{"numFound":2333,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2","results":[{"publicationDate":"2011-09-27T00:00:00.000+00:00","metadataDate":"2026-03-09T17:40:03.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["K."],"authorFamilyName":["Blyth"],"authorFullName":["Blyth, K."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Soil moisture and Electrical Resistivity Tomography (ERT) measurements within the top metre of soil at Church Field, Chimney Meadow National Nature Reserve. Church Field lies on a clay lens which overlies surrounding sand and gravel soils. Apart from the A and B horizons, the clay was found to be fairly homogenous down to the maximum depth of 1.1m of the access pit. On the 1:250,000 Soil Map of South East England the location falls into the soils category 832 Kelmscott Association which comprise mostly permeable fine loamy soils over limestone gravel and variably affected by groundwater and with some risk of flooding. However, on the more detailed 1:25,000 scale Sand and Gravel Resources Map of the Thames Valley the clay lens is depicted as Oxford Clay substrate without sand and gravel cover, surrounded by sand and gravel terraces cropping out at the surface.","documentType":"GEMINI_DOCUMENT","identifier":"59da8e86-04cc-4f46-a23c-65513d025326","incomingCitationCount":1,"givenName":["C.","K."],"familyName":["Stratford","Blyth"],"fullName":["Stratford, C.","Blyth, K."],"keyword":["Chimney Meadow","Oxfordshire","Soil","soil water"],"keywordsPlace":["Chimney Meadow","Oxfordshire"],"keywordsTheme":["Soil"],"keywordsOther":["soil water"],"licence":"Open government licence","lineage":"Data collected in the field by CEH. Samples were collected from a soil pit dug 13.75m from the north end of the ERT transect and offset 1.0m to the west of the transect line. Fixed volume soil samples were collected in stainless steel rings of dimension 100mm deep x 99mm I.D. at sample depth in increments of 10cm up to 1.0m. At each depth, two samples were collected. The samples were stood in a water bath until they reached an equilibrium (saturated) weight. The samples were then placed in (1) a sand bath (2) a sand/kaolin bath (3) pressure vessels set at a range of suctions in order to progressively dry out the samples. Water-release curves were constructed for each soil level. ","locations":["POLYGON((-1.51 51.693, -1.51 51.711, -1.459 51.711, -1.459 51.693, -1.51 51.693))"],"organisation":["UK Centre for Ecology & Hydrology","Natural Environment Research Council","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1317996491250","CEH:EIDC::1317996491250","https://catalogue.ceh.ac.uk/id/59da8e86-04cc-4f46-a23c-65513d025326","10.5285/59da8e86-04cc-4f46-a23c-65513d025326","doi::10.5285/59da8e86-04cc-4f46-a23c-65513d025326"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"state":"published","title":"Chimney Meadow (Church Field) soil water retention measurements (pF curves)","topic":["0/Soil/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"Soil moisture and Electrical Resistivity Tomography (ERT) measurements within the top metre of soil at Church Field, Chimney Meadow National Nature Reserve. Church Field lies on a clay lens which overlies surrounding sand and gravel soils. Apart from the A and B horizons,..."},{"publicationDate":"2020-02-25T00:00:00.000+00:00","metadataDate":"2026-03-09T17:29:42.000+00:00","authorAffiliation":["Nord University","University of Cambridge","SMART Research Institute"],"authorGivenName":["A.E.","E.C.","S.H.","A.D."],"authorFamilyName":["Eycott","Turner","Luke","Advento"],"authorFullName":["Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"authorOrcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"catalogue":"eidc","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","funder":["Natural Environment Research Council"],"grant":[" NE/P00458X/1"],"identifier":"c2fbd22c-1ce9-4435-b4b0-e333addef346","incomingCitationCount":0,"givenName":["A.","A.E.","E.C.","S.H.","A.D."],"familyName":["Eycott","Turner","Luke","Advento"],"fullName":["Eycott, A.","Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"keyword":["Indonesia","Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)","Environmental risk","oil palm"],"keywordsPlace":["Indonesia"],"keywordsProject":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"keywordsTheme":["Environmental risk"],"keywordsOther":["oil palm"],"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))"],"orcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"organisation":["Nord University","University of Cambridge","SMART Research Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"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"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193"],"state":"published","supplementalName":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme website"],"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"],"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..."},{"publicationDate":"2022-10-17T00:00:00.000+00:00","metadataDate":"2026-03-09T17:28:19.000+00:00","authorAffiliation":["University of Reading","UK Centre for Ecology & Hydrology","University of Eastern Finland"],"authorGivenName":["J.M.W.","L.M.","L.","J.","N.J.","J.D.","R.D."],"authorFamilyName":["Ryalls","Bromfield","Bell","Jasper","Mullinger","Blande","Girling"],"authorFullName":["Ryalls, J.M.W.","Bromfield, L.M.","Bell, L.","Jasper, J.","Mullinger, N.J.","Blande, J.D.","Girling, R.D."],"authorOrcid":["https://orcid.org/0000-0003-2015-3605","https://orcid.org/0000-0003-2895-2030","https://orcid.org/0000-0001-6656-9724","https://orcid.org/0000-0002-3148-6950","https://orcid.org/0000-0001-6822-0649","https://orcid.org/0000-0001-8816-8075"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"These datasets contain aphid/parasitoid abundances and glucosinolate concentrations associated with Brassica napus plants within eight field-based diesel exhaust and ozone fumigation rings located at the University of Reading’s Sonning farm.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P001971/2 NE/P002404/1"],"identifier":"b28c13f2-7355-4c4b-8c34-10470e1772d1","incomingCitationCount":1,"givenName":["J.M.W.","L.M.","L.","J.","N.J.","J.D.","R.D.","James"],"familyName":["Ryalls","Bromfield","Bell","Jasper","Mullinger","Blande","Girling"],"fullName":["Ryalls, J.M.W.","Bromfield, L.M.","Bell, L.","Jasper, J.","Mullinger, N.J.","Blande, J.D.","Girling, R.D.","Ryalls, J."],"keyword":["Pollution","Aphid population","Diesel exhaust","Glucosinolates","Parasitoid recruitment","air pollution","ozone","animal population","exhaust gas","Brassica napus","rapeseed"],"keywordsTheme":["Pollution"],"keywordsOther":["Aphid population","Diesel exhaust","Glucosinolates","Parasitoid recruitment","air pollution","ozone","animal population","exhaust gas","Brassica napus","rapeseed"],"licence":"Open government licence","lineage":"The experiment was conducted within field fumigation rings over two summer seasons (2018 and 2019). Brassica napus plants were separated into four groups of plants: 1) inoculated with 10 Brevicoryne brassicae aphids and netted until harvest, 2) inoculated with 50 B. brassicae aphids and netted until harvest, 3) inoculated with no aphids, and 4) inoculated with 10 B. brassicae aphids then exposed to free-living parasitoids. Aphid populations were collected from plants with pooters and weighed. Parasitoids were counted from sticky traps that were surrounded by aphid-infested and non-infested plants (groups 1-3). Parasitoids were taxonomically classified into two groups (Diaeretiella rapae and other parasitoids). Brassica napus plants were harvested (from groups 2 and 3) and analysed for glucosinolate concentrations. The number of D. rapae parasitoids that emerged from parasitised aphids were counted from sticky traps inside the nets surrounding plants that were previously exposed to free-living parasitoids.","locations":["POLYGON((-0.9 51.48, -0.9 51.5, -0.88 51.5, -0.88 51.48, -0.9 51.48))"],"orcid":["https://orcid.org/0000-0003-2015-3605","https://orcid.org/0000-0003-2895-2030","https://orcid.org/0000-0001-6656-9724","https://orcid.org/0000-0002-3148-6950","https://orcid.org/0000-0001-6822-0649","https://orcid.org/0000-0001-8816-8075"],"organisation":["University of Reading","UK Centre for Ecology & Hydrology","University of Eastern Finland","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b28c13f2-7355-4c4b-8c34-10470e1772d1","10.5285/b28c13f2-7355-4c4b-8c34-10470e1772d1","doi::10.5285/b28c13f2-7355-4c4b-8c34-10470e1772d1"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/05v62cm79"],"state":"published","title":"Parasitoid abundance, aphid population mass and glucosinolate concentration from experimental ozone and diesel exhaust fumigation of Brassica napus","topic":["0/Pollution/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"These datasets contain aphid/parasitoid abundances and glucosinolate concentrations associated with Brassica napus plants within eight field-based diesel exhaust and ozone fumigation rings located at the University of Reading’s Sonning farm."},{"publicationDate":"2017-04-20T00:00:00.000+00:00","metadataDate":"2026-03-26T13:39:19.000+00:00","authorAffiliation":["Cardiff University"],"authorGivenName":["I.","H.B.","C."],"authorFamilyName":["Durance","Feeley","Gutierrez-Canovas"],"authorFullName":["Durance, I.","Feeley, H.B.","Gutierrez-Canovas, C."],"authorOrcid":["https://orcid.org/0000-0002-4138-3349","https://orcid.org/0000-0003-0386-0586","https://orcid.org/0000-0002-6785-4049"],"authorRor":["https://ror.org/03kk7td41"],"catalogue":"eidc","description":"These data consist of stream water chemistry for selected Welsh upland rivers. The sampling sites were located in sixty one small and medium catchments. Catchments were chosen from the Welsh Acid Water Surveys (WAWS) program (41 sites) and the Wye catchment (20 sites). Results for pH, alkalinity, conductivity and major cation and anion measurements are presented for the WAWS catchments. Results for pH, alkalinity, conductivity and major anion measurements are presented for the Wye catchment. Samples from the Wye catchment were collected in May 2012. Samples from the WAWS catchments were taken during the summer and autumn of 2012 and spring and summer of 2013.\n\nThe data were collected to characterise water chemistry variation along a gradient of aquatic biodiversity associated with different environmental settings for example land-use intensify and recovery from acidification. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley was in charge of collecting and preserving the water samples. Analysis of the water samples was carried out at the Forest Research Laboratories. 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","funder":["Natural Environment Research Council"],"grant":["NE/J014818/1"],"identifier":"d329ca18-c3d8-49f0-b2fd-5243d76dc650","incomingCitationCount":0,"givenName":["Isabelle","I.","H.B.","C."],"familyName":["Durance","Feeley","Gutierrez-Canovas"],"fullName":["Durance, I.","Feeley, H.B.","Gutierrez-Canovas, C."],"keyword":["Wales","DURESS","aquatic organism","invertebrate","land use","acidity","benthic ecosystem"],"keywordsPlace":["Wales"],"keywordsProject":["DURESS"],"keywordsOther":["aquatic organism","invertebrate","land use","acidity","benthic ecosystem"],"licence":"Open government licence","lineage":"Filtered and unfiltered water samples were collected in situ using standardised procedures. Samples were then sent to the Forest Research Laboratory to be analysed for pH, alkalinity, conductivity, major anions and cations. Results were entered into an Excel spreadsheet. Data were exported as comma separated files for ingestion into the Environmental Information Data Centre (EIDC)\n","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"orcid":["https://orcid.org/0000-0002-4138-3349","https://orcid.org/0000-0003-0386-0586","https://orcid.org/0000-0002-6785-4049"],"organisation":["Cardiff University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d329ca18-c3d8-49f0-b2fd-5243d76dc650","10.5285/d329ca18-c3d8-49f0-b2fd-5243d76dc650","doi::10.5285/d329ca18-c3d8-49f0-b2fd-5243d76dc650"],"availability":"Available","resourceType":"Dataset","rightsHolder":["Cardiff University"],"ror":["https://ror.org/03kk7td41","https://ror.org/04xw4m193"],"state":"published","title":"Water chemistry of Welsh upland rivers (2012-2013)","version":1.0,"view":["public","danor"],"shortenedDescription":"These data consist of stream water chemistry for selected Welsh upland rivers. The sampling sites were located in sixty one small and medium catchments. Catchments were chosen from the Welsh Acid Water Surveys (WAWS) program (41 sites) and the Wye catchment (20 sites)...."},{"publicationDate":"2020-06-17T00:00:00.000+00:00","metadataDate":"2026-04-14T10:26:06.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. 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. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\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","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"1be1912a-916e-42c0-98cc-16460fac00e8","incomingCitationCount":5,"givenName":["C.S.","C.G.","R.D.","A.W."],"familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"keyword":["Great Britain","UK-SCAPE","Land cover","land cover","habitat"],"keywordsPlace":["Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover"],"keywordsOther":["land cover","habitat"],"licence":"Non-Open government licence","lineage":"The 25m raster product is the most detailed of the LCM1990 raster products, both thematically and spatially, and it is derived from the LCM1990 vector product. For LCM1990, per-pixel classifications were conducted, using a random forest classification algorithm. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes; Band2 - mean per polygon probability as reported by the Random Forest classifier; Band 3 -percentage of polygon covered by the majority class.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1be1912a-916e-42c0-98cc-16460fac00e8","10.5285/1be1912a-916e-42c0-98cc-16460fac00e8","doi::10.5285/1be1912a-916e-42c0-98cc-16460fac00e8"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 1990 (25m raster, GB) v2","topic":["0/Land cover/"],"version":2.0,"view":["public","clamw"],"shortenedDescription":"This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per..."},{"publicationDate":"2018-03-09T00:00:00.000+00:00","metadataDate":"2026-03-26T13:40:58.000+00:00","authorAffiliation":["University of Oxford"],"authorGivenName":["S."],"authorFamilyName":["Robinson"],"authorFullName":["Robinson, S."],"authorOrcid":["https://orcid.org/0000-0002-7365-8423"],"authorRor":["https://ror.org/052gg0110"],"catalogue":"eidc","description":"This dataset describes environmental conditions at 135 Saiga antelope calving sites  (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated with haemorrhagic septicaemia in the literature, including humidity, temperature and precipitation.  Indicators of vegetation biomass, phenology and length of the winter preceding calving were represented using the Normalised Difference Vegetation Index (NDVI), snow depth and snow presence data. \n\nSaiga antelope are susceptible to mass mortality events (MME), the most severe of which are caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense aggregations. As the bacteria is a commensal organism, which may live harmlessly in the respiratory tract of the saiga, it is believed that an environmental trigger is involved in a shift to virulence in the pathogen or reduction in immune-competence in the host.\n\nThe attached data show environmental conditions at a set of calving sites of the Betpak-dala population of saigas. This population, one of three in Kazakhstan, is located in the central provinces of the country and is the only one in which massive haemorrhagic septicaemia outbreaks have been recorded. At most of the recorded sites, calving progressed normally, whilst at others mass mortality events occurred during calving or just afterwards, namely in 1981, 1988 and 2015. A set of environmental predictor variables was used to model the probability of an MME at calving aggregations. The dataset, modelling process and results are described in Kock et al. (2018): http://advances.sciencemag.org/content/4/1/eaao2314  \n\nA related shapefile of the full set of 214 sites, and metadata concerning site characteristics and the provenance of the location data is available at:\nhttps://catalogue.ceh.ac.uk/id/8ad12782-e939-4834-830a-c89e503a298b\n\nThe attached dataset and site metadata in the above-mentioned Shapefile attribute table can be combined using the variable ID in order to merge the environmental data with information on the calving and MME sites.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Association for the Conservation of Biodiversity of the Republic of Kazakhstan","Flora and Fauna International, Cambridge, UK","People's Trust for Endangered Species","Frankfurt Zoological Society","The Saiga Conservation Alliance, UK"],"grant":["NE/N007646/1"],"identifier":"912ea336-ac90-418f-be6a-7ae226e167e9","incomingCitationCount":0,"givenName":["Sara","S."],"familyName":["Robinson"],"fullName":["Robinson, S."],"keyword":["Kazakhstan","Phenology","Environmental variables","Saiga antelope"],"keywordsPlace":["Kazakhstan"],"keywordsTheme":["Phenology"],"keywordsOther":["Environmental variables","Saiga antelope"],"licence":"Open government licence","lineage":"Given the large geographic scale of the study, range of variables to be covered, long time series coverage and high resolution, the daily ERA-Interim reanalysis dataset, produced at the European Centre for Medium-Range Weather Forecasts (ECMWF), was selected as a source of climate data (Dee et al., 2011). Daily aggregates (means, maxima, minima, or totals) were generated from raw 3 or 6 hourly data for temperature, dew point temperature, soil moisture, snow depth, maximum wind gust and precipitation.  Due to uncertainties in precipitation data from this source, interpolated gauge-based products from the Global Precipitation Climatology Centre (GPCC), which are independent of ERA data, were also used, although these were available only from 1988 onwards (Schamm et al., 2014). \n\nAbsolute NDVI values at calving/MME sites were obtained using a dataset of 7 day filtered and smoothed MODIS NDVI products from the University of Natural Resources and Life Sciences, Vienna (Vuolo et al., 2012). These data are included in the attached dataset but were not used in final models, they cover the period 2001-2016 and cover a subset of 94 sites.\n\nNDVI anomaly data based on SPOT and PROBA-V data were supplied by the Université Catholique de Louvain-LifeWatch Wallonia-Brussels (WB) project (Radoux et al., 2015). Snow anomaly data (unusual values at the date of observation compared to mean probability of snow presence) were used to look for unusual variation in winter (e.g. winter length, severity, sudden cold shocks) and were derived by LifeWatch WB from filtered MODIS data (Rousseau et al., 2015). These datasets cover periods from 1998-2016 and 2000-2016 respectively and thus include only 2015 MME sites and a set of controls - covering a subset of 96 & 95 sites. ","locations":["POLYGON((60.392 45.165, 60.392 51.282, 76.324 51.282, 76.324 45.165, 60.392 45.165))"],"orcid":["https://orcid.org/0000-0002-7365-8423"],"organisation":["University of Oxford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/912ea336-ac90-418f-be6a-7ae226e167e9","10.5285/912ea336-ac90-418f-be6a-7ae226e167e9","doi::10.5285/912ea336-ac90-418f-be6a-7ae226e167e9"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Kock, R. A., Orynbayev, M., Robinson, S., Zuther, S., Singh, N. J., Beauvais, W., ... Milner-Gulland, E. J. (2018). Saigas on the brink: Multidisciplinary analysis of the factors influencing mass mortality events. Science Advances, 4(1), eaao2314. "],"title":"Environmental conditions at saiga calving and die-off sites in Kazakhstan, 1979 to 2016","topic":["0/Phenology/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset describes environmental conditions at 135 Saiga antelope calving sites  (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated..."},{"metadataDate":"2026-03-02T09:40:49.000+00:00","altTitle":["LTS-ODA"],"catalogue":"eidc","description":"SUNRISE: Sustainable Use of Natural Resources to Improve Human Health and Support Economic Development\n\nSUNRISE supports the realisation of the United Nations Sustainable Development Goals (SDGs) by improving livelihoods and wellbeing through research to reduce environmental risk, improve environmental quality and improve reliability of the supply of food, water and other natural resources. UK CEH will apply its expertise to investigate and provide advice on flood and drought modelling and water management, improving air quality, reduced livestock disease, enhancing soil quality and the sustainability and resilience of smallhold farming systems.\n\nThe project comprises three work packages:\n1. Developing hydro-climate services for water management aims to address the challenge of understanding and predicting water dynamics in areas of incomplete and spatially sparse data, and so improve decision making in India, China and Sub-Saharan Africa. (Lead scientist: Harry Dixon)\n\n2. Restoration and remediation of degraded resources will fill a knowledge gap by attributing the main causes of degradation of air quality (India and China), water (China, India and Sub-Saharan Africa) and soils systems (Malaysia and Indonesia) and by determining the key factors that affect both rate and stability of recovery. (Lead scientist: Niall McNamara)\n\n3. Managing land to ensure environmental sustainability will investigate the factors limiting productivity and/or compromising the resilience of smallholder farming systems in India, Indonesia and Sub-Saharan Africa, and investigate novel interventions to enable the local development of systems that are resilient to environmental change. (Lead scientist: Stephen Cavers)\n","documentType":"GEMINI_DOCUMENT","identifier":"1fe2954c-55c9-45e7-8140-e7e4ee645a6c","incomingCitationCount":0,"licence":"Non-Open government licence","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1fe2954c-55c9-45e7-8140-e7e4ee645a6c"],"availability":"Unknown","resourceType":"Aggregation","state":"published","supplementalName":["SUNRISE website"],"title":"NERC National Capability SUNRISE Project datasets","version":1.0,"view":["public","danor"],"shortenedDescription":"SUNRISE: Sustainable Use of Natural Resources to Improve Human Health and Support Economic Development\n\nSUNRISE supports the realisation of the United Nations Sustainable Development Goals (SDGs) by improving livelihoods and wellbeing through research to reduce environmental..."},{"metadataDate":"2026-03-26T13:33:41.000+00:00","catalogue":"eidc","description":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all scheme data up to the year of publication.\n\nDatasets currently available for download include: annual site level indices of abundance, UK and country-level collated indices of abundance, UK trends in abundance and phenology data for all commonly occurring UK butterfly species on monitored sites across the UK since 1976, as well as annually updated site location data for all UKBMS sites. Access to other data should be requested directly via the UKBMS website - https://www.ukbms.org\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation, the UK Centre for Ecology & Hydrology, British Trust for Ornithology, and the Joint Nature Conservation Committee. The UKBMS is indebted to all volunteers who contribute data to the scheme.","documentType":"GEMINI_DOCUMENT","identifier":"4ad76f51-9f13-41b3-a225-b50fef2e1fab","incomingCitationCount":0,"givenName":["Marc"],"familyName":["Botham"],"fullName":["Botham, M."],"keyword":["Biodiversity","butterfly","Lepidoptera"],"keywordsTheme":["Biodiversity"],"keywordsOther":["butterfly","Lepidoptera"],"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))"],"organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4ad76f51-9f13-41b3-a225-b50fef2e1fab"],"availability":"Unknown","resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"state":"published","title":"United Kingdom Butterfly Monitoring Scheme (UKBMS) 1976-2022 data","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all..."},{"publicationDate":"2018-04-26T00:00:00.000+00:00","metadataDate":"2026-04-14T07:49:03.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Reading"],"authorGivenName":["J.W.","C.F.","H.J.","R.","T.H.","M.J.O.","S.L.","A.J.","B.A.","R.F."],"authorFamilyName":["Redhead","Coombes","Dean","Dyer","Oliver","Pocock","Rorke","Vanbergen","Woodcock","Pywell"],"authorFullName":["Redhead, J.W.","Coombes, C.F.","Dean, H.J.","Dyer, R.","Oliver, T.H.","Pocock, M.J.O.","Rorke, S.L.","Vanbergen, A.J.","Woodcock, B.A.","Pywell, R.F."],"authorOrcid":["https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0002-9602-7202","https://orcid.org/0000-0003-4375-0445","https://orcid.org/0000-0001-8320-5535","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"catalogue":"eidc","description":"Plant-pollinator interactions database derived from biological recording data, unpublished experimental data and published interactions in books and papers.  The database covers all recorded interactions for bees, hoverflies and butterflies in mainland GB.  Interactions were inferred from biological recording metadata by algorithmically screening for text matching a valid scientific or vernacular plant name (or a widely used synonym or abbreviation of either), followed by manual data cleaning.  These data were compiled for the construction of multiple potential plant-pollinator networks in combination with plant and pollinator occurrence data.","documentType":"GEMINI_DOCUMENT","identifier":"6d8d5cb5-bd54-4da7-903a-15bd4bbd531b","incomingCitationCount":5,"givenName":["John","J.W.","C.F.","H.J.","R.","T.H.","M.J.O.","S.L.","A.J.","B.A.","R.F."],"familyName":["Redhead","Coombes","Dean","Dyer","Oliver","Pocock","Rorke","Vanbergen","Woodcock","Pywell"],"fullName":["Redhead, J.","Redhead, J.W.","Coombes, C.F.","Dean, H.J.","Dyer, R.","Oliver, T.H.","Pocock, M.J.O.","Rorke, S.L.","Vanbergen, A.J.","Woodcock, B.A.","Pywell, R.F."],"keyword":["Pollinators","Syrphidae","lepidopteran","hymenopteran"],"keywordsTheme":["Pollinators"],"keywordsOther":["Syrphidae","lepidopteran","hymenopteran"],"licence":"Open government licence","lineage":"Biological recording data were obtained from the Bees, Wasps and Ants Recording Society (BWARS), Butterflies for the New Millennium (BNM, Asher 1997) and Hoverfly Recording Scheme (HRS), with interactions recorded as incidental metadata submitted alongside occurrence records. Pollinator biological records with associated metadata were algorithmically screened for text matching a valid scientific or vernacular plant name (or a widely used synonym or abbreviation of either).  In most cases, such matches record the visitation of a flower by a pollinating insect.  However, there are other reasons for a valid match in the comments field, including descriptions of local habitat (e.g. 'English oak woodland'), pollinator behaviour (e.g. 'flying near blackthorn hedge') or sampling methods (e.g. 'swept from Arrhenathrum eliatus sward').  In order to exclude these, all plant species producing a match were screened according whether they produce flowers which are known to be visited by insects and whether such visits are likely to result in beneficial pollen transfer (i.e. the plant is primarily entomophilic).  These criteria excluded the majority of trees and grasses, which are likely to derive from habitat descriptions or interactions other than flower visits (e.g. honeydew feeding).  Even though some primarily wind-pollinated grass flowers are known to be visited by certain pollinators, their impact on pollen transfer is likely to be very slight in temperate climates (Clifford 1964; Adams et al. 1981).  The data contains only plant species not defined as 'casuals' in PLANTATT ('casual is a plant that is present only as populations which fail to persist in the wild for periods of more than approximately five years' Hill et al. 2004). \n\nFor a full description of methods, please download the supporting documentation (plant_pollinator_interactions_supporting_documentation.rtf)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0002-9602-7202","https://orcid.org/0000-0003-4375-0445","https://orcid.org/0000-0001-8320-5535","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Reading","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b","10.5285/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b","doi::10.5285/6d8d5cb5-bd54-4da7-903a-15bd4bbd531b"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"state":"published","title":"Plant-pollinator interactions database for construction of potential networks","topic":["0/Pollinators/"],"version":1.0,"view":["public","phtr","jgar"],"shortenedDescription":"Plant-pollinator interactions database derived from biological recording data, unpublished experimental data and published interactions in books and papers.  The database covers all recorded interactions for bees, hoverflies and butterflies in mainland GB.  Interactions..."},{"publicationDate":"2025-10-22T00:00:00.000+00:00","metadataDate":"2026-03-09T17:38:48.000+00:00","authorAffiliation":["Newcastle University","Manchester University","UK Centre for Ecology & Hydrology","University of Bristol","Environment Agency","Scottish Environment Protection Agency","Northumbria University"],"authorGivenName":["Felipe","Hayley J","Elizabeth","Matt","Hollie","Oliver","Gemma","Fiona","Emma","Longzhi","David"],"authorFamilyName":["Fileni","Fowler","Lewis","Fry","Cooper","Swain","Coxon","McLay","Bruce","Yang","Archer"],"authorFullName":["Fileni, F.","Fowler, H.J.","Lewis, E.","Fry, M.","Cooper, H.","Swain, O.","Coxon, G.","McLay, F.","Bruce, E.","Yang, L.","Archer, D."],"authorOrcid":["https://orcid.org/0000-0001-7260-1946","https://orcid.org/0000-0001-8848-3606","https://orcid.org/0000-0002-7471-9988","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0003-2115-4909","https://orcid.org/0000-0002-0007-6334"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/02aswte26","https://ror.org/00pggkr55","https://ror.org/0524sp257","https://ror.org/01zewfb16","https://ror.org/01kxjy285","https://ror.org/049e6bc10"],"catalogue":"eidc","description":"This dataset provides a coherent, quality-controlled collection of 15-minute river flow observations from across the United Kingdom. It brings together more than 1,300 gauging stations and over 50,000 station-years of data collected by the main UK measuring authorities - the Environment Agency (England), Scottish Environment Protection Agency, Natural Resources Wales, the Department for Infrastructure (Northern Ireland), and the UK Centre for Ecology & Hydrology. The records span from 1948 to the present day and represent the first national-scale compilation of sub-daily flow data in a consistent format.\n\nThe dataset was created by assembling raw hydrometric records from open APIs and data requests to measuring authorities, then standardising them to a uniform 15-minute time step. A structured quality control framework was applied to identify and flag potential issues such as missing or duplicated values, irregular time steps, and implausible flow events. Each record includes a detailed quality code indicating the outcome of these checks, and a suite of accompanying metadata files provides full traceability of data provenance, quality control results, and any adjustments made during processing.\n\nThe resource is designed to support large-sample and national-scale hydrological research, particularly for applications requiring high-resolution data such as flood analysis, catchment response studies, and model calibration.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Environment Agency","UKRI Future Leaders Fellowships","UK Centre for Ecology & Hydrology"],"grant":["NE/S007512/1","NE/Y006496/1","NE/S017380/1","MR/V022857/1","NE/X019063/1"],"identifier":"211710ac-f01b-4b52-807f-373babb1c368","incomingCitationCount":0,"givenName":["Felipe","Hayley J","Elizabeth","Matt","Hollie","Oliver","Gemma","Fiona","Emma","Longzhi","David"],"familyName":["Fileni","Fowler","Lewis","Fry","Cooper","Swain","Coxon","McLay","Bruce","Yang","Archer"],"fullName":["Felipe Fileni","Fileni, F.","Fowler, H.J.","Lewis, E.","Fry, M.","Cooper, H.","Swain, O.","Coxon, G.","McLay, F.","Bruce, E.","Yang, L.","Archer, D."],"keyword":["Hydrology","Climate and climate change","hydrology","flow","river","river water","watercourse"],"keywordsTheme":["Hydrology","Climate and climate change"],"keywordsOther":["hydrology","flow","river","river water","watercourse"],"licence":"Open government licence","lineage":"The dataset compiles 15-minute river flow observations from over 1,300 UK gauging stations managed by the Environment Agency, SEPA, NRW, DfI Northern Ireland, and UKCEH. Original field measurements of river stage were made using weirs, flumes, velocity-area methods, and ultrasonic sensors, then converted to discharge (m³ s⁻¹) using rating curves maintained by each authority. Data were accessed via APIs and formal requests, retaining only stations with official NRFA identifiers.\n\nAll time series were standardised to a uniform 15-minute interval, and duplicate or irregular records were corrected. A structured quality control framework was applied, including consistency checks against NRFA daily and peak-flow datasets, automated anomaly detection, and plausibility tests for high-flow events. Each observation carries a QC code, and metadata files record all processing and assessment steps. Users should consult these metadata to evaluate data suitability for specific analyses.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0001-7260-1946","https://orcid.org/0000-0001-8848-3606","https://orcid.org/0000-0002-7471-9988","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0003-2115-4909","https://orcid.org/0000-0002-0007-6334"],"organisation":["Newcastle University","Manchester University","UK Centre for Ecology & Hydrology","University of Bristol","Environment Agency","Scottish Environment Protection Agency","Northumbria University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/211710ac-f01b-4b52-807f-373babb1c368","10.5285/211710ac-f01b-4b52-807f-373babb1c368","doi::10.5285/211710ac-f01b-4b52-807f-373babb1c368"],"availability":"Available","resourceType":"Dataset","rightsHolder":["Newcastle University","UK Centre for Ecology & Hydrology","Environment Agency","Scottish Environment Protection Agency"],"ror":["https://ror.org/01kj2bm70","https://ror.org/02aswte26","https://ror.org/00pggkr55","https://ror.org/0524sp257","https://ror.org/01zewfb16","https://ror.org/01kxjy285","https://ror.org/049e6bc10","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Hydro-JULES","OnePlanet"],"title":"Sub-hourly river flow data observations from 1369 river gauges in the UK, 1948-2023 (UK-Flow15)","topic":["0/Hydrology/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset provides a coherent, quality-controlled collection of 15-minute river flow observations from across the United Kingdom. It brings together more than 1,300 gauging stations and over 50,000 station-years of data collected by the main UK measuring authorities..."},{"publicationDate":"2024-05-20T00:00:00.000+00:00","metadataDate":"2026-04-14T10:29:18.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover. A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"c2d1e87f-1fa8-4421-82a7-df960b4b5821","incomingCitationCount":0,"givenName":["C.G.","R.D.","A.W.","C.S."],"familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Northern Ireland","Land cover","Habitat","Map","Biodiversity Action Plan"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"keywordsOther":["Habitat","Map","Biodiversity Action Plan"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. 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 LCM2022 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 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))"],"orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2d1e87f-1fa8-4421-82a7-df960b4b5821","10.5285/c2d1e87f-1fa8-4421-82a7-df960b4b5821","doi::10.5285/c2d1e87f-1fa8-4421-82a7-df960b4b5821"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2022 (10m classified pixels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover..."},{"publicationDate":"2023-09-11T00:00:00.000+00:00","metadataDate":"2026-03-26T13:39:32.000+00:00","authorAffiliation":["Universidad Nacional Abierta y a Distancia","University of Exeter","James Cook University","Instituto Nacional de Pesquisas da Amazônia "],"authorGivenName":["C.","Ted R.","T.","M."],"authorFamilyName":["Montes-Pulido","Feldpausch","Pennington","Bird","Quesada"],"authorFullName":["Montes-Pulido, C.","Feldpausch, T.R.","Pennington, T.","Bird, M.","Quesada, C."],"authorOrcid":["https://orcid.org/0000-0003-1560-3464","https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-8196-288X","https://orcid.org/0000-0003-1801-8703","https://orcid.org/0000-0001-7178-9713"],"authorRor":["https://ror.org/047179s14","https://ror.org/03yghzc09","https://ror.org/04gsp2c11"],"catalogue":"eidc","description":"The dataset contains information on soil nutrients including pH, available phosphorus, total phosphorus, texture analysis in sand, clay and silt, and exchangeable Ca, Mg, K, Na. Soil pyrogenic carbon, including Total Organic Carbon (TOC) (%C_(Bulk)), pyrogenic carbon D13C (lower, median, and upper), pyrogenic carbon (Cpyc), Cpyc%/CBulk, organic carbon and soil bulk density and dry weight of roots. The datasets include information about the plot location and parameters of the locality. The data were collected between 2019 and 2022 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The objective of this data collection was to determine the change in soil characteristics between the disturbance gradients. This information is important for understanding the drivers of variation in forest resilience and the impacts of disturbance on ecosystem functioning.\n\nThis data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the Resilience of forest ecosystems after the post-conflict period in Colombia. This research was supported by the UK Natural Environment Research Council Fund (NE/R017980/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R017980/1"],"identifier":"fbcfc877-a38e-4c26-8d8b-7226392493db","incomingCitationCount":0,"givenName":["C.","Ted R.","T.","M.","Carmen"],"familyName":["Montes-Pulido","Feldpausch","Pennington","Bird","Quesada"],"fullName":["Montes-Pulido, C.","Feldpausch, T.R.","Pennington, T.","Bird, M.","Quesada, C."],"keyword":["Colombian Andean","Human modified tropical forests","Altitudinal gradient","Human perturbation gradient","Soil nutrients","Bulk density","Pyrogenic carbon","Dry weight roots","carbon","forest ecology","soil","altitudinal gradient"],"keywordsPlace":["Colombian Andean"],"keywordsProject":["Human modified tropical forests"],"keywordsOther":["Altitudinal gradient","Human perturbation gradient","Soil nutrients","Bulk density","Pyrogenic carbon","Dry weight roots","carbon","forest ecology","soil","altitudinal gradient"],"licence":"Open government licence","lineage":"Samples were analyzed in the laboratory of the National Open and Distance University (UNAD), Instituto Nacional de Pesquisas da Amazônia, and James Cook University. \n\nTotal Organic Carbon (TOC) was calculated by elemental analysis using a Costech ECS-4010 with a zero blank autosampler. Pyrogenic carbon (Cpyc) was analyzed via hydrogen pyrolysis (HyPy). The ratio of pyrogenic carbon to total organic carbon (Cpyc%/CBulk) was determined by elemental analysis following HyPy, which quantifies the Stable Polycyclic Aromatic Carbon component of total PyC in a sample. Soil pH was determined by 10 grams of fine earth shaken with 25 ml of water for 1 hour on a circular shaker, followed by a 1-hour rest period. The pH of the supernatant was then measured using an automatic probe. Available phosphorus (p_available) were analyzed for a sequential extraction with reagents of increasing strength. The first step being resin extractable P, followed by 0.5 M NaHCO3,0.1MNaOH and 1M HCl. Total phosphorus (tot_p) was calculated by acid digestion using concentrate sulfuric acid followed by H2O2. Particle size analysis was undertaken using the Boyoucos method. 50 g of fine earth was first treated with physical and chemical dispersants and then separated into sand (particle sizes between 0.05 and 2 mm),silt (particle sizes between 0.002 mm and 0.05mm) and clay contents (particle sizes<0.002 mm) by the means of a series of hygrometer readings in a settling soil solution. Exchangeable Ca, Mg, K and Na were determined by the silver thiourea method (Ag-TU). This method allows an appropriate one-step centrifuge extraction using 0.01 M Ag-TU solution, which achieves complete cation exchange.\n\nSamples for bulk density determinations were oven dried until constant weight, cooled to room temperature in a sealed desiccant before final weight determinations were made.","locations":["POLYGON((-76.19 4.409, -76.19 6.61, -74.103 6.61, -74.103 4.409, -76.19 4.409))"],"orcid":["https://orcid.org/0000-0003-1560-3464","https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-8196-288X","https://orcid.org/0000-0003-1801-8703","https://orcid.org/0000-0001-7178-9713"],"organisation":["Universidad Nacional Abierta y a Distancia","University of Exeter","James Cook University","Instituto Nacional de Pesquisas da Amazônia ","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fbcfc877-a38e-4c26-8d8b-7226392493db","10.5285/fbcfc877-a38e-4c26-8d8b-7226392493db","doi::10.5285/fbcfc877-a38e-4c26-8d8b-7226392493db"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/047179s14","https://ror.org/03yghzc09","https://ror.org/04gsp2c11","https://ror.org/04xw4m193"],"state":"published","title":"Soil nutrients, bulk density and pyrogenic carbon in permanent monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022","version":1.0,"view":["public","clwe"],"shortenedDescription":"The dataset contains information on soil nutrients including pH, available phosphorus, total phosphorus, texture analysis in sand, clay and silt, and exchangeable Ca, Mg, K, Na. Soil pyrogenic carbon, including Total Organic Carbon (TOC) (%C_(Bulk)), pyrogenic carbon..."},{"publicationDate":"2019-05-24T00:00:00.000+00:00","metadataDate":"2026-04-14T10:26:25.000+00:00","authorAffiliation":["University of Oxford","Centre for Ecology & Hydrology","Forest Research"],"authorGivenName":["E.","K.","N","A","M."],"authorFamilyName":["Field","Schönrogge","Barsoum","Hector","Gibbs"],"authorFullName":["Field, E.","Schönrogge, K.","Barsoum, N.","Hector, A.","Gibbs, M."],"authorOrcid":["https://orcid.org/0000-0002-5669-5046","https://orcid.org/0000-0003-0122-6493","https://orcid.org/0000-0002-1309-7716","https://orcid.org/0000-0002-4091-9789"],"authorRor":["https://ror.org/052gg0110","https://ror.org/00pggkr55","https://ror.org/03wcc3744"],"catalogue":"eidc","description":"This data set comprises two years of data (2016 and 2017) from one trial (Hucking, Kent, UK) and one year (2017) from a second trial (Hartshorne, Derbyshire, UK). Data was collected on tree traits (tree height, shoot length, tree provenance), abundance of foliar insect herbivores (gallers, leaf manipulators and leaf miners) and leaf damage by oak powdery mildew, a foliar fungal pathogen. Data was collected from plots differing in tree diversity (provenance and species diversity).","documentType":"GEMINI_DOCUMENT","funder":["Tree Health and Plant Biosecurity Initiative"],"grant":["BB/N022645/1"],"identifier":"cbccb101-c877-4e43-ac70-e8a852b51f07","incomingCitationCount":1,"givenName":["Elsa","E.","K.","N","A","M."],"familyName":["Field","Schönrogge","Barsoum","Hector","Gibbs"],"fullName":["Field, E.","Schönrogge, K.","Barsoum, N.","Hector, A.","Gibbs, M."],"keyword":["Environmental survey","tree","insect"],"keywordsTheme":["Environmental survey"],"keywordsOther":["tree","insect"],"licence":"Open government licence","lineage":"The study took place at the Climate Match tree diversity experiment planted in 2011 at two sites in the UK. One site was established in South East England at Hucking, Kent (51°17'47.5\"N 0°37'58.2\"E), the other in the East Midlands at Hartshorne, Derbyshire (52°47'41.1\"N, 1°30'58.8\"W). On focal Quercus robur trees, we recorded abundance of three insect guilds: gallers, leaf miners and leaf manipulators, as well as infection by oak powdery mildew. We also recorded information on tree traits (tree height, shoot length). For further information on the design of the trials and the sampling protocol, see the supporting metadata for the dataset. ","locations":["POLYGON((-1.554 51.268, -1.554 52.822, 0.674 52.822, 0.674 51.268, -1.554 51.268))"],"orcid":["https://orcid.org/0000-0002-5669-5046","https://orcid.org/0000-0003-0122-6493","https://orcid.org/0000-0002-1309-7716","https://orcid.org/0000-0002-4091-9789"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","Forest Research"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cbccb101-c877-4e43-ac70-e8a852b51f07","10.5285/cbccb101-c877-4e43-ac70-e8a852b51f07","doi::10.5285/cbccb101-c877-4e43-ac70-e8a852b51f07"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193","https://ror.org/00pggkr55","https://ror.org/03wcc3744"],"state":"published","title":"Tree trait, insect herbivore abundance and powdery mildew infection data (2016-17) from Forest Research Climate Matching Trials, UK","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This data set comprises two years of data (2016 and 2017) from one trial (Hucking, Kent, UK) and one year (2017) from a second trial (Hartshorne, Derbyshire, UK). Data was collected on tree traits (tree height, shoot length, tree provenance), abundance of foliar insect..."},{"publicationDate":"2024-01-30T00:00:00.000+00:00","metadataDate":"2026-03-09T17:33:18.000+00:00","authorAffiliation":["University of Exeter","University of Kent","Universitas Gadjah Mada","University of Palangka Raya","Yayasan Borneo Nature Indonesia","University of Oxford","University of Wales Aberystwyth","Oxford Brookes University","Centre College","Borneo Nature Foundation International","Universitas Nasional","Universitas Indonesia","University of Leicester"],"authorGivenName":["M.E.","N.J.","M.A.","D.","H.A.","J.","N.C.","S.M.","W.","B.","K.A.","I.P.","K.","H.C.","A.","S.A.","M.J."],"authorFamilyName":["Harrison","Deere","Imron","Nasir","Asti","Aragay Soler","Boyd","Cheyne","Healy","Holly","Jeffers","Kulu","Kusin","Marchant","Morrogh-Bernard","Purwanto","Ripoll Capilla","Sugardjito","Supriatna","Thornton","Struebig"],"authorFullName":["Harrison, M.E.","Deere, N.J.","Imron, M.A.","Nasir, D.","Adul","Asti, H.A.","Aragay Soler, J.","Boyd, N.C.","Cheyne, S.M.","Healy, W.","Hendri","Holly, B.","Iwan","Jeffers, K.A.","Kulu, I.P.","Kusin, K.","Marchant, N.C.","Morrogh-Bernard, H.C.","Purwanto, A.","Ripoll Capilla, B.","Santiano","Sugardjito, J.","Supriatna, J.","Thornton, S.A.","Yulintine","Struebig, M.J."],"authorOrcid":["https://orcid.org/0000-0002-0729-8407","https://orcid.org/0000-0003-1299-2126","https://orcid.org/0000-0003-2371-7795","https://orcid.org/0009-0001-0626-1127","https://orcid.org/0000-0002-9180-3356","https://orcid.org/0000-0002-4549-816X","https://orcid.org/0000-0001-6019-0828","https://orcid.org/0000-0002-2913-9204","https://orcid.org/0000-0001-9850-8395","https://orcid.org/0000-0003-4497-7625","https://orcid.org/0000-0001-6294-0952","https://orcid.org/0000-0003-2058-8502"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00xkeyj56","https://ror.org/03ke6d638","https://ror.org/045n0ms44","https://ror.org/052gg0110","https://ror.org/015m2p889","https://ror.org/04v2twj65","https://ror.org/00fn3pa80","https://ror.org/0116zj450","https://ror.org/04h699437"],"catalogue":"eidc","description":"Datasets consist of monitoring data on ecosystem properties (17 variables) and biodiversity (21 variables), collected between 2003 and 2019 from the tropical peatland of the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central Kalimantan, Indonesia. The dataset includes 23 data files. These data files represent results from comparisons of ecosystem property and biodiversity variables over space between new burn, old burn and unburned forest conditions, including: \n  (a) effect sizes resulting from a hierarchical mixed effects meta-analysis; and\n  (b) proportional changes resulting from a generalized linear mixed-effects model. \n\nThey also include datasets relating to variability ecosystem property and biodiversity variables over time in relation to fire incidence within the wider landscape, including\n  (c) time-series data for ecosystem properties aggregated by site and season, and occupancy detection matrices biodiversity for biodiversity variables; and\n  (d) species richness and abundance estimates aggregated at the site level.","documentType":"GEMINI_DOCUMENT","funder":["The Orangutan Project","Arcus Foundation","Darwin Initiative","Save the Orangutan","Orangutan Land Trust","US Fish and Wildlife Service Great Apes Conservation Fund","Ocean Parks Foundation Hong Kong","Panthera","The Clouded Leopard Project/Point Defiance Zoo and Aquarium","Orangutan Outreach","Orangutan Appeal UK","Natural Environment Research Council","Leverhulme Research Leadership Award","Universitas Gadjah Mada "],"grant":["NE/T010401/1","RL-2019-054","1525/UN1/DITLIT/Dit-Lit/PT.01.05/2022"],"identifier":"24e8e9c6-f9fa-4758-951f-9160bb0dde6e","incomingCitationCount":0,"givenName":["M.E.","N.J.","M.A.","D.","H.A.","J.","N.C.","S.M.","W.","B.","K.A.","I.P.","K.","H.C.","A.","S.A.","M.J."],"familyName":["Harrison","Deere","Imron","Nasir","Asti","Aragay Soler","Boyd","Cheyne","Healy","Holly","Jeffers","Kulu","Kusin","Marchant","Morrogh-Bernard","Purwanto","Ripoll Capilla","Sugardjito","Supriatna","Thornton","Struebig"],"fullName":["Harrison, M.E.","Deere, N.J.","Imron, M.A.","Nasir, D.","Adul","Asti, H.A.","Aragay Soler, J.","Boyd, N.C.","Cheyne, S.M.","Healy, W.","Hendri","Holly, B.","Iwan","Jeffers, K.A.","Kulu, I.P.","Kusin, K.","Marchant, N.C.","Morrogh-Bernard, H.C.","Purwanto, A.","Ripoll Capilla, B.","Santiano","Sugardjito, J.","Supriatna, J.","Thornton, S.A.","Yulintine","Struebig, M.J."],"keyword":["Central Kalimantan"," Indonesia","Borneo","Sebangau National Park","Biodiversity","biodiversity","occupancy","time series","ecosystem dynamics","restoration","tropical peat-swamp forest","wildfire","fire"],"keywordsPlace":["Central Kalimantan"," Indonesia","Borneo","Sebangau National Park"],"keywordsTheme":["Biodiversity"],"keywordsOther":["biodiversity","occupancy","time series","ecosystem dynamics","restoration","tropical peat-swamp forest","wildfire","fire"],"licence":"Open government licence","lineage":"Data were collected from the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central Kalimantan, Indonesia. A long history of research here has enabled compilation of 16 years of data on ecosystem properties (17 variables) and biodiversity (21 variables). The site is an ombrogenous, non-masting peat-swamp forest, which experienced selective logging over a ~40 year period by timber concessions until 1997 and illegal hand-loggers until 2004. This past illegal logging was associated with creation of numerous small canals, causing peat drainage and making the peatland vulnerable to fire during the dry season. Parts of the forest have therefore burned intermittently, creating a mosaic of predominantly unburned forest interspersed with areas burned at different times. The forest is also subject to indirect impacts of fire within the wider landscape, in particular through haze exposure. This context has thus enabled assessment of direct impacts through spatial comparison of ecosystem properties and biodiversity in areas with different fire history (new burn, old burn and unburned forest), plus temporal assessments of the indirect impacts of fire incidence within the wider landscape on ecosystem properties and biodiversity in unburned forest areas. \n\nRegarding the spatial comparison, data were collected for 27 ecological components across 181 sampling locations between April 2017 and September 2021. These locations represent areas affected by a recent major burn event in 2015 (“new burn”; N=72), those recovering from fires up to and including 2006 (“old burn”; N=27), and from forest areas with no history of fire (“unburned”; N=82). Data on the following variables were collected from each of the three (or in some cases two) different fire treatments: ecosystem properties, including microclimate (temperature), vegetation (canopy/fern/grass cover, density of pitcher plants/large Pandanaceae plants/lianas/seedlings/saplings/trees) and forest structure (tree height, aboveground live biomass); and biodiversity, including species richness and abundance for trees, Odonata (split into Anisoptera and Zygoptera), fruit-feeding butterflies (Lepidoptera: Papilionoidea), amphibians, reptiles and avian-focused soundscape indices (Bioacoustic Index, Acoustic Complexity Index, Acoustic Diversity Index and Normalised Difference Soundscape Index). These spatial datasets comparing new burn, old burn and unburned forest treatments are represented as both effect sizes resulting from a hierarchical mixed effects meta-analysis and proportional changes resulting from a generalized linear mixed-effects model.\n\nRegarding the temporal assessments, ecological time-series datasets were collected over 16-year period data (September 2003-December 2019), thus capturing variations in annual fire regimes typical of the region. All temporal data collection periods included at least two megafire events. The datasets encompassed 578 temporally-replicated surveys across 236 sampling locations for nine ecological components (range: 15-173 survey months per sample location). Time-series data were collected on the following variables: ecosystem properties, including river pH, forest productivity (leaf-fall), tree leaf flush and reproductive phenology, fruit-feeding butterflies (Lepidoptera: Papilionoidea), river fish, ground-dwelling birds and medium-large mammals. For ecosystem properties, these temporal datasets are represented as time-series data aggregated by site and season, and for biodiversity as occupancy detection matrices.\n\nThe accuracy of data collection was ensured through comprehensive observer training, including regular refresher training, plus maintaining consistency of data collection personnel throughout data collection periods. All data files were screened for potential outliers, typographical errors and missing data, which were resolved with the help of relevant field team members. Sound file spectrograms were scanned visually to identify potential disruptions that dominated the sound profile and may skew the acoustic indices (e.g., heavy rain), with disrupted files subsequently excluded from the analyses. Species identification protocols for biodiversity data from different taxonomic groups follow those used previously at the site, supported by use of locally-relevant identification guides and consultation with external experts. All analyses conducted were specified within a Bayesian framework, implemented in rstan (hierarchical mixed-effects meta-analysis) and JAGS (all GLMMs and occupancy models) called through R version 4.0.2. ","locations":["POLYGON((113.811 -2.434, 113.811 -2.29, 114.003 -2.29, 114.003 -2.434, 113.811 -2.434))"],"orcid":["https://orcid.org/0000-0002-0729-8407","https://orcid.org/0000-0003-1299-2126","https://orcid.org/0000-0003-2371-7795","https://orcid.org/0009-0001-0626-1127","https://orcid.org/0000-0002-9180-3356","https://orcid.org/0000-0002-4549-816X","https://orcid.org/0000-0001-6019-0828","https://orcid.org/0000-0002-2913-9204","https://orcid.org/0000-0001-9850-8395","https://orcid.org/0000-0003-4497-7625","https://orcid.org/0000-0001-6294-0952","https://orcid.org/0000-0003-2058-8502"],"organisation":["University of Exeter","University of Kent","Universitas Gadjah Mada","University of Palangka Raya","Yayasan Borneo Nature Indonesia","University of Oxford","University of Wales Aberystwyth","Oxford Brookes University","Centre College","Borneo Nature Foundation International","Universitas Nasional","Universitas Indonesia","University of Leicester","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/24e8e9c6-f9fa-4758-951f-9160bb0dde6e","10.5285/24e8e9c6-f9fa-4758-951f-9160bb0dde6e","doi::10.5285/24e8e9c6-f9fa-4758-951f-9160bb0dde6e"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter","Yayasan Borneo Nature Indonesia","University of Palangka Raya","Universitas Gadjah Mada","Oxford Brookes University","Universitas Nasional","Universitas Indonesia","University of Leicester","University of Kent"],"ror":["https://ror.org/03yghzc09","https://ror.org/00xkeyj56","https://ror.org/03ke6d638","https://ror.org/045n0ms44","https://ror.org/052gg0110","https://ror.org/015m2p889","https://ror.org/04v2twj65","https://ror.org/00fn3pa80","https://ror.org/0116zj450","https://ror.org/04h699437","https://ror.org/04xw4m193"],"state":"published","title":"Spatio-temporal variability in ecosystem properties and biodiversity in relation to fire in Sebangau National Park, Central Kalimantan, Indonesia, 2003-2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","elsdhi"],"shortenedDescription":"Datasets consist of monitoring data on ecosystem properties (17 variables) and biodiversity (21 variables), collected between 2003 and 2019 from the tropical peatland of the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central..."},{"publicationDate":"2024-12-16T00:00:00.000+00:00","metadataDate":"2026-03-09T17:28:32.000+00:00","authorAffiliation":["The James Hutton Institute","RSPB Centre for Conservation Science","Royal Botanic Garden Edinburgh","Bryophyte Consultant"],"authorGivenName":["R.J.","S.D.","P.E.","C.J.","N.G.","C.","J.A.","A.F.S."],"authorFamilyName":["Mitchell","Albon","Bellamy","Ellis","Hodgetts","Johnstone","Stockan","Taylor"],"authorFullName":["Mitchell, R.J.","Albon, S.D.","Bellamy, P.E.","Ellis, C.J.","Hodgetts, N.G.","Johnstone, C.","Stockan, J.A.","Taylor, A.F.S."],"authorOrcid":["https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0002-0811-1333","https://orcid.org/0000-0003-2234-2119","https://orcid.org/0000-0003-1916-8746","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-0727-8171"],"authorRor":["https://ror.org/03rzp5127","https://ror.org/0138va192","https://ror.org/0349vqz63"],"catalogue":"eidc","description":"Here we collate a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Sitka spruce (Picea sitchensis) in the UK. Sitka spruce is the most commonly planted commercial tree species in the UK. In total 564 species are listed in the database. For each species we provide a level of association with Sitka spruce, ranging from obligate (only found on Sitka spruce) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each Sitka spruce associated species were collated: part of tree used, and use made of tree (feeding, roosting, breeding). Data on use or otherwise of 34 other tree species were also collated for each of the 564 species. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","UK Research and Innovation"],"grant":["NE/X004449/1"],"identifier":"1ce52c10-e3ab-4996-b9b7-052c70b3c1ba","incomingCitationCount":0,"givenName":["R.J.","S.D.","P.E.","C.J.","N.G.","C.","J.A.","A.F.S."],"familyName":["Mitchell","Albon","Bellamy","Ellis","Hodgetts","Johnstone","Stockan","Taylor"],"fullName":["Mitchell, R.J.","Albon, S.D.","Bellamy, P.E.","Ellis, C.J.","Hodgetts, N.G.","Johnstone, C.","Stockan, J.A.","Taylor, A.F.S."],"keyword":["biodiversity","commercial forest","Picea sitchensis","forest plantation","Sitka spruce","species","forestry"],"keywordsOther":["biodiversity","commercial forest","Picea sitchensis","forest plantation","Sitka spruce","species","forestry"],"licence":"Open government licence","lineage":"Existing data sources were collated during 2023/24, in order to identify as comprehensively as possible those species that use Sitka spruce, Picea sitchensis (Sitka spruce-associated species) and the nature of this association in the UK. The data sources included quality controlled databases of records of species, peer reviewed literature, published books and grey literature. A complete list of data sources used is provided together with an assessment of the quality of that data: peer reviewed or quality controlled dataset versus grey literature and whether the data are from the UK or not. Information on the species ecology and their use of 34 other tree species was also collated. The data were collated in a pre-defined standard format to enable consistency across taxa.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0002-0811-1333","https://orcid.org/0000-0003-2234-2119","https://orcid.org/0000-0003-1916-8746","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-0727-8171"],"organisation":["The James Hutton Institute","RSPB Centre for Conservation Science","Royal Botanic Garden Edinburgh","Bryophyte Consultant","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1ce52c10-e3ab-4996-b9b7-052c70b3c1ba","10.5285/1ce52c10-e3ab-4996-b9b7-052c70b3c1ba","doi::10.5285/1ce52c10-e3ab-4996-b9b7-052c70b3c1ba"],"availability":"Available","resourceType":"Dataset","rightsHolder":["The James Hutton Institute"],"ror":["https://ror.org/03rzp5127","https://ror.org/0138va192","https://ror.org/0349vqz63","https://ror.org/04xw4m193"],"state":"published","title":"Sitka spruce-associated biodiversity in the UK (Sitka spruce Ecol)","version":1.0,"view":["public","elsdhi"],"shortenedDescription":"Here we collate a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Sitka spruce (Picea sitchensis) in the UK. Sitka spruce is the most commonly planted commercial tree species in the UK. In total 564 species are listed in the..."},{"publicationDate":"2014-05-06T00:00:00.000+00:00","metadataDate":"2025-03-24T16:05:33.000+00:00","catalogue":"eidc","description":"These datasets are the results of a suite of molecular analyses in epilithon and soil samples collected from the Tamar catchment in winter 2013. Data represented for soil eukaryotes, soil bacteria, epilithon bacteria and epilithon eukaryotes. the sample location data for soil and water samples are also included in this series.","documentType":"GEMINI_DOCUMENT","identifier":"5315382a-2772-4490-bbaa-696a97a45005","incomingCitationCount":0,"keyword":["Biodiversity","Tellus","South West project"],"keywordsTheme":["Biodiversity"],"keywordsOther":["Tellus","South West project"],"licence":"Non-Open government licence","lineage":"Field Method description: Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. Soil samples: A range of soils were targetedfrom the Tamar region comprising a range of land uses. Approximate location of sampling sites was determined from maps to provide good spatial coverage of the catchment. Exact sites were determined in the field, considering accessibility and other logistic, and soilstaken according to the following protocol: The exact location of each sample site was determined using a Garmin GPS12. Soil samples were kept in the cold and removed to the laboratory for analyses.","locations":["POLYGON((-6.452 49.863, -6.452 55.812, 1.7675 55.812, 1.7675 49.863, -6.452 49.863))"],"recordType":"Data collection","resourceIdentifier":["1397655271054","CEH:EIDC::1397655271054","https://catalogue.ceh.ac.uk/id/5315382a-2772-4490-bbaa-696a97a45005"],"availability":"Unknown","resourceType":"Aggregation","state":"published","title":"Molecular analyses of soils and epilithon samples from the Tamar catchment","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jone"],"shortenedDescription":"These datasets are the results of a suite of molecular analyses in epilithon and soil samples collected from the Tamar catchment in winter 2013. Data represented for soil eukaryotes, soil bacteria, epilithon bacteria and epilithon eukaryotes. the sample location data..."},{"publicationDate":"2019-01-10T00:00:00.000+00:00","metadataDate":"2026-03-26T13:42:21.000+00:00","authorAffiliation":["University of Birmingham/University of Keele","University of Keele","University of Keele/Dublin Institute of Technology"],"authorGivenName":["S.","L.","A."],"authorFamilyName":["Ullah","Glover","Percival"],"authorFullName":["Ullah, S.","Glover, L.","Percival, A."],"authorOrcid":["https://orcid.org/0000-0002-9153-8847"],"authorRor":["https://ror.org/00340yn33"],"catalogue":"eidc","description":"The dataset contains measurements of fluorescein, dopachrome and nitrous oxide production from incubation experiments of streambed sediments. The sediments were collected in five pseudo-replicates from 0 to 10cm depth using a 5cm-diameter AMS slide hammer and trowel at two locations within the Wood Brook, Staffordshire, in June 2015. Samples were collected from two reaches within the stream, a mid-stream sandy reach and a downstream gravel reach. The sediment was used in laboratory incubation experiments to determine rates of fluorescein diacetate (FDA) hydrolysis (total microbial activity), extracellular phenol oxidase activity (recalcitrant carbon uptake) and potential denitrification from sand versus gravel sediments. Also included is the organic matter content of the sediments. The work was funded by the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"500193f7-2653-4696-8224-276a734ed6ab","incomingCitationCount":0,"givenName":["S.","L.","A.","Sami"],"familyName":["Ullah","Glover","Percival"],"fullName":["Ullah, S.","Glover, L.","Percival, A."],"keyword":["streambed","substrate type","microbial activity","phenol oxidation","fluorescein diacetate hydrolysis activity","extracellular phenol oxidase activity","denitrification","agriculture","gravel","sand","sediment","nitrogen cycle","carbon cycle"],"keywordsOther":["streambed","substrate type","microbial activity","phenol oxidation","fluorescein diacetate hydrolysis activity","extracellular phenol oxidase activity","denitrification","agriculture","gravel","sand","sediment","nitrogen cycle","carbon cycle"],"licence":"Open government licence","lineage":"Sediment samples were collected from the streambed in June 2015 using an AMS slide hammer with a 5 cm diameter and a trowel to collect sediment from between 0 and 10 cm depth. Sediment was collected from two sites and five pseudo-replicates were collected from each site, and subsequently homogenised and sieved (2 mm) within 36 hours of collection, then stored cold until the beginning of the experiments. \nSediment was incubated in three separate incubation experiments to determine rates of FDA hydrolysis, extracellular phenol oxidase activity and potential denitrification. FDA hydrolysis was determined by mixing air-dried sediment with 1 M tris-hydroxymethyl-aminomethane (THAM) buffer and 0.5 ml of FDA substrate, closing the flask and incubating at 37 °C for 3 hours. 2 ml of acetone was then added to the sediment to prevent further reaction. The samples were filtered and fluorescein concentration was determined using a spectrophotometer (Varian Cary UV-Vis). The concentration of fluorescein in the control was subtracted from that in the sample, and then normalised by the mass of soil used for that sample, and the number of hours of the incubation. Extracellular phenol oxidase activity was determined by mixing dried sediment with deionised water, and then adding 10 mM dihydroxy-phenylalanine. The samples were then shaken at 25 °C for 30 minutes, before centrifuging to terminate the reaction. The solution was then filtered and dopachrome concentration was measured using a spectrophotometer (Varian Cary UV-Vis). The potential denitrification was determined by adding stock solution to field-moist sediment in dark bottles. The stock solution used was ultrapure water for control experiments, nitrate solution for nitrate-spiked experiments, glucose solution for carbon-spiked experiments and nitrate+glucose solution for nitrate-carbon-spiked solutions. Sample bottles were made anoxic, acetylene gas was added to prevent the conversion of N2O to N2, and samples were shaken during incubation at 22 °C. Gas samples were taken from the headspace at zero, three and six hours. N2O concentrations in the gas samples were determined on an Agilent 7890A gas chromatograph – micro electron detector. Concentrations were converted to production per mass of sediment per hour by normalising the concentration of fluorescein and dopachrome by the mass of sediment used and the length of the incubation period, and calculating the difference in N2O concentration between zero and six hours and normalising by the mass of sediment used and the length of the incubation period. Results from the experiments were entered into an Excel spreadsheet and exported as a comma separated value file (.csv) for ingestion into the EIDC.","locations":["POLYGON((-2.314 52.815, -2.314 52.831, -2.277 52.831, -2.277 52.815, -2.314 52.815))"],"orcid":["https://orcid.org/0000-0002-9153-8847"],"organisation":["University of Birmingham/University of Keele","University of Keele","University of Keele/Dublin Institute of Technology","University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/500193f7-2653-4696-8224-276a734ed6ab","10.5285/500193f7-2653-4696-8224-276a734ed6ab","doi::10.5285/500193f7-2653-4696-8224-276a734ed6ab"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00340yn33","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"Rates of fluorescein diacetate hydrolysis, phenol oxidation and potential denitrification in sand and gravel sediments from an agriculturally-impacted stream","version":1.0,"view":["public","phtr"],"shortenedDescription":"The dataset contains measurements of fluorescein, dopachrome and nitrous oxide production from incubation experiments of streambed sediments. The sediments were collected in five pseudo-replicates from 0 to 10cm depth using a 5cm-diameter AMS slide hammer and trowel..."},{"metadataDate":"2024-02-08T17:38:16.000+00:00","catalogue":"eidc","description":"The data were collected as part of a long-term population monitoring project on the breeding biology and behaviour of birds, and as part of a project on the ecology of behavioural contagion in natural systems. The dataset consists of bird ringing records, bird breeding records, and PIT-tag recordings of birds discovering novel food patches in relation to experimentally manipulated local population densities. Data collection took place in Wytham woods, Oxfordshire, UK in 2020 and 2021. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1).","documentType":"GEMINI_DOCUMENT","identifier":"2eb97d29-1ebd-41e5-8583-019d0513ce06","incomingCitationCount":0,"keyword":["Ornithology","population density","patch discovery","experiment","breeding biology"],"keywordsOther":["Ornithology","population density","patch discovery","experiment","breeding biology"],"licence":"Non-Open government licence","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2eb97d29-1ebd-41e5-8583-019d0513ce06"],"availability":"Unknown","resourceType":"Aggregation","state":"published","title":"Bird breeding records and data from an experimental manipulation of local population density in Wytham Woods, UK, 2020-2021","version":1.0,"view":["public","margla"],"shortenedDescription":"The data were collected as part of a long-term population monitoring project on the breeding biology and behaviour of birds, and as part of a project on the ecology of behavioural contagion in natural systems. The dataset consists of bird ringing records, bird breeding..."},{"publicationDate":"2023-07-20T00:00:00.000+00:00","metadataDate":"2026-04-14T14:49:07.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["K."],"authorFamilyName":["Powell"],"authorFullName":["Powell, K."],"authorOrcid":["https://orcid.org/0000-0002-6089-0872"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA).\n\nThe data were collected from sites throughout England, between 2002-2019, from March to May, and September to November.  Samples were collected using three-minute kick-samples, whereby a net is used to catch invertebrates and debris flowing downstream of an area in a river which is disturbed by a recorder for three minutes.  Data before 2002 were excluded as abundance of macroinvertebrates was not recorded widely before this year. \n\nThe data were originally collected for the purpose of understanding water quality by the Environment Agency. The original EA data contains raw counts of mixed-taxonomic groupings of invertebrates and some diatoms and other taxa, from rivers in England with multiple sampling methodologies. Here, the derived data has been processed in such a way to combine counts at a single taxonomic level (family) containing only taxonomic groups of interest for the research, and the data are limited to one sampling method.","documentType":"GEMINI_DOCUMENT","identifier":"f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","incomingCitationCount":1,"givenName":["Kathryn","K."],"familyName":["Powell"],"fullName":["Powell, K."],"keyword":["Water quality","Macroinvertebrates ","Freshwater","Ephemeroptera","Plecoptera","Hemiptera","Megaloptera","Odonata","Coleoptera","Trichoptera","Turbellaria","Annelida","Crustacea","Diptera","Mollusca","mayflies","stoneflies","caddis flies","dragonflies","damselflies","worms"],"keywordsTheme":["Water quality"],"keywordsOther":["Macroinvertebrates ","Freshwater","Ephemeroptera","Plecoptera","Hemiptera","Megaloptera","Odonata","Coleoptera","Trichoptera","Turbellaria","Annelida","Crustacea","Diptera","Mollusca","mayflies","stoneflies","caddis flies","dragonflies","damselflies","worms"],"licence":"Open government licence","lineage":"This data has been processed in the following manner: \n * Data from all EA sampling regions (Anglian, Midlands, Northeast, Northwest, Southern, Southwest and Thames) have been combined into one data file\n * Samples taken outside of the Spring (March-May inclusive) and Autumn (September-November inclusive) were removed\n * Data were restricted to three-minute kick samples only (meaning 'dredge' samples were removed)\n * All data taken before 2002 were removed\n * Only data classified in the following taxa by the EA were retained: Ephemeroptera, Plecoptera, Hemiptera, Megaloptera, Odonata, Coleoptera, Trichoptera, Turbellaria, Annelida, Crustacea, Diptera and Mollusca\n * Total abundance of macroinvertebrates per Sample ID were summed at the family-level within these taxa\n * Eleven samples with anomalous abundance counts for a taxonomic group were removed from the data\n * The number of sampling occurrences was calculated for each site-season-year combination, and only sites where samples had been taken in both spring and autumn at least once for a minimum of three years in the remaining time series (2002-2019) were retained.\n\nThe data have been pooled by family and wider taxonomic groupings.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"orcid":["https://orcid.org/0000-0002-6089-0872"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Reading","Environment Agency"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","doi::10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Reading","Environment Agency"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Environment Agency Ecology and Fish Data Explorer"],"title":"Freshwater macroinvertebrate family abundances in spring and autumn, England, 2002-2019","topic":["0/Water quality/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA).\n\nThe data were collected from..."},{"publicationDate":"2020-07-27T00:00:00.000+00:00","metadataDate":"2026-03-26T13:43:15.000+00:00","catalogue":"eidc","description":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all scheme data upto the year of publication.\n\nDatasets currently available for download include: annual site level indices of abundance, UK and country-level collated indices of abundance, and UK trends in abundance for all commonly occurring UK butterfly species on monitored sites across the UK since 1976, as well as annually updated site location data for all UKBMS sites. Access to other data should be requested directly via the UKBMS website - https://www.ukbms.org/\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation, the UK Centre for Ecology & Hydrology, British Trust for Ornithology, and the Joint Nature Conservation Committee. The UKBMS is indebted to all volunteers who contribute data to the scheme.\n","documentType":"GEMINI_DOCUMENT","identifier":"c8b96827-6eb1-47c7-9636-b26e09141591","incomingCitationCount":0,"givenName":["Marc"],"familyName":["Botham"],"fullName":["Botham, M."],"keyword":["Lepidoptera","butterflies"],"keywordsOther":["Lepidoptera","butterflies"],"licence":"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))"],"organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c8b96827-6eb1-47c7-9636-b26e09141591"],"availability":"Unknown","resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"state":"published","title":"United Kingdom Butterfly Monitoring Scheme (UKBMS) 1976-2015 data","version":1.0,"view":["public","hajd"],"shortenedDescription":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all..."}],"facets":[{"fieldName":"topic","displayName":"Topic","hierarchical":true,"admin":false,"results":[{"name":"Agriculture","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0/Agriculture/","active":false,"count":78},{"name":"Animal behaviour","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0/Animal%20behaviour/","active":false,"count":85},{"name":"Biodiversity","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0/Biodiversity/","active":false,"count":285},{"name":"Climate and climate change","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0/Climate%20and%20climate%20change/","active":false,"count":160},{"name":"Ecosystem services","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0/Ecosystem%20services/","active":false,"count":41},{"name":"Environmental 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