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L.","Tadas","Alice","Erin","Nicholas"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets contain sampled fuel moisture content data for vegetation, organic soil and leaf litter as part of the UK Fire Danger Rating System project funded by NERC (NE/T003553/1). The sampled vegetation comprises both live and dead heather, gorse, bracken, moor grass and moss. Where relevant, the canopy/leaves and stem were sampled separately. The datasets also contain associated information about the sample site characteristics (land cover class, elevation, slope and aspect) and meteorological variables (temperature, relative humidity and wind speed at the time of sampling). There are three datasets included which represent three separate studies: (i) UK-wide dataset which contains samples from sites across the UK from 2021-2023; (ii) North Yorkshire Moors dataset which contains samples from the North Yorkshire Moors, where sites were chosen to represent a combination of landscape characteristics, from five days in 2021; (iii) West Midlands dataset which contains samples from multiple volunteers on one day only across two sites.","documentType":"GEMINI_DOCUMENT","familyName":["Ivison","Belcher","Clay","Crawford","Doerr","Elliott","Graham","Lewis","Little","Morison","Nikonovas","Orpin","Stoll","Kettridge"],"fullName":["Nick Kettridge","Ivison, K.","Belcher, C.M.","Clay, G.D.","Crawford, A.J.","Doerr, S.H.","Elliott, A.","Graham, L.J.","Lewis, C.","Little, K.","Morison, J.I.L.","Nikonovas, T.","Orpin, A.","Stoll, E.","Kettridge, N."],"funder":["Natural Environment Research Council"],"givenName":["Katy","Claire M.","Gareth D.","Alastair J.","Stefan H.","Andrew","Laura J.","Chloe","Kerryn","James I. L.","Tadas","Alice","Erin","Nicholas"],"grant":["NE/T003553/1"],"identifier":"9334118f-3389-4a13-89a1-d75ec6fcc43a","incomingCitationCount":0,"keyword":["North Yorkshire Moors","West Midlands","Environmental risk","wildfire","temperate","fuel moisture content"],"keywordsOther":["wildfire","temperate","fuel moisture content"],"keywordsPlace":["North Yorkshire Moors","West Midlands"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Data were collected by sampling vegetation. The sampler established 20 m transects at sample sites and collected samples between 11:00 and 17:00 local time. For heather, gorse and bracken, stems and either canopy (heather, gorse) or leaves (bracken) were sampled separately, and for all vegetation both live and dead samples were taken. Live moss samples were collected by pinching the top two cm of moss from the soil surface, and litter samples were collected by pinching the top two cm of dead leaf litter from soil surface, at ca. 10 points along the transect. These two fuel types were sampled separately, and if both occurred together the constituents were separated. For the organic layer, defined as the organic material beneath the surface litter and above the mineral soil, the top 5 cm of soil was sampled at four points along the transect. In forested sites, twigs (<5 mm diameter) were collected from fallen branches at ca. 10 points along the transect. Only those which were not in contact with the floor were collected. The same fuel constituents sampled along the transects were combined within aluminium screw-fit tins that were sealed with masking tape. Gravimetric fuel moisture content (FMC) was calculated by weighing the collected samples, drying them for 48 h at 80 °C and then reweighing the dried samples. The FMC is calculated as:\n(W - D)/(D - T) * 100\nwhere W = wet weight (g), D = dry weight (g) and T = the weight of the sample tin (g).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:28:58.000Z","organisation":["University of Birmingham","University of Exeter","University of Manchester","Swansea University","Forest Research","University of the Highlands and Islands","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9334118f-3389-4a13-89a1-d75ec6fcc43a","10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a","doi:10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a"],"resourceType":"Dataset","rightsHolder":["University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets contain sampled fuel moisture content data for vegetation, organic soil and leaf litter as part of the UK Fire Danger Rating System project funded by NERC (NE/T003553/1). The sampled vegetation comprises both live and dead heather, gorse, bracken, moor…","state":"published","title":"Fuel moisture content of vegetation in the UK, 2021-2023, measured as part of UK Fire Danger Rating System","topic":["0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University College London"],"authorFamilyName":["Laize","Thompson"],"authorFullName":["Laize, C.L.R.","Thompson, J.R."],"authorGivenName":["C.L.R.","J.R."],"authorOrcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8927-6462"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02jx3x895"],"availability":"Available","catalogue":"eidc","dataFormat":["R package"],"description":"This application is an implementation of the Ecological Risk due to Flow Alteration (ERFA) method in R language. This method assesses the potential impact of flow change on river ecosystems.\n\nAlthough the code was developed with a geographical focus on southeast Asia (example datasets are provided for the Mekong River Basin), it can be applied for any location where baseline and scenario monthly river flow time series are available.\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.","documentType":"GEMINI_DOCUMENT","familyName":["Laize","Thompson"],"fullName":["Laize, C.","Laize, C.L.R.","Thompson, J.R."],"givenName":["Cedric","C.L.R.","J.R."],"identifier":"98ec8073-7ebd-44e5-aca4-ebcdefa9d044","incomingCitationCount":0,"keyword":["Environmental risk","Modelling","Flow alteration","River ecosystem","Ecological risk","Ecohydrology","Hydroecology"],"keywordsOther":["Flow alteration","River ecosystem","Ecological risk","Ecohydrology","Hydroecology"],"keywordsTheme":["Environmental risk","Modelling"],"licence":"Non-Open government licence","lineage":"This application comprises a series of R scripts and also uses the Shiny R package. It was developed using R version 3.4.2 and Shiny version 1.0.5 and has been tested up to R version 3.6.1 and Shiny version 1.3.2 on both the Windows and MacOS operating systems. 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This method assesses the potential impact of flow change on river ecosystems.\n\nAlthough the code was developed with a geographical focus on southeast Asia…","state":"published","supplementalName":["TEFRIC Project web site"],"title":"R implementation of the Ecological Risk due to Flow Alteration (ERFA) method","topic":["0/Environmental risk/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ecological Surveys (Bangor)","Unaffiliated","Penny Anderson","Agricultural Development Advisory Service (United Kingdom)","Severn Rivers Trust"],"authorFamilyName":["Maskell","Smart","Brentegani","Deacon","Emmett","Fitos","Garbutt","Lucas","Monkman","Reinsch","Richardson-Jones","Wallace","Williams","Wood","Ardeshir","Biddle","Boffey","Cope","Forster Brown","Fothergill","Friend","Handley","Higgins","Scott","Shepherd","Ward","Winder"],"authorFullName":["Maskell, L.C.","Smart, S.M.","Brentegani, M.","Deacon, A.","Emmett, B.A.","Fitos, E.","Garbutt, A.","Lucas, J.R.","Monkman, G.","Reinsch, S.","Richardson-Jones, V.","Wallace, H.L.","Williams, B.","Wood, C.M.","Ardeshir, D.","Biddle, A.","Boffey, C.","Cope, S.","Forster Brown, C.","Fothergill, C.","Friend, R.","Handley, J.","Handley, T.","Higgins, A.","Scott, H.","Shepherd, S.","Ward, T.","Jan Winder","Jon Winder"],"authorGivenName":["L.C.","S.M.","M.","A.","B.A.","E.","J.R.","G.","S.","V.","H.L.","B.","C.M.","D.","C.","R.","J.","T.","H.","Jan","Jon"],"authorOrcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0001-9426-7168","https://orcid.org/0009-0006-1122-0924","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-5346-0228","https://orcid.org/0000-0002-5645-1834","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0009-0005-8292-4905","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006d11e04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes records of plant species and abundance from within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2023.\n\nERAMMP NFS is a resurvey of all of the 300 locations from the initial Glastir Monitoring and Evaluation Programme (GMEP) monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. Between 2021-2023 ERAMMP National Field Survey resurveyed 225 of those 300 for plant species and abundance. The initial monitoring program, GMEP, was set up by the Welsh Government in 2013 to report national trends and monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.\n\nThe field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Smart","Brentegani","Deacon","Emmett","Fitos","Garbutt","Lucas","Monkman","Reinsch","Richardson-Jones","Wallace","Williams","Wood","Ardeshir","Biddle","Boffey","Cope","Forster Brown","Fothergill","Friend","Handley","Higgins","Scott","Shepherd","Ward","Winder"],"fullName":["Maskell, L.C.","Smart, S.M.","Brentegani, M.","Deacon, A.","Emmett, B.A.","Fitos, E.","Garbutt, A.","Lucas, J.R.","Monkman, G.","Reinsch, S.","Richardson-Jones, V.","Wallace, H.L.","Williams, B.","Wood, C.M.","Ardeshir, D.","Biddle, A.","Boffey, C.","Cope, S.","Forster Brown, C.","Fothergill, C.","Friend, R.","Handley, J.","Handley, T.","Higgins, A.","Scott, H.","Shepherd, S.","Ward, T.","Jan Winder","Jon Winder"],"funder":["Welsh Government"],"givenName":["L.C.","S.M.","M.","A.","B.A.","E.","J.R.","G.","S.","V.","H.L.","B.","C.M.","D.","C.","R.","J.","T.","H.","Jan","Jon"],"identifier":"59e3be5c-8ac8-45cd-8e98-a69732755dc6","incomingCitationCount":0,"keyword":["Wales","Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP)","Biodiversity","Environmental survey","vascular plants","agri-environment scheme","bryophyte","tree"],"keywordsOther":["vascular plants","agri-environment scheme","bryophyte","tree"],"keywordsPlace":["Wales"],"keywordsProject":["Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP)"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"Within each of 225 x 1km sample squares across Wales, a set of vegetation plots of varying sizes were recorded by professional botanists, comprising covers of vascular plants. Data were recorded on electronic recording devices, and then transferred to secure databases at the UK Centre for Ecology & Hydrology.\n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-06-29T16:14:35.000Z","orcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0001-9426-7168","https://orcid.org/0009-0006-1122-0924","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-5346-0228","https://orcid.org/0000-0002-5645-1834","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0009-0005-8292-4905","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Ecological Surveys (Bangor)","Unaffiliated","Penny Anderson","Agricultural Development Advisory Service (United Kingdom)","Severn Rivers Trust","Welsh Government","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59e3be5c-8ac8-45cd-8e98-a69732755dc6","10.5285/59e3be5c-8ac8-45cd-8e98-a69732755dc6","doi:10.5285/59e3be5c-8ac8-45cd-8e98-a69732755dc6"],"resourceType":"Dataset","rightsHolder":["Welsh Government"],"ror":["https://ror.org/00pggkr55","https://ror.org/006d11e04","https://ror.org/000wh6t45","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes records of plant species and abundance from within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2023.\n\nERAMMP…","state":"published","title":"Vegetation plot data from the Environment and Rural Affairs Monitoring & Modelling Programme, Wales, 2021-2023","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Furse","Davy-Bowker","Dawson","Gunn","Blackburn","Winder","Scarlett","Gravelle","Kneebone","Nesbitt","Amarillo","Brereton","Cannan","Collett","Collier","Cooper","Dent","Fairfax","Hardie","Henville","Hilton","James","Moorhouse","Randle","Shirley","Small","Vowles","Clarke","Watkins"],"authorFullName":["Furse, M.T.","Davy-Bowker, J.","Dawson, F.H.","Gunn, R.J.M.","Blackburn, J.H.","Gunn, I.M.","Winder, J.M.","Scarlett, P.M.","Gravelle, M.","Kneebone, N.","Nesbitt, I.","Amarillo, M.","Brereton, C.","Cannan, C.","Collett, G.","Collier, D.","Cooper, G.","Dent, M.","Fairfax, C.M.","Hardie, D.","Henville, P.","Hilton, C.","James, B.","Moorhouse, C.","Randle, Z.","Shirley, C.","Small, S.R.","Vowles, K.E.","Clarke, R.T.","Watkins, J.W."],"authorGivenName":["M.T.","J.","F.H.","R.J.M.","J.H.","I.M.","J.M.","P.M.","M.","N.","I.","C.","G.","D.","C.M.","P.","B.","Z.","S.R.","K.E.","R.T.","J.W."],"authorOrcid":["https://orcid.org/0000-0001-6242-8158"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of macrophyte species records, sampled from headwater streams during a survey in 1998. Stream macrophytes in Countryside Survey are surveyed using the standard MTR (Mean Trophic Rank) protocol, which records the presence and extent (on a categorical scale) of macrophytes in a 100m reach.\n\nData were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Scarlett","Furse","Davy-Bowker","Dawson","Gunn","Blackburn","Winder","Gravelle","Kneebone","Nesbitt","Amarillo","Brereton","Cannan","Collett","Collier","Cooper","Dent","Fairfax","Hardie","Henville","Hilton","James","Moorhouse","Randle","Shirley","Small","Vowles","Clarke","Watkins"],"fullName":["Scarlett, P.","Furse, M.T.","Davy-Bowker, J.","Dawson, F.H.","Gunn, R.J.M.","Blackburn, J.H.","Gunn, I.M.","Winder, J.M.","Scarlett, P.M.","Gravelle, M.","Kneebone, N.","Nesbitt, I.","Amarillo, M.","Brereton, C.","Cannan, C.","Collett, G.","Collier, D.","Cooper, G.","Dent, M.","Fairfax, C.M.","Hardie, D.","Henville, P.","Hilton, C.","James, B.","Moorhouse, C.","Randle, Z.","Shirley, C.","Small, S.R.","Vowles, K.E.","Clarke, R.T.","Watkins, J.W."],"givenName":["P.","M.T.","J.","F.H.","R.J.M.","J.H.","I.M.","J.M.","P.M.","M.","N.","I.","C.","G.","D.","C.M.","B.","Z.","S.R.","K.E.","R.T.","J.W."],"identifier":"e0b638d5-8271-4442-97ef-cf46ea220f5d","incomingCitationCount":0,"keyword":["Countryside Survey","Environmental survey","Water quality"," Stream macrophytes"],"keywordsOther":[" Stream macrophytes"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"Data were collected in the summer of 1998 by field surveyors. Data were recorded from up to 569 1km squares sited across Britain, selected by random stratified sample. The survey was undertaken according to standardized protocols. Occurrence and abundance of species was recorded on paper and data were entered post-survey.  Data are managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T13:18:24.000Z","orcid":["https://orcid.org/0000-0001-6242-8158"],"organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology"],"publicationDate":"2016-11-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e0b638d5-8271-4442-97ef-cf46ea220f5d","10.5285/e0b638d5-8271-4442-97ef-cf46ea220f5d","doi:10.5285/e0b638d5-8271-4442-97ef-cf46ea220f5d"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This dataset consists of macrophyte species records, sampled from headwater streams during a survey in 1998. Stream macrophytes in Countryside Survey are surveyed using the standard MTR (Mean Trophic Rank) protocol, which records the presence and extent (on a categorical…","state":"published","supplementalName":["Countryside Survey website","Further information available in project report"],"title":"Headwater stream macrophyte data 1998 [Countryside Survey]","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Bath ","7 Lakes Alliance"],"authorFamilyName":["Slavin","Wain"],"authorFullName":["Slavin, E.I.","Wain, D.J."],"authorGivenName":["E.I.","D.J."],"authorOrcid":["https://orcid.org/0000-0001-9400-0703","https://orcid.org/0000-0001-5091-102X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains water temperature measurements at two different locations in Durleigh Reservoir in Somerset, England. Water temperatures were measured using RBR SoloT thermistors (measured in deg C) and HOBO TidbiT v2 loggers (measured in deg F). The dataset consists of water temperature measurements from two  locations at Durleigh reservoir between 22 February 2018 and 5 October 2018. Measurements were taken at 10 minute intervals.","documentType":"GEMINI_DOCUMENT","familyName":["Slavin","Wain"],"fullName":["Slavin, E.I.","Wain, D.J.","Slavin, E."],"givenName":["E.I.","D.J.","Emily"],"identifier":"25d34c83-e939-40fd-aa16-6962efb4c731","incomingCitationCount":0,"keyword":["Water quality","Pollution","Environmental survey","reservoir"],"keywordsOther":["reservoir"],"keywordsTheme":["Water quality","Pollution","Environmental survey"],"licence":"Open government licence","lineage":"The first site, labelled location 2, is closer to the artificial mixing devices (surface mixers) installed in the reservoir (60 m away) and deeper, with a water depth of 6 m when on deployment (latitude: 51.1210, longitude: -3.0403). The second site, labelled location 3, is farther away from the artificial mixing devices installed in the reservoir (435 m away) and in a shallower region, with a water depth of 4 m on deployment (latitude: 51.1215, longitude: -3.0445). At location 2, RBR SoloT thermistors (measured in deg C) were positioned at 1 m intervals from the surface (0 m depth) to the bottom of the water column (6 m). However, in the dataset temperature measurements from thermistors positioned at 1 m, 2 m, and 3 m are missing due to corrupted files. At location 3, HOBO TidbiT v2 loggers (measured in deg F) were positioned at 1 m intervals from the surface (0 m depth) to the bottom of the water column (4 m depth). All water temperature measurements were taken at 10-minute intervals. Both temperature chains consisted of a buoy (A2 size) attached to a 10 kg weight using a rope, and the thermistors were attached onto the rope. All thermistors were deployed between 22 February and 5 October 2018. ","locations":["POLYGON((-3.056 51.118, -3.056 51.125, -3.037 51.125, -3.037 51.118, -3.056 51.118))"],"metadataDate":"2026-06-27T18:15:36.000Z","orcid":["https://orcid.org/0000-0001-9400-0703","https://orcid.org/0000-0001-5091-102X"],"organisation":["University of Bath ","7 Lakes Alliance","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/25d34c83-e939-40fd-aa16-6962efb4c731","10.5285/25d34c83-e939-40fd-aa16-6962efb4c731","doi:10.5285/25d34c83-e939-40fd-aa16-6962efb4c731"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains water temperature measurements at two different locations in Durleigh Reservoir in Somerset, England. Water temperatures were measured using RBR SoloT thermistors (measured in deg C) and HOBO TidbiT v2 loggers (measured in deg F). The dataset consists…","state":"published","title":"Water temperature measurements from Durleigh Reservoir 2018","topic":["0/Water quality/","0/Pollution/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Bath"],"authorFamilyName":["Kasprzyk-Hordern","Castrignano","Feil","Lewis"],"authorFullName":["Kasprzyk-Hordern, B.","Castrignano, E.","Feil, E.","Lewis, S."],"authorGivenName":["Barbara","E.","S."],"authorOrcid":["https://orcid.org/0000-0002-6809-2875","https://orcid.org/0000-0002-5555-9894","https://orcid.org/0000-0003-1446-6744","https://orcid.org/0000-0003-4555-4907"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Prevalence of quinolone qnrS resistance gene in the aquatic environment from the Avon river catchment area receiving treated wastewater from 5 wastewater treatment plants (WWTPs), serving 1.5 million people and accounting for 75% of inhabitants living in the catchment area in the South West of England.\n\nFunded by NERC 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":["Barbara","E.","S."],"grant":["NE/N019261/1"],"identifier":"102f8141-2a9a-4ffd-89f6-961af36ddcb3","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","resistance (biological)","antibiotic","waste water"],"keywordsOther":["resistance (biological)","antibiotic","waste water"],"keywordsTheme":["Water quality","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 qnrS gene quantification using made using dPCR (Digital PCR). See supporting documentation for further details.","locations":["POLYGON((-2.651 51.271, -2.651 51.528, -2.097 51.528, -2.097 51.271, -2.651 51.271))"],"metadataDate":"2026-06-29T17:25:13.000Z","orcid":["https://orcid.org/0000-0002-6809-2875","https://orcid.org/0000-0002-5555-9894","https://orcid.org/0000-0003-1446-6744","https://orcid.org/0000-0003-4555-4907"],"organisation":["University of Bath","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/102f8141-2a9a-4ffd-89f6-961af36ddcb3","10.5285/102f8141-2a9a-4ffd-89f6-961af36ddcb3","doi:10.5285/102f8141-2a9a-4ffd-89f6-961af36ddcb3"],"resourceType":"Dataset","ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"Prevalence of quinolone qnrS resistance gene in the aquatic environment from the Avon river catchment area receiving treated wastewater from 5 wastewater treatment plants (WWTPs), serving 1.5 million people and accounting for 75% of inhabitants living in the catchment…","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."],"title":"Concentrations of antibiotic resistance genes in wastewater and receiving waters following water treatment in SW England, June-October, 2015","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorGivenName":["K.","M.","H.","T.","V. C."],"authorOrcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin, cefalexin and tetracycline with detection of resistant strains presented in the dataset as a binary result. Farm-level antibiotic usage data is also given.","documentType":"GEMINI_DOCUMENT","familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"givenName":["K.","M.","H.","T.","V. C."],"identifier":"7c3ad803-fbd4-45c3-826b-fa04c902ded8","incomingCitationCount":0,"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":" This dataset is a subset of the \"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019\" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 37 farms including date, eartag numbers of animals in the immediate environment, sample type and descriptive location. 2. Records of microbiological analyses of the samples to identify those containing E. coli resistant to amoxicillin, cephalexin and/or tetracycline.  3. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-06-27T18:17:31.000Z","orcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c3ad803-fbd4-45c3-826b-fa04c902ded8","10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8","doi:10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin,…","state":"published","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","UK 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.","N.","M.D.","M.","D","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"authorOrcid":["https://orcid.org/0000-0001-6669-0356","https://orcid.org/0000-0003-4489-5363","https://orcid.org/0000-0001-9732-6725","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0002-8212-5872","https://orcid.org/0000-0002-3930-5974","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0003-1570-3764","https://orcid.org/0000-0001-8370-1221"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains monthly/annual time series of species-specific abundances and covariates for 137 targeted larval/juvenile fish surveys at sites in a range of English lowland rivers. Larval/juvenile fish data come from two different sources: The Environment Agency’s (EA) National Fish Population Database (NFPD) between 1974 and 2017 and a dataset created by the University of Hull (UoH) between 1984 and 2017 inclusive. Biological data consists of density estimates of each fish species from each survey (per metre squared) and also the average length of specified species at the end of their first year of growth. Covariate data include habitat quality indicator (River Habitat Survey), climatic variables (Gulf Stream and North Atlantic Oscillation indices), land-use change, river hydrology, water temperature, effluent dilution factor and concentrations of chemical determinands. This dataset was created as larvae and juveniles may be particularly useful indicators and respond differently than older fish to environmental stressors.\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.","N.","M.D.","M.","D","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"grant":["NE/S000100/2"],"identifier":"c904c5f0-7f21-4759-a7d4-c262da230b53","incomingCitationCount":0,"keyword":["England","Environmental survey","Water quality","pollution","hydrology","river","Larval fish","Juvenile fish","NFPD","Juvenile fish densities and pollution in English rivers","land use","Larval fish densities and pollution in English rivers","chemical","fish","Fish fry","land use change"],"keywordsOther":["pollution","hydrology","river","Larval fish","Juvenile fish","NFPD","Juvenile fish densities and pollution in English rivers","land use","Larval fish densities and pollution in English rivers","chemical","fish","Fish fry","land use change"],"keywordsPlace":["England"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Fish Data\nJuvenile fish density data was collected from two sources: the EA NFPD \"Freshwater Fish Counts for all species for all Areas and all Years\" dataset (1974-2017) and the UoH fish count dataset (1984-2017). Fish counts were converted into densities (numbers per m-2) by dividing species counts by the sampling area (converted NFPD units from 100 m-2 to m-2 to match UoH data). To determine the mean length of juvenile fish (chub, roach, common bream, dace, bleak, gudgeon, minnow, and three-spined sticklebacks) at the end of the growing season (last surveys between August and October), length frequency histograms were created for each species and survey using R 4.2.1. Only individuals in their first year were considered in the calculation, providing the mean length of first-year fish at the end of the growing season for each survey. 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.\n\nLand Use\nLand use in the catchment upstream of fish sites (NFPD) were calculated from the UKCEH 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 degC, indicating the total temperature sum for days exceeding 12 degC 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":"2026-06-29T16:16:53.000Z","orcid":["https://orcid.org/0000-0001-6669-0356","https://orcid.org/0000-0003-4489-5363","https://orcid.org/0000-0001-9732-6725","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0002-8212-5872","https://orcid.org/0000-0002-3930-5974","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0003-1570-3764","https://orcid.org/0000-0001-8370-1221"],"organisation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","UK Environment Agency","Agricultural University of Athens","NERC EDS Environmental Information Data Centre","The University of Hull"],"publicationDate":"2024-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c904c5f0-7f21-4759-a7d4-c262da230b53","10.5285/c904c5f0-7f21-4759-a7d4-c262da230b53","doi:10.5285/c904c5f0-7f21-4759-a7d4-c262da230b53"],"resourceType":"Dataset","rightsHolder":["The University of Hull"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains monthly/annual time series of species-specific abundances and covariates for 137 targeted larval/juvenile fish surveys at sites in a range of English lowland rivers. Larval/juvenile fish data come from two different sources: The Environment Agency’s…","state":"published","title":"Larval and juvenile fish abundance, habitat, water quality, flow and climate data from English rivers, 1984-2017","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute"],"authorFamilyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"authorFullName":["Barwell, L.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"authorGivenName":["L.","K.","G.","F.","D.E.L","R.","B.V"],"authorOrcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset scores the relative risks of Phytophthora x alni infection for 50034 fragments in Scotland identified as containing any of the three alder species susceptible to the pathogen (common alder, Italian alder and grey alder). Fragment risk scores integrate climate suitability (using pathogen-specific temperature-dependent growth curves and a relative humidity threshold), proximity to rivers/flooding, connectivity to other alder fragments via flood events and recent planting of alder under forestry grant schemes. Data and models used to score risk factors are variable in their time frames, but are broadly representative of the period from 2013 to 2023. Phytophthora disease of alder has been widespread in southern England since at least 1995 and became more prevalent in annual surveys between 1994 and 2003. It has been confirmed at several riparian sites in Scotland. P. x alni diseases are reported only from the alder genus.","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"funder":["Natural Environment Research Council","Scotland's Plant Health Centre","Department for Environment Food and Rural Affairs"],"givenName":["L.","K.","G.","F.","D.E.L","R.","B.V"],"grant":["NE/V019813/1","PHC2023/02","TH12224FR10"],"identifier":"824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","incomingCitationCount":0,"keyword":["Environmental risk","Environmental survey","biodiversity","exotic species","forest","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","Scotland"],"keywordsOther":["biodiversity","exotic species","forest","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","Scotland"],"keywordsTheme":["Environmental risk","Environmental survey"],"licence":"Open government licence","lineage":"We employed an iterative and collaborative co-production process that brought together stakeholders with diverse expertise from across Scotland's plant health sector representing forestry, conservation, horticulture, and government agencies through a semi-structured process of survey and workshops. Fragments containing alder species were extracted from the National Forest Estate Sub-compartments 2019, Native Woodland Survey of Scotland and global database of host-Phytophthora detections, removing any felled areas since 2013 using the National Forest Inventory. Key risk factors (climate suitability, proximity to rivers/flooding, connectivity to other alder fragments via flood events and recent planting of alder) and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of the climate suitability models has been attempted using independent UK and European detections of Phytophthora x alni.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:23:53.000Z","orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","10.5285/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","doi:10.5285/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset scores the relative risks of Phytophthora x alni infection for 50034 fragments in Scotland identified as containing any of the three alder species susceptible to the pathogen (common alder, Italian alder and grey alder). Fragment risk scores integrate climate…","state":"published","title":"Spatial risk analysis for Phytophthora x alni infection of alder fragments in Scotland","topic":["0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Noguera","Bulut","Chevuturi","Barker","Hannaford"],"authorFullName":["Noguera, I.","Bulut, B.","Chevuturi, A.","Barker, L.J.","Hannaford, J."],"authorGivenName":["I","B","A","L.J","J"],"authorOrcid":["https://orcid.org/0000-0002-0696-9504","https://orcid.org/0000-0003-4567-5258","https://orcid.org/0000-0003-2815-7221","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Here, we present the Global Multi-Index Drought (GMID) dataset, which includes some of the most used and widely recommended standardised drought indices: the Standardized Precipitation Index (SPI), the Evaporative Drought Demand Index (EDDI), the Standardized Precipitation Evapotranspiration Index (SPEI), the Standardized Evapotranspiration Deficit Index (SEDI), and the Standardized Vapor Pressure Deficit Index (SVPDI). This dataset is available on a global scale covering 1-12, 18, 24, 48-month time scales for the period 1980 to 2024, with high spatial (0.1 degrees) and temporal (weekly and monthly) resolution. GMID was generated using different meteorological input datasets, including: Multi-Source Weighted-Ensemble Precipitation (MSWEP) v2.8 (https://www.gloh2o.org/mswep/), Global Land Evaporation Amsterdam Model (GLEAM) v4.2a (https://www.gleam.eu/), and Multi-Source Weather (MSWX) vMSWX-Past (https://www.gloh2o.org/mswx/).\n\nThe GMID dataset is provided weekly and monthly, including two versions of the five drought indices: one generated using the \"reference\" approach (i.e., based on the probability distribution typically recommended in the literature for calculating these drought indices), and another using the \"best-fit\" approach (i.e., based on the probability distributions that provide better normalised resulting series for each case). GMID represents a comprehensive and robust global long-term dataset for drought (and flash drought) assessment, which will be further updated annually as input data become available.","documentType":"GEMINI_DOCUMENT","familyName":["Noguera","Bulut","Chevuturi","Barker","Hannaford"],"fullName":["Ivan Noguera","Noguera, I.","Bulut, B.","Chevuturi, A.","Barker, L.J.","Hannaford, J."],"funder":["Natural Environment Research Council"],"givenName":["I","B","A","L.J","J"],"grant":["NE/X006247/1"],"identifier":"f5ce92b0-03e8-4719-82ff-c62e6ebe927b","incomingCitationCount":0,"keyword":["Climate and climate change","Hydrology","Agriculture","Environmental risk","drought","flash drought","Standardized Precipitation Index (SPI)","Evaporative Drought Demand Index (EDDI)","Standardized Precipitation Evapotranspiration Index (SPEI)","Standardized Evapotranspiration Deficit Index (SEDI)","Standardized Vapor Pressure Deficit Index (SVPDI)","standardized drought indices","multiscalar"],"keywordsOther":["drought","flash drought","Standardized Precipitation Index (SPI)","Evaporative Drought Demand Index (EDDI)","Standardized Precipitation Evapotranspiration Index (SPEI)","Standardized Evapotranspiration Deficit Index (SEDI)","Standardized Vapor Pressure Deficit Index (SVPDI)","standardized drought indices","multiscalar"],"keywordsTheme":["Climate and climate change","Hydrology","Agriculture","Environmental risk"],"licence":"Open government licence","lineage":"The drought indices were obtained by the standardization of different meteorological variables: precipitation, potential evapotranspiration, climatic water balance, evapotranspiration deficit and vapor pressure deficit.\n\nTwo different methods (\"reference\" and \"best-fit\" approach) were employed to standardize the variables. Reference version of the indices was calculated the probability distribution recommended by previous studies that explored the suitability of different probability distributions to calculate each drought index. By contrast, Best-fit version of the indices was calculated based on the probability distributions that provide better normalised resulting series for each case according to Shapiro-Wilks test.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:26:08.000Z","orcid":["https://orcid.org/0000-0002-0696-9504","https://orcid.org/0000-0003-4567-5258","https://orcid.org/0000-0003-2815-7221","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0002-5256-3310"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","doi:10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Here, we present the Global Multi-Index Drought (GMID) dataset, which includes some of the most used and widely recommended standardised drought indices: the Standardized Precipitation Index (SPI), the Evaporative Drought Demand Index (EDDI), the Standardized Precipitation…","state":"published","supplementalDescription":["Wang, X., Alharbi, R. S., Baez-Villanueva, O. M., Green, A., McCabe, M. F., Wada, Y., Van Dijk, A. I. J. M.,\nAbid, M. A., & Beck, H. E., (2025). Saudi Rainfall (SaRa): Hourly 0.1° Gridded Rainfall (1979-Present)\nfor Saudi Arabia via Machine Learning Fusion of Satellite and Model Data. Hydrology and Earth\nSystem Sciences 29, 4983-5003.","Miralles, D.G., Bonte, O., Koppa, A., Baez-Villanueva, O.M., Tronquo, E., Zhong, F., Beck, H.E., Hulsman, P., Dorigo, W.A., Verhoest, N.E.C., Haghdoost, S.,  GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present, Scientific Data, 12, 416, 2025","Beck, H. E., van Dijk, A. I. J. M., Larraondo, P. R., McVicar, T. R., Pan, M., Dutra, E., and Miralles, D. G., MSWX: global 3‑hourly 0.1° bias-corrected meteorological data including near real-time updates and forecast ensembles. Bulletin of the American Meteorological Society 103, E710-E732."],"title":"High-resolution Global Multi-Index Drought (GMID) dataset, 1980-2024","topic":["0/Climate and climate change/","0/Hydrology/","0/Agriculture/","0/Environmental risk/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B."],"authorGivenName":["M.S.","I.","J.","C.","R.","D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to 2023), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species).\n\nTrends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year.\n\nTrends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\n#Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.\n","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B.","Botham, M."],"funder":["Natural Environment Research Council","Butterfly Conservation","JNCC"],"givenName":["M.S.","I.","J.","C.","R.","D.B.","Marc"],"grant":[" NE/S011641/1"],"identifier":"ae7542e2-bf37-4391-b47e-96ed3f6fe096","incomingCitationCount":0,"keyword":["England","Northern Ireland","Scotland","United Kingdom","Wales","UK-SCAPE","Biodiversity","Environmental survey","annual","butterflies","lepidopteran"],"keywordsOther":["annual","butterflies","lepidopteran"],"keywordsPlace":["England","Northern Ireland","Scotland","United Kingdom","Wales"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Indices are calculated for all species (across Wider Countryside Butterfly Survey squares and traditional UKBMS sites) using the Generalised Abundance Index (GAI) method developed in 2016 with an additional modification that the data from each site in each year is weighted in the final stage relative to the proportion of the species flight period surveyed that year for that site. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which there was sufficient data available, the starting year for the series is later than 1976 for a number of rarer species","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:11:39.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","Natural Environment Research Council","Joint Nature Conservation Committee"],"publicationDate":"2025-02-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae7542e2-bf37-4391-b47e-96ed3f6fe096","10.5285/ae7542e2-bf37-4391-b47e-96ed3f6fe096","doi:10.5285/ae7542e2-bf37-4391-b47e-96ed3f6fe096"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series…","state":"published","title":"United Kingdom Butterfly Monitoring Scheme: species trends 2023","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of York","Natural England"],"authorFamilyName":["Mitchell","Kohler","White","Arnold"],"authorFullName":["Mitchell, L.","Kohler, T.","White, P.C.L.","Arnold, K.E."],"authorGivenName":["Lucy","T.","P.C.L.","K.E."],"authorOrcid":["https://orcid.org/0000-0003-2162-013X","https://orcid.org/0000-0002-7496-5775","https://orcid.org/0000-0002-6485-6065"],"authorRor":["https://ror.org/04m01e293","https://ror.org/00r66pz14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains home range size, habitat availability and selection ratio data, calculated from GPS data fixes collected from individual European nightjars, in four concurrent years (2015-2018). Home ranges are 95% areas of use, presented in hectares. Habitat availability data are presented as the percentage (%) of each habitat category (n = 6, pooled from 14 original habitat types) available to each individual within their 95% home range. Selection ratios are Manly Selection Ratios for 14 habitat types and express the extent to which each habitat type is used by each individual bird, compared to how much of it is available. Selection Ratios >1 express positive selection – i.e. used more than expected, given availability. Selection Ratios <1 express avoidance – i.e. used less than expected, given availability.","documentType":"GEMINI_DOCUMENT","familyName":["Mitchell","Kohler","White","Arnold"],"fullName":["Mitchell, L.","Kohler, T.","White, P.C.L.","Arnold, K.E."],"funder":["Natural Environment Research Council"],"givenName":["Lucy","T.","P.C.L.","K.E."],"identifier":"d5cc1b92-6862-4475-8aa1-5936786d12ab","incomingCitationCount":0,"keyword":["Animal behaviour","Environmental survey","Caprimulgus europaeus"],"keywordsOther":["Caprimulgus europaeus"],"keywordsTheme":["Animal behaviour","Environmental survey"],"licence":"Open government licence","lineage":"The metadata accompanying the data contains GPS data points (WGS84 format) from 39 European nightjars (Caprimulgus europaeus). The data contains additional information on identity of the bird, date and time of fix acquisition. These data were collected on the Humberhead peatlands NNR, South Yorkshire, from 2015 until 2018. Birds were caught in mist nets and tail-mounted miniaturised GPS tags (Pathtrack, Otley, UK; <3% bird bodyweight) were fitted by BTO-licensed researchers. \n\nData were collected as part of a NERC ACCE-funded PhD.","locations":["POLYGON((-0.935 53.55, -0.935 53.64, -0.897 53.64, -0.897 53.55, -0.935 53.55))"],"metadataDate":"2026-06-27T13:41:40.000Z","orcid":["https://orcid.org/0000-0003-2162-013X","https://orcid.org/0000-0002-7496-5775","https://orcid.org/0000-0002-6485-6065"],"organisation":["University of York","Natural England","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d5cc1b92-6862-4475-8aa1-5936786d12ab","10.5285/d5cc1b92-6862-4475-8aa1-5936786d12ab","doi:10.5285/d5cc1b92-6862-4475-8aa1-5936786d12ab"],"resourceType":"Dataset","rightsHolder":["University of York"],"ror":["https://ror.org/04m01e293","https://ror.org/00r66pz14","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains home range size, habitat availability and selection ratio data, calculated from GPS data fixes collected from individual European nightjars, in four concurrent years (2015-2018). Home ranges are 95% areas of use, presented in hectares. Habitat…","state":"published","title":"Home range size and habitat availability data for 39 individual European nightjars on the Humberhead Peatlands NNR from 2015-2018","topic":["0/Animal behaviour/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"This collection includes data collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2025. ERAMMP NFS is a resurvey of all of the 300 locations from the initial Glastir Monitoring and Evaluation Programme (GMEP) monitoring program (300 1km squares) on a rolling annual basis. The initial monitoring program, GMEP, was commissioned by the Welsh Government in 2013 to report national trends and monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","identifier":"6019fce0-e131-4850-bd6d-d29434f3dd42","incomingCitationCount":0,"keyword":["Wales","ERAMMP","Environment and Rural Affairs Monitoring & Modelling Programme National Field Survey","Biodiversity","Environmental survey","Land cover","Land use","Pollinators","Soil","Water quality","agro-environment scheme"],"keywordsOther":["agro-environment scheme"],"keywordsPlace":["Wales"],"keywordsProject":["ERAMMP","Environment and Rural Affairs Monitoring & Modelling Programme National Field Survey"],"keywordsTheme":["Biodiversity","Environmental survey","Land cover","Land use","Pollinators","Soil","Water quality"],"licence":"Non-Open government licence","metadataDate":"2026-03-25T16:47:59.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6019fce0-e131-4850-bd6d-d29434f3dd42"],"resourceType":"Aggregation","shortenedDescription":"This collection includes data collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2025. ERAMMP NFS is a resurvey of all of the 300 locations from the initial Glastir Monitoring and…","state":"published","supplementalDescription":["Website for the Environment & Rural Affairs Monitoring and Modelling Programme","Website for the related Glastir Monitoring and Evaluation Programme","Website for the related Countryside Survey project"],"supplementalName":["ERAMMP website","GMEP website","Countryside Survey website"],"title":"Environment and Rural Affairs Monitoring & Modelling Programme National Field Survey, Wales, 2021-2025","topic":["0/Biodiversity/","0/Environmental survey/","0/Land cover/","0/Land use/","0/Pollinators/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Oxford","Newcastle University"],"authorFamilyName":["Grenyer","Atkins","Duffus","Lewis","Milner-Gulland"],"authorFullName":["Grenyer, R.","Atkins, T.","Duffus, N.","Lewis, O.","Milner-Gulland, E."],"authorGivenName":["Rich","Thomas","Natalie","Owen","EJ"],"authorRor":["https://ror.org/052gg0110","https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains unmodified abundances of carabid ground beetle species from a pitfall trap survey across a series of farmland sites in Southern England. Sampling took place in August and September of 2022, in five landholdings in Oxfordshire and Buckinghamshire. Each parcel was sampled with between 3 and 9 pitfall traps, depending on size and microhabitat heterogeneity. Unmodified abundances at the species level, cross-classified by parcel and by pitfall, are contained within this dataset. The intent for the experimental design was to cross classify abundances of key predatory invertebrates by habitat type and condition.","documentType":"GEMINI_DOCUMENT","familyName":["Grenyer","Atkins","Duffus","Lewis","Milner-Gulland"],"fullName":["Richard Grenyer","Grenyer, R.","Atkins, T.","Duffus, N.","Lewis, O.","Milner-Gulland, E."],"funder":["Natural Environment Research Council"],"givenName":["Rich","Thomas","Natalie","Owen","EJ"],"grant":["NE/W004976/1"],"identifier":"afd4cb7e-a37e-48c6-a0ff-e07afd2f5199","incomingCitationCount":0,"keyword":["Environmental survey","Agriculture","Biodiversity","Land use","insect","beetle","survey","invertebrate","pitfall trapping","trapping"],"keywordsOther":["insect","beetle","survey","invertebrate","pitfall trapping","trapping"],"keywordsTheme":["Environmental survey","Agriculture","Biodiversity","Land use"],"licence":"Open government licence","lineage":"14 habitat parcels (with habitat parcel defined as an area of the same habitat type and condition) were sampled from five landholdings in Oxfordshire and Buckinghamshire. Under the UK Habitat Classification system, these parcels were assessed to be five 'modified grassland' parcels, seven 'other neutral grassland' parcels and two 'arable field margin' parcels. Each parcel was sampled with between 3 and 9 pitfall traps, depending on size and hetereogeneity in August and September 2022. A total of 84 pitfall catches were collected across all sites, with each catch representing 28 trap-days, totalling 2352 trapping days. Pitfall traps were of 94mm diameter containing 100ml of water and polyethylene glycol, and were protected by a 35mm wire mesh screen. No external barriers were used. Captured carabid ground beetles were transferred to ethanol after each sample period, and subsequently identified to species level in the lab, using the taxonomy and characteristics in Luff, M. L. (2007; Handbooks for the identification of British insects: The Carabidae (ground beetles) of Britain and Ireland (Vol. 4, 2nd ed.). Royal Entomological Society.). Identification was carried out by two experienced entomologists, authors of the dataset, with a random subset of individuals cross checked by the other entomologist to ensure consistency.","locations":["POLYGON((-1.681 51.666, -1.681 51.994, -0.907 51.994, -0.907 51.666, -1.681 51.666))"],"metadataDate":"2026-06-29T17:13:00.000Z","organisation":["University of Oxford","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/afd4cb7e-a37e-48c6-a0ff-e07afd2f5199","10.5285/afd4cb7e-a37e-48c6-a0ff-e07afd2f5199","doi:10.5285/afd4cb7e-a37e-48c6-a0ff-e07afd2f5199"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains unmodified abundances of carabid ground beetle species from a pitfall trap survey across a series of farmland sites in Southern England. Sampling took place in August and September of 2022, in five landholdings in Oxfordshire and Buckinghamshire.…","state":"published","title":"Abundance of carabid ground beetles from pitfall trapping on farmland sites in Oxfordshire and Buckinghamshire, 2022","topic":["0/Environmental survey/","0/Agriculture/","0/Biodiversity/","0/Land use/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology","ECOMatters Inc"],"authorFamilyName":["Howard","Wells","Barnett","Sheppard"],"authorFullName":["Howard, B.J.","Wells, C.","Barnett, C.L.","Sheppard, S."],"authorGivenName":["B.J.","C.","C.L.","S."],"authorOrcid":["https://orcid.org/0000-0002-9698-9524"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise radioactivity transfer parameter and concentration ratio values for gastrointestinal contents of ruminants (cows and goats) to milk. The derived transfer values and concentration ratios were originally reported in the Handbook of Parameter Values for the Prediction of Radionuclide Transfer in Terrestrial and Freshwater Environment. Technical Reports Series TRS 472  but now include newly compiled data for both goat and cow milk.","documentType":"GEMINI_DOCUMENT","familyName":["Howard","Wells","Barnett","Sheppard"],"fullName":["Howard, B.J.","Wells, C.","Barnett, C.L.","Sheppard, S."],"givenName":["B.J.","C.","C.L.","S."],"identifier":"7713d170-f6a3-4aa7-83c8-fe91278517ce","incomingCitationCount":1,"keyword":["Pollution","Radioecology","Radionuclides","transfer parameter","cow milk","concentration ratio"],"keywordsOther":["Radionuclides","transfer parameter","cow milk","concentration ratio"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Open government licence","lineage":"The transfer parameter table for cow milk data published in the table has been created using a compilation of transfer parameter values in a dataset held by the Centre for Ecology & Hydrology. The transfer parameter values have been derived using procedures for data collation and reporting agreed by the International Atomic Energy Agency's EMRAS programme working group that compiled TRS 472 (IAEA, 2010).  Quality control procedures were agreed by the working group to ensure that only data which fulfilled various criteria were included. The QC and data compilation procedures are briefly outlined in (IAEA 2010) and more fully in IAEA (2009). In the following IAEA MODARIA programme, further data quality control was performed, the procedures for which are outlined in the goat milk paper in Howard et al (2016).","metadataDate":"2026-06-29T18:01:41.000Z","orcid":["https://orcid.org/0000-0002-9698-9524"],"organisation":["Centre for Ecology & Hydrology","ECOMatters Inc","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7713d170-f6a3-4aa7-83c8-fe91278517ce","10.5285/7713d170-f6a3-4aa7-83c8-fe91278517ce","doi:10.5285/7713d170-f6a3-4aa7-83c8-fe91278517ce"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radioactivity transfer parameter and concentration ratio values for gastrointestinal contents of ruminants (cows and goats) to milk. The derived transfer values and concentration ratios were originally reported in the Handbook of Parameter Values for the…","state":"published","supplementalDescription":["International Atomic Energy Agency (IAEA) . Handbook of Parameter Values for the Prediction of Radionuclide Transfer in Terrestrial and Freshwater Environment. Technical Reports Series No. 472. IAEA, Vienna, 2010."],"title":"Transfer of radionuclides to cow and goat milk","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg"],"authorFamilyName":["Ladd","Banerjee","Chanda","Ghosh","Balke"],"authorFullName":["Ladd, C.","Banerjee, S.","Chanda, A.","Ghosh, T.","Balke, T."],"authorGivenName":["Cai","Sumana","Abhra","Tuhin","Thorsten"],"authorOrcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0002-1009-8123","https://orcid.org/0000-0002-3280-1959","https://orcid.org/0000-0002-3466-867X","https://orcid.org/0000-0001-7733-5069"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"This dataset contains acceleration data measured from low-cost and open-source bottom-mounted floats called 'Mini Buoys', to identify hydrological tipping points between expanding and eroding mangrove edges of Lothian Island in the Indian Ganges Brahmaputra Meghna Delta from 15-12-2021 to 08-01-2022. Both the East and West portions of the island were measured. The purpose of the survey was to determine the hydrological forcing around the island - where mangrove stability transitions from expanding to eroding.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Banerjee","Chanda","Ghosh","Balke"],"fullName":["Cai Ladd","Ladd, C.","Banerjee, S.","Chanda, A.","Ghosh, T.","Balke, T."],"funder":["Natural Environment Research Council"],"givenName":["Cai","Sumana","Abhra","Tuhin","Thorsten"],"grant":["NE/S008926/1"],"identifier":"9054799f-6994-427f-8d03-0c08607496f1","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Environmental survey","Mini Buoy","Inundation duration","Current velocity","Wave orbital velocity","Mangrove lateral dynamics","Tipping points","Ganges Brahmaputra Meghna Delta","India","Lothian Island"],"keywordsOther":["Mini Buoy","Inundation duration","Current velocity","Wave orbital velocity","Mangrove lateral dynamics","Tipping points","Ganges Brahmaputra Meghna Delta","India","Lothian Island"],"keywordsTheme":["Modelling","Hydrology","Environmental survey"],"licence":"Open government licence","lineage":"Data to assess the hydrological tipping point between expanding and eroding mangrove edges was gathered at western (21°38′53″N, 088°18′45″E) and eastern (21°40′05″N, 088°20′44″E) Lothian island, Indian GBM delta. B4+ Mini Buoys were deployed along seaward mangrove edges where there was a transition from expansion to erosion. Each logger sampled y-axis acceleration at 1 Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard. No processing was done to acceleration data.\n\nData are provided in two folders: LothianEast and LothianWest - capturing acceleration data in different portions of Lothian Island. LothianEast contains 10 * .csv files; LothianWest contains *9 .csv files. Each .csv file contains acceleration data for an individual Mini Buoy - containing equipment metadata and sub-minute measurements of acceleration data, provided as YYYY/MM/DD HH:MM:SS. Acceleration data are measured as gravity-compensated acceleration values in g-force (G).","locations":["POLYGON((88.3 21.607, 88.3 21.709, 88.35 21.709, 88.35 21.607, 88.3 21.607))"],"metadataDate":"2026-06-29T16:06:29.000Z","orcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0002-1009-8123","https://orcid.org/0000-0002-3280-1959","https://orcid.org/0000-0002-3466-867X","https://orcid.org/0000-0001-7733-5069"],"organisation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9054799f-6994-427f-8d03-0c08607496f1","10.5285/9054799f-6994-427f-8d03-0c08607496f1","doi:10.5285/9054799f-6994-427f-8d03-0c08607496f1"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains acceleration data measured from low-cost and open-source bottom-mounted floats called 'Mini Buoys', to identify hydrological tipping points between expanding and eroding mangrove edges of Lothian Island in the Indian Ganges Brahmaputra Meghna Delta…","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration."],"title":"Hydrodynamic data from the interface between expanding and eroding mangrove forests in the Indian Ganges Brahmaputra Meghna Delta, December 2021-January 2022","topic":["0/Modelling/","0/Hydrology/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["The James Hutton Institute ","University of the Highlands and Islands","UK Centre for Ecology & Hydrology","The James Hutton Institute","Royal Society for the Protection of Birds"],"authorFamilyName":["Coyle","Andersen","Morrison","Cash","Cowdery","Gilbert","Johnson-Marshall","Vidis","Artz"],"authorFullName":["Coyle, M.","Andersen, R.","Morrison, R.","Cash, J.","Cowdery, E.","Gilbert, P.","Johnson-Marshall, A.","Vidis, M.","Artz, R.R.E."],"authorGivenName":["M.","R.","J.","E.","P.","A.","R.R.E."],"authorOrcid":["https://orcid.org/0000-0002-9440-6524","https://orcid.org/0000-0002-7782-795X","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-8567-1377","https://orcid.org/0000-0002-6538-6296","https://orcid.org/0000-0003-2356-0951","https://orcid.org/0000-0002-8462-6558"],"authorRor":["https://ror.org/03rzp5127","https://ror.org/02s08xt61","https://ror.org/00pggkr55","https://ror.org/0138va192"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements of greenhouse gas exchange (carbon dioxide and methane) over a plantation forest on peat, in the Flow Country, Caithness and Sutherland. It contains eddy-covariance and associated meteorological and pedological measurements from 2016/01/01 to 2017/12/31 at half hourly intervals. The time series has been gap filled to allow the calculation of annual budgets for carbon exchange.\n\nThe site reference is UK-DKE ( http://www.europe-fluxdata.eu/home/sites-list )","documentType":"GEMINI_DOCUMENT","familyName":["Coyle","Andersen","Morrison","Cash","Cowdery","Gilbert","Johnson-Marshall","Vidis","Artz"],"fullName":["Coyle, M.","Andersen, R.","Morrison, R.","Cash, J.","Cowdery, E.","Gilbert, P.","Johnson-Marshall, A.","Vidis, M.","Artz, R.R.E."],"funder":["Natural Environment Research Council","Scottish Government: Rural and Environment Science and Analytical Services"],"givenName":["M.","R.","J.","E.","P.","A.","R.R.E."],"identifier":"856d0d16-53fe-4560-8976-b4bc75d37adc","incomingCitationCount":0,"keyword":["Environmental survey","Climate and climate change","meteorology","peat","blanket bog","forest","NEE","carbon dioxide","methane"],"keywordsOther":["meteorology","peat","blanket bog","forest","NEE","carbon dioxide","methane"],"keywordsTheme":["Environmental survey","Climate and climate change"],"licence":"Open government licence","lineage":"The site was first installed in May 2016 by University of Highlands and Islands (UHI) on a triangular lattice mast ~20 m tall. At the time this area was forested with commercial non-native tree species which were harvested in November 2017.  It is currently managed by the James Hutton Institute (Aberdeen) as part of the SCO2FLUX network with supporting funding from NERC (Mothership Project) and SRES (CentrePeat project). University of the Highlands and Islands and the RSPB (Royal Society for the Protection of Birds) continue to support maintenance of the site as local site operators.\n\nMeasurements are made using standard instrumentation, retrieved remotely at regular intervals and processed using protocols similar to those defined by the FluxNet and Integrated Carbon Observation Systems (ICOS) projects.\n\nA subset of these data, which submitted previously, will differ slightly from this version as QA/QC procedures have been updated and refined (https://doi.org/10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3 )","locations":["POLYGON((-3.97 58.427, -3.97 58.428, -3.969 58.428, -3.969 58.427, -3.97 58.427))"],"metadataDate":"2026-06-29T18:12:36.000Z","orcid":["https://orcid.org/0000-0002-9440-6524","https://orcid.org/0000-0002-7782-795X","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-8567-1377","https://orcid.org/0000-0002-6538-6296","https://orcid.org/0000-0003-2356-0951","https://orcid.org/0000-0002-8462-6558"],"organisation":["The James Hutton Institute ","University of the Highlands and Islands","UK Centre for Ecology & Hydrology","The James Hutton Institute","Royal Society for the Protection of Birds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/856d0d16-53fe-4560-8976-b4bc75d37adc","10.5285/856d0d16-53fe-4560-8976-b4bc75d37adc","doi:10.5285/856d0d16-53fe-4560-8976-b4bc75d37adc"],"resourceType":"Dataset","rightsHolder":["The James Hutton Institute"],"ror":["https://ror.org/03rzp5127","https://ror.org/02s08xt61","https://ror.org/00pggkr55","https://ror.org/0138va192","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements of greenhouse gas exchange (carbon dioxide and methane) over a plantation forest on peat, in the Flow Country, Caithness and Sutherland. It contains eddy-covariance and associated meteorological and pedological measurements from 2016/01/01…","state":"published","title":"Carbon dioxide and methane fluxes and associated environmental observations during use as plantation forest on peat bog, Forsinard Flows RSPB Reserve, Scotland, 2016-2017","topic":["0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","elsdhi","rebekka.artz@hutton.ac.uk"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"authorOrcid":["https://orcid.org/0000-0003-4494-7450","https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of landscape point feature information for points across Great Britain, surveyed in 1998. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated plant species where relevant, within a set of 569 1km squares across Great Britain, surveyed during the Countryside Survey long term monitoring project (note: not all surveyed squares contained point features). The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to point features, habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"identifier":"ed10944f-40c8-4913-b3f5-13c8e844e153","incomingCitationCount":1,"keyword":[" Great Britain","Countryside Survey","Environmental survey","trees ","ponds ","buildings"],"keywordsOther":["trees ","ponds ","buildings"],"keywordsPlace":[" Great Britain"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1998 by professional surveyors (a few sites were surveyed in 1999). Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. The points and information were digitized in 1999/2000. Data are managed by the Centre for Ecology & Hydrology, Lancaster.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:37:40.000Z","orcid":["https://orcid.org/0000-0003-4494-7450","https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2016-04-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ed10944f-40c8-4913-b3f5-13c8e844e153","10.5285/ed10944f-40c8-4913-b3f5-13c8e844e153","doi:10.5285/ed10944f-40c8-4913-b3f5-13c8e844e153"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of landscape point feature information for points across Great Britain, surveyed in 1998. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated plant species…","state":"published","title":"Landscape point feature data 1998 [Countryside Survey]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Scarlett","Old","Rameshwaran","Roberts"],"authorFullName":["Scarlett, P.M.","Old, G.H.","Rameshwaran, P.","Roberts, C."],"authorGivenName":["P.M.","G.H.","P.","C."],"authorOrcid":["https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains results from surveys recording the cover and area of aquatic macrophytes at four transects on the River Lambourn, collected monthly between March 11 2009 and September 30 2014.\n\nThe River Lambourn is a tributary of the River Thames, the principal river in the south-east of England. The CEH River Lambourn Observatory comprises a 600 m reach of river and 24 acres of associated water meadows at Boxford, Berkshire.\n\nThe surveys were designed to provide an estimate of the area and cover of the three most common aquatic macrophytes and an estimate of the area of the wetted channel at four transects. The species recorded were Ranunculus penicillatus ssp. pseudofluitans (with Ranunculus penicillatus ssp. pseudofluitans x Ranunculus peltatus hybrid also present), Callitriche platycarpa (with some Callitriche obtusanglia) and Berula erecta. The four transects were selected in order to represent a combination of shallow/fast flowing areas and deeper/slower flowing areas, as well as shaded and unshaded reaches. \n","documentType":"GEMINI_DOCUMENT","familyName":["Scarlett","Old","Rameshwaran","Roberts"],"fullName":["Scarlett, P.","Scarlett, P.M.","Old, G.H.","Rameshwaran, P.","Roberts, C."],"givenName":["Peter","P.M.","G.H.","P.","C."],"identifier":"37f0ab37-78f1-4ca6-b51f-950e43977b16","incomingCitationCount":1,"keyword":["Boxford","River Lambourn","Water quality","Environmental survey","Water","Berula erecta","Ranunculus penicillatus ssp. pseudofluitans","Callitriche platycarpa"],"keywordsOther":["Berula erecta","Ranunculus penicillatus ssp. pseudofluitans","Callitriche platycarpa"],"keywordsPlace":["Boxford","River Lambourn"],"keywordsTheme":["Water quality","Environmental survey","Water"],"licence":"Open government licence","lineage":"The surveys were designed to provide an estimate of the area and cover of the three most common aquatic macrophytes at four transects along the River Lambourn at Boxford. The species recorded were Ranunculus penicillatus ssp. pseudofluitans (with Ranunculus penicillatus ssp. pseudofluitans x Ranunculus peltatus hybrid also present), Callitriche platycarpa (with some Callitriche obtusanglia) and Berula erecta. The Ranunculus and Callitriche species were not identified to species level as this is frequently impossible without flowering material and because the study was more concerned with the quantitative characteristics of the aquatic macrophytes. \n\nThe surveys were conducted monthly from March 2009 until October 2014 with one occurrence of missing data due to high flow which prevented accurate (and safe) surveying. When possible the surveys were timed to coincide with monthly hydraulic surveys reported elsewhere.\n\nThe surveys were carried out at four transects distributed along the length of the CEH River Lambourn Observatory. These were selected in order to represent a combination of shallow/fast flowing areas and deeper/slower flowing areas, as well as shaded and unshaded reaches. At sites one to three the channel width is approximately 10m, but at the downstream site the width is nearer to 14m.","locations":["POLYGON((-1.385 51.446, -1.385 51.447, -1.383 51.447, -1.383 51.446, -1.385 51.446))"],"metadataDate":"2026-06-29T16:21:03.000Z","orcid":["https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0002-8972-953X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/37f0ab37-78f1-4ca6-b51f-950e43977b16","10.5285/37f0ab37-78f1-4ca6-b51f-950e43977b16","doi:10.5285/37f0ab37-78f1-4ca6-b51f-950e43977b16"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains results from surveys recording the cover and area of aquatic macrophytes at four transects on the River Lambourn, collected monthly between March 11 2009 and September 30 2014.\n\nThe River Lambourn is a tributary of the River Thames, the principal…","state":"published","title":"Aquatic macrophyte transect data for the River Lambourn at Boxford 2009 to 2014","topic":["0/Water quality/","0/Environmental survey/","0/Phenology/"],"version":1.0,"view":["public","weig"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Perry","Cavers"],"authorFullName":["Perry, A.","Cavers, S."],"authorGivenName":["A.","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data collected from a progeny-provenance trial to examine Dothistroma needle blight (DNB) infection in native Scottish populations of Scots pine.\n\nData include multiple infection assessments and height measurements and a single chlorophyll fluorescence measurement, record of branching and a defoliation assessment for each tree in the trial plus measurements of individual infected needles (length of lesions, number of lesions per needle, length of needle).\n\nThe trial was transplanted from CEH Edinburgh in April 2013 to Torrs Warren forest, Galloway, a site known to be infected with Dothistroma needle blight (DNB), caused by Dothistroma septosporum. The experiment ran until September 2015 with infection assessments (% estimated DNB severity per tree) performed roughly every 6 months from September 2013.\n","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Cavers"],"fullName":["Perry, A.","Cavers, S."],"givenName":["Annika","A.","S."],"identifier":"99e028cc-4c3c-490b-bade-b9ef062a16e8","incomingCitationCount":1,"keyword":["Environmental risk","Dothistroma septosporum","Pinus sylvestris"],"keywordsOther":["Dothistroma septosporum","Pinus sylvestris"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"There are eight Scottish Scots pine populations (Ballochbuie, Blackwood of Rannoch, Beinn Eighe, Coille Coire Chuilc, Glen Affric, Glen Loy, Glen Tanar, Rothiemurcus) with four families per population each consisting of six individuals = total 192 trees. The trees were grown from seed collected at each site, and germinated in spring 2007 at CEH Edinburgh. They were transplanted in 2013 when they were six years old. The transplantation site at Torrs Warren was adjacent to stands of Corsican and lodgepole pine which were infected with Dothistroma needle blight.\n\nThe trees were transplanted in 6 litre pots and were staked to the ground at 0.5 m spacing. A guard row of Scots pine trees (also at 0.5 m spacing) was placed around the edge of the trial to minimise edge effects.\n\nWeeding, to cut back brambles and bracken surrounding the trees, was performed annually in the summer.\n\nThe trial consists of six randomised blocks each containing one individual per family.\n\nThe data were collected as part of the PROTREE project (funded jointly by a grant from BBSRC, Defra, ESRC, the Forestry Commission, NERC and the Scottish Government, under the Tree Health and Plant Biosecurity Initiative) and Annika Perry's PhD studentship which was funded by NERC Centre for Ecology & Hydrology and Forest Research.\n","locations":["POLYGON((-4.888 54.863, -4.888 54.865, -4.886 54.865, -4.886 54.863, -4.888 54.863))"],"metadataDate":"2026-06-27T19:50:06.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-03-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/99e028cc-4c3c-490b-bade-b9ef062a16e8","10.5285/99e028cc-4c3c-490b-bade-b9ef062a16e8","doi:10.5285/99e028cc-4c3c-490b-bade-b9ef062a16e8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data collected from a progeny-provenance trial to examine Dothistroma needle blight (DNB) infection in native Scottish populations of Scots pine.\n\nData include multiple infection assessments and height measurements and a single chlorophyll fluorescence measurement,…","state":"published","title":"Susceptibility of native Scots pine (Pinus sylvestris) to Dothistroma septosporum following natural inoculation at Torrs Warren, Galloway 2013-2015","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=6&facet=topic%7C(0/Radioecology/%20OR%200/Environmental%20risk/%20OR%200/Environmental%20survey/)"}