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Hydrology"],"authorFamilyName":["Dunn","Wanless","Harris","Newell","Bogdanova","Daunt"],"authorFullName":["Dunn, R.E.","Wanless, S.","Harris, M.P.","Newell, M.A.","Bogdanova, M.I.","Daunt, F."],"authorGivenName":["R.E.","S.","M.P.","M.A.","M.I.","F."],"authorOrcid":["0000-0003-0927-2734","0000-0002-2788-4606","0000-0002-4723-175X","0000-0003-3360-1059","0000-0003-4638-3388"],"authorRor":["https://ror.org/04f2nsd36","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains energy expenditure, sea surface temperature, foraging activity, day length, longitude, latitude, distance from the coastline and mass data from 17 common guillemots (Uria aalge) from the Isle of May during the 2016-2017 annual cycle. ","documentType":"GEMINI_DOCUMENT","familyName":["Dunn","Wanless","Harris","Newell","Bogdanova","Daunt"],"fullName":["Dunn, R.E.","Wanless, S.","Harris, M.P.","Newell, M.A.","Bogdanova, M.I.","Daunt, F."],"funder":["Natural Environment Research Council"],"givenName":["R.E.","S.","M.P.","M.A.","M.I.","F."],"grant":["NE/R016429/1"],"identifier":"1cc5dcdb-e894-4973-a5b5-7a38a6cfc770","incomingCitationCount":0,"keyword":["Isle of May","Common guillemot","Energy expenditure","Full annual cycle","Seabird","Uria aalge"],"keywordsOther":["Common guillemot","Energy expenditure","Full annual cycle","Seabird","Uria aalge"],"keywordsPlace":["Isle of May"],"licence":"Open government licence","lineage":"Data have been collected by Centre for Ecology and Hydrology (CEH) staff on the May National Nature Reserve, Scotland (5611’N, 02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 the Isle of May Long-term Study, global location sensing (GLS) devices are regularly deployed and retrieved. From GLS data collected during the 2016-2017 annual cycle, we derived daily data on guillemot foraging activity (hours spent foraging), sea surface temperature values (SST; recorded by the bird-borne loggers), energy expenditure, location fixes and the number of daylight hours. Data on bird mass were obtained by weighing the birds with a Pesola spring balance at logger development and retrieval.\n\nThe full methodology is available in the Supporting Information document attached to this record. \n","locations":["POLYGON((-2.582 56.174, -2.582 56.198, -2.535 56.198, -2.535 56.174, -2.582 56.174))"],"metadataDate":"2026-09-15T08:38:45.000Z","orcid":["0000-0003-0927-2734","0000-0002-2788-4606","0000-0002-4723-175X","0000-0003-3360-1059","0000-0003-4638-3388"],"organisation":["Lancaster University","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-04-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1cc5dcdb-e894-4973-a5b5-7a38a6cfc770","10.5285/1cc5dcdb-e894-4973-a5b5-7a38a6cfc770","doi:10.5285/1cc5dcdb-e894-4973-a5b5-7a38a6cfc770"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04f2nsd36","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains energy expenditure, sea surface temperature, foraging activity, day length, longitude, latitude, distance from the coastline and mass data from 17 common guillemots (Uria aalge) from the Isle of May during the 2016-2017 annual cycle. ","state":"published","temporalExtentText":"Data collected from 2016 to 2017","title":"Activity, energy expenditure and mass data from common guillemots from the Isle of May during the 2016-2017 annual cycle","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rennie","Morecroft","Pallett","Schafer","Taylor"],"authorFullName":["Rennie, S.","Morecroft, M.","Pallett, D.","Schafer, S.","Taylor, M."],"authorGivenName":["S.","M.","D."],"authorOrcid":["0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The Environmental Change Network (ECN) coarse-grain and woodland protocols were used to assess the vegetation within the deer exclosure plots at the ECN Wytham site.  In the ECN coarse-grain protocol, 2m x 2m plots are randomly selected on the site.  Species presence is recorded in each of the 25 40cm x 40cm cells within the plots.\n  \nIn the ECN woodland protocol seedlings, diameter at breast height (dbh), tree height and dominance are recorded in 10m x 10m plots. 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","Morecroft","Pallett","Schafer","Taylor"],"fullName":["Rennie, S.","Morecroft, M.","Pallett, D.","Schafer, S.","Taylor, M."],"givenName":["S.","M.","D."],"identifier":"3ff83bf2-4864-4a7c-9ec0-df1811a99a71","incomingCitationCount":0,"keyword":["Wytham","Environmental survey"],"keywordsPlace":["Wytham"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). 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((-1.353 51.755, -1.353 51.787, -1.301 51.787, -1.301 51.755, -1.353 51.755))"],"metadataDate":"2026-09-02T15:08:59.000Z","orcid":["0000-0002-0027-0436"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ff83bf2-4864-4a7c-9ec0-df1811a99a71","10.5285/3ff83bf2-4864-4a7c-9ec0-df1811a99a71","doi:10.5285/3ff83bf2-4864-4a7c-9ec0-df1811a99a71"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Environmental Change Network (ECN) coarse-grain and woodland protocols were used to assess the vegetation within the deer exclosure plots at the ECN Wytham site.  In the ECN coarse-grain protocol, 2m x 2m plots are randomly selected on the site.  Species presence…","state":"published","temporalExtentText":"Data collected from 1997 to 2008","title":"Environmental Change Network (ECN)  Wytham deer exclosure experiment: 1997-2008","topic":["0/Environmental survey/"],"version":1.0,"view":["public","dgwr"]},{"availability":"Unknown","catalogue":"eidc","description":"The Environmental Change Network (ECN) is the UK's long-term, integrated environmental monitoring and research programme. They collect, analyse and interpret a wide range of long-term data from a network of sites. ECN's physical, chemical and biological datasets - some spanning two decades - are a unique national resource that is improving our understanding of how and why environments change.\n\nThe Environmental Change Network is a partnership between 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.  Data are sent to the ECN Data Centre, where they are checked and made freely available for research, education and other non-commercial purposes.\n\nECN also works with a wide range of other research organisations and takes a lead role in the development of long-term ecosystem research (LTER). ECN is the UK node of the International Long-Term Ecological Research Network (ILTER) and its European regional network (LTER-Europe).","documentType":"GEMINI_DOCUMENT","identifier":"4971bce4-8a81-4e23-9637-7fcff37c5f21","incomingCitationCount":0,"keyword":["UK","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Yr Wyddfa - Snowdon","Cairngorms","Eden (Cumbria)","Esk","Coquet","Exe","Wye","Lathkill","Cringle","Frome","Bradgate Brook","Bure","Old Lodge","Stinchar","Lower Clyde","Allt a'Mharcaidh","Spey at Fochabers","Tweed at Galafoot","Eden (Fife)","Cree","Faughan","Garvary","Bush","Trout Beck","Coln","Lambourn","Eden (Kent)","Ewe","Birnie Burn","Owenkillew River","Nant Teyrn","Upton Broad","Hickling Broad","Wroxham Broad","Windermere","Esthwaite","Loch Leven","Scoat Tarn","Llyn Llagi","Lochnagar","Loch Lomond","Loch Katrine","Loch Davan","Loch Kinord","Loch Dee","Lough Neagh","Lough Erne","meteorology","atmospheric nitrogen dioxide chemistry","precipitation chemistry","soil solution chemistry","surface water chemistry","surface water discharge","Vertebrates","bats","birds","rabbites","invertebrates","moths","frogs","butterflies","ground predators","carabid beetles","spittle bugs","land use","phytoplankton","aquatic macrophytes","epithilic diatoms","crustacean zooplankton","macro-invertebrates","long-term monitoring","vegetation","surface water","soils","integrated monitoring","LTER","ILTER","Parr section"],"keywordsOther":["meteorology","atmospheric nitrogen dioxide chemistry","precipitation chemistry","soil solution chemistry","surface water chemistry","surface water discharge","Vertebrates","bats","birds","rabbites","invertebrates","moths","frogs","butterflies","ground predators","carabid beetles","spittle bugs","land use","phytoplankton","aquatic macrophytes","epithilic diatoms","crustacean zooplankton","macro-invertebrates","long-term monitoring","vegetation","surface water","soils","integrated monitoring","LTER","ILTER","Parr section"],"keywordsPlace":["UK","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Yr Wyddfa - Snowdon","Cairngorms","Eden (Cumbria)","Esk","Coquet","Exe","Wye","Lathkill","Cringle","Frome","Bradgate Brook","Bure","Old Lodge","Stinchar","Lower Clyde","Allt a'Mharcaidh","Spey at Fochabers","Tweed at Galafoot","Eden (Fife)","Cree","Faughan","Garvary","Bush","Trout Beck","Coln","Lambourn","Eden (Kent)","Ewe","Birnie Burn","Owenkillew River","Nant Teyrn","Upton Broad","Hickling Broad","Wroxham Broad","Windermere","Esthwaite","Loch Leven","Scoat Tarn","Llyn Llagi","Lochnagar","Loch Lomond","Loch Katrine","Loch Davan","Loch Kinord","Loch Dee","Lough Neagh","Lough Erne"],"licence":"Non-Open government licence","lineage":"Data are collected according to standardised protocols and are subject to validation ","locations":["POLYGON((-14.28 49.5, -14.28 60.95, 5.8903 60.95, 5.8903 49.5, -14.28 49.5))"],"metadataDate":"2026-07-24T21:18:55.000Z","organisation":["UK Environmental Change Network"],"publicationDate":"2009-07-29T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4971bce4-8a81-4e23-9637-7fcff37c5f21"],"resourceType":"Aggregation","shortenedDescription":"The Environmental Change Network (ECN) is the UK's long-term, integrated environmental monitoring and research programme. They collect, analyse and interpret a wide range of long-term data from a network of sites. ECN's physical, chemical and biological datasets - some…","state":"published","title":"Environmental Change Network (ECN) data holdings","version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"This data collection two data resources.\nThe first contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts:\n- Greater Glasgow conurbation, Scotland\n- Cumbria, NW England\n- Norfolk, E England.\n\nThe data were collected to investigate the fine scale connectivity between Faecal Indicator Organisms (FIO) densities within water bodies and diffuse and point source inputs from the adjacent catchment and from biological vectors. They also provide an indication of the relative sources of variation in reported concentrations that is relevant for environmental regulatory purposes.\n\nThe second data resource contains information about water quality based on faecal indicators at 15 lakes in the Greater Glasgow conurbation, Scotland. The data resource also contains contextual information about water quality, water bird densities, and land cover in different buffer sizes is also provided for each lake. The data were collected to investigate how connectivity and stressors interact to determine biodiversity and ecosystem function in freshwaters.\n\nThe work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats)","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N006437/1"],"identifier":"f93fa91a-bb42-4efb-b0d9-e7441fdc8d63","incomingCitationCount":0,"keyword":["Water Quality","Connectivity","faecal indicators","spatial variation","Microbiology"],"keywordsOther":["Microbiology"],"keywordsTheme":["Water Quality","Connectivity","faecal indicators","spatial variation"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:42:27.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f93fa91a-bb42-4efb-b0d9-e7441fdc8d63"],"resourceType":"Aggregation","shortenedDescription":"This data collection two data resources.\nThe first contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts:\n- Greater Glasgow conurbation, Scotland\n- Cumbria, NW England\n- Norfolk, E England.\n\nThe data were…","state":"published","title":"Faecal indicator data from lakes in Greater Glasgow, Cumbria, and Norfolk, UK, 2016-2017","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Carter","Dodd","Keenan","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Dodd, B.A.","Keenan, P.O.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["H","H. T.","B A","P O","K","G","S J"],"authorOrcid":["0000-0002-2028-4843"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England, that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON),  soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. All data are from January 2024 until the end of 2024.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Carter","Dodd","Keenan","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Carter, H.T.","Dodd, B.A.","Keenan, P.O.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["H","H. T.","B A","P O","K","G","S J"],"grant":["NE/R016429/1 ","NE/Y006208/1"],"identifier":"a3cb5212-d174-400f-9775-4e2f699e91e3","incomingCitationCount":0,"keyword":["Climate and climate change","Environmental survey","Water quality","dissolved oxygen","freshwater monitoring","lake basin","phytoplankton"],"keywordsOther":["dissolved oxygen","freshwater monitoring","lake basin","phytoplankton"],"keywordsTheme":["Climate and climate change","Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortages.\n\n","locations":["POLYGON((-2.967 54.277, -2.967 54.354, -2.917 54.354, -2.917 54.277, -2.967 54.277))"],"metadataDate":"2026-07-25T13:17:34.000Z","orcid":["0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a3cb5212-d174-400f-9775-4e2f699e91e3","10.5285/a3cb5212-d174-400f-9775-4e2f699e91e3","doi:10.5285/a3cb5212-d174-400f-9775-4e2f699e91e3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England, that began in 1945 for some…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere South Basin, UK, 2024","topic":["0/Climate and climate change/","0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["The University of Manchester","Helmholtz Zentrum München, Germany","UK Centre for Ecology & Hydrology","Innsbruck University, Austria"],"authorFamilyName":["Broadbent","Snell","Michas","Pritchard","Newbold","Cordero","Goodall","Griffiths","Schloter","Bahn","Bardgett"],"authorFullName":["Broadbent, A.A.D.","Snell, H.S.K.","Michas, A.","Pritchard, W.J.","Newbold, L.","Cordero, I.","Goodall, T.","Griffiths, R.I.","Schloter, M.","Bahn, M.","Bardgett, R.D."],"authorGivenName":["A.A.D.","H.S.K.","A.","W.J.","L.","I.","T.","R.I.","M.","R.D."],"authorOrcid":["0000-0002-8438-7163"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise soil microbial and biogeochemical data collected during a snow manipulation experiment on the summit of Hohe Mut (2650 m) near Obergurgl, in the Austrian Alps (lat. 46.84862, long. 11.02957). \n\nSoil microbial data include phospholipid fatty acid (PLFA) analyses, and bacterial (16S Small subunit ribosomal RNA) and fungal (internal transcribed spacer region 2) high throughput sequences. Soil biogeochemical data include soil extracellular enzyme activities, soil pH, gravimetric moisture content and various C and N pools and fluxes.\n\nThe experiment was part of the NERC project NE/N009452/1. ","documentType":"GEMINI_DOCUMENT","familyName":["Broadbent","Snell","Michas","Pritchard","Newbold","Cordero","Goodall","Griffiths","Schloter","Bahn","Bardgett"],"fullName":["Broadbent, A.A.D.","Snell, H.S.K.","Michas, A.","Pritchard, W.J.","Newbold, L.","Cordero, I.","Goodall, T.","Griffiths, R.I.","Schloter, M.","Bahn, M.","Bardgett, R.D.","Broadbent, A."],"funder":["Natural Environment Research Council"],"givenName":["A.A.D.","H.S.K.","A.","W.J.","L.","I.","T.","R.I.","M.","R.D.","Arthur"],"grant":["NE/N009452/1"],"identifier":"255320dd-38ae-4a07-93bb-4f90439309f8","incomingCitationCount":0,"keyword":["Hohe Mut","Austria","Environmental survey","Soil"],"keywordsPlace":["Hohe Mut","Austria"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"Soil was sampled at six time-points from late winter (28th march 2017) to early summer (8th July 2017) across 15 experimental plots. Snow had been removed from five plots, added to five other plots and remained untouched on five plots (controls). Soil cores were taken (Ø = 2 cm, depth = 7 cm, where possible, although some cores were shallower when soil was frozen during winter) using a steel corer from five randomly chosen locations in each plot. Soil cores from the same plot were pooled and homogenised, any vegetation or litter was separated and discarded. Soil subsamples were immediately lysed in the field and stored at -80 deg C prior to molecular analyses. The remaining soil samples were sieved (4 mm) and stored at 4oC prior to biogeochemical analyses. See documentation accompanying the data for further details.","locations":["POLYGON((11.014 46.835, 11.014 46.853, 11.046 46.853, 11.046 46.835, 11.014 46.835))"],"metadataDate":"2026-09-15T08:43:00.000Z","orcid":["0000-0002-8438-7163"],"organisation":["The University of Manchester","Helmholtz Zentrum München, Germany","UK Centre for Ecology & Hydrology","Innsbruck University, Austria","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/255320dd-38ae-4a07-93bb-4f90439309f8","10.5285/255320dd-38ae-4a07-93bb-4f90439309f8","doi:10.5285/255320dd-38ae-4a07-93bb-4f90439309f8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise soil microbial and biogeochemical data collected during a snow manipulation experiment on the summit of Hohe Mut (2650 m) near Obergurgl, in the Austrian Alps (lat. 46.84862, long. 11.02957). \n\nSoil microbial data include phospholipid fatty acid (PLFA)…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Alpine grassland soil microbial and biogeochemical data from a snow manipulation experiment in Hohe Mut, Austria, 2017","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Vesuviano","Griffin","Stewart","Cole"],"authorFullName":["Vesuviano, G.","Griffin, A.","Stewart, E.","Cole, S."],"authorGivenName":["G.","A.","E.","S."],"authorOrcid":["0000-0003-2157-8875","0000-0001-8645-4561","0000-0003-4246-6645","0000-0003-4294-8687"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid"],"description":"This data represents twenty-four modelled rainfall depth estimates by GridASCII files across the state of Kerala, India, for four durations (1, 6, 24 and 192 hours) and six return periods (2, 5, 10, 25, 50 and 100 years). The estimates were produced using a similar procedure to the Flood Estimation Handbook statistical method for flood frequency estimation: separately for each duration, the estimated median annual maximum (AMAX) rainfall was used as a standardizing “index” value and the estimated L-moments of the AMAX series were used to fit a generalized logistic distribution “growth curve”. The data are in units of mm at a spatial resolution of 0.12 degrees.","documentType":"GEMINI_DOCUMENT","familyName":["Vesuviano","Griffin","Stewart","Cole"],"fullName":["Vesuviano, G.","Griffin, A.","Stewart, E.","Cole, S."],"funder":["Natural Environment Research Council"],"givenName":["G.","A.","E.","S."],"identifier":"4a08e6f1-e508-4bb6-b571-b3145dd1588e","incomingCitationCount":0,"keyword":["Kerala","India","Hydrology","rainfall","DDF","depth-duration-frequency","atmospheric precipitation","hydrology"],"keywordsOther":["rainfall","DDF","depth-duration-frequency","atmospheric precipitation","hydrology"],"keywordsPlace":["Kerala","India"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"1, 6, 24 and 192-hour annual maximum rainfalls were extracted from the gridded Indian Monsoon Data Assimilation and Analysis (IMDAA) hourly rainfall dataset for each year of 1979-2020 inclusive, for each grid cell in the state of Kerala, India. At each point, the median, and L-moments of the 42 annual maxima were calculated separately for each duration. At each location, linear regressions were created for the median using longitude, latitude, duration and mean annual rainfall. Linear regressions were created for the first two L-moments using these descriptors variables plus altitude and modelled median of annual maxima. The generalized logistic distribution was then used with the modelled median and L-moment ratios at each site to estimate the rainfall depths associated with specified durations and return periods.","locations":["POLYGON((74.82 8.34, 74.82 12.78, 77.34 12.78, 77.34 8.34, 74.82 8.34))"],"metadataDate":"2026-07-24T21:19:19.000Z","orcid":["0000-0003-2157-8875","0000-0001-8645-4561","0000-0003-4246-6645","0000-0003-4294-8687"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4a08e6f1-e508-4bb6-b571-b3145dd1588e","10.5285/4a08e6f1-e508-4bb6-b571-b3145dd1588e","doi:10.5285/4a08e6f1-e508-4bb6-b571-b3145dd1588e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data represents twenty-four modelled rainfall depth estimates by GridASCII files across the state of Kerala, India, for four durations (1, 6, 24 and 192 hours) and six return periods (2, 5, 10, 25, 50 and 100 years). The estimates were produced using a similar…","state":"published","supplementalName":["Flood Estimation Handbook"],"title":"Gridded rainfall depth-duration-frequency (DDF) estimates for the state of Kerala, India, 1979-2020","topic":["0/Hydrology/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Kent","University of Melbourne","Universiti Malaysia Sabah","Newcastle University","South East Asia Rainforest Research Partnership (SEARRP)","Institute of Zoology, Zoological Society of London"],"authorFamilyName":["Deere","Guillera-Arroita","Baking","Bernard","Pfeifer","Reynolds","Wearn","Davies","Struebig"],"authorFullName":["Deere, N.J.","Guillera-Arroita, G.","Baking, E.L.","Bernard, H.","Pfeifer, M.","Reynolds, G.","Wearn, O.R.","Davies, Z.G.","Struebig, M.J."],"authorGivenName":["N.J.","G.","E.L.","H.","M.","O.R.","Z.G.","M.J."],"authorOrcid":["0000-0003-1299-2126","0000-0002-8387-5739","0000-0002-6775-3141","0000-0001-8258-3534","0000-0003-0767-1467","0000-0003-2058-8502"],"authorRor":["https://ror.org/00xkeyj56","https://ror.org/01ej9dk98","https://ror.org/040v70252","https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set contains stacked detection matrices for 28 recorded mammal species across 115 sampling locations at the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo.  Information for each camera trap sampling location, including spatial information and sampling effort is included.  Data were collected in order to determine the contribution of carbon-based policies to biodiversity conservation in agricultural land-use mosaics.  These data are essential to the development of the occupancy detection matrix.  Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Deere","Guillera-Arroita","Baking","Bernard","Pfeifer","Reynolds","Wearn","Davies","Struebig"],"fullName":["Deere, N.J.","Guillera-Arroita, G.","Baking, E.L.","Bernard, H.","Pfeifer, M.","Reynolds, G.","Wearn, O.R.","Davies, Z.G.","Struebig, M.J.","Deere, N."],"givenName":["N.J.","G.","E.L.","H.","M.","O.R.","Z.G.","M.J.","Nick"],"identifier":"62774180-ae72-4873-9482-e8be3935f533","incomingCitationCount":0,"keyword":["Malaysia","Borneo","Sabah"," Stability of Altered Forest Ecosystems (SAFE)","Human-modified tropical forest (HMTF)","fragmentation","occupancy","human-modified landscape "," oil palm","tropical forest","mammal"],"keywordsOther":["fragmentation","occupancy","human-modified landscape "," oil palm","tropical forest","mammal"],"keywordsPlace":["Malaysia","Borneo","Sabah"],"keywordsProject":[" Stability of Altered Forest Ecosystems (SAFE)","Human-modified tropical forest (HMTF)"],"licence":"Open government licence","lineage":"Remotely-operated digital cameras (HC500 Hyperfire, Reconyx, Wisconsin, U.S.A.) were deployed at 130 locations across the 203 landscape between May and September 2015. These locations were separated by a mean distance of 1.4 km and distributed across an elevational gradient (mean=376 m.a.s.l.; range=64-735 m.a.s.l.). Accounting for theft, vandalism and malfunction, data were retrieved from 120 locations.  Sampling was stratified  within four broad habitat classes to capture the heterogeneity of the landscape: continuous logged forest, highly disturbed forest, isolated forest remnants and oil palm plantations. Due to the number of cameras available, data collection was completed over two rotations, each comprising 65 locations. Single units were deployed for 42 consecutive nights per location, yielding a total survey effort of 4,669 camera nights. Cameras were positioned at a standardised height of 30cm, on low resistance travel routes (e.g. riparian areas, logging roads, skid trails) and off-trail to account for inter- and intra-specific differences in habitat use. \n\nPrior to analyses, all images that could not be identified to species level were discarded (blurred images and photos of non-target species, equating to 17.6% of data). A detection matrix was developed for each species, whereby 42-day sampling periods were divided into six, seven-day temporal replicates. Any camera site active for fewer than seven days was excluded from analysis, leaving 115 analytical units each with 2-6 replicates. The detection matrices denote species presence ('1'), absence ('0') or camera trap malfunction ('NA') during each sampling interval.\n\nDuring deployment, GPS coordinates of the specific site were documented. During the processing of camera trap data we further documented the exact date and time for deployment, collection or failure in the event of malfunction. These data were used to provide an indication of sampling effort.","locations":["POLYGON((117.42 4.583, 117.42 4.774, 117.718 4.774, 117.718 4.583, 117.42 4.583))"],"metadataDate":"2026-09-15T08:46:01.000Z","orcid":["0000-0003-1299-2126","0000-0002-8387-5739","0000-0002-6775-3141","0000-0001-8258-3534","0000-0003-0767-1467","0000-0003-2058-8502"],"organisation":["University of Kent","University of Melbourne","Universiti Malaysia Sabah","Newcastle University","South East Asia Rainforest Research Partnership (SEARRP)","Institute of Zoology, Zoological Society of London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/62774180-ae72-4873-9482-e8be3935f533","10.5285/62774180-ae72-4873-9482-e8be3935f533","doi:10.5285/62774180-ae72-4873-9482-e8be3935f533"],"resourceType":"Dataset","rightsHolder":["University of Kent"],"ror":["https://ror.org/00xkeyj56","https://ror.org/01ej9dk98","https://ror.org/040v70252","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains stacked detection matrices for 28 recorded mammal species across 115 sampling locations at the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo.  Information for each camera trap sampling location,…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"Mammal detection data for the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]","version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"Countryside Survey is a unique study or \"audit\" of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and studied using rigorous scientific methods, allowing us to compare results from later surveys with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the countryside over time. A series of reports have been published outlining the main findings for UK and individual countries, most recently in 2007.  This collection belongs to a new phase of Countryside Survey which has adopted a rolling program of monitoring as of 2019 (as the UKCEH Countryside Survey/UKCEH-CS). The second cycle of the programme started in 2024. This research was supported by NERC, through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1.","documentType":"GEMINI_DOCUMENT","identifier":"6884edc3-e9db-4e27-be84-4038aed42d82","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-03-25T16:47:59.000Z","publicationDate":"2026-02-13T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6884edc3-e9db-4e27-be84-4038aed42d82"],"resourceType":"Aggregation","shortenedDescription":"Countryside Survey is a unique study or \"audit\" of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and studied using rigorous scientific methods, allowing us to compare results…","state":"published","title":"Countryside Survey 2024-2028","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Ashoka Trust for Research in Ecology and the Environment","UK Centre for Ecology & Hydrology","Quantitative Disease Ecology and Conservation (QDEC) Lab Group, Department of Geography, University of Florida, Gainesville, Florida, United States of America."],"authorFamilyName":["Samrat","Purse","Vanak","Chaudhary","Uday","Rahman","Hassall","George","Gerard"],"authorFullName":["Samrat, A.","Purse, B.V.","Vanak, A.T.","Chaudhary, A.","Uday, N.G.","Rahman, M.","Hassall, R.","George, C.","Gerard, F."],"authorGivenName":["A.","B.V.","A.T.","N.G.","M.","R.","C.","F."],"authorOrcid":["0000-0003-1943-8574","0000-0001-5140-2710","0000-0003-2435-4260","0000-0001-6318-2196","0000-0001-5916-5174"],"authorRor":["https://ror.org/02e22ra24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset contains Land Cover/Land Use (LCLU) maps for Sindhudurg, Shivamogga and Wayanad, India. LCLU products are state-of-the-art statically stable and area weighted accuracy assessed products. The LCLU product was generated for Kyasanur Forest Disease (KFD), a Zoonotic disease. KFD is an “ecotonal” disease. Diverse forest-plantation mosaics, zone moist evergreen forest and plantation, and low coverage of dry deciduous forest will cause higher risks for KFD. Our LCLU product aimed to separate diverse forest types and plantation and we achieved high accuracy (>90%). The study covers Sindhudurg, Shivamogga, and Wayanad Western Ghats district which belong to Indian state Maharashtra, Karnataka, and Kerala respectively. ","documentType":"GEMINI_DOCUMENT","familyName":["Samrat","Purse","Vanak","Chaudhary","Uday","Rahman","Hassall","George","Gerard"],"fullName":["Samrat, A.","Purse, B.V.","Vanak, A.T.","Chaudhary, A.","Uday, N.G.","Rahman, M.","Hassall, R.","George, C.","Gerard, F."],"funder":["Natural Environment Research Council"],"givenName":["A.","B.V.","A.T.","N.G.","M.","R.","C.","F."],"grant":["MR/P024335/1"],"identifier":"cacb66de-aea0-41d5-97b3-9eacd4683aaf","incomingCitationCount":0,"keyword":["Wayanad","Sindhudurg","Shimoga","Land cover","Mapping","land use","land cover"],"keywordsOther":["land use","land cover"],"keywordsPlace":["Wayanad","Sindhudurg","Shimoga"],"keywordsTheme":["Land cover","Mapping"],"licence":"Open government licence","lineage":"The Land Cover/Land Use (LCLU) product was derived from Landsat 8 Operational Land Imager reflectance Tier 1 imagery. The signature was randomly divided into 20% test sample size and 80% sample size. The 80% sample size was further divided into 30% validation sample and 70% training sample and the sampling strategy was carried out randomly for 50 times. Each set of the 70% (training set) and 30% sample (validation set) was used to generate the LCLU and validate it. The final LCLU was a mode of 50 time LCLU and finally the 20% sample was used for testing the accuracy of Mode’s LCLU. ","locations":["POLYGON((73.288 11.35, 73.288 16.7, 76.565 16.7, 76.565 11.35, 73.288 11.35))"],"metadataDate":"2026-09-15T08:42:49.000Z","orcid":["0000-0003-1943-8574","0000-0001-5140-2710","0000-0003-2435-4260","0000-0001-6318-2196","0000-0001-5916-5174"],"organisation":["Ashoka Trust for Research in Ecology and the Environment","UK Centre for Ecology & Hydrology","Quantitative Disease Ecology and Conservation (QDEC) Lab Group, Department of Geography, University of Florida, Gainesville, Florida, United States of America.","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-03-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cacb66de-aea0-41d5-97b3-9eacd4683aaf","10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf","doi:10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Ashoka Trust for Research in Ecology and the Environment"],"ror":["https://ror.org/02e22ra24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains Land Cover/Land Use (LCLU) maps for Sindhudurg, Shivamogga and Wayanad, India. LCLU products are state-of-the-art statically stable and area weighted accuracy assessed products. The LCLU product was generated for Kyasanur Forest Disease (KFD),…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Land Cover/Land Use maps (30m) for Shivamogga, Sindhudurg and Wayanad, India, 2018","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor","Dobel","Grant","Gunn","Olszewska","May"],"authorFullName":["Taylor, P.J.","Dobel, A.","Grant, A.","Gunn, I.D.M.","Olszewska, J.P.","May, L."],"authorGivenName":["P.J.","A.","I.D.M.","J.P.","L."],"authorOrcid":["0000-0003-1663-9426","0000-0002-1473-5097","0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2020. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor","Dobel","Grant","Gunn","Olszewska","May"],"fullName":["Taylor, P.J.","Dobel, A.","Grant, A.","Gunn, I.D.M.","Olszewska, J.P.","May, L.","Taylor, P."],"funder":["Natural Environment Research Council"],"givenName":["P.J.","A.","I.D.M.","J.P.","L.","P"],"grant":["NE/R016429/1"],"identifier":"2ce166c7-bff2-419b-a17f-0a5d53896416","incomingCitationCount":0,"keyword":["Crustacean zooplankton","Lakes","Loch Leven","Scotland","Taxa","UK","UK-SCAPE","Water chemistry","Water quality"],"keywordsOther":["Crustacean zooplankton","Lakes","Loch Leven","Scotland","Taxa","UK","UK-SCAPE","Water chemistry","Water quality"],"licence":"Open government licence","lineage":"The data was collected from fieldwork at Loch Leven during 2020 and recorded into a database with some samples being processed in the laboratory first. All data has been through a QA process, which is detailed in the metadata document.","locations":["POLYGON((-3.424 56.171, -3.424 56.224, -3.319 56.224, -3.319 56.171, -3.424 56.171))"],"metadataDate":"2026-07-24T19:33:01.000Z","orcid":["0000-0003-1663-9426","0000-0002-1473-5097","0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ce166c7-bff2-419b-a17f-0a5d53896416","10.5285/2ce166c7-bff2-419b-a17f-0a5d53896416","doi:10.5285/2ce166c7-bff2-419b-a17f-0a5d53896416"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2020. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2020","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Portland State University","University of Nottingham","Colorado State University","US Forest Service"],"authorFamilyName":["Colley","Dugdale","Field","Johnson","Mariani","Means-Brous","Pugh","Renan","Schrodt","Thorne","Valman"],"authorFullName":["Colley, M.","Dugdale, S.J.","Field, R.","Johnson, M.","Mariani, M.","Means-Brous, M.","Pugh, B.","Renan, L.","Schrodt, F.","Thorne, C.","Valman, S."],"authorGivenName":["M.","S.J.","R.","B.","L.","F.","C.","S."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Bird data comprises point counts of bird species and their abundance observed at each collection site. Data are separated into birds within 50m, greater than 50m distant and birds in flight.\n\nThese data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in avian response to wildfire in the restored vs. unrestored river reaches.\n\nThe study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","familyName":["Colley","Dugdale","Field","Johnson","Mariani","Means-Brous","Pugh","Renan","Schrodt","Thorne","Valman"],"fullName":["Colley, M.","Dugdale, S.J.","Field, R.","Johnson, M.","Mariani, M.","Means-Brous, M.","Pugh, B.","Renan, L.","Schrodt, F.","Thorne, C.","Valman, S."],"funder":["Natural Environment Research Council"],"givenName":["M.","S.J.","R.","B.","L.","F.","C.","S."],"identifier":"dd919c8e-ccd6-48ed-a1c0-ef5cf732bdc6","incomingCitationCount":0,"keyword":["Macroinvertebrate","Avian","South fork mckenzie","Stage zero","River restoration","Wildfire","fire","river","restoration","bird"],"keywordsOther":["Macroinvertebrate","Avian","South fork mckenzie","Stage zero","River restoration","Wildfire","fire","river","restoration","bird"],"licence":"Open government licence","lineage":"Point count of bird species carried out across 41 sites (20 restored, 21 unrestored) in the South Fork McKenzie River. Point counts carried out initially over 3 minutes and then a further 2 minutes. Birds were recorded as <50m, >= 50m, or flying over. Each site was attempted to be sampled twice but in 5 cases this was not possible due to field conditions (Points 5, 17, 21,22, and 23)\nMethodology based on the following field protocols:\nRalph, C. J., G. R. Geupel, P. Pyle, T. E. Martin, and D. F. DeSante. 1993. Handbook of field methods for monitoring landbirds. General Technical Report PSW-GTR-144. Pacific Southwest Research Station, U.S. Department of Agriculture, Forest Service, Albany, California.\nStephens, J. L., S. R. Mohren, J. D. Alexander, D. A. Sarr, and K. M. Irvine. 2010. Klamath Network Landbird Monitoring Protocol. Natural Resource Report NPS/KLMN/NRR—2010/187. National Park Service, Fort Collins, Colorado.","locations":["POLYGON((-122.29 44.13, -122.29 44.16, -122.23 44.16, -122.23 44.13, -122.29 44.13))"],"metadataDate":"2026-07-25T14:24:25.000Z","organisation":["Portland State University","University of Nottingham","Colorado State University","US Forest Service","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd919c8e-ccd6-48ed-a1c0-ef5cf732bdc6","10.5285/dd919c8e-ccd6-48ed-a1c0-ef5cf732bdc6","doi:10.5285/dd919c8e-ccd6-48ed-a1c0-ef5cf732bdc6"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Bird data comprises point counts of bird species and their abundance observed at each collection site. Data are separated into birds within 50m, greater than 50m distant and birds in flight.\n\nThese data were collected from the South Fork McKenzie river, Oregon, USA…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Avian data from the South Fork McKenzie River in Oregon, USA after a wildfire event, 2021","version":1.0,"view":["public","crimar"]},{"altTitle":["MultiMOVE Version 2.0.1","MultiMOVE: A Package of niche models for British vegetation v.2.0.1"],"authorAffiliation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)"],"authorFamilyName":["Henrys","Butler","Jarvis","Smart","Fang"],"authorFullName":["Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z."],"authorGivenName":["P.A.","A.","S.G.","S.M.","Z."],"authorOrcid":["0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["R Script"],"description":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 3.1.2 and depends on R packages 'leaps', 'earth', 'fields', 'mgcv', 'stringr', 'gsubfn', 'randomForest' and 'nnet'. ","documentType":"GEMINI_DOCUMENT","familyName":["Henrys","Butler","Jarvis","Smart","Fang"],"fullName":["Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z.","Henrys, P."],"givenName":["P.A.","A.","S.G.","S.M.","Z.","Pete"],"identifier":"94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","incomingCitationCount":3,"keyword":["Great Britain","Modelling","Vegetation science","ecology"],"keywordsOther":["Vegetation science","ecology"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Modelling methods used: Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990) Generalised Linear Models (GLMs) (McCullagh and Nelder, 1989) Random Forests (RF) (Liaw and Wiener, 2002) Multiple Adaptive Regression Splines (MARS) (Friedman, 1991). Neural Networks (NNet) (Venables and Ripley, 2002) Data sources used in the models: National Vegetation Classification (Rodwell 1991 et seq). Data collected at 4-250 m2 using targeted homogenous stands to census full range of plant community variation across Britain. Sampled from 1950-1980. The Key Habitats surveys of Britain (Hornung 1996). Data collected at 4m2 using random sampling within a random selection of 1-km squares stratified by three landscape GIS masks for upland, calcareous grassland and lowland heathland ecosystems. Sampled in 1992. Broadleaved woodland survey of Britain (Kirby et al. 2005; Corney et al. 2006). Data collected at 200 m2 using 16 plots located at random within each of 103 representative sites in Britain. Sampled in 1971. Countryside Survey of Great Britain (Smart et al. 2003). Data collected at 4-200 m2 using randomly located plots within a random selection of 569 1-km squares across Britain stratified by ITE Land Class. Data collected in 1998/1999. ","locations":["POLYGON((-9.227 49.837, -9.227 60.85, 2.6876 60.85, 2.6876 49.837, -9.227 49.837))"],"metadataDate":"2026-07-25T10:18:20.000Z","orcid":["0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-2750-7832"],"organisation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-13T00:00:00.000Z","recordType":"Model","resourceIdentifier":["1431527379383","CEH:EIDC::1431527379383","10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","doi:10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","https://catalogue.ceh.ac.uk/id/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from…","state":"published","supplementalName":["Manual for R Statistical Environment extensions"],"title":"MultiMOVE Model: Ensemble niche modelling of British vegetation v2.0.1","topic":["0/Modelling/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor","Dobel","Grant","Gunn","Olszewska","May"],"authorFullName":["Taylor, P.J.","Dobel, A.","Grant, A.","Gunn, I.D.M.","Olszewska, J.P.","May, L."],"authorGivenName":["P.J.","A.","I.D.M.","J.P.","L."],"authorOrcid":["0000-0003-1663-9426","0000-0002-1473-5097","0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2022. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site.\n\nThe sampling and processing was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor","Dobel","Grant","Gunn","Olszewska","May"],"fullName":["Taylor, P.J.","Dobel, A.","Grant, A.","Gunn, I.D.M.","Olszewska, J.P.","May, L.","Taylor, P."],"funder":["Natural Environment Research Council"],"givenName":["P.J.","A.","I.D.M.","J.P.","L.","Philip"],"grant":["NE/R016429/1"],"identifier":"6dd7ac13-c3e3-4156-a0d8-929227dbf9e8","incomingCitationCount":0,"keyword":["Loch Leven","Scotland","Water quality","Zooplankton","UK-SCAPE","Water chemistry","crustacean","lake"],"keywordsOther":["Zooplankton","UK-SCAPE","Water chemistry","crustacean","lake"],"keywordsPlace":["Loch Leven","Scotland"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The data was collected from fieldwork at Loch Leven during 2022 and recorded into a database with some samples being processed in the laboratory first. All data has been through a QA process, which is detailed in the metadata document.","locations":["POLYGON((-3.424 56.171, -3.424 56.224, -3.319 56.224, -3.319 56.171, -3.424 56.171))"],"metadataDate":"2026-09-15T08:41:50.000Z","orcid":["0000-0003-1663-9426","0000-0002-1473-5097","0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-07-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6dd7ac13-c3e3-4156-a0d8-929227dbf9e8","10.5285/6dd7ac13-c3e3-4156-a0d8-929227dbf9e8","doi:10.5285/6dd7ac13-c3e3-4156-a0d8-929227dbf9e8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2022. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M."],"authorOrcid":["0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of landscape point feature information for points across Great Britain, surveyed in 1984. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated vegetation species where relevant, within a set of 382 1km squares across Great Britain, surveyed during the Countryside Survey long term monitoring project (note: not all surveyed squares contained point features). The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to point features, habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M."],"givenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M."],"identifier":"124b872e-036e-4dd3-8316-476b5f42c16e","incomingCitationCount":1,"keyword":["Great Britain","Environmental survey","trees ","ponds ","buildings","Countryside Survey"],"keywordsOther":["trees ","ponds ","buildings","Countryside Survey"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1984 by professional surveyors. Data were recorded from 382 1km squares sited across Britain, selected by random stratified sample. The point information was digitized in the late 1990s and is managed by Centre for Ecology & Hydrology. The survey was managed by the Institute of Terrestrial Ecology (which later became part of the Centre for Ecology & Hydrology).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:08:44.000Z","orcid":["0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/124b872e-036e-4dd3-8316-476b5f42c16e","10.5285/124b872e-036e-4dd3-8316-476b5f42c16e","doi:10.5285/124b872e-036e-4dd3-8316-476b5f42c16e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of landscape point feature information for points across Great Britain, surveyed in 1984. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated vegetation…","state":"published","temporalExtentText":"Data collected from 1984 to 1984","title":"Landscape point feature data 1984 [Countryside Survey]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Birmingham"],"authorFamilyName":["Cambronero","Williams","Orsini","Colbourne"],"authorFullName":["Cambronero, M.C.","Williams, T.D.","Orsini, L.","Colbourne, J.K."],"authorGivenName":["M.C.","T.D.","L.","J.K."],"authorOrcid":["0000-0002-5342-2165","0000-0002-5857-3851","0000-0002-1716-5624","0000-0002-6966-2972"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains fitness-linked life history traits, environmental data, and protein and gene expression data for Daphnia magna.\n \nLife history data were measured in common garden experiments. For each clone of the same genotype across all experiments, size at maturity (distance between the head and the base of the tail spine), age at maturity (first time eggs were observed in the brood chamber), fecundity (total number of offspring released summing first and second brood), and mortality were measured. Critical thermal maximum (CTmax) was measured on the experimental animals.\n \nEnvironmental data consisted of Secchi disk depth (water transparency) ; total phosphorous; and total nitrogen for the years 1971–1999; a record of pesticides 1955–2010; temperature records over the past century 80 km from Lake Ring.\n \nOrganic and carbonate contents of the sediment was estimated using the loss on ignition (LOI) method.\n \nHb protein data consisted of constitutive Hb protein crude content animals reared in normoxic (saturated oxygen level) conditions at two experimental temperatures, 20 and 30°C.\n \nHeat shock protein expression was measured in four heat shock proteins (HSP20, HSP60, HSP70 and HSP90). Total RNA, qPCR, mean CT (cycle threshold) value per sample and per protein were collected.","documentType":"GEMINI_DOCUMENT","familyName":["Cambronero","Williams","Orsini","Colbourne"],"fullName":["Cambronero, M.C.","Williams, T.D.","Orsini, L.","Colbourne, J.K."],"funder":["Natural Environment Research Council"],"givenName":["M.C.","T.D.","L.","J.K."],"grant":["NE/N016777/1"],"identifier":"13f878dc-ef87-45d5-be8c-5733c88c30e9","incomingCitationCount":0,"keyword":["Resurrection ecology","Freshwater ecology","Experimental evolution","Daphnia magna","Fitness traits","pesticide","eutrophication"],"keywordsOther":["Resurrection ecology","Freshwater ecology","Experimental evolution","Daphnia magna","Fitness traits","pesticide","eutrophication"],"licence":"Open government licence","lineage":"Lineages (genotypes) of Daphnia were resurrected (revived) from biological archives of Lake Ring, a shallow mixed lake in Denmark (550 57´ 51.83´´ N, 9035´46.87´´E) with a known history of anthropogenic impact. The process by which lineages were obtained is as follows:\n1.\tSediment is sampled using a piston corer of approximately 1.5 m in length with an internal tube diameter of 14 cm\n2.\tThe sediment core is separated in incremental layers of 1 cm or less using a flat metal surface\n3.\tEach sediment layer is collected in a separate sampling bag and weighted using a precision scale\n4.\tEach layer of sediment is sieved and dormant Daphnia isolated after visual inspection\n5.\tUnder a stereo microscope, each dormant Daphnia encapsulated in an ephippium is opened using microdissection forceps to expose dormant embryos to light\n6.\tEach dormant embryos develops in a fully functional adult from which an isoclonal lineage is established and maintained in the laboratory indefinitely.\nFrom a total of 923 dormant Daphnia, 262 lineages were successfully hatched.  From these, a total of 40 randomly chosen lineages across the sediment core were used in the experiments and fitness-linked life-history traits measured. ","locations":["POLYGON((9.588 55.961, 9.588 55.968, 9.605 55.968, 9.605 55.961, 9.588 55.961))"],"metadataDate":"2026-07-24T19:09:49.000Z","orcid":["0000-0002-5342-2165","0000-0002-5857-3851","0000-0002-1716-5624","0000-0002-6966-2972"],"organisation":["University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/13f878dc-ef87-45d5-be8c-5733c88c30e9","10.5285/13f878dc-ef87-45d5-be8c-5733c88c30e9","doi:10.5285/13f878dc-ef87-45d5-be8c-5733c88c30e9"],"resourceType":"Dataset","rightsHolder":["University of Birmingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains fitness-linked life history traits, environmental data, and protein and gene expression data for Daphnia magna.\n \nLife history data were measured in common garden experiments. For each clone of the same genotype across all experiments, size at…","state":"published","supplementalName":["Data from: Predictability of the impact of multiple stressors on the keystone species Daphnia","Data from: Evolution of thermal tolerance in multifarious environments","Evolutionary mechanisms underpinning fitness response to multiple stressors in Daphnia"],"temporalExtentText":"Data collected from 1955 to 2010","title":"Phenotypic and environmental data for Lake Ring, Denmark, Daphnia magna population, 1955-2010","version":1.0,"view":["public","matnic"]},{"availability":"Available","catalogue":"eidc","description":"This is a web map service (WMS) for the Land Cover Map 2024 at 25-metre resolution.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"b68a92f8-e91d-40d2-aed9-6b21295cb094","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsOther":["infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-25T13:56:13.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-31T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b68a92f8-e91d-40d2-aed9-6b21295cb094"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2024 at 25-metre resolution.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","state":"published","title":"Land Cover Map 2024 25m web map service (WMS)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Birmingham"],"authorFamilyName":["Mignanelli","Khamis","Bradley","Sambrook-Smith"],"authorFullName":["Mignanelli, L.","Khamis, K.","Bradley, C.","Sambrook-Smith, G."],"authorGivenName":["L.","K.","C.","G."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing methods for urban storm flow characterization. Two sediment types were assessed along with three size fractions across concentration ranges from 0 mg/L to 5000 mg/L. Absorbance was recorded at key wavelengths between 190 – 360 nm and particle size distribution and organic content (loss on ignition) measured for each sediment type and size fraction.  \n\nThe work was supported by the Natural Environment Research Council (Grant NE/X011178/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Mignanelli","Khamis","Bradley","Sambrook-Smith"],"fullName":["Mignanelli, L.","Khamis, K.","Bradley, C.","Sambrook-Smith, G.","Kieran Khamis"],"funder":["Natural Environment Research Council"],"givenName":["L.","K.","C.","G.","Kieran"],"grant":["NE/X011178/1"],"identifier":"ee577b07-1a2c-4541-bf30-e2ea048e15e1","incomingCitationCount":0,"keyword":["Water quality","Suspended sediment","Optical sensors"],"keywordsOther":["Suspended sediment","Optical sensors"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Measurements were taken using a commercially available absorbance sensor, Trios Opus (TriOS GmbH, Germany) at 1 minute intervals. Sediments were sieved into size fractions and particle size was quantified using  a Malvern Mastersizer 2000  (Malvern, UK) and organic content was assessed using the Loss on Ignition method.\n\nThe experimental setup consisted of a 5 L beaker filled with 4 L of deionized water, a large stirrer set to a constant rpm, and an opaque surround to minimize interference from ambient light on sensor measurements. The sensor was placed in the centre of the beaker, ~5 cm above the stirrer blade. To verify uniform mixing, subsamples were taken directly beside the optical window of the sensor and at two other locations within the beaker. These subsamples were analysed using a commercial handheld turbidimeter (Sper Scientific Portable Turbidity Meter 860040) at predefined calibration points to confirm consistent turbidity. Turbidity readings were stable and comparable across all sample positions at each calibration point.\n\nEach measurement cycle consisted of 15 calibration points spanning SSC concentrations from 0 to 5000 mg/L. During calibration, sensors recorded data continuously for 20 minutes, and once measurements had stabilized, 10 readings were randomly selected for further analysis.\n\nAll absorbance data were recorded by the TriOS Opus sensor and exported in CSV format, LOI data (weight measurements) were initially recorded on paper, then transferred into an Excel spreadsheet and particle size  data from the Mastersizer were exported as CSV files and imported into statistical software for analysis.  Records were screened for  any missing or null values and data points were checked to ensure they fell within expected ranges (e.g. in case of data entry errors). \n\n\n","locations":["POLYGON((-2.092 52.386, -2.092 52.545, -1.733 52.545, -1.733 52.386, -2.092 52.386))"],"metadataDate":"2026-07-25T14:53:43.000Z","organisation":["University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ee577b07-1a2c-4541-bf30-e2ea048e15e1","10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1","doi:10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1"],"resourceType":"Dataset","rightsHolder":["University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"UV absorbance of suspended sediments measured in a laboratory using a submersible spectrophotometer","topic":["0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"altTitle":["ACES Household survey data"],"authorAffiliation":["University of Edinburgh","Universidade Eduardo Mondlane","University of Edinburgh ","Universidade de Lisboa","University of Leeds"],"authorFamilyName":["Vollmer","Fisher","Ryan","Baumert","Woollen","Luz","Cossa","Stedham","Smith"],"authorFullName":["Vollmer, F.","Fisher, J.","Ryan, C.M.","Baumert, S.","Woollen, E.","Luz, A.","Cossa, I.","Stedham, R.","Smith, H."],"authorGivenName":["F.","J.","C.M.","S.","E.","A.","I.","R.","H."],"authorOrcid":["0000-0002-7135-5525","0000-0002-1802-0128","0000-0003-2408-1303","0000-0002-6504-4835","0000-0003-3466-2929","0000-0003-0589-2602"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/05n8n9378","https://ror.org/01c27hj86","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes data collected as part of the Abrupt Changes in Ecosystem Services (ACES) project on the composition, income (including consumption and sale of environmental resources), ownership of assets (e.g. farming equipment, household furnishings and own transport) and wellbeing of respondent households in rural Mozambique. Data are also included from a participatory wealth ranking exercise carried out in each village. \n \nData were collected in a total of 27 villages: 7 villages in Mabalane District in Gaza Province, 10 villages in Gurué District in Zambezia Province and 10 villages in Marrupa District in Niassa Province. Data collection was carried out in 2014 and 2015, using a one-off environmentally-augmented household income and assets survey administered by enumerators in the locally appropriate language.   \n \nThe objective of the ACES project was to explore interactions between woodland change, ecosystem services and wellbeing in rural Mozambican households. The study used a space-for-time substitution approach, with villages in each district chosen to represent different points on gradients of land use intensity with respect to the dominant land use types in each district (charcoal production in Mabalane, commercial agriculture in Gurué and subsistence agriculture in Marrupa). Data were collected primarily by researchers based in the School of Geosciences at the University of Edinburgh and at the University of Eduardo Mondlane in Mozambique. \n \nAll the data collected using the household survey are included in this dataset barring those data which would compromise the anonymity of respondents, such as the names and household coordinates of those interviewed. ","documentType":"GEMINI_DOCUMENT","familyName":["Vollmer","Fisher","Ryan","Baumert","Woollen","Luz","Cossa","Stedham","Smith","Pritchard"],"fullName":["Vollmer, F.","Fisher, J.","Ryan, C.M.","Baumert, S.","Woollen, E.","Luz, A.","Cossa, I.","Stedham, R.","Smith, H.","Pritchard, R."],"funder":["Natural Environment Research Council"],"givenName":["F.","J.","C.M.","S.","E.","A.","I.","R.","H."],"grant":["NE/K010395/1"],"identifier":"6d94d084-6c9d-4f81-8a3f-0b82de827858","incomingCitationCount":0,"keyword":["Abrupt Changes in Ecosystem Services (ACES)","Ecosystem services","socioeconomics","sociological survey"],"keywordsOther":["socioeconomics","sociological survey"],"keywordsProject":["Abrupt Changes in Ecosystem Services (ACES)"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"Data for the ACES project were collected in three districts of Mozambique representing three different social-ecological contexts. Marrupa District in Niassa Province has low levels of infrastructure and livelihoods are characterised by dependence on subsistence rather than commercial agriculture. In contrast, Gurué District in Zambezia Province is one of the main commercial crop producing regions of Mozambique, with crops including soya, pulses and sunflower primarily derived from smallholder producers. Mabalane District in Gaza Province is characterised by high dependence of livelihoods on production of charcoal, primarily for supply to the capital city Maputo. \n\nA total of 27 villages were chosen for inclusion in the survey based upon scoping visits: 7 in Malabane, 10 in Gurué and 10 in Marrupa. The ACES project followed a ‘space-for-time’ substitution approach, with villages selected at different intensities of the dominant land use in each of the three districts (specifically charcoal in Mabalane, soya in Gurué and tobacco in Marrupa). The chosen villages within each district displayed, as far as possible, similar soil and vegetation types, and had a leader who was resident in the village. \n\nThe ACES survey used the definition of a household as people ‘eating from the same pot’ . Different household sampling strategies were used in the three study districts: in Malabane, a census of all households was attempted as villages were relatively small, whereas in Marrupa and Gurué stratified random sampling was employed with the aim of oversampling the rich and very poor households.","locations":["POLYGON((30.21 -26.91, 30.21 -10.33, 45.05 -10.33, 45.05 -26.91, 30.21 -26.91))"],"metadataDate":"2026-07-25T06:49:03.000Z","orcid":["0000-0002-7135-5525","0000-0002-1802-0128","0000-0003-2408-1303","0000-0002-6504-4835","0000-0003-3466-2929","0000-0003-0589-2602"],"organisation":["University of Edinburgh","Universidade Eduardo Mondlane","University of Edinburgh ","Universidade de Lisboa","University of Leeds","University of Sheffield","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-03-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d94d084-6c9d-4f81-8a3f-0b82de827858","10.5285/6d94d084-6c9d-4f81-8a3f-0b82de827858","doi:10.5285/6d94d084-6c9d-4f81-8a3f-0b82de827858"],"resourceType":"Dataset","ror":["https://ror.org/01nrxwf90","https://ror.org/05n8n9378","https://ror.org/01c27hj86","https://ror.org/024mrxd33","https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes data collected as part of the Abrupt Changes in Ecosystem Services (ACES) project on the composition, income (including consumption and sale of environmental resources), ownership of assets (e.g. farming equipment, household furnishings and own…","state":"published","temporalExtentText":"Data collected from 2014 to 2015","title":"Household composition, income and assets survey data (including environmental product collection) from Mabalane, Gurue and Marrupa districts, Mozambique in 2014 and 2015","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","dgwr","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Liverpool"],"authorFamilyName":["Bennett","Harris","Wanless","Green","Newell","Searle","Daunt"],"authorFullName":["Bennett, S.","Harris, M.","Wanless, S.","Green, J.A.","Newell, M.A.","Searle, K.R.","Daunt, F."],"authorGivenName":["S.","M.","J.A.","M.A.","K.R.","F."],"authorOrcid":["0000-0002-7351-5051","0000-0002-2788-4606","0000-0001-8692-0163","0000-0002-4723-175X","0000-0003-4624-9023","0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04xs57h96"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the occupancy of breeding sites in the non-breeding season, breeding timing and success, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes for the non-breeding season of 2017/18, 2018/19 and 2019/20. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS).","documentType":"GEMINI_DOCUMENT","familyName":["Bennett","Harris","Wanless","Green","Newell","Searle","Daunt"],"fullName":["Bennett, S.","Harris, M.","Wanless, S.","Green, J.A.","Newell, M.A.","Searle, K.R.","Daunt, F."],"funder":["Natural Environment Research Council"],"givenName":["S.","M.","J.A.","M.A.","K.R.","F."],"grant":["NE/R016429/1"],"identifier":"40d28d0b-f93d-4c6c-90ef-97a26a510f81","incomingCitationCount":0,"keyword":["Isle of May","Animal behaviour","common guillemot","Uria aalge","site quality","breeding success","site defence","site occupancy","non-breeding","animal behaviour"],"keywordsOther":["common guillemot","Uria aalge","site quality","breeding success","site defence","site occupancy","non-breeding","animal behaviour"],"keywordsPlace":["Isle of May"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"All data derives from time-lapse photography and in-person field observations of common guillemots on the Isle of May by experienced observers from the UK Centre for Ecology & Hydrology. Time-lapse photography data was used to derive non-breeding site occupancy metrics in two study sub-colonies. Breeding success and site quality data were derived from in-person observations at these same sub-colonies. All data were proofed before entering the full dataset and processed as per the accompanying metadata and supporting information.","locations":["POLYGON((-2.574 56.173, -2.574 56.199, -2.536 56.199, -2.536 56.173, -2.574 56.173))"],"metadataDate":"2026-09-15T08:37:16.000Z","orcid":["0000-0002-7351-5051","0000-0002-2788-4606","0000-0001-8692-0163","0000-0002-4723-175X","0000-0003-4624-9023","0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","University of Liverpool","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40d28d0b-f93d-4c6c-90ef-97a26a510f81","10.5285/40d28d0b-f93d-4c6c-90ef-97a26a510f81","doi:10.5285/40d28d0b-f93d-4c6c-90ef-97a26a510f81"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xs57h96","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the occupancy of breeding sites in the non-breeding season, breeding timing and success, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes for…","state":"published","supplementalName":[" Isle of May Long-Term Study"],"temporalExtentText":"Data collected from 2017 to 2020","title":"Occupancy of breeding sites in the non-breeding season, site quality and breeding success data for a population of common guillemots (Uria aalge) on the Isle of May, Scotland, 2017-2020","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","margla"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}