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The data encompass bacterial strain identity, material type, timepoints (days), bacterial concentration (CFU/ml) and survival percentages. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model. The ability of isolates to persist on materials, dissociate from materials into water bodies, and recolonise materials was also determined.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","Woodford","White","Fellows","Oliver","Quilliam"],"fullName":["Ormsby, M.","Woodford, L.","White, H.","Fellows, R.","Oliver, D.","Quilliam, R.","Michael Ormsby"],"funder":["Natural Environment Research Council"],"givenName":["Michael","Luke","Hannah","Rosie","David","Richard","Michael "],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","incomingCitationCount":0,"keyword":["Environmental risk","Climate and climate change","Water quality","Biofilm","Human Pathogens","Plastic Pollution","Plastisphere","Public Health"],"keywordsOther":["Biofilm","Human Pathogens","Plastic Pollution","Plastisphere","Public Health"],"keywordsTheme":["Environmental risk","Climate and climate change","Water quality"],"licence":"Open government licence","lineage":"Data were generated through laboratory experiments investigating the persistence, virulence, and survival of clinically relevant strains of toxigenic Vibrio cholerae. Bacteria were cultured on materials (Polyethylene [PE], polypropylene [PP] and banana leaf [BL]) and analysed for persistence over time (up to 28 days) and virulence using Galleria mellonella larvae. Materials (PE, PP and BL) were prepared and inoculated under controlled laboratory conditions. V. cholerae strains were inoculated onto materials in nutrient-rich and surface water environments. Sampling was taken at defined time points (7, 14, 21, 28 days). G. mellonella larvae were used to evaluate virulence, and survival was assessed over 72 h. The experiments utilised standard laboratory equipment such as 96-well plates and incubators. G. mellonella larvae were sourced from a local supplier and used within one week of delivery. Instrumentation used for bacterial enumeration, including the plate reader, was calibrated according to standard laboratory protocols. The data underwent rigorous quality control through replication (biological triplicates), statistical analysis (ANOVA), and controlled experimental conditions (e.g., temperature and material consistency). Statistical methods including ANOVA and Tukey’s post-hoc tests were applied to assess treatment effects and survival outcomes.\n","metadataDate":"2026-11-05T13:42:14.000Z","orcid":["0000-0002-3991-2336","0000-0003-2530-2120","0009-0003-8928-2189","0000-0002-6200-562X","0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","10.5285/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","doi:10.5285/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the survival and persistence of clinically relevant strains of toxigenic Vibrio cholerae on plastic and vegetation, under environmentally relevant conditions. The data encompass bacterial strain identity, material type,…","state":"published","title":"Survival and persistence of clinically relevant strains of toxigenic Vibrio cholerae on plastic and vegetation, under environmentally relevant conditions","topic":["0/Environmental risk/","0/Climate and climate change/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.S.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorGivenName":["M.S.","T.","S.","C.","I.","Z.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2017), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. \n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.S.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"givenName":["M.S.","T.","S.","C.","I.","Z.","D.B."],"identifier":"ddcd1fa7-27d8-4082-93bd-a550c98208cf","incomingCitationCount":1,"keyword":["England","Scotland","Wales","Northern Ireland","United Kingdom","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["England","Scotland","Wales","Northern Ireland","United Kingdom"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Indices are calculated for all species (across WCBS squares and traditional UKBMS sites) using the Generalised Abundance Index (GAI) method developed in 2016 with an additional modification that the data from each site in each year is weighted in the final stage relative to the proportion of the species flight period surveyed that year for that site. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which there was sufficient data available, the starting year for the series is later than 1976 for a number of rarer species.","locations":["POLYGON((-8.648 48.718, -8.648 60.861, 1.768 60.861, 1.768 48.718, -8.648 48.718))"],"metadataDate":"2026-09-15T08:43:06.000Z","orcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"organisation":["Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","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/ddcd1fa7-27d8-4082-93bd-a550c98208cf","10.5285/ddcd1fa7-27d8-4082-93bd-a550c98208cf","doi:10.5285/ddcd1fa7-27d8-4082-93bd-a550c98208cf"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value)…","state":"published","supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1976 to 2017","title":"United Kingdom Butterfly Monitoring Scheme: species trends 2017","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Plymouth","University of Twente"],"authorFamilyName":["Sgarabotto","Manzella","Raby"],"authorFullName":["Sgarabotto, A.","Manzella, I.","Raby, A."],"authorGivenName":["A.","I."],"authorOrcid":["0000-0002-4740-784X","0000-0001-7518-819X","0000-0002-8959-0080"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/006hf6230"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements from smart sensors monitoring the motion state of a physical analogue of a Large Wood (LW) dam in laboratory experiments. The smart sensors were equipped with an accelerometer, gyroscope and magnetometer and they recorded angular velocity, total acceleration, and the magnetic field. These data were used to calculate the linear acceleration and gravity acceleration which are also provided in this dataset. Three factors were changed during the experiment: inclination, constraint configuration, and flow conditions. The experiments were repeated 10 times.  ","documentType":"GEMINI_DOCUMENT","familyName":["Sgarabotto","Manzella","Raby"],"fullName":["Sgarabotto, A.","Manzella, I.","Raby, A."],"funder":["Natural Environment Research Council"],"givenName":["A.","I."],"identifier":"94aa98b2-b7f7-42c8-81ad-3085d0151eff","incomingCitationCount":0,"keyword":["smart sensors","large wood","large woody debris dam"],"keywordsOther":["smart sensors","large wood","large woody debris dam"],"licence":"Open government licence","lineage":"The physical analogue model of an LW dam was composed of a single hollow wooden dowel installed in a flume using a supporting frame. Two aluminium connections placed at the ends of the wooden dowel were used to mount the wooden dowel on the supporting frame and meant simple modes of movements could be singled out, namely rotation, vertical displacements, and horizontal displacements.\n\nThe motion of the LW dam under a range of different conditions was monitored using an accelerometer, gyroscope and magnetometer which were installed within the longitudinal borehole of the wooden dowel. The accelerometer and gyroscope had an acquisition frequency set at 59.5 Hz, whereas the magnetometer recorded at 5 Hz.  The sensor was equipped with an additional accelerometer measuring continuously; when the acceleration exceeded the user-defined threshold set at 390 mg, the sensor activated and started recording. Each experiment was repeated 10 times and the raw data from each of these experiments were stored in the ‘df_UC.csv’ files.\n\nThe raw data were processed to produce the measurements in the ‘df_UC_cal.csv’ files. First, the magnetometer data were upsampled to keep the same number of entries for each sensor. Second, each sensor was calibrated. Third, the orientation angles were computed combining the readings of accelerometer, gyroscope, and magnetometer by a built-in function from the Python library AHRS (Attitude and Heading Reference System). Gravity compensation was applied to derive linear acceleration and gravity acceleration. The total, linear and gravity acceleration in the earth system along the x and y direction were also calculated using simple transformations. More details are available in the ReadMe.docx.\n","metadataDate":"2026-11-05T13:26:33.000Z","orcid":["0000-0002-4740-784X","0000-0001-7518-819X","0000-0002-8959-0080"],"organisation":["University of Plymouth","University of Twente","NERC EDS Environmental Information Data Centre","University of Exeter","University of East Anglia"],"publicationDate":"2023-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/94aa98b2-b7f7-42c8-81ad-3085d0151eff","10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff","doi:10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Plymouth","University of Exeter","University of East Anglia"],"ror":["https://ror.org/008n7pv89","https://ror.org/006hf6230","https://ror.org/04xw4m193","https://ror.org/03yghzc09","https://ror.org/026k5mg93"],"shortenedDescription":"This dataset contains measurements from smart sensors monitoring the motion state of a physical analogue of a Large Wood (LW) dam in laboratory experiments. The smart sensors were equipped with an accelerometer, gyroscope and magnetometer and they recorded angular velocity,…","state":"published","title":"Smart sensor data from tracking the displacement of a physical analogue of a large wood dam in laboratory experiments","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Bath"],"authorFamilyName":["Kasprzyk-Hordern","Castrignano","Feil","Lewis"],"authorFullName":["Kasprzyk-Hordern, B.","Castrignano, E.","Feil, E.","Lewis, S."],"authorGivenName":["B.","E.","S."],"authorOrcid":["0000-0002-6809-2875","0000-0002-5555-9894","0000-0003-1446-6744","0000-0003-4555-4907"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises of weekly concentrations of fluoroquinolones in wastewater and receiving waters collected in the Avon river catchment South West UK. The following fluoroquinolones were analysed: (±)-ofloxacin, (±)-ofloxacin-N-oxide, (±)-desmethyl-ofloxacin, (±)-lomefloxacin, (±)-moxifloxacin, S,S-moxifloxacin-N-sulfate, R-(+)-besifloxacin, (±)-prulifloxacin, (±)-ulifloxacin, (±)-flumequine and (±)-nadifloxacin; ciprofloxacin, desethylene-ciprofloxacin, norfloxacin and nalidixic acid.\n\nThe concentrations of (fluoro)quinolones were measured in receiving treated wastewater from 5 wastewater treatment plants (WWTPs), which serves 1.5 million people accounting for 75% of inhabitants living in the catchment area in the South West of England.\n\nNERC Grant NE/N019261/1","documentType":"GEMINI_DOCUMENT","familyName":["Kasprzyk-Hordern","Castrignano","Feil","Lewis"],"fullName":["Kasprzyk-Hordern, B.","Castrignano, E.","Feil, E.","Lewis, S."],"funder":["Natural Environment Research Council"],"givenName":["B.","E.","S.","Barbara"],"grant":["NE/N019261/1"],"identifier":"f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5","incomingCitationCount":0,"keyword":["Environmental survey","antibiotic","waste water"],"keywordsOther":["antibiotic","waste water"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Wastewater influent and effluent were collected for 7 consecutive days running from Wednesday to Tuesday between June and October 2015 from five major WWTPs contributing to one river catchment in the South-West UK.\n\nMeasurements of antibiotic were conducted using  chiral liquid chromatography coupled with tandem mass spectrometry. See supporting documentation for further details.","locations":["POLYGON((-2.65 51.36, -2.65 51.501, -2.112 51.501, -2.112 51.36, -2.65 51.36))"],"metadataDate":"2026-11-05T13:41:42.000Z","orcid":["0000-0002-6809-2875","0000-0002-5555-9894","0000-0003-1446-6744","0000-0003-4555-4907"],"organisation":["University of Bath","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5","10.5285/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5","doi:10.5285/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5"],"resourceType":"Dataset","ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises of weekly concentrations of fluoroquinolones in wastewater and receiving waters collected in the Avon river catchment South West UK. The following fluoroquinolones were analysed: (±)-ofloxacin, (±)-ofloxacin-N-oxide, (±)-desmethyl-ofloxacin, (±)-lomefloxacin,…","state":"published","supplementalDescription":["Castrignanò, E., Kannan, A.M., Proctor, K., Petrie, B., Hodgen, S., Feil, E.J., Lewis, S.E., Lopardo, L., Camacho-Muñoz, D., Rice, J., Cartwright, N., Barden, R., & Kasprzyk-Hordern, B. (2020). (Fluoro)quinolones and quinolone resistance genes in the aquatic environment: A river catchment perspective. Water Research, 182, 116015. 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The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to 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. Dataset consists of vector version, with polygons as classified (Northern Ireland only).","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"fullName":["Morton, R.D.","Rowland, C.","Wood, C.M.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"givenName":["R.D.","C.","C.M.","L.","G.","R.","I."],"identifier":"fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","incomingCitationCount":0,"keyword":["Northern Ireland","LCM2007","Land cover"],"keywordsOther":["LCM2007","Land cover"],"keywordsPlace":["Northern Ireland"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-09-15T08:38:43.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1300189425068","CEH:EIDC::1300189425068","https://catalogue.ceh.ac.uk/id/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","doi:10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","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","temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007 (vector, N. Ireland)","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Plymouth Marine Laboratory","National Oceanography Centre"],"authorFamilyName":["Pickard","Brown","Burden","Callaghan","Evans","Kitidis","Mayor","Olszewska","Pereira","Spears","Williamson","Woodward","Rees"],"authorFullName":["Pickard, A.E.","Brown, I.","Burden, A.","Callaghan, N.","Evans, C.D.","Kitidis, V.","Mayor, D.","Olszewska, J.","Pereira, G.","Spears, B.M.","Williamson, J.","Woodward, M.","Rees, A.P."],"authorGivenName":["A.E.","I.","A. ","N.","C.D. ","V. ","D.","J. ","G. ","B.M. ","J.","M.","A.P."],"authorOrcid":["0000-0003-1069-3720","0000-0002-7052-354X","0000-0001-8216-5885"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05av9mn02","https://ror.org/00874hx02"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains dissolved greenhouse and nutrient data collected from seven UK estuaries: the Clyde, Clywd, Conwy, Dart, Forth, Tamar and Tay, for the LOCATE project. Sampling was conducted from July 2017 to April 2018 on a quarterly basis, and was coordinated to occur on falling tides and to target specific salinities of interest: 1, 2, 5, 10, 15, 25 psu. Data were obtained via collection of gas and water samples in situ, and concentrations were derived via subsequent sample processing and analysis.  ","documentType":"GEMINI_DOCUMENT","familyName":["Pickard","Brown","Burden","Callaghan","Evans","Kitidis","Mayor","Olszewska","Pereira","Spears","Williamson","Woodward","Rees"],"fullName":["Pickard, A.E.","Brown, I.","Burden, A.","Callaghan, N.","Evans, C.D.","Kitidis, V.","Mayor, D.","Olszewska, J.","Pereira, G.","Spears, B.M.","Williamson, J.","Woodward, M.","Rees, A.P."],"funder":["Natural Environment Research Council"],"givenName":["A.E.","I.","A. ","N.","C.D. ","V. ","D.","J. ","G. ","B.M. ","J.","M.","A.P."],"grant":["NE/N018087/1"],"identifier":"328cacca-c33b-450a-a39c-302b4eed07a2","incomingCitationCount":0,"keyword":["Climate and climate change","UK","biogeochemistry","estuary","greenhouse gas"],"keywordsOther":["UK","biogeochemistry","estuary","greenhouse gas"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"All data were generated by the authors. During the generation of water chemistry and dissolved greenhouse gas data, calibration standards of known concentrations were used for quality control of instrument outputs.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T14:38:32.000Z","orcid":["0000-0003-1069-3720","0000-0002-7052-354X","0000-0001-8216-5885"],"organisation":["UK Centre for Ecology & Hydrology","Plymouth Marine Laboratory","National Oceanography Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/328cacca-c33b-450a-a39c-302b4eed07a2","10.5285/328cacca-c33b-450a-a39c-302b4eed07a2","doi:10.5285/328cacca-c33b-450a-a39c-302b4eed07a2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","National Oceanography Centre","Plymouth Marine Laboratory"],"ror":["https://ror.org/00pggkr55","https://ror.org/05av9mn02","https://ror.org/00874hx02","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains dissolved greenhouse and nutrient data collected from seven UK estuaries: the Clyde, Clywd, Conwy, Dart, Forth, Tamar and Tay, for the LOCATE project. Sampling was conducted from July 2017 to April 2018 on a quarterly basis, and was coordinated…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Greenhouse gas and nutrient data measured across estuaries in the UK, 2017-2018","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","margla"]},{"availability":"Unknown","catalogue":"eidc","description":"This record links data outputs of the NERC Historic Droughts project. The datasets comprise reconstructed hydro-meteorological time series of potential evapotranspiration (PET), river flow and ground water levels from the 1890s to 2015 for the UK. It also includes a number of drought indicators derived from these hydro-meteorological parameters: Standardised Precipitation Index (SPI), Standardised Streamflow Index (SSI) and Standardised Groundwater level Index (SGI). Other data outputs of Historic Droughts (archived elsewhere) include newly digitised historic precipitation and temperature data, used in the creation of the SPI and PET data listed here. The Historic Droughts project aimed to develop an interdisciplinary understanding of drought from a range of different perspectives. The hydro-meteorological datasets listed here were used to produce timelines of past droughts which were brought together with an inventory of historic drought information from a range of other sectors (media, legislation) which is archived elsewhere.","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fullName":["Fry, M."],"givenName":["Matt"],"identifier":"af1db516-3411-416f-9c51-5ab99d912f8a","incomingCitationCount":0,"keyword":["ENDOWS"],"keywordsProject":["ENDOWS"],"licence":"Non-Open government licence","metadataDate":"2026-07-25T13:24:18.000Z","organisation":["Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af1db516-3411-416f-9c51-5ab99d912f8a"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This record links data outputs of the NERC Historic Droughts project. The datasets comprise reconstructed hydro-meteorological time series of potential evapotranspiration (PET), river flow and ground water levels from the 1890s to 2015 for the UK. It also includes a…","state":"published","title":"Historic droughts: hydro-meteorological data outputs","version":1.0,"view":["public","nuri"]},{"altTitle":["WFD"],"availability":"Unknown","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in two tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica.","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["T."],"identifier":"ba6e8ddd-22a9-457d-acf4-d63cd34f2dda","incomingCitationCount":0,"keyword":["Atmosphere","land surface"],"keywordsOther":["Atmosphere","land surface"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T12:58:30.000Z","organisation":["Centre for Ecology & Hydrology"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1313501123875","CEH:EIDC::1313501123875","https://catalogue.ceh.ac.uk/id/ba6e8ddd-22a9-457d-acf4-d63cd34f2dda"],"resourceType":"Aggregation","shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P., Gomes, S., Viterbo, P., Shuttleworth, W.J., Blyth, E., Österle, H. , Adam, J.C., Bellouin, N., Boucher, O. & Best, M. (2011).  Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century. Journal of Hydrometeorology: Vol 12, No 5."],"temporalExtentText":"Data collected from 1901 to 2001","title":"WATer and global CHange (WATCH) Forcing Data (WFD) - 20th Century","version":1.0,"view":["public","twarnaars"]},{"authorAffiliation":["The University of Manchester","Innsbruck University","UK Centre for Ecology & Hydrology","Helmholtz Zentrum München"],"authorFamilyName":["Broadbent","Bahn","Pritchard","Newbold","Goodall","Guinta","Snell","Cordero","Michas","Grant","Soto","Kaufmann","Schloter","Griffiths","Bardgett"],"authorFullName":["Broadbent, A.A.D.","Bahn, M.","Pritchard, W.J.","Newbold, L.","Goodall, T.","Guinta, A.","Snell, H.S.K.","Cordero, I.","Michas, A.","Grant, H.K.","Soto, D.X.","Kaufmann, R.","Schloter, M.","Griffiths, R.I.","Bardgett, R.D."],"authorGivenName":["A.A.D.","M.","W.J.","L.","T.","A.","H.S.K.","I.","H.K.","D.X.","R.","R.I.","R.D."],"authorOrcid":["0000-0002-8438-7163"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise soil microbial and biogeochemical data collected during a climate and vegetation change experiment conducted across three valleys in Tyrol, in the Austrian Alps. Sites were located near the villages of Obergurgl (lat., long. = 46.844833, 11.023783; mean elevation = 2279m), Soelden (46.978367, 10.972217, mean elevation = 2469m) and Vent (46.863217, 10.896800, mean elevation = 2472m).\n\nSoil microbial data include phospholipid fatty acid (PLFA) analyses, and bacterial (16S Small subunit ribosomal RNA) and fungal (internal transcribed spacer region 2) high throughput sequences. Soil biogeochemical data include soil extracellular enzyme activities, soil pH, gravimetric moisture content and various C and N pools and fluxes.\n\nThe experiment was funded by NERC project NE/N009452/1.","documentType":"GEMINI_DOCUMENT","familyName":["Broadbent","Bahn","Pritchard","Newbold","Goodall","Guinta","Snell","Cordero","Michas","Grant","Soto","Kaufmann","Schloter","Griffiths","Bardgett"],"fullName":["Broadbent, A.A.D.","Bahn, M.","Pritchard, W.J.","Newbold, L.","Goodall, T.","Guinta, A.","Snell, H.S.K.","Cordero, I.","Michas, A.","Grant, H.K.","Soto, D.X.","Kaufmann, R.","Schloter, M.","Griffiths, R.I.","Bardgett, R.D."],"funder":["Natural Environment Research Council"],"givenName":["A.A.D.","M.","W.J.","L.","T.","A.","H.S.K.","I.","H.K.","D.X.","R.","R.I.","R.D."],"grant":["NE/N009452/1"],"identifier":"977c422d-8529-432d-85d7-5de3c8dfdc5d","incomingCitationCount":0,"keyword":["Soil","Climate and climate change","Ecosystem functions","alpine","Obergurgl","Soil microbiome","Soelden ","Vent","dissolved organic nitrogen","Microbial biomass","Enzyme activity","Urease activity","Phospholipid-derived fatty acids (PLFA)","Gravimetric soil water content","carbon","nitrogen","ammonium","nitrate","soil chemistry","biomass","microbial resource","soil water","Austria"],"keywordsOther":["Ecosystem functions","alpine","Obergurgl","Soil microbiome","Soelden ","Vent","dissolved organic nitrogen","Microbial biomass","Enzyme activity","Urease activity","Phospholipid-derived fatty acids (PLFA)","Gravimetric soil water content","carbon","nitrogen","ammonium","nitrate","soil chemistry","biomass","microbial resource","soil water","Austria"],"keywordsTheme":["Soil","Climate and climate change"],"licence":"Open government licence","lineage":"All data were collected by the authors according to standardised protocols. Soil was sampled on 22nd - 24th July 2019 by taking soil cores (Ø = 2 cm, depth = 10 cm) using a steel corer from five random locations in each plot (plot size = 2m x 2m). Soil cores from the same plot were pooled and homogenised, any vegetation or litter was separated and discarded. Sub-samples (approx. 200 mg) were directly taken and lysed in the field for molecular analyses. Soil samples were sieved (4 mm), stored at 4°C for up to 2 weeks, and shipped to The University of Manchester (UK) Soil and Ecosystem Ecology Lab for extracellular soil enzyme and biogeochemical analyses. Lysed soil samples for molecular analyses were stored at -80°C and shipped to UKCEH Wallingford for DNA extraction and sequencing. We ensured all measured values fit within those of calibration standards. All calculations were checked for errors before data was accepted and data were checked for any anomalies.","locations":["POLYGON((10.972 46.844, 10.972 46.978, 11.023 46.978, 11.023 46.844, 10.972 46.844))"],"metadataDate":"2026-09-15T08:42:25.000Z","orcid":["0000-0002-8438-7163"],"organisation":["The University of Manchester","Innsbruck University","UK Centre for Ecology & Hydrology","Helmholtz Zentrum München","NERC Environmental Information Data Centre","University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/977c422d-8529-432d-85d7-5de3c8dfdc5d","10.5285/977c422d-8529-432d-85d7-5de3c8dfdc5d","doi:10.5285/977c422d-8529-432d-85d7-5de3c8dfdc5d"],"resourceType":"Dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise soil microbial and biogeochemical data collected during a climate and vegetation change experiment conducted across three valleys in Tyrol, in the Austrian Alps. Sites were located near the villages of Obergurgl (lat., long. = 46.844833, 11.023783; mean…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Alpine grassland soil microbial and biogeochemical data from a climate change and shrub expansion experiment in Tyrol, Austria, July 2019","topic":["0/Soil/","0/Climate and climate change/"],"version":1.0,"view":["public","margla"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map service (WMS) for the Land Cover Map 2007 (LCM2007), percentage cover at 1km for aggregate classes. Land Cover Map 2007 (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 hierarchical nomenclature corresponding to Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible , incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This WMS is for Great Britain only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["Dan"],"identifier":"5d324260-22d9-11e4-8c21-0800200c9a66","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap 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((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-08-12T12:00:46.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5d324260-22d9-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2007 (LCM2007), percentage cover at 1km for aggregate classes. Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates…","state":"published","title":"Land Cover Map 2007 (1km percentage aggregate class, GB) Web Map Service v1.2","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Essex","University of Oxford","Soil Conservation Service of Iceland","University of Iceland","Stockholm University","University of Helsinki"],"authorFamilyName":["O'Gorman","Warner","Marteinsdóttir","Helmutsdóttir","Ehrlén","Robinson"],"authorFullName":["O'Gorman, E.J.","Warner, E.","Marteinsdóttir, B.","Helmutsdóttir, V.F.","Ehrlén, J.","Robinson, S.I."],"authorGivenName":["E.J.","E.","B.","V.F.","J.","S.I."],"authorOrcid":["0000-0003-4507-5690","0000-0003-2236-9725","0000-0003-3779-7327","0000-0001-8539-8967","0000-0002-8831-0497"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a dataset of environmental data, vegetation cover, and community- and species-level invertebrate herbivory, sampled at 14 experimental soil plots in the Hengill geothermal valley, Iceland, from May to July 2017. The plots span a temperature gradient of 5-35 °C on average over the sampling period, yet they occur within 1 km of each other and have similar soil moisture, pH, nitrate, ammonium, and phosphate.","documentType":"GEMINI_DOCUMENT","familyName":["O'Gorman","Warner","Marteinsdóttir","Helmutsdóttir","Ehrlén","Robinson"],"fullName":["O'Gorman, E.J.","Warner, E.","Marteinsdóttir, B.","Helmutsdóttir, V.F.","Ehrlén, J.","Robinson, S.I."],"funder":["Natural Environment Research Council"],"givenName":["E.J.","E.","B.","V.F.","J.","S.I."],"grant":["NE/L011840/2","NE/M020843/1"],"identifier":"da5d7028-2aec-4da2-96ff-f347a0dfa77e","incomingCitationCount":0,"keyword":["natural experiment","trophic ","climate change","global warming"],"keywordsOther":["natural experiment","trophic ","climate change","global warming"],"licence":"Open government licence","lineage":"Herbivory assessments were made at the plant community and species levels. We focused on three plant species with a widespread occurrence across the temperature gradient: cuckooflower (Cardamine pratensis, Linnaeus), common mouse-ear (Cerastium fontanum, Baumgerten), and marsh violet (Viola palustris, Linnaeus). For assessments of invertebrate herbivory at the species level, thirty individuals per species of C. pratensis, C. fontanum, and V. palustris were marked in each of ten plots, using a stratified random sampling method where individuals were randomly selected, but the full range of within-plot soil temperatures was represented. For assessments of invertebrate herbivory at the community level, five 50 × 50 cm quadrats were marked at random points in eight of the plots that best captured the full temperature gradient. The community-level herbivory assessment was conducted on 19th June. The number of damaged plants was recorded out of 100 random individuals, selected using a 10 × 10 grid within each 50 × 50 cm quadrat. For the species-level herbivory assessment, individual marked plants were surveyed for signs of invertebrate herbivory every two weeks from 30th May to 2nd July, generating three time-points per species. At each survey, all marked individuals for each species were assessed within a 48-hour period. Plants were recorded as damaged or not damaged by invertebrate herbivores at each time-point. Further details of how phenological stage of development, vegetation community composition, soil temperature, moisture, pH, nitrate, ammonium, and phosphate were recorded are provided in the supporting documentation.","locations":["POLYGON((-21.279 64.044, -21.279 64.061, -21.321 64.061, -21.321 64.044, -21.279 64.044))"],"metadataDate":"2026-11-05T14:31:22.000Z","orcid":["0000-0003-4507-5690","0000-0003-2236-9725","0000-0003-3779-7327","0000-0001-8539-8967","0000-0002-8831-0497"],"organisation":["University of Essex","University of Oxford","Soil Conservation Service of Iceland","University of Iceland","Stockholm University","University of Helsinki","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/da5d7028-2aec-4da2-96ff-f347a0dfa77e","10.5285/da5d7028-2aec-4da2-96ff-f347a0dfa77e","doi:10.5285/da5d7028-2aec-4da2-96ff-f347a0dfa77e"],"resourceType":"Dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This is a dataset of environmental data, vegetation cover, and community- and species-level invertebrate herbivory, sampled at 14 experimental soil plots in the Hengill geothermal valley, Iceland, from May to July 2017. The plots span a temperature gradient of 5-35…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Invertebrate herbivory data across a natural soil temperature gradient in Iceland from May-July 2017","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Vihermaa","Waldron","Newton"],"authorFullName":["Vihermaa, L.E.","Waldron, S.","Newton, J."],"authorGivenName":["L. E.","S.","J."],"authorOrcid":["0000-0001-6263-1252","0000-0002-2683-0761","0000-0001-7594-3693"],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Aquatic carbon (dissolved inorganic carbon (DIC), dissolved organic carbon (DOC) and particulate organic carbon and the carbon isotopic composition of DIC) and nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) in rainfall fractions (rainwater, throughfall, stemflow and overland flow) were sampled in the Western Amazonian basin. The samples were collected towards the end of a wet season April - May 2012. Rainfall and throughfall samples were collected in plastic buckets. Stemflow samples were collected using stemflow collection systems. Overland samples were collected using a a plastic pipe cut lengthways directing flow into a plastic bucket. Established standard methods were used to analyse the DIC, DOC and nutrients. These methods are outlined in the lineage. The samples were taken to understand the nutrient and carbon delivery in rainwater as well as leaching from tree canopies, stems and from the soil surface.\n\nThe data collection was carried out as part of the Natural Environment Research Council (NERC) funded Amazonica project (NE/F005482/1).","documentType":"GEMINI_DOCUMENT","familyName":["Vihermaa","Waldron","Newton"],"fullName":["Vihermaa, L.E.","Waldron, S.","Newton, J.","Vihermaa, L."],"funder":["Natural Environment Research Council"],"givenName":["L. E.","S.","J.","Leena"],"grant":["NE/F005482/1"],"identifier":"59bdb8f6-fb1f-418f-a53c-394f6c68a334","incomingCitationCount":0,"keyword":["stemflow collectors","throughfall collectors","overland flow collectors","Thermo-Fisher-Scientific Gas Bench/Delta V Plus ","Thermalox TOC 2020","Atomic Absorption Spectrometry (Perkin Elmer Analyst 400)","Peru","Amazonia","Amazon","dissolved inorganic carbon","particulate organic carbon","DIC","DOC","POC","nutrient","dissolved organic carbon","organic carbon"],"keywordsInstrument":["stemflow collectors","throughfall collectors","overland flow collectors","Thermo-Fisher-Scientific Gas Bench/Delta V Plus ","Thermalox TOC 2020","Atomic Absorption Spectrometry (Perkin Elmer Analyst 400)"],"keywordsOther":["dissolved inorganic carbon","particulate organic carbon","DIC","DOC","POC","nutrient","dissolved organic carbon","organic carbon"],"keywordsPlace":["Peru","Amazonia","Amazon"],"licence":"Open government licence","lineage":"Throughfall and rain water were collected in 31.5 centimetre diameter plastic buckets covered with fine mesh to prevent litter entering. Four replicate throughfall collectors were deployed. Eight trees without visible defects were selected for stemflow collection in the same vicinity. The stemflow collection systems were made of flexible plastic piping cut in half, attached to the tree stems with minimal use of small nails and silicon sealant to close the gaps between the pipe edge and the tree stem to direct the stemflow into the collection system into a plastic collection bucket at the bottom of the tree. Rainwater was collect at an open area near approximately two kilometres away from the throughfall collectors as a suitable site could not be found close to the location of the throughfall and stemflow sites.\n\nA plastic pipe cut in half lengthways was placed under the stream bank to capture the overland flow and set at an angle to drain into a receiver bucket through a hole cut on the side of the bucket. The bucket was covered with a lid to prevent leaves and other litter falling in. All collectors were emptied after each rain event and when sufficient volume had been collected. Samples were taken for Dissolved Organic Carbon (DOC) and Particulate Organic Carbon (POC) analysis. On a small subset Dissolved Inorganic Carbon (DIC) samples were also collected. DIC samples were collected in pre-acidified (150 micro litre of concentrated phosphoric acid) evacuated 12 millilitre (ml) exetainers (Labco Ltd). Using a 10 ml syringe (rinsed with sample water 3 times) sample was injected into the exetainers and the needle withdrawn under water to prevent air ingress. On each sampling occasion triplicate exetainers were filled. Nutrient cations were measured in rain water and throughfall only.\n\nDOC samples were collected in polyethylene bottles and filtered through pre-furnaced (8 hours at 450 degrees Celsius) 0.7 micro metre glassfibre filter paper (Whatman GF/F) on the day of sampling and stored refrigerated in Nalgene bottles. Prior to the analysis aliquots of the samples were acidified to pH 3.9 and degassed to remove any DIC and analysed for DOC concentration by combustion (Thermalox TOC 2020, Analytical Sciences). The filter papers were air-dried and stored in air tight containers with indicating silica gel as a drying agent. POC concentration was measured by loss on ignition. In the laboratory the filter papers were first oven dried (3 hours at 105 degrees Celsius) to establish the dry weight which was measured on a five figure balance. Then the filter papers were furnace (16 hours at 375 degrees Celsius) and re-weighed. The weight loss was converted to mg C assuming percentage Organic Carbon is equal to 50 percent. \n\nAliquots of the filtered water sample were analysed for calcium (Ca) and magnesium (Mg) by Atomic Absorption Spectrometry (Perkin Elmer Analyst 400). Potassium (K) and sodium (Na) concentrations were determined by flame photometry (Sherwood Scientific M410). Colorimetric method was used to measure total dissolved phosphorus (totP) and silicon (Si). Phosphorus analysis is based on the formation of a phosphomolybdate complex which is then reduced using ascorbic acid to give blue colour that can be measured at 880 or 700 Nano metres (nm). Silica was converted to a coloured compound using the Heteropoly Blue Molybdosilicate method (American Public Health Association, 1999) and measured at 650 nm.\n\nData was entered into Excel spreadsheets and exported as comma separated files for ingestion into the Environmental Information Data Centre (EIDC)","locations":["POLYGON((-69.301 -12.841, -69.301 -12.828, -69.286 -12.828, -69.286 -12.841, -69.301 -12.841))"],"metadataDate":"2026-09-15T08:43:30.000Z","orcid":["0000-0001-6263-1252","0000-0002-2683-0761","0000-0001-7594-3693"],"organisation":["University of Glasgow","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59bdb8f6-fb1f-418f-a53c-394f6c68a334","10.5285/59bdb8f6-fb1f-418f-a53c-394f6c68a334","doi:10.5285/59bdb8f6-fb1f-418f-a53c-394f6c68a334"],"resourceType":"Dataset","ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"Aquatic carbon (dissolved inorganic carbon (DIC), dissolved organic carbon (DOC) and particulate organic carbon and the carbon isotopic composition of DIC) and nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) in rainfall fractions…","state":"published","supplementalDescription":["Waldron, S., E. M. Scott, L. E. Vihermaa, and J. Newton (2014), Quantifying precision and accuracy of measurements of dissolved inorganic carbon stable isotopic composition using continuous-flow isotope-ratio mass spectrometry, Rapid. Commun. Mass Sp., 28(10), 1117-1126."],"temporalExtentText":"Data collected from 2012 to 2012","title":"Carbon and nutrient data for rainfall fractions in the Peruvian Amazon","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2018 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"396c1249-84f0-4ca0-891d-4188d750c1ee","incomingCitationCount":0,"keyword":["Northern ireland","UK-SCAPE","Land cover","land cover"],"keywordsOther":["land cover"],"keywordsPlace":["Northern ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-11-05T14:39:31.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/396c1249-84f0-4ca0-891d-4188d750c1ee","10.5285/396c1249-84f0-4ca0-891d-4188d750c1ee","doi:10.5285/396c1249-84f0-4ca0-891d-4188d750c1ee"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Land Cover Map 2018 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Essex"],"authorFamilyName":["Leung","Whitby","Nedwell","Dong"],"authorFullName":["Leung, G.","Whitby, C.","Nedwell, D.","Dong, L."],"authorGivenName":["G.","C.","D.","L."],"authorRor":["https://ror.org/02nkf1q06"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification and mineralization rates. Data were collected between February 2013 and November 2014. Data were collected to address the hypotheses of how the functional microbial community involved in carbon and nitrogen cycling changed seasonally and with geology. Data were collected as part of the project \"The role of lateral exchange in modulating the seaward flux of C, N, P\", funded under NERC's Macronutrients Cycles research programme. ","documentType":"GEMINI_DOCUMENT","familyName":["Leung","Whitby","Nedwell","Dong","Warren"],"fullName":["Leung, G.","Whitby, C.","Nedwell, D.","Dong, L.","Warren, S."],"funder":["Natural Environment Research Council"],"givenName":["G.","C.","D.","L.","Scott"],"grant":["NE/J012106/1"],"identifier":"83f83414-f644-4684-ad5b-e1237fb12fc5","incomingCitationCount":0,"keyword":["acetate","flouride","formate","magnesium","potassium","sodium","archaea","methane production potential","methane oxidation potential","mineralisation","carbon cycle","nitrogen cycle","denitrification","nitrification","bacterium","calcium","ammonium","sulphate","phosphate","nitrite","nitrate","carbon"],"keywordsOther":["acetate","flouride","formate","magnesium","potassium","sodium","archaea","methane production potential","methane oxidation potential","mineralisation","carbon cycle","nitrogen cycle","denitrification","nitrification","bacterium","calcium","ammonium","sulphate","phosphate","nitrite","nitrate","carbon"],"licence":"Open government licence","lineage":"At each site, 9 soil samples were taken within a 40 x 40 m transect at 20 m intervals. From these samples, sub-samples were taken and stored differently depending on what analysis was done. All data were collected using standard methodologies as detailed in the supporting information.","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-07-25T08:37:35.000Z","organisation":["University of Essex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/83f83414-f644-4684-ad5b-e1237fb12fc5","10.5285/83f83414-f644-4684-ad5b-e1237fb12fc5","doi:10.5285/83f83414-f644-4684-ad5b-e1237fb12fc5"],"resourceType":"Dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/02nkf1q06","https://ror.org/04xw4m193"],"shortenedDescription":"Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Carbon and nitrogen cycling in chalk, greensand and clay soils over a seasonal cycle in the Hampshire Avon catchment","version":1.0,"view":["public","hajd"]},{"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":"2026-09-15T08:44:46.000Z","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","temporalExtentText":"Data collected from 2009 to 2009","title":"Chimney Meadow (Church Field) soil water retention measurements (pF curves)","topic":["0/Soil/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Aberdeen"],"authorFamilyName":["Tetzlaff","Lessels","Wookey"],"authorFullName":["Tetzlaff, D.","Lessels, J.","Wookey, P."],"authorGivenName":["D.","J.","P."],"authorOrcid":["0000-0001-5957-6424"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise meteorological measurements (mean, minimum and maximum daily air temperature, minimum and maximum daily relative humidity, wind speed (kilometres per second at 10metres height), dew point temperature, estimated actual vapour pressure, precipitation, estimated surface resistance, estimated albedo and estimated Potential evapotranspiration (PET)) for the Siksik catchment, North West Territories, Canada for 2013 and 2014.\n\nThe data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. ","documentType":"GEMINI_DOCUMENT","familyName":["Tetzlaff","Lessels","Wookey","Sprenger"],"fullName":["Tetzlaff, D.","Lessels, J.","Wookey, P.","Sprenger, M."],"givenName":["D.","J.","P.","Matthias"],"identifier":"5bb560ee-15bf-4ab9-8c2e-3a76c688e69d","incomingCitationCount":0,"keyword":["Siksik catchment","Canada","North West Territories","NERC Arctic programme","temperature","wind speed","pressure","resistance","Perma-Hydro-C","HYDRA","catchment","evapotranspiration","albedo","atmospheric humidity","meteorology"],"keywordsOther":["temperature","wind speed","pressure","resistance","Perma-Hydro-C","HYDRA","catchment","evapotranspiration","albedo","atmospheric humidity","meteorology"],"keywordsPlace":["Siksik catchment","Canada","North West Territories"],"keywordsProject":["NERC Arctic programme"],"licence":"Open government licence","lineage":"Meteorological data for the Siksik catchment, North West Territories, Canada at Longitude: 133. 26' 26\" W, Latitude: 68. 44' 17\"N Elevation: 85 metres, Watershed area: ~1 kilometre squared, time zone: Mountain Standard Time.\n\nDaily air temperature, relative humidity, wind speed, dew point and precipitation data was taken from http://climate.weather.gc.ca. Climate data was used to estimate actual vapour pressure and surface resistance using FAO methods. Potential evapotranspiration (PET) was estimated using the data and the Penman-Monteith method. Albedo was estimated using hobo shortwave sensor. Thaw depth was estimated using observations and the square root of degree day temperature. Thaw volume was based on thaw depth estimates.","locations":["POLYGON((-141.003 41.681, -141.003 83.111, -52.62 83.111, -52.62 41.681, -141.003 41.681))"],"metadataDate":"2026-09-15T08:40:17.000Z","orcid":["0000-0001-5957-6424","0000-0003-1221-2767"],"organisation":["University of Aberdeen","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5bb560ee-15bf-4ab9-8c2e-3a76c688e69d","10.5285/5bb560ee-15bf-4ab9-8c2e-3a76c688e69d","doi:10.5285/5bb560ee-15bf-4ab9-8c2e-3a76c688e69d"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise meteorological measurements (mean, minimum and maximum daily air temperature, minimum and maximum daily relative humidity, wind speed (kilometres per second at 10metres height), dew point temperature, estimated actual vapour pressure, precipitation, estimated…","state":"published","supplementalName":[" NERC Arctic Research Programme","Hydrological Controls on Carbon Cycling and Greenhouse Gas Budgets (HYDRA)"],"temporalExtentText":"Data collected from 2013 to 2014","title":"Meteorological data for the Siksik catchment, North West Territories, Canada for 2013 and 2014","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Farkas","Green","Cross","Jones"],"authorFullName":["Farkas, K.","Green, E.","Cross, P.","Jones, D.L."],"authorGivenName":["K.","E.","P.","D.L."],"authorOrcid":["0000-0002-7068-3228"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the answers gathered from the 806 participants who successfully finished an on-line survey on risk perception of environment-associated risks. The survey was launched on the 15th of February 2018 and ran for five days. The survey contained best worst scaling (BWS) to understand people's perceptions to certain risks. In this study sixteen risks were included in the BWS including four air-, food- and waterborne illnesses and twelve other hazards. The BWS was run in two blocks to consider two factors: first the respondents selected which risk they fear the most/least and in the second block they selected the risk they believed they had the most/least control. The survey also contained a detailed questionnaire on the participants eating habits and health status. Participants were also asked about their knowledge on enteric pathogens and whether they have ever sought or would consider seeking advice on the symptoms. Respondents were also asked whether they have experienced the hazards described in the BWS and whether they have done anything to reduce the risks in their life. \n\nThe data were collected to gather information on people perceptions on environment-associated risks. This was done to understand the common knowledge on environment-associated pollutants and enlighten issues regarding risk management and mitigation. \n\nThe data were collected as part of the VIRAQUA project was funded by the Natural Environment Research Council (NERC) under the Environmental Microbiology and Human Health (EMHH) Programme (NE/M010996/1).","documentType":"GEMINI_DOCUMENT","familyName":["Farkas","Green","Cross","Jones"],"fullName":["Farkas, K.","Green, E.","Cross, P.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["K.","E.","P.","D.L."],"grant":["NE/M010996/1"],"identifier":"0869d961-99ca-4946-9192-f35afccdda38","incomingCitationCount":0,"keyword":["Norovirus","social survey"],"keywordsOther":["Norovirus","social survey"],"licence":"Open government licence","lineage":"All data was collected online and facilitated by Research Now Ltd, UK. The company provided a spreadsheet with answers from 1006 respondents. Responses taking less than 5 minutes to complete the survey and those giving repetitive answers were excluded. The number of respondents included in the dataset is 806. The spreadsheet was converted to a CSV file for ingestion into the EIDC.","metadataDate":"2026-07-24T18:57:31.000Z","orcid":["0000-0002-7068-3228"],"organisation":["Bangor University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0869d961-99ca-4946-9192-f35afccdda38","10.5285/0869d961-99ca-4946-9192-f35afccdda38","doi:10.5285/0869d961-99ca-4946-9192-f35afccdda38"],"resourceType":"Non-geographic dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the answers gathered from the 806 participants who successfully finished an on-line survey on risk perception of environment-associated risks. The survey was launched on the 15th of February 2018 and ran for five days. The survey contained best…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Perception of environmental and other risks - data from a 2018 social science questionnaire in the UK","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"c726249f-c2d8-4aeb-9af2-60a40de40be2","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","pH","grassland","soil","salt marsh"],"keywordsOther":["pH","grassland","soil","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Soil pH was measured from within each 1metre (m) x 1m quadrat using a combined pH/electrical conductivity probe. The location of the sample sites was determined by randomly allocated quadrats. Results were recorded onto field sheets. These data were transferred into an Excel file. Results were exported as comma separated value files for ingestion into the EIDC. Each site consisted of a rectangular area of saltmarsh between 400 x 500 m to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:39:26.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c726249f-c2d8-4aeb-9af2-60a40de40be2","10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2","doi:10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil pH on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Thackeray","De Ville","Fletcher","James","Maberly","Mackay","Winfield"],"authorFullName":["Thackeray, S.J.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Maberly, S.C.","Mackay, E.B.","Winfield, I.J."],"authorGivenName":["S.J.","M.M.","J.M.","J.B.","S.C.","E.B.","I.J."],"authorOrcid":["0000-0003-3274-2706","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903","0000-0001-5697-7062","0000-0001-9296-5114"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of phyto- and zooplankton counts, chlorophyll concentration and fish catch data from the Cumbrian Lakes (Blelham Tarn, Esthwaite Water, Windermere north and south basins). The data span the years 1940 to 2013 but time series vary in length among different species and sites, and fish data are only available from Windermere. The original data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989.","documentType":"GEMINI_DOCUMENT","familyName":["Thackeray","De Ville","Fletcher","James","Maberly","Mackay","Winfield"],"fullName":["Thackeray, S.J.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Maberly, S.C.","Mackay, E.B.","Winfield, I.J.","Thackeray, S."],"givenName":["S.J.","M.M.","J.M.","J.B.","S.C.","E.B.","I.J.","Stephen"],"identifier":"1de49dab-c36e-4700-8b15-93a639ae4d55","incomingCitationCount":1,"keyword":["Lake District","Blelham Tarn","Esthwaite Water","Windermere","zooplankton","phytoplankton","fish","chlorophyll","lake","freshwater"],"keywordsOther":["zooplankton","phytoplankton","fish","chlorophyll","lake","freshwater"],"keywordsPlace":["Lake District","Blelham Tarn","Esthwaite Water","Windermere"],"licence":"Non-Open government licence","lineage":"The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. For further information, refer to the supporting documentation.","locations":["POLYGON((-2.99 54.26, -2.99 54.44, -2.91 54.44, -2.91 54.26, -2.99 54.26))"],"metadataDate":"2026-09-15T08:46:17.000Z","orcid":["0000-0003-3274-2706","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903","0000-0001-5697-7062","0000-0001-9296-5114"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1433425781336","CEH:EIDC::1433425781336","https://catalogue.ceh.ac.uk/id/1de49dab-c36e-4700-8b15-93a639ae4d55","10.5285/1de49dab-c36e-4700-8b15-93a639ae4d55","doi:10.5285/1de49dab-c36e-4700-8b15-93a639ae4d55"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of phyto- and zooplankton counts, chlorophyll concentration and fish catch data from the Cumbrian Lakes (Blelham Tarn, Esthwaite Water, Windermere north and south basins). The data span the years 1940 to 2013 but time series vary in length among…","state":"published","temporalExtentText":"Data collected from 1940 to 2013","title":"Cumbrian Lakes plankton and fish data (1940 to 2013)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Oxford","State University of New York Downstate"],"authorFamilyName":["Erezyilmaz","Lu"],"authorFullName":["Erezyilmaz, D.F.","Lu, K."],"authorGivenName":["D.F.","K. "],"authorOrcid":["0000-0001-8416-8561"],"authorRor":["https://ror.org/052gg0110","https://ror.org/01q1z8k08"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource contains Drosophila simulans backcross female mate choice (phenotype) aligned with whole-genome genotypes of 784 female backcross progeny. The data were generated in a laboratory at Stony Brook University, New York and each test was conducted in 28.5 x 95mm plastic vials. Phenotype data was collected in 2015 and the final analysis was completed in 2021. Illumina libraries were sequenced at University of Oregon G3 Genomics Center, and the multiplexed shotgun genotyping (MSG) software was run at Janelia Research Campus, Virginia. The experiments were conducted to align the genotype of females with behavioural phenotype, female preference. Three test females were allowed to choose from three males of either species. ‘Choice’ was determined by copulation, and the species of ‘chosen’ male was recorded before gDNA was extracted from the female.\n\nStandard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing. Deniz Erezyilmaz was responsible for data collection and interpretation. Those genomes with incomplete or inconsistent genomes due to sparse reads/coverage were eliminated from the analysis.\n\nThe research was funded through NERC grant NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization.","documentType":"GEMINI_DOCUMENT","familyName":["Erezyilmaz","Lu"],"fullName":["Erezyilmaz, D.F.","Lu, K.","Erezyilmaz, D."],"funder":["Natural Environment Research Council"],"givenName":["D.F.","K. ","Deniz"],"grant":["NE/S010351/1"],"identifier":"8dde3529-1cf7-4b0f-907d-a1631f38afd7","incomingCitationCount":1,"keyword":["QTL analysis","Assortative Hybridization","Quantitative trait locus (QTL) analysis","hybridisation","speciation","assortative mating","Drosophila simulans"],"keywordsOther":["QTL analysis","Assortative Hybridization","Quantitative trait locus (QTL) analysis","hybridisation","speciation","assortative mating","Drosophila simulans"],"licence":"Open government licence","lineage":"The Drosophila simulans backcross genotypes were obtained by Multiplexed Shotgun Genotyping (Andolfatto et al, 2011), and the files were thinned using David Stern’s (Janelia Research Campus) script, pull_thin (Github) were obtained by two-choice assay, females choosing between D. simulans and D. sechellia males. \n\nStandard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing., as described in Andolfatto, P., Davison, D., Erezyilmaz, D., Hu, T.T., Mast, J., Sunayama-Morita, T., & Stern, D.L. (2011). Multiplexed shotgun genotyping for rapid and efficient genetic mapping. In Genome Research (Vol. 21, Issue 4, pp. 610–617). Cold Spring Harbor Laboratory.  https://doi.org/10.1101/gr.115402.110","metadataDate":"2026-07-25T08:42:39.000Z","orcid":["0000-0001-8416-8561"],"organisation":["University of Oxford","State University of New York Downstate","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8dde3529-1cf7-4b0f-907d-a1631f38afd7","10.5285/8dde3529-1cf7-4b0f-907d-a1631f38afd7","doi:10.5285/8dde3529-1cf7-4b0f-907d-a1631f38afd7"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/01q1z8k08","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource contains Drosophila simulans backcross female mate choice (phenotype) aligned with whole-genome genotypes of 784 female backcross progeny. The data were generated in a laboratory at Stony Brook University, New York and each test was conducted in 28.5…","state":"published","supplementalDescription":["Andolfatto, P., Davison, D., Erezyilmaz, D., Hu, T.T., Mast, J., Sunayama-Morita, T., & Stern, D.L. (2011). Multiplexed shotgun genotyping for rapid and efficient genetic mapping. In Genome Research (Vol. 21, Issue 4, pp. 610–617). Cold Spring Harbor Laboratory."],"title":"Genotype-phenotype association for mate choice in progeny of Drosophila simulans backcross","version":1.0,"view":["public","danor"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}