{"numFound":162,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=funder%7CRadioactive+Waste+Management+Ltd&facet=topic%7C0%2FRadioecology%2F&facet=topic%7C0%2FEnvironmental+risk%2F&facet=funder%7CNatural+Environment+Research+Council&facet=resourceStatus%7CAvailable&facet=funder%7CEnvironment+Agency&facet=topic%7C0%2FEnvironmental+survey%2F","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=funder%7CRadioactive+Waste+Management+Ltd&facet=topic%7C0%2FRadioecology%2F&facet=topic%7C0%2FEnvironmental+risk%2F&facet=funder%7CNatural+Environment+Research+Council&facet=resourceStatus%7CAvailable&facet=funder%7CEnvironment+Agency&facet=topic%7C0%2FEnvironmental+survey%2F","results":[{"publicationDate":"2025-04-08T00:00:00.000+00:00","authorAffiliation":["UKCEH","Chornobyl Center for Nuclear Safety","University of Salford"],"authorGivenName":["C.L.","S.","C.","M.D.","N.A."],"authorFamilyName":["Barnett","Gashchak","Wells","Wood","Beresford"],"authorFullName":["Barnett, C.L.","Gashchak, S.","Wells, C.","Wood, M.D.","Beresford, N.A."],"authorOrcid":["https://orcid.org/0000-0001-9723-7247","https://orcid.org/0000-0002-7582-6742","https://orcid.org/0000-0002-0635-2387","https://orcid.org/0000-0002-8722-0238"],"catalogue":"eidc","description":"Data comprise site location, soil chemistry information (pH, soil moisture, Loss on Ignition (LOI)), an estimate of ground burn extent and soil biological activity (derived from application of bait lamina sticks) at 23 sites in the Chornobyl Exclusion Zone (CEZ), Ukraine in September 2016, March 2017 and September 2017; there were three replicate plots at each site. The estimated ambient dose rate at each plot is also provided. The primary purpose of these data was to enable an evaluation of the potential impact of wildfire on soil organisms. The work was carried out by UKCEH, Chornobyl Centre for Nuclear Safety and the University of Salford. Funding for this work was via the NERC REDFIRE project (NE/P015212/).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P015212/1"],"identifier":"7833bdf5-3e85-44d3-8e7d-c9bf0632e38b","incomingCitationCount":0,"givenName":["C.L.","S.","C.","M.D.","N.A."],"familyName":["Barnett","Gashchak","Wells","Wood","Beresford"],"fullName":["Catherine Barnett","Barnett, C.L.","Gashchak, S.","Wells, C.","Wood, M.D.","Beresford, N.A."],"keyword":["Biodiversity","Radioecology","Environmental risk","Pollution","Soil","Annelid","Chornobyl","Chernobyl","Detritivore"],"keywordsTheme":["Biodiversity","Radioecology","Environmental risk","Pollution","Soil"],"keywordsOther":["Annelid","Chornobyl","Chernobyl","Detritivore"],"licence":"Open government licence","lineage":"Bait lamina sticks were inserted into the soil at each of the replicate plots and left in place for 18 days in September 2016, 41-44 days in March 2017 and 55-58 days in September 2017. Following removal the sticks were gently wiped clean and assessed for evidence of soil invertebrate feeding; the observations were recorded into MSExcel files by two members of UKCEH staff (reader 1 and reader 2). Soil was sampled at each plot on multiple occasions and the pH was determined in September 2016 and September 2017, soil dry matter (DM) was determined in September 2016, March 2017 and September 2017 and soil Loss on Ignition (LOI) was determined in September 2016 and September 2017; all soil chemistry data were directly input to MSExcel files. The estimated ambient dose rate (µSv per hour) at each plot was measured in September 2016 and March 2017 and the site and plot field notes were recorded in September 2016. All field data were and transposed to MSExcel files by Chornobyl Center staff and supplied to UKCEH. All data were supplied to EIDC as csv files.\n","locations":["POLYGON((29.152 51.024, 29.152 51.951, 30.679 51.951, 30.679 51.024, 29.152 51.024))"],"orcid":["https://orcid.org/0000-0001-9723-7247","https://orcid.org/0000-0002-7582-6742","https://orcid.org/0000-0002-0635-2387","https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","UKCEH","Chornobyl Center for Nuclear Safety","University of Salford","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7833bdf5-3e85-44d3-8e7d-c9bf0632e38b","10.5285/7833bdf5-3e85-44d3-8e7d-c9bf0632e38b"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UKCEH"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Soil biological activity in the Chornobyl Exclusion Zone, Ukraine in September 2016, March 2017 and September 2017 following a severe wildfire in July 2016","topic":["0/Biodiversity/","0/Radioecology/","0/Environmental risk/","0/Pollution/","0/Soil/"],"version":1.0,"view":["public","katwri"],"shortenedDescription":"Data comprise site location, soil chemistry information (pH, soil moisture, Loss on Ignition (LOI)), an estimate of ground burn extent and soil biological activity (derived from application of bait lamina sticks) at 23 sites in the Chornobyl Exclusion Zone (CEZ), Ukraine..."},{"publicationDate":"2024-08-09T00:00:00.000+00:00","authorAffiliation":["University of Stirling"],"authorGivenName":["R.","L.","H.L.","M.","S."],"authorFamilyName":["Metcalf","Messer","White","Ormsby","Matallana-Surget","Quilliam"],"authorFullName":["Metcalf, R.","Messer, L.","White, H.L.","Ormsby, M.","Matallana-Surget, S.","Quilliam, R."],"authorOrcid":["https://orcid.org/0000-0002-1463-427X","https://orcid.org/0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"catalogue":"eidc","description":"This dataset holds realistic environmental concentrations of potential pathogens colonising microplastic beads (nurdles) collected from ten Scottish beaches. Observed measures include concentrations and the present genes of Klebsiella bacteria isolated from the nurdles, as well as the salinity, electrical conductivity, turbidity, and polymer composition of the nurdles. \n\nIn addition, an infection experiment was conducted to measure the virulence of the Klebsiella bacteria. Galleria melonella larvae were infected with the isolated Klebsiella bacteria and the number of living larvae was recorded. \n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S005196/1","NE/V005847/1"],"identifier":"fdd72810-a57f-444f-83cf-f2351ef4c940","incomingCitationCount":0,"givenName":["R.","L.","H.L.","M.","S."],"familyName":["Metcalf","Messer","White","Ormsby","Matallana-Surget","Quilliam"],"fullName":["Metcalf, R.","Messer, L.","White, H.L.","Ormsby, M.","Matallana-Surget, S.","Quilliam, R."],"keyword":["Environmental survey","Pollution","public health","plastic pollution","human pathogens","plastisphere","antimicrobial resistance","virulence"],"keywordsTheme":["Environmental survey","Pollution"],"keywordsOther":["public health","plastic pollution","human pathogens","plastisphere","antimicrobial resistance","virulence"],"licence":"Open government licence","lineage":"Microplastic beads were collected from ten Scottish beaches (Erskine, Yellowcraig, Largs, Irvine, Ayr, Turnberry, Montrose, Broughty Ferry, Portobello and Eyemouth) and bacteria were removed for quantification of target bacteria. Bacteria were quantified using selective media and positive colony-forming units (CFU) were enumerated. \n\nWater temperature and salinity at each site were also measured with a thermometer and a salinity refractometer (RGBS).\n\nFourier Transform Infrared Spectrometry (FTIR) was conducted on a Thermo Scientific Nicolet is50 FTIR to identify the polymer composition of the nurdles.\n\nThe virulence of the isolated Klebsiella was studied for one of the sites, Brought Ferry. Galleria mellonella model of infection was used to determine the virulence of each of the selected Klebsiella strains following their isolation from the microplastic beads and sand. After injection, larvae were incubated at and inspected 24, 48 and 72 h post-injection; larvae were considered dead when they did not respond to touch stimuli.\n","locations":["POLYGON((-7.796 54.677, -7.796 58.005, -1.081 58.005, -1.081 54.677, -7.796 54.677))"],"orcid":["https://orcid.org/0000-0002-1463-427X","https://orcid.org/0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fdd72810-a57f-444f-83cf-f2351ef4c940","10.5285/fdd72810-a57f-444f-83cf-f2351ef4c940"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Related omic data is stored on the National Center for Biotechnology Information"],"title":"Nurdle characteristics with associated bacterial concentrations and virulence of Klebsiella isolates from Scottish beaches, 2022","topic":["0/Environmental survey/","0/Pollution/"],"version":1.0,"view":["public","elsdhi"],"shortenedDescription":"This dataset holds realistic environmental concentrations of potential pathogens colonising microplastic beads (nurdles) collected from ten Scottish beaches. Observed measures include concentrations and the present genes of Klebsiella bacteria isolated from the nurdles,..."},{"publicationDate":"2019-09-30T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen","Sun Yat-Sen University","University of Manchester","The James Hutton Institute","University of Salford","University of York","The University of Hong Kong"],"authorGivenName":["David","X.","D.","A.","J.","T.","Y.","M."],"authorFamilyName":["Burslem","Liu","Johnson","Taylor","Helgason","Chen","Liang"],"authorFullName":["Burslem, D.","Liu, X.","Johnson, D.","Taylor, A.","Taylor, J.","Helgason, T.","Chen, Y.","Liang, M."],"authorOrcid":["https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-4705-0975"],"authorRor":["https://ror.org/016476m91","https://ror.org/0064kty71","https://ror.org/027m9bs27","https://ror.org/03rzp5127","https://ror.org/01tmqtf75","https://ror.org/04m01e293","https://ror.org/02zhqgq86"],"catalogue":"eidc","description":"This dataset reports metrics of plant growth, including height, total biomass and the biomass of component plant parts, and percentage root colonisation by mycorrhizas, for tree seedlings of eight tropical and seven subtropical growing in pots of soil that had been amended by addition of various sources of phosphorus (inorganic phosphate, adenosine monophosphate, phytic, or a mixture of all three) plus an unfertilized control treatment with no P additions. The aim of the experiment was to test the hypothesis that seedlings of species that associate with different types of root-inhabiting mycorrhizal fungi would respond differently to the range of P sources applied in the experiment. \n\nThe experiments were conducted as part of a NERC Discovery Science project with the title Explaining niche separation in tropical forests: feedbacks from root-fungal symbioses and soil phosphorus partitioning led by Professor David Burslem (University of Aberdeen) reference NE/M004848/1.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M004864/1"],"identifier":"3ad644c9-e341-4a15-ab35-311076defc33","incomingCitationCount":1,"givenName":["David","X.","D.","A.","J.","T.","Y.","M."],"familyName":["Burslem","Liu","Johnson","Taylor","Helgason","Chen","Liang"],"fullName":["Burslem, D.","Liu, X.","Johnson, D.","Taylor, A.","Taylor, J.","Helgason, T.","Chen, Y.","Liang, M."],"keyword":["Environmental risk","Soil","phosphorus","tree biomass","mycorrhiza"],"keywordsTheme":["Environmental risk","Soil"],"keywordsOther":["phosphorus","tree biomass","mycorrhiza"],"licence":"Open government licence","lineage":"The experiments were conducted by Xubing Liu with input from all authors. Data quality checks were conducted by all authors. The data-set provides raw data on growth metrics for each seedling, plus identifying codes for the two sites where the experiment was conducted, reflecting the tropical and subtropical origin of the seedlings, as well as experimental block, P treatment, botanical names for the tree species, and mycorrhizal type. Full details of materials and methods are provided in the paper reporting the results of the study (doi: 10.1111/ele.12939).","locations":["POLYGON((111.53 5, 111.53 23.27, 117.57 23.27, 117.57 5, 111.53 5))"],"orcid":["https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-4705-0975"],"organisation":["University of Aberdeen","Sun Yat-Sen University","University of Manchester","The James Hutton Institute","University of Salford","University of York","The University of Hong Kong","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ad644c9-e341-4a15-ab35-311076defc33","10.5285/3ad644c9-e341-4a15-ab35-311076defc33"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/0064kty71","https://ror.org/027m9bs27","https://ror.org/03rzp5127","https://ror.org/01tmqtf75","https://ror.org/04m01e293","https://ror.org/02zhqgq86","https://ror.org/04xw4m193"],"state":"published","title":"Growth, biomass allocation and tissue nutrient concentrations of subtropical and tropical tree seedlings in response to experimental manipulation of soil phosphorus pools","topic":["0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset reports metrics of plant growth, including height, total biomass and the biomass of component plant parts, and percentage root colonisation by mycorrhizas, for tree seedlings of eight tropical and seven subtropical growing in pots of soil that had been..."},{"publicationDate":"2022-06-10T00:00:00.000+00:00","authorAffiliation":["University of Liverpool"],"authorGivenName":["F.S. ","A.","S.","N.","D.E.","I.W.","D.A.","S.J."],"authorFamilyName":["Brunner","Reynolds","Price","White","Sadler","Wilson","Atkinson","Paterson","Plaistow"],"authorFullName":["Brunner, F.S.","Reynolds, A.","Price, S.","White, N.","Sadler, D.E.","Wilson, I.W.","Atkinson, D.A.","Paterson, S.","Plaistow, S.J."],"authorOrcid":["https://orcid.org/0000-0002-6571-6945","https://orcid.org/0000-0001-5800-4715","https://orcid.org/0000-0001-9715-3270","https://orcid.org/0000-0002-9956-2454","https://orcid.org/0000-0002-1307-2981","https://orcid.org/0000-0002-9003-6271"],"catalogue":"eidc","description":"This dataset contains information about hourly temperature variation, phenotypic and genetic change, and change in environmental parameters in a two-year mesocosm study designed to tease apart the impact that phenotypic plasticity and genetic diversity have on rate of adaptation to experimental heatwaves. All data were collected between 2017 and 2019. Thermal data was collected continuously using data loggers. The frequency of natural heatwaves was manipulated using a programmable aquatic mesocosm facility using data collected from real heatwaves from 2006. Phenotypic evolution was tracked using intermittent common garden life-history studies while changes in clone frequency were determined using microsatellite markers to track changes in clone frequency in manipulated populations over two years. Experimental data on zooplankton community dynamics were monitored using intermittent depth integrated sampling of communities in each mesocosm over two years. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/N016017/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N016017/1"],"identifier":"2ae5e8d3-be36-4517-b80c-c6b91792b769","incomingCitationCount":0,"givenName":["F.S. ","A.","S.","N.","D.E.","I.W.","D.A.","S.J.","Stewart"],"familyName":["Brunner","Reynolds","Price","White","Sadler","Wilson","Atkinson","Paterson","Plaistow"],"fullName":["Brunner, F.S.","Reynolds, A.","Price, S.","White, N.","Sadler, D.E.","Wilson, I.W.","Atkinson, D.A.","Paterson, S.","Plaistow, S.J.","Plaistow, S."],"keyword":["Environmental risk","Daphnia magna","Phenotypic plasticity","clonal diversity","Experimental evolution","Fitness traits","Mesocosms","Freshwater ecology","Heatwaves","eutrophication","freshwater"],"keywordsTheme":["Environmental risk"],"keywordsOther":["Daphnia magna","Phenotypic plasticity","clonal diversity","Experimental evolution","Fitness traits","Mesocosms","Freshwater ecology","Heatwaves","eutrophication","freshwater"],"licence":"Open government licence","lineage":"Daphnia magna clones used in the experiment were isolated from Brown Moss in Shropshire (52°57'01\"N 2°39'05\"W) and Lake Ring in Denmark (55°57′51.83″N, 9°35′46.87″E) as hatched resting eggs. How plastic each clone is was assayed by rearing clones in common garden studies using four different environments.\n\nForty-two mesocosms with different numbers of plastic and non-plastic Daphnia magna clones were established at Ness botanic gardens (53°16'20\"N 3°02'34\"W).\n\nHeatwave induction and hourly temperature data were managed using heating elements and temperature sensors at 50cm depth connected to Campbell Scientific CR6 Wi-Fi data loggers connected to a virtual server.\nEnvironmental parameter data were collected using hand-held meters every 2-weeks. Water chemistry data were collected every 3-months between 2017-2019 and analysed using a spectrophotometer (see supporting doc for details).\n\nThe life-history and thermal tolerance of D. magna in mesocosms was assayed 5 times a year before and after heatwaves (September 2017 March 2018, June 2018, August 2018, and October 2018) by sampling animals from each mesocosm and rearing an offspring in common garden study.\n\nClone-frequency changes were monitored in a subset of mesocosms at 8 timepoints between 2017-2019 using four microsatellite markers.\n\nCommunity dynamics in each mesocosm were assessed at 8-timepoints between 2017-2019 using depth integrated samples from four locations across a mesocosm for a total of 10L of water, which was then filtered through 100 micromitre sieves and stored in 15% glycerol at 20 oC prior to counting.\n\nAll data were checked, verified and processed for analysis.","locations":["POLYGON((-3.049 53.268, -3.049 53.275, -3.041 53.275, -3.041 53.268, -3.049 53.268))"],"orcid":["https://orcid.org/0000-0002-6571-6945","https://orcid.org/0000-0001-5800-4715","https://orcid.org/0000-0001-9715-3270","https://orcid.org/0000-0002-9956-2454","https://orcid.org/0000-0002-1307-2981","https://orcid.org/0000-0002-9003-6271"],"organisation":["University of Liverpool","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ae5e8d3-be36-4517-b80c-c6b91792b769","10.5285/2ae5e8d3-be36-4517-b80c-c6b91792b769"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Liverpool"],"ror":["https://ror.org/04xw4m193","https://ror.org/04xs57h96"],"state":"published","title":"Hourly temperature, environmental parameter and Daphnia magna phenotypic and genetic change in mesocosms with manipulated experimental parameters, 2017-2019","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains information about hourly temperature variation, phenotypic and genetic change, and change in environmental parameters in a two-year mesocosm study designed to tease apart the impact that phenotypic plasticity and genetic diversity have on rate..."},{"publicationDate":"2020-01-09T00:00:00.000+00:00","authorAffiliation":["University of Cambridge"],"authorGivenName":["L.","D.A."],"authorFamilyName":["Bentley","Coomes"],"authorFullName":["Bentley, L.","Coomes, D.A."],"authorOrcid":["https://orcid.org/0000-0001-5055-7673","https://orcid.org/0000-0002-8261-2582"],"authorRor":["https://ror.org/013meh722"],"catalogue":"eidc","description":"This dataset reports the responses of annual river flow to forestation in 43 catchments and contains 770 data points. Data shows the change in river flow following forestation at annual time scales, along control river flow measurements and associated metadata from primary and secondary sources. Data collection, processing and interpretation were performed by Laura Bentley and David A. Coomes between January 2018 and October 2019. \n\n Forestation was defined as a change in land cover from a stable, non-forested state to a forested one, independent of the long-term history of forest cover. Paired measurements of annual river flow following forestation (mm) and river flow under control land cover conditions (mm) are provided for each year that the catchment dataset satisfied our inclusion criteria. River flow response is provided as both an absolute difference (mm) and as a percentage of control flow in the same year. Estimates of catchment annual precipitation, annual potential evapotranspiration, forest age, forest area, and the year of study are provided for each river flow response data point. Metadata are provided concerning catchment land cover history, land use history, catchment area, forest type, average climate and the method of forest establishment. The dataset contains catchments that were planted with trees and catchments in which forest cover regenerated without planting. Historical forest cover was reported in some catchments, and not reported in others. The 43 catchments a distributed unevenly across the globe, in 13 countries. The length of time series for each catchment varies from 2 years to 57 years, with and average duration of 19 years. \n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"5baa5d91-d552-4fc6-8a8c-29ae45192d77","incomingCitationCount":1,"givenName":["L.","D.A.","Laura"],"familyName":["Bentley","Coomes"],"fullName":["Bentley, L.","Coomes, D.A."],"keyword":["Environmental survey","River flow"],"keywordsTheme":["Environmental survey"],"keywordsOther":["River flow"],"licence":"Open government licence","lineage":"The database was generated through a systematic search of published literature, conducted via Web of Science (1900-4th January 2018). Data was extracted from single and paired catchment studies identified in our search and from papers reviewed by Farley, Jobbágy, & Jackson (2005). \n\nCorrections were applied to control river flow values, based on linear regression, where extracted data had not been corrected for differences in climate and/or catchment between the two raw river flow data sets. Any single catchment studies that used a mechanistic catchment model to predict river flow had to report validation analyses for that model for the study to be incorporated. Studies were not included if treatments were a combination of deforestation and forestation, or if the study was a retrospective investigation of a known decrease in river flow.\n\nControl river flow, treatment river flow, and river flow response to forestation (treatment minus control) are reported in millimetres. River flow response is also reported as a percentage of control river flow in the same year. Additional climate data was extracted from CRU TS4.3 (Harris, Jones, Osborn, & Lister, 2014) using the location and extent of the experimental catchment and are reported in millimetres. The age of the established forest (years) was calculated as an area weighted mean. Where the change in forest area was not reported between two years of known forest area, the rate of expansion was assumed constant. Change in forest area is reported as a cumulative percentage of catchment area for each time series. All other variables are defined in the associated metadata. Some data sources did not report all information required by categorical data fields, and this is indicated by ‘NR’ (not reported). Where river flow and climatic data were reported graphically, these were extracted using PlotDigitizer (Huwaldt, 2015). River flow and precipitation measurements reported at a greater than annual frequency were aggregated to annual time scales prior to entry into the dataset.\nFor further detail regarding the production of this data set, please refer to Bentley, L. & Coomes, D. (2020) Partial river flow recovery with forest age is rare in the decades following establishment Global Change Biology. DOI 10.1111/gcb.14954.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0001-5055-7673","https://orcid.org/0000-0002-8261-2582"],"organisation":["University of Cambridge","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5baa5d91-d552-4fc6-8a8c-29ae45192d77","10.5285/5baa5d91-d552-4fc6-8a8c-29ae45192d77"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Farley, K. A., Jobbágy, E. G., & Jackson, R. B. (2005). Effects of afforestation on water yield: A global synthesis with implications for policy. Global Change Biology, 11(10), 1565-1576. ","Harris, I., Jones, P. D., Osborn, T. J., & Lister, D. H. (2014). Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset. International Journal of Climatology, 34(3), 623-642. ","Huwaldt, J. A. (2015). Plot Digitizer "],"title":"Derived global responses of annual river flow to catchment forestation through time, between 1900 and 2018","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset reports the responses of annual river flow to forestation in 43 catchments and contains 770 data points. Data shows the change in river flow following forestation at annual time scales, along control river flow measurements and associated metadata from..."},{"publicationDate":"2020-10-01T00:00:00.000+00:00","authorAffiliation":["Instituto de Geociências, Universidade de São Paulo, São Paulo","University of Leicester","Instituto Nacional de Pesquisas Da Amazônia (INPA), Coordenação de Dinâmica Ambiental (CODAM)","University of Leeds"],"authorGivenName":["B.","A.","J.","E.","R."],"authorFamilyName":["Cintra","Boom","Schöngart","Gloor","Brienen"],"authorFullName":["Cintra, B.","Boom, A.","Schöngart, J.","Gloor, E.","Brienen, R."],"authorOrcid":["https://orcid.org/0000-0002-5397-5755"],"catalogue":"eidc","description":"The data consist of tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data of Macrolobium acaciifolium and Cedrela odorata from five sites in the Amazon basin, including Pacaya (Peru) and Maranon (Peru), Leticia (Colombia), Manuripi (Bolivia) and Riberalta (Bolivia).\n\nAll sample preparation (i.e., cutting ring sections, cellulose extraction, weighing and packing) was done at the University of Leeds, and all isotope ratio measurements were done at Stable Isotope Laboratory at the University of Leicester.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"a5a862da-8db2-4881-9046-610c8573b499","incomingCitationCount":0,"givenName":["B.","A.","J.","E.","R.","Roel"],"familyName":["Cintra","Boom","Schöngart","Gloor","Brienen"],"fullName":["Cintra, B.","Boom, A.","Schöngart, J.","Gloor, E.","Brienen, R."],"keyword":["Environmental survey","Hydrology","Amazon Basin","Tree rings","Stable isotopes","Macrolobium acaciifolium","Cedrela odorata","Cigar-box wood"],"keywordsTheme":["Environmental survey","Hydrology"],"keywordsOther":["Amazon Basin","Tree rings","Stable isotopes","Macrolobium acaciifolium","Cedrela odorata","Cigar-box wood"],"licence":"Open government licence","lineage":"All sample preparation (i.e., cutting ring sections, cellulose extraction, weighing and packing) was done at the University of Leeds, and all isotope ratio measurements were done at Stable Isotope Laboratory at the University of Leicester. Cellulose was extracted directly from wood cross-sectional slices following the procedure of Kagawa et al. (2015): cross-sectional slices of 1-4mm thickness and 6-8 cm length were cut from the core samples with a circular diamond saw blade and packed in TEFLON perforated sheets. Cellulose was extracted from the raw wood material following the chemical procedure of Wieloch et al. (2011).","locations":["POLYGON((-77.648 -18.247, -77.648 -7.89, -63.507 -7.89, -63.507 -18.247, -77.648 -18.247))"],"orcid":["https://orcid.org/0000-0002-5397-5755"],"organisation":["Instituto de Geociências, Universidade de São Paulo, São Paulo","University of Leicester","Instituto Nacional de Pesquisas Da Amazônia (INPA), Coordenação de Dinâmica Ambiental (CODAM)","University of Leeds","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5a862da-8db2-4881-9046-610c8573b499","10.5285/a5a862da-8db2-4881-9046-610c8573b499"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"state":"published","supplementalDescription":["Kagawa, A., Sano, M., Nakatsuka, T., Ikeda, T. and Kubo, S., 2015. An optimized method for stable isotope analysis of tree rings by extracting cellulose directly from cross-sectional laths. Chemical Geology, 393, pp.16-25.\n","Wieloch, T., Helle, G., Heinrich, I., Voigt, M. and Schyma, P., 2011. A novel device for batch-wise isolation of α-cellulose from small-amount wholewood samples. Dendrochronologia, 29(2), pp.115-117."],"title":"Amazon tree ring isotope records of Macrolobium acaciifolium and Cedrela odorata","topic":["0/Environmental survey/","0/Hydrology/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The data consist of tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data of Macrolobium acaciifolium and Cedrela odorata from five sites in the Amazon basin, including Pacaya (Peru) and Maranon (Peru), Leticia (Colombia), Manuripi (Bolivia) and Riberalta (Bolivia).\n\nAll..."},{"publicationDate":"2025-05-09T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["Heidrun","B.A.","H.","A.G.","K.","G.","S."],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if