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For a fuller description please refer to the product documentation.  \n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"f6b551ea-e079-4150-b13c-b5f89f5dbaa6","incomingCitationCount":1,"keyword":["Land cover","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 20m Classified Pixels datasets are the most spatially detailed in LCM2017, LCM2018 and LCM2019 product range. All other datasets were derived from these. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They result from automatic Random Forest classifications of partially overlapping, rectangular classification scenes and are given as 8-bit, 2-band integer 20m pixel rasters. Band-1 is the most likely land cover class, band-2 is the classification probability associated with this class, rescaled over the interval 0 to 100. Classification scenes comprised per-season Sentinel-2 median top of atmosphere reflectance values resampled to 20m pixel resolution, derived using the Google Earth Engine, combined with regional context layers (for example: terrain, coastal proximity). Overlapping classification results were visually ranked to determine precedence. The best classifications were compiled to form seamless national products for Great Britain and Northern Ireland. Classification used bespoke software integrated with a PostGis spatial database. The 20m rasters were exported from PostGIS using open source gdal tools to give the final product in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-29T15:37:39.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6b551ea-e079-4150-b13c-b5f89f5dbaa6","10.5285/f6b551ea-e079-4150-b13c-b5f89f5dbaa6","doi:10.5285/f6b551ea-e079-4150-b13c-b5f89f5dbaa6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2017 (20m classified pixels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jgar"]},{"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"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This  dataset contains Dissolved oxygen concentrations from two different locations in Durleigh Reservoir in Somerset, England. Two miniDOT oxygen loggers were fitted with miniWIPERs and deployed at two locations in Durleigh on 30 May 2018. Both sensors were collected on 5 October 2018 and the raw data files are presented in this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Slavin","Wain"],"fullName":["Slavin, E.I.","Wain, D.J.","Slavin, E."],"funder":["Natural Environment Research Council"],"givenName":["E.I.","D.J.","Emily"],"identifier":"26b35c45-c174-4930-b82c-bcd0d23c39e1","incomingCitationCount":0,"keyword":["Water quality","Pollution","Environmental survey","reservoir"],"keywordsOther":["reservoir"],"keywordsTheme":["Water quality","Pollution","Environmental survey"],"licence":"Open government licence","lineage":"Each location was marked with a buoy (A2 size) attached to a 10 kg weight using rope. The miniDOTs were attached onto the rope near the weight (bottom of the water column) at both locations. Both miniDOTs were set up to take measurements at ten-minute intervals for dissolved oxygen (% saturation and mg l-1) and temperature (deg C)\n\nThe 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 the MiniDOT logger was deployed. 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. On the 13 June 2018 and 21 August 2018, both miniDOTs were brought to the surface to change miniWIPER batteries and remove any fouling from the sensors. Nevertheless, there were periods during the 2018 deployment where the sensors were fouled, and dissolved oxygen measurements were reading 0% saturation.","locations":["POLYGON((-3.056 51.118, -3.056 51.125, -3.037 51.125, -3.037 51.118, -3.056 51.118))"],"metadataDate":"2026-06-29T17:01:13.000Z","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"],"publicationDate":"2020-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26b35c45-c174-4930-b82c-bcd0d23c39e1","10.5285/26b35c45-c174-4930-b82c-bcd0d23c39e1","doi:10.5285/26b35c45-c174-4930-b82c-bcd0d23c39e1"],"resourceType":"Dataset","rightsHolder":["University of Bath"],"ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"This  dataset contains Dissolved oxygen concentrations from two different locations in Durleigh Reservoir in Somerset, England. Two miniDOT oxygen loggers were fitted with miniWIPERs and deployed at two locations in Durleigh on 30 May 2018. Both sensors were collected…","state":"published","title":"Dissolved Oxygen concentrations from Durleigh Reservoir, 2018","topic":["0/Water quality/","0/Pollution/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Montgomery","Couto"],"authorFullName":["Montgomery, S.","Couto, A."],"authorGivenName":["S.","A."],"authorOrcid":["https://orcid.org/0000-0002-5474-5695","https://orcid.org/0000-0002-5528-7331"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. \nWild caught butterflies were sampled from five locations in Central and South America between 2012 and 2016. Locations included Costa Rica, Panama, French Guiana, Ecuador, and Peru. These locations covered a range of habitats from dry to wet forest, at elevations from sea level to 2500m. Interspecific data from wild caught individuals include identification to a species level, sex, and body size, as well as volume measurements of the mushroom body structures, central brain, medulla, and antennal lobe. \n\nMeasurements of mushroom body calyx volume, and estimates of Kenyon cell and synapse counts are included for six species of  insectary-reared adult heliconiine butterflies (Agraulis vanilla, dryas iulia, eueides Isabella, heliconius melpmonene, heliconius Hortense, heliconius hecale). Two species (dryas iulia, heliconius charthonia) were also sampled for microglomeruli counts.\nThis dataset was created as part of a NERC Independent Research Fellowship NE/N014936/1, to analyse the evolutionary expansions in mushroom body size in Heliconius butterflies, compared to their closest relatives.\n","documentType":"GEMINI_DOCUMENT","familyName":["Montgomery","Couto"],"fullName":["Montgomery, S.","Couto, A."],"funder":["Natural Environment Research Council"],"givenName":["S.","A."],"grant":["NE/N014936/2"],"identifier":"de62eff7-6ea4-44d7-a015-2eb9b25cf882","incomingCitationCount":0,"keyword":["Biodiversity","lepidoptera","butterfly species abundance","heliconiini","kenyon cell number","brain","neuropil","mushroom body","mushroom body calyx","synapse density"],"keywordsOther":["lepidoptera","butterfly species abundance","heliconiini","kenyon cell number","brain","neuropil","mushroom body","mushroom body calyx","synapse density"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Samples were collected over multiple field seasons across central and south America using a hand-net, fixed in situ and returned to the UK. Fixed samples were then stained with Anti-SYNORF as a primary antibody, cy2 as a secondary antibody, and imaged using confocal microscopy. The resulting images, which highlight boundaries between brain regions, were then segmented using AMIRA software to quantify neuropil volumes. \n\nInsectary-reared samples were obtained using pupae from commercial supplies. Freshly eclosed butterflies were aged in a controlled temperature room at 28 degrees Celsius with 80% humidity with a 12-hour day/night cycle. The cage was enriched with a natural food resource, supplemented by artificial feeders. Butterflies were sampled six to ten days after emergence.\n\nKenyon cell counts were estimated using immunohistochemical staining against DAPI, imaged with confocal microscopy. Synapse density estimates were made using higher magnification imaging of Anti-SYNORF stained brains, focusing on the calyx. Total count data was obtained by estimating nuclei density/synapse density within sub-sampled regions of a structure, and then extrapolating across the total volume of the structure.\n","locations":["POLYGON((-119.308 -56.207, -119.308 33.669, -33.879 33.669, -33.879 -56.207, -119.308 -56.207))"],"metadataDate":"2026-06-29T16:34:43.000Z","orcid":["https://orcid.org/0000-0002-5474-5695","https://orcid.org/0000-0002-5528-7331"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de62eff7-6ea4-44d7-a015-2eb9b25cf882","10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882","doi:10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. \nWild caught butterflies were sampled from five…","state":"published","supplementalName":[" Couto A, Young FJ, Atzeni D, Marty S, Melo‐Flórez L, Hebberecht L, Monllor M, Neal C, Cicconardi F, McMillan WO, Montgomery SH. Rapid expansion and visual specialisation of learning and memory centres in the brains of Heliconiini butterflies. Nature Communications. 2023, 14(1):4024. https://doi.org/10.1038/s41467-023-39618-8"],"title":"Taxonomic data, neuropil volume measurements, and mushroom body calyx kenyon cell and synapse counts for Heliconiini butterflies, Central and South America, 2012-2016","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Brazilian Agriculture Research Corporation - Embrapa","Wageningen University","Imperial College London","Universidade de São Paulo","Universidade Federal de Pernambuco","James Cook University"],"authorFamilyName":["Moura","Veenendaal","Lloyd","Brunello","Miranda","Ishida"],"authorFullName":["Moura, M.S.B.","Veenendaal, E.M.","Lloyd, J.","Brunello, A.T.","Miranda, R.Q.","Ishida, F.Y."],"authorGivenName":["M.S.B.","E.M.","J.","A.T.","R.Q.","F.Y."],"authorOrcid":["https://orcid.org/0000-0002-2844-1399","https://orcid.org/0000-0001-8230-2501","https://orcid.org/0000-0001-7654-5873","https://orcid.org/0000-0002-5464-2397","https://orcid.org/0000-0002-3251-8192"],"authorRor":["https://ror.org/0482b5b22","https://ror.org/041kmwe10","https://ror.org/036rp1748","https://ror.org/047908t24","https://ror.org/04gsp2c11"],"availability":"Available","catalogue":"eidc","dataFormat":["jpg"],"description":"The dataset contains raw hemispherical photographs of canopy structure representative for 0.5 ha permanent plots (26) across Caatinga area in Brazil. The photographs were taken between March 2017 and August 2019, using a digital camera (NIKON D100) with a Sigma 4.5 mm F2.8 fisheye lens. \n\nWhen processed the photos provide a representative value of LAI (Leaf area index) for the plot.","documentType":"GEMINI_DOCUMENT","familyName":["Moura","Veenendaal","Lloyd","Brunello","Miranda","Ishida"],"fullName":["Moura, M.S.B.","Veenendaal, E.M.","Lloyd, J.","Brunello, A.T.","Miranda, R.Q.","Ishida, F.Y."],"funder":["Natural Environment Research Council"],"givenName":["M.S.B.","E.M.","J.","A.T.","R.Q.","F.Y.","Magna Soelma Beserra "],"grant":["NE/N012526/1"],"identifier":"a1c0f869-6e03-4902-af94-31e90ba141a0","incomingCitationCount":0,"keyword":["Caatinga","leaf area index","canopy and tree architecture"],"keywordsOther":["Caatinga","leaf area index","canopy and tree architecture"],"licence":"Open government licence","lineage":"The photos were taken using a digital camera (NIKON D100) with a Sigma 4.5 mm F2.8 fisheye lens. Under overcast sky conditions one picture was taken on each intersection of four subplots resulting in a total of 36 photos in each plot for 12 plots. For other sites, one photo was taken at the centre of the subplot. Pictures were taken with the top of the camera facing North at a height of approximately 1 m. The quantity of photos for each plot may vary because in some occasions there was a problem with the trigger bottom of the camera, or rapid changes in sky conditions precluded taking a picture at that location or necessitated rejection of the image afterwards.  When processed the photos provide a representative value of LAI for the whole plot, not for individual subplots as the image, depending on vegetation height, may include tree canopies up to 20 m distance from the camera.","locations":["POLYGON((-44 -12, -44 -3, -35 -3, -35 -12, -44 -12))"],"metadataDate":"2026-06-29T17:20:57.000Z","orcid":["https://orcid.org/0000-0002-2844-1399","https://orcid.org/0000-0001-8230-2501","https://orcid.org/0000-0001-7654-5873","https://orcid.org/0000-0002-5464-2397","https://orcid.org/0000-0002-3251-8192"],"organisation":["Brazilian Agriculture Research Corporation - Embrapa","Wageningen University","Imperial College London","Universidade de São Paulo","Universidade Federal de Pernambuco","James Cook University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a1c0f869-6e03-4902-af94-31e90ba141a0","10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0","doi:10.5285/a1c0f869-6e03-4902-af94-31e90ba141a0"],"resourceType":"Dataset","rightsHolder":["Imperial College London"],"ror":["https://ror.org/0482b5b22","https://ror.org/041kmwe10","https://ror.org/036rp1748","https://ror.org/047908t24","https://ror.org/04gsp2c11","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains raw hemispherical photographs of canopy structure representative for 0.5 ha permanent plots (26) across Caatinga area in Brazil. The photographs were taken between March 2017 and August 2019, using a digital camera (NIKON D100) with a Sigma 4.5…","state":"published","title":"Hemispherical photographs for estimation of leaf area index of Caatinga vegetation in Brazil, 2017-2019","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Department of Earth Sciences, University of Cambridge","Department of Plant Sciences, University of Cambridge"],"authorFamilyName":["Marquand","Zhu","Faulkner","Turchyn"],"authorFullName":["Marquand, T.I.","Zhu, B.","Faulkner, K.J.","Turchyn, A.V."],"authorGivenName":["T I","B","K J","A V"],"authorOrcid":["https://orcid.org/0000-0002-8168-9692","https://orcid.org/0000-0002-8677-2014","https://orcid.org/0000-0002-9204-6502","https://orcid.org/0000-0002-9298-2173"],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents greenhouse gas emissions data from controlled peat mesocosm experiments conducted between February 2023 and December 2025. The study investigated carbon dioxide (CO₂) and methane (CH₄) emissions from drained peat soils collected from three sites in the East Anglian Fens, UK, by researchers at the Department of Earth Sciences, University of Cambridge.\n\nThe experiments were carried out in laboratory mesocosms to examine how changes in water table levels influence greenhouse gas fluxes and porewater chemistry. CO2 and CH4 emission data are provided for \"short-term\" experiments in which columns of drained peat were subjected to a high water table and then gradually drained over ~50 days with CO2 and CH4 emissions monitored as the water table is lowered. CO2 and CH4 emission and pore fluid concentration data are provided for \"long-term\" experiments in which mesocosms of drained peat were subjected to high water table (5cm above the soil surface) for a period of around 5 months.\nThese data were generated to improve understanding of how peatland rewetting and water table management affect greenhouse gas dynamics in lowland fen systems, supporting assessments of peatland restoration and climate mitigation strategies.\n\nThis work was carried out as part of the Centre for Landscape Regeneration at the University of Cambridge (Landscape Regeneration Solutions to the Interlinked Extinction and Climate Crises that support Sustainable Development, NE/W00495X/1) with analytical facilities funded by LASER-ENVI - A LASER spectrometer based ENVIronmental Gas and Gas-Isotope Facility (NE/V015435/1).","documentType":"GEMINI_DOCUMENT","familyName":["Marquand","Zhu","Faulkner","Turchyn"],"fullName":["Marquand, T.I.","Zhu, B.","Faulkner, K.J.","Turchyn, A.V."],"funder":["Natural Environment Research Council"],"givenName":["T I","B","K J","A V"],"grant":["NE/W00495X/1","NE/V015435/1"],"identifier":"0cefa296-33ad-4a73-8783-3471c6f64ee7","incomingCitationCount":0,"keyword":["Agriculture","Climate and climate change","soil","soil chemistry","greenhouse gas","greenhouse gas emissions","water table","methane","dissolved methane","carbon dioxide","dissolved carbon dioxide","peat","laboratory experiment","fen","East Anglian Fens"],"keywordsOther":["soil","soil chemistry","greenhouse gas","greenhouse gas emissions","water table","methane","dissolved methane","carbon dioxide","dissolved carbon dioxide","peat","laboratory experiment","fen","East Anglian Fens"],"keywordsTheme":["Agriculture","Climate and climate change"],"licence":"Open government licence","lineage":"Soils were collected from sites in the Fens and incubated in laboratory mesocosms under two treatments: (1) short-term experiments in which water table was raised above soil surface and gradually lowered over around 50 days, and (2) long-term experiments in which water table depth was raised and maintained high for ~5 months. In both conditions, emissions and pore fluid concentrations of CO2 and CH4 were monitored throughout the experiment period (using an open chamber approach, Picarro G2201-i gas analyser). Detailed descriptions of methods, units, processing, etc., can be found in the supporting document.","locations":["POLYGON((-0.268 52.33, -0.268 52.553, 0.521 52.553, 0.521 52.33, -0.268 52.33))"],"metadataDate":"2026-06-29T18:15:24.000Z","orcid":["https://orcid.org/0000-0002-8168-9692","https://orcid.org/0000-0002-8677-2014","https://orcid.org/0000-0002-9204-6502","https://orcid.org/0000-0002-9298-2173"],"organisation":["University of Cambridge","Department of Earth Sciences, University of Cambridge","Department of Plant Sciences, University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0cefa296-33ad-4a73-8783-3471c6f64ee7","10.5285/0cefa296-33ad-4a73-8783-3471c6f64ee7","doi:10.5285/0cefa296-33ad-4a73-8783-3471c6f64ee7"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents greenhouse gas emissions data from controlled peat mesocosm experiments conducted between February 2023 and December 2025. The study investigated carbon dioxide (CO₂) and methane (CH₄) emissions from drained peat soils collected from three sites…","state":"published","title":"Carbon dioxide and methane emission and pore fluid concentration data from peat mesocosm experiments under variable water table treatments","topic":["0/Agriculture/","0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Cooper","Cumming","Evans","Oakley","McNamara","Pywell","Scarlett"],"authorFullName":["Morrison, R.","Cooper, H.M.","Cumming, A.M.J.","Evans, C.","Oakley, S.","McNamara, N.P.","Pywell, R.","Scarlett, P."],"authorGivenName":["R. ","H.M. ","A.M.J.","C.","S.","N.P.","R.","P."],"authorOrcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0001-6242-8158"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of surface-atmosphere exchanges of sensible heat (H) and latent heat (LE) and momentum (τ) measured at UKCEH eddy covariance flux observation sites during summer 2019. The dataset includes ancillary weather and soil physics observations made at each site.\nEddy covariance (EC) and micrometeorological observations were collected using open-path eddy covariance systems. Flux, meteorological and soil physics observations were collected and processed using harmonised protocols across all sites. \n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Morrison","Cooper","Cumming","Evans","Oakley","McNamara","Pywell","Scarlett"],"fullName":["Morrison, R.","Cooper, H.M.","Cumming, A.M.J.","Evans, C.","Oakley, S.","McNamara, N.P.","Pywell, R.","Scarlett, P."],"funder":["Natural Environment Research Council"],"givenName":["R. ","H.M. ","A.M.J.","C.","S.","N.P.","R.","P.","Ross"],"grant":["NE/R016429/1"],"identifier":"0254620f-9cf1-4d5b-af3f-bd8a6af95e96","incomingCitationCount":0,"keyword":["Soil","Environmental survey","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Turbulent flux densities were calculated from the raw EC data using the EddyPRO Flux Calculation Software Version 6.1. Quality Control of EC data involved removal of statistical outliers and statistical tests to remove data of poor technical quality. Data gaps in EC data (NEE, LE, H) were filled using the Marginal Distribution Sampling approach. \n\nFurther details are available in the supporting documentation.\n","locations":["POLYGON((-1.42 50.699, -1.42 52.24, 1.45 52.24, 1.45 50.699, -1.42 50.699))"],"metadataDate":"2026-06-30T16:31:29.000Z","orcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0001-6242-8158"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-01-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0254620f-9cf1-4d5b-af3f-bd8a6af95e96","10.5285/0254620f-9cf1-4d5b-af3f-bd8a6af95e96","doi:10.5285/0254620f-9cf1-4d5b-af3f-bd8a6af95e96"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of surface-atmosphere exchanges of sensible heat (H) and latent heat (LE) and momentum (τ) measured at UKCEH eddy covariance flux observation sites during summer 2019. The dataset includes ancillary weather and soil physics…","state":"published","title":"Subset of turbulent energy fluxes, meteorology and soil physics observations collected at eddy covariance sites in southeast England, June 2019","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Holder","Hayes"],"authorFullName":["Holder, A.","Hayes, F."],"authorGivenName":["A.","F."],"authorOrcid":["https://orcid.org/0000-0002-5355-2525","https://orcid.org/0000-0002-1037-5725"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprises physiological and yield measurements from an ozone (O3) exposure experiment, during which three varieties of sweet potato (Ipomoea batatas) were exposed to Low, Medium and High O3 treatments using heated dome shaped glasshouses (solardomes). The Erato orange variety was exposed to the three treatments from June to October 2019 and the Murasaki variety from June to October 2021. The Beauregard variety was grown on two occasions, with treatments from August to October 2020, and June to October 2021.\nMeasurements were taken of leaf stomatal conductance, leaf chlorophyll content index as well as the harvest (fresh) weight of tubers. All measurements were made by the corresponding author. The experiments were carried out in the UKCEH Bangor Air Pollution Facility. This work was carried out as part of the UK Centre for Ecology & Hydrology Long-Term Science Official Development Assistance ‘SUNRISE’ project.\n\nStomatal conductance was found to be significantly reduced in the elevated ozone treatments. Yield for the Erato orange and Murasaki varieties was reduced by ~40% and ~50% (Medium and High, respectively, vs Low) whereas Beauregard yield (2021) was reduced by 58% in both (the tubers for the Beauregard plants grown in 2020 were not fully formed). \nSweet potato is a staple food crop grown in locations deemed to be at risk from O3 pollution (e.g. Sub-Saharan Africa), and this dataset adds much needed stomatal conductance and yield data of sweet potato grown under different O3 exposure conditions. This can be used to improve model predictions of O3 impacts on sweet potato, along with associated risk assessments.","documentType":"GEMINI_DOCUMENT","familyName":["Holder","Hayes"],"fullName":["Holder, A.","Hayes, F."],"funder":["Natural Environment Research Council"],"givenName":["A.","F."],"grant":["NE/R000131/1"],"identifier":"66e73c38-5b85-44a1-818a-52189bdcffda","incomingCitationCount":0,"keyword":["SUNRISE","Agriculture","Tropospheric ozone","Ipomoea batatas","yield","stomatal conductance","chlorophyll content","Sweet potato"],"keywordsOther":["Tropospheric ozone","Ipomoea batatas","yield","stomatal conductance","chlorophyll content","Sweet potato"],"keywordsProject":["SUNRISE"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Sweet potato plug plants (Thompson and Morgan) were each potted into 25 L tubs (35 x 37 cm) filled with John Innes No. 2 (J. Arthur Bowers, UK) compost and placed in heated (ambient +6℃) solardomes (3 m diameter and 2.1 m height) with controlled O3 exposure. Each solardome contained 4 replicate plants exposed to Low, Medium and High O3 treatments (daytime target maximums: 30 ppb, 80 ppb and 110 ppb, respectively). To represent the episodic nature of O3 pollution, for two days of the week all treatment domes received the Low O3 level. O3 concentrations were measured every 30 minutes (for 5 minutes) using two O3 analysers (API 400A Envirotech, UK and 49i Thermo Fisher Scientific, USA) of matched calibration. O3 delivery was controlled and recorded by LabVIEW software (version 2012, National Instruments). Air temperature, relative humidity and light was monitored inside the solardomes (Skye Instruments) and automatically recorded to the LabVIEW software as 30 minute mean values.\n\nLeaf level stomatal conductance, temperature and light was recorded using a Delta-T AP4 porometer (calibrated before each measurement session to a curve error of ~10%). The chlorophyll content index of the same leaf was measured immediately afterwards using an Opti-Sciences CCM200 meter. The soil moisture status was measured using a Delta-T ML2 probe attached to a HH2 Moisture meter. Data was recorded onto field sheets and transferred to Excel sheets subsequently exported to comma separated value files for deposit into the EIDC. ","locations":["POLYGON((-4.024 53.236, -4.024 53.243, -4.012 53.243, -4.012 53.236, -4.024 53.236))"],"metadataDate":"2026-06-29T18:05:46.000Z","orcid":["https://orcid.org/0000-0002-5355-2525","https://orcid.org/0000-0002-1037-5725"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/66e73c38-5b85-44a1-818a-52189bdcffda","10.5285/66e73c38-5b85-44a1-818a-52189bdcffda","doi:10.5285/66e73c38-5b85-44a1-818a-52189bdcffda"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprises physiological and yield measurements from an ozone (O3) exposure experiment, during which three varieties of sweet potato (Ipomoea batatas) were exposed to Low, Medium and High O3 treatments using heated dome shaped glasshouses (solardomes). The Erato…","state":"published","supplementalName":["Solardomes and ozone field release system"],"title":"Sweet potato leaf stomatal conductance, leaf chlorophyll content, and tuber yield after exposure to three ozone concentrations in heated glasshouses, UK, 2019-2021","topic":["0/Agriculture/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Birmingham","University of Bristol","Lancaster University","Bristol University","University of Ulm","Exeter University"],"authorFamilyName":["Ullah","Reay","Pihlblad","Sgouridis","Hamilton","Sayer","Hartley"],"authorFullName":["Ullah, S.","Reay, M.K.","Pihlblad, J.","Sgouridis, F.","Hamilton, L.","Sayer, E.J.","Hartley, I.P."],"authorGivenName":["S.","M.K.","J.","F.","L.","E.J.","I.P."],"authorOrcid":["https://orcid.org/0000-0002-9153-8847","https://orcid.org/0000-0001-6335-1690","https://orcid.org/0000-0002-6679-4750","https://orcid.org/0000-0001-5925-154X","https://orcid.org/0000-0002-3322-4487","https://orcid.org/0000-0002-9183-6617"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set was generated at the University of Birmingham Free Air CO2 Enrichment (BIFoR-FACE) facility where the responses of nutrient transformation processes, litter decomposition, mycorrhizal biomass and turnover and enzyme functions, root exudation rates, root nitrogen uptake rates and preferences were evaluated during the 4th to 6th years of CO2 fumigation (2020-2022) The first hypothesis tested was that trees under elevated CO2 will allocate more carbon belowground (via exudation and symbiotic mycorrhizal fungi) for nutrient acquisition. The second hypothesis tested was the enhanced C allocation belowground will prime microbes for nutrient mineralisation via extracellular enzyme functions to meet enhanced nutrient demands.  The third hypothesis tested was that trees would take more nitrogen and that the order preference for different available nitrogen forms is amino acids, ammonium, and nitrate.\n\nCoupled with this hypothesis the experimental work included both field and laboratory characterisation of selected variables and their responses to CO2 enrichment including gross N mineralisation, litter decomposition, extracullular enzyme activities, mycorrhizal (arubuscular and ectomycorhizae) characterisation, hyphael turnover, root C and N exudation and root uptake rates and preferences. The data on these variables is provided in CSV files together with metadata files detailing the experimental, analytical and quality control aspects of the data collection, curation and finalisation.  These variables were assessed during the fourth to the sixth year of CO2 enrichment at BIFoR-FACE, thus creating a key data for the early responses of CO2 fumigation. Since BIFoR_FACE will continue the experiment into 2030s, thus this data provides the early responses in a long-term experiment of its kind in the UK and in northern temperate environments in the world.","documentType":"GEMINI_DOCUMENT","familyName":["Ullah","Reay","Pihlblad","Sgouridis","Hamilton","Sayer","Hartley"],"fullName":["Ullah, S.","Reay, M.K.","Pihlblad, J.","Sgouridis, F.","Hamilton, L.","Sayer, E.J.","Hartley, I.P."],"funder":["Natural Environment Research Council"],"givenName":["S.","M.K.","J.","F.","L.","E.J.","I.P.","Sami"],"grant":["NE/T000449/1"],"identifier":"a05b9519-f0c8-48ef-a9c6-43d0326f590f","incomingCitationCount":0,"keyword":["Soil","Climate and climate change","Forest FACE","Elevated Atmospheric CO2","forests nutrient cycling","root exudation","root uptake preferences","forest soils enzyme functions","mature oaks","nitrogen mineralization","nutrient cycling"],"keywordsOther":["Forest FACE","Elevated Atmospheric CO2","forests nutrient cycling","root exudation","root uptake preferences","forest soils enzyme functions","mature oaks","nitrogen mineralization","nutrient cycling"],"keywordsTheme":["Soil","Climate and climate change"],"licence":"Open government licence","lineage":"The data was generated following the experimental set-up in 2020 at the BIFoR-FACE site. Field data and sampling continued from the summer of 2020 till the end of 2022. Throughout the data generation and curation processes, quality control and quality assurance protocols were followed and applied after, the data files were finalised. The data also contain soil physicochemical properties data of relevance to the tested hypotheses.","locations":["POLYGON((-2.283 52.784, -2.283 52.799, -2.227 52.799, -2.227 52.784, -2.283 52.784))"],"metadataDate":"2026-06-29T17:25:40.000Z","orcid":["https://orcid.org/0000-0002-9153-8847","https://orcid.org/0000-0001-6335-1690","https://orcid.org/0000-0002-6679-4750","https://orcid.org/0000-0001-5925-154X","https://orcid.org/0000-0002-3322-4487","https://orcid.org/0000-0002-9183-6617"],"organisation":["University of Birmingham","University of Bristol","Lancaster University","Bristol University","University of Ulm","Exeter University","NERC EDS Environmental Information Data Centre","Birmingham Institute of Forest Research, University of Birmingham"],"publicationDate":"2024-10-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a05b9519-f0c8-48ef-a9c6-43d0326f590f","10.5285/a05b9519-f0c8-48ef-a9c6-43d0326f590f","doi:10.5285/a05b9519-f0c8-48ef-a9c6-43d0326f590f"],"resourceType":"Dataset","rightsHolder":["Birmingham Institute of Forest Research, University of Birmingham"],"ror":["https://ror.org/04xw4m193","https://ror.org/03angcq70"],"shortenedDescription":"The data set was generated at the University of Birmingham Free Air CO2 Enrichment (BIFoR-FACE) facility where the responses of nutrient transformation processes, litter decomposition, mycorrhizal biomass and turnover and enzyme functions, root exudation rates, root…","state":"published","title":"Responses of soil nitrogen mineralization, root exudation, decomposition, mycorrhiza turnover and root uptake preference for N under elevated CO2 enrichment of a mature temperate oak forest, Staffordshire, UK, 2020-2022","topic":["0/Soil/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr","Maberly"],"authorFullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"authorGivenName":["I.D.","H.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages.  The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive.  This dataset has been used in various publications, please see supporting documentation for more detail. ","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr","Maberly"],"fullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"givenName":["I.D.","H.","Heidrun","S.C."],"identifier":"e68063b9-2e52-44df-8b6f-a3deb37b76cb","incomingCitationCount":2,"keyword":[" Lake District","Lake Windermere","Water quality","Environmental survey","temperature profile","lake","freshwater","meteorological parameter"],"keywordsOther":["temperature profile","lake","freshwater","meteorological parameter"],"keywordsPlace":[" Lake District","Lake Windermere"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Windermere South Basin are collated and processed by the Centre for Ecology & Hydrology at Lancaster.  Data are available for download from 2012 onwards.  See supporting documentation for further information.  Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed. ","locations":["POLYGON((-2.977 54.277, -2.977 54.335, -2.921 54.335, -2.921 54.277, -2.977 54.277))"],"metadataDate":"2026-06-29T18:25:57.000Z","orcid":["https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e68063b9-2e52-44df-8b6f-a3deb37b76cb","10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb","doi:10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the…","state":"published","title":"Data from automatic water monitoring buoy from Windermere south basin, 2012 to 2015","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds"],"authorFamilyName":["McCloskey","Menteşe","Cremen","Gentile","Galasso","Filippi","Jenkins","Creed","Watson","Sinclair","Pelling"],"authorFullName":["McCloskey, J.","Menteşe, E.Y.","Cremen, G.","Gentile, R.","Galasso, C.","Filippi, M.E.","Jenkins, L.","Creed, M.","Watson, C.S.","Sinclair, H.","Pelling, M."],"authorGivenName":["J.","Emin Yahya","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"authorOrcid":["https://orcid.org/0000-0002-7187-4384","https://orcid.org/0000-0002-6699-7312","https://orcid.org/0000-0002-7682-4490","https://orcid.org/0000-0001-5445-4911","https://orcid.org/0000-0001-6182-9208","https://orcid.org/0000-0003-0422-4063","https://orcid.org/0000-0001-6694-8994","https://orcid.org/0000-0003-2656-961X","https://orcid.org/0000-0003-4719-7130","https://orcid.org/0000-0002-6472-9875"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/02jx3x895","https://ror.org/0524sp257","https://ror.org/00vtgdb53","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)","TIFF","json"],"description":"This dataset contains a digital urban scenario, named Tomorrowville, that is developed as a testbed for multi-hazard risk assessments and to evaluate the performance of urbanisation scenarios. Tomorrowville was created to represent a global-south urban setting by means of its socio-economic and physical aspects. It covers an area of 500ha located south of Kathmandu (Nepal).  The dataset consists of 5 different data types:\n\n-\tBuildings: Data representing the building footprints for today and 50 years from now including specific attributes to be used within multi-hazard risk assessments.\n-\tLand uses: Data representing the land use information for today and 50 years from now.\n-\tVulnerability: Tabular files that contain vulnerability functions for buildings under earthquake and flood hazards.\n-\tHousehold: Data that contains social attributes of the Tomorrowville, such as the level of education, age, gender and working status of the individuals and their states in the households.\n-\tHazards: Data representing the hazards (earthquake (eq), floods (fl) and debris flows (df) that may impact the case study areas of Tomorrowville.\n\nObservational data of the built environment and socio-economical properties of Kathmandu and Nairobi were used in addition to synthetic social data to create the initial scenario. This is a synthetic social dataset, meaning it was derived from existing population projections and distributions for the testbed but does not reflect the reality on the ground. It is synthetically created using specific algorithms in a GIS environment to represent a Global South social context.\n\nFor the building data, Open Street Map (OSM) database is used as a basis. The data is scraped from OSM and modified to represent an urban context for Tomorrowville. The attributes are also modified to be able to use in a multi-hazard risk computation. A taxonomy string is generated for each building that represents an acronym for its building code level, number of storeys, occupation type and structural system. The hazards that were existing in the selected spatial extent were earthquake, flood, and debris flow. Hazard data represents an intensity measure for the relevant hazard type (ground acceleration for earthquake, flow velocity for the flood and debris flow hazards). The following hazard input data are included:\n\n-\tFor the flood simulations, the discharge and rainfall time series are generated based on moderate to peak daily data based on recorded data from the Department of Hydrology and Meteorology, Nepal.\n-\tEarthquake hazard sources are generated and simulated by Jenkins et al. (2023).\n-\tFor the debris-flow and flood simulations tri-stereo Pleiades satellite imagery is used to produce a 2m resolution Digital Elevation Model.\n\nThe work to create this dataset is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1)","documentType":"GEMINI_DOCUMENT","familyName":["Menteşe","McCloskey","Cremen","Gentile","Galasso","Filippi","Jenkins","Creed","Watson","Sinclair","Pelling"],"fullName":["Menteşe, E.Y.","McCloskey, J.","Cremen, G.","Gentile, R.","Galasso, C.","Filippi, M.E.","Jenkins, L.","Creed, M.","Watson, C.S.","Sinclair, H.","Pelling, M."],"funder":["Natural Environment Research Council"],"givenName":["Emin Yahya","J.","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"grant":["NE/S009000/1"],"identifier":"8b5834a5-ae8a-4f24-836c-16fab961aeb3","incomingCitationCount":0,"keyword":["GCRF Urban Disaster Risk Hub","Environmental risk","GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsOther":["GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsProject":["GCRF Urban Disaster Risk Hub"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"As an interdisciplinary process, knowledge and perspective of different disciplines helped us shape the characteristics holistically and enabled us to construct a comprehensive understanding of the testbed. By bringing qualitative and quantitative approaches together, it became possible to integrate both social and physical characteristics with the facilitation of urban planning and GIS disciplines. The development of Tomorrowville started in June 2021. Between June and December 2021, there have been around 30 inter-disciplinary online meetings within our research group regarding the development of Tomorrowville. The team consisted of 2 structural engineers, 4 geoscientists, 4 social scientists and a GIS expert with an urban planning background. Local researchers from Kathmandu and Nairobi had structural engineering and urban planning expertise and they provided insight into our approach which enabled us to be more realistic in terms of the spatial context we represent within Tomorrowville.\n\nThe building footprints are derived from some sample data gathered from Open Street Map database and modified to fit the aims of the dataset. The exposure data is synthetic. All flood simulations are generated using Caesar-Lisflood, a landscape evolution model (LEM) that combines the hydrological and surface flow model, Lisflood-FP (Bates et al. 2010), with the CAESAR landscape evolution model (Coulthard et al. 2013). For landslide analysis digital elevation model from tri-stereo Pleiades satellite imagery is benefited. For debris-flow analysis, rainfall-driven LaharFlow dynamic hazard model is used. The vulnerability data are produced based on consultation with local partners and global vulnerability databases such as Joint Research Center’s “Global flood depth-damage functions: Methodology and the database with guidelines”.\n\nThe synthetic social data was produced through bespoke algorithms that considered population characteristics and projections relevant for the area. These algorithms are developed to generate a population that would live in future urban scenario within the designed built environment. The algorithms were coded in MATLAB software environment.","locations":["POLYGON((85.28 27.656, 85.28 27.745, 85.365 27.745, 85.365 27.656, 85.28 27.656))"],"metadataDate":"2026-06-29T16:02:56.000Z","orcid":["https://orcid.org/0000-0002-7187-4384","https://orcid.org/0000-0002-6699-7312","https://orcid.org/0000-0002-7682-4490","https://orcid.org/0000-0001-5445-4911","https://orcid.org/0000-0001-6182-9208","https://orcid.org/0000-0003-0422-4063","https://orcid.org/0000-0001-6694-8994","https://orcid.org/0000-0003-2656-961X","https://orcid.org/0000-0003-4719-7130","https://orcid.org/0000-0002-6472-9875"],"organisation":["Anofa Engineering, Planning and Informatics Ltd","University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b5834a5-ae8a-4f24-836c-16fab961aeb3","10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3","doi:10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/02jx3x895","https://ror.org/0524sp257","https://ror.org/00vtgdb53","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a digital urban scenario, named Tomorrowville, that is developed as a testbed for multi-hazard risk assessments and to evaluate the performance of urbanisation scenarios. Tomorrowville was created to represent a global-south urban setting by means…","state":"published","supplementalDescription":["Gentile, R., Cremen, G., Galasso, C., Jenkins, L. T., Manandhar, V., Menteşe, E. Y., Guragain, R., & McCloskey, J. (2022). Scoring, selecting, and developing physical impact models for multi-hazard risk assessment. In International Journal of Disaster Risk Reduction (Vol. 82, p. 103365). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2022.103365","Jenkins, L. T., Creed, M. J., Tarbali, K., Muthusamy, M., Trogrlić, R. Š., Phillips, J. C., Watson, C. S., Sinclair, H. D., Galasso, C., & McCloskey, J. (2023). Physics-based simulations of multiple natural hazards for risk-sensitive planning and decision making in expanding urban regions. In International Journal of Disaster Risk Reduction (Vol. 84, p. 103338). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2022.103338","Menteşe, E. Y., Cremen, G., Gentile, R., Galasso, C., Filippi, M. E., & McCloskey, J. (2023). Future exposure modelling for risk-informed decision making in urban planning. In International Journal of Disaster Risk Reduction (Vol. 90, p. 103651). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2023.103651"],"title":"Virtual urban testbed representing a Global South urban setting based on Nairobi, Kenya and Kathmandu, Nepal contexts","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Plymouth","CSIR Forestry Research Institute of Ghana","University of Leeds"],"authorFamilyName":["Fauset","Hagan Brown","Addo-Danso","Gloor","Fyfe","Ganderton"],"authorFullName":["Fauset, S.","Hagan Brown, W.","Addo-Danso, S.A.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"authorGivenName":["S.","W.","S.A.","E.U.","R.","P."],"authorOrcid":["https://orcid.org/0000-0003-4246-1828","https://orcid.org/0000-0003-4399-0182","https://orcid.org/0000-0001-5074-1673"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems). This site is a moist semi-deciduous tropical forest. The field of view of the camera includes a plot which was lightly selectively logged over 60 years ago. The trees included in the field of view are of a variety of species including both deciduous and evergreen species. Data were collected in order to assess the differences between species in their canopy temperature and for greater understanding of plant temperature regulation. ","documentType":"GEMINI_DOCUMENT","familyName":["Fauset","Hagan Brown","Addo-Danso","Gloor","Fyfe","Ganderton"],"fullName":["Fauset, S.","Hagan Brown, W.","Addo-Danso, S.A.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"funder":["Natural Environment Research Council"],"givenName":["S.","W.","S.A.","E.U.","R.","P."],"grant":["NE/V008366/1"],"identifier":"ae09832e-3258-4619-9b9b-65e1c1d09960","incomingCitationCount":0,"keyword":["West Africa","Ghana","Climate and climate change","Environmental survey","canopy temperature","semi-deciduous","ecophysiology","tropical forest","forest"],"keywordsOther":["canopy temperature","semi-deciduous","ecophysiology","tropical forest","forest"],"keywordsPlace":["West Africa","Ghana"],"keywordsTheme":["Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Data were collected using a LabView program to control the camera. Data were initially stored on a local PC, and then transferred to a University of Plymouth network server. Data provided are the raw output from the camera.","locations":["POLYGON((1.29 6.64, 1.29 6.74, 1.37 6.74, 1.37 6.64, 1.29 6.64))"],"metadataDate":"2026-06-29T17:02:54.000Z","orcid":["https://orcid.org/0000-0003-4246-1828","https://orcid.org/0000-0003-4399-0182","https://orcid.org/0000-0001-5074-1673"],"organisation":["University of Plymouth","CSIR Forestry Research Institute of Ghana","University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae09832e-3258-4619-9b9b-65e1c1d09960","10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960","doi:10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960"],"resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems).…","state":"published","title":"Canopy temperatures from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023","topic":["0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Brown","Bunce","Carey","Chamberlain","Chandler","Crowe","Maskell","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chamberlain, P.M.","Chandler, K.","Crowe, A.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["M.J.","R.G.H.","P.D.","P.M.","K.","A.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["https://orcid.org/0000-0002-5651-2828","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 2007. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated species where relevant, within a set of 591 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":["Brown","Bunce","Carey","Chamberlain","Chandler","Crowe","Maskell","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chamberlain, P.M.","Chandler, K.","Crowe, A.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"givenName":["M.J.","R.G.H.","P.D.","P.M.","K.","A.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"identifier":"55dc5fd7-d3f7-4440-b8a7-7187f8b0550b","incomingCitationCount":1,"keyword":["Great Britain","Countryside Survey","Environmental survey","tree","pond","building"],"keywordsOther":["tree","pond","building"],"keywordsPlace":["Great Britain"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded using electronic data capture devices in the summer of 2007 by professional surveyors. Data were recorded from 591 1km squares sited across Britain, selected by random stratified sample. Standard Countryside Survey methodology was applied (refer to the online documentation). The survey was 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":"2026-06-27T19:21:46.000Z","orcid":["https://orcid.org/0000-0002-5651-2828","https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2016-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55dc5fd7-d3f7-4440-b8a7-7187f8b0550b","10.5285/55dc5fd7-d3f7-4440-b8a7-7187f8b0550b","doi:10.5285/55dc5fd7-d3f7-4440-b8a7-7187f8b0550b"],"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 2007. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated species where…","state":"published","title":"Landscape point feature data 2007 [Countryside Survey]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Queen Mary University of London"],"authorFamilyName":["Trimmer"],"authorFullName":["Trimmer, M."],"authorGivenName":["Mark"],"authorOrcid":["https://orcid.org/0000-0002-9859-5537"],"authorRor":["https://ror.org/026zzn846"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data include baseline concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O) sampled from porewater prior to injection of 15N-nitrate.","documentType":"GEMINI_DOCUMENT","familyName":["Trimmer"],"fullName":["Trimmer, M."],"funder":["Natural Environment Research Council"],"givenName":["Mark"],"identifier":"7ded510f-3955-4b92-851d-29c0f79a0b99","incomingCitationCount":1,"keyword":["Water quality","pH","temperature","nitrous oxide","nitrite","nitrogen","methane","organic carbon","iron","chloride","oxygen","phosphate","ammonium","nitrate"],"keywordsOther":["pH","temperature","nitrous oxide","nitrite","nitrogen","methane","organic carbon","iron","chloride","oxygen","phosphate","ammonium","nitrate"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Prior to injection of 15N-nitrate, samples of porewater were recovered to measure background concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O). \n\nConcentration of dissolved oxygen in porewater sampled prior to 15N injection. Units are micro-M. Porewater was transferred from the collection syringe to an open syringe barrel containing an oxygen sensor via a 3-way valve. O2 concentrations were measured with a fast response microelectrode (50microm tip, Unisense). Readings from the microelectrode were displayed on a pico-ammeter (PA 2000; Unisense) and logged after 4s when the signal had stabilized. Calibration was performed with a zero solution (0.1M sodium ascorbate in 0.1M sodium hydroxide) and a solution of known O2 concentration (determined via Winkler titration). Through laboratory simulation with de-oxygenated water we estimate that O2 contamination during sample transfer and measurement was 10micro-M and have subtracted this value from the data. The limit of detection was 10micro-M and the precision was 2%.\n\nO2adj percent: Saturation of dissolved oxygen expressed relative to air-equilibrated water at the temperature of the sample. Units are %. The air-equilibrated O2 concentration was calculated for each sample using the Bunsen solubility coefficient for O2 and the temperature of the sample (determined during pH measurement, see below). O2 sat = 100 x O2adj (see above) divided by the air-equilibrated O2 concentration.\n\npH of porewater sample prior to 15N injection. After the O2 concentration of the porewater was measured (see above) a calibrated pH probe (VWR 100) was placed in the solution and the temperature and pH was recorded.\n\nTemperature units are degrees centigrade.\n\nWater samples for nutrients were filtered through 0.45 micron filters (polypropylene). Samples for nutrient analysis were frozen at -20ºC before analysis.\nIn the permeable sandy sediments, nitrate reduction was measured by 'push-pull' using techniques in Lansdown et al. (2014). In the main piezometer network described in Shelley et al (2017), a tracer containing 15N-labelled nitrate (300 micro-M (M), 98 atom percent 15N) in a de-oxygenated synthetic river water plus KCl matrix was injected into the riverbed and porewater samples recovered over time (Lansdown et al. (2014)). A helium headspace was added to the water samples, the 15N-labelled N2 content was determined by mass spectrometry.\n\nData marked as 0 were below the detection limit of the method. Data marked ND were either no data collected or a sample lost.","locations":["POLYGON((0.797 51.007, 0.797 51.02, 0.821 51.02, 0.821 51.007, 0.797 51.007))"],"metadataDate":"2026-06-29T16:30:45.000Z","orcid":["https://orcid.org/0000-0002-9859-5537"],"organisation":["Queen Mary University of London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7ded510f-3955-4b92-851d-29c0f79a0b99","10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99","doi:10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99"],"resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data…","state":"published","supplementalDescription":["Shelley, F., Klaar, M., Krause, S., & Trimmer, M. (2017). Enhanced hyporheic exchange flow around woody debris does not increase nitrate reduction in a sandy streambed. Biogeochemistry, 136(3), 353-372. ","Krause, S., Klaar, M. J., Hannah, D. M., Mant, J., Bridgeman, J., Trimmer, M., & Manning-Jones, S. (2014). The potential of large woody debris to alter biogeochemical processes and ecosystem services in lowland rivers. Wiley Interdisciplinary Reviews: Water, 1(3), 263-275.","Lansdown, K., Heppell, C. M., Trimmer, M., Binley, A., Heathwaite, A. L., Byrne, P., & Zhang, H. (2015). The interplay between transport and reaction rates as controls on nitrate attenuation in permeable, streambed sediments. Journal of Geophysical Research: Biogeosciences, 120(6), 1093-1109."],"title":"The influence of large woody debris (LWD) on in situ riverbed nitrogen transformations in the Hammer Stream (Hampshire, UK)","topic":["0/Water quality/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology"],"authorFamilyName":["Brown","Bunce","Carey","Chandler","Crowe","Maskell","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Crowe, A.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["M.J.","R.G.H.","P.D.","K.","A.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["https://orcid.org/0000-0002-5651-2828","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 stock (length) data for linear features across Great Britain in 2007. The data are national estimates generated by analysing the sample data from 591 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths for 7 different feature categories within 45 different Land Class categories, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. 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 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 linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Brown","Bunce","Carey","Chandler","Crowe","Maskell","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Crowe, A.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["M.J.","R.G.H.","P.D.","K.","A.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"e687330b-a0f7-45a1-b58c-398e67da3028","incomingCitationCount":1,"keyword":["Great Britain","England","Scotland","Wales","Environmental survey","hedges","fences","walls","tree lines","grass strips","banks"],"keywordsOther":["hedges","fences","walls","tree lines","grass strips","banks"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summer of 2007 by surveyors. Data were recorded from 591 1km squares sited across Britain, selected by random stratified sample. The data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as mean length per Land Class. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:20:22.000Z","orcid":["https://orcid.org/0000-0002-5651-2828","https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2014-09-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1406200249402","CEH:EIDC::1406200249402","https://catalogue.ceh.ac.uk/id/e687330b-a0f7-45a1-b58c-398e67da3028","10.5285/e687330b-a0f7-45a1-b58c-398e67da3028","doi:10.5285/e687330b-a0f7-45a1-b58c-398e67da3028"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for linear features across Great Britain in 2007. The data are national estimates generated by analysing the sample data from 591 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling…","state":"published","supplementalName":["Countryside Survey website"],"title":"Countryside Survey 2007 estimates of linear feature lengths in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of East Anglia"],"authorFamilyName":["Collins","Prince","Donelan","Chapman","Bourke"],"authorFullName":["Collins, D.H.","Prince, D.C.","Donelan, J.L.","Chapman, T.","Bourke, A.F.G."],"authorGivenName":["D.H.","D.C.","J.L.","T.","A.F.G."],"authorOrcid":["https://orcid.org/0000-0001-8619-8158","https://orcid.org/0000-0002-2214-9733","https://orcid.org/0000-0002-2401-8120","https://orcid.org/0000-0001-5891-8816"],"authorRor":["https://ror.org/026k5mg93"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data on developmental time, fecundity, morphometrics,  experimental treatment, mating and sampling from an experiment manipulating larval nutrition in female fruit flies (Drosophila melanogaster).","documentType":"GEMINI_DOCUMENT","familyName":["Collins","Prince","Donelan","Chapman","Bourke"],"fullName":["Collins, D.H.","Prince, D.C.","Donelan, J.L.","Chapman, T.","Bourke, A.F.G."],"funder":["Natural Environment Research Council"],"givenName":["D.H.","D.C.","J.L.","T.","A.F.G."],"grant":["NE/R000875/1"],"identifier":"90dee4ce-187c-4094-8895-b079d29922f5","incomingCitationCount":0,"keyword":["Drosophila melanogaster","evolution of ageing","fecundity-longevity relationship","life history","senescence"],"keywordsOther":["Drosophila melanogaster","evolution of ageing","fecundity-longevity relationship","life history","senescence"],"licence":"Open government licence","lineage":"The files described in this document contain the data collected in Objective 3, Experiment 3 of NERC project NE/R000875/1. The aim of this experiment was to manipulate the fecundity-longevity relationship in Drosophila melanogaster by changing the larval diet. We had three dietary regimes, treatment 1 (20% SYA(Sugar, Yeast and Agar)), 2 (100% SYA) and 3 (120% SYA), and collected data from adult flies. We collected the following longevity and fecundity data from each individual fly: date of death, every other day egg count, every other day offspring count. For the protocol, see 'Protocol_NER0008751_Objective 3_Experiment 3_v1_2018-05-05.docx'.","locations":["POLYGON((1.22 52.611, 1.22 52.63, 1.252 52.63, 1.252 52.611, 1.22 52.611))"],"metadataDate":"2026-06-29T16:30:09.000Z","orcid":["https://orcid.org/0000-0001-8619-8158","https://orcid.org/0000-0002-2214-9733","https://orcid.org/0000-0002-2401-8120","https://orcid.org/0000-0001-5891-8816"],"organisation":["University of East Anglia","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-12-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/90dee4ce-187c-4094-8895-b079d29922f5","10.5285/90dee4ce-187c-4094-8895-b079d29922f5","doi:10.5285/90dee4ce-187c-4094-8895-b079d29922f5"],"resourceType":"Dataset","rightsHolder":["University of East Anglia"],"ror":["https://ror.org/026k5mg93","https://ror.org/04xw4m193"],"shortenedDescription":"Data on developmental time, fecundity, morphometrics,  experimental treatment, mating and sampling from an experiment manipulating larval nutrition in female fruit flies (Drosophila melanogaster).","state":"published","title":"Life history, developmental and morphometric data for individual flies from an experiment manipulating larval nutrition in female fruit flies (Drosophila melanogaster)","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"authorFullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"authorGivenName":["J.","M.","E.J. ","S.","R.","T.","Y."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 1x1 km2 grid for the year 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.1.1.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"fullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"funder":["Natural Environment Research Council"],"givenName":["J.","M.","E.J. ","S.","R.","T.","Y.","Janice"],"grant":["NE/R016429/1"],"identifier":"2adc10bf-e6f4-4e8d-b268-ee5d58d31c50","incomingCitationCount":0,"keyword":["Pollution","Mapping","Coarse nitrate particulate","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","oxides of sulphur","reduced nitrogen","UK-SCAPE","nitrogen oxides","nitrogen","sulphur","dust","ammonia","aerosol"],"keywordsOther":["Coarse nitrate particulate","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","oxides of sulphur","reduced nitrogen","UK-SCAPE","nitrogen oxides","nitrogen","sulphur","dust","ammonia","aerosol"],"keywordsTheme":["Pollution","Mapping"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations for a model domain covering the UK with a resolution of about 1x1 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:12:27.000Z","orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50","10.5285/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50","doi:10.5285/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of…","state":"published","supplementalDescription":["Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145pp.","National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory","The EU EMEP emissions center ","© Crown 2022 copyright Defra & BEIS via naei.beis.gov.uk, licenced under the Open Government Licence (OGL)"],"supplementalName":["WRF reference:","NCEP Reference","The emissions used in the EMEP4UK model are derived from","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory "],"title":"High resolution European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018","topic":["0/Pollution/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Vihermaa","Waldron","Newton"],"authorFullName":["Vihermaa, L.E.","Waldron, S.","Newton, J."],"authorGivenName":["L. E.","S.","J."],"authorOrcid":["https://orcid.org/0000-0001-6263-1252","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0001-7594-3693"],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Aquatic carbon (dissolved inorganic carbon (DIC), dissolved organic carbon (DOC) and particulate organic carbon and the carbon isotopic composition of DIC) and nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) in rainfall fractions (rainwater, throughfall, stemflow and overland flow) were sampled in the Western Amazonian basin. The samples were collected towards the end of a wet season April - May 2012. Rainfall and throughfall samples were collected in plastic buckets. Stemflow samples were collected using stemflow collection systems. Overland samples were collected using a a plastic pipe cut lengthways directing flow into a plastic bucket. Established standard methods were used to analyse the DIC, DOC and nutrients. These methods are outlined in the lineage. The samples were taken to understand the nutrient and carbon delivery in rainwater as well as leaching from tree canopies, stems and from the soil surface.\n\nThe data collection was carried out as part of the Natural Environment Research Council (NERC) funded Amazonica project (NE/F005482/1).","documentType":"GEMINI_DOCUMENT","familyName":["Vihermaa","Waldron","Newton"],"fullName":["Vihermaa, L.","Vihermaa, L.E.","Waldron, S.","Newton, J."],"funder":["Natural Environment Research Council"],"givenName":["Leena","L. E.","S.","J."],"grant":["NE/F005482/1"],"identifier":"59bdb8f6-fb1f-418f-a53c-394f6c68a334","incomingCitationCount":0,"keyword":["stemflow collectors","throughfall collectors","overland flow collectors","Thermo-Fisher-Scientific Gas Bench/Delta V Plus ","Thermalox TOC 2020","Atomic Absorption Spectrometry (Perkin Elmer Analyst 400)","Peru","Amazonia","Amazon","dissolved inorganic carbon","particulate organic carbon","DIC","DOC","POC","nutrient","dissolved organic carbon","organic carbon"],"keywordsInstrument":["stemflow collectors","throughfall collectors","overland flow collectors","Thermo-Fisher-Scientific Gas Bench/Delta V Plus ","Thermalox TOC 2020","Atomic Absorption Spectrometry (Perkin Elmer Analyst 400)"],"keywordsOther":["dissolved inorganic carbon","particulate organic carbon","DIC","DOC","POC","nutrient","dissolved organic carbon","organic carbon"],"keywordsPlace":["Peru","Amazonia","Amazon"],"licence":"Open government licence","lineage":"Throughfall and rain water were collected in 31.5 centimetre diameter plastic buckets covered with fine mesh to prevent litter entering. Four replicate throughfall collectors were deployed. Eight trees without visible defects were selected for stemflow collection in the same vicinity. The stemflow collection systems were made of flexible plastic piping cut in half, attached to the tree stems with minimal use of small nails and silicon sealant to close the gaps between the pipe edge and the tree stem to direct the stemflow into the collection system into a plastic collection bucket at the bottom of the tree. Rainwater was collect at an open area near approximately two kilometres away from the throughfall collectors as a suitable site could not be found close to the location of the throughfall and stemflow sites.\n\nA plastic pipe cut in half lengthways was placed under the stream bank to capture the overland flow and set at an angle to drain into a receiver bucket through a hole cut on the side of the bucket. The bucket was covered with a lid to prevent leaves and other litter falling in. All collectors were emptied after each rain event and when sufficient volume had been collected. Samples were taken for Dissolved Organic Carbon (DOC) and Particulate Organic Carbon (POC) analysis. On a small subset Dissolved Inorganic Carbon (DIC) samples were also collected. DIC samples were collected in pre-acidified (150 micro litre of concentrated phosphoric acid) evacuated 12 millilitre (ml) exetainers (Labco Ltd). Using a 10 ml syringe (rinsed with sample water 3 times) sample was injected into the exetainers and the needle withdrawn under water to prevent air ingress. On each sampling occasion triplicate exetainers were filled. Nutrient cations were measured in rain water and throughfall only.\n\nDOC samples were collected in polyethylene bottles and filtered through pre-furnaced (8 hours at 450 degrees Celsius) 0.7 micro metre glassfibre filter paper (Whatman GF/F) on the day of sampling and stored refrigerated in Nalgene bottles. Prior to the analysis aliquots of the samples were acidified to pH 3.9 and degassed to remove any DIC and analysed for DOC concentration by combustion (Thermalox TOC 2020, Analytical Sciences). The filter papers were air-dried and stored in air tight containers with indicating silica gel as a drying agent. POC concentration was measured by loss on ignition. In the laboratory the filter papers were first oven dried (3 hours at 105 degrees Celsius) to establish the dry weight which was measured on a five figure balance. Then the filter papers were furnace (16 hours at 375 degrees Celsius) and re-weighed. The weight loss was converted to mg C assuming percentage Organic Carbon is equal to 50 percent. \n\nAliquots of the filtered water sample were analysed for calcium (Ca) and magnesium (Mg) by Atomic Absorption Spectrometry (Perkin Elmer Analyst 400). Potassium (K) and sodium (Na) concentrations were determined by flame photometry (Sherwood Scientific M410). Colorimetric method was used to measure total dissolved phosphorus (totP) and silicon (Si). Phosphorus analysis is based on the formation of a phosphomolybdate complex which is then reduced using ascorbic acid to give blue colour that can be measured at 880 or 700 Nano metres (nm). Silica was converted to a coloured compound using the Heteropoly Blue Molybdosilicate method (American Public Health Association, 1999) and measured at 650 nm.\n\nData was entered into Excel spreadsheets and exported as comma separated files for ingestion into the Environmental Information Data Centre (EIDC)","locations":["POLYGON((-69.301 -12.841, -69.301 -12.828, -69.286 -12.828, -69.286 -12.841, -69.301 -12.841))"],"metadataDate":"2026-06-27T19:53:50.000Z","orcid":["https://orcid.org/0000-0001-6263-1252","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0001-7594-3693"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-04-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59bdb8f6-fb1f-418f-a53c-394f6c68a334","10.5285/59bdb8f6-fb1f-418f-a53c-394f6c68a334","doi:10.5285/59bdb8f6-fb1f-418f-a53c-394f6c68a334"],"resourceType":"Dataset","ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"Aquatic carbon (dissolved inorganic carbon (DIC), dissolved organic carbon (DOC) and particulate organic carbon and the carbon isotopic composition of DIC) and nutrients (calcium, magnesium, potassium, sodium, total soluble phosphorus and silica) in rainfall fractions…","state":"published","supplementalDescription":["Waldron, S., E. M. Scott, L. E. Vihermaa, and J. Newton (2014), Quantifying precision and accuracy of measurements of dissolved inorganic carbon stable isotopic composition using continuous-flow isotope-ratio mass spectrometry, Rapid. Commun. Mass Sp., 28(10), 1117-1126."],"title":"Carbon and nutrient data for rainfall fractions in the Peruvian Amazon","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University"],"authorFamilyName":["Mugabo","Gilljam","Petteway","Hall","Yuan","Fowler","Sait"],"authorFullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Hall, E.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"authorGivenName":["M.","D.","L.","E.","C.","M.S.","S. M."],"authorOrcid":["https://orcid.org/0000-0002-2346-2617","https://orcid.org/0000-0003-1544-0407"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on life history variation and population dynamics in response to coloured environmental variation in the laboratory model system comprised of the moth Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst). \n\nData were collected from two complementary experiments investigating the effects of daily coloured temperature fluctuations on individual life history variation (single-generation life history experiment) and population dynamics (multi-generation microcosm experiment) in both species. In both experiments, the effects of three types of coloured noise were investigated and compared to constant temperature conditions: blue noise (characterized by rapid (negatively autocorrelated) fluctuations), red noise (characterized by slow (positively autocorrelated) fluctuations) and white noise (characterized by random fluctuations). The life history experiment lasted 56 days and the microcosm experiment lasted 310 days.","documentType":"GEMINI_DOCUMENT","familyName":["Mugabo","Gilljam","Petteway","Hall","Yuan","Fowler","Sait"],"fullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Hall, E.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"funder":["Natural Environment Research Council"],"givenName":["Marianne","M.","D.","L.","E.","C.","M.S.","S. M."],"grant":["NE/N00213X/1"],"identifier":"ef7e47ae-bd28-4449-8587-8e5dda4ccfee","incomingCitationCount":0,"keyword":["Animal behaviour","Venturia canescens","Plodia interpunctella","Indian Meal Moth"],"keywordsOther":["Venturia canescens","Plodia interpunctella","Indian Meal Moth"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"A single-generation life history experiment and a multi-generation microcosm experiment was carried out in the Plodia interpunctella-Venturia canescens host-parasitoid laboratory model system to investigate the effects of coloured temperature fluctuations on life history variation and population dynamics in a trophic interaction. The colour of environmental variation refers to its temporal (or spatial) structure. High frequencies (rapid fluctuations) dominate in blue environments, low frequencies (slow fluctuations) dominate in red environments and there is no dominant frequency in white environments. \n\nMore details of the material and methods can be found in the Supplementary information.","metadataDate":"2026-06-29T17:12:37.000Z","orcid":["https://orcid.org/0000-0002-2346-2617","https://orcid.org/0000-0003-1544-0407"],"organisation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ef7e47ae-bd28-4449-8587-8e5dda4ccfee","10.5285/ef7e47ae-bd28-4449-8587-8e5dda4ccfee","doi:10.5285/ef7e47ae-bd28-4449-8587-8e5dda4ccfee"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on life history variation and population dynamics in response to coloured environmental variation in the laboratory model system comprised of the moth Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens…","state":"published","supplementalDescription":["Gilljam, D., Knape, J., Lindén, A., Mugabo, M., Sait, S. M., & Fowler, M. S. (2018). The colour of environmental fluctuations associated with terrestrial animal population dynamics. Global Ecology and Biogeography, 28(2), 118–130. "],"title":"Effects of coloured environmental noise on life history variation and population dynamics in the Plodia-Venturia trophic interaction","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute"],"authorFamilyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"authorFullName":["Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"authorGivenName":["L. J.","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 maps the risks of Phytophthora pluvialis infection for 11098 forest fragments in Scotland identified as containing the known hosts Douglas fir or western hemlock. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. Fragment risk scores integrate climate suitability and proximity to other fragments/infected sites, recent planting of these hosts (forestry grant schemes), inspected premises and water courses. Infections of P. pluvialis have been reported on Douglas fir and Western hemlock in Cornwall, Devon, Cumbria, Wales and Scotland since the outbreak was first detected in 2021. Outside of the UK, pine species (Pinus radiata, P. strobus, P. patula) are also susceptible to the pathogen. The scored fragment data were intersected with the boundaries of conservancies, local authorities and active P. pluvialis demarcated areas to summarise the distribution of risks across regions in Scotland.  ","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.J.","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. J.","K.","G.","F.","D. E. L.","R.","B. V."],"grant":["NE/V019813/1","PHC2023/02","TH12224FR10"],"identifier":"921fcc2e-7491-4058-a21b-3d1de0be1507","incomingCitationCount":0,"keyword":["Scotland","Environmental risk","exotic species","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","western hemlock","Phytophthora pluvialis","Pseudotsuga menziesii","Tsuga heterophylla","Douglas fir"],"keywordsOther":["exotic species","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","western hemlock","Phytophthora pluvialis","Pseudotsuga menziesii","Tsuga heterophylla","Douglas fir"],"keywordsPlace":["Scotland"],"keywordsTheme":["Environmental risk"],"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 including forestry, conservation, horticulture, and government agencies. The distributions of Douglas fir and western hemlock fragments in Scotland were mapped using the National Forest Estate Subcompartments 2019 and the Native Woodland Survey of Scotland. This was supplemented with Scottish Forestry Phytophthora surveillance data and Statutory Plant Health Notices (SPHNs) since 2013 and detections on Douglas fir or western hemlock in a global Phytophthora database. Felled areas since 2013 were removed using the National Forest Inventory. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. The consensus among workshop participants was for climate suitability to be the primary risk factor. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of the climate suitability models for other Phytophthora species has been attempted using independent UK and European detections.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:05:21.000Z","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":"2025-10-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/921fcc2e-7491-4058-a21b-3d1de0be1507","10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507","doi:10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset maps the risks of Phytophthora pluvialis infection for 11098 forest fragments in Scotland identified as containing the known hosts Douglas fir or western hemlock. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through…","state":"published","title":"Spatial risk analysis for Phytophthora pluvialis infection of Douglas fir and western hemlock in Scotland","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=3&facet=availability%7CAvailable"}