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Prior to measurement of bulk density all soil samples were dried at 105°C for 72 hours. A sub-sample was then taken and dried at 375°C for 16 hours to determine the percentage organic matter of dry soil. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 metres, 10-100 metres and 100-1000 metres. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. \n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"90457ba1-f291-4158-82dc-425d7cbb1ac5","incomingCitationCount":1,"keyword":["Essex","Morecambe Bay","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","Salt marsh","Soil Organic Matter","SOM"],"keywordsOther":["Salt marsh","Soil Organic Matter","SOM"],"keywordsPlace":["Essex","Morecambe Bay"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Field soil organic matter was measured from bulk density samples taken at roughly 0-10cm, 10-20 cm and 20-30 cm depth zones with a 3.1 cm height, and 7.5 cm diameter bulk density ring for each quadrat. Prior to measurement of bulk density all soil samples were dried at 105°C for 72 hours. A sub-sample was then taken and dried at 375°C for 16 hours to determine the percentage organic matter of dry soil. Results were recorded onto field sheets. These data were transferred into an Excel file and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metres (m) to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). ","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-07-25T10:15:23.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/90457ba1-f291-4158-82dc-425d7cbb1ac5","10.5285/90457ba1-f291-4158-82dc-425d7cbb1ac5","doi:10.5285/90457ba1-f291-4158-82dc-425d7cbb1ac5"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the field soil organic matter content as a percentage at three depth zones (roughly 0-10 cm, 10-20 cm and 20-30 cm), measured from bulk density soil samples taken within each 1metre x 1metre quadrat. Prior to measurement of bulk density all soil…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil organic matter content from three soil depths on saltmarsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["H","B A","A G","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 Esthwaite Tarn in Cumbria, England. 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 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. All data are from January 2024 until the end of 2024.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["H","B A","A G","K","G","S J","H."],"grant":["NE/R016429/1 ","NE/Y006208/1"],"identifier":"c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","incomingCitationCount":0,"keyword":["Climate and climate change","Water quality","Environmental survey","dissolved oxygen","freshwater monitoring","phytoplankton","lake"],"keywordsOther":["dissolved oxygen","freshwater monitoring","phytoplankton","lake"],"keywordsTheme":["Climate and climate change","Water quality","Environmental survey"],"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 shortage.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2.\n","locations":["POLYGON((-2.993 54.348, -2.993 54.37, -2.977 54.37, -2.977 54.348, -2.993 54.348))"],"metadataDate":"2026-07-25T14:02:31.000Z","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/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","doi:10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21"],"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 Esthwaite Tarn in Cumbria, England. The data available to download comprise surface…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2024","topic":["0/Climate and climate change/","0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","BioSS"],"authorFamilyName":["Leedham","Searle","Harris","Newell","Wanless","Mobbs","Butler","Daunt"],"authorFullName":["Leedham, O.","Searle, K.R.","Harris, M.P.","Newell, M.","Wanless, S.","Mobbs, D.C.","Butler, A.","Daunt, F."],"authorGivenName":["O.","K.R.","M.P.","M.","S.","D.C.","A.","F."],"authorOrcid":["0000-0002-7177-8237","0000-0003-4624-9023","0000-0002-2788-4606","0000-0001-5842-2247","0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset reviews key behavioural and physiological traits of four species of seabirds: Common guillemot Uria aalge; Razorbill Alca torda; Atlantic puffin Fratercula arctica; and Black-legged kittiwake Rissa tridactyla. These data describe the daily time allocation to and energetic costs of core activities and other energetically important processes of seabirds during chick-rearing-an energetically demanding period with important implications for population demography. The purpose of this dataset is to collate and standardise important energetic and demographic parameters to underpin energetic, behavioural and demographic modelling analyses for key seabird species. Data primarily correspond to measurements of seabirds breeding in the UK.","documentType":"GEMINI_DOCUMENT","familyName":["Leedham","Searle","Harris","Newell","Wanless","Mobbs","Butler","Daunt"],"fullName":["Leedham, O.","Searle, K.R.","Harris, M.P.","Newell, M.","Wanless, S.","Mobbs, D.C.","Butler, A.","Daunt, F."],"funder":["Natural Environment Research Council","UKCEH"],"givenName":["O.","K.R.","M.P.","M.","S.","D.C.","A.","F."],"grant":["NE/X009068/1","NE/Y006208/1"],"identifier":"07b1105a-4a14-47e3-b491-9af59be90aff","incomingCitationCount":0,"keyword":["UK","Europe","Animal behaviour","Seabirds","energetics","biometrics","time activity budgets","energetic costs","foraging","flying","resting","chick provisioning","body mass","BMR","metabolism","tissue energy density","prey energy density","chick rearing","warming food","digestive assimilation efficiency","Common guillemot","Uria aalge","Black-legged kittiwake","Rissa tridactyla","Atlantic puffin","Fratercula arctica","razorbill","Alca torda","animal behaviour"],"keywordsOther":["Seabirds","energetics","biometrics","time activity budgets","energetic costs","foraging","flying","resting","chick provisioning","body mass","BMR","metabolism","tissue energy density","prey energy density","chick rearing","warming food","digestive assimilation efficiency","Common guillemot","Uria aalge","Black-legged kittiwake","Rissa tridactyla","Atlantic puffin","Fratercula arctica","razorbill","Alca torda","animal behaviour"],"keywordsPlace":["UK","Europe"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"A combination of data sourced directly, converted, or derived from existing primary literature, and long-term study data. The provenance of the data for each parameter per species is described in full in the supporting documentation, section Parameter calculations and sources.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:56:45.000Z","orcid":["0000-0002-7177-8237","0000-0003-4624-9023","0000-0002-2788-4606","0000-0001-5842-2247","0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","BioSS","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07b1105a-4a14-47e3-b491-9af59be90aff","10.5285/07b1105a-4a14-47e3-b491-9af59be90aff","doi:10.5285/07b1105a-4a14-47e3-b491-9af59be90aff"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset reviews key behavioural and physiological traits of four species of seabirds: Common guillemot Uria aalge; Razorbill Alca torda; Atlantic puffin Fratercula arctica; and Black-legged kittiwake Rissa tridactyla. These data describe the daily time allocation…","state":"published","title":"Time-activity budgets and energetics of common guillemot, razorbill, Atlantic puffin, and black-legged kittiwake","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image).   The 10 aggregate classes are groupings of 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.  The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. \n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"7115bc48-3ab0-475d-84ae-fd3126c20984","incomingCitationCount":3,"keyword":["Land cover","Mapping","land cover"],"keywordsOther":["land cover"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The percentage aggregate class is produced from the 25m raster product (which is derived from the vector product) by:\n1.\tUsing gdal_calc to split the 10 target classes into 10 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2.\tGdal_warp is then applied to each of the 10 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3.\tGdal_merge is then used to create a single file with 10 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:51:15.000Z","orcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7115bc48-3ab0-475d-84ae-fd3126c20984","10.5285/7115bc48-3ab0-475d-84ae-fd3126c20984","doi:10.5285/7115bc48-3ab0-475d-84ae-fd3126c20984"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product…","state":"published","title":"Land Cover Map 2015 (1km percentage aggregate class, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Cortese","Munson","Killen"],"authorFullName":["Cortese, D.","Munson, A.","Killen, S."],"authorGivenName":["D","A","SS"],"authorOrcid":["0000-0002-5746-3378"],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about data collected for two different studies looking at the effect of maze complexity, metabolic rate, temperature and social behaviour on minnows (Phoxinus phoxinus) learning behaviour. Minnows learning behaviour and metabolic rate were measured under laboratory conditions using custom-made maze arenas and intermittent-flow respirometry. The experiments were conducted at the University of Glasgow in 2021-2022.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/T008334/1).","documentType":"GEMINI_DOCUMENT","familyName":["Cortese","Munson","Killen"],"fullName":["Cortese, D.","Munson, A.","Killen, S.","Daphne Cortese"],"funder":["Natural Environment Research Council"],"givenName":["D","A","SS"],"grant":["NE/T008334/1"],"identifier":"c394ddd5-7cb4-4207-a84a-7b197628ef65","incomingCitationCount":0,"keyword":["Animal behaviour","Learning","Sociality","Metabolic rate","Maze complexity"],"keywordsOther":["Learning","Sociality","Metabolic rate","Maze complexity"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Adult European minnows of undetermined sex were collected from the river Kelvin (Glasgow, 55°52′42″N, 004°17′03″W) in September 2021 with hand-nets and minnow traps and immediately brought to laboratory aquaria facilities. After acclimation we conducted the experiments. \n\nThe first experiment aimed to look at the effect of maze complexity and metabolic rate on learning of European minnows. We tested two maze complexities, two-door and four-door choice mazes. We video recorded minnows in each maze in order to get measurements of their behaviour and then performed intermittent-flow respirometry to measure oxygen consumption over time of each fish and estimate their metabolic rate.\nThe second experiment focused on the effect of temperature exposure, social behaviour and metabolic rate on learning of European minnows. We tested learning abilities in two temperatures (14 and 20 degree) and two social conditions (isolation or in group of 4 individuals). We measured minnows behaviour in the 4-door maze in each condition and then performed intermittent-flow respirometry to measure oxygen consumption over time of each fish and estimate their metabolic rate.\nWe collected the following data for each experiment: movement data (x,y positions over time), oxygen values (mg O2/h) over time and some fish information about their ID and body mass.\n\nBehavioural analyses were conducted with automated video analyses using Ethovision for experiment 1 and via blind visual annotation from video recording for experiment 2. The slopes in oxygen consumption were calculated using using the FishResp R package (Morozov et al., 2019, https://doi.org/10.1093/conphys/coz003) from oxygen data collected using remote oxygen sensors.\n\nMultiple steps of data quality were performed. First data analyses from Ethovision were visually scored to check for potential errors in the tracking software to detect the fish. We further explored for errors during data explorations steps, analyses and statistical analyses in R.\n\nLimitations on the data's reliability: in experiment 2 the video couldn't be tracked by automated software therefore blind visual detections of behaviours were operated (each video that was scored was anonymous to the operator so that the operator had no idea of the treatment or fish ID).","metadataDate":"2026-08-18T15:39:02.000Z","orcid":["0000-0002-5746-3378"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-08-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c394ddd5-7cb4-4207-a84a-7b197628ef65"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about data collected for two different studies looking at the effect of maze complexity, metabolic rate, temperature and social behaviour on minnows (Phoxinus phoxinus) learning behaviour. Minnows learning behaviour and metabolic rate…","state":"published","title":"Learning behaviour and metabolic rate of common minnows under varying maze complexity, social conditions, and temperature treatments","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","elsdhi"]},{"availability":"Unknown","catalogue":"eidc","description":"This  data collection consists of ecological data and ecosystem services model output data from the Fragments, Flows and Urban Ecosystem Services (F3UES) project. The F3UES project was a research study looking at how the biodiversity of towns and cities contributes to human well-being. F3UES ran from 2012 to 2017, and research was carried out by Cranfield University, The University of Sheffield, The University of Exeter, and the British Trust for Ornithology, along with a range of partner organisations. The data collected include biodiversity surveys and ecosystem service model output maps.\n\nThe F3UES project was part of the Biodiversity and Ecosystem Service Sustainability (BESS) initiative, which was a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","identifier":"5aedeae2-a4ec-47be-97c9-b93348faeb61","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-24T23:08:39.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5aedeae2-a4ec-47be-97c9-b93348faeb61"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This  data collection consists of ecological data and ecosystem services model output data from the Fragments, Flows and Urban Ecosystem Services (F3UES) project. The F3UES project was a research study looking at how the biodiversity of towns and cities contributes…","state":"published","supplementalDescription":["Website of the F3UES project"],"supplementalName":["Fragments, Functions, Flows & Urban Ecosystems Services (F3UES)"],"title":"Ecological data and ecosystem services model output data from a South Midlands study area by the Fragments, Flows and Urban Ecosystem Services (F3UES) project","version":1.0,"view":["public","leav"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Moody"],"authorFullName":["Moody, C.S."],"authorGivenName":["C.S."],"authorOrcid":["0000-0002-0371-7416"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset shows the results of water chemistry and organic matter composition analysis, from water samples collected from surface waters in the UK and Faroe Islands. The water samples were collected from 2018-2020. ","documentType":"GEMINI_DOCUMENT","familyName":["Moody"],"fullName":["Moody, C.S.","Moody, C."],"funder":["Natural Environment Research Council","European Union"],"givenName":["C.S.","Cat"],"grant":["NE/R013365/1","730938"],"identifier":"81893731-75e4-45f3-bd6a-098208cf818c","incomingCitationCount":0,"keyword":["Environmental survey","hydrogen","oxygen","carbon","nitrogen","absorbance","cation","elemental content","water chemistry","headwater","stream","peat pool","reservoir","lake"],"keywordsOther":["hydrogen","oxygen","carbon","nitrogen","absorbance","cation","elemental content","water chemistry","headwater","stream","peat pool","reservoir","lake"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"This experiment was devised in 2018 and the water samples were collected during 2018 – 2020. The water samples were analysed for various water chemistry parameters within 3 months of collection.  Samples were stored in the fridge at 4 degrees. Organic matter was extracted by filtration and rotary evaporation within 3 months of collection and analysed for elemental composition within 3 months of extraction. \nLab analysis QA steps: 10% of all samples are analysed in a replicate. All equipment is calibrated at the beginning of a run and with multiple checks throughout. \nData analysis QA steps: all replicate data are compared, and if within 95% of each other, an average value is used. If the replicates were different, the samples were re-analysed. \nOnce CHNO content had been calculated, restrictions were placed on derived metrics based on physical properties (e.g. bonding). \n","locations":["POLYGON((-8.648 49.864, -8.648 62.975, 0.747 62.975, 0.747 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T08:36:11.000Z","orcid":["0000-0002-0371-7416"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/81893731-75e4-45f3-bd6a-098208cf818c","10.5285/81893731-75e4-45f3-bd6a-098208cf818c","doi:10.5285/81893731-75e4-45f3-bd6a-098208cf818c"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset shows the results of water chemistry and organic matter composition analysis, from water samples collected from surface waters in the UK and Faroe Islands. The water samples were collected from 2018-2020. ","state":"published","title":"Water chemistry and organic matter composition in UK and Faroe Island surface waters, 2018-2020","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Southampton"],"authorFamilyName":["Wood","Hawkins","Godbold","Solan"],"authorFullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"authorGivenName":["C.L.","S.J.","J.A.","Martin"],"authorRor":["https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details macrofaunal biomass across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the biomass of individual invertebrate species present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate cores of sediment were collected at each quadrat. They were sieved on a 0.5mm mesh and the macrofauna was removed, identified to species (or appropriate taxon) and individuals of each species weighed. Values for macrofaunal biomass are expressed as grams per square metre of sediment.\n\nBiomass data for mudflat habitats across Essex and Morecambe are complete, however, saltmarsh data is only available for one full Essex site (Tillingham Marsh), in one season (winter) and across all sites, at the 1m scale.\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":["Wood","Hawkins","Godbold","Solan"],"fullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.J.","J.A.","Martin"],"grant":["NE/J015644/1"],"identifier":"0990858a-facc-47c5-bfbe-58fa30431db8","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","Macoma balthica","Eteone longa","Pygospio elegans","Abra tenuis","Peringia ulvae","Corophium arenarium","Corophium volutator","Hediste diversicolor"],"keywordsOther":["Macoma balthica","Eteone longa","Pygospio elegans","Abra tenuis","Peringia ulvae","Corophium arenarium","Corophium volutator","Hediste diversicolor"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).\n\n3 cylindrical cores of sediment (10cm depth and diameter) were taken at each quadrat and fixed in 4 percent buffered formalin in seawater. The cores were then sieved on a 0.5mm mesh and the residue retained and preserved in 70 percent Industrial Methylated Spirit (IMS). Using a stereo microscope, all the animals were picked out of the residue, identified to species level (or appropriate taxon) and stored in vials containing 70 percent IMS. In cases where specimens had been damaged (any badly damaged specimens or parts of specimens where no head was present were separated into major group debris (annelid, mollusc and crustacea) pots. To obtain the biomass data, the individuals of each taxon (from one replicate) were blotted on tissue paper to remove any excess IMS. They were then weighed on a balance and the weight was recorded to 0.0001g. In situations where the animals were too light to register on the balance, a weight of 0.0001g was recorded. (The same method was used to obtain biomass values for major group debris.) The data were then multiplied by 127.323955 and rounded to 0.0001g to give results in metre squared. ","locations":["POLYGON((-3 51.5, -3 54.25, 1 54.25, 1 51.5, -3 51.5))"],"metadataDate":"2026-07-24T18:58:11.000Z","organisation":["University of Southampton","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0990858a-facc-47c5-bfbe-58fa30431db8","10.5285/0990858a-facc-47c5-bfbe-58fa30431db8","doi:10.5285/0990858a-facc-47c5-bfbe-58fa30431db8"],"resourceType":"Dataset","rightsHolder":["University of Southampton"],"ror":["https://ror.org/01ryk1543","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details macrofaunal biomass across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the biomass of individual invertebrate species present within the top 10cm of sediment. Three sites were located in Essex,…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) macrofaunal biomass in mudflat and saltmarsh habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Farkas","Green","Cross","Jones"],"authorFullName":["Farkas, K.","Green, E.","Cross, P.","Jones, D.L."],"authorGivenName":["K.","E.","P.","D.L."],"authorOrcid":["0000-0002-7068-3228"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the answers gathered from the 806 participants who successfully finished an on-line survey on risk perception of environment-associated risks. The survey was launched on the 15th of February 2018 and ran for five days. The survey contained best worst scaling (BWS) to understand people's perceptions to certain risks. In this study sixteen risks were included in the BWS including four air-, food- and waterborne illnesses and twelve other hazards. The BWS was run in two blocks to consider two factors: first the respondents selected which risk they fear the most/least and in the second block they selected the risk they believed they had the most/least control. The survey also contained a detailed questionnaire on the participants eating habits and health status. Participants were also asked about their knowledge on enteric pathogens and whether they have ever sought or would consider seeking advice on the symptoms. Respondents were also asked whether they have experienced the hazards described in the BWS and whether they have done anything to reduce the risks in their life. \n\nThe data were collected to gather information on people perceptions on environment-associated risks. This was done to understand the common knowledge on environment-associated pollutants and enlighten issues regarding risk management and mitigation. \n\nThe data were collected as part of the VIRAQUA project was funded by the Natural Environment Research Council (NERC) under the Environmental Microbiology and Human Health (EMHH) Programme (NE/M010996/1).","documentType":"GEMINI_DOCUMENT","familyName":["Farkas","Green","Cross","Jones"],"fullName":["Farkas, K.","Green, E.","Cross, P.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["K.","E.","P.","D.L."],"grant":["NE/M010996/1"],"identifier":"0869d961-99ca-4946-9192-f35afccdda38","incomingCitationCount":0,"keyword":["Norovirus","social survey"],"keywordsOther":["Norovirus","social survey"],"licence":"Open government licence","lineage":"All data was collected online and facilitated by Research Now Ltd, UK. The company provided a spreadsheet with answers from 1006 respondents. Responses taking less than 5 minutes to complete the survey and those giving repetitive answers were excluded. The number of respondents included in the dataset is 806. The spreadsheet was converted to a CSV file for ingestion into the EIDC.","metadataDate":"2026-07-24T18:57:31.000Z","orcid":["0000-0002-7068-3228"],"organisation":["Bangor University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0869d961-99ca-4946-9192-f35afccdda38","10.5285/0869d961-99ca-4946-9192-f35afccdda38","doi:10.5285/0869d961-99ca-4946-9192-f35afccdda38"],"resourceType":"Non-geographic dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the answers gathered from the 806 participants who successfully finished an on-line survey on risk perception of environment-associated risks. The survey was launched on the 15th of February 2018 and ran for five days. The survey contained best…","state":"published","title":"Perception of environmental and other risks - data from a 2018 social science questionnaire in the UK","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Mancini","Cooke","Woodcock","Greenop","Johnson","Isaac"],"authorFullName":["Mancini, F.","Cooke, R.","Woodcock, B.A.","Greenop, A.","Johnson, A.C.","Isaac, N.J.B."],"authorGivenName":["F.","R.","B.A.","A.","A.C.","N.J.B."],"authorOrcid":["0000-0003-4085-4978","0000-0003-0601-8888","0000-0003-0300-9951","0000-0002-7179-3947","0000-0003-1570-3764","0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains occupancy estimates for 1,535 species of six invertebrate taxa (Apoidea - bees, Syrphidae - hoverflies, Coccinellidae - ladybirds, Arachnida - spiders, Carabidae - carabids and Heteroptera - plant bugs) in regions of high, low and no cropland cover in Great Britain between 1990 and 2019. Occupancy is the proportion of 1km grid cells occupied by a species, as estimated by an occupancy-detection model. The dataset includes 999 samples from the model’s posterior distribution per species:year combination and for each of three regions of high, low  and no cropland cover.","documentType":"GEMINI_DOCUMENT","familyName":["Mancini","Cooke","Woodcock","Greenop","Johnson","Isaac"],"fullName":["Mancini, F.","Cooke, R.","Woodcock, B.A.","Greenop, A.","Johnson, A.C.","Isaac, N.J.B."],"funder":["Natural Environment Research Council"],"givenName":["F.","R.","B.A.","A.","A.C.","N.J.B."],"grant":["NE/S000100/2"],"identifier":"28538610-0936-48b8-b167-ee6ee8fdc491","incomingCitationCount":0,"keyword":["ChemPop","Biodiversity","invertebrates","agroecosystems","biodiversity trend","Carabidae","Syrphidae","Apoidea","Arachnida","Ladybirds","Spiders","Bees","Carabids","Hoverflies","Plantbugs"],"keywordsOther":["invertebrates","agroecosystems","biodiversity trend","Carabidae","Syrphidae","Apoidea","Arachnida","Ladybirds","Spiders","Bees","Carabids","Hoverflies","Plantbugs"],"keywordsProject":["ChemPop"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The dataset was generated using observations of species collated by UK recording schemes and societies as the input data for a Bayesian occupancy-detection model. The cropland cover regions were defined using the Land Cover Change 1990-2015 (25m raster, GB). The input species data was standardized according to the requirements of the model and to desired coverage. Observations of species had to meet the following criteria to be included in the final input dataset:\n  - Date of the record known to the day\n  - Location of the record known to 1x1km square precision\n  - Record was from 1990 onwards\n  - The location of the record was in GB (strictly England, Scotland and Wales)\n\nSpecies names were checked with guidance from the scheme organisers, duplicate records were then removed from the dataset. The occupancy modelling framework used here was based on the random walk model. Alterations made to the modelling framework include cropland cover region year effects in the state model and a categorical specification of list length in the detection model. For a complete description of the model, see the supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:28:40.000Z","orcid":["0000-0003-4085-4978","0000-0003-0601-8888","0000-0003-0300-9951","0000-0002-7179-3947","0000-0003-1570-3764","0000-0002-4869-8052"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-12-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/28538610-0936-48b8-b167-ee6ee8fdc491","10.5285/28538610-0936-48b8-b167-ee6ee8fdc491","doi:10.5285/28538610-0936-48b8-b167-ee6ee8fdc491"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains occupancy estimates for 1,535 species of six invertebrate taxa (Apoidea - bees, Syrphidae - hoverflies, Coccinellidae - ladybirds, Arachnida - spiders, Carabidae - carabids and Heteroptera - plant bugs) in regions of high, low and no cropland cover…","state":"published","title":"Annual estimates of occupancy for six invertebrate taxa in areas of high, low and no cropland cover in Great Britain, 1990-2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"availability":"Unknown","catalogue":"eidc","description":"Standardised Precipitation Index (SPI) data for different levels of Integrated Hydrological Units (IHU). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al [1]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The datasets cover the period from 1961 to 2012. [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy"],"fullName":["Tanguy, M."],"givenName":["Maliko"],"identifier":"eb4faf0f-5cab-44d4-8d8b-912669e7e31f","incomingCitationCount":0,"keyword":["SPI","indicator","Integrated Hydrological Units","accumulation period","drought","rainfall extremes"],"keywordsOther":["SPI","indicator","Integrated Hydrological Units","accumulation period","drought","rainfall extremes"],"licence":"Non-Open government licence","lineage":"Lineage of children datasets explained in their metadata records","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"metadataDate":"2026-07-25T14:52:19.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1434376296994","CEH:EIDC::1434376296994","https://catalogue.ceh.ac.uk/id/eb4faf0f-5cab-44d4-8d8b-912669e7e31f"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Index (SPI) data for different levels of Integrated Hydrological Units (IHU). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al [1]. SPI is calculated for different accumulation…","state":"published","title":"Standardised Precipitation Index time series for Integrated Hydrological Units (1961-2012) ","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of York","University of Stirling","Royal Botanical Gardens, Edinburgh","The South East Asia Rainforest Research Partnership","Forest Research Centre, Sandakan","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Waddell","Chapman","Hill","Hughes","Bin Sailim","Tangah","Banin"],"authorFullName":["Waddell, E.H.","Chapman, D.S.","Hill, J.K.","Hughes, M.","Bin Sailim, A.","Tangah, J.","Banin, L.F."],"authorGivenName":["E.H.","D.S.","J.K.","M.","A.","J.","L.F."],"authorOrcid":["0000-0003-2555-6390","0000-0003-1836-4112","0000-0002-1168-3914"],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements of herbivory occurrence and herbivory intensity within 21 oil palm dominated sites in Sabah, Malaysian Borneo. Within each site, herbivory measurements were recorded for Clidemia hirta and Melastoma spp. plants along two 100m transects, one at the forest-oil palm edge and the other in disturbed forest. In addition to herbivory measurement data, the dataset contains measurements of the number of reproductive organs, local density of C. hirta plants and local canopy cover. \n\nThese data were collected in order to examine evidence for the roles of natural enemy release and biotic resistance in invasion of C. hirta within agricultural landscapes of Sabah, Malaysian Borneo, where C. hirta co-occurs with native species of Melastomataceae.\n","documentType":"GEMINI_DOCUMENT","familyName":["Waddell","Chapman","Hill","Hughes","Bin Sailim","Tangah","Banin"],"fullName":["Waddell, E.H.","Chapman, D.S.","Hill, J.K.","Hughes, M.","Bin Sailim, A.","Tangah, J.","Banin, L.F.","Waddell, E."],"funder":["Natural Environment Research Council"],"givenName":["E.H.","D.S.","J.K.","M.","A.","J.","L.F.","Emily"],"grant":["NE/L002450/1"],"identifier":"2e2e2970-eb78-4005-b271-7101e615186a","incomingCitationCount":0,"keyword":["Borneo","Malaysia","Sabah","Agriculture","Biodiversity","Land use","Clidemia hirta","oil palm","Melastoma","Agricultural landscapes","Conservation set-aside","Flora","Forest degradation","Forest Fragmentation","Herbivory","Invasive plants","Logging","Phytophagous herbivores","Plantae","Plant-animal interactions","Roundtable on Sustainable Palm Oil","Tropical rainforest","tropical forest","degradation"],"keywordsOther":["Clidemia hirta","oil palm","Melastoma","Agricultural landscapes","Conservation set-aside","Flora","Forest degradation","Forest Fragmentation","Herbivory","Invasive plants","Logging","Phytophagous herbivores","Plantae","Plant-animal interactions","Roundtable on Sustainable Palm Oil","Tropical rainforest","tropical forest","degradation"],"keywordsPlace":["Borneo","Malaysia","Sabah"],"keywordsTheme":["Agriculture","Biodiversity","Land use"],"licence":"Open government licence","lineage":"Field surveys were conducted in February – April 2019. The 21 sites were all in Roundtable on Sustainable Palm Oil-certified oil palm plantations. Rainforest remnants, where the forest transects were conducted, were mostly isolated forest fragments (n=15 sites) and six sites were connected to larger tracts of forest reserves outside the oil palm plantation boundary. \n\nAt each site, C.hirta plants were surveyed along two 100 m transects, at the forest-oil palm edge (n=21) and in disturbed forest (n=19). In one site the forest interior was not accessible, so a disturbed forest transect was not completed, and in another site, there were no suitable C. hirta inside the forest to survey. Within each transect, up to ten C. hirta plants were surveyed for measures of herbivory, and for each C. hirta plant surveyed, the nearest native Melastoma individual, if present, was also surveyed for herbivory. We recorded two measures of herbivory: herbivory occurrence (the proportion of leaves that had sustained herbivore damage) and intensity (percentage of leaf area removed). \n\nThe dataset also includes measurements of number of reproductive organs for both C. hirta and Melastoma spp, the density of C. hirta along the transect and forest structure (e.g. canopy cover).\n","locations":["POLYGON((115.2 4.2, 115.2 7.4, 119.4 7.4, 119.4 4.2, 115.2 4.2))"],"metadataDate":"2026-07-24T19:34:16.000Z","orcid":["0000-0003-2555-6390","0000-0003-1836-4112","0000-0002-1168-3914"],"organisation":["University of York","University of Stirling","Royal Botanical Gardens, Edinburgh","The South East Asia Rainforest Research Partnership","Forest Research Centre, Sandakan","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-04-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2e2e2970-eb78-4005-b271-7101e615186a","10.5285/2e2e2970-eb78-4005-b271-7101e615186a","doi:10.5285/2e2e2970-eb78-4005-b271-7101e615186a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements of herbivory occurrence and herbivory intensity within 21 oil palm dominated sites in Sabah, Malaysian Borneo. Within each site, herbivory measurements were recorded for Clidemia hirta and Melastoma spp. plants along two 100m transects,…","state":"published","title":"Herbivory occurrence and intensity of Clidemia hirta and native Melastoma plants in oil palm-dominated landscapes containing embedded rainforest remnants, Sabah, Malaysian Borneo, 2019","topic":["0/Agriculture/","0/Biodiversity/","0/Land use/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Brighton","Exeter University","University of Hull","University of Birmingham"],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"authorGivenName":["P.","Andrew","D.","G."],"authorOrcid":["0000-0002-3707-1182"],"authorRor":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data were generated to investigate the influence of bed roughness on the dynamics of large sand-bed rivers like the South Saskatchewan, Canada. The influence of roughness was investigated by using a numerical model to simulate the evolution of the river bed for a hypothetical sand-bed river modelled on the South Saskatchewan. The model generated information on the evolving river bed topography, water depth, flow velocities and sediment transport rates, over a period of 28 years as part of NERC project NE/L00738X/1","documentType":"GEMINI_DOCUMENT","familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["P.","Andrew","D.","G."],"grant":["NE/L00738X/1"],"identifier":"790e507c-ce99-47ca-99b4-c97a684ee8c6","incomingCitationCount":0,"keyword":["Environmental survey","river bed"],"keywordsOther":["river bed"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"These files contain results from numerical simulations of river bed dynamics for a hypothetical sand-bed river modelled on the South Saskatchewan River, Canada. The aim of these simulations was to investigate the influence of changes in the representation of bed roughness and sediment transport on simulated river morphodynamics for large sand-bed rivers like the South Saskatchewan. Simulations were carried out using a 2D depth-averaged numerical model that solves the shallow water equations, coupled with equations for sediment transport and bed level change (i.e. resulting from sediment mass conservation). Results are provided for two simulations (A and B). Simulation A used a van Rijn sediment transport formulation and depth-dependent Chezy roughness law. Simulation B used an Engelund-Hanson sediment transport formulation and constant (depth-independent) Chezy roughness. In both simulations, the model was initialized with a flat bed and using banklines that were digitized for an 8 km reach of the South Saskatchewan River, Canada located immediately downstream of the town of Outlook, Saskatchewan. The model domain measures 800 cells (downstream) by 300 cells (cross-stream). Cell dimensions are 10 m (downstream) by 5 m (cross-stream). Simulations were run for 28 years using an inlet hydrograph based on gauged flow conditions for the South Saskatchewan River.\n\nFiles are named Simulation_A_ #.csv, Simulation_B_ #.csv\n\nThe # represents the results file number, where each number corresponds to a time slice in the model simulation (1 being the earliest and 56 being the latest). Simulations represent a duration of 28 years, with two time slices per year. Odd-numbered time slices represent low flow conditions and even-numbered time slices represent high flow conditions.","locations":["POLYGON((-108.105 53.43, -108.105 56.029, -103.831 56.029, -103.831 53.43, -108.105 53.43))"],"metadataDate":"2026-07-25T06:55:13.000Z","orcid":["0000-0002-3707-1182"],"organisation":["University of Brighton","Exeter University","University of Hull","University of Birmingham","University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/790e507c-ce99-47ca-99b4-c97a684ee8c6","10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6","doi:10.5285/790e507c-ce99-47ca-99b4-c97a684ee8c6"],"resourceType":"Dataset","ror":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Data were generated to investigate the influence of bed roughness on the dynamics of large sand-bed rivers like the South Saskatchewan, Canada. The influence of roughness was investigated by using a numerical model to simulate the evolution of the river bed for a hypothetical…","state":"published","title":"Numerical simulations of river bed dynamics for the South Saskatchewan River, Canada","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Cardiff University","Imperial College London"],"authorFamilyName":["Durance","Feeley","Perkins","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"authorFullName":["Durance, I.","Feeley, H.B.","Perkins, D.M.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"authorGivenName":[" I.","H.B.","D.M.","M.C.","C.","S.J.","G."],"authorOrcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-6785-4049","0000-0002-8174-302X"],"authorRor":["https://ror.org/03kk7td41","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data are macroinvertebrate composition and abundance in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as control (no addition). Nylon mesh bags containing deciduous leaves were fixed in both experimental and control reaches to estimate leaf decomposition rates. The macroinvertebrate composition of the nylon mesh bags was surveyed in January 2013 and again in March 2013 in each sampling reach. \n\nThe main goal of this survey was to examine how aquatic biodiversity responds to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley, Dr Dan Perkins and Marian Pye were in charge of collecting, processing and sorting the invertebrate samples. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme","documentType":"GEMINI_DOCUMENT","familyName":["Durance","Feeley","Perkins","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"fullName":["Durance, I.","Feeley, H.B.","Perkins, D.M.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"funder":["Natural Environment Research Council"],"givenName":["I."," I.","H.B.","D.M.","M.C.","C.","S.J.","G.","Isabelle"],"grant":["NE/J014818/1"],"identifier":"3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","incomingCitationCount":0,"keyword":["Wales","Plynlimon","Llyn Brianne","aquatic invertebrates","benthic community","land use","acidity","aquatic animal","invertebrate","biological diversity","benthic ecosystem"],"keywordsOther":["aquatic invertebrates","benthic community","land use","acidity","aquatic animal","invertebrate","biological diversity","benthic ecosystem"],"keywordsPlace":["Wales","Plynlimon","Llyn Brianne"],"licence":"Open government licence","lineage":"Each stream was divided into an upstream reference zone and a downstream experimental zone. Deciduous leaves were added directly to the stream and by fixing 'Onion bags' of leaves to the stream bed and bank. \n\nIn early November 2012, 48 replicate litter bags (24 per reference zone and 24 per experimental zone) of two mesh types, fine and coarse filled with air dried deciduous leaves were secured in pairs to randomly distributed metal poles each of the study streams. The mesh bags were then covered with cobbles to facilitate biological colonisation. At the end of the 'before' treatment half the litter bags or 6 fine and 6 coarse mesh litter bags were removed gently from both the reference and experimental study zones within each stream. At the same time 6 new fine mesh and 6 new coarse mesh litter bags were added to each pole to measure the decomposition during the 'after' manipulation period. These bags were left until the end the experimental period. At this point all of the remaining litter bags were removed. \n\nDirectly upon collection, all litter bags were preserved in 70 per cent ethanol on site, within individual clear polystyrene bags, marked with an identifying code and transported back to the laboratory for processing. Once in the laboratory the leaf material from each litter bag was rinsed carefully under tap water under a fine sieve and air dried at room temperature. All macroinvertebrates were separated from the contents of each litter bag, and identified to species. Data was recorded onto an Excel spreadsheet. Data was exported from the Excel spreadsheet to a comma separated value file for ingestion into the Environmental Information Data Centre (EIDC).","locations":["POLYGON((-3.785 52.107, -3.785 52.518, -3.641 52.518, -3.641 52.107, -3.785 52.107))"],"metadataDate":"2026-07-24T20:41:13.000Z","orcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-6785-4049","0000-0002-8174-302X"],"organisation":["Cardiff University","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","10.5285/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","doi:10.5285/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d"],"resourceType":"Dataset","ror":["https://ror.org/03kk7td41","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"These data are macroinvertebrate composition and abundance in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches)…","state":"published","title":"Macroinvertebrate leaf decomposers in response to organic matter addition to streams in the Welsh uplands (2013)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Grant Institute","University of St Andrews"],"authorFamilyName":["Spears","Watt","Carvalho","Paterson"],"authorFullName":["Spears, B.M.","Watt, J.","Carvalho, L.","Paterson, D.M."],"authorGivenName":["B.M.","J.","L.","D.M."],"authorOrcid":["0000-0003-1174-6476","0000-0002-2912-4969","0000-0002-9768-9902"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a dataset obtained from analysis of lake sediment and overlying water from six sites along a depth gradient, in Loch Leven, Scotland, over a period of one year. Parameters measured from the water and included in the dataset are dissolved oxygen concentration, conductivity, pH, temperature, concentrations of three forms of phosphorus, and ammonium and silica concentrations. Chlorophyll a concentration measured from the sediment surface is included, and within the sediment concentrations of seven different forms of phosphorus are provided. ","documentType":"GEMINI_DOCUMENT","familyName":["Spears","Watt","Carvalho","Paterson"],"fullName":["Spears, B.M.","Watt, J.","Carvalho, L.","Paterson, D.M.","Spears, B."],"givenName":["B.M.","J.","L.","D.M.","Bryan"],"identifier":"76a2bd9a-fb02-4f37-91b9-4835eb31ab7b","incomingCitationCount":0,"keyword":["Loch Leven","Perth & Kinross","Scotland","UK","Water quality","chemistry","phosphorus","sediment","lake"],"keywordsOther":["chemistry","phosphorus","sediment","lake"],"keywordsPlace":["Loch Leven","Perth & Kinross","Scotland","UK"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Sampling and analyses were performed using documented methods, as described in the contextual metadata accompanying this dataset. Please contact the author if further details are required.","locations":["POLYGON((-3.416 56.175, -3.416 56.224, -3.326 56.224, -3.326 56.175, -3.416 56.175))"],"metadataDate":"2026-07-25T06:53:43.000Z","orcid":["0000-0003-1174-6476","0000-0002-2912-4969","0000-0002-9768-9902"],"organisation":["Centre for Ecology & Hydrology","Grant Institute","University of St Andrews","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1401807237847","CEH:EIDC::1401807237847","https://catalogue.ceh.ac.uk/id/76a2bd9a-fb02-4f37-91b9-4835eb31ab7b","10.5285/76a2bd9a-fb02-4f37-91b9-4835eb31ab7b","doi:10.5285/76a2bd9a-fb02-4f37-91b9-4835eb31ab7b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"This is a dataset obtained from analysis of lake sediment and overlying water from six sites along a depth gradient, in Loch Leven, Scotland, over a period of one year. Parameters measured from the water and included in the dataset are dissolved oxygen concentration,…","state":"published","title":"Environmental and chemical determinands associated with phosphorus in Loch Leven bed sediments (2004-2005)","topic":["0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Chemical composition of freshwater samples from sites in Northern England. Measurements of pH, dissolved major ions (Na, Mg, K, Ca, Cl, NO3, SO4), dissolved organic carbon (DOC), dissolved Al, Fe(II) and total Fe, and measurements of Al, Fe(II) and total Fe on samples following dialysis.","documentType":"GEMINI_DOCUMENT","familyName":["Lofts"],"fullName":["Lofts, S."],"givenName":["Steve"],"identifier":"dc33a786-9798-4ef3-9e66-22707ae40d67","incomingCitationCount":0,"keyword":["Cumbria","Lancashire","Yorkshire","Lune","Ribble","Eden","Tees","Leven","aquatic","pH","sodium","magnesium","potassium","alkalinity","freshwater","chemistry","conductivity","aluminium","iron","sulphate","nitrate","chloride","calcium","dissolved organic carbon","Water quality"],"keywordsOther":["aquatic","pH","sodium","magnesium","potassium","alkalinity","freshwater","chemistry","conductivity","aluminium","iron","sulphate","nitrate","chloride","calcium","dissolved organic carbon","Water quality"],"keywordsPlace":["Cumbria","Lancashire","Yorkshire","Lune","Ribble","Eden","Tees","Leven"],"licence":"Non-Open government licence","lineage":"Dip samples analysed at CEH Windermere, results transferred to Excel spreadsheet.","locations":["POLYGON((-4.115 53.622, -4.115 54.778, -1.438 54.778, -1.438 53.622, -4.115 53.622))"],"metadataDate":"2026-07-25T14:23:36.000Z","organisation":["Natural Environment Research Council","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1252065579651","CEH:EIDC::1252065579651","https://catalogue.ceh.ac.uk/id/dc33a786-9798-4ef3-9e66-22707ae40d67"],"resourceType":"Dataset","ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Chemical composition of freshwater samples from sites in Northern England. Measurements of pH, dissolved major ions (Na, Mg, K, Ca, Cl, NO3, SO4), dissolved organic carbon (DOC), dissolved Al, Fe(II) and total Fe, and measurements of Al, Fe(II) and total Fe on samples…","state":"published","supplementalDescription":["Lofts, Stephen; Tipping, Edward; Hamilton-Taylor, John. 2008 The chemical speciation of Fe(III) in freshwaters. Aquatic Geochemistry, 14 (4). 337-358. "],"title":"Chemistry of iron in freshwaters of Northwest England","version":1.0,"view":["public","phtr"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service shows the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK.  Suitability is mapped for individual years 2007 to 2011; the average and standard deviations for the whole period are also provided.\n\nThe model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity regimes in the period, and describes how many times infection could have been completed within running 48 hour periods through the year.\n\nThis research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH).","documentType":"GEMINI_DOCUMENT","familyName":["Purse"],"fullName":["Purse, B."],"givenName":["B."],"identifier":"da198f95-d93d-4759-bf51-6ec0b8bdfaee","incomingCitationCount":0,"keyword":["Modelling","Phytophthora ramorum","Phytophthora kernoviae "],"keywordsOther":["Phytophthora ramorum","Phytophthora kernoviae "],"keywordsTheme":["Modelling"],"licence":"Non-Open government licence","locations":["POLYGON((-12.622 47.654, -12.622 60.985, 6.981 60.985, 6.981 47.654, -12.622 47.654))"],"metadataDate":"2026-08-12T12:00:27.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-15T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/da198f95-d93d-4759-bf51-6ec0b8bdfaee"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service shows the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK.  Suitability is mapped for individual years 2007 to 2011; the average and standard deviations for the whole period are also…","state":"published","title":"Web Map Service of Climate suitability for Phytophthora ramorum and Phytophthora kernoviae infection in the UK","topic":["0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr","Maberly"],"authorFullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"authorGivenName":["I.D.","H.","S.C."],"authorOrcid":["0000-0002-6898-1429","0000-0002-2028-4843","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Esthwaite Water, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr","Maberly"],"fullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"givenName":["I.D.","H.","S.C.","Heidrun"],"identifier":"82c3c730-8a58-4a59-9aaa-00ab53315507","incomingCitationCount":0,"keyword":["Lake District","England","Esthwaite Water","Water quality","Environmental survey","temperature profile","lake","freshwater","meteorological parameter"],"keywordsOther":["temperature profile","lake","freshwater","meteorological parameter"],"keywordsPlace":["Lake District","England","Esthwaite Water"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Esthwaite Water are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2012 to 2015. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-3 54.344, -3 54.374, -2.97 54.374, -2.97 54.344, -3 54.344))"],"metadataDate":"2026-07-25T08:36:59.000Z","orcid":["0000-0002-6898-1429","0000-0002-2028-4843","0000-0003-3541-5903"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/82c3c730-8a58-4a59-9aaa-00ab53315507","10.5285/82c3c730-8a58-4a59-9aaa-00ab53315507","doi:10.5285/82c3c730-8a58-4a59-9aaa-00ab53315507"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Esthwaite Water, a lake in the North West of England. The lake temperatures are measured in various depths of the lake…","state":"published","title":"Data from automatic water monitoring buoy from Esthwaite Water, 2012 to 2015","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Dominoni"],"authorFullName":["Dominoni, D."],"authorGivenName":["D."],"authorOrcid":["0000-0003-2063-9955"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements of four physiological parameters measured in blood samples collected from zebra finches held in indoor cages over a period of 4 months. We measured four parameters: glucose concentration, non-enzymatic anti-oxidant capacity, lipid peroxidation and relative telomere length. Zebra finches were held in groups separated into three different treatments: a control group where birds were held under natural light-dark cycles, a group where birds were exposed to dim artificial light at night during the entire night (FLAN) and a group where birds where partially exposed to artificial light at night, between dusk and midnight (PLAN). Samples were taken at the start, mid-term, and end of the experiment.","documentType":"GEMINI_DOCUMENT","familyName":["Dominoni"],"fullName":["Dominoni, D."],"givenName":["D."],"identifier":"55f10059-82c0-4216-a004-e6d690d628e1","incomingCitationCount":0,"keyword":["Artificial light at night","birds","telomere length","oxidative stress","glucose","eco-physiology"],"keywordsOther":["Artificial light at night","birds","telomere length","oxidative stress","glucose","eco-physiology"],"licence":"Open government licence","lineage":"After collection, one drop of blood was used to measure glucose concentration via a glucose strip test. The remaining blood was kept on ice, immediately brought to a laboratory, where it was centrifuged to separate red blood cells and plasma. These were transferred into two separate tubes and stored at -80 until further analysis.\nPlasma samples were used to analyse non-enzymatic anti-oxidant capacity using the Oxy-test and a lipid peroxidation marker, MDA, using mass spectrometry (LC-MS). The red blood cells were used to measure relative telomere length using a real-time RT-qPCR assay.\n","metadataDate":"2026-07-24T23:05:30.000Z","orcid":["0000-0003-2063-9955"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55f10059-82c0-4216-a004-e6d690d628e1","10.5285/55f10059-82c0-4216-a004-e6d690d628e1","doi:10.5285/55f10059-82c0-4216-a004-e6d690d628e1"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements of four physiological parameters measured in blood samples collected from zebra finches held in indoor cages over a period of 4 months. We measured four parameters: glucose concentration, non-enzymatic anti-oxidant capacity, lipid…","state":"published","title":"Blood characteristics of zebra finches following exposure to artificial light at night","version":1.0,"view":["public","glenn"]},{"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","JPEG","PNG"],"description":"This web map shows positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data).","documentType":"GEMINI_DOCUMENT","identifier":"090f990e-e24c-499b-87eb-33a193b50c63","incomingCitationCount":0,"keyword":["Biodiversity","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsTheme":["Biodiversity","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":"2026-08-12T11:42:44.000Z","organisation":["Centre for Ecology & Hydrology"],"publicationDate":"2020-12-03T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/090f990e-e24c-499b-87eb-33a193b50c63"],"resourceType":"Service","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This web map shows positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In…","state":"published","title":"Web map service for Model estimates of expected diversity of positive plant habitat condition indicators","topic":["0/Biodiversity/","0/Mapping/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}