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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.\nData was logged with a Campbell Scientific CR1000X datalogger.\nFluxes were calculated using EddyPro7 V7.0.6 software.\nOutliers were removed and gap-filling was done according to the workflow of Morrison et al. (2019).\n","locations":["POLYGON((-3.604 53.449, -3.604 55.998, 0.022 55.998, 0.022 53.449, -3.604 53.449))"],"metadataDate":"2026-07-25T10:22:32.000Z","orcid":["0000-0003-2518-6916","0000-0002-1847-3127","0000-0003-3637-3987","0000-0002-6080-0726","0000-0003-0438-6855"],"organisation":["University of Leeds","UK Centre for Ecology & Hydrology","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b6c2393-b751-46b4-b139-71ca09321139","10.5285/9b6c2393-b751-46b4-b139-71ca09321139","doi:10.5285/9b6c2393-b751-46b4-b139-71ca09321139"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains 30-minute observations of land-atmosphere exchange of net ecosystem carbon dioxide exchange and sensible and latent heat measured over the growing season of a maize crop grown for bioenergy in Yorkshire, UK. Turbulent fluxes were measured using…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Growing-season eddy covariance measurements of carbon dioxide, energy and water fluxes of a bioenergy maize crop, Yorkshire, UK, 2021","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Botswana Department of Water and Sanitation","University of Aberdeen"],"authorFamilyName":["Petros","Comte"],"authorFullName":["Petros, A.","Comte, J.-."],"authorGivenName":["A."," J.-C."],"authorOrcid":["0000-0002-5129-8391"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained from manual sampling of 22 boreholes; and (2) higher temporal resolution (5-min time-step) timeseries of water table depth, groundwater temperature and electrical conductivity obtained from automatic dataloggers in 3 of the abovementioned boreholes.","documentType":"GEMINI_DOCUMENT","familyName":["Petros","Comte"],"fullName":["Petros, A.","Comte, J.-.","Comte, J."],"givenName":["A."," J.-C.","Jean-Christophe"],"identifier":"40a80d95-5a8a-4586-aa24-d6c87f9968b6","incomingCitationCount":0,"keyword":["Borehole","Physico-chemical parameters","Timeseries","Temperature","pH","Total dissolved solids","groundwater","electrical conductivity","water table","hydrogeology","physicochemical analysis"],"keywordsOther":["Borehole","Physico-chemical parameters","Timeseries","Temperature","pH","Total dissolved solids","groundwater","electrical conductivity","water table","hydrogeology","physicochemical analysis"],"licence":"Open government licence","lineage":"Manual water table depth measurements during the near-monthly campaigns were done in situ using a standard groundwater dipmeter. Manual groundwater pH, temperature, electrical conductivity and total dissolved solids measurements (Strategy 1) were obtained on pumped grab groundwater samples from borehole taps.\nAutomatic loggers immersed in a selection of three boreholes provided high-temporal resolution (5-min) groundwater level, temperature, electrical conductivity data (Strategy 2). Raw groundwater levels were provided in meter equivalent freshwater head above the logger, later converted in depth in Excel through two sequential processing steps: (1) barometric compensation, from a barometric sensor installed; (2) depth correction using the manual depth measurements (Strategy 1) and applying linear interpolation between measurement dates.\nDatasets were post-process through removal of obvious measurement errors, including human errors when writing up values on field notebook and anomalous datalogger records associated to sensor extraction from the well.\n","locations":["POLYGON((25.25 -25.296, 25.25 -24.677, 25.981 -24.677, 25.981 -25.296, 25.25 -25.296))"],"metadataDate":"2026-07-24T21:14:33.000Z","orcid":["0000-0002-5129-8391"],"organisation":["Botswana Department of Water and Sanitation","University of Aberdeen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40a80d95-5a8a-4586-aa24-d6c87f9968b6","10.5285/40a80d95-5a8a-4586-aa24-d6c87f9968b6","doi:10.5285/40a80d95-5a8a-4586-aa24-d6c87f9968b6"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Groundwater monitoring data following 2016-2017 extreme rainfall and floods in the Gaborone catchment, Upper Limpopo basin, Botswana","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Air Quality Management Resource Centre","University of Leicester","UK Health and Security Agency","Imperial College London","Cranfield University","University of Plymouth","The Open University"],"authorFamilyName":["Hayes","Hansell","Douglas","Roca-Barcelo","Williams","Tyrell","Jackson","Nasar","Rolph","Khera","Bennett","Gladding"],"authorFullName":["Hayes, E.T.","Hansell, A.","Douglas, P.","Roca-Barcelo, A.","Williams, B.","Tyrell, S.","Jackson, S.","Nasar, Z.","Rolph, C.","Khera, S.","Bennett, A.","Gladding, T."],"authorGivenName":["E.T.","A.","P.","B.","S.","Z.","C.","T."],"authorRor":["https://ror.org/02nwg5t34","https://ror.org/04h699437","https://ror.org/041kmwe10","https://ror.org/05cncd958","https://ror.org/008n7pv89","https://ror.org/05mzfcs16"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"These files represent the model build used to generate postcode level concentrations to estimate Aspergillus fumigatus exposure from outdoor composting activities in England between 2005 and 2014. Each file, named after the nearest SCAIL-Agriculture validated meteorological station used to model the outputs, contains modelled concentrations at composting sites within 4km of each composting site. These files, presented as.txt, are the .APL files used to model bioaerosol dispersion from every composting site in England, using ADMS 5. To use this file, please convert the .txt file extension to .APL and upload into ADMS. From there, press run. Model runs are likely to generate over 40GB of data per model run.\n\nThe work was supported by the Natural Environment Research Council grants (NE/P010806/1 and NE/M011631/1).","documentType":"GEMINI_DOCUMENT","familyName":["Hayes","Hansell","Douglas","Roca-Barcelo","Williams","Tyrell","Jackson","Nasar","Rolph","Khera","Bennett","Gladding"],"fullName":["Hayes, E.T.","Hansell, A.","Douglas, P.","Roca-Barcelo, A.","Williams, B.","Tyrell, S.","Jackson, S.","Nasar, Z.","Rolph, C.","Khera, S.","Bennett, A.","Gladding, T."],"funder":["Natural Environment Research Council"],"givenName":["E.T.","A.","P.","B.","S.","Z.","C.","T."],"grant":["NE/M011631/1","NE/P010806/1"],"identifier":"9f1b307b-9b47-4a11-8e5b-e14008ad0032","incomingCitationCount":0,"keyword":["Modelling","Bioaerosols","ADMS","Aspergillus fumigatus","modelling","aerosol"],"keywordsOther":["Bioaerosols","ADMS","Aspergillus fumigatus","modelling","aerosol"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"The model build is derived from inputs from academic literature (for particulate matter), meteorological information (BADC) and the authors considerations of site operating hours.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-08-26T12:26:32.000Z","organisation":["Air Quality Management Resource Centre","University of Leicester","UK Health and Security Agency","Imperial College London","Cranfield University","University of Plymouth","The Open University","NERC EDS Environmental Information Data Centre","University of the West of England"],"publicationDate":"2022-05-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f1b307b-9b47-4a11-8e5b-e14008ad0032","10.5285/9f1b307b-9b47-4a11-8e5b-e14008ad0032","doi:10.5285/9f1b307b-9b47-4a11-8e5b-e14008ad0032"],"resourceType":"Dataset","rightsHolder":["University of the West of England"],"ror":["https://ror.org/02nwg5t34","https://ror.org/04h699437","https://ror.org/041kmwe10","https://ror.org/05cncd958","https://ror.org/008n7pv89","https://ror.org/05mzfcs16","https://ror.org/04xw4m193"],"shortenedDescription":"These files represent the model build used to generate postcode level concentrations to estimate Aspergillus fumigatus exposure from outdoor composting activities in England between 2005 and 2014. Each file, named after the nearest SCAIL-Agriculture validated meteorological…","state":"published","temporalExtentText":"Data collected from 2005 to 2014","title":"Estimated Aspergillus fumigatus concentrations at postcode level within close proximity of outdoor composting facilities in England, 2005-2014","topic":["0/Modelling/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS"],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood"],"authorFullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"authorOrcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338","0000-0003-0742-3658","0000-0002-2300-6558","0000-0002-6631-0672"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Woodland vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see Supporting documentation). This survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood","Monteith"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C.","Monteith, D."],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"identifier":"94aef007-634e-42db-bc52-9aae86adbd33","incomingCitationCount":1,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Biodiversity","semi-natural and managed vegetation","vegetation species","Environmental Change Network","ILTER","LTER"],"keywordsOther":["semi-natural and managed vegetation","vegetation species","Environmental Change Network","ILTER","LTER"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). This survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:43:53.000Z","orcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338","0000-0003-0742-3658","0000-0002-2300-6558","0000-0002-6631-0672"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/94aef007-634e-42db-bc52-9aae86adbd33","10.5285/94aef007-634e-42db-bc52-9aae86adbd33","doi:10.5285/94aef007-634e-42db-bc52-9aae86adbd33"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Woodland vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see Supporting documentation). This survey is conducted when plots surveyed during the coarse-grain…","state":"published","temporalExtentText":"Data collection started in 1993","title":"UK Environmental Change Network (ECN) woodland vegetation data: 1993-2014","topic":["0/Biodiversity/"],"version":1.0,"view":["kath","srennie","phtr","public"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Bass","Coleman","Waldron","Scott"],"authorFullName":["Bass, A.M.","Coleman, M.","Waldron, S.","Scott, M."],"authorGivenName":["A.M.","M.","S."],"authorOrcid":["0000-0003-3982-6582","0000-0002-2683-0761","0000-0002-3709-0623"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set covers high resolution (30-min frequency) water quality and dissolved carbon data from a peatland river in Southwest Scotland (5.8 km2), part of the Whitelee Wind Farm complex. The data set covers approx. 2.5 years including two full hydrological years and 261 individual flood events between 23/05/2012 and 16/12/2014. Carbon data was measured using a Scan Spectrolyser – a field deployable UV-Vis light spectrometer. ","documentType":"GEMINI_DOCUMENT","familyName":["Bass","Coleman","Waldron","Scott"],"fullName":["Bass, A.M.","Coleman, M.","Waldron, S.","Scott, M.","Bass, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","M.","S.","Adrian"],"identifier":"4c591c29-01c9-493b-806e-7253e2682376","incomingCitationCount":0,"keyword":["Hydrology","Water quality","Peatland ","Spectrolyser","UV-Vis","Hysteresis","Discharge event","Time-series","Hydrograph","River chemistry","Dissolved organic matter","organic matter","hydrography","flood","peat","dissolved organic carbon","particulate organic carbon"],"keywordsOther":["Peatland ","Spectrolyser","UV-Vis","Hysteresis","Discharge event","Time-series","Hydrograph","River chemistry","Dissolved organic matter","organic matter","hydrography","flood","peat","dissolved organic carbon","particulate organic carbon"],"keywordsTheme":["Hydrology","Water quality"],"licence":"Open government licence","lineage":"Data was initially collected as part of a NERC funded PhD project, and subsequently further analysed by Bass AM and co-authors for publication. Water quality sensors were calibrated against standard solutions for pH and conductivity. Dissolved organic carbon (DOC) data was calibrated against data analysed on a Thermolox(TM) TOC analyser. ","locations":["POLYGON((-4.328 55.658, -4.328 55.686, -4.282 55.686, -4.282 55.658, -4.328 55.658))"],"metadataDate":"2026-07-24T21:20:40.000Z","orcid":["0000-0003-3982-6582","0000-0002-2683-0761","0000-0002-3709-0623"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-08-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4c591c29-01c9-493b-806e-7253e2682376","10.5285/4c591c29-01c9-493b-806e-7253e2682376","doi:10.5285/4c591c29-01c9-493b-806e-7253e2682376"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"This data set covers high resolution (30-min frequency) water quality and dissolved carbon data from a peatland river in Southwest Scotland (5.8 km2), part of the Whitelee Wind Farm complex. The data set covers approx. 2.5 years including two full hydrological years…","state":"published","temporalExtentText":"Data collected from 2012 to 2014","title":"Physico-chemical properties and discharge of a peatland river, Drumtree, Scotland, May 2012 to December 2014","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"This data collection comprises glaciological, hydrological and climatological data associated with the project Peruvian Glacier Retreat and its Impact on Water Security (PeruGROWS). The aim of PeruGROWS is to investigate the impacts of ongoing and projected climate change on glacier retreat and water resources in the Rio Santa catchment (the most glacierised catchment in Peru) and quantify adaptation strategies and alternative scenarios of water uses to enhance the resilience of Peruvian communities and ecosystems. PeruGROWS involves both UK and Peruvian organisations, including: Northumbria University, British Antarctic Survey, University of Leeds, Cranfield University, Heriot Watt University, INAIGEM, SENAMHI and Catholic University of Peru (PUCP) as well as further international partners.","documentType":"GEMINI_DOCUMENT","identifier":"c1dc6b28-8dc9-458d-b98d-76a844d1a8cc","incomingCitationCount":0,"keyword":["Climate and climate change","ecohydrological modelling","tropical glaciers","Peru"],"keywordsOther":["ecohydrological modelling","tropical glaciers","Peru"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","metadataDate":"2024-02-08T17:32:29.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c1dc6b28-8dc9-458d-b98d-76a844d1a8cc"],"resourceType":"Aggregation","shortenedDescription":"This data collection comprises glaciological, hydrological and climatological data associated with the project Peruvian Glacier Retreat and its Impact on Water Security (PeruGROWS). The aim of PeruGROWS is to investigate the impacts of ongoing and projected climate…","state":"published","title":"Peruvian Glacier Retreat and its Impact on Water Security (PeruGROWS)","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"authorFullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"authorGivenName":["K.B.","J.A.","K.","S.","E.F.","B."],"authorOrcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about the recordings of great tits, blue tits, marsh tits and nuthatches discovering novel food patches in relation to manipulated local population densities (see 1a4dcbb3-c4fb-4bd4-acb3-d03932de9323). Prior to and during the density manipulation experiment, novel feeders were placed at random locations and the discovery of these was recorded using a Passive Integrated Transponder (PIT) tag attached to each bird and the information recorded using a Radio Frequency Identification (RFID) antenna within the feeder. The experiment took place in Wytham Woods, Oxfordshire, UK between January and March 2021, as part of a study on the effects of ecological factors on social structure and information transmission. Data collection was performed by Keith McMahon, Sam Croft and Kristina Beck. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1), The ecology of behavioural contagion in natural systems. ","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"e250ae89-2e1f-4664-9092-5a8593d50fdf","incomingCitationCount":0,"keyword":["Animal behaviour","ornithology","experiment","patch discovery"],"keywordsOther":["ornithology","experiment","patch discovery"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Automated bird feeders were used to collect the described data. Each of the feeders had one access hole with a clear flap and an inbuilt Radio Frequency Identification (RFID) antenna within the perch. All birds equipped with a Passive Integrated Transponder (PIT) tag that landed on the perch were recorded, and the time and date of visits stored on a secure digital (SD) card. Feeders were visited every two to three days, to refill food, check feeder performance and collect data. For the final dataset, erroneous recordings (e.g. entries with a wrong date or tag number) were removed. Data are provided as comma separated value file for deposit into the EIDC.","locations":["POLYGON((-1.347 51.762, -1.347 51.781, -1.316 51.781, -1.316 51.762, -1.347 51.762))"],"metadataDate":"2026-07-25T14:47:51.000Z","orcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-2689-946X","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e250ae89-2e1f-4664-9092-5a8593d50fdf","10.5285/e250ae89-2e1f-4664-9092-5a8593d50fdf","doi:10.5285/e250ae89-2e1f-4664-9092-5a8593d50fdf"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the recordings of great tits, blue tits, marsh tits and nuthatches discovering novel food patches in relation to manipulated local population densities (see 1a4dcbb3-c4fb-4bd4-acb3-d03932de9323). Prior to and during the density…","state":"published","temporalExtentText":"Data collected from 2020 to 2021","title":"Recordings of the discovery of novel food patches in common woodland birds in Wytham Woods, Oxfordshire, UK 2021","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Durham University"],"authorFamilyName":["Scarpa","Aftab","Leppert"],"authorFullName":["Scarpa, R.","Aftab, A.","Leppert, D.J."],"authorGivenName":["R.","A.","D. J."],"authorOrcid":["0000-0001-6449-5389","0000-0001-6381-5264","0000-0003-1590-8364"],"authorRor":["https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains responses from an online choice experiment with associated socio-economic covariates on the topic of environmental land management schemes. Sample: 348 farmers based in the north of England in 2022.","documentType":"GEMINI_DOCUMENT","familyName":["Scarpa","Aftab","Leppert"],"fullName":["Scarpa, R.","Aftab, A.","Leppert, D.J."],"funder":["Natural Environment Research Council"],"givenName":["R.","A.","D. J."],"grant":["NE/W007495/1"],"identifier":"1409404f-564f-43c5-81dd-00339a674dc8","incomingCitationCount":0,"keyword":["Discrete choice experiment","environmental land management","WTA to engage in nature conservation","agriculture"],"keywordsOther":["Discrete choice experiment","environmental land management","WTA to engage in nature conservation","agriculture"],"licence":"Open government licence","lineage":"a)\tSampling frame: Farms listed in electoral rolls in counties Cumbria, Durham, and Northumberland. \nb)\tInitial data from Qualtrics surveying software. Surveys were conducted via a combination of face-to-face and phone invitations to participate online. Complete responses were rewarded with a £50 bank transfer, for a 30-60 minute time commitment. \nc)\tFiltering complete and valid responses\nd)\tData cleaning in R to transform data into panel format and generating covariates.\ne)\tLimitations: The rate of participation among targeted farmers was low and need not be entirely representative of the population due to self-selection.\n","locations":["POLYGON((-4.702 53.503, -4.702 55.641, 0.879 55.641, 0.879 53.503, -4.702 53.503))"],"metadataDate":"2026-07-24T19:09:54.000Z","orcid":["0000-0001-6449-5389","0000-0001-6381-5264","0000-0003-1590-8364"],"organisation":["Durham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-04-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1409404f-564f-43c5-81dd-00339a674dc8","10.5285/1409404f-564f-43c5-81dd-00339a674dc8","doi:10.5285/1409404f-564f-43c5-81dd-00339a674dc8"],"resourceType":"Dataset","rightsHolder":["Durham University"],"ror":["https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains responses from an online choice experiment with associated socio-economic covariates on the topic of environmental land management schemes. Sample: 348 farmers based in the north of England in 2022.","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Stated choices of hypothetical land management schemes from 348 farmers in the north of England and associated socio-economic covariates, 2022","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Montgomery","Wainwright"],"authorFullName":["Montgomery, S.","Wainwright, B.J."],"authorGivenName":["S.","B.J."],"authorOrcid":["0000-0002-5474-5695","0000-0003-3689-1725"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents taxonomic data, and neuropil volume measurements of sensory structures in the brains of wild caught ithomiini butterflies (Lepidoptera, Nymphalidae, Danainae), within a single community in Yasuní national park, Orellana Province, Ecuador, collected in 2011-2012. \n\nVariables measured include taxonomic detail, sex, mimicry ring, and the volumes of major sensory neuropils (the medulla, lobula plate, lobula, ventral lobula, accessory medulla, antennal lobe and anterior optic tubercule) and the central brain volume. \n\nThis dataset was created to examine how sensory environments shape investment in sensory brain centers in butterflies, as part of a NERC Independent Research Fellowship NE/N014936/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Montgomery","Wainwright"],"fullName":["Montgomery, S.","Wainwright, B.J."],"funder":["Natural Environment Research Council"],"givenName":["S.","B.J."],"grant":["NE/N014936/2"],"identifier":"8056bba1-8370-4d2b-b537-018c79c8acb0","incomingCitationCount":0,"keyword":["Biodiversity","Lepidoptera","brain","brain volume","butterflies","ithomiini","neuropil","optic lobe"],"keywordsOther":["Lepidoptera","brain","brain volume","butterflies","ithomiini","neuropil","optic lobe"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Samples were collected over two field seasons in 2011/12 in Yasuní National Park, Ecuador, fixed in situ and returned to the UK. Fixed samples were then stained with Anti-SYNORF as a primary antibody, cy2 as a secondary antibody, and imaged using confocal microscopy. \n\nThe resulting images, which highlight boundaries between brain regions, were then segmented using AMIRA software to quantify neuropil volumes. Please see supporting documentation for further detail.","locations":["POLYGON((-76.805 -1.56, -76.805 -0.401, -75.372 -0.401, -75.372 -1.56, -76.805 -1.56))"],"metadataDate":"2026-07-25T08:35:34.000Z","orcid":["0000-0002-5474-5695","0000-0003-3689-1725"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8056bba1-8370-4d2b-b537-018c79c8acb0","10.5285/8056bba1-8370-4d2b-b537-018c79c8acb0","doi:10.5285/8056bba1-8370-4d2b-b537-018c79c8acb0"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents taxonomic data, and neuropil volume measurements of sensory structures in the brains of wild caught ithomiini butterflies (Lepidoptera, Nymphalidae, Danainae), within a single community in Yasuní national park, Orellana Province, Ecuador, collected…","state":"published","temporalExtentText":"Data collected from 2011 to 2012","title":"Taxonomic data, brain, and neuropil volume measurements of Ithomiini butterflies, Orellana Province, Ecuador, 2011-2012","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Stanley","Antoniou","Askquith-Ellis","Ball","Bennett","Blake","Boorman","Brooks","Cirstet","Clarke","Cooper","Cowan","Cumming","Evans","Farrand","Fry","Harvey","Houghton-Carr","Howson","Jiménez-Arranz","Keen","Khamis","Leeson","Lord","Morrison","Nash","O'Callaghan","Retter","Rylett","Scarlett","Smith","St Quintin","Swain","Szczykulska","Teagle","Thornton","Trill","Vincent","Ward","Warwick","Winterbourn"],"authorFullName":["Stanley, S.","Antoniou, V.","Askquith-Ellis, A.","Ball, L.","Bennett, E.S.","Blake, J.R.","Boorman, D.B.","Brooks, M.","Cirstet, V.","Clarke, M.A.","Cooper, H.M.","Cowan, N.J.","Cumming, A.","Evans, J.G.","Farrand, P.","Fry, M.","Harvey, D.","Houghton-Carr, H.","Howson, T.","Jiménez-Arranz, G.","Keen, Y.","Khamis, D.","Leeson, S.","Lord, W.D.","Morrison, R.","Nash, G.V.","O'Callaghan, F.","Retter, A.","Rylett, D.","Scarlett, P.M.","Smith, R.J.","St Quintin, P.","Swain, O.","Szczykulska, M.","Teagle, S.","Thornton, J.L.","Trill, E.J.","Vincent, P.","Ward, H.C.","Warwick, A.C.","Winterbourn, J.B."],"authorGivenName":["S.","V.","A.","L.","E.S.","J.R.","D.B.","M.","M.A.","H.M.","N.J.","J.G.","P.","D.","H.","T.","G.","Y.","W.D.","R.","G.V.","F.","P.M.","R.J.","O.","J.L.","E.J.","H.C.","A.C.","J.B."],"authorOrcid":["0000-0002-8303-2969","0000-0001-6011-4075","0000-0002-0203-5958","0000-0001-7398-9268","0000-0002-1033-4712","0000-0002-6436-5266","0000-0002-7439-0393","0009-0001-5298-4756","0000-0002-1382-3407","0000-0002-7473-7916","0000-0001-5704-9006","0000-0003-4194-1416","0000-0003-1142-4039","0009-0003-9102-5413","0000-0002-9822-316X","0009-0004-4445-8272","0000-0003-2987-488X","0000-0002-1847-3127","0000-0003-1611-2042","0000-0002-7426-1153","0000-0002-6447-6740","0000-0002-5820-7093","0000-0002-8350-4823","0000-0002-6233-8942","0009-0006-0028-0956","0000-0001-8881-185X","0000-0002-1318-5281"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily and sub-daily hydrometeorological and soil moisture observations from the COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2025 . These data are from 51 sites across the UK recording a range of hydrometeorological and soil variables.\n\nEach site in the network records the following hydrometeorological and soil data at 30-minute resolution: Radiation (short wave, long wave, and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point sensors at various depths.\n\nEach site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), provide at daily resolution.\n\nThe presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted, and the snow water equivalent (SWE) is given.\n\nThe potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution.\n\nTwo levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data, indicating the reason for any missing data.\n\nThis work was supported by the Natural Environment Research Council award number NE/Y006208/1 as part of the UKCEH NC-UK programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Stanley","Antoniou","Askquith-Ellis","Ball","Bennett","Blake","Boorman","Brooks","Cirstet","Clarke","Cooper","Cowan","Cumming","Evans","Farrand","Fry","Harvey","Houghton-Carr","Howson","Jiménez-Arranz","Keen","Khamis","Leeson","Lord","Morrison","Nash","O'Callaghan","Retter","Rylett","Scarlett","Smith","St Quintin","Swain","Szczykulska","Teagle","Thornton","Trill","Vincent","Ward","Warwick","Winterbourn"],"fdriCategory":["Hydrology","Meteorology","Geology and soils"],"fdriSpatialScale":"National scale","fdriTimeseriesData":"Timeseries data","fullName":["Stanley, S.","Antoniou, V.","Askquith-Ellis, A.","Ball, L.","Bennett, E.S.","Blake, J.R.","Boorman, D.B.","Brooks, M.","Cirstet, V.","Clarke, M.A.","Cooper, H.M.","Cowan, N.J.","Cumming, A.","Evans, J.G.","Farrand, P.","Fry, M.","Harvey, D.","Houghton-Carr, H.","Howson, T.","Jiménez-Arranz, G.","Keen, Y.","Khamis, D.","Leeson, S.","Lord, W.D.","Morrison, R.","Nash, G.V.","O'Callaghan, F.","Retter, A.","Rylett, D.","Scarlett, P.M.","Smith, R.J.","St Quintin, P.","Swain, O.","Szczykulska, M.","Teagle, S.","Thornton, J.L.","Trill, E.J.","Vincent, P.","Ward, H.C.","Warwick, A.C.","Winterbourn, J.B.","Richard Smith"],"funder":["Natural Environment Research Council"],"givenName":["S.","V.","A.","L.","E.S.","J.R.","D.B.","M.","M.A.","H.M.","N.J.","J.G.","P.","D.","H.","T.","G.","Y.","W.D.","R.","G.V.","F.","P.M.","R.J.","O.","J.L.","E.J.","H.C.","A.C.","J.B."],"grant":["NE/Y006208/1"],"identifier":"dde10e2b-ee1a-4b2b-a247-176db2f7bb31","incomingCitationCount":0,"keyword":["Cosmic-ray soil moisture monitoring network (COSMOS)","Floods and Droughts Digital Research Infrastructure (FDRI)","Agriculture","Climate and climate change","Ecosystem services","Environmental survey","Hydrology","Land use","Soil","atmospheric humidity","air temperature","Atmospheric pressure","Cosmic-Ray sensing probe","Longwave radiation","Shortwave radiation","Net radiation","Potential evapotranspiration","Precipitation","Rainfall","Relative humidity","soil","soil moisture","Soil heat flux","Soil humidity","Soil temperature","Soil water content","Soil wetness","Volumetric water content (VWC)","Wind direction","Wind speed","Latent heat","Sensible heat","atmospheric precipitation","Meteorology","Geology and soils","National scale","Timeseries data"],"keywordsOther":["atmospheric humidity","air temperature","Atmospheric pressure","Cosmic-Ray sensing probe","Longwave radiation","Shortwave radiation","Net radiation","Potential evapotranspiration","Precipitation","Rainfall","Relative humidity","soil","soil moisture","Soil heat flux","Soil humidity","Soil temperature","Soil water content","Soil wetness","Volumetric water content (VWC)","Wind direction","Wind speed","Latent heat","Sensible heat","atmospheric precipitation","Hydrology","Meteorology","Geology and soils","National scale","Timeseries data"],"keywordsProject":["Cosmic-ray soil moisture monitoring network (COSMOS)","Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Agriculture","Climate and climate change","Ecosystem services","Environmental survey","Hydrology","Land use","Soil"],"licence":"Open government licence","lineage":"Hydrometeorological and soil observations are recorded at sites around the UK using an array of sensors. Every hour, the raw data collected is sent to UKCEH in Wallingford, where it is subject to quality control. Soil volumetric water content data are derived from 30-minute hydrometeorological data and data from the cosmic-ray sensing probe by Python scripts run every hour. The data are calculated using the method outlined in Evans et al., 2016 (https://doi.org/10.1002/hyp.10929), with enhancements to calculations of CRNS depth and radial weights based on Schrön et al., 2017 (https://doi.org/10.5194/hess-21-5009-2017). Snow water equivalents are derived by Python scripts at the end of the day from the hydrometeorological data according to Wallbank et al., 2020 (https://doi.org/10.1002/hyp.14048). Potential evapotranspiration data are derived by Python scripts at the end of the day from the hydrometeorological data according to the Penman-Monteith method, (FAO Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56). All data (including raw, quality controlled and derived) are saved in an Oracle database.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-01T14:32:55.000Z","orcid":["0000-0002-8303-2969","0000-0001-6011-4075","0000-0002-0203-5958","0000-0001-7398-9268","0000-0002-1033-4712","0000-0002-6436-5266","0000-0002-7439-0393","0009-0001-5298-4756","0000-0002-1382-3407","0000-0002-7473-7916","0000-0001-5704-9006","0000-0003-4194-1416","0000-0003-1142-4039","0009-0003-9102-5413","0000-0002-9822-316X","0009-0004-4445-8272","0000-0003-2987-488X","0000-0002-1847-3127","0000-0003-1611-2042","0000-0002-7426-1153","0000-0002-6447-6740","0000-0002-5820-7093","0000-0002-8350-4823","0000-0002-6233-8942","0009-0006-0028-0956","0000-0001-8881-185X","0000-0002-1318-5281"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dde10e2b-ee1a-4b2b-a247-176db2f7bb31","10.5285/dde10e2b-ee1a-4b2b-a247-176db2f7bb31","doi:10.5285/dde10e2b-ee1a-4b2b-a247-176db2f7bb31"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily and sub-daily hydrometeorological and soil moisture observations from the COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2025 . These data are from 51 sites across the UK recording a range of hydrometeorological…","state":"published","supplementalDescription":["Evans, J. G., Ward, H. C., Blake, J. R., Hewitt, E. J., Morrison, R., Fry, M., Ball, L. A., Doughty, L. C., Libre, J. W., Hitt, O. E., Rylett, D., Ellis, R. J., Warwick, A. C., Brooks, M., Parkes, M. A., Wright, G. M. H., Singer, A. C., Boorman, D. B., & Jenkins, A. (2016). Soil water content in southern England derived from a cosmic‐ray soil moisture observing system - COSMOS‐UK. Hydrological Processes, 30(26), 4987-4999.","Wallbank, J. R., Anderson, S. R., Cole, S. J., Moore, R. J., Wells, S. C. (2020). Deriving snow water equivalent using cosmic-ray neutron sensors from the COSMOS-UK network for modelling snowmelt floods. [abstract]","Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome, 300(9), D05109."],"supplementalName":["COSMOS-UK website"],"temporalExtentText":"Data collected from 2013 to 2025","title":"Daily and sub-daily hydrometeorological and soil moisture data (2013-2025) [COSMOS-UK]","topic":["0/Agriculture/","0/Climate and climate change/","0/Ecosystem services/","0/Environmental survey/","0/Hydrology/","0/Land use/","0/Soil/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Hull"],"authorFamilyName":["Delorme","Murphy","McLelland"],"authorFullName":["Delorme, P.","Murphy, B.J.","McLelland, S.J."],"authorGivenName":["P.","B.J.","S.J."],"authorOrcid":["0000-0002-5865-714X","0000-0002-1223-0917"],"authorRor":["https://ror.org/04nkhwh30"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the elevation data of a 10m long, 20cm wide experimental river. This river was generated in an experimental flume (Total Environment Simulator) of the University of Hull. This river was formed spontaneously by imposing water and sediment flux at the upstream boundary of a flat sand bed. This model doesn’t attempt to reproduce any natural river, it’s a generic model design to explore the influence of discharge variation on the river evolution. We regularly measure the topography of the experimental area to follow the evolution of the river width, depth, slope, and conveyance capacity. The elevation is measured in metres.  The associated table contains the experimental characteristics: time (seconds), water discharge (L/min), and morphological characteristics extracted from the DEM. This is the raw data, so the width is in pixels, the depth is in metres and the conveyance capacity is in metre pixel.","documentType":"GEMINI_DOCUMENT","familyName":["Delorme","Murphy","McLelland"],"fullName":["Delorme, P.","Murphy, B.J.","McLelland, S.J."],"funder":["Natural Environment Research Council"],"givenName":["P.","B.J.","S.J."],"grant":["NE/S015795/2"],"identifier":"7b2071d6-da02-4f48-a87e-ccab19a737bd","incomingCitationCount":0,"keyword":["Hydrology","Modelling","flood sequencing","morphological evolution","experimental rivers","elevation"],"keywordsOther":["flood sequencing","morphological evolution","experimental rivers","elevation"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"The data have been generated using a terrestrial laser scanner (Faro Focus X330). The laser scanner is in a fixed position above the experimental area. Seven targets (coordinates known) are erected in the area. Each scan is therefore reoriented using the location of the target, using the Faro software (Scene). We only accept scans with a re-orientation error lower than 0.5 mm. If the error is higher, we redo the scan.\n\nThe duration of a scan is about 10 minutes and the time between each scan depends on the experimental conditions (the exact duration between each scan can be found in the experimental data file).\n\nOnce the scan has been reoriented, we pre-process it using CloudCompare to select only the experimental area (remove the wall and instrument), we then convert this into a tiff file to analyse with python. \n\nThe scanner can’t see the surface under water, consequently we have to ensure that the experimental area is dry before we start scanning. If the surface is not dry the scan returns NaN values.\n","metadataDate":"2026-07-25T06:56:49.000Z","orcid":["0000-0002-5865-714X","0000-0002-1223-0917"],"organisation":["University of Hull","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7b2071d6-da02-4f48-a87e-ccab19a737bd","10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd","doi:10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/04nkhwh30","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the elevation data of a 10m long, 20cm wide experimental river. This river was generated in an experimental flume (Total Environment Simulator) of the University of Hull. This river was formed spontaneously by imposing water and sediment flux at…","state":"published","title":"Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University"],"authorFamilyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"authorFullName":["Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A."],"authorGivenName":["S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A."],"authorOrcid":["0000-0003-2750-7832","0000-0003-4649-0677","0000-0001-5645-3373","0000-0003-2869-0616","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of plant structural plant community measurements from fifteen sites located in the Conwy catchment (North Wales) and from two sites in North West England. Annual aboveground net primary productivity (NPP), canopy height (cht), bryophyte cover (Bcov), leaf dry matter content (LDMC), leaf mass area (LMA) and specific leaf area (SLA) were measured on the dominant plant species. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Plots within the sites were located using a stratified random sampling design. Plant trait values were taken from existing published databases or were directly measured in each plot for the two species contributing the highest percentage cover.\n\nNPP (grams of dry mass per square metre per year) was measured using a variety of methods according to the plant functional types present. SLA and LDMC was measured on site focussing on the dominant vascular plant species in each plot defined as the two species contributing maximum standing biomass in the year of sampling. Leaf area was calculated based on scanned photographs analysed using Image J software v1.46r.\n\nPlant parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model.\n\nMeasurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University.\nThis data was collected for the NERC project - The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"fullName":["Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A.","Smart, S."],"funder":["Natural Environment Research Council"],"givenName":["S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A.","Simon"],"grant":["NE/J011991/1"],"identifier":"8899768c-cc5a-4885-a88b-c08374ee568e","incomingCitationCount":2,"keyword":["North Wales ","Conwy Catchment ","North West England","Ingleborough","Turf2Surf ( T2S)","Macronutrient Cycling Programme (MCP)","Land use intensification gradient","Catchment scale","net primary productivity","aboveground net primary productivity","watershed","land use","canopy height","bryophytes cover","leaf dry matter content","specific leaf area","leaf mass area"],"keywordsOther":["Land use intensification gradient","Catchment scale","net primary productivity","aboveground net primary productivity","watershed","land use","canopy height","bryophytes cover","leaf dry matter content","specific leaf area","leaf mass area"],"keywordsPlace":["North Wales ","Conwy Catchment ","North West England","Ingleborough"],"keywordsProject":["Turf2Surf ( T2S)","Macronutrient Cycling Programme (MCP)"],"licence":"Open government licence","lineage":"At the seventeen sites measurements were made in plots ranging in size from 200 metres square to 0.5 metres square located using a stratified random sampling design. The species composition and percentage cover of all plant species was recorded in all plots.\n\nNPP (grams dry mass per metre squared per year) was measured on all dominant plant species at all sites between 2013 and 2014. Measurement of NPP varied according to the plant functional types present. These types comprised 'cool season' C3 graminoids (Poacaea, Junacaea, Cyperacaea), broadleaved and needle-leaved trees, dwarf shrubs, forbs and bryophytes. All plots were visited in early January at the start of each measurement year. Any green material and standing litter was removed by clipping to 1 cm vegetation height. In grazed systems (grasslands and mires) exclosures were installed and the vegetation cut twice throughout the growing season; first at estimated peak biomass and a second time to capture late summer and autumn regrowth. These two values were then summed. In ombrotrophic and minerotrophic peatlands, growth of Sphagnum species was measured over two years using the cranked wire method. Peatland graminoids were measured by harvesting annual biomass accumulation in exclosures over one year using the same methods applied to grazed grasslands. Annual productivity of dwarf shrub heath (Calluna vulgaris) was estimated from a growth curve built from total biomass harvests all carried out in October 2014 on the same ombrogenous mire plateau in the upper Conwy valley. Sampling was carried out across a chronosequence of stands of 5, 11 and 30 year-old Calluna.\n\nIn woodlands, different methods were used to measure annual production of trees; litter buckets for leaf litter fall, annual woody mass increment by combining tree-coring, DBH (tree diameter at 1.3 m), wood density and tree height measurements, herbaceous understorey growth by harvesting in one year after cutting back in January and the bryophyte layer by harvesting the moss mat that had grown through coarse plastic meshes of known size pegged securely onto the moss layer in early January and harvested after one year. Measurement of NPP was carried out using plots of varying dimensions scaled to the size of the plant types present but then expressed as production per square metre across all vegetation types.\n   \nFor plant traits in situ measurement of SLA and LDMC was carried out focussing on the dominant vascular plant species in each plot defined as the two species contributing maximum standing biomass in the year of sampling.  LDMC was measured by weighing fresh material consisting of between approximately 10 to several hundred leaves from different plants depending on the size of the leaves. Leaf material was stored in plastic boxes between dampened tissue paper and transported to the laboratory within 24 hours of harvesting. Leaves were then blotted dry and weighed fresh then dried for 24 hours at 80 degrees Celsius and weighed again. LDMC is expressed as g dry mass g-1 fresh mass. SLA was measured by sampling 10 leaves from different plants. Leaf area was calculated based on scanned photographs analysed using the Image J software v1.46r (See Supporting Information). Dry weight was measured as for LDMC. SLA is expressed as square millimetres per milligram of dry mass.\n\nLMA was determined on ten leaves that were scanned or photographed. The dry weight of these leaves was determined. The leaf area was analysed using the program Image J and LMA was calculated.\n\nFor plant species abundance in each NPP plot all vascular plant species and bryophytes were identified and cover estimated in intervals of 5 percent. Percentage cover was based on horizontal leaf projection over the plot so that total cover over all species was allowed to exceed 100. \n\nMean abundance-weighted trait values for SLA and LDMC were computed for each NPP sampling plot within each site using either the raw percentage cover or square-root transformed cover value for each species in each sample plot within each site. The trait values for each species in each sample plot and within site were based either on replicated measurements on the dominant plants in each plot or, if not dominants, then were extracted from the databases described above. The full details are available in the supporting documentations.\n\nAll results were entered into Excel spreadsheets. Results from all the analyses were combined into one Excel spreadsheet. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the EIDC.","locations":["POLYGON((-4.035 52.935, -4.035 54.201, -2.311 54.201, -2.311 52.935, -4.035 52.935))"],"metadataDate":"2026-07-25T08:40:06.000Z","orcid":["0000-0003-2750-7832","0000-0003-4649-0677","0000-0001-5645-3373","0000-0003-2869-0616","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8899768c-cc5a-4885-a88b-c08374ee568e","10.5285/8899768c-cc5a-4885-a88b-c08374ee568e","doi:10.5285/8899768c-cc5a-4885-a88b-c08374ee568e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of plant structural plant community measurements from fifteen sites located in the Conwy catchment (North Wales) and from two sites in North West England. Annual aboveground net primary productivity (NPP), canopy height (cht), bryophyte cover (Bcov),…","state":"published","supplementalDescription":["Guidance on the interpretation of the Biodiversity Broad Habitat Classification (terrestrial and freshwater types): Definitions and the relationship with other classifications (2000)","Chave, J., Coomes, D., Jansen, S., Lewis, S. L., Swenson, N. G. and Zanne, A. E. (2009), Towards a worldwide wood economics spectrum. Ecology Letters, 12: 351-366","Clymo, R. (1970). The Growth of Sphagnum: Methods of Measurement. Journal of Ecology, 58(1), 13-49. ","Coomes, DA, Allen, RB (2007) Effects of size, competition and altitude on tree growth. J.Ecol. 95, 1084-1097.","Kivimäki, S.K. (2011) Changes in carbon and nitrogen dynamics in Sphagnum capillifolium under enhanced nitrogen deposition. PhD thesis. University of Edinburgh.","Weiner, J, Thomas, SC (2001) The nature of tree growth and the \"Age-Related Decline in Forest Productivity\". Oikos 94, 374-376."],"supplementalName":["T2S website","Biodiversity Broad Habitat Classification"],"temporalExtentText":"Data collected from 2013 to 2014","title":"Plant structural measurements in North Wales and Northwest England 2013 and 2014","version":1.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"eidc","description":"The datasets generated by this project relate to the prevalence and abundance of antibiotic resistant bacteria and resistance genes in healthy adult humans, poultry and the outdoor environment in Bangladesh. Escherichia coli was used as a sentinel organism for antibiotic resistance. The aim of the project was to identify drivers of antibiotic resistance and pathways of transmission of resistance between the environment, animals and humans. The project ran from June 2016 to January 2019 and was carried out by researchers at Loughborough University in collaboration with the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b). The project was funded by the Antimicrobial Resistance Cross Council Initiative supported by the seven research councils in partnership with the Department of Health and Department for Environment Food & Rural Affairs, NERC award number NE/N019555/1.","documentType":"GEMINI_DOCUMENT","familyName":["Rousham"],"fullName":["Rousham, E.K."],"givenName":["E.K."],"identifier":"279c2e56-24fe-41d2-ab4c-eda1c1e8eae0","incomingCitationCount":0,"keyword":["Bangladesh","Mirzapur","Tangail","Dhaka","hygiene","disease transmission"],"keywordsPlace":["Bangladesh","Mirzapur","Tangail","Dhaka"],"keywordsTheme":["hygiene","disease transmission"],"licence":"Open government licence","locations":["POLYGON((89.819 23.282, 89.819 24.847, 91.082 24.847, 91.082 23.282, 89.819 23.282))"],"metadataDate":"2026-07-24T19:27:55.000Z","orcid":["0000-0001-5654-9279"],"organisation":["Loughborough University","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/279c2e56-24fe-41d2-ab4c-eda1c1e8eae0"],"resourceType":"Aggregation","ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"The datasets generated by this project relate to the prevalence and abundance of antibiotic resistant bacteria and resistance genes in healthy adult humans, poultry and the outdoor environment in Bangladesh. Escherichia coli was used as a sentinel organism for antibiotic…","state":"published","title":"Spatial and temporal dynamics of antimicrobial resistance transmission from the outdoor environment to humans in urban and rural Bangladesh","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Portsmouth"],"authorFamilyName":["Fuller","Smith","Ford"],"authorFullName":["Fuller, N.","Smith, J.T.","Ford, A.T."],"authorGivenName":["N.","J.T.","A.T."],"authorOrcid":["0000-0001-9486-6654","0000-0002-0808-2739","0000-0001-5202-546X"],"authorRor":["https://ror.org/03ykbk197"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise results of laboratory experiments assessing the impacts of beta radiation (phosphorus-32) on reproduction, development and DNA damage in a marine and freshwater crustacean species. All crustacean samples were collected either from Lock Lake, Portsmouth (marine crustacean Echinogammarus marinus) or from the River Ems, Emsworth (freshwater crustacean, Gammarus pulex). Laboratory experiments were conducted periodically from summer 2015 to autumn 2016 at the University of Portsmouth. The data are of use in elucidating the mechanisms and effects of low-dose ionising radiation on an important group of model organisms in radioecology. \n\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Ford"],"fullName":["Fuller, N.","Smith, J.T.","Ford, A.T."],"funder":["Natural Environment Research Council"],"givenName":["N.","J.T.","A.T."],"grant":["NE/L000393/1"],"identifier":"b70afb8f-0a2b-40e6-aecc-ce484256bbfb","incomingCitationCount":0,"keyword":["TRansfer - Exposure – Effects (TREE)","COMET","Radioecology","crustacean","Echinogammarus marinus","Gammarus pulex","animal reproduction","beta radiation","phosphorus-32","DNA","biological development"],"keywordsOther":["Radioecology","crustacean","Echinogammarus marinus","Gammarus pulex","animal reproduction","beta radiation","phosphorus-32","DNA","biological development"],"keywordsProject":["TRansfer - Exposure – Effects (TREE)","COMET"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Sperm quality data was ascertained using a LIVE/DEAD sperm viability kit on sperm suspensions obtained by dissection. DNA damage data was obtained using a modified comet assay method. ","locations":["POLYGON((-1.226 50.746, -1.226 51, -0.784 51, -0.784 50.746, -1.226 50.746))"],"metadataDate":"2026-07-29T12:13:43.000Z","orcid":["0000-0001-9486-6654","0000-0002-0808-2739","0000-0001-5202-546X"],"organisation":["University of Portsmouth","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b70afb8f-0a2b-40e6-aecc-ce484256bbfb","10.5285/b70afb8f-0a2b-40e6-aecc-ce484256bbfb","doi:10.5285/b70afb8f-0a2b-40e6-aecc-ce484256bbfb"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise results of laboratory experiments assessing the impacts of beta radiation (phosphorus-32) on reproduction, development and DNA damage in a marine and freshwater crustacean species. All crustacean samples were collected either from Lock Lake, Portsmouth…","state":"published","supplementalDescription":["This paper describes the software package that was used to calculate DNA damage in the associated dataset. "," This paper describes the methods used within this dataset to analyse embryo abnormalities within amphipods. "," Lacaze, E., Devaux, A., Mons, R., Bony, S., Garric, J., Geffard, A., & Geffard, O. (2011). DNA damage in caged Gammarus fossarum amphipods: A tool for freshwater genotoxicity assessment. Environmental Pollution, 159(6), 1682–1691. ","Fuller, N., Smith, J.T., Nagorskaya, L.L., Gudkov, D.I., & Ford, A.T. (2017). Does Chernobyl-derived radiation impact the developmental stability of Asellus aquaticus 30 years on? Science of The Total Environment, 576, 242–250","Fuller, N., Lerebours, A., Smith, J.T., & Ford, A.T. (2015). The biological effects of ionising radiation on Crustaceans: A review. Aquatic Toxicology, 167, 55-67. ","Fuller, N., Ford, A.T., Nagorskaya, L.L., Gudkov, D.I., & Smith, J.T. (2018). Reproduction in the freshwater crustacean Asellus aquaticus along a gradient of radionuclide contamination at Chernobyl. Science of The Total Environment, 628–629, 11-17."],"supplementalName":["Comet Assay Analysis","Embryo abnormality analysis","This paper documents the methods which were adapted to perform the comet assay on amphipod sperm","Report describing methods used within this dataset to analyse embryo abnormalities within amphipods"],"temporalExtentText":"Data collected from 2015 to 2016","title":"Effects of low-dose ionising radiation on reproduction and DNA damage in marine and freshwater amphipod crustaceans","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Plymouth","University of Twente"],"authorFamilyName":["Sgarabotto","Manzella","Raby"],"authorFullName":["Sgarabotto, A.","Manzella, I.","Raby, A."],"authorGivenName":["A.","I."],"authorOrcid":["0000-0002-4740-784X","0000-0001-7518-819X","0000-0002-8959-0080"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/006hf6230"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements from smart sensors and cameras monitoring the movement and interaction between two wooden dowels moving downstream in a flume. The following values in the x, y and z direction are provided: position, velocity, linear acceleration, angular velocity and filtered angular velocity. Three uniform flow conditions were tested, and the experiments were repeated about 30 times. ","documentType":"GEMINI_DOCUMENT","familyName":["Sgarabotto","Manzella","Raby"],"fullName":["Sgarabotto, A.","Manzella, I.","Raby, A."],"funder":["Natural Environment Research Council"],"givenName":["A.","I."],"identifier":"d176d0af-388b-4a7b-82ca-8fcc38a4ad5d","incomingCitationCount":0,"keyword":["smart sensor","wooden dowel","interactions","woody debris transport"],"keywordsOther":["smart sensor","wooden dowel","interactions","woody debris transport"],"licence":"Open government licence","lineage":"Each wooden dowel was hollow, and a sensor equipped with an accelerometer, a gyroscope, and a magnetometer was installed within the longitudinal borehole of each one. One dowel was painted red and the other yellow. The experiments were recorded from above by two cameras with a 4K resolution and a frame rate of 30 fps. The accelerometer and gyroscope had an acquisition frequency set at 14.9 Hz, whereas the magnetometer recorded at 5 Hz.\n\nThe data were processed and saved in two separate CSV files, one for each dowel and each experiment. First, the cameras were calibrated and the images were rectified. Then, each sensor was calibrated and the orientation angles were computed. The gravity effects were compensated for to compute the linear acceleration. Lastly, a linear Kalman filter was used to computer more reliable linear acceleration, velocity and position values. More details are available in the ReadMe.docx.\n","metadataDate":"2026-07-25T14:17:35.000Z","orcid":["0000-0002-4740-784X","0000-0001-7518-819X","0000-0002-8959-0080"],"organisation":["University of Plymouth","University of Twente","NERC EDS Environmental Information Data Centre","University of Exeter","University of East Anglia"],"publicationDate":"2023-11-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d176d0af-388b-4a7b-82ca-8fcc38a4ad5d","10.5285/d176d0af-388b-4a7b-82ca-8fcc38a4ad5d","doi:10.5285/d176d0af-388b-4a7b-82ca-8fcc38a4ad5d"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Plymouth","University of Exeter","University of East Anglia"],"ror":["https://ror.org/008n7pv89","https://ror.org/006hf6230","https://ror.org/04xw4m193","https://ror.org/03yghzc09","https://ror.org/026k5mg93"],"shortenedDescription":"This dataset contains measurements from smart sensors and cameras monitoring the movement and interaction between two wooden dowels moving downstream in a flume. The following values in the x, y and z direction are provided: position, velocity, linear acceleration,…","state":"published","title":"Smart sensor data from tracking the interactions between two wooden dowels travelling along a flume in laboratory experiments","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Leeds","INRAE","Pontifical Catholic University of Ecuador","University of Alaska Southeast","University of Essex","Oakland University"],"authorFamilyName":["Fell","Carrivick","Cauvy-Fraunié","Crespo-Pérez","Hood","Randall","Matthews Nicholass","Tiegs","Dumbrell","Brown"],"authorFullName":["Fell, S.","Carrivick, J.L.","Cauvy-Fraunié, S.","Crespo-Pérez, V.","Hood, E.","Randall, K.C.","Matthews Nicholass, K.J.","Tiegs, S.D.","Dumbrell, A.J.","Brown, L.E."],"authorGivenName":["S. ","J. L.","S.","V.","E.","K. C.","K. J.","S. D.","A. J.","L. 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It includes: \n1) physicochemical parameters of the river sites sampled,\n2) tensile-strength loss data of a standardised cotton strip assay as a proxy for the decomposition of cellulose in mountain rivers, \n3) molecular next generation sequencing data of the fungal Internal Transcribed Spacer region (ITS) and Cellobiohydrolase I gene (cbhI) sampled from the cotton strip decomposition assay.\n\nField observations were made in Alaska, Austria, Ecuador, France, New Zealand and Norway to investigate how decreasing catchment glacier cover influences the fungal decomposition of organic matter in mountain rivers.  \n","documentType":"GEMINI_DOCUMENT","familyName":["Fell","Carrivick","Cauvy-Fraunié","Crespo-Pérez","Hood","Randall","Matthews Nicholass","Tiegs","Dumbrell","Brown"],"fullName":["Fell, S.","Carrivick, J.L.","Cauvy-Fraunié, S.","Crespo-Pérez, V.","Hood, E.","Randall, K.C.","Matthews Nicholass, K.J.","Tiegs, S.D.","Dumbrell, A.J.","Brown, L.E."],"givenName":["S. ","J. L.","S.","V.","E.","K. C.","K. J.","S. D.","A. J.","L. E."],"identifier":"fec704d2-ee6a-427b-9345-850dd96ff1b4","incomingCitationCount":0,"keyword":["Next generation sequencing","qPCR","Cellobiohydrolase I (cbhI)","Cotton-strip assay","Mountain rivers","Decomposition assay","Tensile-strength data","NGS data","Physicochemical data"],"keywordsOther":["Next generation sequencing","qPCR","Cellobiohydrolase I (cbhI)","Cotton-strip assay","Mountain rivers","Decomposition assay","Tensile-strength data","NGS data","Physicochemical data"],"licence":"Open government licence","lineage":"In the field, physicochemical parameters were obtained using a combination of in-situ probe measurements and geomorphological assessment, alongside collection of river water for ex-situ determination of some variables. A standardised cellulose (cotton strip) decomposition assay was deployed at each river site. In the laboratory, a tensiometer (University of Leeds) was used to determine the tensile-strength loss for incubated and control cotton strips, as a proxy for the decomposition of cellulose. Tensile-strength loss values were standardised by days of incubation and water temperature. DNA was extracted from subsamples of the cotton strips and next generation sequencing (qPCR, PCR) (University of Essex) performed to estimate the abundance of fungi (ITS), subgroups of fungi (saprotrophs, Ascomycota, Tetracladium) and a fungal gene (cbhI). Molecular data was subjected to quality control prior to taxonomic classification and assignment of trophic mode.  ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T18:12:13.000Z","orcid":["0000-0001-5753-276X","0000-0002-9286-5348","0000-0001-8600-0519","0000-0002-8811-1965","0000-0001-6114-417X","0000-0003-0497-0779","0000-0003-0271-7622","0000-0003-1660-5816","0000-0001-6282-3043"],"organisation":["University of Leeds","INRAE","Pontifical Catholic University of Ecuador","University of Alaska Southeast","University of Essex","Oakland University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fec704d2-ee6a-427b-9345-850dd96ff1b4","10.5285/fec704d2-ee6a-427b-9345-850dd96ff1b4","doi:10.5285/fec704d2-ee6a-427b-9345-850dd96ff1b4"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/02y8nb297","https://ror.org/02nkf1q06","https://ror.org/01ythxj32","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information regarding mountain river sites sampled in 2016-17. It includes: \n1) physicochemical parameters of the river sites sampled,\n2) tensile-strength loss data of a standardised cotton strip assay as a proxy for the decomposition of cellulose…","state":"published","temporalExtentText":"Data collected from 2016 to 2017","title":"Global river cellulose decomposition assay data 2016-17","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Exeter","University of St Andrews"],"authorFamilyName":["Hill","Chocholek"],"authorFullName":["Hill, T.C.","Chocholek, M."],"authorGivenName":["T.C.","M"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The meteorological data describes the air and soil temperatures, net radiation balance, down-welling photosynthetically active radiation, wind speed, wind direction and the vapour pressure deficit.\n\nData collection was carried out at Abbotts Hall marsh from the 15th of December 2012 till the 27th of January 2015. The Abbotts Hall site is in Essex, South East England, and the meteorological tower was situated in the middle of the marsh. \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.\n","documentType":"GEMINI_DOCUMENT","familyName":["Hill","Chocholek"],"fullName":["Hill, T.C.","Chocholek, M.","Hill, T."],"funder":["Natural Environment Research Council"],"givenName":["T.C.","M","Tim"],"grant":["NE/J015644/1"],"identifier":"dd2f7d23-6f11-4053-bc18-3cf2431c1963","incomingCitationCount":0,"keyword":["Essex","United Kingdom","BESS","CBESS","relative humidity","vapour pressure deficit (VPD)","photosynthetically active radiation (PAR)","net radiation","air","wind direction","wind speed","wind","soil","radiation","salt marsh","atmospheric precipitation","atmospheric humidity","temperature","meteorological parameter"],"keywordsOther":["relative humidity","vapour pressure deficit (VPD)","photosynthetically active radiation (PAR)","net radiation","air","wind direction","wind speed","wind","soil","radiation","salt marsh","atmospheric precipitation","atmospheric humidity","temperature","meteorological parameter"],"keywordsPlace":["Essex","United Kingdom"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"Measurements are recorded on Campbell Scientific (CS) dataloggers. The wind direction and wind speed are measured at 10 Hz by a CS CSAT3A anemometer install at 4.3 m on a lattice tower by a CS CR3000 datalogger. The remaining variables are record at 1/60 Hz (i.e. every minute) by a CS CR1000 with multiplexer. Air temperature and humidity is measured with Vaisala HMP155A and then converted to Vapour Pressure deficit (VPD). Precipitation is record by an Environmental Measurements Limited (EML) ARG100 tipping bucket rain gauge. Net radiation is measured with a Kipp and Zonen NR Lite. \n\nPhotosynthetically active radiation (PAR) is measured with a Skye Instruments SKP215. Soil temperatures are measured with CS 107 thermistors.\nMean half hourly values were calculated in Matlab. The time refers to the middle of the half hourly period. E.g. 00:15 refers to the half hour from (and including) 00:00 up to (but not including) 00:30.\n","locations":["POLYGON((0.859 51.783, 0.859 51.791, 0.873 51.791, 0.873 51.783, 0.859 51.783))"],"metadataDate":"2026-09-15T08:43:26.000Z","organisation":["University of Exeter","University of St Andrews","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd2f7d23-6f11-4053-bc18-3cf2431c1963","10.5285/dd2f7d23-6f11-4053-bc18-3cf2431c1963","doi:10.5285/dd2f7d23-6f11-4053-bc18-3cf2431c1963"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"The meteorological data describes the air and soil temperatures, net radiation balance, down-welling photosynthetically active radiation, wind speed, wind direction and the vapour pressure deficit.\n\nData collection was carried out at Abbotts Hall marsh from the 15th…","state":"published","temporalExtentText":"Data collected from 2012 to 2015","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) meteorological data from Abbotts Hall, Essex","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Winfield","Fletcher"],"authorFullName":["Winfield, I.J.","Fletcher, J.M."],"authorGivenName":["I.J.","J.M."],"authorOrcid":["0000-0001-9296-5114","0000-0002-8788-8449"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of inshore surface water temperature (degrees C) data on Windermere. Data collection began in 1933, but it presented here from 1944 onwards. The data were initially collected by the Freshwater Biological Association (FBA), then by the UK Centre for Ecology & Hydrology (UKCEH) and its predecessor [the Institute of Freshwater Ecology (IFE)] from 1989 to 2003, and subsequently again by FBA.","documentType":"GEMINI_DOCUMENT","familyName":["Winfield","Fletcher"],"fullName":["Winfield, I.J.","Fletcher, J.M.","Winfield, I."],"givenName":["I.J.","J.M.","Ian"],"identifier":"9520664c-eb4d-4700-b064-5d215d23e595","incomingCitationCount":2,"keyword":["Windermere","Lake district","lake"],"keywordsOther":["lake"],"keywordsPlace":["Windermere","Lake district"],"licence":"Non-Open government licence","lineage":"The data were initially collected by the Freshwater Biological Association (FBA), then by CEH and its predecessor Institute of Freshwater Ecology (IFE) from 1989 to 2003, and subsequently again by FBA.  For further information, refer to the supporting documentation.","locations":["POLYGON((-2.99 54.26, -2.99 54.44, -2.91 54.44, -2.91 54.26, -2.99 54.26))"],"metadataDate":"2026-07-25T10:18:38.000Z","orcid":["0000-0001-9296-5114","0000-0002-8788-8449"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-09-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1377850995377","CEH:EIDC::1377850995377","https://catalogue.ceh.ac.uk/id/9520664c-eb4d-4700-b064-5d215d23e595","10.5285/9520664c-eb4d-4700-b064-5d215d23e595","doi:10.5285/9520664c-eb4d-4700-b064-5d215d23e595"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of inshore surface water temperature (degrees C) data on Windermere. Data collection began in 1933, but it presented here from 1944 onwards. The data were initially collected by the Freshwater Biological Association (FBA), then by the UK Centre…","state":"published","temporalExtentText":"Data collected from 1944 to 2002","title":"Windermere lake temperature data 1944-2002","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Northumbria University","Laboratory of Space Geophysical and Oceanographic Studies (LEGOS)"],"authorFamilyName":["Westoby","Berthier"],"authorFullName":["Westoby, M.","Berthier, E."],"authorGivenName":["M.","E."],"authorOrcid":["0000-0002-2070-5580","0000-0001-5978-9155"],"authorRor":["https://ror.org/049e6bc1","https://ror.org/02chvqy57"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","PNG"],"description":"These data are digital elevation models which describe landscape topography. The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. The data were used as standalone datasets to support this analysis, but also supported numerical modelling using CAESAR-Lisflood (see data collection). The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode. They are a geospatial dataset created in raster (.tif) format. They are most commonly imported into GIS software, where they can be analysed or support other forms of geospatial analysis.","documentType":"GEMINI_DOCUMENT","familyName":["Westoby","Berthier"],"fullName":["Westoby, M.","Berthier, E."],"funder":["Natural Environment Research Council"],"givenName":["M.","E."],"identifier":"5a1eaef4-9211-4227-a017-d20b08be5784","incomingCitationCount":0,"keyword":["Himalaya","digital elevation model","GIS","remote sensing"],"keywordsOther":["digital elevation model","GIS","remote sensing"],"keywordsPlace":["Himalaya"],"licence":"Open government licence","lineage":"The DEMs were created from CNES/Airbus Pléiades-HR stereo satellite imagery captured in along-track mode on the dates provided in section 1.4 of the supporting documentation. To generate new DEMs at 2 m grid resolution we used a block matching algorithm implemented in the open-source NASA Ames Stereo Pipeline (version v2.6.2_post). We registered the new DEMs to an existing composite DEM dated to September 2015 using the demcoreg toolbox. We also clipped and re-aligned an existing post-event DEM dated 10 February 2021 to the same September 2015 DEM. 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The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. The data were used as standalone…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":"High-resolution (2 metre) digital elevation models of landscape affected by the Chamoli ice-debris flow, India, February 2021","version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of East Anglia"],"authorFamilyName":["Yu"],"authorFullName":["Yu, D.W."],"authorGivenName":["D.W."],"authorOrcid":["0000-0001-8551-5609"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Plain text"],"description":"This dataset contains information about the locations and local environmental conditions of 123 Malaise trap samples collected in November-December 2021 in the 908 km2 forested ‘leakage belt’ buffer zone of the Gola Rainforest National Park (GRNP) in eastern Sierra Leone, where cocoa, a driver of deforestation, is the main cash crop. Each trap was set out for five days with >99% ethanol. The samples were transported from Sierra Leone to the UK, where they have been sent for metabarcoding for arthropods (using Leray2 PCR primers). \n\nThe work was supported by the Natural Environment Research Council (Grant NE/S014063/1).","documentType":"GEMINI_DOCUMENT","familyName":["Yu"],"fullName":["Yu, D.W."],"funder":["Natural Environment Research Council"],"givenName":["D.W."],"grant":["NE/S014063/1"],"identifier":"161315e4-71c1-481d-906c-149ab2e9705c","incomingCitationCount":0,"keyword":["West Africa","Sierra Leone","Gola Rainforest National Park","Modelling","metabarcoding","environmental DNA","metagenomics","biodiversity indices","systematic conservation planning","machine learning","cocoa","joint species distribution modelling","DNA","conservation","arthropod","earth observation","modelling"],"keywordsOther":["metabarcoding","environmental DNA","metagenomics","biodiversity indices","systematic conservation planning","machine learning","cocoa","joint species distribution modelling","DNA","conservation","arthropod","earth observation","modelling"],"keywordsPlace":["West Africa","Sierra Leone","Gola Rainforest National Park"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"This file came into being from handwritten field datasheets from when we set out the Malaise traps. To ensure accurate recording and labelling of samples, all handwritten field sheets were transcribed to a spreadsheet on the day of collection, while sites were still fresh in the memory, and samples were clearly and multiply labelled before handing over to the sequencing service. ","locations":["POLYGON((-12.041 6.872, -12.041 10.012, -10.25 10.012, -10.25 6.872, -12.041 6.872))"],"metadataDate":"2026-09-15T08:38:41.000Z","orcid":["0000-0001-8551-5609"],"organisation":["University of East Anglia","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/161315e4-71c1-481d-906c-149ab2e9705c","10.5285/161315e4-71c1-481d-906c-149ab2e9705c","doi:10.5285/161315e4-71c1-481d-906c-149ab2e9705c"],"resourceType":"Dataset","rightsHolder":["University of East Anglia"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the locations and local environmental conditions of 123 Malaise trap samples collected in November-December 2021 in the 908 km2 forested ‘leakage belt’ buffer zone of the Gola Rainforest National Park (GRNP) in eastern Sierra…","state":"published","supplementalName":["NCBI Short Read Archive Reviewer Link to for the amplicon sequence data"],"temporalExtentText":"Data collected from 2021 to 2021","title":"Environmental and location data for Malaise trap samples in the leakage belt of the Gola Rainforest National Park, Sierra Leone, November to December 2021","topic":["0/Modelling/"],"version":1.0,"view":["public","hajd"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=10"}