{"numFound":2065,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=recordType%7CDataset","results":[{"catalogue":"eidc","description":"This dataset consists of farm management data which includes crop drilling dates and herbicide application dates. The data relate to arable fields in which a range of ecological measurements were collected, including species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. Each field was sown with a combination of genetically modified and conventional crops, either Beet, Maize, Spring-sown Oilseed Rape or Winter-sown oilseed Rape. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology, ITE (now the Centre for Ecology & Hydrology, CEH), the Institute of Arable Crop Research (now Rothamstead Research, IACR) and the Scottish Crop Research Institute, SCRI (now the James Hutton Institute, JHI). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape).","documentType":"GEMINI_DOCUMENT","identifier":"a5093d15-be48-48de-b8fd-41f573cf2b10","incomingCitationCount":0,"keyword":["Britain","Agriculture","weeds","arable","seedbank","invertebrates","functional groups","genetically modified herbicide-tolerant crops","sugar beet","maize","oilseed rape","trophic interactions","soil","vegetation","environmental impact","crops"],"keywordsPlace":["Britain"],"keywordsTheme":["Agriculture"],"keywordsOther":["weeds","arable","seedbank","invertebrates","functional groups","genetically modified herbicide-tolerant crops","sugar beet","maize","oilseed rape","trophic interactions","soil","vegetation","environmental impact","crops"],"licence":"Non-Open government licence","lineage":"Data were collected by a consortium of: the Institute of Terrestrial Ecology, ITE (now the Centre for Ecology & Hydrology, CEH), the Institute of Arable Crop Research (now Rothamsted Research, IACR) and the Scottish Crop Research Institute,SCRI. Data were collected for the four crops (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape) in the following areas: seedbank, vegetation in the crop, field edge vegetation, invertebrates.  Strict data entry and storage controls, data management controls and data analysis protocols were in place during the project. Key references: The Farm Scale Evaluations of spring-sown genetically modified crops.  Papers of a Theme Issue.  Philosphical Transactions of the Royal Society of London, Series B, Vol. 358, Number 1439, 29th November 2003. Effects on weed and invertebrate abundance and diversity of herbicide management in genetically modified herbicide-tolerant winter-sown oilseed rape, Bohan et al., Proc. R. Soc. B March 7, 2005 272:463-474","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1302688296538","https://catalogue.ceh.ac.uk/id/a5093d15-be48-48de-b8fd-41f573cf2b10"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The Farm Scale Evaluations of spring-sown genetically modified crops: Phil. Trans Royal Soc., November 29, 2003; 358 (1439)"],"supplementalName":["Archived version of DEFRA Farm-scale Evaluations website.  Background information."],"title":"Farm scale evaluations of herbicide tolerant genetically modified crops - farm management data","topic":["0/Agriculture/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"This dataset consists of farm management data which includes crop drilling dates and herbicide application dates. The data relate to arable fields in which a range of ecological measurements were collected, including species counts in the following areas: weed seedbank,..."},{"publicationDate":"2018-11-06T00:00:00.000+00:00","altTitle":["Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project","Ecosystem Services for Poverty Alleviation (ESPA) programme"],"authorAffiliation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh"],"authorGivenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"authorFamilyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"authorFullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"authorOrcid":["https://orcid.org/0000-0002-5019-1015","https://orcid.org/0000-0002-5119-5894","https://orcid.org/0000-0001-7552-7470"],"authorRor":["https://ror.org/02srvn192","https://ror.org/01nrxwf90"],"catalogue":"eidc","description":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood, wood for charcoal production, etc.) and their causes (e.g. change in land use) in rural Mozambique.\n\nInformation was gathered at 20 workshops held in Maputo, Xai Xai, Lichinga, Quelimane, and at village level in the districts of Mabalane, Marrupa and Gurue in 2014 and 2015. The objective of the workshops was to examine aspects that influence well-being and their causes in the miombo woodland area of rural Mozambique. One of the objectives of the project was to construct Bayesian belief networks (BBNs) to model future land use change scenarios in rural Mozambique using a participatory approach, to evaluate the consequences of deforestation in the well-being of the rural population.\n \nThe data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project and were funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme, funded by NERC, the Economic & Social Research Council (ESRC) and the Department for International Development (DfID), the three are government organizations from UK. The project was led by the University of Edinburgh, with the collaboration of the Universidad Mondlane, the IIED, and other organizations. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K010395/1"],"identifier":"14622c4b-8bd4-4624-8ea6-35da7da211cd","incomingCitationCount":0,"givenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"familyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"fullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"keyword":["Mozambique","miombo woodland","ACES","ESPA programme","Ecosystem services"],"keywordsPlace":["Mozambique","miombo woodland"],"keywordsProject":["ACES","ESPA programme"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"The data were collected during the development of 20 workshops. Four of them were in cities, and the rest in rural villages. The first type of workshops were divided in two parts, one devoted to Bayesian belief networks (BBN) and the second to scenario construction. \n\nThe data was collected in different ways and formats: 1) one to three persons took notes during the workshops; 2) we recorded most of the discussions after obtaining the acceptance from the participants for doing so; 3) we took pictures of the materials generated, with the necessary quality to read and interpret the content. \n\nTwo persons were in charge of writing down the results from the workshops in the presented documents: one of them wrote a first version, which was then reviewed by a second person. Both persons had been present during the workshops. Both of them did a final review of the documents, and then were approved as official results from the project. ","locations":["POLYGON((30.21 -26.92, 30.21 -10.33, 41.05 -10.33, 41.05 -26.92, 30.21 -26.92))"],"orcid":["https://orcid.org/0000-0002-5019-1015","https://orcid.org/0000-0002-5119-5894","https://orcid.org/0000-0001-7552-7470"],"organisation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/14622c4b-8bd4-4624-8ea6-35da7da211cd","10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/02srvn192","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Understanding Land Use, Land Cover and Woodland-Based Ecosystem Services Change, Mabalane, Mozambique. 2017 Mansour Mahamane, Pedro Zorrilla-Miras, Peter Verweij, Casey Ryan, Genevieve Patenaude, Isla Grundy, Isilda Nhantumbo, Marc Metzger, Natasha Ribeiro, Sophia Baumert, Frank Vollmer. Energy and Environment Research; Vol. 7, No. 1, doi:10.5539/eer.v7n1p1 ","Environmental Conservation and Social Benefits of Charcoal Production in Mozambique. 2017. Pedro Zorrilla-Miras, Mansour Mahamane, Marc J. Metzger, Sophia Baumert, Frank Vollmer, Ana Catarina Luz, Emily Woollen, Almeida A. Sitoe, Genevieve Patenaude, Isilda Nhantumbo, Casey M.Ryan, James Paterson, Maria Juliet Matediane, Natasha Sofian Ribeiro, Isla M.Grundy. Ecological Economics Volume 144, February 2018, Pages 100-111\n","Making the links between woodlands and wellbeing: a multi-stakeholder approach. Isilda Nhantumbo, Pedro Zorrilla Miras, Maria Julieta Matediane, Genevieve Patenaude, Marc Metzger, James Paterson, Luis Artur, Mansour Mahamane, Almeida Sitoe"],"supplementalName":["Ecosystems Services for Poverty Alleviation (ESPA) programme","ACES project: livelihoods and land use change in Mozambique Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands?"],"title":"Causal diagrams linking rural well-being with forest ecosystem services in Mozambique (2014 and 2015)","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood,..."},{"publicationDate":"2023-12-20T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation"],"authorGivenName":["M.S.","I.","C.","R.","D.B."],"authorFamilyName":["Botham","Middlebrook","Harrower","Conway","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.","Conway, R.","Roy, D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"catalogue":"eidc","description":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see.\n\nSite indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK.\n\nSite indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\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","Butterfly Conservation","Joint Nature Conservation Committee"],"grant":["NE/R016429/1"],"identifier":"bdffdd79-7744-4d48-9f4f-d77a3ab98573","incomingCitationCount":0,"givenName":["M.S.","I.","C.","R.","D.B."],"familyName":["Botham","Middlebrook","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.","Conway, R.","Roy, D.B."],"keyword":["Biodiversity","Monitoring and observation systems","England","Northern Ireland","Scotland","UK-SCAPE","Wales","butterfly"],"keywordsTheme":["Biodiversity"],"keywordsOther":["Monitoring and observation systems","England","Northern Ireland","Scotland","UK-SCAPE","Wales","butterfly"],"licence":"Non-Open government licence","lineage":"Automatic checks are applied when data are entered into the Transect Walker program to alert recorders to potential data entry errors, e.g. abnormally high counts of a species or a record of species outside of its recognised flight period. The recorder is given the option to proceed with the record or to alter it appropriately. Each site data belongs to a region for which a transect coordinator is responsible. The regional coordinator has good knowledge of the sites they receive records for and checks the records for any questionable records. Data entered online is also checked by the regional transect coordinators and can be done so continuously throughout the season. Following these preliminary validation checks, the data undergoes a series of further automated and manual validation procedures including queries to check for records of species that are: recorded out of their known distribution range (using data from Butterfly Conservation's Butterflies for the New Millennium (BNM) and existing UKBMS data), recorded out of their normal flight period, recorded for the first time at a site, have extreme abundances or abundances that are markedly different to normal for a given site at a given time of year.","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/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","Natural Environment Research Council","British Trust for Ornithology","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bdffdd79-7744-4d48-9f4f-d77a3ab98573","10.5285/bdffdd79-7744-4d48-9f4f-d77a3ab98573"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","Natural Environment Research Council","British Trust for Ornithology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: site indices 2022","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely..."},{"publicationDate":"2016-05-25T00:00:00.000+00:00","authorAffiliation":["Queen Mary University of London","Lancaster University"],"authorGivenName":["C.M.","A."],"authorFamilyName":["Heppell","Binley"],"authorFullName":["Heppell, C.M.","Binley, A."],"authorRor":["https://ror.org/026zzn846","https://ror.org/04f2nsd36"],"catalogue":"eidc","description":"This dataset contains discharge and surface water chemistry for the six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Manual measurements of discharge by the velocity-area method enabled construction of a stage-discharge relationship for each site. Stream stage was measured using pressure transducers from Summer 2013 to Summer 2015. River water samples were collected at 48-hr intervals from Summer 2013 to Summer 2014 and samples were analysed for selected solutes and suspended sediment. ","documentType":"GEMINI_DOCUMENT","identifier":"0dd10858-7b96-41f1-8db5-e7b4c4168af5","incomingCitationCount":5,"givenName":["Kate","C.M.","A."],"familyName":["Heppell","Binley"],"fullName":["Heppell, K.","Heppell, C.M.","Binley, A."],"keyword":["Hampshire Avon","England","United Kingdom","Hydrology","Solutes","river","Hydrochemistry"],"keywordsPlace":["Hampshire Avon","England","United Kingdom"],"keywordsTheme":["Hydrology"],"keywordsOther":["Solutes","river","Hydrochemistry"],"licence":"Open government licence","lineage":"All data were generated by the authors with help from field and laboratory technicians. Stream stage data generated by the pressure transducers were checked fortnightly (when possible) against manual measurements. As chemical data were generated, checks were made to ensure accuracy (certified reference materials) and precision (repeat measurements) were within accepted tolerance limits. We ensured measured values fell within the calibration range and re-analysed samples where necessary. ","locations":["POLYGON((-2.11 51.027, -2.11 51.319, -1.861 51.319, -1.861 51.027, -2.11 51.027))"],"organisation":["Queen Mary University of London","Lancaster University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0dd10858-7b96-41f1-8db5-e7b4c4168af5","10.5285/0dd10858-7b96-41f1-8db5-e7b4c4168af5"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"state":"published","title":"Hampshire Avon: Daily discharge, stage and water chemistry data from four tributaries (Sem, Nadder, West Avon, Ebble)","topic":["0/Hydrology/"],"version":1.0,"view":["public","kath"],"shortenedDescription":"This dataset contains discharge and surface water chemistry for the six river reaches of contrasting geology (clay, sand, chalk) in the Hampshire Avon. Manual measurements of discharge by the velocity-area method enabled construction of a stage-discharge relationship..."},{"publicationDate":"2016-11-08T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorGivenName":["M.","D.","T.","I.","Z."],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"catalogue":"eidc","description":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2015), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).","documentType":"GEMINI_DOCUMENT","identifier":"28941e2d-ccb0-4558-8454-99c692777ce9","incomingCitationCount":0,"givenName":["M.","D.","T.","I.","Z."],"familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"keyword":["UK","England","Scotland","Wales","Northern Ireland","Biodiversity","Aglais io","Aglais urticae","Anthocharis cardamines","Apatura iris","Aphantopus hyperantus","Argynnis adippe","Argynnis aglaja","Argynnis paphia","Aricia agestis","Aricia artaxerxes","Boloria euphrosyne","Boloria selene","Callophrys rubi","Celastrina argiolus","Coenonympha pamphilus","Coenonympha tullia","Colias croceus","Cupido minimus","Erebia aethiops","Erynnis tages","Euphydryas aurinia","Favonius quercus","Gonepteryx rhamni","Hamearis lucina","Hesperia comma","Hipparchia semele","Lasiommata megera","Leptidea juvernica","Leptidea sinapis","Lycaena phlaeas","Maniola jurtina","Melanargia galathea","Melitaea athalia","Melitaea cinxia","Ochlodes sylvanus","Papilio machaon","Pararge aegeria","Pieris brassicae","Pieris napi","Pieris rapae","Plebejus argus","Polygonia c-album","Polyommatus bellargus","Polyommatus coridon","Polyommatus icarus","Pyrgus malvae","Pyronia tithonus","Satyrium pruni","Satyrium w-album","Thecla betulae","Thymelicus acteon","Thymelicus lineola","Thymelicus sylvestris","Vanessa atalanta","Vanessa cardui","lepidopteran","butterfly"],"keywordsPlace":["UK","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"keywordsOther":["Aglais io","Aglais urticae","Anthocharis cardamines","Apatura iris","Aphantopus hyperantus","Argynnis adippe","Argynnis aglaja","Argynnis paphia","Aricia agestis","Aricia artaxerxes","Boloria euphrosyne","Boloria selene","Callophrys rubi","Celastrina argiolus","Coenonympha pamphilus","Coenonympha tullia","Colias croceus","Cupido minimus","Erebia aethiops","Erynnis tages","Euphydryas aurinia","Favonius quercus","Gonepteryx rhamni","Hamearis lucina","Hesperia comma","Hipparchia semele","Lasiommata megera","Leptidea juvernica","Leptidea sinapis","Lycaena phlaeas","Maniola jurtina","Melanargia galathea","Melitaea athalia","Melitaea cinxia","Ochlodes sylvanus","Papilio machaon","Pararge aegeria","Pieris brassicae","Pieris napi","Pieris rapae","Plebejus argus","Polygonia c-album","Polyommatus bellargus","Polyommatus coridon","Polyommatus icarus","Pyrgus malvae","Pyronia tithonus","Satyrium pruni","Satyrium w-album","Thecla betulae","Thymelicus acteon","Thymelicus lineola","Thymelicus sylvestris","Vanessa atalanta","Vanessa cardui","lepidopteran","butterfly"],"licence":"Non-Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Collated indices are calculated from UKBMS data using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.","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/0000-0002-5276-1405","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","UK Butterfly Monitoring Scheme","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/28941e2d-ccb0-4558-8454-99c692777ce9","10.5285/28941e2d-ccb0-4558-8454-99c692777ce9"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites. "],"supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: species trends 2015","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value)..."},{"publicationDate":"2022-03-18T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Ecological Surveys (Bangor)"],"authorGivenName":["S.M.","C.","M.","E.","R.A.","A.","P.A.","C.E.","B.","S.","D.W.","P.","H.","C.M."],"authorFamilyName":["Smart","Andrews","Brentegani","Fitos","Garbutt","Gray","Henrys","Long","Meek","Mullally","Ó Ceallaigh","O'Rourke","Pallett","Peet","Scarlett","Wagner","Wallace","Williams","Wood"],"authorFullName":["Smart, S.M.","Andrews, C.","Brentegani, M.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Long, C.E.","Meek, B.","Mullally, S.","Ó Ceallaigh, C.","O'Rourke, C.","Pallett, D.W.","Peet, E.","Scarlett, P.","Wagner, M.","Wallace, H.","Williams, B.","Wood, C.M."],"authorOrcid":["https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of plant species presence and abundance in different sizes of plots recorded from 159 1km squares across Great Britain in 2020 and 2021, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated every five years.\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 previously been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to the majority of 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 vegetation data, soil data are also gathered by the current phase of the 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.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"48b52173-de8d-46c0-8e59-be3b819e234a","incomingCitationCount":0,"givenName":["S.M.","C.","M.","E.","R.A.","A.","P.A.","C.E.","B.","S.","D.W.","P.","H.","C.M."],"familyName":["Smart","Andrews","Brentegani","Fitos","Garbutt","Gray","Henrys","Long","Meek","Mullally","Ó Ceallaigh","O'Rourke","Pallett","Peet","Scarlett","Wagner","Wallace","Williams","Wood"],"fullName":["Smart, S.M.","Andrews, C.","Brentegani, M.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Long, C.E.","Meek, B.","Mullally, S.","Ó Ceallaigh, C.","O'Rourke, C.","Pallett, D.W.","Peet, E.","Scarlett, P.","Wagner, M.","Wallace, H.","Williams, B.","Wood, C.M."],"keyword":["Biodiversity","Environmental survey","ground flora","Pollinators","vascular plants","Great Britain","flora (biology)","UK-SCAPE"],"keywordsTheme":["Biodiversity","Environmental survey"],"keywordsOther":["ground flora","Pollinators","vascular plants","Great Britain","flora (biology)","UK-SCAPE"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2020 and 2021 by professional, trained surveyors. Data were recorded from 159 x 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology. Standard Countryside Survey methodology was applied (refer to the online documentation).","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/0000-0002-9145-9786","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Ecological Surveys (Bangor)","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/48b52173-de8d-46c0-8e59-be3b819e234a","10.5285/48b52173-de8d-46c0-8e59-be3b819e234a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Countryside Survey website"],"title":"Vegetation plot data from the UKCEH Countryside Survey, Great Britain, 2020 and 2021","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes of plots recorded from 159 1km squares across Great Britain in 2020 and 2021, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated..."},{"publicationDate":"2021-06-22T00:00:00.000+00:00","authorAffiliation":["University of Essex","University of Oxford","Soil Conservation Service of Iceland","University of Iceland","Stockholm University","University of Helsinki"],"authorGivenName":["E.J.","E.","B.","V.F.","J.","S.I."],"authorFamilyName":["O'Gorman","Warner","Marteinsdóttir","Helmutsdóttir","Ehrlén","Robinson"],"authorFullName":["O'Gorman, E.J.","Warner, E.","Marteinsdóttir, B.","Helmutsdóttir, V.F.","Ehrlén, J.","Robinson, S.I."],"authorOrcid":["https://orcid.org/0000-0003-4507-5690","https://orcid.org/0000-0003-2236-9725","https://orcid.org/0000-0003-3779-7327","https://orcid.org/0000-0001-8539-8967","https://orcid.org/0000-0002-8831-0497"],"catalogue":"eidc","description":"This is a dataset of environmental data, vegetation cover, and community- and species-level invertebrate herbivory, sampled at 14 experimental soil plots in the Hengill geothermal valley, Iceland, from May to July 2017. The plots span a temperature gradient of 5-35 °C on average over the sampling period, yet they occur within 1 km of each other and have similar soil moisture, pH, nitrate, ammonium, and phosphate.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L011840/2","NE/M020843/1"],"identifier":"da5d7028-2aec-4da2-96ff-f347a0dfa77e","incomingCitationCount":0,"givenName":["E.J.","E.","B.","V.F.","J.","S.I."],"familyName":["O'Gorman","Warner","Marteinsdóttir","Helmutsdóttir","Ehrlén","Robinson"],"fullName":["O'Gorman, E.J.","Warner, E.","Marteinsdóttir, B.","Helmutsdóttir, V.F.","Ehrlén, J.","Robinson, S.I."],"keyword":["natural experiment","trophic ","climate change","global warming"],"keywordsOther":["natural experiment","trophic ","climate change","global warming"],"licence":"Open government licence","lineage":"Herbivory assessments were made at the plant community and species levels. We focused on three plant species with a widespread occurrence across the temperature gradient: cuckooflower (Cardamine pratensis, Linnaeus), common mouse-ear (Cerastium fontanum, Baumgerten), and marsh violet (Viola palustris, Linnaeus). For assessments of invertebrate herbivory at the species level, thirty individuals per species of C. pratensis, C. fontanum, and V. palustris were marked in each of ten plots, using a stratified random sampling method where individuals were randomly selected, but the full range of within-plot soil temperatures was represented. For assessments of invertebrate herbivory at the community level, five 50 × 50 cm quadrats were marked at random points in eight of the plots that best captured the full temperature gradient. The community-level herbivory assessment was conducted on 19th June. The number of damaged plants was recorded out of 100 random individuals, selected using a 10 × 10 grid within each 50 × 50 cm quadrat. For the species-level herbivory assessment, individual marked plants were surveyed for signs of invertebrate herbivory every two weeks from 30th May to 2nd July, generating three time-points per species. At each survey, all marked individuals for each species were assessed within a 48-hour period. Plants were recorded as damaged or not damaged by invertebrate herbivores at each time-point. Further details of how phenological stage of development, vegetation community composition, soil temperature, moisture, pH, nitrate, ammonium, and phosphate were recorded are provided in the supporting documentation.","locations":["POLYGON((-21.279 64.044, -21.279 64.061, -21.321 64.061, -21.321 64.044, -21.279 64.044))"],"orcid":["https://orcid.org/0000-0003-4507-5690","https://orcid.org/0000-0003-2236-9725","https://orcid.org/0000-0003-3779-7327","https://orcid.org/0000-0001-8539-8967","https://orcid.org/0000-0002-8831-0497"],"organisation":["University of Essex","University of Oxford","Soil Conservation Service of Iceland","University of Iceland","Stockholm University","University of Helsinki","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/da5d7028-2aec-4da2-96ff-f347a0dfa77e","10.5285/da5d7028-2aec-4da2-96ff-f347a0dfa77e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Invertebrate herbivory data across a natural soil temperature gradient in Iceland from May-July 2017","version":1.0,"view":["public","margla"],"shortenedDescription":"This is a dataset of environmental data, vegetation cover, and community- and species-level invertebrate herbivory, sampled at 14 experimental soil plots in the Hengill geothermal valley, Iceland, from May to July 2017. The plots span a temperature gradient of 5-35..."},{"publicationDate":"2020-04-20T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Botanical Society of Britain and Ireland","Joint Nature Conservation Committee","Plantlife"],"authorGivenName":["O.L.","K.J.","J.","F.","D.B."],"authorFamilyName":["Pescott","Walker","Day","Harris","Roy"],"authorFullName":["Pescott, O.L.","Walker, K.J.","Day, J.","Harris, F.","Roy, D.B."],"authorOrcid":["https://orcid.org/0000-0002-0685-8046","https://orcid.org/0000-0002-5751-8623","https://orcid.org/0000-0003-1035-2117","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This data resource provides plot-level plant occurrence data for the first five years (2015-2019) 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 2019.\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.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"cdb8707c-eed7-4da7-8fa3-299c65124ef2","incomingCitationCount":0,"givenName":["O.L.","K.J.","J.","F.","D.B."],"familyName":["Pescott","Walker","Day","Harris","Roy"],"fullName":["Pescott, O.L.","Walker, K.J.","Day, J.","Harris, F.","Roy, D.B."],"keyword":["National Plant Monitoring Scheme","NPMS","UK-SCAPE"],"keywordsOther":["National Plant Monitoring Scheme","NPMS","UK-SCAPE"],"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))"],"orcid":["https://orcid.org/0000-0002-0685-8046","https://orcid.org/0000-0002-5751-8623","https://orcid.org/0000-0003-1035-2117","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","Botanical Society of Britain and Ireland","Joint Nature Conservation Committee","Plantlife"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cdb8707c-eed7-4da7-8fa3-299c65124ef2","10.5285/cdb8707c-eed7-4da7-8fa3-299c65124ef2"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["National Plant Monitoring Scheme website","NPMS Field survey guidance notes"],"title":"National Plant Monitoring Scheme survey data (2015-2019)","version":1.0,"view":["public","hajd"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first five years (2015-2019) 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":"2020-02-25T00:00:00.000+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 counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Herbivory was measured 17 times in total (every 3-4 months) between April 2013 and August 2017. Eighteen plots were examined across three estates - plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 data only) were replanted in 2014. Plots were organised in triplets; in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: Reduced vegetation cover, normal vegetation management and enhanced vegetation cover. \n\nThe data contain damage estimated in three ways: by eye for the whole crown, by eye for the 17th frond, and by image processing for 20 leaflets of the 17th frond. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":[" NE/P00458X/1"],"identifier":"c2fbd22c-1ce9-4435-b4b0-e333addef346","incomingCitationCount":0,"givenName":["A.","A.E.","E.C.","S.H.","A.D."],"familyName":["Eycott","Turner","Luke","Advento"],"fullName":["Eycott, A.","Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"keyword":["Indonesia","Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)","Environmental risk","oil palm"],"keywordsPlace":["Indonesia"],"keywordsProject":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"keywordsTheme":["Environmental risk"],"keywordsOther":["oil palm"],"licence":"Open government licence","lineage":"At each recording session, three palms were selected at random from within experimental plots. Random palm selection was done using the rnd function in excel before visiting the field, as each palm in the experimental plots has a unique identifying tag. In the replanted stands where palms are not tagged, the randomisation was done by counting steps from the corner of the plot, again using the rnd function in excel.\n\nFirst the damage to the crown form herbivory was estimated visually from the ground. Then, counting from the youngest fully-opened frond, the 17th frond in the crown of the palm was cut and caught in a white cloth. Frond 17 represents a middle-aged frond (aged between 8.5 and 9 months) in mature palms and is commonly used by the oil palm industry as a standard to measure herbivory and herbivore load. The damage to the frond (in percent) was estimated visually. Then twenty paired leaflets, spaced evenly along the frond, were cut, placed flat on a white board and photographed (using a Nikon D90). Photography and visual damage estimates were always carried out by the same person, from the same angle (bottom left), to reduce sampling bias.\n\nPhotographs were pre-processed to remove noise and converted to binary images in Microsoft Paint. The total leaflet area was then measured in Fiji (https://fiji.sc/). A second image was prepared in Microsoft Paint, with all herbivory damage 'filled in', such that the leaflets appeared to be intact. Where leaflet tips were missing, a conservative estimate for the leaflet tip was drawn in, based on the length of neighbouring leaflets. This second image was measured in Fiji in the same way and the percent of the leaflet area consumed by herbivores was calculated. \n\nBasic data checks were carried out (checks for impossible values, such as an increase in leaf area after processing or extreme discrepancy between visual estimate and image processing values).","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"orcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"organisation":["Nord University","University of Cambridge","SMART Research Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2fbd22c-1ce9-4435-b4b0-e333addef346","10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193"],"state":"published","supplementalName":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme website"],"title":"Palm frond damage from herbivory in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established..."},{"publicationDate":"2014-06-26T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["P.A.","A.M.","D.A.","B.A."],"authorFamilyName":["Henrys","Keith","Robinson","Emmett"],"authorFullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Topsoil microbe data - Bacteria. Data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores, Shannon diversity index and Simpson diversity index. Over 1000 samples from 233 1km x 1km squares across Great Britain were sampled in 2007 and analysed. See Emmett et al. 2010 for further details of sampling and Griffiths et al. 2011 for further details of methods. Estimates of mean values within selected habitats and parent material characteristics across GB were made using Countryside Survey (CS) data from 2007 using a mixed model approach. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see dataset documentation). Please see Scott, 2008 for further details of similar statistical analysis. Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values.\n\nReferences: \nEmmett, B.A., Frogbrook, Z.L., Chamberlain P.M., Griffiths R., Pickup R., Poskitt, J., Reynolds B., Rowe E., Rowland P., Spurgeon D., Wilson J., Wood, C.M. (2008).  Countryside Survey Technical Report No.03/07: Soils Manual.  Centre for Ecology & Hydrology. http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf\n\nGriffiths, R.I.; Thomson, B.C.; James, P.; Bell, T.; Bailey, M.; Whiteley, A.S. (2011). The bacterial biogeography of British soils. Environmental Microbiology, 13 (6). 1642-1654. https://doi.org/10.1111/j.1462-2920.2011.02480.x\n\nScott, W.A. (2008).  CS Technical Report No.4/07: Statistical Report.  Centre for Ecology & Hydrology. http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf \n\n","documentType":"GEMINI_DOCUMENT","identifier":"53210c27-87fc-46e4-a3d6-e731003dc541","incomingCitationCount":0,"givenName":["A.M.","P.A.","D.A.","B.A."],"familyName":["Keith","Henrys","Robinson","Emmett"],"fullName":["Keith, A.M.","Henrys, P.A.","Robinson, D.A.","Emmett, B.A."],"keyword":["Soil","Broad Habitat","Countryside Survey","Parent Material Model","Simpson diversity index","Shannon diversity index","Non-metric Multidimensional Scaling ordination (NMDS)"],"keywordsTheme":["Soil"],"keywordsOther":["Broad Habitat","Countryside Survey","Parent Material Model","Simpson diversity index","Shannon diversity index","Non-metric Multidimensional Scaling ordination (NMDS)"],"licence":"Open government licence","lineage":"Data used are taken from the Countryside Survey Soils Report (Emmett et al. 2010) which can be found at http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf","locations":["POLYGON((-8.67 49.41, -8.67 59.85, 3.04 59.85, 3.04 49.41, -8.67 49.41))"],"orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1395932335486","https://catalogue.ceh.ac.uk/id/53210c27-87fc-46e4-a3d6-e731003dc541","10.5285/53210c27-87fc-46e4-a3d6-e731003dc541"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Griffiths, Robert I.; Thomson, Bruce C.; James, Phillip; Bell, Thomas; Bailey, Mark; Whiteley, Andrew S.. 2011 The bacterial biogeography of British soils. Environmental Microbiology, 13 (6). 1642-1654.","Emmett, B.A., Reynolds, B., Chamberlain, P.M., Rowe, E., Spurgeon, D., Brittain, S.A., Frogbrook, Z., Hughes, S., Lawlor, A.J., Poskitt, J., Potter, E., Robinson, D.A., Scott, A., Wood, C., Woods, C. (2010). Countryside Survey: Soils Report from 2007. Technical Report No. 9/07. NERC/Centre for Ecology & Hydrology 192pp. (CEH Project Number: C03259)."],"supplementalName":["Countryside Survey Soils Report from 2007"],"title":"Model estimates of topsoil microbes [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"Topsoil microbe data - Bacteria. Data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores, Shannon diversity index and Simpson diversity index. Over 1000 samples from 233 1km x 1km squares across Great..."},{"publicationDate":"2021-06-30T00:00:00.000+00:00","authorAffiliation":["University of Reading","Imperial College, London","Brazilian Agricultural Research Corporation, Brazil"],"authorGivenName":["A. ","R.L.B.","M.S.B."],"authorFamilyName":["Verhoef","Nobrega","De Moura"],"authorFullName":["Verhoef, A.","Nobrega, R.L.B.","De Moura, M.S.B."],"authorOrcid":["https://orcid.org/0000-0002-9498-6696","https://orcid.org/0000-0002-9858-8222","https://orcid.org/0000-0002-2844-1399"],"catalogue":"eidc","description":"This dataset contains half-hourly output data (for the year 2011) generated by a preliminary version of the Shrubland Ecosystem Assessment (SEcA) model. SEcA calculates the ecosystem processes for a semi-arid shrubland system, for this dataset the model has been configured for a Caatinga ecosystem. The model generates four output files, those generating the aerodynamic and surface resistances, state variables, energy balance fluxes, and carbon flux-related outputs. The data provided here relate to model runs with the JULES Farquhar model, with the Sinclair plant water stress switched on.\n\nThis work was funded by Newton/NERC/FAPESP Nordeste project: NE/N012488/1.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N012488/1"],"identifier":"ad86c0d3-624c-4ae3-9280-8d1ccbe14929","incomingCitationCount":0,"givenName":["A. ","R.L.B.","M.S.B.","Anne"],"familyName":["Verhoef","Nobrega","De Moura"],"fullName":["Verhoef, A.","Nobrega, R.L.B.","De Moura, M.S.B."],"keyword":["North-East Brazil","Ecohydrology","dryland forest","Caatinga"],"keywordsPlace":["North-East Brazil"],"keywordsOther":["Ecohydrology","dryland forest","Caatinga"],"licence":"Open government licence","lineage":"The main program (in Fortran) reads in the required input data (meteorological data, plant physiological parameters and soil hydraulic parameters) and calls the key subroutines that execute the calculation of the resistance network, fluxes (energy, water and carbon) and above-ground state variables. Input data have been quality-checked for outliers.","locations":["POLYGON((-42.495 -11.07, -42.495 -7.559, -39.748 -7.559, -39.748 -11.07, -42.495 -11.07))"],"orcid":["https://orcid.org/0000-0002-9498-6696","https://orcid.org/0000-0002-9858-8222","https://orcid.org/0000-0002-2844-1399"],"organisation":["University of Reading","Imperial College, London","Brazilian Agricultural Research Corporation, Brazil","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ad86c0d3-624c-4ae3-9280-8d1ccbe14929","10.5285/ad86c0d3-624c-4ae3-9280-8d1ccbe14929"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Water and carbon balance outputs of a mechanistic ecosystem model for a Caatinga dryland forest in north-east Brazil","version":1.0,"view":["public","hajd"],"shortenedDescription":"This dataset contains half-hourly output data (for the year 2011) generated by a preliminary version of the Shrubland Ecosystem Assessment (SEcA) model. SEcA calculates the ecosystem processes for a semi-arid shrubland system, for this dataset the model has been configured..."},{"publicationDate":"2020-06-22T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived from the corresponding LCM2017 20m classified pixels dataset.  All further LCM2017 datasets for Great Britain are derived from this land parcel product.  A range of land parcel attributes are provided.  These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help assessing classification confidence and accuracy; for a full explanation please refer to the dataset documentation.\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\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"b77ce981-d038-4774-a620-f50da5dd3d31","incomingCitationCount":1,"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"keyword":["Great Britain","Land cover","Mapping","LCM2017","vector","UK-SCAPE"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["LCM2017","vector","UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.","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/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b77ce981-d038-4774-a620-f50da5dd3d31","10.5285/b77ce981-d038-4774-a620-f50da5dd3d31"],"resourceStatus":"Controlled","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2017 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","crimar"],"shortenedDescription":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This..."},{"publicationDate":"2021-08-24T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen","CONICET","Universidad de Concepción ","Universidad de Concepción","Servicio Agrícola y Ganadero","Universidade Estadual Paulista (UNESP)","Universidad Austral de Chile","Universidad Nacional del Comahue","Universidade Estadual Paulista (Unesp)"],"authorGivenName":["Pablo","L. ","P.A.","E.","J.C. ","L.","B.","A.","J. ","G.","M.F.","E. ","J.","M.A.","M.I.","I.","J.A. ","D.F.R.P.","M.","X."],"authorFamilyName":["García Díaz","Montti","Powell","Phimister","Pizarro","Fasola","Langdon","Pauchard","Raffo","Bastías","Damasceno","Fidelis","Huerta","Linardaki","Moyano","Núñez","Ortiz","Rodríguez-Jorquera","Roesler","Tomasevic","Burslem","Cava","Lambin"],"authorFullName":["García Díaz, P.","Montti, L.","Powell, P.A.","Phimister, E.","Pizarro, J.C.","Fasola, L.","Langdon, B.","Pauchard, A.","Raffo, E.","Bastías, J.","Damasceno, G.","Fidelis, A.","Huerta, M.F.","Linardaki, E.","Moyano, J.","Núñez, M.A.","Ortiz, M.I.","Rodríguez-Jorquera, I.","Roesler, I.","Tomasevic, J.A.","Burslem, D.F.R.P.","Cava, M.","Lambin, X."],"authorOrcid":["https://orcid.org/0000-0001-5402-0611","https://orcid.org/0000-0003-0301-016X","https://orcid.org/0000-0003-3911-0912","https://orcid.org/0000-0002-6483-0113","https://orcid.org/0000-0002-5240-2816","https://orcid.org/0000-0001-8397-1774","https://orcid.org/0000-0003-1284-3163","https://orcid.org/0000-0001-9218-0632","https://orcid.org/0000-0001-5103-484X","https://orcid.org/0000-0001-9545-2285","https://orcid.org/0000-0002-7072-0527","https://orcid.org/0000-0003-0324-5479","https://orcid.org/0000-0001-8854-8422","https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-6630-5347","https://orcid.org/0000-0003-4643-2653"],"authorRor":["https://ror.org/016476m91","https://ror.org/0460jpj73","https://ror.org/00987cb86"],"catalogue":"eidc","description":"This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies:  pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia Region (Argentina); (iii) privet (Ligustrum lucidum) in the Yungas Forest (Argentina); (iv) invasive grasses (Urochloa brizantha and Urochloa decumbens) in the Cerrado (Brazil); (v) the American mink (Neovison vison) in Austral Patagonia (Argentina); (vi) the American mink in the Los Ríos Region (Chile); and, (vi) the yellow jacket wasps (Vespula germanica) in the Los Ríos Region (Chile). The impacts were elicited by experts (varying between two and four experts for each case study) following the procedures described in the supporting files.\n\nA total of 1,526 impacts were identified by the experts, and these impacts can be found in the \"Compiled-Impact.csv\" file. This file contains information about the impact outcome, impact mechanism, EICAT impact category, level of confidence, the species or asset impacted, the direction of the impact, the extent of the study area, the name of the IAS, whether the IAS is a plant or an animal, and the country.\n\nAfter two rounds of scoring, the impacts listed in the “Compiled-Impact.csv” were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). The final, agreed impact scores can be found in the file \"Unique-Impact.csv\". This final dataset contains 209 impacts and information about the same variables described above for the \"Compiled-Impact.csv\" file.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S011641/1"],"identifier":"d00a647a-16ec-4d2a-a3a3-ad59597e8ca2","incomingCitationCount":0,"givenName":["Pablo","L. ","P.A.","E.","J.C. ","L.","B.","A.","J. ","G.","M.F.","E. ","J.","M.A.","M.I.","I.","J.A. ","D.F.R.P.","M.","X."],"familyName":["García Díaz","Montti","Powell","Phimister","Pizarro","Fasola","Langdon","Pauchard","Raffo","Bastías","Damasceno","Fidelis","Huerta","Linardaki","Moyano","Núñez","Ortiz","Rodríguez-Jorquera","Roesler","Tomasevic","Burslem","Cava","Lambin"],"fullName":["García Díaz, P.","Montti, L.","Powell, P.A.","Phimister, E.","Pizarro, J.C.","Fasola, L.","Langdon, B.","Pauchard, A.","Raffo, E.","Bastías, J.","Damasceno, G.","Fidelis, A.","Huerta, M.F.","Linardaki, E.","Moyano, J.","Núñez, M.A.","Ortiz, M.I.","Rodríguez-Jorquera, I.","Roesler, I.","Tomasevic, J.A.","Burslem, D.F.R.P.","Cava, M.","Lambin, X."],"keyword":["Invasive species","Alien species","Collaborative process","Expert elicitation","Latin America","Natural resource management planning","Uncertainty"],"keywordsTheme":["Invasive species"],"keywordsOther":["Alien species","Collaborative process","Expert elicitation","Latin America","Natural resource management planning","Uncertainty"],"licence":"Open government licence","lineage":"Expert elicitation activity\n\nMethods & contents: Seventeen experts working on seven case studies received individual Impact Score spreadsheets based on the \"CONTAIN-ImpactScoringSheet(MinkExampleSalamanca-English).xlsx\", and were instructed to complete them independently following the guidance provided in the file \"CONTAIN-ImpactScoringInstructions.pdf\". All the impacts listed by the experts can be found in the \"Compiled-Impact.csv\" file. After two rounds of scoring, the results were further discussed during a facilitated workshop in San Carlos de Bariloche (Argentina; December 2019). \n\nWe conducted a preliminary evaluation of the usefulness of our methods by sending the \"ImpactBrief-CONTAIN(Español).pdf\" and \"ImpactBrief-CONTAIN(English).pdf\" to our collaborators in Latin America. This part was carried out by co-authors LM, PAP, LF, BL, AP, and ER.\n\nThe final, agreed, impact scores can be found in the file \"Unique-Impact.csv\". ","locations":["POLYGON((-84.024 -56.364, -84.024 -2.812, -34.102 -2.812, -34.102 -56.364, -84.024 -56.364))"],"orcid":["https://orcid.org/0000-0001-5402-0611","https://orcid.org/0000-0003-0301-016X","https://orcid.org/0000-0003-3911-0912","https://orcid.org/0000-0002-6483-0113","https://orcid.org/0000-0002-5240-2816","https://orcid.org/0000-0001-8397-1774","https://orcid.org/0000-0003-1284-3163","https://orcid.org/0000-0001-9218-0632","https://orcid.org/0000-0001-5103-484X","https://orcid.org/0000-0001-9545-2285","https://orcid.org/0000-0002-7072-0527","https://orcid.org/0000-0003-0324-5479","https://orcid.org/0000-0001-8854-8422","https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-6630-5347","https://orcid.org/0000-0003-4643-2653"],"organisation":["University of Aberdeen","CONICET","Universidad de Concepción ","Universidad de Concepción","Servicio Agrícola y Ganadero","Universidade Estadual Paulista (UNESP)","Universidad Austral de Chile","Universidad Nacional del Comahue","Universidade Estadual Paulista (Unesp)","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2","10.5285/d00a647a-16ec-4d2a-a3a3-ad59597e8ca2"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/0460jpj73","https://ror.org/00987cb86","https://ror.org/04xw4m193"],"state":"published","title":"Inventory of impacts of seven invasive alien species in Chile, Brazil, and Argentina. Results of an expert elicitation exercise","topic":["0/Invasive species/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contain inventories of the impacts of invasive alien species (IAS) in Brazil, Chile, and Argentina. These include seven case studies:  pines (Pinus contorta) in the Araucanía and Aysén Regions (Chile); (ii) pines (Pinus contorta) in the Northern Patagonia..."},{"publicationDate":"2012-09-21T00:00:00.000+00:00","catalogue":"eidc","description":"This dataset consists of soil data for 64 field sites on paired farm sites, with 29 variables measured for soil texture and structural condition, aggregate stability, organic matter content, soil shear strength, fuel consumption, work rate, infiltration rate, water quality and hydrological condition (HOST) data. The study is part of the NERC Rural Economy and Land Use (RELU) programme. A move to organic farming can have significant effects on wildlife, soil and water quality, as well as changing the ways in which food is supplied, the economics of farm business and indeed the attitudes of farmers themselves. Two key questions were addressed in the SCALE project: what causes organic farms to be arranged in clusters at local, regional and national scales, rather than be spread more evenly throughout the landscape; and how do the ecological, hydrological, socio-economic and cultural impacts of organic farming vary due to neighbourhood effects at a variety of scales. The research was undertaken in 2006-2007 in two study sites: one in the English Midlands, and one in southern England. Both are sites in which organic farming has a 'strong' local presence, which we defined as 10 per cent or more organically managed land within a 10 km radius. Potential organic farms were identified through membership lists of organic farmers provided by two certification bodies (the Soil Association and the Organic Farmers and Growers). Most who were currently farming (i.e. their listing was not out of date) agreed to participate. Conventional farms were identified through telephone listings. Respondents' farms ranged in size from 40 to 3000 acres, with the majority farming between 100 and 1000 acres. Most were mixed crop-livestock farmers, with dairy most common in the southern site, and beef and/or sheep mixed with arable in the Midlands. In total, 48 farms were studied, of which 21 were organic farmers. No respondent had converted from organic to conventional production, whereas 17 had converted from conventional to organic farming. Twelve of the conventional farmers defined themselves as practicing low input agriculture. Farmer interview data from this study are available at the UK Data Archive under study number 6761 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).","documentType":"GEMINI_DOCUMENT","identifier":"5b33e1e1-88d1-4a41-8a0c-2e71c2e379ee","incomingCitationCount":0,"givenName":["Ruben","RJ","Laura","Sigrid"],"familyName":["Sakrabani","Godwin","Hathaway-Jenkins","Stagl"],"fullName":["Sakrabani, R.","Godwin, R.","Hathaway-Jenkins, L.","Stagl, S."],"keyword":["Effects of Scale in Organic Agriculture","Rural Economy and Land Use Programme"],"keywordsOther":["Effects of Scale in Organic Agriculture","Rural Economy and Land Use Programme"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0006 Botanical inventory and soil analyses on 42 selected case study farms with biodiverse grassland types: twelve lamb farms, fifteen beef farms, twelve cheese farms, three control farms. Three grassland communities (mesotrophic, acid and calcareous) were so selected, represented by saltmarsh, moorland and heather for sheep farming; acid, calcareous and wet-neutral grasslands for beef farming; and circumneutral for on-farm cheese production. These were located using existing vegetation maps and surveys. For the botanical survey plant species were identified and their frequency recorded, as well as site and vegetation description, soil profile, soil depth, slope, aspect, stand area, sample area, mean height of layers of vegetation, altitude and geology. The data recorded on species cover and the calculated frequency class was then used to assign the assessed stand of vegetation to a published community or sub-community. For soil analyses 100 g soil samples were taken for each site to determine:\n * sodium, potassium, calcium and magnesium in soil by ICP-AES\n * phosphate-phosphorus in soil by colorimetry\n * pH in soil and water","locations":["POLYGON((-2.99 50.57, -2.99 53.85, 0.14 53.85, 0.14 50.57, -2.99 50.57))"],"organisation":["Cranfield University","University of Sussex","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1310549740504","https://catalogue.ceh.ac.uk/id/5b33e1e1-88d1-4a41-8a0c-2e71c2e379ee"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/05cncd958","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"state":"published","supplementalName":["ESDS catalogue record","RELU Knowledge Portal project page"],"title":"Soil data from agricultural land under differing crop and management regimes, 2006-2010 - RELU Effects of scale in organic agriculture","version":1.0,"view":["public","rstu"],"shortenedDescription":"This dataset consists of soil data for 64 field sites on paired farm sites, with 29 variables measured for soil texture and structural condition, aggregate stability, organic matter content, soil shear strength, fuel consumption, work rate, infiltration rate, water..."},{"publicationDate":"2023-12-05T00:00:00.000+00:00","authorAffiliation":["Aberdeen University","James Hutton Institute","University of Aberdeen","Scotland's Rural College (SRUC)","University of Perugia, Italy","Cranfield University","University of Edinburgh","University of Bristol","Brightspot Climate","Newcastle University","Sterling University","Unaffiliated","Trinity Agtech","University of Vermont"],"authorGivenName":["S.H.","M.","V.","P.","J.","D.","C.","S.","F.","B.","A.","L."],"authorFamilyName":["Vetter","Aitkenhead","Dondini","Eory","Goglio","Harris","Hillier","House","Lefebrve","MacLeod","Manning","Medina-Carmona","Mohamed-Yunus","Moran","Myrgiotis","Payen","Rees","Sohi","Sykes","Williams","Wollenberg","Smith"],"authorFullName":["Vetter, S.H.","Aitkenhead, M.","Dondini, M.","Eory, V.","Goglio, P.","Harris, J.","Hillier, J.","House, J.","Lefebrve, D.","MacLeod, M.","Manning, D.","Medina-Carmona, C.","Mohamed-Yunus, S.","Moran, D.","Myrgiotis, V.","Payen, F.","Rees, B.","Sohi, S.","Sykes, A.","Williams, M.","Williams, A.","Wollenberg, L.","Smith, P."],"catalogue":"eidc","description":"The data set shows the modelled change of soil organic carbon under different managements in agriculture for different climate scenarios globally. Dataset includes the change to a business as usual scenario for different soil managements for each decade from 2030 to 2100.\nThe work was supported by the Natural Environment Research Council (NE/P019455/1)  \n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P019455/1"],"identifier":"fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8","incomingCitationCount":0,"givenName":["S.H.","M.","V.","P.","J.","D.","C.","S.","F.","B.","A.","L."],"familyName":["Vetter","Aitkenhead","Dondini","Eory","Goglio","Harris","Hillier","House","Lefebrve","MacLeod","Manning","Medina-Carmona","Mohamed-Yunus","Moran","Myrgiotis","Payen","Rees","Sohi","Sykes","Williams","Wollenberg","Smith"],"fullName":["Vetter, S.H.","Aitkenhead, M.","Dondini, M.","Eory, V.","Goglio, P.","Harris, J.","Hillier, J.","House, J.","Lefebrve, D.","MacLeod, M.","Manning, D.","Medina-Carmona, C.","Mohamed-Yunus, S.","Moran, D.","Myrgiotis, V.","Payen, F.","Rees, B.","Sohi, S.","Sykes, A.","Williams, M.","Williams, A.","Wollenberg, L.","Smith, P."],"keyword":["Climate and climate change","soil carbon","management","greenhouse gas removal","carbon sequestration","soil","agriculture","greenhouse gas"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["soil carbon","management","greenhouse gas removal","carbon sequestration","soil","agriculture","greenhouse gas"],"licence":"Open government licence","lineage":"The global data was modelled with the model ECOSSE (Estimating Carbon in Organic Soils – Sequestration and Emissions) with the use of global data sets for soil (harmonised world soil database) and climate (CRU dataset). The business as usual (BAU) scenario was modelled for the crop wheat and conventional tillage practice. The produced data set presents the difference to the BAU scenario by simulating different managements (reduced till, no till, residue incorporation, cover cropping, and manure) and climate scenarios based on the data sets of the Climate Research Unite of University of East Anglia (A1B – a moderate climate change scenario under rapid economic growth but balanced over all sectors, A2 – a worst case climate scenario with regional heterogeneous economic growth) in the years 2050 and 2100.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["Aberdeen University","James Hutton Institute","University of Aberdeen","Scotland's Rural College (SRUC)","University of Perugia, Italy","Cranfield University","University of Edinburgh","University of Bristol","Brightspot Climate","Newcastle University","Sterling University","Unaffiliated","Trinity Agtech","University of Vermont","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8","10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Modelled global soil carbon change based on different management and climate scenarios from 2030 to 2100","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"The data set shows the modelled change of soil organic carbon under different managements in agriculture for different climate scenarios globally. Dataset includes the change to a business as usual scenario for different soil managements for each decade from 2030 to..."},{"publicationDate":"2015-06-30T00:00:00.000+00:00","authorAffiliation":["Royal Veterinary College","University of Cambridge","Swansea University"],"authorGivenName":["D.","A.J.","A."],"authorFamilyName":["Mamuneas","Spence","Manica","King"],"authorFullName":["Mamuneas, D.","Spence, A.J.","Manica, A.","King, A."],"authorRor":["https://ror.org/01wka8n18","https://ror.org/013meh722","https://ror.org/053fq8t95"],"catalogue":"eidc","description":"Data are of speed and accuracy of decision making in stickleback fish of different personalities. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze. The work was carried out between March 2012 and February 2013 at The Structure and Motion Laboratory, Royal Veterinary College. The work was funded by a BBSRC studentship, NERC ( grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) and The Royal Society (RG 110401) All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/H016600/2"],"identifier":"1ed2ab55-0688-4513-be9a-f9f0f21d2788","incomingCitationCount":0,"givenName":["A.","D.","A.J."],"familyName":["King","Mamuneas","Spence","Manica"],"fullName":["King, A.","Mamuneas, D.","Spence, A.J.","Manica, A."],"keyword":["Animal behaviour","Gasterosteus aculeatus","animal behaviour"],"keywordsTheme":["Animal behaviour"],"keywordsOther":["Gasterosteus aculeatus","animal behaviour"],"licence":"Open government licence","lineage":"A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze, constructed out of opaque gray plastic with 3 arms a start maze and binary choice, one of which contained a food reward. Panasonic HDC-SD60 high-definition video cameras, each mounted directly above mazes, were used to record speed and accuracy of decision making in stickleback fish of different personalities. All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). ","organisation":["Swansea University","Royal Veterinary College","University of Cambridge","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["10.5285/1ed2ab55-0688-4513-be9a-f9f0f21d2788","https://catalogue.ceh.ac.uk/id/1ed2ab55-0688-4513-be9a-f9f0f21d2788"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/053fq8t95","https://ror.org/01wka8n18","https://ror.org/013meh722","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Mamuneas, D., Spence, A. J., Manica, A., King, A. J. (2015) Bolder stickleback fish make faster decisions, but they are not less accurate. Behavioral Ecology 6: 91-96."],"title":"Behavioural experiments in the laboratory with stickleback fish - Fish learning data","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"Data are of speed and accuracy of decision making in stickleback fish of different personalities. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze. The work was carried out between March 2012 and February..."},{"publicationDate":"2024-02-21T00:00:00.000+00:00","authorAffiliation":["University of Exeter","Nigerian Montane Forest Project","University of Canterbury"],"authorGivenName":["S.","E.","U.","H.","M.","A.S.","T."],"authorFamilyName":["Stivanello","Emmanuel","Abubakar","Chapman","Zubairu","Streher","Feldpausch","Hill"],"authorFullName":["Stivanello, S.","Emmanuel, E.","Abubakar, U.","Chapman, H.","Zubairu, M.","Streher, A.S.","Feldpausch, T.","Hill, T."],"authorOrcid":["https://orcid.org/0000-0001-8509-703X","https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-1740-930X"],"catalogue":"eidc","description":"This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ngel Nyaki Forest, collected between June 2018 and July 2021.\nWe investigated tree mortality driven by lightning strikes in a 40-ha area at the Ngel Nyaki Forest Dynamic Plot, located in south-eastern Nigeria. Ngel Nyaki is a submontane forest with an elevation range of 1,588–1,690m and is part of the Smithsonian's Forest Global Earth Observatory (ForestGEO) network. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing).\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P001564/1"],"identifier":"5237ab05-04bd-44b6-9c53-d21eb2083e39","incomingCitationCount":0,"givenName":["S.","E.","U.","H.","M.","A.S.","T.","Tim"],"familyName":["Stivanello","Emmanuel","Abubakar","Chapman","Zubairu","Streher","Feldpausch","Hill"],"fullName":["Stivanello, S.","Emmanuel, E.","Abubakar, U.","Chapman, H.","Zubairu, M.","Streher, A.S.","Feldpausch, T.","Hill, T."],"keyword":["tree mortality","tree","forest Inventory","lightning","tropical forest"],"keywordsOther":["tree mortality","tree","forest Inventory","lightning","tropical forest"],"licence":"Open government licence","lineage":"For each tree measured in the forest inventory we installed a custom-made Rogowski Coil sensor, that was designed and tested by the Cardiff Morgan Botti lightning laboratory, to record if a tree was struck by lightning, without damaging the tree or altering the tree's electrical resistance. The Rogowski Coil is a non-contact sensor commonly used to measure alternating and impulse current flowing through the axis of the coil (in our case, down the tree). A quick visual check of the fuse allows us to see if the tree was struck by lightning. In addition to tree stem measurements, in each census, we also took notes on the general state of the coil and fuse, and the electrical conductivity was measured. Trees struck by lightning (e.g. with the fuse blown or melted) were identified at the species level and any lightning-associated damage to the tree (e.g. marks in trunks, broke branches, canopy dieback) and in the surroundings (e.g. canopy gaps, sapling mortality) was documented.","locations":["POLYGON((11.056 6.934, 11.056 6.992, 11.093 6.992, 11.093 6.934, 11.056 6.934))"],"orcid":["https://orcid.org/0000-0001-8509-703X","https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-1740-930X"],"organisation":["University of Exeter","Nigerian Montane Forest Project","University of Canterbury","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5237ab05-04bd-44b6-9c53-d21eb2083e39","10.5285/5237ab05-04bd-44b6-9c53-d21eb2083e39"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/03yghzc09"],"state":"published","title":"Forest inventory and lightning strikes data from the Ngel Nyaki forest, Nigeria, 2018-2021","version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ngel Nyaki Forest, collected between June 2018 and July 2021.\nWe investigated tree mortality driven by..."},{"publicationDate":"2019-10-17T00:00:00.000+00:00","authorAffiliation":["University of Helsinki","University of Manchester","Diamond Light Source","Galson Sciences Ltd","Kyushu University","Paul Scherrer Institute"],"authorGivenName":["W.","K.","F.R.","J.F.W.","C.M.","A.J.","L.S.","C.","J.R.","S.","D.","T.","J.E.","G."],"authorFamilyName":["Bower","Morris","Livens","Mosselmans","Fallon","Fuller","Natrajan","Boothman","Lloyd","Utsunomia","Grolimund","Ferreira Sanchez","Jilbert","Parker","Neill","Law"],"authorFullName":["Bower, W.","Morris, K.","Livens, F.R.","Mosselmans, J.F.W.","Fallon, C.M.","Fuller, A.J.","Natrajan, L.S.","Boothman, C.","Lloyd, J.R.","Utsunomia, S.","Grolimund, D.","Ferreira Sanchez, D.","Jilbert, T.","Parker, J.E.","Neill, T.","Law, G."],"authorOrcid":["https://orcid.org/0000-0003-2070-2483","https://orcid.org/0000-0002-2320-6330"],"authorRor":["https://ror.org/040af2s02","https://ror.org/027m9bs27","https://ror.org/05etxs293","https://ror.org/00tvcfv48","https://ror.org/00p4k0j84","https://ror.org/03eh3y714"],"catalogue":"eidc","description":"This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. \n\nMeasurements were carried out to determine the extent of uranic particle dissolution and the speciation of dissolved uranium within the columns under contrasting biogeochemical conditions (oxic and electron-donor amended). Columns effluents were analysed periodically for key biogeochemical indicators (nitrate, sulfate) and trace metals (iron, manganese, uranium) and systems were sacrificed after 6 and 12 months of groundwater flow. Upon sacrifice, columns were cross-sectioned, and the sediment structure preserved for synchrotron micro-focus X-ray Fluorescence (XRF) mapping, and uranium L-edge X-ray Absorption Spectroscopy (XAS) measurements. Sub-samples of column sediments were also analysed for acid extractable metals, microbial abundance and classification and bioavailable Fe(II) concentrations. \n\nExperiments were performed between March 2016 and March 2017. Subsequent analyses were performed between March 2017 and December 2018. \n\nThis data was collected as part of the project: Understanding radioactive ‘hot’ particle evolution in the environment funded by the UK Natural Environment Research Council (grant NE/M014088/1). ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M014088/1"],"identifier":"2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1","incomingCitationCount":1,"givenName":["Will","W.","K.","F.R.","J.F.W.","C.M.","A.J.","L.S.","C.","J.R.","S.","D.","T.","J.E.","G."],"familyName":["Bower","Morris","Livens","Mosselmans","Fallon","Fuller","Natrajan","Boothman","Lloyd","Utsunomia","Grolimund","Ferreira Sanchez","Jilbert","Parker","Neill","Law"],"fullName":["Bower, W.","Morris, K.","Livens, F.R.","Mosselmans, J.F.W.","Fallon, C.M.","Fuller, A.J.","Natrajan, L.S.","Boothman, C.","Lloyd, J.R.","Utsunomia, S.","Grolimund, D.","Ferreira Sanchez, D.","Jilbert, T.","Parker, J.E.","Neill, T.","Law, G."],"keyword":["Soil","Metaschoepite","X-ray spectroscopy data","uranium","groundwater"],"keywordsTheme":["Soil"],"keywordsOther":["Metaschoepite","X-ray spectroscopy data","uranium","groundwater"],"licence":"Open government licence","lineage":"Laboratory measurements were carried out at the Centre for Radiochemistry Research and the Williamson Research Centre at the University of Manchester, UK. Synchrotron data were collected at Diamond Light Source, UK (beamlines I18, B18 and I14) and the Swiss Light Source (beamline X05-LA) under allocations SP15085, SP17270, SP13559, SP18053-1, and 20170741.\n\nA detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article:","orcid":["https://orcid.org/0000-0003-2070-2483","https://orcid.org/0000-0002-2320-6330"],"organisation":["University of Helsinki","University of Manchester","Diamond Light Source","Galson Sciences Ltd","Kyushu University","Paul Scherrer Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1","10.5285/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/040af2s02","https://ror.org/027m9bs27","https://ror.org/05etxs293","https://ror.org/00tvcfv48","https://ror.org/00p4k0j84","https://ror.org/03eh3y714","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["NeXus is a common data format for neutron, x-ray, and muon science. It is being developed as an international standard by scientists and programmers representing major scientific facilities in order to facilitate greater cooperation in the analysis and visualization of neutron, x-ray, and muon data.","Maps are from multiple\nbeamlines and are either .txt. files, where columns pertain to different chemical elements, or .nxs files,\nwhich can be opened using the DAWN Science Suite, freely available from Diamond Light Source"],"supplementalName":["Further information about the NeXus data format","DAWN Science Suite"],"title":"Metaschoepite dissolution in sediment column systems – groundwater/soil geochemistry and uranium X-ray spectroscopy data","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. \n\nMeasurements were carried out to determine..."},{"publicationDate":"2019-05-03T00:00:00.000+00:00","authorAffiliation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland"],"authorGivenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"authorFamilyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"authorFullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85"],"catalogue":"eidc","description":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in liver tissues for 68 polecats found dead in Great Britain between 2013 and 2016. \n\nAll carcasses were stored frozen until necropsy examination at the National Museum of Scotland (with support from The Negaunee Foundation). \n\nLiver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Funding for the rodenticide analysis was provided by the People's Trust for Endangered Species and CEH.\n\nPhD funding from The Vincent Wildlife Trust and the University of Exeter.","documentType":"GEMINI_DOCUMENT","funder":["Vincent Wildlife Trust"],"identifier":"2f49911c-192c-4f09-a1a2-72a21f20706c","incomingCitationCount":1,"givenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"familyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"fullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"keyword":["Environmental risk","Environmental survey","Agriculture","European polecat","Mustela putorius","forest polecat","black polecat"],"keywordsTheme":["Environmental risk","Environmental survey","Agriculture"],"keywordsOther":["European polecat","Mustela putorius","forest polecat","black polecat"],"licence":"Open government licence","lineage":"Polecat carcasses were collected as part of a national monitoring survey carried out by the Vincent Wildlife Trust between December 2013 and March 2016.  Sixty-eight carcasses were selected for rodenticide analysis, based on stratification by sex, location and collection date.  Of the animals selected 56 were road traffic casualties; the remainder were found dead in fields, killed by dogs, trapped or the cause of death was unknown. \nCollection date and location were recorded for all carcasses, which were stored frozen until necropsy examination at the National Museum of Scotland. The poor condition of the majority of the carcasses precluded assessment of clinical signs of exposure to rodenticides. Where carcass condition allowed, gross necropsy examination included recording of sex, head and body length (nose to tip of tail), mass and internal fat, scored on a five-point scale. Teeth (for ageing), whiskers (for stable isotope analysis) and liver tissue (for rodenticide analysis) were collected.  Liver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Whiskers were prepared for analysis at the University of Exeter and analysed at Elemtex, UK and teeth were sent to Matson’s Lab LLC, USA for aging by analysis of cementum layers.\nRodenticide analysis: Concentrations of the five SGARs licensed for use in Great Britain (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) were determined in the polecat livers. A 0.25 g sub-sample of each liver was thawed, weighed accurately, ground and dried with anhydrous sodium sulphate. Labelled standard (d5- Bromadiolone, QMx) was added to each sample for quality control purposes and determination of analyte recovery.  Each liver sub-sample was solvent-extracted and then cleaned-up using size exclusion chromatography followed by elution through solid-phase cartridges. Extraction was carried out twice with clean solvent. Each extraction involved vortex mixing of the sample with 1:1 v/v chloroform:acetone, mechanical shaking and centrifugation. The resultant supernatants from the two extraction runs were combined, solvent-exchanged into (1:1; v/v) chloroform:acetone, filtered (0.2 mm PTFE filter), subjected to a further solvent exchange into (1:23; v/v) acetone:DCM, filtered again, and cleaned-up by size-exclusion chromatography (Agilent 1200 HPLC).  The cleaned extract was solvent-exchanged into 1:1:8; v/v. chloroform:acetone:acetonitrile and underwent a second clean-up using solid phase, methanol-washed, acetonitrile-activated extraction cartridges (ISOLUTE® SI 500 mg, 6 ml).  The cartridges were eluted with the same solvent and the eluate exchanged for the mobile phase.\nLiver SGAR residues were quantified by HPLC linked to a triple quadrupole mass spectrometer interfaced with an ion max source in Atmospheric Pressure Chemical Ionisation mode (APCI) with negative polarity.  Full details of the operational parameters used are as given by Walker et al. (2017).  All rodenticide standards (Dr Ehrenstorfer) were matrix matched and linear calibration curves were defined such that R2>0.99. A blank was run with each batch of unknowns.  The mean method limit of detection (LOD) across batches for each compound was 0.0014 µg/g, except for difethialone which was 0.0022 µg/g. The mean (± SE) recovery for the total procedure was calculated from the labelled bromadiolone standard applied to each sample and was 68.0 ±2.1%. Liver SGAR concentrations were not recovery corrected and are expressed on a wet weight basis.  Summed (Σ) SGAR liver concentrations in individual animals were calculated by summing the concentrations of the five different SGARs, a zero concentration being assigned to individual compounds that were not detected.\nStable isotope analysis: Whiskers were gently rinsed in distilled water and then freeze dried for 24 hours. One whisker per animal was cut into ~1mm segments using a scalpel, starting at the proximal end of the whisker. Consecutive segments were pooled until the summed sample weight was ~0.7 mg.  The sample was enclosed in a tin cup and put into a tray for analysis. The next segment was prepared in the same way and the process was further repeated until either the whole whisker was used, or less than 0.2 mg was remaining.  Samples were analysed on a Thermoquest EA1110 elemental analyser linked to a Europa Scientific 2020 isotope ratio mass spectrometer at Elemtex Ltd (Cornwall, UK) for δ15N and δ13C. δ15N and δ13C abundance are reported as δ-values and expressed as a per mil (‰) deviation from the international reference standards (PDB for carbon and AIR for nitrogen). Replicate analysis of standards (USGS 40, USGS 41 and an in-house bovine liver standard) yielded standard deviations of 0.05 – 0.29 for δ15N and 0.05 – 0.22 for δ13C. \nCementum ageing was undertaken by Matson’s Lab LLC (Manhattan, MT, USA) following a standard protocol. After decalcification in a weak hydrochloric acid solution, teeth were sectioned sagittally and mounted on glass slides. The sections were stained to allow visual differentiation of annual cementum growth layers. These layers (annuli) were examined microscopically for age estimation at time of death. Birth date was set to 1 May for the purpose of estimating age in months.\nCalibration with historical dataset: Combination of new and historical data involved applying the limits of detection (LOD) for each compound from Shore et al. (2003), which were higher than those in the present study, to eliminate biases caused by changes in analytical sensitivity.\nFor full references please refer to the supporting document.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f49911c-192c-4f09-a1a2-72a21f20706c","10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85","https://ror.org/04xw4m193"],"state":"published","title":"Secondary exposure to second-generation anticoagulant rodenticides in European polecats (Mustela putorius) in Great Britain 2013 to 2016","topic":["0/Environmental risk/","0/Environmental survey/","0/Agriculture/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in..."},{"publicationDate":"2023-12-20T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorGivenName":["M.S.","I.","J.","C.","R.","D.B."],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"catalogue":"eidc","description":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade.\n\nCollated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\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","Butterfly Conservation","Joint Nature Conservation Committee"],"grant":["NE/R016429/1"],"identifier":"1b522961-9d5e-460c-8762-389f2314e85b","incomingCitationCount":0,"givenName":["M.S.","I.","J.","C.","R.","D.B."],"familyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B."],"keyword":["Biodiversity","England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","butterfly"],"keywordsTheme":["Biodiversity"],"keywordsOther":["England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","butterfly"],"licence":"Non-Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","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/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1b522961-9d5e-460c-8762-389f2314e85b","10.5285/1b522961-9d5e-460c-8762-389f2314e85b"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2022","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed,..."}],"facets":[{"fieldName":"topic","displayName":"Topic","hierarchical":true,"admin":false,"results":[{"name":"Agriculture","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset&facet=topic%7C0%2FAgriculture%2F","active":false,"count":68},{"name":"Animal behaviour","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset&facet=topic%7C0%2FAnimal+behaviour%2F","active":false,"count":78},{"name":"Biodiversity","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset&facet=topic%7C0%2FBiodiversity%2F","active":false,"count":270},{"name":"Climate and climate change","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset&facet=topic%7C0%2FClimate+and+climate+change%2F","active":false,"count":158},{"name":"Ecosystem 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