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Surveys were conducted…","state":"published","temporalExtentText":"Data collected from 2016 to 2018","title":"Social surveys to environmental scientists and local stakeholders in Chinese villages to understand knowledge management dynamics","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorOrcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. 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Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-09-02T10:06:15.000Z","orcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5a28a303-abde-4bdd-b170-942b50d831fd","10.5285/5a28a303-abde-4bdd-b170-942b50d831fd","doi:10.5285/5a28a303-abde-4bdd-b170-942b50d831fd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Land Cover Map 2022 (land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","O'Neil, A.W."],"authorGivenName":["C.S. ","C.G.","A.W."],"authorOrcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. 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","C.G.","A.W."],"grant":["NE/Y006208/1"],"identifier":"99ecdc84-5313-48c2-9fad-6a5e8ad3953e","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","Biodiversity Action Plan","land cover","map","habitat"],"keywordsOther":["Biodiversity Action Plan","land cover","map","habitat"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2024 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-09-02T10:06:35.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/99ecdc84-5313-48c2-9fad-6a5e8ad3953e","10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e","doi:10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Land Cover Map 2024 (land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"authorFullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"authorGivenName":["K.B.","J.A.","K.","S.","E.F.","B."],"authorOrcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-5240-7828"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the following: nest building, identity of breeding pairs, date when the first egg is laid, number of eggs, hatch date and the number and condition of fledglings for great tits, blue tits, marsh tits and coal tits. The data presented were collected in Wytham Woods, Oxfordshire, UK during April and June in 2020 and 2021 by Keith McMahon, Sam Croft and Kristina Beck, as part of a long-term nestbox project on the breeding biology of birds. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1), The ecology of behavioural contagion in natural systems.","documentType":"GEMINI_DOCUMENT","familyName":["Beck","Firth","McMahon","Croft","Cole","Sheldon"],"fullName":["Beck, K.B.","Firth, J.A.","McMahon, K.","Croft, S.","Cole, E.F.","Sheldon, B."],"funder":["Natural Environment Research Council"],"givenName":["K.B.","J.A.","K.","S.","E.F.","B."],"grant":["NE/S010335/1"],"identifier":"ae6f821a-35a1-4a37-af4d-ca7cb1c83a10","incomingCitationCount":0,"keyword":["Animal behaviour","breeding","ornithology","great tit","blue tit","coal tit","marsh tit","Parus major","Parus palustris","Parus ater","Cyanistes caeruleus","bird"],"keywordsOther":["breeding","ornithology","great tit","blue tit","coal tit","marsh tit","Parus major","Parus palustris","Parus ater","Cyanistes caeruleus","bird"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"During April - June, all nestboxes were visited weekly to obtain records of nest building, the identity of the breeding pair, the date when the first egg is laid, the number of eggs, hatch date, and the number and condition of fledglings. These data were entered into our internal Edward Grey Institute (EGI) Bird data Management Project application (EBMP), where they underwent a number of quality checks. The data provided here were extracted from EBMP. In csv format for deposit into the EIDC.","locations":["POLYGON((-1.347 51.762, -1.347 51.781, -1.316 51.781, -1.316 51.762, -1.347 51.762))"],"metadataDate":"2026-07-25T13:23:44.000Z","orcid":["0000-0002-5027-0207","0000-0001-7183-4115","0000-0002-5240-7828"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae6f821a-35a1-4a37-af4d-ca7cb1c83a10","10.5285/ae6f821a-35a1-4a37-af4d-ca7cb1c83a10","doi:10.5285/ae6f821a-35a1-4a37-af4d-ca7cb1c83a10"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the following: nest building, identity of breeding pairs, date when the first egg is laid, number of eggs, hatch date and the number and condition of fledglings for great tits, blue tits, marsh tits and coal tits. The data presented…","state":"published","temporalExtentText":"Data collected from 2020 to 2021","title":"Bird breeding data for Wytham Woods, Oxfordshire, UK, 2020 and 2021","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Nord University","University of Cambridge","SMART Research Institute"],"authorFamilyName":["Eycott","Turner","Luke","Advento"],"authorFullName":["Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"authorGivenName":["A.E.","E.C.","S.H.","A.D."],"authorOrcid":["0000-0002-8609-1091","0000-0003-2715-2234","0000-0002-8335-5960"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Herbivory was measured 17 times in total (every 3-4 months) between April 2013 and August 2017. Eighteen plots were examined across three estates - plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 data only) were replanted in 2014. Plots were organised in triplets; in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: Reduced vegetation cover, normal vegetation management and enhanced vegetation cover. \n\nThe data contain damage estimated in three ways: by eye for the whole crown, by eye for the 17th frond, and by image processing for 20 leaflets of the 17th frond. ","documentType":"GEMINI_DOCUMENT","familyName":["Eycott","Turner","Luke","Advento"],"fullName":["Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D.","Eycott, A."],"funder":["Natural Environment Research Council"],"givenName":["A.E.","E.C.","S.H.","A.D.","A."],"grant":[" NE/P00458X/1"],"identifier":"c2fbd22c-1ce9-4435-b4b0-e333addef346","incomingCitationCount":0,"keyword":["Indonesia","Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)","Environmental risk","oil palm"],"keywordsOther":["oil palm"],"keywordsPlace":["Indonesia"],"keywordsProject":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"At each recording session, three palms were selected at random from within experimental plots. Random palm selection was done using the rnd function in excel before visiting the field, as each palm in the experimental plots has a unique identifying tag. In the replanted stands where palms are not tagged, the randomisation was done by counting steps from the corner of the plot, again using the rnd function in excel.\n\nFirst the damage to the crown form herbivory was estimated visually from the ground. Then, counting from the youngest fully-opened frond, the 17th frond in the crown of the palm was cut and caught in a white cloth. Frond 17 represents a middle-aged frond (aged between 8.5 and 9 months) in mature palms and is commonly used by the oil palm industry as a standard to measure herbivory and herbivore load. The damage to the frond (in percent) was estimated visually. Then twenty paired leaflets, spaced evenly along the frond, were cut, placed flat on a white board and photographed (using a Nikon D90). Photography and visual damage estimates were always carried out by the same person, from the same angle (bottom left), to reduce sampling bias.\n\nPhotographs were pre-processed to remove noise and converted to binary images in Microsoft Paint. The total leaflet area was then measured in Fiji (https://fiji.sc/). A second image was prepared in Microsoft Paint, with all herbivory damage 'filled in', such that the leaflets appeared to be intact. Where leaflet tips were missing, a conservative estimate for the leaflet tip was drawn in, based on the length of neighbouring leaflets. This second image was measured in Fiji in the same way and the percent of the leaflet area consumed by herbivores was calculated. \n\nBasic data checks were carried out (checks for impossible values, such as an increase in leaf area after processing or extreme discrepancy between visual estimate and image processing values).","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"metadataDate":"2026-07-25T14:00:49.000Z","orcid":["0000-0002-8609-1091","0000-0003-2715-2234","0000-0002-8335-5960"],"organisation":["Nord University","University of Cambridge","SMART Research Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-02-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2fbd22c-1ce9-4435-b4b0-e333addef346","10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346","doi:10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established…","state":"published","supplementalName":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme website"],"temporalExtentText":"Data collected from 2013 to 2017","title":"Palm frond damage from herbivory in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Plymouth","University of Plymouth ","University of York","University of St. Andrews","University of Leeds"],"authorFamilyName":["Koot","Blake","Havelock","Garrett","Smeaton","Barlow","Gehrels"],"authorFullName":["Koot, M.B.","Blake, W.","Havelock, G.M.","Garrett, E.","Smeaton, C.","Barlow, N.L.M.","Gehrels, W.R."],"authorGivenName":["M.B.","W.","G.M.","E.","C.","N.L.M.","W.R."],"authorOrcid":["0000-0002-3591-6903","0000-0001-9447-1361","0000-0001-5862-1596","0000-0001-9985-0651","0000-0003-4535-2555","0000-0002-2713-2543","0000-0002-5088-5834"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details radioisotope concentrations (210Pb, 214Pb, 137Cs, 241Am) of 1358 down core soil samples collected from 19 saltmarshes across the UK between 2018 -2021.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1","documentType":"GEMINI_DOCUMENT","familyName":["Koot","Blake","Havelock","Garrett","Smeaton","Barlow","Gehrels"],"fullName":["Koot, M.B.","Blake, W.","Havelock, G.M.","Garrett, E.","Smeaton, C.","Barlow, N.L.M.","Gehrels, W.R."],"funder":["Natural Environment Research Council"],"givenName":["M.B.","W.","G.M.","E.","C.","N.L.M.","W.R."],"grant":["NE/R010846/1"],"identifier":"a85756f9-2685-4ec4-ac44-3210425ba70e","incomingCitationCount":0,"keyword":["UK","Scotland","Wales","England","Carbon Storage in Intertidal Environments (C-SIDE)","Soil","radioisotopes","210-Lead","210Pb","137-Cesium","137Cs","241-Americium","241Am","214-Lead","214Pb","activities","wetland","soil texture","soil","sediment","salt marsh","organic matter","organic carbon","intertidal zone","coastal area","carbon","radionuclide","caesium","blue carbon"],"keywordsOther":["radioisotopes","210-Lead","210Pb","137-Cesium","137Cs","241-Americium","241Am","214-Lead","214Pb","activities","wetland","soil texture","soil","sediment","salt marsh","organic matter","organic carbon","intertidal zone","coastal area","carbon","radionuclide","caesium","blue carbon"],"keywordsPlace":["UK","Scotland","Wales","England"],"keywordsProject":["Carbon Storage in Intertidal Environments (C-SIDE)"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Across UK saltmarshes wide diameter (60mm) soil cores were collected. The location of each coring site was recorded using Differential Global Positioning System (DGPS). Prior to analysis the samples were stored at 4 degrees Celsius. Upon return to the laboratory the cores were described following the Troels-Smith scheme. The cores were sub-sampled at 1cm intervals and radioisotope measurements was undertaken using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of Plymouth. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.02 49.844, -8.02 60.974, 2.177 60.974, 2.177 49.844, -8.02 49.844))"],"metadataDate":"2026-07-25T13:20:17.000Z","orcid":["0000-0002-3591-6903","0000-0001-9447-1361","0000-0001-5862-1596","0000-0001-9985-0651","0000-0003-4535-2555","0000-0002-2713-2543","0000-0002-5088-5834"],"organisation":["University of Plymouth","University of Plymouth ","University of York","University of St. Andrews","University of Leeds","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2023-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a85756f9-2685-4ec4-ac44-3210425ba70e","10.5285/a85756f9-2685-4ec4-ac44-3210425ba70e","doi:10.5285/a85756f9-2685-4ec4-ac44-3210425ba70e"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details radioisotope concentrations (210Pb, 214Pb, 137Cs, 241Am) of 1358 down core soil samples collected from 19 saltmarshes across the UK between 2018 -2021.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment…","state":"published","temporalExtentText":"Data collected from 2018 to 2021","title":"Radioisotope concentrations of soil samples from UK saltmarshes collected between 2018 and 2021","topic":["0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Leeds","IISER, Pune","Unaffiliated","St. Joseph's college, Calicut"],"authorFamilyName":["Gloor","Barua","Galbraith","Hegde","Sunny","Tiwari"],"authorFullName":["Gloor, E.","Barua, D.","Galbraith, D.R.","Hegde, B.","Sunny, R.","Tiwari, R."],"authorGivenName":["E.","D.","D.R.","B.","R."],"authorOrcid":["0000-0002-9384-6341","0000-0002-8761-0084","0000-0002-5555-4823","0000-0002-8723-607X","0000-0002-2191-769X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes tree eco-physiological traits characterising ranges of functioning of various components of trees. Specifically the dataset includes measurements of thermal limits of functioning of photosystem II, hydraulic safety margin, turgor loss point, CO2 assimilation versus temperature curves, leaf morphological traits for nine representative species measured during two seasons: post-monsoon and summer.\n\nThe overall purpose of the measurements from this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative site (Sirsi).","documentType":"GEMINI_DOCUMENT","familyName":["Gloor","Barua","Galbraith","Hegde","Sunny","Tiwari"],"fullName":["Gloor, E.","Barua, D.","Galbraith, D.R.","Hegde, B.","Sunny, R.","Tiwari, R."],"funder":["Natural Environment Research Council"],"givenName":["E.","D.","D.R.","B.","R.","Emanuel"],"grant":["NE/R005079/1"],"identifier":"d057f4e4-c2c7-4cea-a5de-1562f970a533","incomingCitationCount":0,"keyword":["Safety limits","Tree traits","tropical forest","tree"],"keywordsOther":["Safety limits","Tree traits","tropical forest","tree"],"licence":"Open government licence","lineage":"The trait data were measured during targeted campaigns in 2020 and 2021 at a forest fragment close to Sirsi. Measurement methodologies:\n1) Thermal traits: a) CO2 assimilation temperature relationship, derived from leaf A-T (CO2 \t\t\t\tassimilation versus temperature) curves measured using LICOR 6400 and b) Temperature limits of Photosystem II functioning derived from fluorescence measurement of leaf disks heated in water bath.\n2) Hydraulic traits - a) Stress (negative pressure) at which 50% of conductivity is lost based on \t\t\tvulnerability curves and b) Turgor loss point measured using PV curves.\n","locations":["POLYGON((74.823 14.6, 74.823 14.63, 74.845 14.63, 74.845 14.6, 74.823 14.6))"],"metadataDate":"2026-07-25T14:17:11.000Z","orcid":["0000-0002-9384-6341","0000-0002-8761-0084","0000-0002-5555-4823","0000-0002-8723-607X","0000-0002-2191-769X"],"organisation":["University of Leeds","IISER, Pune","Unaffiliated","St. Joseph's college, Calicut","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d057f4e4-c2c7-4cea-a5de-1562f970a533","10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533","doi:10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"This dataset includes tree eco-physiological traits characterising ranges of functioning of various components of trees. Specifically the dataset includes measurements of thermal limits of functioning of photosystem II, hydraulic safety margin, turgor loss point, CO2…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Functional traits of tropical forest tree species, Sirsi, Western Ghats, India, 2021","version":1.0,"view":["public","clwe"]},{"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","ecowings"],"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","ecowings"],"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":"2026-09-22T07:57:17.000Z","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":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the erosion rate (percent mass loss per hour) observed in sediment cores (16 centimetre (cm) diameter, 30cm height) subjected to flume tank flow for three 'waterfall' flows (Low, medium, high). Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 metre (m), 10-100 m and 100-1000 m. 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":"7e3b5549-881f-47ea-b003-08542bf6193e","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","Sediment erosion rate","grassland","salt marsh","erosion","sediment","soil stability"],"keywordsOther":["Sediment erosion rate","grassland","salt marsh","erosion","sediment","soil stability"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Sediment cores (16 centimetre (cm) diameter, 30 cm height) including above ground vegetation were collected in each 1 x 1 m quadrat. Each core was placed horizontally in the 'waterfall force' of the re-circulation flume for 1.5 hours (0.5 hour at low force, 0.5 hour at medium force, 0.5 at high force). Sediment erosion rate was calculated from the amount of mass lost over half an hour with measurements taken time = 0 minutes (mins), 5 mins, 10mins, 15mins and 30mins. 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 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":"2026-09-15T08:40:07.000Z","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":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7e3b5549-881f-47ea-b003-08542bf6193e","10.5285/7e3b5549-881f-47ea-b003-08542bf6193e","doi:10.5285/7e3b5549-881f-47ea-b003-08542bf6193e"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the erosion rate (percent mass loss per hour) observed in sediment cores (16 centimetre (cm) diameter, 30cm height) subjected to flume tank flow for three 'waterfall' flows (Low, medium, high). Sampling was conducted at six salt marsh sites at…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) the erosion rate of sediment cores from salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Southern Denmark","Zayed University"],"authorFamilyName":["Rovelli","Attard","Stahl","Glud"],"authorFullName":["Rovelli, L.","Attard, K.M.","Stahl, H.","Glud, R.N."],"authorGivenName":["L.","K. M.","H.","R. N."],"authorOrcid":["0000-0003-4011-7484"],"authorRor":["https://ror.org/03yrrjy16","https://ror.org/03snqfa66"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains daytime and nighttime averages of oxygen production and consumption rates from representative sites at six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) of the Hampshire River Avon catchment (UK). Rates were obtained for the benthic compartment using the non-invasive Aquatic Eddy Co-variance (AEC) and in the water column with sample incubations during seasonal field campaigns conducted between spring 2013 and winter 2014.","documentType":"GEMINI_DOCUMENT","familyName":["Rovelli","Attard","Stahl","Glud"],"fullName":["Rovelli, L.","Attard, K.M.","Stahl, H.","Glud, R.N."],"givenName":["L.","K. M.","H.","R. N.","Lorenzo"],"identifier":"849d72e0-a940-48e3-913c-8e7f781131d3","incomingCitationCount":0,"keyword":["Hampshire Avon","England","United Kingdom","Aquatic eddy co-variance","Water incubation","Dissolved oxygen flux"],"keywordsOther":["Aquatic eddy co-variance","Water incubation","Dissolved oxygen flux"],"keywordsPlace":["Hampshire Avon","England","United Kingdom"],"licence":"Open government licence","lineage":"All data were generated by the authors. As the presented data depended on measured physical parameters, checks were made to ensure that each instrument was properly calibrated and serviced prior to each campaign to keep accuracy and precision within the manufacturer tolerances. The time series of dissolved oxygen and 3D flow velocity were properly despiked, and quality controls were in place at each step of the actual flux calculations, following established protocols.","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-09-15T08:40:25.000Z","orcid":["0000-0003-4011-7484"],"organisation":["University of Southern Denmark","Zayed University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/849d72e0-a940-48e3-913c-8e7f781131d3","10.5285/849d72e0-a940-48e3-913c-8e7f781131d3","doi:10.5285/849d72e0-a940-48e3-913c-8e7f781131d3"],"resourceType":"Dataset","ror":["https://ror.org/03yrrjy16","https://ror.org/03snqfa66","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains daytime and nighttime averages of oxygen production and consumption rates from representative sites at six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) of the Hampshire River Avon catchment (UK). Rates were obtained…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Summary data of reach scale oxygen consumption and production in the streambed and in the water column at six tributaries of Hampshire River Avon collected seasonally in 2013 to 2014","version":1.0,"view":["public","kath"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sharps","Feeney","Bisht","Thomas","May"],"authorFullName":["Sharps, K.","Feeney, C.","Bisht, T.","Thomas, A.","May, L."],"authorGivenName":["Katrina","Christopher","Tarun","Amy","Linda"],"authorOrcid":["0000-0003-3265-1505","0000-0003-2175-1842","0000-0003-4963-6547","0000-0002-4929-7285","0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset presents model predictions of soil erosion impacts on land and freshwater systems in the Lake Victoria Basin. These impacts include: (1) soil nutrient balances as a function of nitrogen (N) and phosphorus (P) loads to the land surface from fertiliser, manure and atmospheric deposition, minus rates of nutrient loss via soil erosion; and (2) total sediment and nutrient exports to water aggregated per sub-catchment (t/yr), which combines nutrients lost in surface runoff and subsurface flows with additional losses associated with erosion of existing soil nutrient stocks. These data are particularly useful for better understanding terrestrial N and P dynamics, and should provide valuable data for analysis of soil fertility, food security and water quality.\n\nThese data were generated for each year (2000, 2005, 2010, 2015 & 2022) using two models from the InVEST ecosystem services platform: the Nutrient Delivery Ratio (NDR) and Sediment Delivery Ratio (SDR) models. Each of these models relies on a set of simple empirical functions, which has the advantage of requiring few model inputs that are easy to provide and allow for rapid modelling of large spatial areas, but come with the disadvantage of missing potentially important processes. For example, the SDR model only considers soil erosion via rills and sheetwash; it does not capture gullies, landslides or river channel change. Additionally, it was not possible to calibrate either model due to a scarcity of observational data. However, the models do produce generally expected patterns of sediment and nutrient dynamics. Hence, the outputs should still be useful for identifying areas of relatively high and low values and for assessing relative changes over time. \n\nThe outputs themselves consist of raster gridded maps at 90 x 90 metre resolution, as well as vector polygons representing sub-catchments. The sub-catchments aggregate the total sediment, N and P exports from land to water for all grid cells present within each sub-catchment's boundary. All maps cover the full catchment area (196,883 sq. km excluding the lake itself) of the Lake Victoria Basin.","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Feeney","Bisht","Thomas","May"],"fullName":["Sharps, K.","Feeney, C.","Bisht, T.","Thomas, A.","May, L."],"funder":["Natural Environment Research Council"],"givenName":["Katrina","Christopher","Tarun","Amy","Linda","C."],"grant":["NE/X006247/1"],"identifier":"02977a5d-00a0-44f8-baee-d2e0eecb5df0","incomingCitationCount":0,"keyword":["Lake Victoria","Modelling","Soil","Water quality","freshwater","land","nitrogen","nutrient balance","phosphorus","sediment","soil erosion","InVEST"],"keywordsOther":["freshwater","land","nitrogen","nutrient balance","phosphorus","sediment","soil erosion","InVEST"],"keywordsPlace":["Lake Victoria"],"keywordsTheme":["Modelling","Soil","Water quality"],"licence":"Open government licence","lineage":"The model outputs were ultimately generated from the InVEST platform’s NDR and SDR models. Each of these has a similar structure that uses a digital elevation model (DEM), catchment polygon and threshold flow accumulation (in this case, 1000) to generate a river network and a surrounding topographically varying land surface within the catchment. This is combined with simple formulae that represent land-water connectivity to allow the models to calculate the delivery of matter (here, sediments, N and P) from land to water. Gross loss rates of sediment, N and P from the land surface are governed by combinations of land cover (with each land cover class represented in a map layer and corresponding table of biophysical coefficients), rainfall, soil structure and slope length and steepness. Connectivity parameters govern how much of these gross losses from land ultimately impact the river network (becoming “net” losses).\n\nTopsoil (0-20 cm) nutrient concentration maps from iSDA-soil were combined with erosion rate predictions to estimate rates of soil total nitrogen and total phosphorus fluxes with soil loss. These soil erosion-associated nutrient losses were subtracted from maps produced by the NDR model that represent the total N and P loads from fertilisers, manure and atmospheric deposition to compute nutrient balances on all land grid-cells. Soil nutrient levels were also multiplied by sediment export rates maps produced by the SDR model and aggregated for each subcatchment (i.e. summing values from all grid cells within a subcatchment). These aggregated values were added to aggregated N and P exports to the river network (produced by the NDR model) to obtain more complete total N and P exports from land to water.\n\nQA checks were undertaken to ensure all raster layers were exactly aligned with one another to the same spatial extent, coordinate reference system and resolution (exactly 90 m). Additionally, model outputs were quantitatively evaluated against the limited pool of observational data available to us from catchment outlets all along Lake Victoria’s shoreline. Predicted sediment, and total N and P exports (that each account for the erosion of soil nutrient stocks in addition to losses via runoff captured by the NDR model) were evaluated against available observational measurements from the years 2000 and 2005. In most cases, predicted sediment, N and P losses were predicted to be within 1 order of magnitude of the observations (a widely accepted standard for evaluation of catchment-level exports – see the supporting documentation for more details) and thus our results are shown to be reasonably accurate.\n\nTo reduce the overall sizes of each data file, we converted the data from floating point to integer format. Before converting our data into integer format, we multiplied each raster layer (individual band in our GeoTiffs) by 100. Therefore, the user of our data will need to divide the values stored in our raster layers by 100 to get the “true” values (in units of kg/grid cell/year to 2 decimal places).\n\nAfter converting our data into integer format, each raster band was harmonised to the same coordinate reference system and spatial extent before stacking into multi-band GeoTiff files. The data contained in the geopackage file requires no transformation prior to analysis or other use. The geopackage consists of 5 layers (named after each simulated year: 2000, 2005, 2010, 2015 and 2022).  Please see the Supporting Documentation for further details on attributes recorded in the geopackage layers.","locations":["POLYGON((29.421 -3.842, 29.421 1.28, 35.89 1.28, 35.89 -3.842, 29.421 -3.842))"],"metadataDate":"2026-07-24T18:52:35.000Z","orcid":["0000-0003-3265-1505","0000-0003-2175-1842","0000-0003-4963-6547","0000-0002-4929-7285","0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/02977a5d-00a0-44f8-baee-d2e0eecb5df0","10.5285/02977a5d-00a0-44f8-baee-d2e0eecb5df0","doi:10.5285/02977a5d-00a0-44f8-baee-d2e0eecb5df0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents model predictions of soil erosion impacts on land and freshwater systems in the Lake Victoria Basin. These impacts include: (1) soil nutrient balances as a function of nitrogen (N) and phosphorus (P) loads to the land surface from fertiliser, manure…","state":"published","temporalExtentText":"Data collected from 2000 to 2022","title":"Modelled erosional impacts on soil and freshwater nitrogen and phosphorus dynamics in Lake Victoria’s catchment area, 2000-2022","topic":["0/Modelling/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg"],"authorFamilyName":["Ladd","Banerjee","Chanda","Ghosh","Balke"],"authorFullName":["Ladd, C.","Banerjee, S.","Chanda, A.","Ghosh, T.","Balke, T."],"authorGivenName":["Cai","Sumana","Abhra","Tuhin","Thorsten"],"authorOrcid":["0000-0001-5437-6474","0000-0002-1009-8123","0000-0002-3280-1959","0000-0002-3466-867X","0000-0001-7733-5069"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"This dataset contains acceleration data measured from low-cost and open-source bottom-mounted floats called 'Mini Buoys', to identify hydrological tipping points between expanding and eroding mangrove edges of Lothian Island in the Indian Ganges Brahmaputra Meghna Delta from 15-12-2021 to 08-01-2022. Both the East and West portions of the island were measured. The purpose of the survey was to determine the hydrological forcing around the island - where mangrove stability transitions from expanding to eroding.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Banerjee","Chanda","Ghosh","Balke"],"fullName":["Ladd, C.","Banerjee, S.","Chanda, A.","Ghosh, T.","Balke, T.","Cai Ladd"],"funder":["Natural Environment Research Council"],"givenName":["Cai","Sumana","Abhra","Tuhin","Thorsten"],"grant":["NE/S008926/1"],"identifier":"9054799f-6994-427f-8d03-0c08607496f1","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Environmental survey","Mini Buoy","Inundation duration","Current velocity","Wave orbital velocity","Mangrove lateral dynamics","Tipping points","Ganges Brahmaputra Meghna Delta","India","Lothian Island"],"keywordsOther":["Mini Buoy","Inundation duration","Current velocity","Wave orbital velocity","Mangrove lateral dynamics","Tipping points","Ganges Brahmaputra Meghna Delta","India","Lothian Island"],"keywordsTheme":["Modelling","Hydrology","Environmental survey"],"licence":"Open government licence","lineage":"Data to assess the hydrological tipping point between expanding and eroding mangrove edges was gathered at western (21°38′53″N, 088°18′45″E) and eastern (21°40′05″N, 088°20′44″E) Lothian island, Indian GBM delta. B4+ Mini Buoys were deployed along seaward mangrove edges where there was a transition from expansion to erosion. Each logger sampled y-axis acceleration at 1 Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard. No processing was done to acceleration data.\n\nData are provided in two folders: LothianEast and LothianWest - capturing acceleration data in different portions of Lothian Island. LothianEast contains 10 * .csv files; LothianWest contains *9 .csv files. Each .csv file contains acceleration data for an individual Mini Buoy - containing equipment metadata and sub-minute measurements of acceleration data, provided as YYYY/MM/DD HH:MM:SS. Acceleration data are measured as gravity-compensated acceleration values in g-force (G).","locations":["POLYGON((88.3 21.607, 88.3 21.709, 88.35 21.709, 88.35 21.607, 88.3 21.607))"],"metadataDate":"2026-07-25T10:15:29.000Z","orcid":["0000-0001-5437-6474","0000-0002-1009-8123","0000-0002-3280-1959","0000-0002-3466-867X","0000-0001-7733-5069"],"organisation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9054799f-6994-427f-8d03-0c08607496f1","10.5285/9054799f-6994-427f-8d03-0c08607496f1","doi:10.5285/9054799f-6994-427f-8d03-0c08607496f1"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains acceleration data measured from low-cost and open-source bottom-mounted floats called 'Mini Buoys', to identify hydrological tipping points between expanding and eroding mangrove edges of Lothian Island in the Indian Ganges Brahmaputra Meghna Delta…","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration."],"temporalExtentText":"Data collected from 2021 to 2022","title":"Hydrodynamic data from the interface between expanding and eroding mangrove forests in the Indian Ganges Brahmaputra Meghna Delta, December 2021-January 2022","topic":["0/Modelling/","0/Hydrology/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Cranfield University"],"authorFamilyName":["Beale","Grabowski","Vercruysse"],"authorFullName":["Beale, J.E.P.","Grabowski, R.C.","Vercruysse, K."],"authorGivenName":["J.E.P.","R.C.","K."],"authorOrcid":["0000-0003-4154-8032","0000-0002-0926-1202","0000-0001-9716-5191"],"authorRor":["https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)"],"description":"The data was produced as part of a study to determine human impacts on river planform change within the context of short- and long-term river channel dynamics. To this end, the Himalayan Sutlej-Beas River system was used as a case study to (i) systematically assess changes in river planform characteristics over centennial, annual, seasonal, and episodic timescales; (ii) connect the observed patterns of planform change to human-environment drivers and interactions; and (iii) conceptualise these geomorphic changes in terms of timescale-dependant evolutionary trajectories. The dataset was derived from historic maps (1847-1850) and remote sensing data (Landsat over a 30-year period). It comprises post monsoon season wet river area annually 1989-2018, post monsoon season active gravel bars annually 1989-2018, active channel area (maximum extent between 1989-2018), active channel width annually 1989-2018, active channel width assessed from historic map (1847–1850), and the Anabranching index, annually 1989-2018. The work was supported by the Natural Environment Research Council (Grant NE/S01232X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Beale","Grabowski","Vercruysse"],"fullName":["Beale, J.E.P.","Grabowski, R.C.","Vercruysse, K."],"funder":["Natural Environment Research Council"],"givenName":["J.E.P.","R.C.","K."],"grant":["NE/S01232X/1"],"identifier":"f7aada06-7352-44c0-988e-2f4b31690189","incomingCitationCount":0,"keyword":["Fluvial geomorphology","river planform","Landsat","river","geomorphology","remote sensing"],"keywordsOther":["Fluvial geomorphology","river planform","Landsat","river","geomorphology","remote sensing"],"licence":"Open government licence","lineage":"Wet river area: The annual wet river area was extracted automatically from satellite imagery of Landsat 5 to 8 (1989 to 2018) using average post-monsoon season (October-December) values of the modified Normalized Difference Water Index (mDNWI) to differentiate water and land areas (Huang et al., 2018). The wet river area was extracted from the mNDWI raster images by the threshold mNDWI > 0.15. After manual editing to remove individual water pixels away from the river, the raster images were converted to polygon shapefiles). There is a feature for each year of measurement. The wet river area was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nActive gravel bars: Visible red reflectance from Landsat 5 to 8 (1989 to 2018) was used to identify bare gravel bars showing high reflectance (> 0.16) using average post-monsoon season (October-December) values. Only pixels within a buffer defined by the maximum extent of the wet river area over the observed period were considered. After applying the reflectance threshold to raster images, shapefiles were created to define the active gravel bars as features. There is a feature for each year of measurement.\n\nActive Channel Area: The wet river area shapefiles from individual years 1989-2018 were aggregated together to produce a single feature that delineates areas that were wetted in the post-monsoon season in one or more years between 1989-2018, to estimate the extent of the active channel.\n\nActive channel width: The channel width was considered as the width of the wet area, including any gravel bars where that were surrounded by water. This width was automatically calculated every 2 km and was repeated for wet areas estimates derived from an historic map (“The Trans-Sutluj Division, comprising the districts of Jalundhur, Hoshyarpoor and Kangra”) (Revenue Survey of India, 1852) which was produced between 1847 and 1852.  Width was measured perpendicular to the riverbank. The mean active channel width was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nAnabranching Index (AI): The anabranching index reflects the number of active channels separated by bars or islands, measured in at least 10 cross sections (spaced the width of one braid plain apart). The AI was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nQuality control: Landsat satellite data was used to collect information on spectral surface reflectance.  These data are accompanied by quality assessment bands which were used to select data before processing, particularly with respect to obtaining cloud-free images.  Processing was conducted by the project team, with using and spot validation against aerial satellite photography. Data were checked for errors at all stages by members of the project team at Cranfield University.","locations":["POLYGON((74.957 30.78, 74.957 32.225, 76.706 32.225, 76.706 30.78, 74.957 30.78))"],"metadataDate":"2026-07-25T18:08:58.000Z","orcid":["0000-0003-4154-8032","0000-0002-0926-1202","0000-0001-9716-5191"],"organisation":["Cranfield University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7aada06-7352-44c0-988e-2f4b31690189","10.5285/f7aada06-7352-44c0-988e-2f4b31690189","doi:10.5285/f7aada06-7352-44c0-988e-2f4b31690189"],"resourceType":"Dataset","rightsHolder":["Cranfield University"],"ror":["https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"The data was produced as part of a study to determine human impacts on river planform change within the context of short- and long-term river channel dynamics. To this end, the Himalayan Sutlej-Beas River system was used as a case study to (i) systematically assess…","state":"published","temporalExtentText":"Data collected from 1847 to 1850; Data collected from 1989 to 2018","title":"River planform dynamics in the Beas and Sutlej catchments, India, 1847 and 1989-2018","version":1.0,"view":["public","margla"]},{"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"]},{"authorAffiliation":["University of Edinburgh","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Shortman","Perry","Cavers"],"authorFullName":["Shortman, J.","Perry, A.","Cavers, S."],"authorGivenName":["J.","A. ","S."],"authorOrcid":["0000-0002-7889-7597","0000-0003-2139-9236"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured for each cone between June and July 2024. Traits include cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile and colour, seed number and mean seed weight. ","documentType":"GEMINI_DOCUMENT","familyName":["Shortman","Perry","Cavers"],"fullName":["Shortman, J.","Perry, A.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["J.","A. ","S."],"grant":["NE/V019813/1"],"identifier":"b98e92cf-6ff5-42e2-8053-021ea04db01c","incomingCitationCount":0,"keyword":["Scotland","Phenology","genetic variation","Caledonian pinewood","common garden experiment","phenotype","Pinus sylvestris","Scots pine","reproductive traits"],"keywordsOther":["genetic variation","Caledonian pinewood","common garden experiment","phenotype","Pinus sylvestris","Scots pine","reproductive traits"],"keywordsPlace":["Scotland"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A long-term common garden trial was established in 2012 at Yair (latitude 55.603625, longitude -2.893025), using five-year-old saplings. It contains trees from 8 families (where a family comprises individuals grown from seed sampled from a single common tree) from each of 21 Scottish pinewoods and is arranged into four complete randomised blocks (see supporting document for reference). \n\nOver four days in February 2024, cone number was measured as a count of all visible cones on the south-facing side of each tree. Then, five cones were sampled from each tree for trait measurement. Cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile, colour, seed number and mean seed weight were all recorded for every cone. Cone ratio (cone width / length) and seed viability (number of filled seeds / number of empty seeds) were also recorded. ","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-29T12:17:39.000Z","orcid":["0000-0002-7889-7597","0000-0003-2139-9236"],"organisation":["University of Edinburgh","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-01-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b98e92cf-6ff5-42e2-8053-021ea04db01c","10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c","doi:10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/01nrxwf90","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Long-term multisite Scots pine trial, Scotland: cone and seed phenotypes, 2024 ","topic":["0/Phenology/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Stirling","Research Systems & Controls"],"authorFamilyName":["Feuchtmayr","Jones","Clarke","Maberly"],"authorFullName":["Feuchtmayr, H.","Jones, I.D.","Clarke, M.","Maberly, S.C."],"authorGivenName":["H.","I.D.","M. ","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0002-6898-1429","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 Blelham Tarn, a lake in the North West of England. The lake temperatures are measured at 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12 m depth (see supporting documentation for more information). Measurements were taken every four minutes and calculated as hourly averages.  All data is given in GMT (Greenwich Mean Time). The data were collected by the UK Centre for Ecology & Hydrology.\n\nThis work 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":["Feuchtmayr","Jones","Clarke","Maberly"],"fullName":["Feuchtmayr, H.","Jones, I.D.","Clarke, M.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","I.D.","M. ","S.C.","Heidrun"],"grant":["NE/R016429/1"],"identifier":"603629d9-618c-4a26-8a1d-235a4c8f4791","incomingCitationCount":1,"keyword":["Lake District National Park","Blelham Tarn","UK-SCAPE","Lake temperature","temperature depth profile","solar radiation flux","wind speed","high-resolution data","air temperature"],"keywordsOther":["Lake temperature","temperature depth profile","solar radiation flux","wind speed","high-resolution data","air temperature"],"keywordsPlace":["Lake District National Park","Blelham Tarn"],"keywordsProject":["UK-SCAPE"],"licence":"Open government licence","lineage":"The instruments measure data every four minutes, the hourly averages provided in this dataset are calculated by an Oracle database. 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Any data gaps are due to buoy maintenance work or sensor / logger problems.","locations":["POLYGON((-2.985 54.393, -2.985 54.398, -2.971 54.398, -2.971 54.393, -2.985 54.393))"],"metadataDate":"2026-07-25T06:42:29.000Z","orcid":["0000-0002-2028-4843","0000-0002-6898-1429","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","University of Stirling","Research Systems & Controls","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/603629d9-618c-4a26-8a1d-235a4c8f4791","10.5285/603629d9-618c-4a26-8a1d-235a4c8f4791","doi:10.5285/603629d9-618c-4a26-8a1d-235a4c8f4791"],"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 Blelham Tarn, a lake in the North West of England. 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The data were transferred to spreadsheets in the 2000s and are maintained by the Centre for Ecology & Hydrology, Lancaster. 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Data were recorded from up to 569 1km squares sited across Britain, selected by random stratified sample.  Data were entered onto a database, and cross-checked against the original paper sheets, with any data-entry errors being corrected.  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