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Scots pine is the UK’s only native conifer that is used commercially and is the most common tree in the UK’s native Caledonian pine woods.  In total 1589 species are listed in the database. For each species a level of association with Scots pine is provided, ranging from obligate (only found on Scots pine) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each Scots pine associated species were collated: part of tree used, and use made of tree (feeding, roosting, breeding). Data on use or otherwise of 34 other tree species were also collated for each of the 1589 species.  ","documentType":"GEMINI_DOCUMENT","familyName":["Mitchell","Albon","Bellamy","Ellis","Hodgetts","Johnstone","Stockan","Taylor"],"fullName":["Mitchell, R.J.","Albon, S.D.","Bellamy, P.E.","Ellis, C.J.","Hodgetts, N.G.","Johnstone, C.","Stockan, J.A.","Taylor, A.F.S."],"funder":["Natural Environment Research Council"],"givenName":["R.J.","S.D.","P.E.","C.J.","N.G.","C.","J.A.","A.F.S."],"grant":["NE/X004449/1"],"identifier":"97f8c19b-7451-4809-b011-0f9cf3eb8430","incomingCitationCount":0,"keyword":["UK","Biodiversity"],"keywordsPlace":["UK"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Existing data sources were collated during 2023/24, in order to identify as comprehensively as possible those species that use Scots Pine, Pinus sylvestris (Scots pine-associated species) and the nature of this association in the UK. The data sources included quality controlled databases of records of species, peer reviewed literature, published books and grey literature. A complete list of data sources used is provided together with an assessment of the quality of that data: peer reviewed or quality controlled dataset versus grey literature and whether the data are from the UK or not. Information on the species ecology and their use of 34 other tree species was also collated. The data were collated in a pre-defined standard format to enable consistency across taxa.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:12:14.000Z","orcid":["https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0002-0811-1333","https://orcid.org/0000-0003-2234-2119","https://orcid.org/0000-0003-1916-8746","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-0727-8171"],"organisation":["James Hutton Institute","2RSPB Centre for Conservation Science","Royal Botanic Garden Edinburgh","Bryophyte Consultant","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-01-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/97f8c19b-7451-4809-b011-0f9cf3eb8430","10.5285/97f8c19b-7451-4809-b011-0f9cf3eb8430","doi:10.5285/97f8c19b-7451-4809-b011-0f9cf3eb8430"],"resourceType":"Dataset","rightsHolder":["James Hutton Institute"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This is a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Scots Pine (Pinus sylvestris) in the UK. Scots pine is the UK’s only native conifer that is used commercially and is the most common tree in the UK’s native Caledonian…","state":"published","title":"Scots pine-associated biodiversity in the UK (Scots pine Ecol)","topic":["0/Biodiversity/"],"version":1.0,"view":["public","tinzha"]},{"altTitle":["IHU Areas without Coastline"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Kral","Fry","Dixon"],"authorFullName":["Kral, F.","Fry, M.","Dixon, H."],"authorGivenName":["F.","M.","H."],"authorOrcid":["https://orcid.org/0000-0002-7415-063X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Hydrometric Areas are either integral river catchments having one or more outlets to the sea or tidal estuary, or they may include several contiguous river catchments having topographical similarity but separate tidal outlets. Hydrometric Areas are the coarsest units of the IHU in terms of spatial resolution. This dataset represents the same entities as the Hydrometric Areas with Coastline. The coastline of Hydrometric Areas without Coastline follows the boundaries of the CEH Integrated Hydrological Digital Terrain Model, from which IHU were derived, while the coastline used in Hydrometric Areas with Coastline was derived from Ordnance Survey data. The Hydrometric Areas without Coastline currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Kral","Dixon"],"fullName":["Fry, M.","Kral, F.","Dixon, H."],"givenName":["Matt","F.","M.","H."],"identifier":"3a4e94fc-4c68-47eb-a217-adee2a6b02b3","incomingCitationCount":1,"keyword":["United Kingdom","Great Britain","England","Wales","Scotland","Hydrology","hydrology","watershed","catchment"],"keywordsOther":["hydrology","watershed","catchment"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The main inputs for development of Integrated Hydrological Units (IHU) of the UK were data held by the Centre for Ecology & Hydrology. Specifically, the cumulative catchment area raster and outflow raster from the Integrated Hydrological Digital Terrain Model (IHDTM) [1]. The vast majority of the watercourse names come from the subset of CEH UK river centreline network enriched by names from Ordnance Survey 1:50K Gazetteer [2]. Some names were obtained from or verified using other readily available sources like OpenStreetMap (openstreetmap.org) and WikiPedia (wikipedia.org). Bespoke FORTRAN functions, part of the CEH Flood Estimation Handbook code set, were used for catchment delineation. These functions enable sensible interlocking catchments boundaries to be created for the whole IHDTM surface. The option that does not leave gaps between catchments was specified [1]. Except for the catchment delineation, ArcGIS was used as the main GIS platform. Custom Python code was developed to drive the whole process and to perform hierarchical and network tasks. The full name of each IHU Section was derived from three rivers defining the section: the largest (in terms of cumulative catchment area) inflowing river other than the main river in the Section, the main river in the Section, and the largest river flowing into the downstream Section. If no such inflows exist, words'Source', 'Sea', or the name of the main river in the downstream Section are used as appropriate. A similar approach was adopted for IHU Group names, although group names were edited manually to a great extent to ensure they are simple and readily understood. \n\n[1] Morris, D.G. and Flavin, R.W. 1990. A Digital Terrain Model for Hydrology. Proc 4th Int. Symposium on Spatial Data Handling. Zurich, 1, 250-262.\n\n[2] Moore R V, Morris D G and Flavin R W, 1994. Sub-set of UK digital 1:50,000 scale river centreline network. NERC, Institute of Hydrology, Wallingford.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:50:10.000Z","orcid":["https://orcid.org/0000-0002-7415-063X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1425380947383","CEH:EIDC::1425380947383","https://catalogue.ceh.ac.uk/id/3a4e94fc-4c68-47eb-a217-adee2a6b02b3","10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3","doi:10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Hydrometric Areas are either integral river catchments having one…","state":"published","supplementalDescription":["National River Flow Archive website providing access to river flow data downloads as well as contact information for the NRFA enquirers service which provides other datasets and monthly, annual and occasional reports on river flow conditions."],"supplementalName":["National River Flow Archive website"],"title":"Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Plymouth","University of Salford","University of Twente","University of Manchester"],"authorFamilyName":["Sgarabotto","Majtan","Manzella","Raby","Rogers","Fourtakas"],"authorFullName":["Sgarabotto, A.","Majtan, E.","Manzella, I.","Raby, A.","Rogers, B.D.","Fourtakas, G."],"authorGivenName":["A.","E.","I.","B.D.","G."],"authorOrcid":["https://orcid.org/0000-0002-4740-784X","https://orcid.org/0000-0002-5623-3263","https://orcid.org/0000-0001-7518-819X","https://orcid.org/0000-0002-8959-0080","https://orcid.org/0000-0002-3269-7979","https://orcid.org/0000-0001-8584-3020"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/01tmqtf75","https://ror.org/006hf6230","https://ror.org/027m9bs27"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","xml","Visualisation Toolkit (VTK)"],"description":"This dataset contains outputs from the numerical simulations of a single cylindrical woody debris being released in a flume (0.6  m wide and 6.0 m long) with a flow depth of 0.208 m and travelling downstream. The outputs include: position, orientation, linear velocity and acceleration, and angular velocity and acceleration. The simulations were carried out by using DualSPHysics, an open source SPH-based modelling framework. Four flow conditions and three different initial orientations (0, -5 and +5 deg) were simulated. ","documentType":"GEMINI_DOCUMENT","familyName":["Sgarabotto","Majtan","Manzella","Raby","Rogers","Fourtakas"],"fullName":["Sgarabotto, A.","Majtan, E.","Manzella, I.","Raby, A.","Rogers, B.D.","Fourtakas, G."],"funder":["Natural Environment Research Council"],"givenName":["A.","E.","I.","B.D.","G."],"grant":["NE/V003402/1"],"identifier":"2221837a-98b9-4802-9e10-72b6e9c84136","incomingCitationCount":0,"keyword":["woody debris","SPH","DualSPHysics","flume simulations","woody debris transport"],"keywordsOther":["woody debris","SPH","DualSPHysics","flume simulations","woody debris transport"],"licence":"Open government licence","lineage":"The simulations were carried out using DualSPHysics, an open source SPH-based modelling framework. Four flow conditions with an initial particle diameter equal to 0.008 m were simulated. For each flow condition, three different initial orientations of the woody debris (0, -5 and +5 deg) were tested. The .xml files are the input for the DualSPHysics numerical simulations, they contain all the information needed to set up the simulations and were generated following the guidance provided with DualSPHysics. All the elements needed to define the simulation, namely fluid domain geometry, solid boundaries, and buffer zones for inlet/outlet are described in .vtk files which can be read by Paraview. The motion of the woody debris at each time step is contained in an output CSV file. Further details are provided in the ReadMe.docx.","metadataDate":"2026-06-29T16:39:22.000Z","orcid":["https://orcid.org/0000-0002-4740-784X","https://orcid.org/0000-0002-5623-3263","https://orcid.org/0000-0001-7518-819X","https://orcid.org/0000-0002-8959-0080","https://orcid.org/0000-0002-3269-7979","https://orcid.org/0000-0001-8584-3020"],"organisation":["University of Plymouth","University of Salford","University of Twente","University of Manchester","University of Exeter","University of East Anglia","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2221837a-98b9-4802-9e10-72b6e9c84136","10.5285/2221837a-98b9-4802-9e10-72b6e9c84136","doi:10.5285/2221837a-98b9-4802-9e10-72b6e9c84136"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Plymouth","University of Salford","University of Manchester","University of Exeter","University of East Anglia"],"ror":["https://ror.org/008n7pv89","https://ror.org/01tmqtf75","https://ror.org/006hf6230","https://ror.org/027m9bs27","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains outputs from the numerical simulations of a single cylindrical woody debris being released in a flume (0.6  m wide and 6.0 m long) with a flow depth of 0.208 m and travelling downstream. The outputs include: position, orientation, linear velocity…","state":"published","title":"Simulated motion of cylindrical woody debris travelling along a straight flume using the DualSPHysics modelling framework","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Robinson","Kay","Brown","Lane","Bell","Blyth"],"authorFullName":["Robinson, E.L.","Kay, A.L.","Brown, M.J.","Lane, R.A.","Bell, V.A.","Blyth, E.M."],"authorGivenName":["E.L.","A.L.","M.J.","R.A.","V.A.","E.M."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables were calculated from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] gridded observed meteorological data at 1 km resolution.  The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded NetCDF files. There is one file for each variable, for each calendar month.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Kay","Brown","Lane","Bell","Blyth"],"fullName":["Robinson, E.L.","Kay, A.L.","Brown, M.J.","Lane, R.A.","Bell, V.A.","Blyth, E.M.","Robinson, E."],"funder":["Natural Environment Research Council"],"givenName":["E.L.","A.L.","M.J.","R.A.","V.A.","E.M.","Emma"],"grant":["NE/S017380/1"],"identifier":"bcec9c33-f863-464e-ac28-73b981bd40a4","incomingCitationCount":0,"keyword":["Climate Hydrology and Ecology Research Support System (CHESS)","Hydrology","hydrology","modelling","evapotranspiration","evaporation","potential evaporation","potential evaptranspiration"],"keywordsOther":["hydrology","modelling","evapotranspiration","evaporation","potential evaporation","potential evaptranspiration"],"keywordsProject":["Climate Hydrology and Ecology Research Support System (CHESS)"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"This dataset was derived from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] at 1 km resolution over the United Kingdom for the years 1961-2019. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation. \n\nThe CHESS-met meteorological variables used were daily mean air temperature at 1.2 m (K), specific humidity at 1.2 m(kg kg-1), surface air pressure (Pa), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), monthly mean wind speed at 10 m (m s-1) and precipitation (kg m-2 s-1). A description of the methodology is available in the 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":"2026-06-29T18:23:45.000Z","orcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bcec9c33-f863-464e-ac28-73b981bd40a4","10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4","doi:10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables…","state":"published","title":"Potential evapotranspiration derived from Climate Hydrology and Ecology Research Support System meteorological gridded climate observations (Hydro-PE CHESS), 1961-2019","topic":["0/Hydrology/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh","Universidad Politécnica de Madrid","Bangor University","University of Montana","Lancaster University"],"authorFamilyName":["Mason","Oakley","Street","Arróniz-Crespo","Jones","DeLuca","Ostle"],"authorFullName":["Mason, K.E.","Oakley, S.","Street, L.E.","Arróniz-Crespo, M.","Jones, D.L.","DeLuca, T.H.","Ostle, N.J."],"authorGivenName":["K.E.","S.","L.E.","M.","D.L.","T.H.","N.J."],"authorOrcid":["https://orcid.org/0000-0003-3426-3178","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/03n6nwv02","https://ror.org/006jb1a24","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus, carbon and nitrogen, plant species cover, air temperature, soil temperature, soil moisture and surface leaf moisture. Greenhouse gas measurements were taken in the field. Soil cores were collected, then processed and analysed in the laboratory. Plant species cover was by visual estimate and final plant biomass was collected, dried, and weighed.  Weather stations were used to collect temperature and moisture data.\n\nData were collected from six Swedish boreal forest sites forming a chronosequence ranging in age from approximately 45 to 365 years since last wildfire. This part of the project used soil and plant property data, climatic data, and age since wildfire to investigate controls on forest floor greenhouse gas fluxes. The project ran from 2012 to 2015.","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Oakley","Street","Arróniz-Crespo","Jones","DeLuca","Ostle"],"fullName":["Mason, K.","Mason, K.E.","Oakley, S.","Street, L.E.","Arróniz-Crespo, M.","Jones, D.L.","DeLuca, T.H.","Ostle, N.J."],"givenName":["Kelly","K.E.","S.","L.E.","M.","D.L.","T.H.","N.J."],"identifier":"f08a5de5-55d4-44de-90e1-94bb4f814054","incomingCitationCount":0,"keyword":["Sweden","Soil","boreal forest","wild fires"],"keywordsOther":["boreal forest","wild fires"],"keywordsPlace":["Sweden"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Field data was collected in June and September 2012, June 2013, and July 2014.  Greenhouse gas fluxes were measured using infrared gas analysers (PP Systems EGM4) for CO2 and manual samples from static chambers for CH4 and N2O, which were analysed on a gas chromatogram (PerkinElmer Autosystem XL).  Data were quality controlled by plotting all data points and removing any points showing signs of the system not being settled or properly sealed.  Calibration standards were used for both systems.  At the time of sampling, measures of air temperature and photosynthetically active radiation were taken using a temperature probe (TinyTag) and PAR Quantum Sensor (Skye Instruments), respectively.\n\nSoil cores were collected either along a transect or from within the gas collars.  Cores were PVC pipes of 5 cm diameter and 10 cm length.  Manual processing (including oven-drying of samples) gave values for soil horizon depths, bulk density, and loss on ignition.  pH was determined by mixing 10 g fresh soil in 25 mL deionized water and measuring using a pH probe (Hanna Instruments).  Total phosphorous was obtained using a digestion method with analysis on a SEAL AutoAnalyser3 (Seal Analytical).  Total C:N was obtained by analysing samples on a Truspec C:N analyser (LECO Corp.).  Instruments were run with calibrated standards.\n\nEstimates of cover by individual plant species were made visually and photos were used for quality control.  Plant material was collected from within the gas collars, dried at 60ºC, and weighed for total biomass.\n\nAir temperature, soil temperature at 1 cm and 5 cm depth, soil moisture, and surface leaf moisture were measured using weather stations (Decagon Devices).  Data was plotted to quality control for errors caused by dead batteries, snow cover, etc.","locations":["POLYGON((17.505 65.416, 17.505 66.108, 19.67 66.108, 19.67 65.416, 17.505 65.416))"],"metadataDate":"2026-06-29T16:39:00.000Z","orcid":["https://orcid.org/0000-0003-3426-3178","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0003-3263-3702"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Edinburgh","Universidad Politécnica de Madrid","Bangor University","University of Montana","Lancaster University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-03-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f08a5de5-55d4-44de-90e1-94bb4f814054","10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054","doi:10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/03n6nwv02","https://ror.org/006jb1a24","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus,…","state":"published","title":"Boreal forest floor greenhouse gas emissions across a wildfire-disturbed chronosequence","topic":["0/Soil/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Robinson","Kay","Brown","Chapman","Bell","Blyth"],"authorFullName":["Robinson, E.L.","Kay, A.L.","Brown, M.","Chapman, R.","Bell, V.A.","Blyth, E.M."],"authorGivenName":["E.L.","A.L.","M.","R.","V.A.","E.M."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0002-3842-1420","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded potential evapotranspiration calculated from United Kingdom Climate Projections 2018 (UKCP18) regional climate model (RCM) ensemble at 12 km resolution over the United Kingdom for the years 1980-2080 under the Representative Concentration Pathway 8.5 (RCP8.5) scenario. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). PET and PETI were calculated for each member of the UKCP18 RCM perturbed parameter ensemble. The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each ensemble member, for each decade.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Kay","Brown","Chapman","Bell","Blyth"],"fullName":["Robinson, E.","Robinson, E.L.","Kay, A.L.","Brown, M.","Chapman, R.","Bell, V.A.","Blyth, E.M."],"givenName":["Emma","E.L.","A.L.","M.","R.","V.A.","E.M."],"identifier":"eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","incomingCitationCount":8,"keyword":["Climate and climate change","Hydrology","Modelling","Potential evaporation","Potential evapotranspiration","evaporation","evapotranspiration"],"keywordsOther":["Potential evaporation","Potential evapotranspiration","evaporation","evapotranspiration"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"licence":"Open government licence","lineage":"This dataset was derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional Projections on a 12km grid over the UK for 1980-2080 (https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604, v20190731, v20190731), which is a twelve member perturbed parameter ensemble of climate model projections for representative concentration pathway (RCP) scenario RCP8.5. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation. The UKCP18 meteorological variables used were daily mean values of: specific humidity at 1.5 m (kg kg-1); sea level pressure (hPa); net surface long wave flux (W m-2); net surface short wave flux (W m-2); wind speed at 10 m (m s-1); air temperature at 1.5 m (degC); precipitation (mm d-1; used for PETI only). Other variables used were the surface elevation (m; https://data.ceda.ac.uk/badc/ukcp18/data/land-rcm/ancil/orog), atmospheric CO2 concentrations (ppmv), and land-sea mask that were used when running the climate model. A description of the methodology is available in the 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":"2026-06-29T16:23:51.000Z","orcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0002-3842-1420","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","doi:10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded potential evapotranspiration calculated from United Kingdom Climate Projections 2018 (UKCP18) regional climate model (RCM) ensemble at 12 km resolution over the United Kingdom for the years 1980-2080 under the Representative Concentration Pathway 8.5 (RCP8.5)…","state":"published","supplementalName":["UKCP18 Regional Projections on a 12km grid over the UK for 1980-2080"],"title":"Potential evapotranspiration derived from the UK Climate Projections 2018 Regional Climate Model ensemble 1980-2080 (Hydro-PE UKCP18 RCM)","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Liverpool ","UK Centre for Ecology & Hydrology","University of Liverpool"],"authorFamilyName":["Dunn","Daunt","Wanless","Harris","Green"],"authorFullName":["Dunn, R.E.","Daunt, F.","Wanless, S.","Harris, M.P.","Green, J.A."],"authorGivenName":["R.E.","F.","S.","M.P.","J.A."],"authorOrcid":["https://orcid.org/0000-0003-0927-2734","https://orcid.org/0000-0003-4638-3388","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0001-8692-0163"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains activity data from thirteen common guillemots (Uria aalge) from the Isle of May during the 2005-2006 annual cycle. These biologging data were collected using global location sensing (GLS) time depth recorder (TDR) devices. From these data we derived daily data on guillemot activity budgets, sea surface temperature values, energy expenditure, location fixes and the proportion of dive activity that occurred during day, twilight and night.\n\nData on colony attendance were also collected using daily time-lapse photography.","documentType":"GEMINI_DOCUMENT","familyName":["Dunn","Daunt","Wanless","Harris","Green"],"fullName":["Dunn, R.E.","Daunt, F.","Wanless, S.","Harris, M.P.","Green, J.A.","Dunn, R."],"givenName":["R.E.","F.","S.","M.P.","J.A.","Ruth"],"identifier":"bd24da1f-0761-4564-8dd8-dfd71a559a71","incomingCitationCount":1,"keyword":["Isle of May","Environmental survey","Uria aalge"],"keywordsOther":["Uria aalge"],"keywordsPlace":["Isle of May"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data have been collected by Centre for Ecology & Hydrology (CEH) staff on the May National Nature Reserve, Scotland (56 deg 11' N, 02 deg 33' W) using standardised methods since 1987, and this work has continued to the present as part of the Isle of May Long-term Study (IMLOTS; https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study ).\n\nAs part of this long-term study, data on year-round guillemot activity was collected as part of a biologging project part-funded by the Royal Society for the Prevention of Cruelty to Animals. Biologging data were collected using global location sensing (GLS) time depth recorder (TDR) devices during 2005-2006. From these data we derived guillemot activity budgets (hours spent diving, flying, at the colony, active on water and inactive on water), sea surface temperature values (SST; recorded by the bird-borne loggers), energy expenditure, location fixes and the proportion of dive activity that occurred during day, twilight and night. Year-round colony attendance was also recorded using time-lapse photography. The full methodology is available in the Supporting Information document attached to this record.","locations":["POLYGON((-2.5 56.1, -2.5 56.5, -2.35 56.5, -2.35 56.1, -2.5 56.1))"],"metadataDate":"2026-06-29T16:29:18.000Z","orcid":["https://orcid.org/0000-0003-0927-2734","https://orcid.org/0000-0003-4638-3388","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0001-8692-0163"],"organisation":["University of Liverpool ","UK Centre for Ecology & Hydrology","University of Liverpool","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bd24da1f-0761-4564-8dd8-dfd71a559a71","10.5285/bd24da1f-0761-4564-8dd8-dfd71a559a71","doi:10.5285/bd24da1f-0761-4564-8dd8-dfd71a559a71"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains activity data from thirteen common guillemots (Uria aalge) from the Isle of May during the 2005-2006 annual cycle. These biologging data were collected using global location sensing (GLS) time depth recorder (TDR) devices. From these data we derived…","state":"published","title":"Activity data from common guillemots from the Isle of May during the 2005-2006 annual cycle","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Sheffield","Embrapa - Rice & Bean","Embrapa - Instrumentation","Federal University of ABC"],"authorFamilyName":["Stowell","Soler-Silva","Madari","Torre-Neto","Kamienski"],"authorFullName":["Stowell, P.","Soler-Silva, M.","Madari, B.","Torre-Neto, A.","Kamienski, C."],"authorGivenName":["P.","M.","B.","A.","C. "],"authorOrcid":["https://orcid.org/0000-0002-6930-0509","https://orcid.org/0000-0003-1043-0592","https://orcid.org/0000-0002-6242-6619","https://orcid.org/0000-0001-6475-1469","https://orcid.org/0000-0002-3087-9234"],"authorRor":["https://ror.org/05krs5044","https://ror.org/0482b5b22","https://ror.org/028kg9j04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily soil moisture estimates measured using prototype cosmic ray neutron sensors. The sensors were deployed in a rain-fed site in the state of Goias, Brazil. Volumetric water containment measurements were taken hourly between August and December, 2023. These were combined into daily averages after correcting for environmental effects in the sensor readings.\n\nThis dataset was created to study the potential for using distributed cosmic ray sensors to support data driven irrigation optimisation, supported by NERC (NE/W004364/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Stowell","Soler-Silva","Madari","Torre-Neto","Kamienski"],"fullName":["Stowell, P.","Soler-Silva, M.","Madari, B.","Torre-Neto, A.","Kamienski, C."],"funder":["Natural Environment Research Council","FAPESP"],"givenName":["P.","M.","B.","A.","C. "],"grant":["NE/W004364/1"],"identifier":"36df3345-277d-4efa-9b98-9140dbea5c4f","incomingCitationCount":0,"keyword":["Agriculture","cosmic-ray sensor","soil moisture","time series","hydrology"],"keywordsOther":["cosmic-ray sensor","soil moisture","time series","hydrology"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Soil moisture data collected on a prototype FiWare sensing platform. Corrections for background cosmic ray variations, air humidity and temperature were applied using weather station data from a co-deployed environmental monitoring station before being averaged over each day.","locations":["POLYGON((-49.298 -16.5, -49.298 -16.495, -49.293 -16.495, -49.293 -16.5, -49.298 -16.5))"],"metadataDate":"2026-06-29T18:17:18.000Z","orcid":["https://orcid.org/0000-0002-6930-0509","https://orcid.org/0000-0003-1043-0592","https://orcid.org/0000-0002-6242-6619","https://orcid.org/0000-0001-6475-1469","https://orcid.org/0000-0002-3087-9234"],"organisation":["University of Sheffield","Embrapa - Rice & Bean","Embrapa - Instrumentation","Federal University of ABC","NERC EDS Environmental Information Data Centre","Durham University"],"publicationDate":"2025-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/36df3345-277d-4efa-9b98-9140dbea5c4f","10.5285/36df3345-277d-4efa-9b98-9140dbea5c4f","doi:10.5285/36df3345-277d-4efa-9b98-9140dbea5c4f"],"resourceType":"Dataset","rightsHolder":["Durham University"],"ror":["https://ror.org/05krs5044","https://ror.org/0482b5b22","https://ror.org/028kg9j04","https://ror.org/04xw4m193","https://ror.org/01v29qb04"],"shortenedDescription":"This dataset contains daily soil moisture estimates measured using prototype cosmic ray neutron sensors. The sensors were deployed in a rain-fed site in the state of Goias, Brazil. Volumetric water containment measurements were taken hourly between August and December,…","state":"published","title":"Soil moisture data obtained from prototype neutron probes at a rain-fed field site, Goias state, Brazil, 2023","topic":["0/Agriculture/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Parker","Lewis","Galloway"],"authorFullName":["Parker, B.","Lewis, C.","Galloway, T."],"authorGivenName":["Ben","Ceri","Tamara"],"authorOrcid":["https://orcid.org/0000-0001-6731-7852","https://orcid.org/0000-0002-3564-2906","https://orcid.org/0000-0002-7466-6775"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The resource includes data extracted from published laboratory studies investigating the impacts of microfibres (fibres < 5 mm in size) on various traits within aquatic organisms. Data were accessible on 19/06/2024 and represent studies from 2015 to 2024.\nThe dataset includes measured responses in a range of aquatic organisms after microfibre exposure. Measures correspond to the following defined traits: \n1.\tDevelopment-Healthy molting and growth of organs and structures. \n2.\tFecundity-Number of offspring and quality of gametes.\n3.\tFeeding-Intake, handling and egestion of resources.\n4.\tGrowth-Change in organism weight, length or derived measures.\n5.\tHatching\t-Number, emergence time and morphology of offspring.\n6.\tNon-apical endpoints-Indices and measures of general organism wellbeing.\n7.\tSurvival-Organisms alive at a particular time point.\n\nThis dataset was created to collate microfibre study findings for meta-analyses and also to identify gaps within the literature. This work was supported by NERC (NE/Y003985/1) as part of the Future Fibres Networking Grant.\n\nThis dataset is a corrected version of https://doi.org/10.5285/e4d566bf-b571-460e-816e-0efa1ab3335a ","documentType":"GEMINI_DOCUMENT","familyName":["Parker","Lewis","Galloway"],"fullName":["Ben Parker","Parker, B.","Lewis, C.","Galloway, T."],"funder":["Natural Environment Research Council"],"givenName":["Ben","Ceri","Tamara"],"grant":["NE/Y003985/1"],"identifier":"8b7fcc6c-ac73-4f28-b82f-ea818b064915","incomingCitationCount":0,"keyword":["Pollution","Aquatic","Ecotoxicology","Fibres","Meta-analysis","Sustainability","Textiles"],"keywordsOther":["Aquatic","Ecotoxicology","Fibres","Meta-analysis","Pollution","Sustainability","Textiles"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The dataset was generated from an initial Web of Science database search of studies investigating the exposure impacts of microfibres (small fibres < 5 mm in size) on the responses of aquatic organisms. Web of Science results were evaluated and then the citing and cited studies from these results also screened. Finally, the compiled results were then assessed for eligibility as detailed in the supporting information and only eligible responses extracted. QA steps were used to exclude a number of studies and responses as outlined in the resource supporting information.\n\nThis dataset is a corrected version of https://doi.org/10.5285/e4d566bf-b571-460e-816e-0efa1ab3335a which had several incorrectly calculated standard exposures and consequently incorrect assignment to standard exposure categories. This new version includes details on how these standard exposures were calculated as well as including more details on the assignment of several categories. Finally, \"Health\" endpoints are now referred to as \"non-apical endpoints\".","metadataDate":"2026-06-29T18:16:24.000Z","orcid":["https://orcid.org/0000-0001-6731-7852","https://orcid.org/0000-0002-3564-2906","https://orcid.org/0000-0002-7466-6775"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b7fcc6c-ac73-4f28-b82f-ea818b064915","10.5285/8b7fcc6c-ac73-4f28-b82f-ea818b064915","doi:10.5285/8b7fcc6c-ac73-4f28-b82f-ea818b064915"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The resource includes data extracted from published laboratory studies investigating the impacts of microfibres (fibres < 5 mm in size) on various traits within aquatic organisms. Data were accessible on 19/06/2024 and represent studies from 2015 to 2024.\nThe dataset…","state":"published","supplementalDescription":["Ben Parker, Ceri N Lewis, Tamara S Galloway, Impacts of non-petroleum and petroleum-based microfibres on aquatic organisms: ameta-analysis, Environmental Toxicology and Chemistry, 2025; vgaf113."],"title":"Trait responses of aquatic organisms from microfibre exposure studies published 2015-2024 v2","topic":["0/Pollution/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Leeds","UK Centre for Ecology & Hydrology","Rothamsted Research"],"authorFamilyName":["Lloyd","Grayson","Morrison","Galdos","Chapman"],"authorFullName":["Lloyd, I.L.","Grayson, R.P.","Morrison, R.","Galdos, M.V.","Chapman, P.J."],"authorGivenName":["I.L.","R.P.","R.","M.V.","P.J."],"authorOrcid":["https://orcid.org/0000-0003-2518-6916","https://orcid.org/0000-0003-3637-3987","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-6080-0726","https://orcid.org/0000-0003-0438-6855"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/00pggkr55","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset includes 30-minute observations of land-atmosphere exchange of net ecosystem carbon dioxide exchange and sensible and latent heat measured over two years in a cut and grazed pasture in Yorkshire, UK. Fluxes were measured using the eddy covariance method.","documentType":"GEMINI_DOCUMENT","familyName":["Lloyd","Grayson","Morrison","Galdos","Chapman"],"fullName":["Lloyd, I.L.","Grayson, R.P.","Morrison, R.","Galdos, M.V.","Chapman, P.J."],"funder":["Natural Environment Research Council"],"givenName":["I.L.","R.P.","R.","M.V.","P.J."],"grant":["NE/S007458/1"],"identifier":"c94b7b70-ab7e-4415-9b99-7f4a10e97c1c","incomingCitationCount":0,"keyword":["pasture","eddy covariance","cutting","grass","grazing","net ecosystem exchange"],"keywordsOther":["pasture","eddy covariance","cutting","grass","grazing","net ecosystem exchange"],"licence":"Open government licence","lineage":"Fluxes of net ecosystem carbon dioxide exchange, sensible heat, latent heat, atmospheric turbulence and sonic temperature were measured and averaged into 30-minute observations using a LI-COR LI-7200RS enclosed infrared CO2/H2O gas analyser and Gill Windmaster three-dimensional sonic anemometer. Energy fluxes were measured with an Apogee SN-500 net radiometer. Air temperature and relative humidity were measured using a Vaisala HMP155 temperature and humidity probe. Soil temperature and moisture were measured using a METER TEROS 11 temperature and moisture probe.\n\nData was logged with a Campbell Scientific CR1000X datalogger.\n\nFluxes were calculated using EddyPro7 V7.0.6 software.\n\nOutliers were removed and gap-filling was done according to a standardized workflow. See the supporting information for more details.\n","locations":["POLYGON((-2.45 53.321, -2.45 54.674, 0.143 54.674, 0.143 53.321, -2.45 53.321))"],"metadataDate":"2026-06-29T16:18:09.000Z","orcid":["https://orcid.org/0000-0003-2518-6916","https://orcid.org/0000-0003-3637-3987","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-6080-0726","https://orcid.org/0000-0003-0438-6855"],"organisation":["University of Leeds","UK Centre for Ecology & Hydrology","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c94b7b70-ab7e-4415-9b99-7f4a10e97c1c","10.5285/c94b7b70-ab7e-4415-9b99-7f4a10e97c1c","doi:10.5285/c94b7b70-ab7e-4415-9b99-7f4a10e97c1c"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset includes 30-minute observations of land-atmosphere exchange of net ecosystem carbon dioxide exchange and sensible and latent heat measured over two years in a cut and grazed pasture in Yorkshire, UK. Fluxes were measured using the eddy covariance method…","state":"published","title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a pasture, Yorkshire, UK, 2021-2023","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Southampton","North East Interdisciplinary Research Institute","University of Washington","University of Cologne","Vinogradov Institute of Geochemistry","Institute for Monitoring Climatic and Ecological Systems","Institute of Botany of the Czech Academy of Sciences","Sobolev Institute of Geology and Mineralogy","Novosibirsk State University","UCLA","Lomonosov Moscow State University","Institute of Problems of Development of the North","University College London","National Academy of Sciences of Belarus"],"authorFamilyName":["Binney","Lozhkin","Anderson","Andreev","Bezrukova","Blyakharchuk","Jankovska","Khazhina","Krivonogov","Kremenetski","Novenko","Ryabogina","Solovieva","Zernitzkaya"],"authorFullName":["Binney, H.A.","Lozhkin, A.","Anderson, P.","Andreev, A.","Bezrukova, E.","Blyakharchuk, T.","Jankovska, V.","Khazhina, I.","Krivonogov, S.","Kremenetski, K.","Novenko, E.","Ryabogina, N.","Solovieva, N.","Zernitzkaya, V."],"authorGivenName":["H.A.","A.","P","E.","T.","V.","I.","S.","K.","N."],"authorRor":["https://ror.org/01ryk1543","https://ror.org/00cvxb145","https://ror.org/00rcxh774","https://ror.org/01gqnz112","https://ror.org/04d7gd791","https://ror.org/01ds31v72","https://ror.org/04t2ss102","https://ror.org/046rm7j60","https://ror.org/010pmpe69","https://ror.org/02jx3x895","https://ror.org/02j8pe645"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains fossil and modern pollen data collated during a workshop held in the UK in 2008 as part of the NERC (Quantifying and Understanding the Earth System) QUEST programme. The 96 sampling sites are located from 24°E (western Ukraine and Belarus) to easternmost Siberia, and lie north of latitude 40°N. The sample ages range from 21ka to present and are assigned to 1,000 year time slices. The dataset has been checked for consistent taxonomy and a redundancy-free taxonomy has been produced. ","documentType":"GEMINI_DOCUMENT","familyName":["Binney","Lozhkin","Anderson","Andreev","Bezrukova","Blyakharchuk","Jankovska","Khazhina","Krivonogov","Kremenetski","Novenko","Ryabogina","Solovieva","Zernitzkaya"],"fullName":["Binney, H.","Binney, H.A.","Lozhkin, A.","Anderson, P.","Andreev, A.","Bezrukova, E.","Blyakharchuk, T.","Jankovska, V.","Khazhina, I.","Krivonogov, S.","Kremenetski, K.","Novenko, E.","Ryabogina, N.","Solovieva, N.","Zernitzkaya, V."],"givenName":["Heather","H.A.","A.","P","E.","T.","V.","I.","S.","K.","N."],"identifier":"6aeba247-52d1-4e84-949f-603742af40c1","incomingCitationCount":2,"keyword":["Eurasia","Russia","Belarus","Ukraine","Late Quaternary","pollen"],"keywordsOther":["Late Quaternary","pollen"],"keywordsPlace":["Eurasia","Russia","Belarus","Ukraine"],"licence":"Open government licence","lineage":"The pollen samples were collected and processed by the contributors who attended the workshop in 2008. The pollen was analysed (counted) by the individual contributors responsible for the sites. The data was entered into the database at the workshop with additional site information added where possible. The pollen data are in original counts (not percentage data).","locations":["POLYGON((23.666 42.862, 23.666 77.368, 178.3 77.368, 178.3 42.862, 23.666 42.862))"],"metadataDate":"2026-06-29T16:17:13.000Z","organisation":["University of Southampton","North East Interdisciplinary Research Institute","University of Washington","University of Cologne","Vinogradov Institute of Geochemistry","Institute for Monitoring Climatic and Ecological Systems","Institute of Botany of the Czech Academy of Sciences","Sobolev Institute of Geology and Mineralogy","Novosibirsk State University","UCLA","Lomonosov Moscow State University","Institute of Problems of Development of the North","University College London","National Academy of Sciences of Belarus","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6aeba247-52d1-4e84-949f-603742af40c1","10.5285/6aeba247-52d1-4e84-949f-603742af40c1","doi:10.5285/6aeba247-52d1-4e84-949f-603742af40c1"],"resourceType":"Dataset","ror":["https://ror.org/01ryk1543","https://ror.org/00cvxb145","https://ror.org/00rcxh774","https://ror.org/01gqnz112","https://ror.org/04d7gd791","https://ror.org/01ds31v72","https://ror.org/04t2ss102","https://ror.org/046rm7j60","https://ror.org/010pmpe69","https://ror.org/02jx3x895","https://ror.org/02j8pe645","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains fossil and modern pollen data collated during a workshop held in the UK in 2008 as part of the NERC (Quantifying and Understanding the Earth System) QUEST programme. The 96 sampling sites are located from 24°E (western Ukraine and Belarus) to easternmost…","state":"published","title":"Eurasian pollen data from 21 kiloannum to the present","version":1.0,"view":["public","kath"]},{"authorAffiliation":["Northumbria University","University of Leeds","Swiss Federal Institute for Forest, Snow and Landscape Research","British Antarctic Survey","National University of Singapore","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Bridgewater State University","University of Saskatchewan","University of Innsbruck","Appalachian State University","Servicio Nacional de Meteorología e Hidrología del Perú"],"authorFamilyName":["Fyffe","Potter","Fugger","Orr","Fatichi","Loarte","Medina","Hellström","Bernat","Aubry-Wake","Gurgiser","Perry","Suarez","Quincey","Pellicciotti"],"authorFullName":["Fyffe, C.L.","Potter, E.","Fugger, S.","Orr, A.","Fatichi, S.","Loarte, E.","Medina, K.","Hellström, R.Å.","Bernat, M.","Aubry-Wake, C.","Gurgiser, W.","Perry, L.B.","Suarez, W.","Quincey, D.J.","Pellicciotti, F."],"authorGivenName":["C.L.","E. 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Averaging was applied over the entire model period from 1980 to 2018.\n\nData includes:\n- Averaged precipitation and air temperature records and the related standard deviation at a 4km resolution (annually and for each season) for each catchment.\nMonthly averaged and monthly totals of air temperature and precipitation (averaged over each catchment).\n- WRF model input elevation for each catchment.\n- WRF total precipitation and maximum/minimum air temperature at the location of five on-glacier weather stations (Artesonraju Glacier, Shallap Glacier, Cuchillacocha Glacier, Quisoquipina Glacier and Quelccaya Ice Cap) at a daily resolution from 1980 to 2018. 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","S.","A.","E.","K.","R.Å.","M.","C.","W.","L.B.","D.J.","F."],"identifier":"7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5","incomingCitationCount":0,"keyword":["Cordillera Blanca","Cordillera Vilcanota","Cordillera Urubamba","Cordillera Vilcabamba","Peru","Rio Santa","climate modelling","Weather Research and Forecasting","WRF","tropical glaciers","Peruvian climate"],"keywordsOther":["climate modelling","Weather Research and Forecasting","WRF","tropical glaciers","Peruvian climate"],"keywordsPlace":["Cordillera Blanca","Cordillera Vilcanota","Cordillera Urubamba","Cordillera Vilcabamba","Peru","Rio Santa"],"licence":"Open government licence","lineage":"The Weather Research and Forecasting (WRF) model version 3.8.1 was run from 1980 to 2018 over an outer domain with 12 km horizontal resolution covering Peru, and two inner domains with 4 km horizontal resolution covering the two study catchments (the Rio Santa and Vilcanota catchments). \nThe precipitation and temperature data were bias-corrected against in-situ precipitation and air temperature observations in both regions. \nFor the bias correction, the model precipitation output is first corrected for the number of wet days, then a constant multiplicative correction is applied to adjust the magnitude. Furthermore, the model minimum and maximum daily temperatures are corrected additively, with the correction amount constant across the domain for the maximum daily temperature, and variable with latitude, longitude and height for minimum daily temperature.  \n","locations":["POLYGON((-79.5 -15, -79.5 -7.5, -70.1 -7.5, -70.1 -15, -79.5 -15))"],"metadataDate":"2026-06-29T18:08:25.000Z","orcid":["https://orcid.org/0000-0001-6950-3501","https://orcid.org/0000-0001-5273-1292","https://orcid.org/0000-0002-4659-4209","https://orcid.org/0000-0001-5111-8402","https://orcid.org/0000-0003-1361-6659","https://orcid.org/0000-0003-3123-1904","https://orcid.org/0000-0002-2910-6808","https://orcid.org/0000-0002-6004-5177","https://orcid.org/0000-0002-9452-8580","https://orcid.org/0000-0003-0598-6393","https://orcid.org/0000-0002-3409-790X"],"organisation":["Northumbria University","University of Leeds","Swiss Federal Institute for Forest, Snow and Landscape Research","British Antarctic Survey","National University of Singapore","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Bridgewater State University","University of Saskatchewan","University of Innsbruck","Appalachian State University","Servicio Nacional de Meteorología e Hidrología del Perú","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5","10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5","doi:10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5"],"resourceType":"Dataset","rightsHolder":["Northumbria University","University of Leeds"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Averaged outputs from the WRF (Weather Research and Forecasting) model for the Rio Santa and Vilcanota, Urubamba and Vilcabamba catchments in Peru. Averaging was applied over the entire model period from 1980 to 2018.\n\nData includes:\n- Averaged precipitation and air…","state":"published","title":"Averaged WRF (Weather Research and Forecasting) data for the Rio Santa and Vilcanota regions, Peru, 1980-2018","version":1.0,"view":["public","jualob"]},{"authorAffiliation":["Cardiff University","Newcastle University"],"authorFamilyName":["Windsor","Vaughan","Durance","Cuff","Ormerod"],"authorFullName":["Windsor, F.M.","Vaughan, I.P.","Durance, I.","Cuff, J.P.","Ormerod, S.J."],"authorGivenName":["F.M.","I.P.","I.","J.P.","S.J."],"authorOrcid":["https://orcid.org/0000-0001-5030-3470","https://orcid.org/0000-0002-7263-3822","https://orcid.org/0000-0002-4138-3349","https://orcid.org/0000-0002-0198-4940","https://orcid.org/0000-0002-8174-302X"],"authorRor":["https://ror.org/03kk7td41","https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains stable isotope concentration (d13C and d15N) and community abundance data for a range of aquatic macroinvertebrate taxa measured during a mesocosm drought experiment. The aquatic macroinvertebrates were sampled from four mesocosm system blocks at the Llyn Brianne Experimental Observatory. There were three experimental treatments included within each block (100% [control], 50%, and 10% of the baseflow discharge). Samples were collected before the treatments, and after 30 days of exposure to the treatments. Taxa were identified down to family level for abundance measurements.\n\nThe work was supported by the Natural Environment Research Council (NE/X010597/1), as part of a study to understand ecosystem responses to environmental change through quantifying ecological interactions in freshwater systems.\n","documentType":"GEMINI_DOCUMENT","familyName":["Windsor","Vaughan","Durance","Cuff","Ormerod"],"fullName":["Windsor, F.M.","Vaughan, I.P.","Durance, I.","Cuff, J.P.","Ormerod, S.J."],"funder":["Natural Environment Research Council"],"givenName":["F.M.","I.P.","I.","J.P.","S.J."],"grant":["NE/X010597/1"],"identifier":"a62a2f1c-2ed4-4ec9-b22c-c3b340a63ca5","incomingCitationCount":0,"keyword":["Biodiversity","ecology","stable isotope","macroinvertebrates","Wales","community abundance","freshwater","mesocosm","aquatic mesocosm"],"keywordsOther":["ecology","stable isotope","macroinvertebrates","Wales","community abundance","freshwater","mesocosm","aquatic mesocosm"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The mesocosm experiment followed a Before-After Control-Impact (BACI) design (Stewart-Oaten & Bence, 2001), and included a 6-month colonisation period (January to July 2023). Discharge treatments were generated by adjusting intake valves on the individual mesocosms, measuring the depth of the water and using pre-existing stage-discharge curves to calculate reductions in flow. Hess samplers (165cm2, 500um mesh gauge) were used to collect macroinvertebrates at each sampling point.\n\nStable isotope data were generated at UK Centre for Ecology and Hydrology (UKCEH) and reformatted for archiving. Concentrations of d13C and d15N were measured using a Flash EA 1112 Series Elemental Analyzer connected via a Conflo III to a DeltaPlus XP IRMS (Thermo Finnigan, Bremen, Germany).\n\nInternational reference materials USGS40 and USGS41a (both L-glutamic acid) were used as standards for d13C and d15N and duplicated with each batch of samples. Additionally, the USGS40 was used as a reference material for carbon and nitrogen concentrations. \n","locations":["POLYGON((-3.753 52.132, -3.753 52.133, -3.752 52.133, -3.752 52.132, -3.753 52.132))"],"metadataDate":"2026-06-29T17:03:56.000Z","orcid":["https://orcid.org/0000-0001-5030-3470","https://orcid.org/0000-0002-7263-3822","https://orcid.org/0000-0002-4138-3349","https://orcid.org/0000-0002-0198-4940","https://orcid.org/0000-0002-8174-302X"],"organisation":["Cardiff University","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a62a2f1c-2ed4-4ec9-b22c-c3b340a63ca5","10.5285/a62a2f1c-2ed4-4ec9-b22c-c3b340a63ca5","doi:10.5285/a62a2f1c-2ed4-4ec9-b22c-c3b340a63ca5"],"resourceType":"Dataset","rightsHolder":["Cardiff University"],"ror":["https://ror.org/03kk7td41","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains stable isotope concentration (d13C and d15N) and community abundance data for a range of aquatic macroinvertebrate taxa measured during a mesocosm drought experiment. The aquatic macroinvertebrates were sampled from four mesocosm system blocks at…","state":"published","title":"Stable isotope and community abundance data from freshwater macroinvertebrates collected during a mesocosm-based drought experiment","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Radboud University ","University of Southampton"],"authorFamilyName":["Robroek","Shepherd","Sahar","Dumont"],"authorFullName":["Robroek, B.J.M.","Shepherd, H.E.R.","Sahar, N.E.","Dumont, M.G."],"authorGivenName":["B.J.M.","H.E.R.","N.E.","M.G."],"authorOrcid":["https://orcid.org/0000-0002-6714-0652","https://orcid.org/0000-0002-7077-3581","https://orcid.org/0000-0002-7347-8668"],"authorRor":["https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the Bacterial Amplicon Sequence Variant (ASV) abundance from peat soil sampled following a wildfire on the Stalybridge estate (UK) in June 2020. Samples were taken in 10 established plots at three time periods following the fire: approximately 3 months, 10 months and 12 months post-fire. This was taken at two depths: 0 – 5cm from the surface (top) and 5 – 10 cm from the surface (bottom). The 10 plots were divided into two groups of five, one that was observed to have suffered a light burn (termed shallow burn) and one that received a more severe burn (termed deep burn). Five additional plots were sampled at the same time as the 3-month samples from a neighbouring unburned site (termed control plots). Samples where no ASVs were observed were removed from the dataset. ","documentType":"GEMINI_DOCUMENT","familyName":["Robroek","Shepherd","Sahar","Dumont"],"fullName":["Robroek, B.J.M.","Shepherd, H.E.R.","Sahar, N.E.","Dumont, M.G.","Robroek, B."],"funder":["Natural Environment Research Council"],"givenName":["B.J.M.","H.E.R.","N.E.","M.G.","Bjorn"],"grant":["NE/S011943/1"],"identifier":"01ced3c2-17c6-4512-b73b-e065afed7bad","incomingCitationCount":0,"keyword":["Blanket bog","Moorland","Peatland","16S rRNA ","Bacterial Amplicon Sequence Variant","DNA","bog","peat"],"keywordsOther":["Blanket bog","Moorland","Peatland","16S rRNA ","Bacterial Amplicon Sequence Variant","DNA","bog","peat"],"licence":"Open government licence","lineage":"DNA was extracted from the peat soil using the QIAGEN DNeasy powersoil kit, following standard manual specifications.  The extracted DNA was then sequenced through the use of high-throughput sequencing, using 515F/806R primers that target the V4 region of the 16S rRNA. Results from the sequencing were then cleaned and prepared using the DADA2 pipeline to produce the ASV table.","locations":["POLYGON((-1.966 53.542, -1.966 53.546, -1.942 53.546, -1.942 53.542, -1.966 53.542))"],"metadataDate":"2026-06-29T17:04:27.000Z","orcid":["https://orcid.org/0000-0002-6714-0652","https://orcid.org/0000-0002-7077-3581","https://orcid.org/0000-0002-7347-8668"],"organisation":["Radboud University ","University of Southampton","NERC EDS Environmental Information Data Centre","Radboud University"],"publicationDate":"2022-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/01ced3c2-17c6-4512-b73b-e065afed7bad","10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad","doi:10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad"],"resourceType":"Dataset","rightsHolder":["Radboud University"],"ror":["https://ror.org/01ryk1543","https://ror.org/04xw4m193","https://ror.org/016xsfp80"],"shortenedDescription":"This dataset contains information on the Bacterial Amplicon Sequence Variant (ASV) abundance from peat soil sampled following a wildfire on the Stalybridge estate (UK) in June 2020. Samples were taken in 10 established plots at three time periods following the fire:…","state":"published","title":"Post-fire microbial data (16S DNA) from burned peat soil on the Stalybridge estate (UK), October 2018","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","Pontificia Universidad Católica del Perú ","Ichthion Limited","Pontificia Universidad Católica del Perú"],"authorFamilyName":["Pinheiro","Ita-Nagy","Hidalgo","Flor","Osorio Baquero","Becerra","Grønneberg","Vázquez-Rowe","Kahhat","Lewis","Galloway"],"authorFullName":["Pinheiro, L.","Ita-Nagy, D.","Hidalgo, D.G.","Flor, D.","Osorio Baquero, A.","Becerra, N.","Grønneberg, I.","Vázquez-Rowe, I.","Kahhat, R.","Lewis, C.","Galloway, T.S."],"authorGivenName":["L.","D.","D.G.","A.","N.","I.","R.","C.","T.S."],"authorOrcid":["https://orcid.org/0000-0003-2064-7138","https://orcid.org/0000-0002-2512-3731","https://orcid.org/0009-0005-3458-9276","https://orcid.org/0009-0005-8418-5704","https://orcid.org/0000-0003-3568-8338","https://orcid.org/0000-0002-7469-2033","https://orcid.org/0000-0001-7321-2256","https://orcid.org/0000-0002-3564-2906","https://orcid.org/0000-0002-7466-6775"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00013q465"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource contains information on anthropogenic litter from the Portoviejo River, in Ecuador, collected between years 2021 and 2022. This work is part of the Natural Environment Research Council project “Reducing the impacts of plastic waste in the Eastern Pacific Ocean” (NE/V005448/1). The purpose of collecting this dataset was to obtain consistent observational data of solid waste contamination in a South American river system using a newly developed clean-up technology called the Azure System. The dataset contains information of weight (in kilograms) of different categories of anthropogenic litter collected using the Azure System, a floating barrier designed as a litter extraction tool for rivers. The system was developed by Ichthion Limited (https://ichthion.com/), who were also responsible for data collection on site. The barrier was installed at the city of Portoviejo, where litter was collected from February 2021 until December 2022 and quantities were reported weekly for each month.","documentType":"GEMINI_DOCUMENT","familyName":["Pinheiro","Ita-Nagy","Hidalgo","Flor","Osorio Baquero","Becerra","Grønneberg","Vázquez-Rowe","Kahhat","Lewis","Galloway"],"fullName":["Pinheiro, L.","Ita-Nagy, D.","Hidalgo, D.G.","Flor, D.","Osorio Baquero, A.","Becerra, N.","Grønneberg, I.","Vázquez-Rowe, I.","Kahhat, R.","Lewis, C.","Galloway, T.S."],"funder":["Natural Environment Research Council","Pontificia Universidad Católica del Perú ","Benioff Ocean Science Laboratory","The Coca Cola Foundation"],"givenName":["L.","D.","D.G.","A.","N.","I.","R.","C.","T.S."],"grant":["NE/V005448/1","PI0859"],"identifier":"e78e1cef-e30b-4313-8733-c03e1a7b7b2f","incomingCitationCount":0,"keyword":["Portoviejo River","Ecuador","Pollution","river clean-up","waste management","watershed","anthropogenic","macroplastics","plastic waste","river pollution"],"keywordsOther":["river clean-up","waste management","watershed","anthropogenic","macroplastics","plastic waste","river pollution"],"keywordsPlace":["Portoviejo River","Ecuador"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Data for anthropogenic litter was originally tabulated by operators and Ichthion as weight (kilograms) by week for general litter categories describing its previous use (e.g.: plastic bottles, plastic food wrappers, plastic grocery bags, plastic straws/cutlery, metal, organic waste, glass bottle and jar, fil plastics, plastic cup, footwear, foam container, tetrapak drinks, hard plastic pieces, and others). Initial spreadsheets consisted of separated excel files for each sampling year (2021 and 2022), and within each file there were separated tabs for each month. From those initial spreadsheets, litter data was checked by Ichthion for quality control and then reorganised at the University of Exeter onto a new spreadsheet, reclassifying the types of anthropogenic litter according to OSPAR Guidelines Guideline for Monitoring Marine Litter on the Beaches in the OSPAR Maritime Area, Edition 1.0, 2010 (https://www.ospar.org/ospar-data/10-02e_beachlitter%20guideline_english%20only.pdf). Upon reclassification, data was then organised in weight of anthropogenic items per litter category per week, as seen on the provided dataset.","locations":["POLYGON((-80.589 -1.162, -80.589 -0.927, -80.285 -0.927, -80.285 -1.162, -80.589 -1.162))"],"metadataDate":"2026-06-29T17:18:01.000Z","orcid":["https://orcid.org/0000-0003-2064-7138","https://orcid.org/0000-0002-2512-3731","https://orcid.org/0009-0005-3458-9276","https://orcid.org/0009-0005-8418-5704","https://orcid.org/0000-0003-3568-8338","https://orcid.org/0000-0002-7469-2033","https://orcid.org/0000-0001-7321-2256","https://orcid.org/0000-0002-3564-2906","https://orcid.org/0000-0002-7466-6775"],"organisation":["University of Exeter","Pontificia Universidad Católica del Perú ","Ichthion Limited","Pontificia Universidad Católica del Perú","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e78e1cef-e30b-4313-8733-c03e1a7b7b2f","10.5285/e78e1cef-e30b-4313-8733-c03e1a7b7b2f","doi:10.5285/e78e1cef-e30b-4313-8733-c03e1a7b7b2f"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/00013q465","https://ror.org/04xw4m193"],"shortenedDescription":"This data resource contains information on anthropogenic litter from the Portoviejo River, in Ecuador, collected between years 2021 and 2022. This work is part of the Natural Environment Research Council project “Reducing the impacts of plastic waste in the Eastern…","state":"published","title":"Anthropogenic litter data collected from the Portoviejo River, Ecuador, 2021-2022","topic":["0/Pollution/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institut Sénégalais de Recherches Agricoles (ISRA)"],"authorFamilyName":["Odee","Telford","Wilson","Gaye","Cavers"],"authorFullName":["Odee, D.","Telford, A.","Wilson, J.","Gaye, A.","Cavers, S."],"authorGivenName":["D.","A.","J.","S."],"authorOrcid":["https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04z4j3y75"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data on genetic variation in Acacia senegal across its natural range, based on two chloroplast marker types - RFLP (restriction fragment length polymorphism) and microsatellites.","documentType":"GEMINI_DOCUMENT","familyName":["Cavers","Odee","Telford","Wilson","Gaye"],"fullName":["Cavers, S.","Odee, D.","Telford, A.","Wilson, J.","Gaye, A."],"givenName":["Stephen","D.","A.","J.","S."],"identifier":"de1f9a43-dd0d-428c-af7b-2dfdfc8c127a","incomingCitationCount":1,"keyword":["Africa","Biodiversity","Acacia senegal"],"keywordsOther":["Acacia senegal"],"keywordsPlace":["Africa"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"The chloroplast DNA marker data are derived from Acacia senegal samples collected by CEH and partner organisations (Kenya Forestry Research Institute [KEFRI] and Institut Sénégalais de Recherches Agricoles [ISRA]) staff. The samples were collected from 297 mature trees in 66 sites across its natural range in sub-Saharan Africa, the Arabian Peninsula, Pakistan and India. A detailed A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article:  Odee, D. W., Telford, A., Wilson, J., Gaye, A., & Cavers, S. (2012). Plio-Pleistocene history and phylogeography of Acacia senegal in dry woodlands and savannahs of sub-Saharan tropical Africa: evidence of early colonisation and recent range expansion. Heredity, 109(6), 372–382. https://doi.org/10.1038/hdy.2012.52","locations":["POLYGON((-19.688 -37.44, -19.688 38.823, 99.141 38.823, 99.141 -37.44, -19.688 -37.44))"],"metadataDate":"2026-06-27T15:22:35.000Z","orcid":["https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Institut Sénégalais de Recherches Agricoles (ISRA)","Natural Environment Research Council","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de1f9a43-dd0d-428c-af7b-2dfdfc8c127a","10.5285/de1f9a43-dd0d-428c-af7b-2dfdfc8c127a","doi:10.5285/de1f9a43-dd0d-428c-af7b-2dfdfc8c127a"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04z4j3y75","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"Data on genetic variation in Acacia senegal across its natural range, based on two chloroplast marker types - RFLP (restriction fragment length polymorphism) and microsatellites.","state":"published","supplementalName":["Accompanying sequence data lodged with GenBank repository"],"title":"Chloroplast DNA marker data for Acacia senegal","topic":["0/Biodiversity/"],"version":1.0,"view":["public","leav"]},{"authorAffiliation":["University of Cambridge"],"authorFamilyName":["Möller","Evans","Spencer"],"authorFullName":["Möller, I.","Evans, B.R.","Spencer, T."],"authorGivenName":["I.","B.R.","Tom"],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details derived wave parameters from bottom-mounted pressure monitoring installations across five UK salt marshes. Two of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area. The sensors were deployed in transects oriented approximately shore-normal and straddling the vegetated-unvegetated margin. \n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Spencer","Möller","Evans"],"fullName":["Spencer, T.","Möller, I.","Evans, B.R."],"funder":["Natural Environment Research Council"],"givenName":["Tom","I.","B.R."],"grant":["NE/J015644/1"],"identifier":"f4db9cda-c25e-4ce8-b236-31e8bf44fcde","incomingCitationCount":0,"keyword":["Essex","Morecambe Bay","United Kingdom","BESS","CBESS","wave monitoring","attenuation","transformation","pressure sensors","mudflat","vegetated foreshores","salt marsh"],"keywordsOther":["wave monitoring","attenuation","transformation","pressure sensors","mudflat","vegetated foreshores","salt marsh"],"keywordsPlace":["Essex","Morecambe Bay","United Kingdom"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"At each site a transect of Druck PDCR1830 pressure transducers was established to include the transition between vegetated and unvegetated foreshore areas. For each of the Essex sites eight transducers were deployed, while in Morecambe twelve constituted a transect. Transducers were attached to a Campbell CR1000 datalogger programmed to record at 4Hz at the top of the tide. Pressure data were subsequently processed following the method of Möller et al. (1999) to produce the output parameters mean water depth (hPT), spectrally-derived total spectral energy (EPT), spectrally-derived significant wave height (HsPT) and spectrally-derived peak wave period (TpPT). Records were subsequently filtered to remove those coinciding with known problems with equipment and those deemed to be breaking based on the calculated wave height to water depth ratio.","locations":["POLYGON((-3 51.5, -3 54.25, 1 54.25, 1 51.5, -3 51.5))"],"metadataDate":"2026-06-29T16:17:48.000Z","organisation":["University of Cambridge","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","University Of Cambridge"],"publicationDate":"2016-02-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4db9cda-c25e-4ce8-b236-31e8bf44fcde","10.5285/f4db9cda-c25e-4ce8-b236-31e8bf44fcde","doi:10.5285/f4db9cda-c25e-4ce8-b236-31e8bf44fcde"],"resourceType":"Dataset","rightsHolder":["University Of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details derived wave parameters from bottom-mounted pressure monitoring installations across five UK salt marshes. Two of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted…","state":"published","supplementalDescription":["The following paper provides details on the methods used to collect the data: Möller, I., Spencer, T., French, J. R. R., Leggett, D. J. J., & Dixon, M. (1999). Wave Transformation Over Salt Marshes: A Field and Numerical Modelling Study from North Norfolk, England. Estuarine, Coastal and Shelf Science, 49(3), 411-426"],"title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) wave monitoring over saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Cranfield University"],"authorFamilyName":["Hibdige","Larionov","Harris","Pawlett"],"authorFullName":["Hibdige, S.","Larionov, A.","Harris, J.","Pawlett, M."],"authorGivenName":["Sam","Alexey","Jim","Mark"],"authorOrcid":["https://orcid.org/0000-0001-9266-4979","https://orcid.org/0000-0001-8060-0345"],"authorRor":["https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises Alpha diversity and functional metrics estimations of soil bacterial and fungal communities and soil chemical properties (pH and electrical conductivity) in samples collected from 60 broadleaved woodland restoration sites from Central Scotland (2021) and English Midlands (2022). A further six wildcard sites made up of ancient woodlands (2 in Scotland and 2 in England) and rewilding sites (2 in England) were visited, and soil samples collected using a 10cm soil corer. Information on site characteristics were collected, including age of the restoration site, former land-use and features of the surrounding landscape. DNA was extracted from the soil and sequenced for metagenomic analysis.","documentType":"GEMINI_DOCUMENT","familyName":["Hibdige","Larionov","Harris","Pawlett"],"fullName":["Samuel Hibdige","Hibdige, S.","Larionov, A.","Harris, J.","Pawlett, M."],"funder":["Natural Environment Research Council"],"givenName":["Sam","Alexey","Jim","Mark"],"grant":["NE/V006444/1"],"identifier":"a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2","incomingCitationCount":0,"keyword":["Soil","Biodiversity","soil chemistry","metagenomics"],"keywordsOther":["soil chemistry","metagenomics"],"keywordsTheme":["Soil","Biodiversity"],"licence":"Non-Open government licence","lineage":"Fieldwork instrumentation used.  Basic field instruments were used to mark plot positions (GPS), set out the plots (20m tape measures), and collect soil samples (soil corer).\nMethods of collection and how data was values were recorded. In each site, five circular plots (radius 10m) were established with their centres randomly decided in advance using ArcGIS. Sampling of our 30 Scottish woodland restorations sites occurred in 2021, for our 30 English woodland restoration sites and our six wildcards, sampling occurred in 2022. Some were subsequently resampled in 2023.  Data processing and lab-based techniques continued into 2024. Soil: Five 10cm soil cores were collected randomly from each plot and stored at 4°C. Soil was sieved to 2mm, samples were split between storage at -20°C for DNA extraction and 4°C. Site characteristics:  Site location was recorded using GPS.  Information on site history (including site age and former land-use) was recorded based on historic maps and information from landowners.  Surrounding land use cover was recorded based on the UCKCEH Landcover Map.\nNature and units of recorded variables and processing steps.  \npH: Soil was air dried and the five samples per site were pooled together. Ultrapure water was added and the samples agitated before values were measured with a pH probe. The pH reading was considered stable when the value did not vary by more than 0.02 units over five seconds. Electrical Conductivity: Soil was air dried and the five samples per site were pooled together. Ultrapure water was added and the samples agitated, centrifuged and filtered. Electrical conductivity was then measured using a probe and recorded in uS. Alpha diversity metrics: DNA was extracted from the soil using laboratory kits and sequenced by a third-party company (Novogene) using a paired-end Illumina platform, (NovaSeq 6000) using well established amplicon regions. The data was processed using QIIME2 to generate feature tables per sample. Taxonomy was assigned to the amplicons using Greengenes 2 (bacteria) and UNITE dynamic (Fungal). Shannon, Faith PD and chao1 were calculated from the QIIME2 feature tables and the assigned taxonomy. Functional metrics (bacteria): PicrusT2 was used to estimate Enzyme Commission numbers (EC), KEGG orthologs (KO) and MEtaCyc pathway predictions were calculated using default parameters using EPA-NG to place sequences into the required reference phylogeny. QIIME2 was then used to calculate Shannon entropy and Chao1 from the pathway abundance feature tables from PicrusT2. Functional metrics (fungi): Funguild was used to estimate guild associations per sample. QIIME2 was then used to calculate Shannon entropy and Chao1 from the guild tables. Former land-use is categorical with 4 levels: Industrial (n=30), Agricultural (n=30), Ancient Woodland (n=4) and Rewilding (n=2).\nQuality control/assessment applied to the data Data was collected in the field using pre-prepared data sheets. Data sheets were checked both visually before digital data entry, and any suspected errors were checked with raw field data sheets.  Extracted DNA was quantified on Nanodrop spectrophotometer to measure ng/μl, 260/280, and 260/230 ratios before being sent for sequencing. The sequencing company (Novogene) provided their own quality control before and after sequencing and any that failed were re-extracted and re-sequenced. The received sequenced reads were examined using FAST-QC and MULTI-QC and trimmed accordingly with cut adapt. The reads were then quality filtered and processed using DADA2. Rarefactions plots were generated to examine feature counts to ensure feature tables were of expected quality.\nLimitations on the data's reliability.  Amplicon sequencing is largely only accurate to genus level and taxonomy assignment is limited by database curation. Functional analysis based on amplicon sequencing is less accurate that shotgun sequencing as functionality is inferred.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:14:47.000Z","orcid":["https://orcid.org/0000-0001-9266-4979","https://orcid.org/0000-0001-8060-0345"],"organisation":["Cranfield University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2","10.5285/a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2","doi:10.5285/a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2"],"resourceType":"Dataset","rightsHolder":["Cranfield University"],"ror":["https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises Alpha diversity and functional metrics estimations of soil bacterial and fungal communities and soil chemical properties (pH and electrical conductivity) in samples collected from 60 broadleaved woodland restoration sites from Central Scotland…","state":"published","title":"Soil metagenomics data from woodland restoration sites in Central Scotland, 2021 and English Midlands, 2022","topic":["0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["AgResearch","Inholland University of Applied Sciences","University of Antananarivo","University of Zurich"],"authorFamilyName":["Ghimire","Zwartendijk","Ravelona","Lahitiana","van Meerveld"],"authorFullName":["Ghimire, C.P.","Zwartendijk, B.W.","Ravelona, M.","Lahitiana, J.","van Meerveld, H.J."],"authorGivenName":["C.P.","B.W.","M.","J. ","H.J."],"authorOrcid":["https://orcid.org/0000-0002-3715-6311","https://orcid.org/0000-0002-0581-7330","https://orcid.org/0000-0002-7547-3270"],"authorRor":["https://ror.org/0124gwh94","https://ror.org/03cfsyg37","https://ror.org/02w4gwv87","https://ror.org/02crff812"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Hydrological and meteorological data were collected for three plots (each 50 x 50 m in size) near Andasibe village in the Corridor Ankeniheny-Zahamena (CAZ) in eastern Madagascar. The plots differ in terms of land cover: semi-mature forest, reforested tree fallow (i.e., young secondary forest), and degraded grassland. The plots are located within 2.5 km from each other. See the supporting documentation for detailed information on the plots. Data collection continued for one year (October 2014-September 2015) at each plot and included micrometeorological data (rainfall, temperature, relative humidity, wind speed), soil moisture and overland flow, and for the two forested plots also throughfall, stemflow and sapflow.","documentType":"GEMINI_DOCUMENT","familyName":["Ghimire","Zwartendijk","Ravelona","Lahitiana","van Meerveld"],"fullName":["Ghimire, C.P.","Zwartendijk, B.W.","Ravelona, M.","Lahitiana, J.","van Meerveld, H.J."],"funder":["Natural Environment Research Council"],"givenName":["C.P.","B.W.","M.","J. ","H.J."],"grant":["NE/K010417/1"],"identifier":"5d080fef-613a-4f24-a613-b249ccdd12bf","incomingCitationCount":0,"keyword":["Madagascar","Hydrology","Secondary Forest","Degraded Grassland","Runoff Plots","Throughfall","Stemflow","Overland Flow","soil moisture","atmospheric precipitation","runoff","grassland"],"keywordsOther":["Secondary Forest","Degraded Grassland","Runoff Plots","Throughfall","Stemflow","Overland Flow","soil moisture","atmospheric precipitation","runoff","grassland"],"keywordsPlace":["Madagascar"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The meteorological data were collected on a meteorological tower at each plot, except for the forested plot where the tower was located in a nearby clearing. Rainfall was collected automatically using a typing bucket raingauge. For the two forested plots, throughfall was measured daily using 66 funnel gauges and automatically using three troughs, and stemflow was collected daily. Soil moisture was measured automatically at different depths below the surface. Runoff was collected in drums below bounded runoff plots and measured daily. The methods used to collect the hydrological and meteorological data at each plot and the data processing steps are described in more detail in the \"Methods.rtf\" file","locations":["POLYGON((43.191 -25.608, 43.191 -11.945, 50.483 -11.945, 50.483 -25.608, 43.191 -25.608))"],"metadataDate":"2026-06-29T18:30:18.000Z","orcid":["https://orcid.org/0000-0002-3715-6311","https://orcid.org/0000-0002-0581-7330","https://orcid.org/0000-0002-7547-3270"],"organisation":["AgResearch","Inholland University of Applied Sciences","University of Antananarivo","University of Zurich","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5d080fef-613a-4f24-a613-b249ccdd12bf","10.5285/5d080fef-613a-4f24-a613-b249ccdd12bf","doi:10.5285/5d080fef-613a-4f24-a613-b249ccdd12bf"],"resourceType":"Dataset","rightsHolder":["University of Zurich"],"ror":["https://ror.org/0124gwh94","https://ror.org/03cfsyg37","https://ror.org/02w4gwv87","https://ror.org/02crff812","https://ror.org/04xw4m193"],"shortenedDescription":"Hydrological and meteorological data were collected for three plots (each 50 x 50 m in size) near Andasibe village in the Corridor Ankeniheny-Zahamena (CAZ) in eastern Madagascar. The plots differ in terms of land cover: semi-mature forest, reforested tree fallow (i.e.,…","state":"published","supplementalName":["Ecosystem services for poverty alleviation (ESPA)","P4GES: Can Paying for Global Ecosystem Services reduce poverty?"],"title":"Hydrological and meteorological data for three plots with different vegetation near Andasibe, Madagascar, 2014-2015","topic":["0/Hydrology/"],"version":1.0,"view":["public","margla"]},{"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":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland.\n\nTo aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for (a) Great Britain, and (b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk, 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."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"grant":["NE/R016429/1"],"identifier":"f7142ced-f6ff-486b-af33-44fb8f763cde","incomingCitationCount":2,"keyword":["Great Britain","Northern Ireland","UK-SCAPE","Climate and climate change","Modelling","Hydrology","Grid-to-Grid","G2G","soil moisture"],"keywordsOther":["Grid-to-Grid","G2G","soil moisture"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Climate and climate change","Modelling","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.org/10.1016/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, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-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 (Potential evaporation) derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:33:45.000Z","orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7142ced-f6ff-486b-af33-44fb8f763cde","10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde","doi:10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided…","state":"published","supplementalDescription":["V.A. Bell, A.L. Kay, R.G. Jones, R.J. Moore, N.S. Reynard, Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK, Journal of Hydrology, Volume 377, Issues 3–4, 2009, Pages 335-350, ISSN 0022-1694","Dataset used for driving data"],"supplementalName":["United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections"],"title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)","topic":["0/Climate and climate change/","0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","dgwr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?facet=availability%7CAvailable"}