered at the end of the experiment;\nii)…","state":"published","title":"Plant physiology data for the spring wheat cultivar Mulika, in response to combined ozone and drought exposure in 2015","topic":["0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of St Andrews","University of Glasgow","University of York","UK Centre for Ecology & Hydrology","University of Leeds","Bangor University "],"authorFamilyName":["Smeaton","Ladd","Havelock","Miller","Garrett","Hiles","McMahon","Mills","Radbourne","Rees-Hughes","Riegel","Barlow","Skov","Gehrels","Austin"],"authorFullName":["Smeaton, C.","Ladd, C.J.T.","Havelock, G.M.","Miller, L.C.","Garrett, E.","Hiles, W.","McMahon, L.","Mills, R.T.E.","Radbourne, A.","Rees-Hughes, L.","Riegel, S.","Barlow, N.L.M.","Skov, M.W.","Gehrels, R.","Austin, W.E.N."],"authorGivenName":["C.","C.J.T.","G.M.","L.C.","E.","W.","L.","R.T.E.","A.","S.","N.L.M.","M.W. ","R.","W.E.N."],"authorOrcid":["0000-0003-4535-2555","0000-0001-5437-6474","0000-0001-5862-1596","0000-0003-2876-4312","0000-0001-9985-0651","0000-0001-9647-4769","0000-0003-0199-7108","0000-0003-3167-5783","0000-0002-4452-3984","0000-0003-3657-9600","0000-0002-2713-2543","0000-0002-7204-3865","0000-0002-5088-5834","0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/024mrxd33","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 22 UK saltmarshes. Between 2018 and 2021, 462 narrow diameter gouge cores (30 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to facilitate the calculation of saltmarsh soil organic carbon stocks. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The data provides a quantitative measure of soil dry bulk density and organic carbon content across varies substrate and marsh types.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Ladd","Havelock","Miller","Garrett","Hiles","McMahon","Mills","Radbourne","Rees-Hughes","Riegel","Barlow","Skov","Gehrels","Austin"],"fullName":["Smeaton, C.","Ladd, C.J.T.","Havelock, G.M.","Miller, L.C.","Garrett, E.","Hiles, W.","McMahon, L.","Mills, R.T.E.","Radbourne, A.","Rees-Hughes, L.","Riegel, S.","Barlow, N.L.M.","Skov, M.W.","Gehrels, R.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","C.J.T.","G.M.","L.C.","E.","W.","L.","R.T.E.","A.","S.","N.L.M.","M.W. ","R.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"d301c5f5-77f5-41ba-934e-a80e1293d4cd","incomingCitationCount":1,"keyword":["United Kingdom","C-SIDE","cores","dry bulk density","substrate","Scotland","England","Wales","soil","carbon","salt marsh","sediment","wetland","intertidal zone","blue carbon","coastal area","organic carbon","organic matter"],"keywordsOther":["United Kingdom","C-SIDE","cores","dry bulk density","substrate","Scotland","England","Wales","soil","carbon","salt marsh","sediment","wetland","intertidal zone","blue carbon","coastal area","organic carbon","organic matter"],"licence":"Open government licence","lineage":"Across 22 UK saltmarshes 462 narrow diameter (30mm) soil cores were collected, the cores were described in the field following the Troels-Smith scheme. The cores were sub-sampled in the field at 10cm intervals resulting in 3434 samples. The location of each coring site was recorded using DGPS. Prior to analysis the samples were stored at 4 degrees Celsius at the University of St Andrews. Soil dry bulk density and organic carbon content was measured using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets 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":"2026-07-25T14:18:17.000Z","orcid":["0000-0003-4535-2555","0000-0001-5437-6474","0000-0001-5862-1596","0000-0003-2876-4312","0000-0001-9985-0651","0000-0001-9647-4769","0000-0003-0199-7108","0000-0003-3167-5783","0000-0002-4452-3984","0000-0003-3657-9600","0000-0002-2713-2543","0000-0002-7204-3865","0000-0002-5088-5834","0000-0001-6544-3468"],"organisation":["University of St Andrews","University of Glasgow","University of York","UK Centre for Ecology & Hydrology","University of Leeds","Bangor University ","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d301c5f5-77f5-41ba-934e-a80e1293d4cd","10.5285/d301c5f5-77f5-41ba-934e-a80e1293d4cd","doi:10.5285/d301c5f5-77f5-41ba-934e-a80e1293d4cd"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/024mrxd33","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 22 UK saltmarshes. Between 2018 and 2021, 462 narrow diameter gouge cores (30 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE)…","state":"published","title":"Physical and geochemical properties of saltmarsh soils from narrow diameter gouge cores in UK saltmarshes collected between 2018 and 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rameshwaran","Bell","Davies","Kay"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"authorGivenName":["P.","V.A.","H.N.","A.L."],"authorOrcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0002-5526-1756"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or \"HMF-WA\" model. The ensembles correspond to historical and three projected future climate scenarios (RCP2.6, RCP4.5 and RCP8.5) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Bell","Davies","Kay"],"fullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"funder":["Natural Environment Research Council"],"givenName":["P.","V.A.","H.N.","A.L.","Ponnambalam"],"grant":["NE/M020428/1"],"identifier":"6429828f-6a06-4d2d-8f50-4910b18f7ff4","incomingCitationCount":1,"keyword":["West Africa","Climate and climate change","Hydrology","Modelling","African Monsoon Multidisciplinary Analysis AMMA"],"keywordsOther":["African Monsoon Multidisciplinary Analysis AMMA"],"keywordsPlace":["West Africa"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"licence":"Open government licence","lineage":"The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The climatic inputs to the model were bias-corrected CMIP5 daily precipitation and potential evaporation derived from bias-corrected CMIP5 daily temperature data (near-surface air temperature and daily maximum and minimum surface air temperature). See Supporting Information for more details.","locations":["POLYGON((-18 3, -18 26, 25 26, 25 3, -18 3))"],"metadataDate":"2026-07-25T06:44:26.000Z","orcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0002-5526-1756"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6429828f-6a06-4d2d-8f50-4910b18f7ff4","10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4","doi:10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099)…","state":"published","supplementalDescription":["The AMMA-2050 project was a United Kingdom’s Natural Environment Research Council (NERC)/Department for International Development (DFID) Future Climate for Africa (FCFA) initiative to address the challenges of understanding how the monsoon will change in future decades, and how this information can be most effectively used to support climate-compatible development in the region.","RAMESHWARAN, P., BELL, V. A., DAVIES, H. N. & KAY, A. L. submitted. How might climate change affect river flows across West Africa? Climatic Change."],"supplementalName":["AMMA-2050 project"],"title":"Historical (1950-2005) and projected (2006-2099) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP5 projected climate data","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2022 (note that 2017 was a pilot year and has less data than subsequent years, and that the survey first became active in Northern Ireland in 2021, which was a pilot year in that country).\n\nThis survey uses pan traps positioned on transects within a randomly allocated set of 1 km squares across the UK. The sample data contains information on the location of the traps, various environmental variables, and the total number of insect specimens collected. The occurrence data for insects contains records of all hoverflies and bees from the traps, identified (wherever possible) to species level. The occurrence data for flowers contains records of all forbs that are in flower within 2 metres of each pan-trap station. (In addition, Flower-Insect Timed Counts are carried out in the same 1 km squares, see separate dataset for these data.)\n\nUK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2022: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, the University of Reading and University of Leeds. \n\nPoMS Steering Group members in 2022 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, Buglife and National Biodiversity Network.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme"],"funder":["Joint Nature Conservation Committee","Department for Environment Food and Rural Affairs","Scottish Government","Welsh Government","Department of Agriculture, Environment and Rural Affairs for Northern Ireland","Natural Environment Research Council","UK Centre for Ecology & Hydrology"],"grant":["NE/Y006208/1"],"identifier":"4a565007-d3a1-468d-9f84-70ec7594fafe","incomingCitationCount":0,"keyword":["UK Pollinator Monitoring Scheme (PoMS)","Pollinators","Ecosystem services","Biodiversity","environmental monitoring","flora (biology)","insect","syrphidae","apidae","hoverflies","pan traps"],"keywordsOther":["environmental monitoring","flora (biology)","insect","syrphidae","apidae","hoverflies","pan traps"],"keywordsProject":["UK Pollinator Monitoring Scheme (PoMS)"],"keywordsTheme":["Pollinators","Ecosystem services","Biodiversity"],"licence":"Open government licence","lineage":"Data are collected by PoMS volunteers and staff from up to 95 1 km squares, during four visits each summer, aiming for one visit during suitable weather approximately every month from May to September.  There will be gaps in the data where a square cannot be visited during a particular year or month. At each visit, five pan-traps are positioned in a transect across the 1 km square, and left in position for approx. six hours. The insects trapped are returned to the PoMS laboratory, where all insects are sorted into main taxonomic groupings and counted, and all bees and hoverflies are passed to taxonomic experts for identification to species level where possible.\n\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided that show plants in flower in the vicinity of the pan-traps; bee and hoverfly identifications are cross-checked by multiple taxonomists for all rare and apparently out-of-range occurrences, plus a random sample of other occurrences. The data is then processed through R to highlight and correct potential errors (the code for this is available in the metadata).\n\nMartin Harvey is the PoMS co-ordinator at UKCEH and the first point of contact for queries via the poms@ceh.ac.uk email. Claire Carvell is the project manager for PoMS, also based at UKCEH Wallingford and responsible for strategic direction, overseeing delivery of the surveys, data management and reporting, and liaising with JNCC and other partners. Nadine Mitschunas leads the field team with Chris Andrews and Angus Garbutt, and Francesca Mancini leads on statistical analysis of PoMS data, with Robin Hutchinson working on data management and communications. Other UKCEH team members are Nick Isaac, Lucy Ridding, Marc Botham and Helen Roy, and our partners are represented by Richard Comont (BCT), Richard Fox and Megan Lowe (BC), Dawn Balmer and Rob Jaques (BC), Paul Lee and Rowan Edwards (Hymettus), Mike Garratt and Simon Potts (Reading University), Bill Kunin (Leeds University) and Alfried Vogler (Natural History Museum).\n\nThanks go to the following for their contributions up to and including 2022: Richard Dawson, Katty Baird, José van Paassen, Jan Winder, Catherine Jones and Ellen Lamborn for covering unallocated 1 km survey squares, mentoring volunteers and promoting PoMS; Ivan Wright, Nigel Jones, Liam Crowley, Alice Parfitt, Richard Dawson and Ellen Lamborn for identifying specimens; Steven Falk and Mike Edwards for taxonomic expertise","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:19:22.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Joint Nature Conservation Committee"],"publicationDate":"2025-08-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4a565007-d3a1-468d-9f84-70ec7594fafe","10.5285/4a565007-d3a1-468d-9f84-70ec7594fafe","doi:10.5285/4a565007-d3a1-468d-9f84-70ec7594fafe"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2022 (note that 2017 was a pilot year and has less data than subsequent years, and that…","state":"published","title":"Pan trap survey data from the UK Pollinator Monitoring Scheme, 2017-2022","topic":["0/Pollinators/","0/Ecosystem services/","0/Biodiversity/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr"],"authorFullName":["Jones, I.","Feuchtmayr, H."],"authorGivenName":["I.","H."],"authorOrcid":["0000-0002-6898-1429","0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every four minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr"],"fullName":["Jones, I.","Feuchtmayr, H."],"givenName":["I.","H.","Heidrun"],"identifier":"bd37710e-6a53-49f0-9a07-6973408a3342","incomingCitationCount":1,"keyword":[" Lake District","England","lake"],"keywordsOther":["lake"],"keywordsPlace":[" Lake District","England"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Windermere South Basin are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2008 to 2011. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-3.004 54.259, -3.004 54.395, -2.886 54.395, -2.886 54.259, -3.004 54.259))"],"metadataDate":"2026-09-02T13:42:21.000Z","orcid":["0000-0002-6898-1429","0000-0002-2028-4843"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bd37710e-6a53-49f0-9a07-6973408a3342","10.5285/bd37710e-6a53-49f0-9a07-6973408a3342","doi:10.5285/bd37710e-6a53-49f0-9a07-6973408a3342"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the…","state":"published","title":"Data from automatic water monitoring buoy from Windermere south basin, 2008 to 2011","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Bournemouth","University of Portsmouth"],"authorFamilyName":["McCracken","Bullock","Ridding","Hulmes","Evans","Newton","Watson"],"authorFullName":["McCracken, M.E.","Bullock, J.M.","Ridding, L.E.","Hulmes, L.","Hulmes, S.","Evans, P.M.","Newton, A.C.","Watson, S.C.L."],"authorGivenName":["M.E.","J.M.","L.E.","L.","S.","P.M.","A.C.","S.C.L."],"authorOrcid":["0000-0002-8298-8838","0000-0003-0529-4020","0000-0003-3141-8795","0000-0003-0637-3708","0000-0001-8583-540X","0000-0001-6706-420X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains botanical data from 13 calcareous grassland, 13 heathland and 12 woodland sites within Dorset, UK. The sites were selected to represent a range of habitat types across a condition gradient as measured by levels of degradation from the original habitat. The original habitats were identified as being calcareous grassland, heathland or woodland from a survey conducted in the 1930s. Within heathland and calcareous grassland sites the percentage cover of all plant species were recorded within five 1m quadrat squares. Plants were recorded to species level where possible, or genus where species level was not possible. Covers of bare ground and litter were also recorded. Within woodlands plots, sampling was done slightly differently to enable recording of ground level plants and species within multiple canopy levels. Cover and presence of all herbaceous species were recorded in 2m quadrat squares, cover of tree seedlings (<1.5 m height) were recorded in 5m quadrat squares and ground-level cover of trunk of tree species if necessary were recorded in 10m quadrat squares. Heathland and calcareous grassland sites were visited in summer 2017 and woodland sites were visited in summer 2018.","documentType":"GEMINI_DOCUMENT","familyName":["McCracken","Bullock","Ridding","Hulmes","Evans","Newton","Watson"],"fullName":["McCracken, M.E.","Bullock, J.M.","Ridding, L.E.","Hulmes, L.","Hulmes, S.","Evans, P.M.","Newton, A.C.","Watson, S.C.L.","McCracken, M."],"givenName":["M.E.","J.M.","L.E.","L.","S.","P.M.","A.C.","S.C.L.","M."],"identifier":"8a75395f-7858-40a2-8364-eb3482aeaad1","incomingCitationCount":0,"keyword":["Dorset","Biodiversity","grassland","heathland","woodland ecosystem","habitat loss"],"keywordsOther":["grassland","heathland","woodland ecosystem","habitat loss"],"keywordsPlace":["Dorset"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Original sites were identified from work by Professor Ronald Good, an eminent Dorset botanist who undertook an extensive botanical survey of Dorset from 1931 to 1939. The archive is publically available through the Dorset Environmental Records Centre. Sites were selected from those sites identified by Good as being calcareous grassland, heathland or woodland in 1930s. The subsampling approach used a variety of data sources, to identify current habitat types, including the UK Land Cover Map 2007, Natural England’s Priority Habitat Inventory and Sites of Special Scientific Interest (SSSIs), survey data from Horsfall, the Dorset Heathland survey and information on the Higher Level Stewardship schemes.\n\nWithin heathland and calcareous grassland sites the percentage cover of all plant species were recorded within five 1m quadrat squares. These were taken at random points within a W walk over the 50m sample square. Within woodlands plots, sampling was done slightly differently to enable recording of ground level plants and species within multiple canopy levels. Five 10m x 10m quadrats for tree and shrub cover were set in a cross shape across the 50m x 50m sample area (figure 1) one in each corner & one in the centre. Within these 10m x 10m quadrats canopy cover and presence of each canopy tree species was recorded. Within the centre of each 10 x 10 m quadrat (positioning by eye) a single 5 x 5 m quadrat was set out. Within these 5m x 5m quadrats, canopy cover and presence of shrubs, understory trees & tree saplings (> 1.5 m height, < 10 cm dbh) was recorded. In each 5 x 5 m quadrat a single 2 x 2 m quadrat was then also set up. Cover and presence of all herbaceous species, cover of tree seedlings (<1.5 m height) and ground-level cover of trunk of tree species if necessary were recorded.\n\nData were collected by experienced field ecologists, the same ecologists carried out all surveys. Data are consistent and reliable. Data were recorded into a spreadsheet as recorded in the field. Data were checked for any anomalies.","locations":["POLYGON((-2.961 50.521, -2.961 51.08, -1.681 51.08, -1.681 50.521, -2.961 50.521))"],"metadataDate":"2026-09-02T13:39:24.000Z","orcid":["0000-0002-8298-8838","0000-0003-0529-4020","0000-0003-3141-8795","0000-0003-0637-3708","0000-0001-8583-540X","0000-0001-6706-420X"],"organisation":["UK Centre for Ecology & Hydrology","University of Bournemouth","University of Portsmouth","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-11-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8a75395f-7858-40a2-8364-eb3482aeaad1","10.5285/8a75395f-7858-40a2-8364-eb3482aeaad1","doi:10.5285/8a75395f-7858-40a2-8364-eb3482aeaad1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains botanical data from 13 calcareous grassland, 13 heathland and 12 woodland sites within Dorset, UK. The sites were selected to represent a range of habitat types across a condition gradient as measured by levels of degradation from the original…","state":"published","title":"Botanical data for calcareous grassland, heathland and woodland sites in Dorset, UK, 2017-2018","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid"],"description":"Hydrologically corrected digital terrain model (DTM) of Plynlimon catchments. The DTM was derived from digitised elevation data from scanned topographic maps.","documentType":"GEMINI_DOCUMENT","fdriCatchment":["Upper Severn"],"identifier":"4f6dcead-fd4c-4ae5-83ac-25694c9daf9b","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Upper Severn","Floods and Droughts Digital Research Infrastructure (FDRI)","Mapping","Water quality","Hydrology","ground surface","stream","digital land model","river","digital terrain model","digital elevation model"],"keywordsOther":["ground surface","stream","digital land model","river","digital terrain model","digital elevation model"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Upper Severn"],"keywordsProject":["Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Mapping","Water quality","Hydrology"],"licence":"Open government licence","lineage":"Plynlimon digital terrain model was derived from digitised elevation data. The elevation data had been digitised from scanned topographic maps (reference below). Once the elevation data was captured (spot heights and contour lines) a TIN was created which was then used to derived a hydrologically corrected, grid-based DTM. All the processing was done in ARCINFO however it was not documented therefore no further details can be provided.  Topographic maps reference: Plynlimon Catchment Areas - Severn Catchment. Sheet No. 1. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas - Wye Catchment. Sheet No. 2. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. ","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-09-01T14:57:51.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1364210594753","CEH:EIDC::1364210594753","https://catalogue.ceh.ac.uk/id/4f6dcead-fd4c-4ae5-83ac-25694c9daf9b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Hydrologically corrected digital terrain model (DTM) of Plynlimon catchments. The DTM was derived from digitised elevation data from scanned topographic maps.","state":"published","title":"Plynlimon research catchments: digital terrain model","topic":["0/Mapping/","0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","School of Natural and Environmental Sciences, Newcastle University","Butterfly Conservation"],"authorFamilyName":["Boyes","Evans","Fox","Parsons","Pocock"],"authorFullName":["Boyes, D.H.","Evans, D.M.","Fox, R.","Parsons, M.S.","Pocock, M.J.O."],"authorGivenName":["D.H.","D.M.","R.","M.S.","M.J.O."],"authorOrcid":["0000-0003-0191-3920","0000-0003-4061-6726","0000-0001-6992-3522","0000-0003-4375-0445"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Counts of caterpillars arising from a short-term experiment that installed lighting rigs in previously unlit areas to test for a change in nocturnal feeding behaviour. Caterpillars were counted from lit and control transects at two locations in Oxfordshire during January and February 2019. Lighting rigs were installed during the afternoon and switched on one hour before sunset. To give the nocturnal caterpillars time to become active, sampling occurred between 60 and 120 minutes after sunset. On a sampling night, all transects were sampled within a 5–10-minute period.","documentType":"GEMINI_DOCUMENT","familyName":["Boyes","Evans","Fox","Parsons","Pocock"],"fullName":["Boyes, D.H.","Evans, D.M.","Fox, R.","Parsons, M.S.","Pocock, M.J.O.","Boyes, D."],"funder":["Natural Environment Research Council"],"givenName":["D.H.","D.M.","R.","M.S.","M.J.O.","Douglas"],"grant":["NE/L002590/1"],"identifier":"7e7ce7c1-aa16-484f-86b1-90c5b088a64c","incomingCitationCount":1,"keyword":["Biodiversity","Artificial light at night","insect populations","Street lighting","ecology","lighting","lepidopteran","insect"],"keywordsOther":["Artificial light at night","insect populations","Street lighting","ecology","lighting","lepidopteran","insect"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Data were generated by collecting larvae in field using sweep netting (as detailed in the methods). Data quality assurance included data collection via standardised recording forms, data entry using drop down menus and automated calculations. Following data entry, records were double checked to ensure accidental typing errors were removed and to check for apparent outliers.","locations":["POLYGON((-2.265 51.27, -2.265 52.273, -0.337 52.273, -0.337 51.27, -2.265 51.27))"],"metadataDate":"2026-07-25T06:58:35.000Z","orcid":["0000-0003-0191-3920","0000-0003-4061-6726","0000-0001-6992-3522","0000-0003-4375-0445"],"organisation":["UK Centre for Ecology & Hydrology","School of Natural and Environmental Sciences, Newcastle University","Butterfly Conservation","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7e7ce7c1-aa16-484f-86b1-90c5b088a64c","10.5285/7e7ce7c1-aa16-484f-86b1-90c5b088a64c","doi:10.5285/7e7ce7c1-aa16-484f-86b1-90c5b088a64c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Counts of caterpillars arising from a short-term experiment that installed lighting rigs in previously unlit areas to test for a change in nocturnal feeding behaviour. Caterpillars were counted from lit and control transects at two locations in Oxfordshire during January…","state":"published","title":"Caterpillar activity under experimentally manipulated light conditions, Oxfordshire, UK, winter 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Izquierdo","Bailey","Crout","Sanders","Young","Shaw"],"authorFullName":["Izquierdo, M.","Bailey, E.","Crout, N.","Sanders, H.","Young, S.","Shaw, S."],"authorGivenName":["M.","E.","N. ","H. ","S.","Shaw"],"authorOrcid":["0000-0002-2283-7202","0000-0002-5266-3792","0000-0001-7394-5070","0000-0002-3371-7185","0000-0003-2282-963X"],"authorRor":["https://ror.org/01ee9ar58"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise measurements of the 'soluble', 'adsorbed' and 'organically bound' 99Tc concentrations in a diverse set of soils following experimental addition of 99TcO4- and incubation in the laboratory under controlled temperature conditions for 897 days.\n\nThe long term behaviour of 99Tc in aerobic soils was studied by conducting a laboratory-based experiment in which a set of 20 topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with 99TcO4- and incubated in the dark, in a moist but aerobic condition, at a temperature of 10 deg C for 2.5 yr. The physico-chemical transformations of 99Tc in each soil microcosm were periodically monitored by means of a three-step sequential extraction procedure conducted on subsamples of incubated soil. \n\nThe resulting dataset enabled quantification of the kinetics of 99Tc transformation in aerobic soils as a function of soil properties and land uses (arable, grassland and moorland/woodland). The data will be useful in developing models of long-term 99Tc bioavailability in aerobic soils under temperate conditions.","documentType":"GEMINI_DOCUMENT","familyName":["Izquierdo","Bailey","Crout","Sanders","Young","Shaw","George"],"fullName":["Izquierdo, M.","Bailey, E.","Crout, N.","Sanders, H.","Young, S.","Shaw, S.","George, S."],"funder":["Natural Environment Research Council"],"givenName":["M.","E.","N. ","H. ","S.","Shaw"],"identifier":"4622f906-e28a-4210-aa03-d2e4169b1be8","incomingCitationCount":0,"keyword":["Chernobyl","Soil","Radioecology","Incubation","Aerobic soils","Technetium","aerobic condition","soil"],"keywordsOther":["Incubation","Aerobic soils","Technetium","aerobic condition","soil"],"keywordsPlace":["Chernobyl"],"keywordsTheme":["Soil","Radioecology"],"licence":"Open government licence","lineage":"At each sampling time, a portion of ca. 4 g soil from each microcosm was subjected to a three-step sequential extraction procedure devised to quantify (i) the ‘soluble’ 99Tc, which was extracted with 0.01 M KNO3; (ii) the ‘specifically adsorbed’ 99Tc, extracted with 0.16 M KH2PO4; and (iii) the ‘organically bound’ 99Tc associated with humic and fulvic acids, dissolved with 10% tetra methyl ammonium hydroxide (TMAH) solution. Soil extracts were analysed using a Thermo Fisher Scientific iCAP-Q ICP-MS operating with a collision cell using He with kinetic energy discrimination. The Radioactive Standard NIST SRM 4288B (31.55 kBq g-1 of 99TcO4- in 0.001M KOH) was used for calibration. ","locations":["POLYGON((-1.66 52.4, -1.66 53.017, -0.66 53.017, -0.66 52.4, -1.66 52.4))"],"metadataDate":"2026-07-24T21:16:54.000Z","orcid":["0000-0002-2283-7202","0000-0002-5266-3792","0000-0001-7394-5070","0000-0002-3371-7185","0000-0003-2282-963X"],"organisation":["University of Nottingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-08-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4622f906-e28a-4210-aa03-d2e4169b1be8","10.5285/4622f906-e28a-4210-aa03-d2e4169b1be8","doi:10.5285/4622f906-e28a-4210-aa03-d2e4169b1be8"],"resourceType":"Dataset","ror":["https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise measurements of the 'soluble', 'adsorbed' and 'organically bound' 99Tc concentrations in a diverse set of soils following experimental addition of 99TcO4- and incubation in the laboratory under controlled temperature conditions for 897 days.\n\nThe long…","state":"published","title":"Technetium-99 (99Tc) transformations in aerobic soils following experimental addition of the radioactive anion 99TcO4-","topic":["0/Soil/","0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Hewitt"],"authorFullName":["Hewitt, D."],"authorGivenName":["D."],"authorOrcid":["0000-0001-8297-0294"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data includes impacts on root nodule biomass, stomatal conductance, injury rates, and N-fixation in the white clover cultivar (T. repens cv. crusader). An ozone-exposure experiment was conducted in solardomes during the spring and summer of year 2012 on modern clover (Trifolium spp.) cultivars. The effects of ozone pollution (30, 35, 40, 45, 52, 67 parts per billion (ppb) treatment means) on the growth and functioning of the clover cultivars was investigated. Both cultivars had positive increases in ozone-injury rates, although stomatal conductance was unaffected by ozone exposure. Reductions in root nodule biomass and nodule number occurred in white clover, and red clover displayed an increase in nodule density. Nitrogen fixation rates were suppressed in white clover, which could have important implications for the sustainability of managed pasture. The work was carried out as part of a NERC funded PhD. Project number NEC04456. ","documentType":"GEMINI_DOCUMENT","familyName":["Hewitt","Mills"],"fullName":["Hewitt, D.","Mills, G."],"givenName":["D.","G."],"identifier":"b63fbb6c-5030-43a1-b0ea-160bb5a83078","incomingCitationCount":0,"keyword":["Abergwyngregyn","Environmental risk","Pollution","Solar Dome","Soladome","Cultivar","Seedlings","ozone","nitrogen fixation"],"keywordsOther":["Solar Dome","Soladome","Cultivar","Seedlings","ozone","nitrogen fixation"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Environmental risk","Pollution"],"licence":"Open government licence","lineage":"White clover (Trifolium repens cv. Crusader) and red clover (Trifolium pratense cv. Merviot) were exposed to elevated ozone (mean concentrations 30, 35, 40, 45, 52, 67 parts per billion (ppb)) in solardomes for a period of 12 weeks in the early summer of year 2012. Data was first recorded in the field in field notebooks, and was then transferred to electronic copies (MS Excel worksheets). Data was then exported as .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-09-02T13:39:24.000Z","orcid":["0000-0001-8297-0294"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b63fbb6c-5030-43a1-b0ea-160bb5a83078","10.5285/b63fbb6c-5030-43a1-b0ea-160bb5a83078","doi:10.5285/b63fbb6c-5030-43a1-b0ea-160bb5a83078"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data includes impacts on root nodule biomass, stomatal conductance, injury rates, and N-fixation in the white clover cultivar (T. repens cv. crusader). An ozone-exposure experiment was conducted in solardomes during the spring and summer of year 2012 on modern clover…","state":"published","title":"Effect of ozone on modern clover cultivars","topic":["0/Environmental risk/","0/Pollution/"],"version":1.0,"view":["public","danor"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}