{"numFound":23,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=rightsHolder%7CUniversity+of+Glasgow&facet=resourceStatus%7CAvailable","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=rightsHolder%7CUniversity+of+Glasgow&facet=resourceStatus%7CAvailable","results":[{"publicationDate":"2022-06-22T00:00:00.000+00:00","authorAffiliation":["Biomathematics and Statistics Scotland","Natural History Museum, London","University of Glasgow"],"authorGivenName":["C.","N.","C.A.","R."],"authorFamilyName":["Harris","Brummitt","Cobbold","Reeve"],"authorFullName":["Harris, C.","Brummitt, N.","Cobbold, C.A.","Reeve, R."],"authorOrcid":["https://orcid.org/0000-0003-0852-2340","https://orcid.org/0000-0003-2589-8091","https://orcid.org/0000-0001-8814-7688"],"catalogue":"eidc","description":"Bioclimatic envelopes for over 200,000 plant species. The data comprises a single csv file, containing the average value of the climate envelope per species for each of the following variables: Minimum temperature (K), Maximum temperature (K), Average temperature (K), Temperature range (K), Soil temperature level 1 (K), Soil temperature level 2 (K), Soil temperature level 3 (K), Soil temperature level 4 (K), Soil water volume level 1 (m^3 / m^3), Soil water volume level 2 (m^3 / m^3), Soil water volume level 3 (m^3 / m^3), Soil water volume level 4 (m^3 / m^3), Solar radiation (J / m^2), Total precipitation (mm).\n\nAlso included is taxonomic information for each species, including the phylum, class, order, family and genus, as well as the number of occurrence records that informed the envelope.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Economic and Social Research Council"],"grant":["NE/T010355/1,  NE/T004193/1","EP/M506539/1"],"identifier":"ca339c86-3674-4030-b891-35326e71141e","incomingCitationCount":0,"givenName":["C.","N.","C.A.","R.","Richard"],"familyName":["Harris","Brummitt","Cobbold","Reeve"],"fullName":["Harris, C.","Brummitt, N.","Cobbold, C.A.","Reeve, R."],"keyword":["Climate and climate change","Plant traits","Bioclimatic envelopes","Global"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["Plant traits","Bioclimatic envelopes","Global"],"licence":"Open government licence","lineage":"These envelopes were extracted using data from the European Centre for Medium-Range Weather Forecasting and Global Biodiversity Information Facility. For each plant occurrence record in the last century we extracted the range of climates it was exposed to at that location, for the preceding year. On the species level, we corrected for bias in global plant sampling using Enhanced Vegetation Index from Modis as a proxy for plant density. \n\nFurther details can be found in our Julia package at https://github.com/boydorr/ClimatePref.jl - the DOI for the latest release is at https://doi.org/10.5281/zenodo.6452065 ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0003-0852-2340","https://orcid.org/0000-0003-2589-8091","https://orcid.org/0000-0001-8814-7688"],"organisation":["Biomathematics and Statistics Scotland","Natural History Museum, London","University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ca339c86-3674-4030-b891-35326e71141e","10.5285/ca339c86-3674-4030-b891-35326e71141e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"state":"published","supplementalDescription":["Package containing code for 'Strong phylogenetic signals in global plant climate envelopes'","Julia package"],"title":"Bioclimatic envelopes for global plant species","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Bioclimatic envelopes for over 200,000 plant species. The data comprises a single csv file, containing the average value of the climate envelope per species for each of the following variables: Minimum temperature (K), Maximum temperature (K), Average temperature (K),..."},{"publicationDate":"2023-07-18T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["A.M.","S.","M.T.","E.","A.L.","J.P.","G.Y.","A.E."],"authorFamilyName":["Brown","White","Corr","Hurst","Grant","Olszewska","Toteva","Pickard"],"authorFullName":["Brown, A.M.","White, S.","Corr, M.T.","Hurst, E.","Grant, A.L.","Olszewska, J.P.","Toteva, G.Y.","Pickard, A.E."],"authorOrcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0009-0002-7245-6747","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0003-4302-1525","https://orcid.org/0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"These data include greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the changes in GHG along the Clyde estuary taking measurements from land to sea  down the estuary on the ebb tide at both the surface and bed so the impact of location, river flow, wastewater treatment outflows and  stratifications can be understood.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S007431/1"],"identifier":"a22b495e-b2cd-43cd-95b7-8712b64dc0da","incomingCitationCount":1,"givenName":["A.M.","S.","M.T.","E.","A.L.","J.P.","G.Y.","Alison","A.E."],"familyName":["Brown","White","Corr","Hurst","Grant","Olszewska","Toteva","Pickard"],"fullName":["Brown, A.M.","White, S.","Corr, M.T.","Hurst, E.","Grant, A.L.","Olszewska, J.P.","Toteva, G.Y.","Brown, A.","Pickard, A.E."],"keyword":["Scotland","Water quality","Nitrous oxide","nitrogen oxides","estuary","nutrient","greenhouse gas","methane"],"keywordsPlace":["Scotland"],"keywordsTheme":["Water quality"],"keywordsOther":["Nitrous oxide","nitrogen oxides","estuary","nutrient","greenhouse gas","methane"],"licence":"Open government licence","lineage":"The field data were collected between September 2021 and May 2022 on the Clyde estuary by power boat by making transects along the Clyde estuary across 8 surveys where data was collected both near the surface and near the bed.   Samples were analysed within the lab at UKCEH Edinburgh as part of an IAPETUS 2 DTP NERC funded PhD.\n\nData were carefully quality controlled to check analytical methods data were correct including cross checking of data from different and methodologies and between surveys.   Any suspect data have been removed.","locations":["POLYGON((-4.58 55.85, -4.58 55.94, -4.25 55.94, -4.25 55.85, -4.58 55.85))"],"orcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0009-0002-7245-6747","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0003-4302-1525","https://orcid.org/0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Glasgow"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a22b495e-b2cd-43cd-95b7-8712b64dc0da","10.5285/a22b495e-b2cd-43cd-95b7-8712b64dc0da"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"state":"published","title":"Physico-chemical water properties and greenhouse gas measurements along a longitudinal estuary transect, Clyde estuary, Scotland, 2020-2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"These data include greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements..."},{"publicationDate":"2024-11-21T00:00:00.000+00:00","authorAffiliation":["University of Glasgow"],"authorGivenName":["D."],"authorFamilyName":["Dominoni"],"authorFullName":["Dominoni, D."],"authorOrcid":["https://orcid.org/0000-0003-2063-9955"],"catalogue":"eidc","description":"This dataset contains measurements of four physiological parameters measured in blood samples collected from zebra finches held in indoor cages over a period of 4 months. We measured four parameters: glucose concentration, non-enzymatic anti-oxidant capacity, lipid peroxidation and relative telomere length. Zebra finches were held in groups separated into three different treatments: a control group where birds were held under natural light-dark cycles, a group where birds were exposed to dim artificial light at night during the entire night (FLAN) and a group where birds where partially exposed to artificial light at night, between dusk and midnight (PLAN). Samples were taken at the start, mid-term, and end of the experiment.","documentType":"GEMINI_DOCUMENT","identifier":"55f10059-82c0-4216-a004-e6d690d628e1","incomingCitationCount":0,"givenName":["D."],"familyName":["Dominoni"],"fullName":["Dominoni, D."],"keyword":["Artificial light at night","birds","telomere length","oxidative stress","glucose","eco-physiology"],"keywordsOther":["Artificial light at night","birds","telomere length","oxidative stress","glucose","eco-physiology"],"licence":"Open government licence","lineage":"After collection, one drop of blood was used to measure glucose concentration via a glucose strip test. The remaining blood was kept on ice, immediately brought to a laboratory, where it was centrifuged to separate red blood cells and plasma. These were transferred into two separate tubes and stored at -80 until further analysis.\nPlasma samples were used to analyse non-enzymatic anti-oxidant capacity using the Oxy-test and a lipid peroxidation marker, MDA, using mass spectrometry (LC-MS). The red blood cells were used to measure relative telomere length using a real-time RT-qPCR assay.\n","orcid":["https://orcid.org/0000-0003-2063-9955"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55f10059-82c0-4216-a004-e6d690d628e1","10.5285/55f10059-82c0-4216-a004-e6d690d628e1"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Blood characteristics of zebra finches following exposure to artificial light at night","version":1.0,"view":["public","glenn"],"shortenedDescription":"This dataset contains measurements of four physiological parameters measured in blood samples collected from zebra finches held in indoor cages over a period of 4 months. We measured four parameters: glucose concentration, non-enzymatic anti-oxidant capacity, lipid..."},{"publicationDate":"2025-03-03T00:00:00.000+00:00","authorAffiliation":["University of South Florida","University of Glasgow","Cary Institute","University of Sydney","University of New South Wales","Cornell University","Wildlife Health Ecology Research Organization"],"authorGivenName":["A.M.","C.L.","A.A.","I.R.","A.J.","P.","M.","B.","R.K.","B.A."],"authorFamilyName":["Kramer","Faust","Castellanos","Fischhoff","Peel","Eby","Ruiz-Aravena","Borremans","Plowright","Han"],"authorFullName":["Kramer, A.M.","Faust, C.L.","Castellanos, A.A.","Fischhoff, I.R.","Peel, A.J.","Eby, P.","Ruiz-Aravena, M.","Borremans, B.","Plowright, R.K.","Han, B.A."],"authorOrcid":["https://orcid.org/0000-0002-9031-6580","https://orcid.org/0000-0002-8824-7424","https://orcid.org/0000-0002-3412-0487","https://orcid.org/0000-0001-6956-8284","https://orcid.org/0000-0003-3538-3550","https://orcid.org/0000-0001-5441-2682","https://orcid.org/0000-0001-8463-7858","https://orcid.org/0000-0002-7779-4107","https://orcid.org/0000-0002-3338-6590","https://orcid.org/0000-0002-9948-3078"],"authorRor":["https://ror.org/032db5x82","https://ror.org/00vtgdb53","https://ror.org/01dhcyx48","https://ror.org/0384j8v12","https://ror.org/03r8z3t63","https://ror.org/05bnh6r87"],"catalogue":"eidc","description":"The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding.\nThe dataset contains predictions of three proxies for host conditions (including food shortage, rehabilitation admissions and formation of a new roost) across eastern Australia in 2008-2019. The Roost Species Distribution Model (SDM) has predictions of roost suitability. These are monthly, spatially explicit predictions of particular conditions or probability of roost occupations. The model objects are iterations of models that were initially trained on data held in figshare (https://figshare.com/s/ddb5a1584609b20f6596).\nThese data objects are linked with code provided at https://github.com/hanlab-ecol/BatOneHealth to be able to run the models and analyses. This includes comparisons of virus predictions of seven different multiscale model structures to observed Hendra virus shedding in field surveys. The purpose of this study was to determine if quantifying and incorporating host condition into epidemiological models improves predictions of virus shedding in space and time. The data objects relate to the 1,000 iterations run of this process to better able to account for uncertainty.","documentType":"GEMINI_DOCUMENT","funder":["U.S. Defense Advanced Research Projects Agency ","U.S. National Science Foundation EEID program ","Natural Environment Research Council","U.S. National Science Foundation CNH","U.S. National Science Foundation Rules of Life"],"grant":["PREEMPT D18AC00031","DEB-1717282","NE/V014730/1","DEB-1716698","EF-2133763","EF-2231624"],"identifier":"93bb37c6-ef86-4386-945d-c1a3d1e2683c","incomingCitationCount":0,"givenName":["A.M.","C.L.","A.A.","I.R.","A.J.","P.","M.","B.","R.K.","B.A."],"familyName":["Kramer","Faust","Castellanos","Fischhoff","Peel","Eby","Ruiz-Aravena","Borremans","Plowright","Han"],"fullName":["Kramer, A.M.","Faust, C.L.","Castellanos, A.A.","Fischhoff, I.R.","Peel, A.J.","Eby, P.","Ruiz-Aravena, M.","Borremans, B.","Plowright, R.K.","Han, B.A."],"keyword":["Australia","black flying fox","virus","Hendra virus","Pteropus"],"keywordsPlace":["Australia"],"keywordsOther":["black flying fox","virus","Hendra virus","Pteropus"],"licence":"Open government licence","lineage":"Each of the data objects (1,000 per component model) is related to training a component model using data sampled with replacement. These data objects are trained on field observations of host conditions (food shortage, rehabilitation admissions or formation of new roost) or locations and occupation of roost by black flying foxes (key Hendra virus host). Model parameters, predictor variables, and training are all described in the supplementary information. Each iteration only differs slightly in the training and testing data due to this resampling with replacement, allowing for slight variation in prediction among the runs. ","locations":["POLYGON((136.492 -44.335, 136.492 -8.836, 154.334 -8.836, 154.334 -44.335, 136.492 -44.335))"],"orcid":["https://orcid.org/0000-0002-9031-6580","https://orcid.org/0000-0002-8824-7424","https://orcid.org/0000-0002-3412-0487","https://orcid.org/0000-0001-6956-8284","https://orcid.org/0000-0003-3538-3550","https://orcid.org/0000-0001-5441-2682","https://orcid.org/0000-0001-8463-7858","https://orcid.org/0000-0002-7779-4107","https://orcid.org/0000-0002-3338-6590","https://orcid.org/0000-0002-9948-3078"],"organisation":["University of South Florida","University of Glasgow","Cary Institute","University of Sydney","University of New South Wales","Cornell University","Wildlife Health Ecology Research Organization","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/93bb37c6-ef86-4386-945d-c1a3d1e2683c","10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/032db5x82","https://ror.org/00vtgdb53","https://ror.org/01dhcyx48","https://ror.org/0384j8v12","https://ror.org/03r8z3t63","https://ror.org/05bnh6r87","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The environmental features that are used as input data to generate the component models are stored on figshare.","Methods are detailed in the preprint.","The code to generate the component models and run multi-scale models can be found on the github repository."],"supplementalName":["Input data to multi-scale model of Hendra virus dynamics","Integrating predictors of host condition into spatiotemporal multi-scale models of virus shedding"," BatOneHealth github repository"],"title":"Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019","version":1.0,"view":["public","elsdhi"],"shortenedDescription":"The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding.\nThe dataset contains predictions of three proxies for host conditions (including..."},{"publicationDate":"2024-08-14T00:00:00.000+00:00","authorAffiliation":["University of Glasgow"],"authorGivenName":["D.M.","P.","C.J."],"authorFamilyName":["Dominoni","Capilla-Lasheras","Branston"],"authorFullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"authorOrcid":["https://orcid.org/0000-0003-2063-9955","https://orcid.org/0000-0001-6091-7089","https://orcid.org/0000-0002-4416-0984"],"authorRor":["https://ror.org/00vtgdb53"],"catalogue":"eidc","description":"This dataset contains information on individual birds caught at nestboxes or via mistnetting at 20 sites along a 35 km urban gradient in Glasgow, Scotland, 2014-2022. For each capture, we recorded the ring number of the individual, morphological parameters, whether samples were obtained and the sample number (blood, feather, faeces). The morphological measurements obtained were: Wing length (total length of the stretched wing, as per BTO guidelines), Weight (to the nearest 0.01 g), Tarsus length (using a caliper with 0.1 cm precision).\nData were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S005773/1"],"identifier":"9982cf52-7144-4877-9e17-1335f14140d8","incomingCitationCount":0,"givenName":["D.M.","P.","C.J."],"familyName":["Dominoni","Capilla-Lasheras","Branston"],"fullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"keyword":["urbanisation","nestbox","blue tit","great tit","reproductive success","productivity"],"keywordsOther":["urbanisation","nestbox","blue tit","great tit","reproductive success","productivity"],"licence":"Open government licence","lineage":"We monitored an approximately 35 kilometre urban-non-urban gradient, with the extremes of the gradient being Glasgow city centre and Loch Lomond National Park, Scotland. This gradient has been monitored annually between 2014 and 2022 and has consisted of between five and twenty sites, depending on the year. \nBlue and great tit nestbox populations were monitored annually from 1st April until 20th June between 2014 and 2022. Productivity was monitored through recording breeding attempts in nestboxes. \nFrom the 1st April, nestboxes were monitored weekly until incubation commenced. The date the first egg was laid and clutch size were recorded. Once incubation was observed to have begun, nestboxes were not checked again until fourteen days after incubation commenced to minimise disturbance. After this point, nestboxes were checked every other day until chicks were observed. Once chicks were observed, between two days and ten days after hatching, an attempt was made to catch the breeding adults on the nest. The adult birds were marked with a unique metal ring, or their ring number noted if they had been ringed in a previous year. Thirteen days after hatching, nests were visited again to individually mark each of the nestlings within the broods using a unique metal ring. \nOpportunistic mist netting was also undertaken outside of the breeding season at both study sites. This supplements the mark-recapture data from catching adults and ringing nestlings at the nestboxes, and also contain data on other passerine species bycatch. The morphological measurements obtained were: Wing length (total length of the stretched wing, as per BTO guidelines), Weight (to the nearest 0.01 g), Tarsus length (using a caliper with 0.1 cm precision).\nAt the end of every year data collected during that year is checked and uploaded on a central long-term Access database that enables linking between reproductive attempts and individual bird information (mark-recapture data), both of which are deposited with the EIDC.\n","locations":["POLYGON((-4.609 55.861, -4.609 56.125, -4.251 56.125, -4.251 55.861, -4.609 55.861))"],"orcid":["https://orcid.org/0000-0003-2063-9955","https://orcid.org/0000-0001-6091-7089","https://orcid.org/0000-0002-4416-0984"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9982cf52-7144-4877-9e17-1335f14140d8","10.5285/9982cf52-7144-4877-9e17-1335f14140d8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"state":"published","title":"Mark-recapture data of individual birds from ringing records, Glasgow, UK, 2014-2022","version":1.0,"view":["public","elsdhi"],"shortenedDescription":"This dataset contains information on individual birds caught at nestboxes or via mistnetting at 20 sites along a 35 km urban gradient in Glasgow, Scotland, 2014-2022. For each capture, we recorded the ring number of the individual, morphological parameters, whether..."},{"publicationDate":"2022-05-24T00:00:00.000+00:00","authorAffiliation":["University of Glasgow"],"authorGivenName":["Y.","L.A.","S.","D.","C."],"authorFamilyName":["Zheng","Naylor","Waldron","Oliver","Gu"],"authorFullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.","Gu, C."],"authorOrcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0002-4358-4531"],"catalogue":"eidc","description":"Data comprise results of social surveys carried out in China during 2016 – 2018 to environmental scientists and the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in Puding County, Guizhou Province, Changwu County, Shaanxi Province, and Yujiang County, Jiangxi Province.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S009140/1"],"identifier":"e674e08c-fbf5-411b-940c-7e31014f0e76","incomingCitationCount":1,"givenName":["Y.","L.A.","S.","D.","C.","Chao"],"familyName":["Zheng","Naylor","Waldron","Oliver","Gu"],"fullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.","Gu, C."],"keyword":["China","Guizhou Province","Jiangxi Province","social survey"],"keywordsPlace":["China","Guizhou Province","Jiangxi Province"],"keywordsOther":["social survey"],"licence":"Open government licence","lineage":"The interviews to Puding farmers and leaders were recorded and transcribed afterwards with their agreement.\nLocal undergrad students and villagers helped with the surveys in Changwu.\nQuestionnaire surveys were conducted to British and Chinese scientists to explore the knowledge management methods used in their environment research.\n","locations":["POLYGON((98.59 22.452, 98.59 32.08, 114.676 32.08, 114.676 22.452, 98.59 22.452))"],"orcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0002-4358-4531"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e674e08c-fbf5-411b-940c-7e31014f0e76","10.5285/e674e08c-fbf5-411b-940c-7e31014f0e76"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"state":"published","title":"Social surveys to environmental scientists and local stakeholders in Chinese villages to understand knowledge management dynamics","version":1.0,"view":["public","shar1"],"shortenedDescription":"Data comprise results of social surveys carried out in China during 2016 – 2018 to environmental scientists and the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted..."},{"publicationDate":"2023-07-28T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","NEIF Radiocarbon Laboratory","University of Edinburgh"],"authorGivenName":["A.M.","M.","L.","A.E."],"authorFamilyName":["Brown","Garnett","Eades","Pickard"],"authorFullName":["Brown, A.M.","Garnett, M.","Eades, L.","Pickard, A.E."],"authorOrcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0001-6486-2126","https://orcid.org/0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90"],"catalogue":"eidc","description":"Greenhouse gas (GHG) concentrations, physio-chemical water properties, metal concentrations and carbon radiogenic and stable isotope data of the GHG were measured to investigate the properties of mine water from legacy coal mines across the Midland Valley, Scotland between June 2022 to September 2022.\nSixteen identified outflows from abandoned coal mines were selected for measurement.  The locations are distributed from Lathallan Mill in the northeast to Kames in the southwest and included mine water outflows from the Fife, Central (Lanarkshire), Lothian and Ayrshire coal fields.  Some of the outflows had treatment systems and others discharged directly into rivers or streams.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S007431/1"],"identifier":"49daf07b-cfbe-48d1-8889-1adafe410a2e","incomingCitationCount":0,"givenName":["A.M.","M.","L.","A.E.","Alison"],"familyName":["Brown","Garnett","Eades","Pickard"],"fullName":["Brown, A.M.","Garnett, M.","Eades, L.","Pickard, A.E.","Brown, A."],"keyword":["Water quality","Mine water","Scotland","Carbon stable and radiogenic isotopes","methane","metal","carbon","coal","carbon dioxide","mine","greenhouse gas"],"keywordsTheme":["Water quality"],"keywordsOther":["Mine water","Scotland","Carbon stable and radiogenic isotopes","methane","metal","carbon","coal","carbon dioxide","mine","greenhouse gas"],"licence":"Open government licence","lineage":"Measurements were made across the 16 selected locations over the period June 2022 to September 2022. Water properties were analysed within the lab at UKCEH Edinburgh, metals were analysed by the University of Edinburgh and radiogenic isotopes of dissolved methane (CH4) and carbon dioxide (CO2) by the National Environmental Isotope Facility (NEIF) Radiocarbon Laboratory.  Data were collected as follows:\n1.\tMine water sources (at the location mine water reaches the surface and is accessible for measurement). This included detailed measurement of carbon stable and radiogenic isotopes of dissolved CH4 and CO2, metal concentrations, GHG (CO2, CH4 and N2O) concentrations, physio-chemical water properties including temperature, pH, conductivity, oxygen, dissolved carbon and nitrogen and a range of ionic species.  \n2.\tMine water treatment effectiveness. This included measurements of mine water throughout the reed pools treatments systems at four of the sixteen sites.  This included two sites using chemical oxidation and two sites using an aeration cascade.  Measurements   included metal concentrations, GHG concentrations and physio-chemical water properties.  Carbon stable and radiogenic carbon isotopes of dissolved CH4 and CO2 were measured in the reed pool to enable comparison with the source.\nData were carefully quality controlled to check analytical methods data were correct including cross checking of data between surveys.   Any suspect data have been removed.\nSamples were collected and analysed as part of an IAPETUS 2 Doctoral Training Programme (DTP) NERC funded PHD.  \n","locations":["POLYGON((-4.4 55.46, -4.4 56.33, -2.79 56.33, -2.79 55.46, -4.4 55.46))"],"orcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0001-6486-2126","https://orcid.org/0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NEIF Radiocarbon Laboratory","University of Edinburgh","NERC EDS Environmental Information Data Centre","University of Glasgow"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/49daf07b-cfbe-48d1-8889-1adafe410a2e","10.5285/49daf07b-cfbe-48d1-8889-1adafe410a2e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow","NEIF Radiocarbon Laboratory"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"state":"published","title":"Greenhouse gas, carbon isotopes, water physio-chemical properties and metal concentrations from mine water outflows in the Midland Valley, Scotland, 2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Greenhouse gas (GHG) concentrations, physio-chemical water properties, metal concentrations and carbon radiogenic and stable isotope data of the GHG were measured to investigate the properties of mine water from legacy coal mines across the Midland Valley, Scotland..."},{"publicationDate":"2018-12-14T00:00:00.000+00:00","authorAffiliation":["University of Glasgow","University of Stirling"],"authorGivenName":["Y. ","L.A","S.","D.M."],"authorFamilyName":["Zheng","Naylor","Waldron","Oliver"],"authorFullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.M."],"authorOrcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59"],"catalogue":"eidc","description":"Survey data on knowledge exchange experience of both Chinese and British scientists working on critical zone and more broadly on geoscience. Data are drawn from questionnaire surveys to explore the knowledge management methods used in their environmental research. Data are anonymised social survey data from questionnaires.\n\nThe data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N007425/1"],"identifier":"71fc5250-727b-42ec-85ba-a45770e464b1","incomingCitationCount":0,"givenName":["Ying","Y. ","L.A","S.","D.M."],"familyName":["Zheng","Naylor","Waldron","Oliver"],"fullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.M."],"keyword":["Puding County","Guizhou","Yujiang County","Jiangxi","CZO","Soil","Environmental survey","Hydrology","Water quality","Ecosystem services","critical zone","knowledge exchange","red soil","karst"],"keywordsPlace":["Puding County","Guizhou","Yujiang County","Jiangxi"],"keywordsProject":["CZO"],"keywordsTheme":["Soil","Environmental survey","Hydrology","Water quality","Ecosystem services"],"keywordsOther":["critical zone","knowledge exchange","red soil","karst"],"licence":"Open government licence","lineage":"Data are anonymised social survey data from questionnaires conducted to Chinese and British scientists in person or online. Scientists were surveyed from two countries to allow the comparison.","orcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X"],"organisation":["University of Glasgow","University of Stirling","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/71fc5250-727b-42ec-85ba-a45770e464b1","10.5285/71fc5250-727b-42ec-85ba-a45770e464b1"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"state":"published","title":"Survey data of scientists on knowledge exchange in critical zone and geoscience","topic":["0/Soil/","0/Environmental survey/","0/Hydrology/","0/Water quality/","0/Ecosystem services/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Survey data on knowledge exchange experience of both Chinese and British scientists working on critical zone and more broadly on geoscience. Data are drawn from questionnaire surveys to explore the knowledge management methods used in their environmental research. Data..."},{"publicationDate":"2021-07-01T00:00:00.000+00:00","authorAffiliation":["University of Glasgow"],"authorGivenName":["J.","B.","F.G."],"authorFamilyName":["Xu","Barrett","Renaud"],"authorFullName":["Xu, J.","Barrett, B.","Renaud, F.G."],"authorOrcid":["https://orcid.org/0000-0003-2949-5353","https://orcid.org/0000-0002-4380-4020","https://orcid.org/0000-0002-0830-1196"],"authorRor":["https://ror.org/00vtgdb53"],"catalogue":"eidc","description":"This dataset includes polygons representing ecosystem types (ET) and their respective ecosystem services (ES) and disservices (EDS) in the Luanhe River Basin, with attributes recording 14 ecosystem types (ET), 11 provisioning services (PS), ten regulating services (RS), five cultural services (CS), 7 Ecological integrity indicators (EI), and 11 ecosystem disservices (EDS).\n","documentType":"GEMINI_DOCUMENT","identifier":"2252d8a4-0ef3-403f-b2c3-3f7acbcac1d5","incomingCitationCount":0,"givenName":["J.","B.","F.G.","Jiren"],"familyName":["Xu","Barrett","Renaud"],"fullName":["Xu, J.","Barrett, B.","Renaud, F.G."],"keyword":["China","Luanhe River Basin","Ecosystem services","Ecosystem disservices","Ecosystem types","Capacity matrix"],"keywordsPlace":["China","Luanhe River Basin"],"keywordsTheme":["Ecosystem services"],"keywordsOther":["Ecosystem disservices","Ecosystem types","Capacity matrix"],"licence":"Open government licence","lineage":"ET in the LRB was derived from China’s National Land Use and Cover Change (CNLUCC) dataset produced by the Resources and Environmental Sciences Data Center of the Chinese Academy of Sciences. The ecosystem services capacity matrix was then filled by 25 experts with extensive theoretical and practical knowledge of the local environment and/or ES were engaged in the research. ES and EDS scores were ranked from 0 to 5 to express the capacity of an ET to provide a specific ES/EDS. In addition to each ES/EDS score, the experts were asked to give a confidence index in their score for each ES/EDS and each ET from 1 to 3. This confidence index was used to estimate expert confidence in providing the capacity score.","locations":["POLYGON((115 39, 115 42, 119 42, 119 39, 115 39))"],"orcid":["https://orcid.org/0000-0003-2949-5353","https://orcid.org/0000-0002-4380-4020","https://orcid.org/0000-0002-0830-1196"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2252d8a4-0ef3-403f-b2c3-3f7acbcac1d5","10.5285/2252d8a4-0ef3-403f-b2c3-3f7acbcac1d5"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"state":"published","title":"Ecosystem types and their respective ecosystem services (ES) and disservices (EDS) in the Luanhe River Basin, China","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset includes polygons representing ecosystem types (ET) and their respective ecosystem services (ES) and disservices (EDS) in the Luanhe River Basin, with attributes recording 14 ecosystem types (ET), 11 provisioning services (PS), ten regulating services (RS),..."},{"publicationDate":"2018-11-16T00:00:00.000+00:00","authorAffiliation":["University of Glasgow","University of Stirling"],"authorGivenName":["Y.","L.A.","S.","D.M."],"authorFamilyName":["Zheng","Naylor","Waldron","Oliver"],"authorFullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.M."],"authorOrcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59"],"catalogue":"eidc","description":"Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus .  Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication during the searched years for each country (top 20), in Scopus, the total amount of KM publication during the searched years for each country (top 20), information about the retained KM publication for environmental management in China.\n\nThe data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N007425/1"],"identifier":"9bbcbd03-0b6d-409d-9ad1-650c25f5ac73","incomingCitationCount":0,"givenName":["Ying","Y.","L.A.","S.","D.M."],"familyName":["Zheng","Naylor","Waldron","Oliver"],"fullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.M."],"keyword":["CZO","Ecosystem services","Hydrology","Water quality","Soil","critical zone","red soil","knowledge exchange","karst","soil","literature study"],"keywordsProject":["CZO"],"keywordsTheme":["Ecosystem services","Hydrology","Water quality","Soil"],"keywordsOther":["critical zone","red soil","knowledge exchange","karst","soil","literature study"],"licence":"Open government licence","lineage":"\nA reverse search of the retrained articles was conducted to search the reference list of the retained studies, but none included any of the keywords in our criteria. Finally, the retrieved articles were read and analysed to determine which fields of environmental management had published on their KE practice in China by December 2017.","locations":["POLYGON((73.442 17.682, 73.442 53.664, 135.538 53.664, 135.538 17.682, 73.442 17.682))"],"orcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X"],"organisation":["University of Glasgow","University of Stirling","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73","10.5285/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"state":"published","title":"Literature review of knowledge management across the environment-policy interface in China","topic":["0/Ecosystem services/","0/Hydrology/","0/Water quality/","0/Soil/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus .  Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication..."},{"publicationDate":"2023-09-29T00:00:00.000+00:00","authorAffiliation":["University of Glasgow","Holar University","University of Aberdeen","University of Nottingham"],"authorGivenName":["K.","B.","S.","N.","A.","J.","I.","G.","C."],"authorFamilyName":["Parsons","Kristjansson","Skulason","Pilakouta","Costa","Smith","Metcalfe","Killen","Lindstrom","Hill","Lawson-Duck","Stansfield"],"authorFullName":["Parsons, K.","Kristjansson, B.","Skulason, S.","Pilakouta, N.","Costa, A.","Smith, B.","Metcalfe, N.","Killen, S.","Lindstrom, J.","Hill, I.","Lawson-Duck, G.","Stansfield, C."],"authorOrcid":["https://orcid.org/0000-0003-3355-3587","https://orcid.org/0000-0001-6984-5771","https://orcid.org/0000-0001-8503-520X","https://orcid.org/0000-0002-1970-9349","https://orcid.org/0000-0003-4949-3988"],"catalogue":"eidc","description":"The data contain measurements of the morphological shape of threespine stickleback from wild, F1 (filial generation 1) lab-reared, and F2-lab (filial generation 2) reared individuals. These last two groups were bred and reared from eggs in the lab. The files are in tps format and so within these contain the information regarding the population, rearing temperature, and scale factor for each specimen. The populations used are coded in a short form format but we also provide a key to decipher these names in csv format. Photos are also made available with corresponding tps files for F2 hybrid fish.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N016734/1"],"identifier":"a566fc20-a371-42a2-8530-9a3cade09261","incomingCitationCount":0,"givenName":["K.","B.","S.","N.","A.","J.","I.","G.","C."],"familyName":["Parsons","Kristjansson","Skulason","Pilakouta","Costa","Smith","Metcalfe","Killen","Lindstrom","Hill","Lawson-Duck","Stansfield"],"fullName":["Parsons, K.","Kristjansson, B.","Skulason, S.","Pilakouta, N.","Costa, A.","Smith, B.","Metcalfe, N.","Killen, S.","Lindstrom, J.","Hill, I.","Lawson-Duck, G.","Stansfield, C."],"keyword":["Iceland","landmarks","geometric morphometrics","Stickleback","climate change"],"keywordsPlace":["Iceland"],"keywordsOther":["landmarks","geometric morphometrics","Stickleback","climate change"],"licence":"Open government licence","lineage":"Data are derived from wild-caught fish and their F1 and F2 lineages. The wild fish were photographed and landmarks were collected manually using the software tpsDig2. The tps format is open, and is standard within morphometrics and used within a number of packages. \nAll landmarks have been checked for consistency across samples. ","locations":["POLYGON((-25 63, -25 67.509, -12.964 67.509, -12.964 63, -25 63))"],"orcid":["https://orcid.org/0000-0003-3355-3587","https://orcid.org/0000-0001-6984-5771","https://orcid.org/0000-0001-8503-520X","https://orcid.org/0000-0002-1970-9349","https://orcid.org/0000-0003-4949-3988"],"organisation":["University of Glasgow","Holar University","University of Aberdeen","University of Nottingham","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a566fc20-a371-42a2-8530-9a3cade09261","10.5285/a566fc20-a371-42a2-8530-9a3cade09261"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Morphological data from wild and lab-reared threespine sticklebacks from Icelandic geothermal and ambient sites","version":1.0,"view":["public","matnic"],"shortenedDescription":"The data contain measurements of the morphological shape of threespine stickleback from wild, F1 (filial generation 1) lab-reared, and F2-lab (filial generation 2) reared individuals. These last two groups were bred and reared from eggs in the lab. The files are in..."},{"publicationDate":"2024-08-06T00:00:00.000+00:00","authorAffiliation":["University of Glasgow"],"authorGivenName":["D.M.","P.","C.J."],"authorFamilyName":["Dominoni","Capilla-Lasheras","Branston"],"authorFullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"authorOrcid":["https://orcid.org/0000-0003-2063-9955","https://orcid.org/0000-0001-6091-7089","https://orcid.org/0000-0002-4416-0984"],"authorRor":["https://ror.org/00vtgdb53"],"catalogue":"eidc","description":"This dataset contains information on activity parameters obtained from automated radiotelemetry data collected on individual birds of six passerine species (European robin, Eurasian blackbird, great tit, blue tit, dunnock, common chaffinch). Birds were caught via mistnetting at 4 sites along a 35 km urban gradient in Glasgow, Scotland, in autumn and winter of two years: 2020 and 2021. Once tagged, each bird was monitored for approximately 3-4 weeks. Raw telemetry data was processed and analysed in order to extract activity traits. The activity traits were: onset of morning activity, end of evening activity, total amount of daily activity.\nData were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S005773/1"],"identifier":"1b55a4eb-30be-4bd1-9144-cb7f8ba83b4e","incomingCitationCount":0,"givenName":["D.M.","P.","C.J."],"familyName":["Dominoni","Capilla-Lasheras","Branston"],"fullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"keyword":["urbanisation","blue tit","great tit","reproductive success","productivity","radiotelemetry"],"keywordsOther":["urbanisation","blue tit","great tit","reproductive success","productivity","radiotelemetry"],"licence":"Open government licence","lineage":"To estimate the timing of activity and levels of activity in free-living birds, we used radio telemetry technology. Using mistnets, we caught, individually marked with a metal ring and radio tagged (details below) individuals of six passerine species (European robin, Eurasian blackbird, great tit, blue tit, dunnock, common chaffinch). They were caught during February-April (hereafter ‘pre-breeding phase’) and September-November (hereafter ‘post-breeding phase’) in 2020 and 2021 in two urban and two non-urban (forest) locations. The urban sites were located within the boundaries of Glasgow city (Kelvingrove Park and Garscube Campus). The non-urban forest sites were located in the surroundings of the Scottish Centre for Ecology and the Environment (‘SCENE’), approximately 45 kilometres north of Glasgow, on the eastern shore of Loch Lomond (SCENE and Sallochy forest). At the end of each year, the data collected during that year were checked and uploaded on a central database.\nIn each site, we installed two to four automatic radio receivers which were set to scan each tag every 180 seconds. Whenever a tag was detected, the receiver recorded a date and time stamp, and the radio signal strength (dB). \nThe raw data from the receivers was processed and analysed in R. The radio telemetry system generated a 3-min interval time series of radio detections per bird (i.e., tag) and per receiver. We calculated the absolute difference in radio signal strength between consecutive time intervals (hereafter termed ‘signal differential’) per receiver and per bird. We then averaged this value across the receivers per site.\nWe estimated daily onset and end of activity assuming that variation in signal differentials is low during inactive phases and high during times of bird activity. We then seek to identify the point of clearest change between the active and inactive state. We applied several quality control steps and used the agreement in estimates of daily onset and end of activity between two employed methods to assess the quality of our dataset for downstream analysis. We used fixed time windows to quantify activity levels to avoid biases introduced by seasonal changes in day length and individual times of onset and end of activity.\n","locations":["POLYGON((-4.609 55.861, -4.609 56.125, -4.251 56.125, -4.251 55.861, -4.609 55.861))"],"orcid":["https://orcid.org/0000-0003-2063-9955","https://orcid.org/0000-0001-6091-7089","https://orcid.org/0000-0002-4416-0984"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1b55a4eb-30be-4bd1-9144-cb7f8ba83b4e","10.5285/1b55a4eb-30be-4bd1-9144-cb7f8ba83b4e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"state":"published","title":"Bird activity (amount, onset and offset) data recorded in the field using automated radio telemetry, Glasgow, UK, 2020-2021","version":1.0,"view":["public","elsdhi"],"shortenedDescription":"This dataset contains information on activity parameters obtained from automated radiotelemetry data collected on individual birds of six passerine species (European robin, Eurasian blackbird, great tit, blue tit, dunnock, common chaffinch). Birds were caught via mistnetting..."},{"publicationDate":"2024-08-06T00:00:00.000+00:00","authorAffiliation":["University of Glasgow"],"authorGivenName":["D.M.","P.","C.J."],"authorFamilyName":["Dominoni","Capilla-Lasheras","Branston"],"authorFullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"authorOrcid":["https://orcid.org/0000-0003-2063-9955","https://orcid.org/0000-0001-6091-7089","https://orcid.org/0000-0002-4416-0984"],"authorRor":["https://ror.org/00vtgdb53"],"catalogue":"eidc","description":"This dataset contains information on reproductive events of blue and great tits recorded by manually inspecting approximately 300 to 500 nestboxes annually along a 35 km urban gradient in and around Glasgow, Scotland from 2014 to 2022. The datasets contain annually aggregated values per nestbox on clutch initiation, clutch size, number of hatchlings and fledglings. \nData were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S005773/1"],"identifier":"bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0","incomingCitationCount":0,"givenName":["D.M.","P.","C.J."],"familyName":["Dominoni","Capilla-Lasheras","Branston"],"fullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"keyword":["urbanisation","nestbox","blue tit","great tit","reproductive success","productivity"],"keywordsOther":["urbanisation","nestbox","blue tit","great tit","reproductive success","productivity"],"licence":"Open government licence","lineage":"We monitored an approximately 35 kilometre urban-non-urban gradient, with the extremes of the gradient being Glasgow city centre and Loch Lomond National Park, Scotland. This gradient has been monitored annually between 2014 and 2022 and has consisted of between five and twenty sites, depending on the year. \nNestboxes were installed at all sites, approximately 50 metres from each other, with the number of nestboxes per site ranging from 5 to 161 dependent on the size of the site and the year of monitoring. During the breeding season (April – June) the nestboxes were monitored weekly through the nest-building and incubation stages. For each nestbox occupied by blue tits and great tits the first egg laying date was either directly observed in the field, or back calculated if the nest was found during egg laying but before incubation commenced, assuming one egg was laid per day. Clutch size was recorded as the maximum number of eggs observed during incubation. Fourteen days after incubation commenced nestboxes were checked every other day until chicks were observed. Thirteen days after hatching, chicks were marked with a unique metal ring. Nests were not checked again until at least 20 days after hatching to prevent premature fledging. At this final check, any dead chicks remaining in the nestbox were recorded and subtracted from the total number of chicks recorded alive 13 days after hatching to give the number of chicks that successfully fledged. \nAt the end of every year data collected during that year was checked and uploaded on a central Access database. This database enables linking between datasets on reproductive attempts and individual bird information (mark-recapture data), both of which are deposited with the EIDC.\n","locations":["POLYGON((-4.609 55.861, -4.609 56.125, -4.251 56.125, -4.251 55.861, -4.609 55.861))"],"orcid":["https://orcid.org/0000-0003-2063-9955","https://orcid.org/0000-0001-6091-7089","https://orcid.org/0000-0002-4416-0984"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0","10.5285/bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"state":"published","title":"Reproductive life-history data of blue and great tits from nestbox monitoring, Glasgow, UK, 2014-2022","version":1.0,"view":["public","elsdhi"],"shortenedDescription":"This dataset contains information on reproductive events of blue and great tits recorded by manually inspecting approximately 300 to 500 nestboxes annually along a 35 km urban gradient in and around Glasgow, Scotland from 2014 to 2022. The datasets contain annually..."},{"publicationDate":"2023-07-18T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["A.M.","A.E."],"authorFamilyName":["Brown","Pickard"],"authorFullName":["Brown, A.M.","Pickard, A.E."],"authorOrcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the changes in GHG from a single point in the middle of the estuary (Breahead pontoon) through a tidal cycle at both the surface and bed so the impact of tidal river flow and stratification can be understood.\n\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S007431/1"],"identifier":"7f5b221e-d251-4bac-9252-16b4553dc345","incomingCitationCount":1,"givenName":["A.M.","A.E.","Alison"],"familyName":["Brown","Pickard"],"fullName":["Brown, A.M.","Pickard, A.E.","Brown, A."],"keyword":["Scotland","Water quality","greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"keywordsPlace":["Scotland"],"keywordsTheme":["Water quality"],"keywordsOther":["greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"licence":"Open government licence","lineage":"The field data were collected between Aug 2020 and May 2022 on the Clyde estuary from the Breahead ponton across 7 surveys where data was measured through a tidal cycle and where data was collected both near the surface and near the bed on the Clyde estuary in Scotland.   Samples were analysed within the lab at UKCEH Edinburgh as part of an IAPETUS 2 DTP NERC funded PHD.  \nData were carefully quality controlled to check analytical methods data were correct including cross checking of data from different and methodologies and between surveys.   Any suspect data have been removed.\n","locations":["POLYGON((-4.4 55.8, -4.4 55.9, -4.3 55.9, -4.3 55.8, -4.4 55.8))"],"orcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Glasgow"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f5b221e-d251-4bac-9252-16b4553dc345","10.5285/7f5b221e-d251-4bac-9252-16b4553dc345"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"state":"published","title":"Physico-chemical water properties and greenhouse gas measurements across a tidal cycle, Clyde estuary, Scotland, 2020-2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the..."},{"publicationDate":"2024-01-23T00:00:00.000+00:00","authorAffiliation":["School of Geographical and Earth Sciences, University of Glasgow","Department of Civil and Environmental Engineering, Brunel University London","National Institute of Geological Sciences, University of the Philippines","Department of Geography & Regional Research, University of Vienna"],"authorGivenName":["R.J.","R.D.","T.B.","C.","P.L.M.","L. ","E.L.","J.C.M.","C.J.","J.E.G.","C.P.C."],"authorFamilyName":["Boothroyd","Williams","Hoey","MacDonell","Tolentino","Quick","Guardian","Reyes","Sabillo","Perez","David"],"authorFullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","MacDonell, C.","Tolentino, P.L.M.","Quick, L.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Perez, J.E.G.","David, C.P.C."],"authorOrcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-5516-5078","https://orcid.org/0000-0002-1803-9734"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77"],"catalogue":"eidc","description":"This dataset contains a national-scale geodatabase of stream network and river catchment characteristics in the Philippines. It presents detailed information on 128 medium- to large-sized catchments (catchment area > 250 km2). The quantitative descriptions provide context for enabling geomorphologically-informed sustainable river management. The geodatabase provides a baseline understanding of fundamental topographic characteristics in support of varied geomorphological, hydrological and geohazard susceptibility applications.\n\nData sets include:\n 1) GIS shapefiles with river catchment properties;\n 2) GIS shapefiles with stream network properties;\n 3) spreadsheets containing morphometric and topographic characteristics (n = 91);\n 4) example MATLAB code and topographic data to replicate the analysis for a selected catchment.\n\nThe work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312/1.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S003312/1"],"identifier":"49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","incomingCitationCount":0,"givenName":["R.J.","R.D.","T.B.","C.","P.L.M.","L. 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National-scale geodatabase of catchment characteristics in the Philippines for river management applications. PLOS ONE. 18(3): e0281933.","An interactive version of the catchment geodatabase."],"title":"National-scale geodatabase of catchment characteristics in the Philippines","topic":["0/Hydrology/"],"version":1.0,"view":["public","rafbar"],"shortenedDescription":"This dataset contains a national-scale geodatabase of stream network and river catchment characteristics in the Philippines. It presents detailed information on 128 medium- to large-sized catchments (catchment area > 250 km2). The quantitative descriptions provide context..."},{"publicationDate":"2024-07-25T00:00:00.000+00:00","authorAffiliation":["University of Glasgow"],"authorGivenName":["K."],"authorFamilyName":["Parsons"],"authorFullName":["Parsons, K."],"authorOrcid":["https://orcid.org/0000-0003-3355-3587"],"catalogue":"eidc","description":"Data contain measurements of physiological variation in threespine stickleback from Icelandic populations.\nThe data includes metabolic rates measured on individual stickleback fish across three temperatures (Metabolism.csv), inter-individual variation in distances between individuals under different temperature treatments using fish from a geothermal and ambient population (Sociability.csv), and the time individuals spent under different temperatures on their own (TemperaturePreference.csv).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N016734/1"],"identifier":"1c9cd70f-d0b8-49a7-a5d2-ba473a220e3e","incomingCitationCount":0,"givenName":["K."],"familyName":["Parsons"],"fullName":["Parsons, K."],"keyword":["Animal behaviour","Sociability","Thermal preference","Phenotypic plasticity","fish","Metabolic rate"],"keywordsTheme":["Animal behaviour"],"keywordsOther":["Sociability","Thermal preference","Phenotypic plasticity","fish","Metabolic rate"],"licence":"Open government licence","lineage":"The data for metabolism came through assays of oxygen consumption within an enclosed chamber (Metabolism.csv). The data for sociability came from software used to obtain measures of distance of individuals (Sociability.csv). The temperature preference data came from an experimental set up which tracked movements of individuals automatically in temperature-controlled tanks (TemperaturePreference.csv).","locations":["POLYGON((-25 63, -25 67.509, -12.964 67.509, -12.964 63, -25 63))"],"orcid":["https://orcid.org/0000-0003-3355-3587"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c9cd70f-d0b8-49a7-a5d2-ba473a220e3e","10.5285/1c9cd70f-d0b8-49a7-a5d2-ba473a220e3e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Physiological variation in wild and lab-reared threespine sticklebacks from Icelandic geothermal and ambient sites","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"Data contain measurements of physiological variation in threespine stickleback from Icelandic populations.\nThe data includes metabolic rates measured on individual stickleback fish across three temperatures (Metabolism.csv), inter-individual variation in distances between..."},{"publicationDate":"2020-12-17T00:00:00.000+00:00","authorAffiliation":["University of Glasgow","Brunel University London","University of the Philippines","University of North Carolina"],"authorGivenName":["R.J.","R.D.","T.B.","P.L.M.","X."],"authorFamilyName":["Boothroyd","Williams","Hoey","Tolentino","Yang"],"authorFullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","Tolentino, P.L.M.","Yang, X."],"authorOrcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/03tbh6y23"],"catalogue":"eidc","description":"The data set contains the Philippines bridge inventory, river migration geodatabase and source code to assess active river channel change (i.e. planform adjustments) using Landsat 5, 7 and 8 products in Google Earth Engine. The data set contains hydro-morphological and bridge characteristics for 74 bridges (> 200 m deck length) in the Philippines from 1988 to 2019 and is available in .csv and .shp format.  For a given region of interest (ROI), the code will extract active river channel masks, calculate similarity coefficients between active river channel masks at decadal intervals and calculate active widths and centreline statistics. The code was used by Boothroyd et al. (in press) to investigate decadal river migration at critical bridge infrastructure in the Philippines.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S003312/1"],"identifier":"2efd24f9-e745-4f54-8bbd-6439b0ad93e5","incomingCitationCount":1,"givenName":["Richard","R.J.","R.D.","T.B.","P.L.M.","X."],"familyName":["Boothroyd","Williams","Hoey","Tolentino","Yang"],"fullName":["Boothroyd, R.","Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","Tolentino, P.L.M.","Yang, X."],"keyword":["Philippines","Mapping","Fluvial geomorphology","river migration","Jaccard index","Dice similarity coefficient","RivWidthCloud","stream network characteristics","bridge","river channelling","river","geomorphology"],"keywordsPlace":["Philippines"],"keywordsTheme":["Mapping"],"keywordsOther":["Fluvial geomorphology","river migration","Jaccard index","Dice similarity coefficient","RivWidthCloud","stream network characteristics","bridge","river channelling","river","geomorphology"],"licence":"Open government licence","lineage":"Bridge characteristics were derived from a geospatial database of Philippine bridges retrieved in April 2020 from the Detailed Bridge Inventory Application (DPWH, 2020). The database was filtered to include only permanent bridges where the bridge deck length was equal to or greater than 200 m (n = 256). A visual inspection was performed to ensure that bridges were located at contemporary river crossings (n = 182) and only those bridges where the active river channel width exceeded 150 m (equivalent to five Landsat pixels) were retained for analysis (n = 74).\n\nStream network and geomorphology characteristics were derived from a nationwide digital elevation model (DEM) acquired in 2013 and generated through airborne Interferometric Synthetic Aperture Radar, with a 5 m spatial resolution and 1 m root-mean-square error vertical accuracy (Grafil and Castro, 2014) was used for topographic analysis and extraction of the stream network.\n\nGoogle Earth Engine (GEE) was used to extract active river channel masks from Landsat 5, 7 and 8 satellite imagery. The workflow contained three main processing steps: (i) cloud masking and temporal compositing; (ii) active river channel classification; and, (iii) cleaning and image export.","locations":["POLYGON((116.191 4.303, 116.191 21.371, 127.617 21.371, 127.617 4.303, 116.191 4.303))"],"orcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218"],"organisation":["University of Glasgow","Brunel University London","University of the Philippines","University of North Carolina","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2efd24f9-e745-4f54-8bbd-6439b0ad93e5","10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/03tbh6y23","https://ror.org/04xw4m193"],"state":"published","title":"River channel migration and characteristics from 1988 to 2019 at 74 bridges in the Philippines","topic":["0/Mapping/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"The data set contains the Philippines bridge inventory, river migration geodatabase and source code to assess active river channel change (i.e. planform adjustments) using Landsat 5, 7 and 8 products in Google Earth Engine. 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The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future.\n\nThe map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. The land system classification is based on three main classification factors: (1) land use and cover, (2) livestock, and (3) agricultural intensity.\n\nThe data was funded by UK Research and Innovation (UKRI) through the Natural Environment Research Council’s (NERC) Towards a Sustainable Earth (TaSE) programme, for the project \"River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales\" (Grant no. NE/S012427/1) .","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S012427/1"],"identifier":"a94640dc-fe21-4c38-936b-d62dfca0c952","incomingCitationCount":0,"givenName":["J.","F.G.","B.","Jiren"],"familyName":["Xu","Renaud","Barrett"],"fullName":["Xu, J.","Renaud, F.G.","Barrett, B."],"keyword":["China","Towards a Sustainable Earth (TaSE)","Land use","Cropland","CLUMondo","Luanhe River Basin","cropland management","grassland","urban area","forest","land use","land cover"],"keywordsPlace":["China"],"keywordsProject":["Towards a Sustainable Earth (TaSE)"],"keywordsTheme":["Land use"],"keywordsOther":["Cropland","CLUMondo","Luanhe River Basin","cropland management","grassland","urban area","forest","land use","land cover"],"licence":"Open government licence","lineage":"The map was developed based on three steps:\nFirst, land systems of the Luanhe River Basin (LRB) in the years 2000 and 2015 were mapped by integrating different datasets related to human-environment attributes. Then, the relationship between the land systems and local explanatory factors was calculated for the initial year (2000). \nSecond, the CLUMondo model was parameterised and calibrated based on the 2015 land systems map.\nFinally, changes in the land systems from 2015 to 2030 were simulated under different scenarios, including alternative sets of demands for commodities and services and represented different pathways on managing LRB’s land resources.","locations":["POLYGON((115 39, 115 42, 119 42, 119 39, 115 39))"],"orcid":["https://orcid.org/0000-0003-2949-5353","https://orcid.org/0000-0002-0830-1196","https://orcid.org/0000-0002-4380-4020"],"organisation":["School of Interdisciplinary Studies, University of Glasgow","School of Geographical & Earth Sciences, University of Glasgow","NERC EDS Environmental Information Data Centre","University of Glasgow"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a94640dc-fe21-4c38-936b-d62dfca0c952","10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"state":"published","title":" Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model","topic":["0/Land use/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. 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Water quality sensors were calibrated against standard solutions for pH and conductivity. Dissolved organic carbon (DOC) data was calibrated against data analysed on a Thermolox(TM) TOC analyser. 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