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University"],"authorFamilyName":["Crosse","Shore","Wadsworth","Jones","Pereira"],"authorFullName":["Crosse, J.","Shore, R.","Wadsworth, R.","Jones, K.","Pereira, M.G."],"authorGivenName":["J.","R.","K.","M. Gloria"],"authorOrcid":["0000-0003-3740-0019"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data on long term trends in Polybrominated diphenyl ethers (PBDEs) in sparrowhawk (Accipiter nisus) eggs. Samples were selected from the Predatory Bird Monitoring Scheme (PBMS) Archive. Failed or abandoned sparrowhawk eggs were taken from nests by licensed egg collectors and archived as part of the monitoring activities of the PBMS in the UK. The period studied was 1985 to 2007. Data are presented in three tables including detected PBDEs, interpolated PBDEs and sample properties which are described in a metadata file. The Predatory Bird Monitoring Scheme (PBMS) is a long-term, national monitoring scheme that quantifies the concentrations of contaminants in the livers and eggs of selected species of predatory and fish-eating birds in Britain. ","documentType":"GEMINI_DOCUMENT","familyName":["Crosse","Shore","Wadsworth","Jones","Pereira"],"fullName":["Crosse, J.","Shore, R.","Wadsworth, R.","Jones, K.","Pereira, M.G."],"givenName":["J.","R.","K.","M. Gloria"],"identifier":"5fdccbe5-066b-4130-8431-d6389c31cea2","incomingCitationCount":1,"keyword":["United Kingdom","Predatory Bird Monitoring Scheme (PBMS)","Pollution","Accipiter nisus","Eurasian sparrowhawk","Polybrominated diphenyl ethers (PBDE)"],"keywordsOther":["Accipiter nisus","Eurasian sparrowhawk","Polybrominated diphenyl ethers (PBDE)"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Predatory Bird Monitoring Scheme (PBMS)"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Failed or abandoned sparrowhawk eggs were taken from nests by licensed egg collectors and archived as part of the monitoring activities of the Predatory Bird Monitoring Scheme (PBMS) in the UK. Egg weight, length and breadth were measured and the eggs were then blown or cracked open. The shells were washed, air-dried and reweighed, while the egg contents were homogenised and stored in glass jars at -20 deg C until analysed. \n\nSamples were selected from the PBMS archive for PBDE analysis based on the criteria of covering the longest temporal period in eggs from the smallest possible geographical area, which was found to be the region of England directly east and within 250 km of the Welsh border. \n\nSampling years were determined by the availability of eggs in the archive, the criterion being that three to five eggs, each from a different nest, were available for analysis for each sampling year. There were sufficient eggs for ten sampling years that spanned the period 1985-2007. When more than one egg was available from any given nest, the egg for analysis was selected at random as laying order was not known.","locations":["POLYGON((-3 51, -3 54, 0 54, 0 51, -3 51))"],"metadataDate":"2026-09-25T12:35:01.000Z","orcid":["0000-0003-3740-0019"],"organisation":["Centre for Ecology & Hydrology","Lancaster University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-12-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1349082264268","CEH:EIDC::1349082264268","https://catalogue.ceh.ac.uk/id/5fdccbe5-066b-4130-8431-d6389c31cea2","10.5285/5fdccbe5-066b-4130-8431-d6389c31cea2","doi:10.5285/5fdccbe5-066b-4130-8431-d6389c31cea2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Data on long term trends in Polybrominated diphenyl ethers (PBDEs) in sparrowhawk (Accipiter nisus) eggs. Samples were selected from the Predatory Bird Monitoring Scheme (PBMS) Archive. Failed or abandoned sparrowhawk eggs were taken from nests by licensed egg collectors…","state":"published","temporalExtentText":"Data collected from 1985 to 2007","title":"Concentrations of polybrominated diphenyl ethers (PBDEs) in sparrowhawk (Accipiter nisus) eggs in the UK","topic":["0/Pollution/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","O'Neil, A.W."],"authorGivenName":["C.S. ","C.G.","A.W."],"authorOrcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel dataset with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.S. ","C.G.","A.W."],"grant":["NE/Y006208/1"],"identifier":"99ecdc84-5313-48c2-9fad-6a5e8ad3953e","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","Biodiversity Action Plan","land cover","map","habitat"],"keywordsOther":["Biodiversity Action Plan","land cover","map","habitat"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2024 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-09-02T10:06:35.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/99ecdc84-5313-48c2-9fad-6a5e8ad3953e","10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e","doi:10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Land Cover Map 2024 (land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Stirling","University of O'Higgins"],"authorFamilyName":["Jump","Greenwood","Venegas-González","Paredes-Berríos"],"authorFullName":["Jump, A.","Greenwood, S.","Venegas-González, A.","Paredes-Berríos, P."],"authorGivenName":["Alistair","Sarah","Alejandro","Pablo"],"authorOrcid":["0000-0002-2167-6451","0000-0001-9104-7936","0000-0003-4568-4533","0009-0004-8188-8044"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/044cse639"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset comprises multispectral orthoimagery acquired from six drone flights over sclerophyllous and deciduous forest in La Campana National Park, located in the Mediterranean bioregion of central Chile, conducted in January 2024. Raw images were processed in Agisoft Metashape following a standard structure-from-motion workflow: images were first aligned to estimate camera positions and generate a sparse point cloud, followed by the construction of a dense point cloud for detailed surface reconstruction, and finally generating the five-band orthomosaics (Blue, Green, Red, Red Edge, Near-Infrared) at high spatial resolution. These data were collected to quantify drought-induced canopy defoliation and forest structural degradation following extreme Hyperdrought events in 2019 and 2021. This resource is intended for researchers studying climate change impacts on Mediterranean-type ecosystems, remote sensing applications in forest ecology, and drought-induced mortality mechanisms.","documentType":"GEMINI_DOCUMENT","familyName":["Jump","Greenwood","Venegas-González","Paredes-Berríos"],"fullName":["Jump, A.","Greenwood, S.","Venegas-González, A.","Paredes-Berríos, P."],"funder":["Natural Environment Research Council"],"givenName":["Alistair","Sarah","Alejandro","Pablo"],"grant":["NE/Y004205/1"],"identifier":"f7a5f084-4cb9-4247-88ce-85de712d0217","incomingCitationCount":0,"keyword":["Biodiversity","Mapping","Environmental survey","Land cover","biodiversity","central chile","climate change","drought","forest ecology","forest mortality","Mediterranean climate","Mediterranean forest","Mediterranean wood","tree","tree mortality"],"keywordsOther":["biodiversity","central chile","climate change","drought","forest ecology","forest mortality","Mediterranean climate","Mediterranean forest","Mediterranean wood","tree","tree mortality"],"keywordsTheme":["Biodiversity","Mapping","Environmental survey","Land cover"],"licence":"Open government licence","lineage":"Multispectral imagery was acquired in January 2024 using a DJI Phantom 4 Multispectral drone across six separate flights over La Campana National Park (Chile). The drone captured five spectral bands (Blue, Green, Red, Red Edge, Near-Infrared) at a spatial resolution of approximately 6.5 cm/pixel. Raw image files were processed in Agisoft Metashape software to generate georeferenced orthomosaics for each flight. Quality assurance steps included: (1) visual inspection of orthomosaics for artefacts, seam lines, and alignment errors; and (2) consistency checks across overlapping flight lines to ensure complete coverage of the images over the ground. Final orthoimagery was exported in GeoTIFF format with per-band digital number (DN) values ranging from 0 to 65535, accompanied by an RGB visualization recommended using Band 3 (Red), Band 2 (Green), and Band 1 (Blue) with min-max stretches of 0-3000. No atmospheric correction was applied; raw DN values are provided.","locations":["POLYGON((-71.145 -32.985, -71.145 -32.95, -71.1 -32.95, -71.1 -32.985, -71.145 -32.985))"],"metadataDate":"2026-07-31T10:55:28.000Z","orcid":["0000-0002-2167-6451","0000-0001-9104-7936","0000-0003-4568-4533","0009-0004-8188-8044"],"organisation":["University of Stirling","University of O'Higgins","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7a5f084-4cb9-4247-88ce-85de712d0217","10.5285/f7a5f084-4cb9-4247-88ce-85de712d0217","doi:10.5285/f7a5f084-4cb9-4247-88ce-85de712d0217"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/044cse639","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises multispectral orthoimagery acquired from six drone flights over sclerophyllous and deciduous forest in La Campana National Park, located in the Mediterranean bioregion of central Chile, conducted in January 2024. Raw images were processed in Agisoft…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Multispectral drone orthoimagery of sclerophyllous and deciduous forests in La Campana National Park, Chile, January 2024","topic":["0/Biodiversity/","0/Mapping/","0/Environmental survey/","0/Land cover/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"This dataset is from an array of tensiometers measuring soil water tension installed at the Llyn Hir monitoring site within the Pontbren study site in mid Wales, UK. Three tensiometers were installed at 10 cm, 30 cm, and 50 cm depth and sampled every 10 minutes between September 2008 to December 2009 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. The Llyn Hir site is an area of unimproved grassland adjacent to the Llyn Hir rain gauge and Llyn Hir outflow stream gauging site (Site 8). Soil water tension data (cm H2O) are provided in the form of .txt files and generally split into 6 month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Details of the dataset and the quality assurance coding system are provided in the supporting documentation. \n\nDatasets from the rain gauges and stream monitoring system at the Llyn Hir site are also provided by the EIDC.  ","documentType":"GEMINI_DOCUMENT","familyName":["Marshall"],"fullName":["Marshall, M."],"givenName":["M"],"identifier":"4088722b-255c-482c-aeeb-4d1b66deb333","incomingCitationCount":0,"keyword":["United Kingdom","Wales","Pontbren","Soil","Hydrology","Water","flooding","flood risk management"],"keywordsOther":["Water","flooding","flood risk management"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Soil","Hydrology"],"licence":"Non-Open government licence","lineage":"Digital data subject to manual validation procedures during capture and transfer to the main geo database and through subsequent statistical analysis and modelling.  Full details provided in the 'Pontbren Catchment Study Data catalogue'.","locations":["POLYGON((-3.447 52.632, -3.447 52.656, -3.391 52.656, -3.391 52.632, -3.447 52.632))"],"metadataDate":"2026-09-15T08:45:19.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1331812778609","CEH:EIDC::1331812778609","https://catalogue.ceh.ac.uk/id/4088722b-255c-482c-aeeb-4d1b66deb333"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is from an array of tensiometers measuring soil water tension installed at the Llyn Hir monitoring site within the Pontbren study site in mid Wales, UK. Three tensiometers were installed at 10 cm, 30 cm, and 50 cm depth and sampled every 10 minutes between…","state":"published","supplementalDescription":["Wheater, H., Reynolds, B., McIntyre, N., Marshall, M., Jackson, B., Frogbrook, Z., Solloway, I., Francis, O. and Chell, J.  2008.  Impacts of upland management on flood risk: multi-scale modelling on methodology and results from the Pontbren Experiment.  FRMRC Research Report UR 16.  December 2008.  ","Marshall, M.R., Francis, O.J., Frogbrook, Z.L., Jackson, B.M., McIntyre, N., Reynolds, B., Solloway, I., Wheater, H.S. and Chell, J.  2009. The impact of upland land management on flooding: results from an improved pasture hillslope.  Hydrological Processes, 23, 464-475."],"supplementalName":["The Flood Risk Management Research Consortium website"],"temporalExtentText":"Data collected from 2005 to 2010","title":"Pontbren Llyn Hir study site soil water tension data","topic":["0/Soil/","0/Hydrology/"],"version":1.0,"view":["public","bpu"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["Maliko","Filip","Matt","Claus","Jamie"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre doi:10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3 [2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["Maliko","Filip","Matt","Claus","Jamie"],"identifier":"5e1792a0-ae95-4e77-bccd-2fb456112cc1","incomingCitationCount":0,"keyword":["Hydrology","Integrated Hydrological Units","IHU","SPI","indicator","rainfall extremes","drought"],"keywordsOther":["Integrated Hydrological Units","IHU","SPI","indicator","rainfall extremes","drought"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in McKee et al. [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by Stagge et al. [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in Tanguy et al. [3]). To calculate SPI, the R package SCI was used (Gudmundsson & Stagge [4]), but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [5], Keller et al. [6]) which has been area-averaged over each of the Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [7]). [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. [2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. doi: 10.1002/joc.4267 [3] Tanguy et al. (2015), in preparation. [4] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf [5] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre doi:10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e [6] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ doi:10.5194/essdd-8-83-2015. [7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre doi:10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"metadataDate":"2026-07-24T23:10:25.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1431704829276","CEH:EIDC::1431704829276","https://catalogue.ceh.ac.uk/id/5e1792a0-ae95-4e77-bccd-2fb456112cc1","10.5285/5e1792a0-ae95-4e77-bccd-2fb456112cc1","doi:10.5285/5e1792a0-ae95-4e77-bccd-2fb456112cc1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated…","state":"published","supplementalName":["CEH droughts application"],"temporalExtentText":"Data collected from 1961 to 2012","title":"Standardised Precipitation Index time series for Integrated Hydrological Units Hydrometric Areas (1961-2012)","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"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":["0000-0002-2844-1399","0000-0001-8230-2501","0000-0001-7654-5873","0000-0002-5464-2397","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":"2026-07-25T13:16:34.000Z","orcid":["0000-0002-2844-1399","0000-0001-8230-2501","0000-0001-7654-5873","0000-0002-5464-2397","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","temporalExtentText":"Data collected from 2017 to 2019","title":"Hemispherical photographs for estimation of leaf area index of Caatinga vegetation in Brazil, 2017-2019","version":1.0,"view":["public","clwe"]},{"altTitle":["LCM2017"],"availability":"Unknown","catalogue":"eidc","description":"Land Cover Map 2017 (LCM2017) represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.\n\nThese are one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","identifier":"c70f2c9a-b78c-4302-8577-8fc5499ea0f3","incomingCitationCount":0,"keyword":["Land cover","Mapping"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:02:40.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-01T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c70f2c9a-b78c-4302-8577-8fc5499ea0f3"],"resourceType":"Aggregation","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Land Cover Map 2017 (LCM2017) represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously…","state":"published","title":"Land Cover Map 2017","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Cardiff University","Imperial College London"],"authorFamilyName":["Durance","Feeley","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"authorFullName":["Durance, I.","Feeley, H.B.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"authorGivenName":["I.","H.B.","M.C.","C.","S.J.","G."],"authorOrcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-6785-4049","0000-0002-8174-302X"],"authorRor":["https://ror.org/03kk7td41","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of fish species, fish length and fish weight from samples taken from small and medium catchments across Wales. Samples were collected in the summers and autumns of 2012 and 2013 using electrofishing. All the collected individuals were counted and recorded to represent the fish diversity and abundance of each sampling site and date. The main goal of this survey was to relate fish production with a gradient of aquatic biodiversity associated with different environmental settings (land-use intensify, recovery from acidification). \n\nDr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley was in charge of collecting, sorting and measuring the fish samples. The work was carried out under the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. ","documentType":"GEMINI_DOCUMENT","familyName":["Durance","Feeley","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"fullName":["Durance, I.","Feeley, H.B.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"funder":["Natural Environment Research Council"],"givenName":["I.","H.B.","M.C.","C.","S.J.","G.","Isabelle"],"grant":["NE/J014818/1"],"identifier":"57f95ff8-e1b0-41b9-866a-feb231aecb67","incomingCitationCount":0,"keyword":["DURESS","Atlantic salmon","Brown Trout","land use","acidity","benthic ecosystem"],"keywordsOther":["Atlantic salmon","Brown Trout","land use","acidity","benthic ecosystem"],"keywordsProject":["DURESS"],"licence":"Open government licence","lineage":"Fish populations at the study sites were surveyed during a stable base-flow period from June to September 2012 and in July and September 2013. Fish samples were collected by electrofishing in representative 30 metre reaches that were enclosed with stop nets Fish caught during each pass were transferred immediately to a holding container containing stream water. After each pass, individuals were identified to species, weighed to the nearest gram using an electronic balance and fork length (FL) measured to the nearest millimetre was recorded. The mass of some individuals could not be accurately determined in the field. For these fish, mass was estimated using a length-mass regression, based on the 2012 observed data. (Details in supporting documentation).\n\nResults were recorded in the field and results transferred into an Excel spreadsheet. Data was exported to a comma separated file for ingestion into the Environmental Information Data Centre (EIDC).","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-07-24T23:06:39.000Z","orcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-6785-4049","0000-0002-8174-302X"],"organisation":["Cardiff University","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57f95ff8-e1b0-41b9-866a-feb231aecb67","10.5285/57f95ff8-e1b0-41b9-866a-feb231aecb67","doi:10.5285/57f95ff8-e1b0-41b9-866a-feb231aecb67"],"resourceType":"Dataset","ror":["https://ror.org/03kk7td41","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of fish species, fish length and fish weight from samples taken from small and medium catchments across Wales. Samples were collected in the summers and autumns of 2012 and 2013 using electrofishing. All the collected individuals were counted and…","state":"published","supplementalDescription":["Beaumont W.R.C. (2011) Electric Fishing: A Complete Guide to Theory and Practice. Game & Wildlife Conservation Trust, Fordingbridge, Hampshire.","Kruse C.G., Hubert W.A. & Rahel F.J. (1998) Single-pass electrofishing predicts trout abundance in mountain streams with sparse habitat. North American Journal of Fisheries Management, 18, 940-946.","Maitland P.S. (1972) A key to the freshwater fishes of the British Isles. Scientific Publication of the Freshwater Biological Association, 27, 1-137."],"title":"Fish species and production in Welsh rivers along a biodiversity gradient (2012 - 2013)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. \n\nButterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats. \n\nAlthough the UK Centre for Ecology & Hydrology (UKCEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the Collated indices, the collection of the data used in their creation is ultimately reliant on a large volunteer community. The UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). \n\nThis dataset is updated annually and more recent versions of the UKBMS collated indices are available.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"givenName":["M.","D.","T.","I.","Z."],"identifier":"ff55462e-38a4-4f30-b562-f82ff263d9c3","incomingCitationCount":1,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-07-25T18:12:26.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["UK Butterfly Monitoring Scheme","Centre for Ecology & Hydrology","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1329909998347","CEH:EIDC::1329909998347","https://catalogue.ceh.ac.uk/id/ff55462e-38a4-4f30-b562-f82ff263d9c3","10.5285/ff55462e-38a4-4f30-b562-f82ff263d9c3","doi:10.5285/ff55462e-38a4-4f30-b562-f82ff263d9c3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been…","state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites. "],"supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1976 to 2011","title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2011","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of the West of England","Bose Institute"],"authorFamilyName":["Fox","Thorn","Dutta","Reynolds"],"authorFullName":["Fox, B.G.","Thorn, R.M.S.","Dutta, T.K.","Reynolds, D.M."],"authorGivenName":["B.G.","R.M.S.","T.K.","D.M."],"authorOrcid":["0000-0002-2115-8945","0000-0002-4907-150X","0000-0002-7002-1320"],"authorRor":["https://ror.org/02nwg5t34","https://ror.org/01a5mqy88"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises field sensor physicochemical and optical/fluorescence measurements, as well as laboratory microbiological and chemical analysis, for urban surface water samples. Samples were collected at different locations throughout the urban area of Kolkata, with the latitude and longitude of all sample location provided within the spreadsheets. Samples/data were collected across three separate field surveys undertaken in June 2018 (file 1), March 2019 (file 2) and December 2019 (file 3). This dataset forms a case study of the water quality of three different types of urban surface freshwaters within the city of Kolkata, India. This case study was created to deploy a prototype multichannel fluorimeter and assess its ability to identify waters with a high bacterial load and biological contamination events through the use of Peak T fluorescence.","documentType":"GEMINI_DOCUMENT","familyName":["Fox","Thorn","Dutta","Reynolds"],"fullName":["Fox, B.G.","Thorn, R.M.S.","Dutta, T.K.","Reynolds, D.M.","Fox, B."],"funder":["Natural Environment Research Council"],"givenName":["B.G.","R.M.S.","T.K.","D.M.","Bethany"],"grant":["NE/R003106/1"],"identifier":"9bc3dce7-7c2b-49dd-9b76-819267d7a352","incomingCitationCount":0,"keyword":["Kolkata","India","River Ganges","Water quality","Fluorescence","Flourescent","Dissolved organic matter","Aquatic","Sensing","in-situ sensing ","real-time monitoring","E.coli","Physioochemical ","coliform bacterium","biological contamination","organic matter","wetland","canal","surface water","freshwater","urban water","river"],"keywordsOther":["Fluorescence","Flourescent","Dissolved organic matter","Aquatic","Sensing","in-situ sensing ","real-time monitoring","E.coli","Physioochemical ","coliform bacterium","biological contamination","organic matter","wetland","canal","surface water","freshwater","urban water","river"],"keywordsPlace":["Kolkata","India","River Ganges"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Some of the data was collected in the field at the sampling locations, whilst other analysis was conducted on samples collected at the sampling time. Field equipment was calibrated as necessary, with handheld meters being calibrated with the correct reagents weekly. The fluorimeters were calibrated before the field surveys by the manufacturer and checks were carried out before each sampling day to ensure baseline values were as expected (0 QSU or 0 FNU in DI water). Data here is provided as an average with a standard deviation to represent 1 minute (n =-60) of sampling time. The survey conducted in December 2019 provides fluorescence data as a single value due to errors in data logging. Microbiological analysis was conducted within 6 hours of the sample collection, whilst some of the nutrient analysis was conducted up to 3 weeks after samples were collected in India. These were analysed in the UK but standard preparation, storage and transportation procedures were followed.","locations":["POLYGON((87.956 22.266, 87.956 22.794, 88.611 22.794, 88.611 22.266, 87.956 22.266))"],"metadataDate":"2026-09-15T08:35:55.000Z","orcid":["0000-0002-2115-8945","0000-0002-4907-150X","0000-0002-7002-1320"],"organisation":["University of the West of England","Bose Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9bc3dce7-7c2b-49dd-9b76-819267d7a352","10.5285/9bc3dce7-7c2b-49dd-9b76-819267d7a352","doi:10.5285/9bc3dce7-7c2b-49dd-9b76-819267d7a352"],"resourceType":"Dataset","rightsHolder":["University of the West of England"],"ror":["https://ror.org/02nwg5t34","https://ror.org/01a5mqy88","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises field sensor physicochemical and optical/fluorescence measurements, as well as laboratory microbiological and chemical analysis, for urban surface water samples. Samples were collected at different locations throughout the urban area of Kolkata,…","state":"published","temporalExtentText":"Data collected from 2018 to 2019","title":"Water quality of urban surface freshwater in Kolkata, India, June 2018 to December 2019","topic":["0/Water quality/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Dundee","ETH Zurich","University of Aberdeen","University of Nottingham","LTS International","Face the Future","University of Edinburgh","Yayasan Sabah Group"],"authorFamilyName":["Cutler","Philipson","Burslem","Foody","Lincoln","Pinard","Snoep","Wheeler","Tangki","Wai"],"authorFullName":["Cutler, M.E.J.","Philipson, C.D.","Burslem, D.F.R.P.","Foody, G.M.","Lincoln, P.","Pinard, M.A.","Snoep, M.","Wheeler, C.E.","Tangki, H.","Wai, Y.S."],"authorGivenName":["M.E.J.","C.D.","D.F.R.P.","G.M.","P.","M.A.","M.","C.E.","H.","Y.S."],"authorOrcid":["0000-0002-3893-1068","0000-0001-8987-7260","0000-0001-6464-3054","0000-0003-4149-5997"],"authorRor":["https://ror.org/03h2bxq36","https://ror.org/05a28rw58","https://ror.org/016476m91","https://ror.org/01ee9ar58","https://ror.org/00daeq875","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented for Above ground Carbon Density (ACD) estimated from a series of forest census surveys which took place from 1992- 2016 in a mixture of logged and unlogged tropical lowland dipterocarp forest in the Ulu Segama Forest Reserve (USFR) and Danum Valley Conservation Area (DVCA), Sabah, Malaysia. Additional data on logging method, coupe and year of logging is also presented. The USFR comprises of forested land divided into coupes that were each logged once, between 1972 and 1993 using either \"tractor\" or \"high-lead\" methods. Between 1993 and 2004, forest restoration treatments were carried out, including climber cutting and tree planting, annually across logging coupes within the USFR.\n\nThe data-set was compiled from census carried out in three independent plot networks. The first led by researchers from the Universities of Dundee, Aberdeen and Nottingham. The second led by researchers from the University of Aberdeen. The third through the INnoprise FAce PROject INFAPRO project. Between 1992 and 2016 a forest census survey was carried out on at least two occasions in 553 forest plots to determine the rate of ACD accumulation and understand the impact of forest restoration treatments on ACD accumulation. Tree stem diameter, height and identity measurements at each plot were collected by project members and research assistants employed by the SouthEast Asian Rainforest Research Partnership (SEARRP). The ACD carbon estimation and modelling was led by researchers from the Universities of Dundee, ETH Zurich and Aberdeen. The data were compiled and submitted by researchers from the University of Dundee and ETH Zurich.\n\nFunding for the establishment of the original plot networks was provided by the EU-funded INDFORSUS project (ER-BIC18T960102), from New England Electric Systems, National Geographic Society and the Garden Club of America, and from Face the Future Foundation. Funding for the repeated measurements was provided by the NERC \"Spatio-TEmporal Dynamics of Forest Response to ENSO Drought (STEED)\" (NERC grant reference NE/P004806/1) and the Carnegie Trust for the Universities of Scotland funded project\"Changing species diversity and biomass accumulation in conserved and regenerating tropical forests: two decades on\".","documentType":"GEMINI_DOCUMENT","familyName":["Cutler","Philipson","Burslem","Foody","Lincoln","Pinard","Snoep","Wheeler","Tangki","Wai"],"fullName":["Cutler, M.E.J.","Philipson, C.D.","Burslem, D.F.R.P.","Foody, G.M.","Lincoln, P.","Pinard, M.A.","Snoep, M.","Wheeler, C.E.","Tangki, H.","Wai, Y.S."],"funder":["Natural Environment Research Council"],"givenName":["M.E.J.","C.D.","D.F.R.P.","G.M.","P.","M.A.","M.","C.E.","H.","Y.S."],"grant":["NE/P004806/1"],"identifier":"a75e6371-a931-4676-9199-d1f5af565ab2","incomingCitationCount":1,"keyword":["Danum Valley Conservation Area","Sabah","Malaysia","Borneo","Tropical lowland dipterocarp forest","tropical forest"],"keywordsOther":["Tropical lowland dipterocarp forest","tropical forest"],"keywordsPlace":["Danum Valley Conservation Area","Sabah","Malaysia","Borneo"],"licence":"Open government licence","lineage":"Between 1992 and 2016 a forest census survey was carried out  in three independent plot networks on at least two occasions to determine the rate of Aboveground Carbon Density (ACD). Tree stem diameter (DBH), height and identity measurements at each plot were collected by project members and research assistants employed by the SouthEast Asian Rainforest Research Partnership (SEARRP). Data were recorded onto field sheets and transposed into Excel spreadsheets. The ACD carbon estimation was calculated using allometric equations based on DBH measured at 1.3 metres, tree height and wood density  The data were compiled and submitted by researchers from the University of Dundee and ETH Zurich as a comma separated value file for deposit into the EIDC.","locations":["POLYGON((117.079 4.357, 117.079 5.583, 118.309 5.583, 118.309 4.357, 117.079 4.357))"],"metadataDate":"2026-07-25T13:19:41.000Z","orcid":["0000-0002-3893-1068","0000-0001-8987-7260","0000-0001-6464-3054","0000-0003-4149-5997"],"organisation":["University of Dundee","ETH Zurich","University of Aberdeen","University of Nottingham","LTS International","Face the Future","University of Edinburgh","Yayasan Sabah Group","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a75e6371-a931-4676-9199-d1f5af565ab2","10.5285/a75e6371-a931-4676-9199-d1f5af565ab2","doi:10.5285/a75e6371-a931-4676-9199-d1f5af565ab2"],"resourceType":"Dataset","rightsHolder":["University of Dundee"],"ror":["https://ror.org/03h2bxq36","https://ror.org/05a28rw58","https://ror.org/016476m91","https://ror.org/01ee9ar58","https://ror.org/00daeq875","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Data are presented for Above ground Carbon Density (ACD) estimated from a series of forest census surveys which took place from 1992- 2016 in a mixture of logged and unlogged tropical lowland dipterocarp forest in the Ulu Segama Forest Reserve (USFR) and Danum Valley…","state":"published","temporalExtentText":"Data collected from 1992 to 2016","title":"Aboveground carbon density plots from a logged forest, Danum Valley, Borneo, 1992-2016","version":1.0,"view":["public","danor"]},{"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":["0000-0002-5651-2828","0000-0003-4006-7755","0000-0001-9349-0069","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":"2026-09-15T08:36:34.000Z","orcid":["0000-0002-5651-2828","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"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"],"temporalExtentText":"Data collected from 2007 to 2007","title":"Countryside Survey 2007 estimates of linear feature lengths in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Drewer","Leeson","Skiba"],"authorFullName":["Drewer, J.","Leeson, S.R.","Skiba, U.M."],"authorGivenName":["J.","S.R.","U.M."],"authorOrcid":["0000-0002-6263-6341","0000-0001-8659-6092"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains calculated terrestrial fluxes of methane using static chambers from Stordalen mire, a subarctic peatland (68°20’ N, 19°03’ E) located near Abisko, Northern Sweden . Measurements were carried out during growing season 2013 in three measurement campaigns: 16-27 June (number of sampling occasions, n, = 4), 11-22 August (n=5) and 16-29 September (n=5 for wetland and 4 for birch forest). A total of 60 static chambers were measured, 14 within the birch forest and 46 within the wetland. In addition to fluxes auxiliary measurements such as air and soil temperature, soil moisture and soil nutrients were taken and the vegetation composition was recorded.\n\nThe data was collected as part of the MAMM project (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling, http://arp.arctic.ac.uk/projects/) funded by the UK Natural Environment Research Council (grant NE/I029293/1).","documentType":"GEMINI_DOCUMENT","familyName":["Drewer","Leeson","Skiba"],"fullName":["Drewer, J.","Leeson, S.R.","Skiba, U.M."],"funder":["Natural Environment Research Council"],"givenName":["J.","S.R.","U.M.","Julia"],"grant":["NE/I029293/1"],"identifier":"0dc1cdab-0f4f-4564-a863-a4b43335a5d7","incomingCitationCount":0,"keyword":["Sweden","Abisko","methane"],"keywordsOther":["methane"],"keywordsPlace":["Sweden","Abisko"],"licence":"Open government licence","lineage":"The data were collected using the static chamber method. Gas samples were taken from chambers in the field via syringe and injected into vials for storage and later analysis. Samples were analysed on a gas chromatagraph (GC) in the lab. Concentrations were calculated from GC peak areas, calibrated against standard gases of known concentration. Fluxes were calculated from the concentration change in each chamber by linear and non-linear regression using the R package RCflux. Fluxes are expressed as nmoles of methane per square metre per second. Each flux has an associated 95 % confidence interval, based on the regression fit, which gives a guide to the reliability and uncertainty of each measurement.","locations":["POLYGON((19.047 68.348, 19.047 68.354, 19.049 68.354, 19.049 68.348, 19.047 68.348))"],"metadataDate":"2026-07-24T19:02:01.000Z","orcid":["0000-0002-6263-6341","0000-0001-8659-6092"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0dc1cdab-0f4f-4564-a863-a4b43335a5d7","10.5285/0dc1cdab-0f4f-4564-a863-a4b43335a5d7","doi:10.5285/0dc1cdab-0f4f-4564-a863-a4b43335a5d7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains calculated terrestrial fluxes of methane using static chambers from Stordalen mire, a subarctic peatland (68°20’ N, 19°03’ E) located near Abisko, Northern Sweden . Measurements were carried out during growing season 2013 in three measurement campaigns:…","state":"published","supplementalDescription":["Levy, P., Drewer, J., Jammet, M., Leeson, S., Friborg, T., Skiba, U., & Oijen, M. van. (2020). Inference of spatial heterogeneity in surface fluxes from eddy covariance data: A case study from a subarctic mire ecosystem. Agricultural and Forest Meteorology, 280, 107783."],"temporalExtentText":"Data collected from 2013 to 2013","title":"Growing season terrestrial methane static chamber fluxes from Abisko, Northern Sweden (June - September 2013)","version":1.0,"view":["public","leav","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and annual minima of seven-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member.\n\nTo aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid.\n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A.","Kay, A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A.","Alison"],"grant":["NE/R016429/1"],"identifier":"18be3704-0a6d-4917-aa2e-bf38927321c5","incomingCitationCount":1,"keyword":["UK-SCAPE","Modelling","Climate and climate change","Hydrology","River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"keywordsOther":["River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Modelling","Climate and climate change","Hydrology"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018 - https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604) . The projections comprise a twelve-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE derived from other meteorological variables (using the Penman-Monteith scheme). See the documentation accompanying the data for more details.","locations":["POLYGON((-8.903 49.771, -8.903 58.883, 3.181 58.883, 3.181 49.771, -8.903 49.771))"],"metadataDate":"2026-07-24T19:13:29.000Z","orcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/18be3704-0a6d-4917-aa2e-bf38927321c5","10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5","doi:10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and…","state":"published","temporalExtentText":"Data collected from 1980 to 2080","title":"Grid-to-Grid model estimates of river flow for Great Britain driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2","topic":["0/Modelling/","0/Climate and climate change/","0/Hydrology/"],"version":2.0,"view":["public","dgwr"]},{"authorAffiliation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University"],"authorFamilyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock"],"authorFullName":["Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M."],"authorGivenName":["E.L.","A.L.","J.","R.D.","N.","R.F.","J.M."],"authorOrcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains nitrate and ammonium concentrations, nitrification and mineralisation rates, particle size and microbial biomass data from soils taken from an experiment based at Winklebury Hill, UK. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2013 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock"],"fullName":["Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Fry, E."],"givenName":["E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","Ellen"],"identifier":"b8e9c03e-4b71-4e3b-9110-820b7bc0bac7","incomingCitationCount":0,"keyword":["Wessex BESS","Soil","microbial biomass","nitrification rate","mineralisation rate","particle size","nitrate","ammonium","bulk density","biomass","nitrogen","carbon","mineralisation","nitrification","soil"],"keywordsOther":["microbial biomass","nitrification rate","mineralisation rate","particle size","nitrate","ammonium","bulk density","biomass","nitrogen","carbon","mineralisation","nitrification","soil"],"keywordsProject":["Wessex BESS"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"KCl extractable N and potential mineralisation were measured using an autoanalyser, running 5% analytical replicates, recalibration (at 5, 4, 3, 2 and 1 ppm) and blanks every 20 samples. Extracts were adjusted for soil moisture. Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.","locations":["POLYGON((-2.08 50.986, -2.08 50.998, -2.063 50.998, -2.063 50.986, -2.08 50.986))"],"metadataDate":"2026-07-25T12:57:30.000Z","orcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020"],"organisation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-01-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8e9c03e-4b71-4e3b-9110-820b7bc0bac7","10.5285/b8e9c03e-4b71-4e3b-9110-820b7bc0bac7","doi:10.5285/b8e9c03e-4b71-4e3b-9110-820b7bc0bac7"],"resourceType":"Dataset","ror":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains nitrate and ammonium concentrations, nitrification and mineralisation rates, particle size and microbial biomass data from soils taken from an experiment based at Winklebury Hill, UK. The experiment used seeds and plug plants to create different…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Ecosystem function data from Winklebury Hill, UK, in 2013","topic":["0/Soil/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Liverpool"],"authorFamilyName":["Bennett","Harris","Wanless","Green","Newell","Searle","Daunt"],"authorFullName":["Bennett, S.","Harris, M.","Wanless, S.","Green, J.A.","Newell, M.A.","Searle, K.R.","Daunt, F."],"authorGivenName":["S.","M.","J.A.","M.A.","K.R.","F."],"authorOrcid":["0000-0002-7351-5051","0000-0002-2788-4606","0000-0001-8692-0163","0000-0002-4723-175X","0000-0003-4624-9023","0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04xs57h96"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the occupancy of breeding sites in the non-breeding season, breeding timing and success, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes for the non-breeding season of 2017/18, 2018/19 and 2019/20. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS).","documentType":"GEMINI_DOCUMENT","familyName":["Bennett","Harris","Wanless","Green","Newell","Searle","Daunt"],"fullName":["Bennett, S.","Harris, M.","Wanless, S.","Green, J.A.","Newell, M.A.","Searle, K.R.","Daunt, F."],"funder":["Natural Environment Research Council"],"givenName":["S.","M.","J.A.","M.A.","K.R.","F."],"grant":["NE/R016429/1"],"identifier":"40d28d0b-f93d-4c6c-90ef-97a26a510f81","incomingCitationCount":0,"keyword":["Isle of May","Animal behaviour","common guillemot","Uria aalge","site quality","breeding success","site defence","site occupancy","non-breeding","animal behaviour"],"keywordsOther":["common guillemot","Uria aalge","site quality","breeding success","site defence","site occupancy","non-breeding","animal behaviour"],"keywordsPlace":["Isle of May"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"All data derives from time-lapse photography and in-person field observations of common guillemots on the Isle of May by experienced observers from the UK Centre for Ecology & Hydrology. Time-lapse photography data was used to derive non-breeding site occupancy metrics in two study sub-colonies. Breeding success and site quality data were derived from in-person observations at these same sub-colonies. All data were proofed before entering the full dataset and processed as per the accompanying metadata and supporting information.","locations":["POLYGON((-2.574 56.173, -2.574 56.199, -2.536 56.199, -2.536 56.173, -2.574 56.173))"],"metadataDate":"2026-09-15T08:37:16.000Z","orcid":["0000-0002-7351-5051","0000-0002-2788-4606","0000-0001-8692-0163","0000-0002-4723-175X","0000-0003-4624-9023","0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","University of Liverpool","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40d28d0b-f93d-4c6c-90ef-97a26a510f81","10.5285/40d28d0b-f93d-4c6c-90ef-97a26a510f81","doi:10.5285/40d28d0b-f93d-4c6c-90ef-97a26a510f81"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xs57h96","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the occupancy of breeding sites in the non-breeding season, breeding timing and success, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes for…","state":"published","supplementalName":[" Isle of May Long-Term Study"],"temporalExtentText":"Data collected from 2017 to 2020","title":"Occupancy of breeding sites in the non-breeding season, site quality and breeding success data for a population of common guillemots (Uria aalge) on the Isle of May, Scotland, 2017-2020","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Northumbria University","Laboratory of Space Geophysical and Oceanographic Studies (LEGOS)"],"authorFamilyName":["Westoby","Berthier"],"authorFullName":["Westoby, M.","Berthier, E."],"authorGivenName":["M.","E."],"authorOrcid":["0000-0002-2070-5580","0000-0001-5978-9155"],"authorRor":["https://ror.org/049e6bc1","https://ror.org/02chvqy57"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","PNG"],"description":"These data are digital elevation models which describe landscape topography. The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. The data were used as standalone datasets to support this analysis, but also supported numerical modelling using CAESAR-Lisflood (see data collection). The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode. They are a geospatial dataset created in raster (.tif) format. They are most commonly imported into GIS software, where they can be analysed or support other forms of geospatial analysis.","documentType":"GEMINI_DOCUMENT","familyName":["Westoby","Berthier"],"fullName":["Westoby, M.","Berthier, E."],"funder":["Natural Environment Research Council"],"givenName":["M.","E."],"identifier":"5a1eaef4-9211-4227-a017-d20b08be5784","incomingCitationCount":0,"keyword":["Himalaya","digital elevation model","GIS","remote sensing"],"keywordsOther":["digital elevation model","GIS","remote sensing"],"keywordsPlace":["Himalaya"],"licence":"Open government licence","lineage":"The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode on the dates provided in section 1.4 of the supporting documentation. To generate new DEMs at 2 m grid resolution we used a block matching algorithm implemented in the open-source NASA Ames Stereo Pipeline (version v2.6.2_post). We registered the new DEMs to an existing composite DEM dated to September 2015 using the demcoreg toolbox. We also clipped and re-aligned an existing post-event DEM dated 10 February 2021 to the same September 2015 DEM. ","locations":["POLYGON((79.471 30.471, 79.471 30.595, 79.764 30.595, 79.764 30.471, 79.471 30.471))"],"metadataDate":"2026-07-24T23:08:03.000Z","orcid":["0000-0002-2070-5580","0000-0001-5978-9155"],"organisation":["Northumbria University","Laboratory of Space Geophysical and Oceanographic Studies (LEGOS)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5a1eaef4-9211-4227-a017-d20b08be5784","10.5285/5a1eaef4-9211-4227-a017-d20b08be5784","doi:10.5285/5a1eaef4-9211-4227-a017-d20b08be5784"],"resourceType":"Dataset","rightsHolder":["Northumbria University"],"ror":["https://ror.org/049e6bc1","https://ror.org/02chvqy57","https://ror.org/04xw4m193"],"shortenedDescription":"These data are digital elevation models which describe landscape topography. The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. The data were used as standalone…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":"High-resolution (2 metre) digital elevation models of landscape affected by the Chamoli ice-debris flow, India, February 2021","version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of Stirling","Durham University","Technical University of Dresden","Weihenstephan-Triesdorf University of Applied Sciences"],"authorFamilyName":["Morley","Donoghue","Van der Maaten-Theunissen","Zang","Jump"],"authorFullName":["Morley, P.","Donoghue, D.","Van der Maaten-Theunissen, M.","Zang, C.","Jump, A."],"authorGivenName":["P.","D.","M.","C.","A."],"authorOrcid":["0000-0002-7503-2520","0000-0002-9931-9083","0000-0002-2942-9180","0000-0002-9843-854X","0000-0002-2167-6451"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/01v29qb04","https://ror.org/042aqky30","https://ror.org/00gzkxz88"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises forest inventory (diameter at breast height, tree height, social class and relative crown distance) and tree canopy health data (extent of overall damage, discolouration and defoliation) collected in 2021 from sites within core protected areas of the UNESCO Rhӧn Biosphere Reserve dominated by European beech (Fagus sylvatica) forest. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable the analysis of individual tree and stand level characteristics that influence the response (canopy damage and defoliation) of European beech trees to extreme drought events. Field assessments of individual tree and stand canopy health were carried out within this project collecting data comprising canopy condition assessments and measurements of individual tree size and stand demography.  \n\nThe work was supported by the Natural Environment Research Council (Grant NE/V00929X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Morley","Donoghue","Van der Maaten-Theunissen","Zang","Jump"],"fullName":["Morley, P.","Donoghue, D.","Van der Maaten-Theunissen, M.","Zang, C.","Jump, A."],"funder":["Natural Environment Research Council"],"givenName":["P.","D.","M.","C.","A."],"grant":["NE/V00929X/1"],"identifier":"4df17a8f-9854-4b6e-8578-d99fbefb1352","incomingCitationCount":0,"keyword":["Germany","Canopy Condition","Extreme Drought","Forest Health"],"keywordsOther":["Canopy Condition","Extreme Drought","Forest Health"],"keywordsPlace":["Germany"],"licence":"Open government licence","lineage":"Forest inventory data were measured alongside canopy condition following protocol set out in the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests) Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests Part IV Visual Assessment of Crown Condition and Damaging Agents. The dataset provided here detailed the complete set of individual tree measurements as measured in the field for 38 sites using 10m fixed radius plots. ","locations":["POLYGON((9.706 50.115, 9.706 50.72, 10.448 50.72, 10.448 50.115, 9.706 50.115))"],"metadataDate":"2026-07-24T21:21:37.000Z","orcid":["0000-0002-7503-2520","0000-0002-9931-9083","0000-0002-2942-9180","0000-0002-9843-854X","0000-0002-2167-6451"],"organisation":["University of Stirling","Durham University","Technical University of Dresden","Weihenstephan-Triesdorf University of Applied Sciences","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4df17a8f-9854-4b6e-8578-d99fbefb1352","10.5285/4df17a8f-9854-4b6e-8578-d99fbefb1352","doi:10.5285/4df17a8f-9854-4b6e-8578-d99fbefb1352"],"resourceType":"Dataset","rightsHolder":["University of Stirling","Durham University"],"ror":["https://ror.org/045wgfr59","https://ror.org/01v29qb04","https://ror.org/042aqky30","https://ror.org/00gzkxz88","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises forest inventory (diameter at breast height, tree height, social class and relative crown distance) and tree canopy health data (extent of overall damage, discolouration and defoliation) collected in 2021 from sites within core protected areas…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Post-drought forest inventory and tree canopy health data, Rhӧn Biosphere Reserve, Germany, 2021","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Walker","Potter","Shore","Chaplow","Pereira"],"authorFullName":["Walker, L.A.","Potter, E.D.","Shore, R.F.","Chaplow, J.S.","Pereira, M.G."],"authorGivenName":["L.A.","E.D.","R.F.","J.S.","M.G."],"authorOrcid":["0000-0002-1471-7075","0000-0002-9337-8883","0000-0002-8058-8697"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains concentrations of Persistent Organic Pollutants (POPs) and mercury (Hg) in merlin and golden eagle egg contents collected as part of the Predatory Bird Monitoring Scheme (PBMS). In addition to residue data, for each record the year and region in which the egg was collected, and the egg shell index are recorded. The PBMS is a long-term, national monitoring scheme that quantifies the concentrations of contaminants in the livers and eggs of selected species of predatory and fish-eating birds in Britain. Levels of contaminants are monitored to determine variations between species and regions, changes over time and effects on individual birds and their populations. The Scheme is currently funded by CEH, Natural England, the Environment Agency (EA) and the Campaign for Responsible Rodenticide Use (CRRU).","documentType":"GEMINI_DOCUMENT","familyName":["Walker","Potter","Shore","Chaplow","Pereira"],"fullName":["Walker, L.A.","Potter, E.D.","Shore, R.F.","Chaplow, J.S.","Pereira, M.G.","Walker, L."],"givenName":["L.A.","E.D.","R.F.","J.S.","M.G.","Lee"],"identifier":"ad38a087-01a3-4865-b07c-a088ffb65916","incomingCitationCount":0,"keyword":["United Kingdom","Predatory Bird Monitoring Scheme (PBMS)","Pollution","Falco columbarius","Aquila chrysaetos"],"keywordsOther":["Falco columbarius","Aquila chrysaetos"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Predatory Bird Monitoring Scheme (PBMS)"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The PBMS monitors contaminant concentrations principally in liver tissues and in addled or deserted eggs. The choice of matrix depends on the likely site of toxicological significance for any particular compound and/or the species of bird monitored. For example, SGAR residues are measured in the liver because it is the target organ for these compounds (where they interfere with the production of clotting factors) and contains high-affinity binding sites to which SGARs bind. Conversely some contaminants are embryotoxins and monitoring residues of these compounds in eggs is therefore more appropriate. Furthermore, the populations of some species, such as golden eagle (Aquila chrysaetos) and merlin (Falco columbarius), are at low densities in Britain and it is not possible to collect sufficient carcasses each year to obtain a statistically robust sample for monitoring liver concentrations. However, it is possible to collect reasonably large numbers of failed eggs for these species. Thus, monitoring contaminant levels in eggs allows us to study the impacts of chemicals on these rarer species. The sampling of carcasses for the PBMS relies on members of the public who, in response to advertisements, collect and send in any dead predatory birds that they find.\n\nTaxidermists and wildlife rehabilitation centers also contribute significant numbers of specimens. However, only birds that have been freeliving prior to death, or at most have been in captivity for 7 days, are used by the PBMS. Volunteers submit the carcasses through the post using approved packaging (95kPa ADR [Road] compliant). Approximately 400 birds are submitted to the PBMS each year. Typically, the scheme receives most submissions in the autumn (September and October), and the early spring (February to April inclusive). Together, these five months account for approximately 60% of the birds submitted each year and predominantly consist of juveniles (birds that have hatched in the current or previous calendar year). This is reflected in the age ratio (juveniles to adults) of the whole sample which, over the last 10y, has been approximately 1.8 : 1, where adults are defined as individuals that have hatched before the previous calendar year. On receipt, the details of the bird are logged and the carcass is stored at -20°C until a macroscopic postmortem examination is carried out.\n\nThe postmortem examination is conducted to determine age, using the European Union for Bird Ringing (EURING) classification (11), sex, body weight, and putative cause of death. Commonly, the birds have died from road traffic accidents, other types of collision, or starvation (17.5%, 24.9%, and 30.5% of sample respectively); other causes each account for the deaths of no more than 10% of all birds received. Additional observations include an assessment of the amount of fat reserves in the body, moult score (primaries, secondaries, tail and body feathers) (12), and the presence of hemorrhaging in the body organs. Where possible, whole organs are excised, weighed, and various tissues (liver, brain, kidneys, pectoral muscle, subcutaneous fat) are archived in glass jars at -20°C.\n\nOnly individuals that are licensed by the relevant regulatory statutory body can collect bird eggs in the UK. Licensed collectors visit nests as part of other studies, predominantly ringing exercises, and send to the PBMS eggs that are known to be addled or deserted. On receipt, the length, breadth and weight of each egg and the weight of its contents are recorded together with information on date of collection and provenance. Each egg is cracked using a scalpel, the contents removed, an approximate degree of development assessed, and the contents are homogenized prior to archiving at -20 degrees Centigrade in glass jars. The egg shell is rinsed, left to dry for 4 weeks at ambient temperature, then weighed. An egg shell thickness index (3) is calculated as shell weight (mg)/length (mm) _ breadth (mm). \n\nAt present, the core monitoring program of the PBMS involves analyzing contaminant concentrations in a subsample of the archived liver and egg samples each year. The livers from a stratified sample of sparrowhawks received each year, the livers of all herons (Ardea cinerea), and the contents of one egg from each clutch of merlin, golden eagle, and white-tailed sea eagle (Haliaeetus albicilla) eggs that have been received each year are analyzed for PCBs (35 individual congeners, total PCBs and sum PCB Toxic Equivalencies, PCB-TEQs), OC insecticides, and mercury. Approximately 10 gannet (Morus bassanus) eggs, collected from colonies on Bass Rock (North Sea) and Ailsa Craig (Irish Sea) are also analyzed for the same contaminants. Gannet eggs are usually collected biennially from each colony. The livers of a stratified sample of barn owls, and the livers of all kestrels (Falco tinnunculus) and red kites (Milvus milvus) received each year are analyzed for four SGARs, difenacoum, bromadiolone, brodifacoum, and flocoumafen.\n\nAnalyses for all the compounds are carried out by the Centre for Ecology & Hydrology, for which the methods of determination are described elsewhere (13, 14). The results of the monitoring are published in annual reports and scientific papers (13-16) and on a dedicated webpage (17). The volunteer collectors are also sent a post mortem report (carcasses) or biometric data (egg) for each sample they submit and a summary of the contaminant levels for those samples that are analyzed chemically. This level of feedback to collectors is essential in maintaining a strong relationship between the PBMS and the volunteer base that supports it.\n\nThe PBMS frozen archive contains samples dating back to 1968. It consists of approximately 17 500 tissue samples from 6000 individual birds and 9000 egg contents; the majority (82%) of tissue samples are from 1980 onwards. This archive constitutes a valuable resource for a range of environmental toxicology studies and other conservation-orientated research work. The archive facilitates assessment of the exposure to and effects of chemicals in predatory birds that is wider in scope than the core PBMS activities (18, 19), and can be used for piloting and refining new monitoring (20). It also provides a resource for projects that aim to assess the impacts of a range of nonchemical threats. In the past, these have included illegal trading and hunting (21), and quantifying the fine scale genetic structure of golden eagle populations (22). \n\nReferences available by downloading Supporting Documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0002-1471-7075","0000-0002-9337-8883","0000-0002-8058-8697"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-06-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ad38a087-01a3-4865-b07c-a088ffb65916","10.5285/ad38a087-01a3-4865-b07c-a088ffb65916","doi:10.5285/ad38a087-01a3-4865-b07c-a088ffb65916"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains concentrations of Persistent Organic Pollutants (POPs) and mercury (Hg) in merlin and golden eagle egg contents collected as part of the Predatory Bird Monitoring Scheme (PBMS). In addition to residue data, for each record the year and region in…","state":"published","supplementalName":["PBMS website"],"temporalExtentText":"Data collected from 1963 to 2006","title":"Persistent organic pollutants and mercury in merlin and golden eagle eggs [PBMS]","topic":["0/Pollution/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Exeter","Plymouth Marine Laboratory","University of York","Galapagos Conservation Trust"],"authorFamilyName":["Flor","Osorio-Baquero","Pinheiro","Lindique","Praet","Zambrano","Galloway"],"authorFullName":["Flor, D.","Osorio-Baquero, A.","Pinheiro, L.M.","Lindique, P.K.","Praet, E.","Zambrano, R.","Galloway, T."],"authorGivenName":["Daniela","Andrea","Lara M","Penelope K.","Estelle","Ricardo","Tamara"],"authorOrcid":["0009-0005-3458-9276"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/05av9mn02","https://ror.org/04m01e293","https://ror.org/055gynz44"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents information on litter collected in 40 transects surveys conducted in rural, urban and protected areas on Santa Cruz island, Galápagos. Litter was collected between 8 and 18 July 2023 and data were subsequently analysed at the University of Exeter laboratory. Each transect survey covered an area of 200m2. \nThe dataset includes characteristics of the surveyed transects, location information, the number and weight of litter items collected by category and subcategory, data on human movement and the polymer type, colour and texture of litter. The data were collected to explore alternatives for reducing inland plastic waste through a circular economy approach. This work is part of a NERC funded project (NE/V005448/1), that aims to reduce plastic in the Galápagos Islands and the Eastern Pacific.","documentType":"GEMINI_DOCUMENT","familyName":["Flor","Osorio-Baquero","Pinheiro","Lindique","Praet","Zambrano","Galloway"],"fullName":["Flor, D.","Osorio-Baquero, A.","Pinheiro, L.M.","Lindique, P.K.","Praet, E.","Zambrano, R.","Galloway, T.","Daniela Flor"],"funder":["Natural Environment Research Council"],"givenName":["Daniela","Andrea","Lara M","Penelope K.","Estelle","Ricardo","Tamara"],"grant":["NE/V005448/1"],"identifier":"f7ae5395-8ed8-4046-acbd-4bdc699340e3","incomingCitationCount":0,"keyword":["Environmental survey","Litter","Plastic","Polymer","Transect","Waste"],"keywordsOther":["Litter","Plastic","Polymer","Transect","Waste"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Litter was collected in 40 transects selected randomly using the geoprocessing analysis tool \"create random points\" in ArgGIS Pro 3.0.1. Ten transects per population count categories  were selected (high, medium-high, medium and low derived from the LandScan dataset: https://landscan.ornl.gov/).  Transects consisted of a 100mx2m area, where all the visible litter was collected, classified, counted and weighted. \nThen the polymer identification was performed with two instruments:  Spectrum Two PerkinElmer Fourier transform infrared (FT-IR) spectrometer with an attenuated total reflection (ATR) (measuring in a wavelength range from 650 to 4000 to cm-1 and a resolution 4cm-1) and a portable plastic identification device (PlasTell NIR plastics scanner, desktop version, Matoha Instrumentation Ltd.) equipped with a transmittance-reflectance NIR spectroscopy, 1550-1950 nm - 2NIR lamps built-in. \nHuman movement was recorded using Pyro Evo sensors, which are passive infrared sensors. These sensors were place in a fixed point in the transect surveys for 19 hours.\nData were initially recorded in field notebooks and subsequently digitized into an Excel database, where they were reviewed and standardized.","locations":["POLYGON((-90.603 -0.834, -90.603 -0.406, -90.12 -0.406, -90.12 -0.834, -90.603 -0.834))"],"metadataDate":"2026-07-25T18:09:01.000Z","orcid":["0009-0005-3458-9276"],"organisation":["University of Exeter","Plymouth Marine Laboratory","University of York","Galapagos Conservation Trust","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7ae5395-8ed8-4046-acbd-4bdc699340e3","10.5285/f7ae5395-8ed8-4046-acbd-4bdc699340e3","doi:10.5285/f7ae5395-8ed8-4046-acbd-4bdc699340e3"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/05av9mn02","https://ror.org/04m01e293","https://ror.org/055gynz44","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents information on litter collected in 40 transects surveys conducted in rural, urban and protected areas on Santa Cruz island, Galápagos. Litter was collected between 8 and 18 July 2023 and data were subsequently analysed at the University of Exeter…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Plastic litter data collected in transect surveys in Santa Cruz Island, Galápagos, 2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","shar1"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}