{"numFound":140,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FEnvironmental+survey%2F&facet=funder%7CNatural+Environment+Research+Council&facet=topic%7C0%2FEnvironmental+risk%2F&facet=resourceStatus%7CAvailable&facet=recordType%7CDataset","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FEnvironmental+survey%2F&facet=funder%7CNatural+Environment+Research+Council&facet=topic%7C0%2FEnvironmental+risk%2F&facet=resourceStatus%7CAvailable&facet=recordType%7CDataset","results":[{"publicationDate":"2018-06-21T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Bangor University"],"authorGivenName":["M.R.","D.M.","H.C. ","D."],"authorFamilyName":["Marshall","Cooper","Glanville","Jones"],"authorFullName":["Marshall, M.R.","Cooper, D.M.","Glanville, H.C.","Jones, D."],"authorOrcid":["https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0001-7578-7918","https://orcid.org/0000-0002-8192-6678"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"catalogue":"eidc","description":"Data are presented of tensiometer measurements as centimetres of water from a field experiment in the Conwy catchment. The data were collected between October 2013 and January 2015 using tensiometers inserted into boreholes.\n\nThe data were collected by trained members of staff from Bangor University and the Centre for Ecology & Hydrology.\n\nThe samples were taken to provide supporting information for assessing the relationship between soil microbial populations and soil moisture status.\n\nThe data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/J011991/1"],"identifier":"875ca233-ffaa-45c2-b4d2-db7d21bc0e61","incomingCitationCount":0,"givenName":["D.M.","M.R.","H.C. ","D."],"familyName":["Cooper","Marshall","Glanville","Jones"],"fullName":["Cooper, D.M.","Marshall, M.R.","Glanville, H.C.","Jones, D."],"keyword":["Tensiometer","Conwy catchment","Environmental survey","Soil","Turf2Surf (T2S)","Macronutrient Cycling Programme","MCP"],"keywordsInstrument":["Tensiometer"],"keywordsPlace":["Conwy catchment"],"keywordsTheme":["Environmental survey","Soil"],"keywordsOther":["Turf2Surf (T2S)","Macronutrient Cycling Programme","MCP"],"licence":"Open government licence","lineage":"Tensiometers were inserted vertically into holes bored using a hand auger. Soil water potential was measured using refillable Delta-T Devices type SWT4R tensiometers connected to a Delta-T logger. Data were regularly downloaded using Delta-T software to a laptop. \nData were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC\n","locations":["POLYGON((-3.784 53.201, -3.784 53.204, -3.781 53.204, -3.781 53.201, -3.784 53.201))"],"orcid":["https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0001-7578-7918","https://orcid.org/0000-0002-8192-6678"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","Bangor University"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/875ca233-ffaa-45c2-b4d2-db7d21bc0e61","10.5285/875ca233-ffaa-45c2-b4d2-db7d21bc0e61"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/006jb1a24"],"state":"published","supplementalDescription":["Project website"],"supplementalName":["Turf2Surf"],"title":"Tensiometer measurements from a field experiment in the Conwy valley, North Wales, UK (2013 - 2015)","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"Data are presented of tensiometer measurements as centimetres of water from a field experiment in the Conwy catchment. The data were collected between October 2013 and January 2015 using tensiometers inserted into boreholes.\n\nThe data were collected by trained members..."},{"publicationDate":"2019-12-17T00:00:00.000+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 weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially contained four grams of dried oil palm frond cut into 2 cm sections and the bags were oven-dried at 70oC to a constant weight. The plantations consisted of mature oil palm (data from 2014), and mature and replanted oil palm (data from 2016-2017) plots which are part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). \n\nEighteen 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 dataset only) were replanted in 2014. Plots were organised in triplets and 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\nThere were three types of litter bags: fine mesh, 2mm mesh, and fine mesh with four 1 cm holes. Decomposition was measured six times from 2013 to 2017, including a reduced protocol in May 2016 at the peak of an El Niño Southern Oscillation (ENSO) related drought.\n\nThe project 'Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes' was funded by the Natural Environment Research Council under NE/P00458X/1.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P00458X/1"],"identifier":"592051e6-016f-49c6-9ef9-799a0f842100","incomingCitationCount":2,"givenName":["E. C.","A.E.","E.C.","S.H.","A.D."],"familyName":["Turner","Eycott","Luke","Advento"],"fullName":["Turner, E.C.","Eycott, A.E.","Luke, S.H.","Advento, A.D."],"keyword":["Environmental survey","oil palm","Elaeis guineensis"],"keywordsTheme":["Environmental survey"],"keywordsOther":["oil palm","Elaeis guineensis"],"licence":"Open government licence","lineage":"Decomposition was measured seven times from 2013 to 2017 (start point of collection period: February 2013, February 2014, July 2016, October 2016, February 2017 and May 2017). Samples were weighed using the same balance each time, at the SMARTRI Libo research station, near Pekanbaru, Indonesia and the samples remain stored there at the time of data submission. Basic data checks were carried out (checks for impossible values, such as sample collection dates occurring before sample deposit dates). We have error-checked 50% of the 2016 to 2017 data entry against the original field sheets, finding an acceptable error rate of <1% and correcting errors when we encountered them. All changes were recorded and that information remains with the dataset.","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":["University of Cambridge","Nord University","SMART Research Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/592051e6-016f-49c6-9ef9-799a0f842100","10.5285/592051e6-016f-49c6-9ef9-799a0f842100"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"state":"published","supplementalName":["BEFTA website"],"title":"Oil palm frond litter decomposition rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially..."},{"publicationDate":"2023-11-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research"],"authorGivenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M."],"authorFamilyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"authorFullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M."],"authorOrcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350"],"catalogue":"eidc","description":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering the different agrochemicals used and their differing forms of environmental impact. We provide four mapped products: IYR for Nitrogen fertilisers, IYR for Phosphorus fertilisers, IYR for pesticide risk to earthworms, and IYR for pesticide risk to honeybees. The IYR is calculated using scaled rather than absolute values, with the maximum value in each yield and inputs dataset set as 1, so that all inputs and rewards are expressed proportionally to each other.\n\nThe research was funded under research programme NE/N018125/1 ASSIST and NE/W005050/1 AgZero+.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","incomingCitationCount":0,"givenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M.","Hannah"],"familyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"fullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M.","Risser, H."],"keyword":["Agriculture","Environmental risk","Mapping","Land use","Modelling","ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Land use","Modelling"],"keywordsOther":["ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"licence":"Open government licence","lineage":"We mapped estimated pesticide and fertiliser applications to 1km grid squares in England using data from the Fera Pesticide Utilisation Survey and the British Survey of Fertiliser Practice, respectively. Estimated pesticide applications were converted to risk values to honeybees and earthworms using information on toxicity from the Pesticide Property Database. Areas with winter wheat crop were identified from the UKCEH Land Cover® plus: Crops map. Data from the June Survey of Agricultural and Horticultural activity were used to create an average wheat yield map for England.\n\nWe then compared the fertiliser and pesticide application datasets separately to estimated yields of wheat in order to derive the Input to Yield Ratio (IYR) for four separate agrochemical inputs: Nitrogen fertilisers, Phosphorus fertilisers, pesticide exposure for earthworms, and pesticide exposure for honeybees.","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/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","10.5285/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"state":"published","title":"Input to Yield Ratio (IYR) maps for wheat farming in England, 2010-2017","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Land use/","0/Modelling/"],"version":1.0,"view":["public","rafbar"],"shortenedDescription":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering..."},{"publicationDate":"2020-03-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","University of Liverpool","Ptyxis Ecology","Natural England"],"authorGivenName":["R.J.","R.H.","J.","M.","C.M."],"authorFamilyName":["Rose","Marrs","O'Reilly","Furness","Wood"],"authorFullName":["Rose, R.J.","Marrs, R.H.","O'Reilly, J.","Furness, M.","Wood, C.M."],"authorOrcid":["https://orcid.org/0000-0001-9993-5743","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The dataset consists of plant species data from a range of upland vegetation types.  The study sites are situated within the Moor House National Nature Reserve in the North Pennines, UK.  The area is grazed by free-ranging sheep and paired plots of grazed and ungrazed vegetation were set up at nine locations between 1953 and 1972.  These plots have been monitored using the same (pin frame) methods at irregular intervals between their establishment and 2016.  Within each plot fixed transect and frame positions are used.  The data includes structural and frequency data for vascular plants and presence/absence data for bryophytes and lichens.\n\nThe plots were set up and are currently maintained by Natural England (NE) and its predecessor bodies and since 1982 they have been monitored by the Environmental Change Network (ECN) through the UK Centre for Ecology and Hydrology (UKCEH).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"c72ab043-1b02-42c9-94e8-c1cae42b3dc8","incomingCitationCount":1,"givenName":["R.J.","R.H.","J.","M.","C.M.","Rob"],"familyName":["Rose","Marrs","O'Reilly","Furness","Wood"],"fullName":["Rose, R.J.","Marrs, R.H.","O'Reilly, J.","Furness, M.","Wood, C.M.","Rose, R."],"keyword":["Moor House National Nature Reserve","Biodiversity","Environmental survey","Land cover","vegetation","grazing"],"keywordsPlace":["Moor House National Nature Reserve"],"keywordsTheme":["Biodiversity","Environmental survey","Land cover"],"keywordsOther":["vegetation","grazing"],"licence":"Open government licence","lineage":"The fixed plots are permanently marked with wooden posts or metal markers so that the transect and pin frame positions can be relocated using tape measures and a metal detector.  All surveys were done by botanical experts with previous upland vegetation recording experience and specimens not identified in the field were collected and examined in the laboratory.  The data was collected on paper recording sheets and double checked post entry into the datafile.","locations":["POLYGON((-2.373 54.624, -2.373 54.785, -2.05 54.785, -2.05 54.624, -2.373 54.624))"],"orcid":["https://orcid.org/0000-0001-9993-5743","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","University of Liverpool","Ptyxis Ecology","Natural England","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c72ab043-1b02-42c9-94e8-c1cae42b3dc8","10.5285/c72ab043-1b02-42c9-94e8-c1cae42b3dc8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Long-term monitoring of vegetation in exclosure and grazing plots at Moor House National Nature Reserve, 1953-2016","topic":["0/Biodiversity/","0/Environmental survey/","0/Land cover/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The dataset consists of plant species data from a range of upland vegetation types.  The study sites are situated within the Moor House National Nature Reserve in the North Pennines, UK.  The area is grazed by free-ranging sheep and paired plots of grazed and ungrazed..."},{"publicationDate":"2022-10-19T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","University of Liverpool","National Grid"],"authorGivenName":["C.J.","S.","J.R.","A.J.","D."],"authorFamilyName":["Feeney","Godfrey","Cooper","Plater","Dodds"],"authorFullName":["Feeney, C.J.","Godfrey, S.","Cooper, J.R.","Plater, A.J.","Dodds, D."],"authorOrcid":["https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0001-7480-5758","https://orcid.org/0000-0003-4957-2774","https://orcid.org/0000-0001-7043-227X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years 2018 to 2050. These scenarios include: “baseline” where we assumed the 32 years of flow from 2018 to 2050 matched the preceding 32-year period; and “plus 10, 20, 30, 40 & 50%” where we assumed daily averaged flow magnitudes increased by 10, 20, 30, 40 or 50%, depending on the scenario. Simulations were run using the CAESAR-Lisflood landscape evolution model. Input files that were used to drive the simulations include a 15-metre resolution DEM covering a ~4.5 km long reach of river valley, and daily-averaged flow inputs (m3 s-1). Landscape changes over time were extracted at the locations of each electricity transmission tower, with the severity of erosion used to judge the relative risks of each tower from future climate change.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S01697X/1) as part of the project: ‘Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient’.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":[" NE/S01697X/1 NE/R016429/1 "],"identifier":"78bc21a9-39e0-4efc-992c-5587439fe6be","incomingCitationCount":1,"givenName":["C.J.","S.","J.R.","A.J.","D.","Christopher"],"familyName":["Feeney","Godfrey","Cooper","Plater","Dodds"],"fullName":["Feeney, C.J.","Godfrey, S.","Cooper, J.R.","Plater, A.J.","Dodds, D.","Feeney, C."],"keyword":["Environmental risk","CAESAR-Lisflood","erosion","hazard","climate change","river","floodplain","infrastructure","electricity"],"keywordsTheme":["Environmental risk"],"keywordsOther":["CAESAR-Lisflood","erosion","hazard","climate change","river","floodplain","infrastructure","electricity"],"licence":"Open government licence","lineage":"Historic river channel changes were quantified for the years 1976-2018 by digitising channel boundaries from old Ordnance Survey maps and aerial imagery. Floodplain erosion and deposition rates (m2 yr-1) were estimated by overlaying the digitised channel features to create a time-series of landscape evolution. The years 1976-2018 represent a combined overlapping record where we have available OS maps and aerial imagery, as well as continuous recorded daily-averaged flow data for the Ashton Weir (station no. 69007) from the National River Flow Archive. The CAESAR-Lisflood model was calibrated using this historic flow series and a modified version of a LiDAR DEM from the Environment Agency. Simulation results during calibration were compared against digitised historic channel changes, with the 2 best results chosen for simulation of future flow scenarios. A total of 12 simulations was run to determine which of 40 electricity transmission towers would be at greatest risk from river channel erosion. These 12 simulations consist of the 2 calibrated models × 6 hypothetical future flow scenarios.\n\nThe CAESAR-Lisflood model simulates processes using deterministic algorithms. This means that without changing inputs, the model can be run repeatedly and return an identical result. Input files necessary to run the CAESAR-Lisflood model are included in this dataset so that this repeatability can be independently verified. R code is also provided to allow the user to reproduce most of the analyses reported in the associated paper.\n\nRiver channel change is a “chaotic” process, which means prediction of its future dynamics is riddled with uncertainties. Added to this, our chosen flow scenarios are hypothetical, and constructed by multiplying the most recent historical 32-year flow record by 1-1.5 depending on the scenario. Thus, care should be taken when interpreting our results. We suggest that we can accurately pinpoint which towers are most at risk from future erosion, but not the exact timings of these risks.","locations":["POLYGON((-2.4 53.43, -2.4 53.46, -2.34 53.46, -2.34 53.43, -2.4 53.43))"],"orcid":["https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0001-7480-5758","https://orcid.org/0000-0003-4957-2774","https://orcid.org/0000-0001-7043-227X"],"organisation":["UK Centre for Ecology & Hydrology","University of Liverpool","National Grid","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78bc21a9-39e0-4efc-992c-5587439fe6be","10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["If the user wishes to recreate the model outputs, they will need to use the CAESAR-Lisflood model, which is available from:\n\nWe would also recommend using version 4 of R to run any of the R scripts"],"title":" Predicted erosion hazards to electricity transmission towers in the Mersey River valley under hypothetical future flow scenarios, 2018-2050","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years..."},{"publicationDate":"2024-06-19T00:00:00.000+00:00","authorAffiliation":["University of Leeds"],"authorGivenName":["Y.","L.","J.","H.F."],"authorFamilyName":["Wang","Carter","Smith","Chappell"],"authorFullName":["Wang, Y.","Carter, L.","Smith, J.","Chappell, H.F."],"authorOrcid":["https://orcid.org/0000-0002-1146-7920","https://orcid.org/0000-0002-7465-6067","https://orcid.org/0000-0003-2043-0422"],"authorRor":["https://ror.org/024mrxd33"],"catalogue":"eidc","description":"These data comprise input and output files from first principles molecular dynamics calculations on the soil mineral kaolinite, detailing its interactions with four different veterinary antibiotics, namely enrofloxacin, florfenicol, ciprofloxacin and florfenicol amine. The dataset includes the final, complete molecular dynamics trajectories of the sorption process of each antibiotic on the mineral surfaces (Al-terminated or Si-terminated). The data were collected as part of the NERC Exploring the Frontiers grant (Grant No. NE/X009572/1), ‘Antibiotic chemistry in agricultural soils: modelling mineral-antibiotic interactions from first principles’. The work fits within the broad field of ‘emerging contaminants’ in the environment, and understanding drivers of antimicrobial resistance (AMR).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/X009572/1"],"identifier":"ce86e353-5068-48a6-99bc-4898201d6e6b","incomingCitationCount":0,"givenName":["H.F.","Y.","L.","J."],"familyName":["Chappell","Wang","Carter","Smith"],"fullName":["Chappell, H.F.","Wang, Y.","Carter, L.","Smith, J."],"keyword":["Environmental risk","emerging contaminants","sorption chemistry","kaolinite","veterinary medicine","veterinary antibiotics"],"keywordsTheme":["Environmental risk"],"keywordsOther":["emerging contaminants","sorption chemistry","kaolinite","veterinary medicine","veterinary antibiotics"],"licence":"Open government licence","lineage":"The data were collected on the high-performance computers at Leeds University (ARC4) and the national facility ARCHER2. The data were collected throughout 2023. The data were collected as part of a NERC Exploring the Frontiers Grant Awarded in November 2022.","orcid":["https://orcid.org/0000-0003-2043-0422","https://orcid.org/0000-0002-1146-7920","https://orcid.org/0000-0002-7465-6067"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ce86e353-5068-48a6-99bc-4898201d6e6b","10.5285/ce86e353-5068-48a6-99bc-4898201d6e6b"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","title":"Sorption simulation data of veterinary antibiotic interactions with kaolinite surfaces","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"These data comprise input and output files from first principles molecular dynamics calculations on the soil mineral kaolinite, detailing its interactions with four different veterinary antibiotics, namely enrofloxacin, florfenicol, ciprofloxacin and florfenicol amine...."},{"publicationDate":"2023-03-03T00:00:00.000+00:00","authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme "],"catalogue":"eidc","description":"This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of fixed plots at the metre-scale. Other information includes the date of sampling, data regarding the spatial location of the plot, and an assessment of whether or not the recorded broad habitat is reported to have changed between surveyor visits.\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.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"a12b5c70-c0e2-48cf-b0b7-3e95791feca9","incomingCitationCount":0,"fullName":["National Plant Monitoring Scheme "],"keyword":["Environmental survey","National Plant Monitoring Scheme","validation","training","plant community","vegetation","earth observation","habitat","environmental monitoring"],"keywordsTheme":["Environmental survey"],"keywordsOther":["National Plant Monitoring Scheme","validation","training","plant community","vegetation","earth observation","habitat","environmental monitoring"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system through the National Plant Monitoring Scheme (NPMS) website or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 48.137, -8.648 60.861, 2.944 60.861, 2.944 48.137, -8.648 48.137))"],"organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a12b5c70-c0e2-48cf-b0b7-3e95791feca9","10.5285/a12b5c70-c0e2-48cf-b0b7-3e95791feca9"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"state":"published","supplementalName":["Indicia database system","National Plant Monitoring Scheme website"],"title":"Habitat samples from the National Plant Monitoring Scheme, 2015-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of..."},{"publicationDate":"2020-05-07T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Institute of Environmental Assessment and Water Research"],"authorGivenName":["C.L.","C.","M. ","N.A.","L.A."],"authorFamilyName":["Barnett","Wells","Izquierdo","Beresford","Walker"],"authorFullName":["Barnett, C.L.","Wells, C.","Izquierdo, M.","Beresford, N.A.","Walker, L.A."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios.\n\nSamples of soil, water, vegetation (grasses, trees, herbaceous plants and shrubs), fungi, earthworms, bees, wood mice, bank voles, common frogs, frogspawn and European toads were collected between March 2015 and October 2016 from two forests in north-east England. The study was conducted to target representative terrestrial species of the ICRPs Reference Animals and Plants.\n\nFunding for this work was via the TREE project funded by NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Environment Agency","Radioactive Waste Management Ltd"],"grant":["NE/L000318/1"],"identifier":"8f85c188-a915-46ac-966a-95fcb1491be6","incomingCitationCount":1,"givenName":["Cath","C.L.","C.","M. ","N.A.","L.A."],"familyName":["Barnett","Wells","Izquierdo","Beresford","Walker"],"fullName":["Barnett, C.","Barnett, C.L.","Wells, C.","Izquierdo, M.","Beresford, N.A.","Walker, L.A."],"keyword":["TREE","Radioecology","Environmental risk","Environmental survey","radionuclide","caesium"],"keywordsProject":["TREE"],"keywordsTheme":["Radioecology","Environmental risk","Environmental survey"],"keywordsOther":["radionuclide","caesium"],"licence":"Open government licence","lineage":"Data consist of stable element and radionuclide concentrations, and estimated concentration ratios for biota, soil and water collected from two forests in north-east England (March 2015 to October 2016). Samples were analysed by ICP-MS and, where sample size was sufficient, gamma analysis.\n\nSoil: pH and loss on ignition were determined.\n\nWater: Samples were filtered through Whatman 541 filter paper. \n\nWood mice: Trapping was conducted using \"Longworth\" traps. Randomly selected individuals were dissected and a beetle (Dermestes maculatus) colony was used to clean the bones of soft tissue. \n\nBank voles: Trapping was conducted as for Wood mice. Vole samples were ashed. \n\nBee species: Pan traps were placed on the ground. Bees collected were bulked by species and homogenised in an agate mortar. \n\nEarthworms: Worms were collected by digging to circa 30 cm, they were rinsed in de-ionised water and placed on damp tissue paper to allow gut evacuation. Samples were bulked by species and homogenised by agate mortar. \n\nCommon frogs and spawn: Frogs were collected by hand during darkness. Randomly selected individuals were dissected and a beetle colony used to clean bones. Spawn samples were washed in de-ionised water and freeze-dried prior to homogenisation in an agate mortar. \n\nEuropean toads: Toads were collected as for frogs. Randomly selected individuals had their gastrointestinal tract removed, the remaining carcass was washed in de-ionised water and then ashed. \n\nRoe deer: Deer were obtained via the Forestry Commission. Animals were dissected and all bone/carcass samples were cleaned by placing in a beetle colony. Tissue samples were freeze dried and homogenised using an agate mill or mortar. \n\nPine Trees: Samples were collected of small branches, needles and heartwood core (sampled using an increment borer). Samples were air dried (~20oC) and the needles and branches subsequently finely ground using an agate mill or mortar (dependent upon size); the core samples were reduced manually to ~5mm in diameter. \n\nWild grasses: Samples of both leaf and flowering stems were collected. They were air dried and finely ground (using an agate mill or mortar dependent upon sample size). \nHerbaceous plants and shrubs: Opportunistic samples were collected from a variety of species abundant at the main sampling sites and from areas where the roe deer were obtained.  Samples were air dried and finely ground (using an agate mill or mortar). \n\nFungi: Opportunistic samples of fungal fruiting bodies were collected mainly from areas where the roe deer were obtained. Samples were identified by species, oven dried (~60oC) and subsequently finely ground (~2mm) using either an agate mortar or \"coffee\" grinder depending upon sample size. Species were bulked by sampling location and, were possible, by feeding strategy. \n\nICP-MS analysis was conducted using a Thermo-Fisher Scientific iCAP-Q. Samples subjected to ashing pre-treatment had undissolved black particles in the solutions which suggests digestion was incomplete. Similarly, TMAH digestion is not able to fully digest plant material therefore variable degrees of dissolution were observed; pine tree core samples showed poor dissolution rates and therefore the iodine concentrations reported may be underestimated. Digestion of replicates, reference materials and blanks were undertaken to check accuracy and precision. Detection limits were calculated as three times the standard deviation of the reagent blanks. \n\nGamma analysis was conducted using hyper-pure germanium detectors calibrated for efficiency using a certified reference solution (National Physics Laboratory R08-04). Spectra were analysed using Canberra Apex software and activity concentrations decay corrected to the day of sampling. Replicate analyses were conducted on random samples and process blanks for quality assurance purposes. ","locations":["POLYGON((-2.892 53.197, -2.892 55.44, 1.197 55.44, 1.197 53.197, -2.892 53.197))"],"orcid":["https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Environmental Assessment and Water Research","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8f85c188-a915-46ac-966a-95fcb1491be6","10.5285/8f85c188-a915-46ac-966a-95fcb1491be6"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Transfer parameters for ICRP reference animals and plants collected from a forest ecosystem. Barnett, C.L.; Beresford, N.A.; Walker, L.A.; Baxter, M.; Wells, C.; Copplestone, D. (2014). Radiation and Environment Biophysics, 53, 125-149. "],"title":"Element and radionuclide concentrations in wildlife (including representative species of the ICRP's Reference Animals and Plants) and associated soils from forests in north-east England, 2015-2016","topic":["0/Radioecology/","0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios.\n\nSamples of soil, water, vegetation (grasses, trees, herbaceous plants..."},{"publicationDate":"2024-03-15T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["H.","G.","K."],"authorFamilyName":["Feuchtmayr","Rankin","McShane","Le Quesne"],"authorFullName":["Feuchtmayr, H.","Rankin, G.","McShane, G.","Le Quesne, K."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains hourly water temperature data and hourly air temperature data of an experimental mesocosm facility from 21st April to 7th November 2023. The sixteen mesocosms (1 m deep, 2 m diameter) were filled with water from Windermere. The water temperature was measured every five minutes and an hourly average was calculated. Air temperature was measured by a weather station within the mesocosm compound. The experiment aimed to investigate different N:P nutrient ratios and water temperature was measured as this is an important factor needed to understand the results. ","documentType":"GEMINI_DOCUMENT","funder":["European Commission, Directorate-General for Research & Innovation","Natural Environment Research Council"],"grant":["No 871081 ","NE/X00497X/1"],"identifier":"406aee8f-3b85-4be6-ae7d-c92c8168a06f","incomingCitationCount":0,"givenName":["H.","G.","K."],"familyName":["Feuchtmayr","Rankin","McShane","Le Quesne"],"fullName":["Feuchtmayr, H.","Rankin, G.","McShane, G.","Le Quesne, K."],"keyword":["AQUACOSM-plus","Environmental survey","freshwater","mesocosm experiment","water temperature","air temperature"],"keywordsProject":["AQUACOSM-plus"],"keywordsTheme":["Environmental survey"],"keywordsOther":["freshwater","mesocosm experiment","water temperature","air temperature"],"licence":"Open government licence","lineage":"The water for the 16 mesocosms was collected from Windermere on 29th and 30th March 2023 and nutrients were added to some of the mesocosms throughout the experiment. Water temperature was measured every 5 minutes by platinum resistance thermometers (PRT) shaded by a plastic cover, sited around mid-depth, radially offset by 30 cm from the mesocosms’ side wall and logged by a Campbell Scientific Data Logger. The hourly average presented here is calculated from 5-minutely data over the following hour, e.g., the value for 1 p.m. is the average of the data between 1 and 1:55 p.m. All data are given in GMT (Greenwich Mean Time) and dates from 21st April to 7th November 2023. \n\nWhenever the difference between the hourly averaged two water temperature sensor data was less than 0.2 °C, the average between both temperatures was calculated. If the difference was larger than 0.2 °C, data were checked against the overall average of the temperature sensors recorded by each data logger. Whenever the difference was larger than 0.2 °C, one of the two temperature sensors had drifted either higher than the average or below the average temperature. In those cases, this sensor was ignored and only data from one temperature sensor was used during those occasions (see table in the supporting documentation).\n\nAir temperature was measured at a weather station within the mesocosm compound (Vaisala weather transmitter WXT520) at around 2.7m height.\n","locations":["POLYGON((-2.776 54.013, -2.776 54.015, -2.774 54.015, -2.774 54.013, -2.776 54.013))"],"orcid":["https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/406aee8f-3b85-4be6-ae7d-c92c8168a06f","10.5285/406aee8f-3b85-4be6-ae7d-c92c8168a06f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Hourly water temperature of 16 experimental mesocosms and hourly air temperature from April to November 2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset contains hourly water temperature data and hourly air temperature data of an experimental mesocosm facility from 21st April to 7th November 2023. The sixteen mesocosms (1 m deep, 2 m diameter) were filled with water from Windermere. The water temperature..."},{"publicationDate":"2020-03-27T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorGivenName":["S.","W.","A."],"authorFamilyName":["Cavers","Wachowiak","Perry"],"authorFullName":["Cavers, S.","Wachowiak, W.","Perry, A."],"authorOrcid":["https://orcid.org/0000-0003-2139-9236","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0002-7889-7597"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04g6bbq64"],"catalogue":"eidc","description":"This dataset contains  ~50,000 single nucleotide polymorphisms (SNPs, DNA mutations) for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex, which were selected for inclusion on a 50K SNP Axiom array","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"cbaa464a-ac18-42bf-8518-c746d8d97270","incomingCitationCount":1,"givenName":["S.","W.","A.","Stephen"],"familyName":["Cavers","Wachowiak","Perry"],"fullName":["Cavers, S.","Wachowiak, W.","Perry, A."],"keyword":["Environmental survey","Micoarray","Speciation","Natural selection ","Divergence ","Polymorphism ","Genotyping "],"keywordsTheme":["Environmental survey"],"keywordsOther":["Micoarray","Speciation","Natural selection ","Divergence ","Polymorphism ","Genotyping "],"licence":"Open government licence","lineage":"The array comprised 49,829 SNPs from several sources, as follows. The majority (N = 49,052) were obtained from transcriptome sequencing of four pine species: Pinus sylvestris, P. mugo, P. uncinata and P. uliginosa (Wachowiak et al., 2015). These included SNPs which were common to all species and also SNPs fixed in one species and polymorphic within and among others. The set of SNPs identified by Wachowiak et al. (2015) was filtered by the array manufacturer (Thermo Fisher) based on p-convert values signifying the SNP array quality, and a list of recommended and non-recommended SNP probes (avoiding SNPs with polymorphisms within 35 bp) was provided to the authors. A further set of SNPs (N = 578) were included from candidate genes (N = 279), which had been resequenced in previous population genetic studies of the pine species (Kujala & Savolainen, 2012; Mosca, Eckert, Di Pierro, et al., 2012; Palmé, Wright, & Savolainen, 2008; Wachowiak, Balk, & Savolainen, 2009; Wachowiak, Zaborowska, et al., 2018). Variation in mitochondrial DNA (mtDNA) was targeted using a set of SNPs (N = 14) which had been discovered by Donnelly et al. (2017). A set of SNPs putatively associated with susceptibility to Dothistroma needle blight (discovered in Pinus radiata, ENA accession numbers ERS1034542-53) were also included (N = 185).\n","locations":["POLYGON((-14.932 34.883, -14.932 61.601, 17.984 61.601, 17.984 34.883, -14.932 34.883))"],"orcid":["https://orcid.org/0000-0003-2139-9236","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0002-7889-7597"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cbaa464a-ac18-42bf-8518-c746d8d97270","10.5285/cbaa464a-ac18-42bf-8518-c746d8d97270"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04g6bbq64","https://ror.org/04xw4m193"],"state":"published","title":"Scots pine single nucleotide polymorphisms (SNP) for Axiom array","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains  ~50,000 single nucleotide polymorphisms (SNPs, DNA mutations) for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex, which were selected for inclusion on a 50K SNP Axiom array"},{"publicationDate":"2024-06-17T00:00:00.000+00:00","authorAffiliation":["University of Bath"],"authorGivenName":["T."],"authorFamilyName":["Homan"],"authorFullName":["Homan, T."],"authorOrcid":["https://orcid.org/0009-0004-1664-2849"],"authorRor":["https://ror.org/002h8g185"],"catalogue":"eidc","description":"This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge readings at Environment Agency (EA) managed flow gauging stations and at sewage treatment work (STW) effluents. These measurements were taken between 12/08/2022 and 14/09/2022 inclusive. \n\nMeasurements were recorded at multiple river sites, boreholes, and STW effluents. All sites are contained within the catchment area between the Environment Agency gauging stations located at Dorchester and East Stoke i.e., the lower part of the River Frome. In total, 24 monitoring sites exist. \n\nThe data were collected for PhD project “Supporting river water-quality management by high-resolution modelling: a case study in a lowland permeable chalk catchment” awarded to Thomas Homan and funded under GW4 FRESH CDT, supported by the Natural Environment Research Council (Grant NE/R0115241). Water quality data were collected by Thomas Homan (PhD candidate at the University of Bath). Wessex Water Ltd. provided high frequency measurements of ammonium and discharge at their STW sites, borehole water quality measurements, as well as high-frequency nitrate measurements at sites: Louds Mill and East Stoke. The Environment Agency discharge data were provided under the terms of the Open Government Licence.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R011524/1"],"identifier":"ccaf2871-1a1a-4cb4-aadf-883fb984a90f","incomingCitationCount":0,"givenName":["T."],"familyName":["Homan"],"fullName":["Homan, T."],"keyword":["grab samples","River Frome","Dorset","Water quality","Environmental survey","chalk stream","river discharge","sensor","river flow"],"keywordsInstrument":["grab samples"],"keywordsPlace":["River Frome","Dorset"],"keywordsTheme":["Water quality","Environmental survey"],"keywordsOther":["chalk stream","river discharge","sensor","river flow"],"licence":"Non-Open government licence","lineage":"Data from four deployed YSI EXO2 sondes, provided as part of Meteor Communications Ltd.’s Water Quality as a Service (WQaaS), were downloaded from the MeteorCloud secure web portal. EXO3 sonde data were downloaded in the field from the sensor’s internal storage. Wessex Water Ltd. provided 30-minute NO3-N data, measured at Louds Mill and East Stoke using Hach Nitratax eco sc UV sensors (pathlength 5 mm, accuracy ± 5 %); grab sample results from their quality assured Scientific Centre; and high-frequency sewage effluent discharge data. Environment Agency (EA) hydrology data were downloaded from the online EA hydrology data explorer.\nAll data were collated into one dataset and data wrangling and cleaning were performed in R statistical programming software. Only outliers that could be explained were removed from the dataset. Grab samples were used to spot-check the quality of the continuous data. ","locations":["POLYGON((-2.457 50.668, -2.457 50.735, -2.16 50.735, -2.16 50.668, -2.457 50.668))"],"orcid":["https://orcid.org/0009-0004-1664-2849"],"organisation":["University of Bath","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ccaf2871-1a1a-4cb4-aadf-883fb984a90f","10.5285/ccaf2871-1a1a-4cb4-aadf-883fb984a90f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bath"],"ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"state":"published","title":"High-resolution water quality data from the River Frome catchment, Dorset, UK, August-September 2022","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge..."},{"publicationDate":"2021-03-30T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","The James Hutton Institute","The James Hutton Institute ","Durham University","University of Leicester","Bangor University","Department for Food, Environment and Rural Affairs","Durham University "],"authorGivenName":["R.","H.M.","A.","N.","M.","A.M.J.","S.","C.","J.","P.","S.E.","L.M.","F.","C.D."],"authorFamilyName":["Morrison","Cooper","Artz","Burden","Callaghan","Coyle","Cumming","Dixon","Helfter","Kaduk","Levy","McNamara","Oakley","Page","Rayment","Ridley","Worrall","Evans"],"authorFullName":["Morrison, R.","Cooper, H.M.","Artz, R.","Burden, A.","Callaghan, N.","Coyle, M.","Cumming, A.M.J.","Dixon, S.","Helfter, C.","Kaduk, J.","Levy, P.","McNamara, N.","Oakley, S.","Page, S.E.","Rayment, M.","Ridley, L.M.","Worrall, F.","Evans, C.D."],"authorOrcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-9440-6524","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-6801-6098","https://orcid.org/0000-0001-5773-4652","https://orcid.org/0000-0003-4051-3081","https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-3392-9241","https://orcid.org/0000-0003-3599-364X","https://orcid.org/0000-0002-4139-1330","https://orcid.org/0000-0002-7052-354X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains time series observations of land surface-atmosphere net ecosystem carbon dioxide exchange (NEE) and supporting micrometeorological observations collected at 13 peatland eddy covariance (EC) flux observation sites located across Wales, Scotland and England. Sites were active at different timescales between 2008 and 2020. The dataset represents a subset of the variables measured at each site. \n\nThe full range of variables monitored at each location can be accessed via EIDC records and/or by contacting the authors.\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":"b8c9fd3d-f9ea-4fd8-9557-9022884f711d","incomingCitationCount":1,"givenName":["R.","H.M.","A.","N.","M.","A.M.J.","S.","C.","J.","P.","S.E.","L.M.","F.","C.D.","Ross"],"familyName":["Morrison","Cooper","Artz","Burden","Callaghan","Coyle","Cumming","Dixon","Helfter","Kaduk","Levy","McNamara","Oakley","Page","Rayment","Ridley","Worrall","Evans"],"fullName":["Morrison, R.","Cooper, H.M.","Artz, R.","Burden, A.","Callaghan, N.","Coyle, M.","Cumming, A.M.J.","Dixon, S.","Helfter, C.","Kaduk, J.","Levy, P.","McNamara, N.","Oakley, S.","Page, S.E.","Rayment, M.","Ridley, L.M.","Worrall, F.","Evans, C.D."],"keyword":["UK-SCAPE","Soil","Environmental survey","Climate and climate change","Peatland","carbon dioxide","meteorology","peat"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Soil","Environmental survey","Climate and climate change"],"keywordsOther":["Peatland","carbon dioxide","meteorology","peat"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made using open- or closed-path eddy covariance systems.\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software.\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly.\nFurther details are available in the supporting documentation.","locations":["POLYGON((-7.682 49.864, -7.682 60.861, 1.768 60.861, 1.768 49.864, -7.682 49.864))"],"orcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-9440-6524","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-6801-6098","https://orcid.org/0000-0001-5773-4652","https://orcid.org/0000-0003-4051-3081","https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-3392-9241","https://orcid.org/0000-0003-3599-364X","https://orcid.org/0000-0002-4139-1330","https://orcid.org/0000-0002-7052-354X"],"organisation":["UK Centre for Ecology & Hydrology","The James Hutton Institute","The James Hutton Institute ","Durham University","University of Leicester","Bangor University","Department for Food, Environment and Rural Affairs","Durham University ","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8c9fd3d-f9ea-4fd8-9557-9022884f711d","10.5285/b8c9fd3d-f9ea-4fd8-9557-9022884f711d"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Net ecosystem carbon dioxide (CO2) exchange and meteorological observations collected at peatlands across Wales, Scotland and England, 2008-2020","topic":["0/Soil/","0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains time series observations of land surface-atmosphere net ecosystem carbon dioxide exchange (NEE) and supporting micrometeorological observations collected at 13 peatland eddy covariance (EC) flux observation sites located across Wales, Scotland..."},{"publicationDate":"2022-06-10T00:00:00.000+00:00","authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme"],"catalogue":"eidc","description":"This data resource provides plot-level plant occurrence data for the first seven years (2015-2021) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2021.\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.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"e742c94f-82a4-43e7-af14-36b131afe81b","incomingCitationCount":0,"fullName":["National Plant Monitoring Scheme"],"keyword":["Environmental survey","Biodiversity","National Plant Monitoring Scheme","NPMS","UK-SCAPE ","plant community","habitat","vegetation","environmental monitoring"],"keywordsTheme":["Environmental survey","Biodiversity"],"keywordsOther":["National Plant Monitoring Scheme","NPMS","UK-SCAPE ","plant community","habitat","vegetation","environmental monitoring"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system (www.indicia.org.uk) through the NPMS website (www.npms.org.uk) or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-9.087 49.086, -9.087 60.322, 1.329 60.322, 1.329 49.086, -9.087 49.086))"],"organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e742c94f-82a4-43e7-af14-36b131afe81b","10.5285/e742c94f-82a4-43e7-af14-36b131afe81b"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"National Plant Monitoring Scheme survey data (2015-2021)","topic":["0/Environmental survey/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first seven years (2015-2021) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat..."},{"publicationDate":"2021-08-30T00:00:00.000+00:00","authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme"],"catalogue":"eidc","description":"This data resource provides plot-level plant occurrence data for the first six years (2015-2020) of the National Plant Monitoring Scheme (NPMS, covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2020.\n\nThe NPMS is organised and funded by the UK Centre for Ecology & Hydrology, Botanical Society of Britain and Ireland, Plantlife and the Joint Nature Conservation Committee. This work partly supported through Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"f478ea82-a0e9-4778-955b-34c7ebfdd421","incomingCitationCount":0,"fullName":["National Plant Monitoring Scheme"],"keyword":["Environmental survey","National Plant Monitoring Scheme","NPMS","UK-SCAPE","vegetation","habitat","plant community","environmental monitoring"],"keywordsTheme":["Environmental survey"],"keywordsOther":["National Plant Monitoring Scheme","NPMS","UK-SCAPE","vegetation","habitat","plant community","environmental monitoring"],"licence":"Open government licence","lineage":"Data were collected directly from volunteers into a custom Indicia database system (www.indicia.org.uk) through the NPMS website (www.npms.org.uk) or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f478ea82-a0e9-4778-955b-34c7ebfdd421","10.5285/f478ea82-a0e9-4778-955b-34c7ebfdd421"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"National Plant Monitoring Scheme survey data (2015-2020)","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jualob"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first six years (2015-2020) of the National Plant Monitoring Scheme (NPMS, covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat..."},{"publicationDate":"2022-05-04T00:00:00.000+00:00","authorAffiliation":["Botanical Society of Britain and Ireland","UK Centre for Ecology & Hydrology"],"authorGivenName":["K.J.","O.L."],"authorFamilyName":["Walker","Pescott"],"authorFullName":["Walker, K.J.","Pescott, O.L."],"authorOrcid":["https://orcid.org/0000-0002-0685-8046"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Dataset contains lists of plant indicator species extracted from the JNCC Common Standards habitat monitoring guidance for the UK. The Common Standards Monitoring (CSM) approach was developed in order to standardise the monitoring of designated nature conservation sites. As well as extracting (and sometimes interpreting) the plant species noted in the CSM guidance documents, we provide links to CSM habitats, National Vegetation Classification communities, National Plant Monitoring Scheme (www.npms.org.uk) indicator species, and provide current taxonomic names in a lookup table.\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":"2c433c5b-8d15-49a7-aae7-b1f027d17e0e","incomingCitationCount":0,"givenName":["K.J.","O.L."],"familyName":["Walker","Pescott"],"fullName":["Walker, K.J.","Pescott, O.L.","Oliver L. Pescott"],"keyword":["Environmental survey","Biodiversity","Protected sites monitoring","Plants","Condition","surveillance","habitat"],"keywordsTheme":["Environmental survey","Biodiversity"],"keywordsOther":["Protected sites monitoring","Plants","Condition","surveillance","habitat"],"licence":"Open government licence","lineage":"Data were extracted from existing JNCC documentation by Kevin Walker. These were subjected to checks from habitat experts during the developing of the National Plant Monitoring Scheme (see e.g. Pescott et al. 2019; https://doi.org/10.1371/journal.pone.0215891). Species names were validated through automated look-ups to the BSBI database, following by manual checking, the results of which are included in this deposit.","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/0000-0002-0685-8046"],"organisation":["Botanical Society of Britain and Ireland","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2c433c5b-8d15-49a7-aae7-b1f027d17e0e","10.5285/2c433c5b-8d15-49a7-aae7-b1f027d17e0e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["National Plant Monitoring Scheme","Pescott OL, Walker KJ, Harris F, New H, Cheffings CM, Newton N, et al. (2019) The design, launch and assessment of a new volunteer-based plant monitoring scheme for the United Kingdom. PLoS ONE 14(4): e0215891."],"title":"Plant indicator species for JNCC Common Standards habitat monitoring, UK","topic":["0/Environmental survey/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Dataset contains lists of plant indicator species extracted from the JNCC Common Standards habitat monitoring guidance for the UK. The Common Standards Monitoring (CSM) approach was developed in order to standardise the monitoring of designated nature conservation sites...."},{"publicationDate":"2025-02-12T00:00:00.000+00:00","authorAffiliation":["University of Stirling","University of St Andrews"],"authorGivenName":["M.J.","H.L.","R.","D.M.","N.A.","R.S."],"authorFamilyName":["Ormsby","White","Metcalf","Oliver","Feasey","Quilliam"],"authorFullName":["Ormsby, M.J.","White, H.L.","Metcalf, R.","Oliver, D.M.","Feasey, N.A.","Quilliam, R.S."],"authorOrcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0003-4041-1405","https://orcid.org/0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/02wn5qz54"],"catalogue":"eidc","description":"This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of a peri-urban waste pile. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), bacterial concentration (CFU/ml), survival percentages, and regression parameters. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"9c3a1ae5-65d7-45c6-b6f3-1a955b17abff","incomingCitationCount":0,"givenName":["M.J.","H.L.","R.","D.M.","N.A.","R.S."],"familyName":["Ormsby","White","Metcalf","Oliver","Feasey","Quilliam"],"fullName":["Ormsby, M.J.","White, H.L.","Metcalf, R.","Oliver, D.M.","Feasey, N.A.","Quilliam, R.S."],"keyword":["Environmental risk","Biofilm","plastic waste","waste management","public health","environmental pollution"],"keywordsTheme":["Environmental risk"],"keywordsOther":["Biofilm","plastic waste","waste management","public health","environmental pollution"],"licence":"Open government licence","lineage":"Biofilm formation, persistence, pathogenicity, and die-off rates of Salmonella were investigated through controlled laboratory experiments. Biofilms were generated on various materials in nutrient-rich and surface water environments, quantified using crystal violet staining, and analysed in triplicate. Persistence was assessed by recovering Salmonella from biofilms over 28 days, followed by serial dilution, selective plating, and confirmatory PCR targeting the ttr gene.\n\nPathogenicity was evaluated using Galleria mellonella larvae, with standardised inoculation protocols and survival monitoring for 72 hours. Die-off rates were determined by log10 transformation of CFU counts and modelled using linear regression, with statistical analyses (ANOVA, Tukey post-hoc tests) to evaluate treatment effects. Data underwent thorough validation at each stage, including replication, selective media confirmation, and regression modelling, ensuring high reliability and accuracy before submission.\n","orcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0003-4041-1405","https://orcid.org/0000-0001-7020-4410"],"organisation":["University of Stirling","University of St Andrews","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff","10.5285/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"state":"published","title":"Survival and persistence of Salmonella spp. on waste plastic and glass under laboratory conditions simulant of a peri-urban waste pile","topic":["0/Environmental risk/"],"version":1.0,"view":["public","katwri"],"shortenedDescription":"This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of a peri-urban waste pile. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C),..."},{"publicationDate":"2017-12-20T00:00:00.000+00:00","authorAffiliation":["Imperial College London","University of Helsinki","Université Bourgogne Franche-Comté","University of Iceland"],"authorGivenName":["E.J.","S.I","Ó.B.","B."],"authorFamilyName":["O'Gorman","Robinson","McLaughlin","Marteinsdóttir"],"authorFullName":["O'Gorman, E.J.","Robinson, S.I.","McLaughlin, Ó.B.","Marteinsdóttir, B."],"authorOrcid":["http://orcid.org/0000-0003-4507-5690"],"authorRor":["https://ror.org/041kmwe10","https://ror.org/040af2s02","https://ror.org/02dn7x778","https://ror.org/01db6h964"],"catalogue":"eidc","description":"This is a dataset of environmental data, percentage vegetation cover, total invertebrate abundance, and mean invertebrate body mass, sampled at 96 soil habitat patches in the Hengill geothermal valley, Iceland, in July 2013. The habitat patches span a temperature gradient of 7-38 degrees C, yet they occur within 2 km of each other and have similar soil moisture, pH, total carbon, and total nitrogen. Effects of soil temperature on the structure and diversity of plant and invertebrate communities using this dataset are presented in Robinson et al. (2018), published in the Journal of Animal Ecology.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L011840/1"],"identifier":"0f074839-1630-4ccd-aa63-84d0da16b28a","incomingCitationCount":1,"givenName":["E.J.","S.I","Ó.B.","B."],"familyName":["O'Gorman","Robinson","McLaughlin","Marteinsdóttir"],"fullName":["O'Gorman, E.J.","Robinson, S.I.","McLaughlin, Ó.B.","Marteinsdóttir, B."],"keyword":["Hengill","Iceland","Climate and climate change","Environmental survey","Soil","Biodiversity"],"keywordsPlace":["Hengill","Iceland"],"keywordsTheme":["Climate and climate change","Environmental survey","Soil","Biodiversity"],"licence":"Open government licence","lineage":"Sampling was carried out in July 2013 in the Hengill geothermal valley, Iceland. GPS coordinates and the temperature, moisture, and pH of the soil at each habitat patch were recorded during the field expedition. Dried soil samples were shipped to the Forest Research Centre for Ecosystems, Society, and Biosecurity (Farnham, UK), where total carbon and total nitrogen were quantified. Photographs were taken of plant community quadrats during the expedition and percentage cover of each species was enumerated later. Invertebrate samples collected from pitfall trapping during the expedition were preserved in 70 percent ethanol, shipped to Queen Mary University of London, and later identified under a microscope in the laboratory.","locations":["POLYGON((-25.562 62.418, -25.562 67.591, -11.779 67.591, -11.779 62.418, -25.562 62.418))"],"orcid":["http://orcid.org/0000-0003-4507-5690"],"organisation":["Imperial College London","University of Helsinki","Université Bourgogne Franche-Comté","University of Iceland","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0f074839-1630-4ccd-aa63-84d0da16b28a","10.5285/0f074839-1630-4ccd-aa63-84d0da16b28a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Imperial College London"],"ror":["https://ror.org/041kmwe10","https://ror.org/040af2s02","https://ror.org/02dn7x778","https://ror.org/01db6h964","https://ror.org/04xw4m193"],"state":"published","title":"Invertebrate biomass, vegetation cover, and  environmental data from Hengill, Iceland","topic":["0/Climate and climate change/","0/Environmental survey/","0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","shar1"],"shortenedDescription":"This is a dataset of environmental data, percentage vegetation cover, total invertebrate abundance, and mean invertebrate body mass, sampled at 96 soil habitat patches in the Hengill geothermal valley, Iceland, in July 2013. The habitat patches span a temperature gradient..."},{"publicationDate":"2020-03-27T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorGivenName":["S.","W.","A."],"authorFamilyName":["Cavers","Wachowiak","Perry"],"authorFullName":["Cavers, S.","Wachowiak, W.","Perry, A."],"authorOrcid":["https://orcid.org/0000-0003-2139-9236","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0002-7889-7597"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04g6bbq64"],"catalogue":"eidc","description":"The dataset contains  genotypes for samples used to validate a 50K single nucleotide polymorphism (SNP, DNA mutation) Axiom array for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"7ee55609-d6b1-4693-8b36-2bf84fef76c2","incomingCitationCount":1,"givenName":["S.","W.","A.","Stephen"],"familyName":["Cavers","Wachowiak","Perry"],"fullName":["Cavers, S.","Wachowiak, W.","Perry, A."],"keyword":["Biodiversity","Environmental survey","Natural selection ","Speciation ","Divergence ","Polymorphism ","Genotyping ","SNPs","Population genomics ","Genomic ","Micoarray "],"keywordsTheme":["Biodiversity","Environmental survey"],"keywordsOther":["Natural selection ","Speciation ","Divergence ","Polymorphism ","Genotyping ","SNPs","Population genomics ","Genomic ","Micoarray "],"licence":"Open government licence","lineage":"Samples &  Validation of the array was carried out using a subset of 87 samples, which included four species of pine (Pinus sylvestris: SY; P. mugo: MU; P. uncinata: UN; P. uliginosa: UL). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1%  agarose gel.\n\n Genotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC 'high' ≥ 0.82; DQC 'low' < 0.82; CR 'high' ≥ 96; CR 'low' < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-18.359 37.192, -18.359 67.115, 24.839 67.115, 24.839 37.192, -18.359 37.192))"],"orcid":["https://orcid.org/0000-0003-2139-9236","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0002-7889-7597"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7ee55609-d6b1-4693-8b36-2bf84fef76c2","10.5285/7ee55609-d6b1-4693-8b36-2bf84fef76c2"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04g6bbq64","https://ror.org/04xw4m193"],"state":"published","title":"Scots pine single nucleotide polymorphism (SNP) genotypes for Axiom array validation","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The dataset contains  genotypes for samples used to validate a 50K single nucleotide polymorphism (SNP, DNA mutation) Axiom array for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex."},{"publicationDate":"2023-12-07T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Ecological Survey (Bangor)"],"authorGivenName":["S.","L.","M.","N.","E.","B.A.","R.A.","H.","P.A.","A.","P.","A.M.","I.","D.W.","M.G.","R.L.","S.M.","C.M.","D.A."],"authorFamilyName":["Reinsch","Bentley","Brentegani","Chetiu","Dhiedt","Emmett","Fitos","Garbutt","Guyatt","Henrys","Hunt","Keenan","Keith","Lebron","Mensah","Pallett","Pereira","Risser","Rowe","Salisbury","Scarlett","Smart","Tandy","Wagner","Wallace","Wood","Robinson"],"authorFullName":["Reinsch, S.","Bentley, L.","Brentegani, M.","Chetiu, N.","Dhiedt, E.","Emmett, B.A.","Fitos, E.","Garbutt, R.A.","Guyatt, H.","Henrys, P.A.","Hunt, A.","Keenan, P.","Keith, A.M.","Lebron, I.","Mensah, E.","Pallett, D.W.","Pereira, M.G.","Risser, H.","Rowe, R.L.","Salisbury, E.","Scarlett, P.","Smart, S.M.","Tandy, S.","Wagner, M.","Wallace, H.","Wood, C.M.","Robinson, D.A."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-5055-7673","https://orcid.org/0000-0003-2575-6800","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 110 x 1-km squares across Great Britain in 2022 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration. \n\nThe UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey.\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.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"d53fdf1d-767a-4046-821a-ea645001ddd3","incomingCitationCount":0,"givenName":["S.","L.","M.","N.","E.","B.A.","R.A.","H.","P.A.","A.","P.","A.M.","I.","D.W.","M.G.","R.L.","S.M.","C.M.","D.A."],"familyName":["Reinsch","Bentley","Brentegani","Chetiu","Dhiedt","Emmett","Fitos","Garbutt","Guyatt","Henrys","Hunt","Keenan","Keith","Lebron","Mensah","Pallett","Pereira","Risser","Rowe","Salisbury","Scarlett","Smart","Tandy","Wagner","Wallace","Wood","Robinson"],"fullName":["Reinsch, S.","Bentley, L.","Brentegani, M.","Chetiu, N.","Dhiedt, E.","Emmett, B.A.","Fitos, E.","Garbutt, R.A.","Guyatt, H.","Henrys, P.A.","Hunt, A.","Keenan, P.","Keith, A.M.","Lebron, I.","Mensah, E.","Pallett, D.W.","Pereira, M.G.","Risser, H.","Rowe, R.L.","Salisbury, E.","Scarlett, P.","Smart, S.M.","Tandy, S.","Wagner, M.","Wallace, H.","Wood, C.M.","Robinson, D.A."],"keyword":["Environmental survey","Soil","derived carbon concentration","electrical conductivity","fine earth volumetric water content","Great Britain","Olsen-phosphorous","SOC","soil bulk density of fine earth","soil nitrogen","soil organic matter","soil pH","total soil organic carbon","UK-SCAPE"],"keywordsTheme":["Environmental survey","Soil"],"keywordsOther":["derived carbon concentration","electrical conductivity","fine earth volumetric water content","Great Britain","Olsen-phosphorous","SOC","soil bulk density of fine earth","soil nitrogen","soil organic matter","soil pH","total soil organic carbon","UK-SCAPE"],"licence":"Open government licence","lineage":"Within each of 110 x 1km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15 cm long, from a location co-incident with vegetation surveys. \n \nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis. \n","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/0000-0003-4649-0677","https://orcid.org/0000-0001-5055-7673","https://orcid.org/0000-0003-2575-6800","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","Ecological Survey (Bangor)","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d53fdf1d-767a-4046-821a-ea645001ddd3","10.5285/d53fdf1d-767a-4046-821a-ea645001ddd3"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2022","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 110 x 1-km squares across Great Britain in 2022 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties..."},{"publicationDate":"2019-07-24T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen"],"authorGivenName":["N."],"authorFamilyName":["Fitton"],"authorFullName":["Fitton, N."],"authorOrcid":["https://orcid.org/0000-0001-7386-0472"],"authorRor":["https://ror.org/016476m91"],"catalogue":"eidc","description":"Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on cropland availability in 2050. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M021327/1"],"identifier":"1011037f-4f41-41db-ac7a-0d8e9b8bc933","incomingCitationCount":0,"givenName":["Nuala","N."],"familyName":["Fitton"],"fullName":["Fitton, N."],"keyword":["Agriculture","Climate and climate change","Environmental risk","Hydrology","water scarcity","drought","arable farming"],"keywordsTheme":["Agriculture","Climate and climate change","Environmental risk","Hydrology"],"keywordsOther":["water scarcity","drought","arable farming"],"licence":"Open government licence","lineage":"Global maps, of the change in annual runoff (%) and water scarcity (index value between 1 to 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from 5 different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading). \n\nGlobal maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0001-7386-0472"],"organisation":["University of Aberdeen","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1011037f-4f41-41db-ac7a-0d8e9b8bc933","10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"state":"published","title":"Projections of water scarcity in croplands, 2050","topic":["0/Agriculture/","0/Climate and climate change/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","shar1"],"shortenedDescription":"Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. 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