{"numFound":140,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FEnvironmental+survey%2F&facet=funder%7CNatural+Environment+Research+Council&facet=topic%7C0%2FEnvironmental+risk%2F&facet=resourceStatus%7CAvailable&facet=recordType%7CDataset","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FEnvironmental+survey%2F&facet=funder%7CNatural+Environment+Research+Council&facet=topic%7C0%2FEnvironmental+risk%2F&facet=resourceStatus%7CAvailable&facet=recordType%7CDataset","results":[{"publicationDate":"2018-12-14T00:00:00.000+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":"2019-11-28T00:00:00.000+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"],"authorRor":["https://ror.org/030mwrt98","https://ror.org/013meh722"],"catalogue":"eidc","description":"Data comprise mealworm predation rates measured after 24 hours exposure to invertebrates in mature oil palm (2014), 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). 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 dataset only) were replanted in 2014. Plots were organised in triplets and in 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. Freshly-killed mealworms (larvae of darkling beetles, Tenebrionidae sp.) were glued onto oil palm fronds trimmed so that ca. 10 cm of each of six leaflets remained. Exclusion and stratum treatments in factorial combinations were applied: caged and uncaged, canopy and ground. The cage exclusion treatments were designed so that most invertebrates could access the fronds but vertebrates could not.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":[" NE/P00458X/1"],"identifier":"03d36ac4-4cf4-46d9-a608-866ba0aab458","incomingCitationCount":0,"givenName":["E.C.","A.E.","S.H.","A.D."],"familyName":["Turner","Eycott","Luke","Advento"],"fullName":["Turner, E.C.","Eycott, A.E.","Luke, S.H.","Advento, A.D."],"keyword":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)","Environmental survey","mealworm","oil palm "],"keywordsProject":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"keywordsTheme":["Environmental survey"],"keywordsOther":["mealworm","oil palm "],"licence":"Open government licence","lineage":"Predation was measured three times in mature oil palm 2014 and six times in both mature and replanted oil palm during 2016-2017. The basic unit for the predation tests was six freshly-killed mealworms (larvae of darkling beetles, Tenebrionidae sp.) glued onto a piece of oil palm frond which had been trimmed so that ca. 10 cm of each of six leaflets remained. Exclusion and stratum treatments were applied in factorial combinations: caged and uncaged, canopy and ground. The cage exclusion treatment was designed such that most invertebrates could access the fronds but vertebrates could not: rat traps held closed with one frond unit inside and one tied to the outside as a control. The traps were metal grid boxes approximately 35 x 20 x 14 cm, with no holes wider than 1cm. One was hoisted into the palm crown while the other was placed at the edge of the harvesting circle under the same palm, to test whether predation rates varied with vertical stratum. Three sets of treatment combinations were placed in each plot, using palms selected by random-number generator. Samples were placed out in the field for approximately 24 hours before being assessed. Basic data checks were carried out (checks for impossible values, such as 11 of 10 seeds remaining). We have error-checked 50% of the data entry against the original field sheets, finding an acceptable error rate of <1% and correcting errors when we encountered them. All changes were recorded and that information remains with the dataset.","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"orcid":["https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0002-8335-5960"],"organisation":["University of Cambridge","Nord University","SMART Research Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/03d36ac4-4cf4-46d9-a608-866ba0aab458","10.5285/03d36ac4-4cf4-46d9-a608-866ba0aab458"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/013meh722","https://ror.org/030mwrt98","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme website"],"title":"Mealworm predation rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise mealworm predation rates measured after 24 hours exposure to invertebrates in mature oil palm (2014), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function..."},{"publicationDate":"2023-11-09T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["L.","S.","J.","C.","M.","N.","E.","B.A.","R.A.","A.","P.A.","P.O.","A.M.","I.","D.W.","M.G.","H.","R.J.","R.L.","P.","F.","S.M.","B.","C.M.","D.A."],"authorFamilyName":["Bentley","Reinsch","Alison","Andrews","Brentegani","Chetiu","Dart","Dhiedt","Emmett","Fitos","Garbutt","Gray","Henrys","Hunt","Keenan","Keith","Koblizek","Lebron","Millani Lopes Mazzetto","Pallett","Pereira","Pinder","Risser","Rose","Rowe","Scarlett","Seaton","Smart","Towill","Wagner","Williams","Wood","Robinson"],"authorFullName":["Bentley, L.","Reinsch, S.","Alison, J.","Andrews, C.","Brentegani, M.","Chetiu, N.","Dart, S.","Dhiedt, E.","Emmett, B.A.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Hunt, A.","Keenan, P.O.","Keith, A.M.","Koblizek, E.","Lebron, I.","Millani Lopes Mazzetto, J.","Pallett, D.W.","Pereira, M.G.","Pinder, A.","Risser, H.","Rose, R.J.","Rowe, R.L.","Scarlett, P.","Seaton, F.","Smart, S.M.","Towill, J.","Wagner, M.","Williams, B.","Wood, C.M.","Robinson, D.A."],"authorOrcid":["https://orcid.org/0000-0001-5055-7673","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-6787-6192","https://orcid.org/0000-0003-2575-6800","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0002-2022-7451","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of measurements of topsoil (0-15 cm) physico-chemical properties from soils sampled from the first 106 1-km squares across Great Britain in 2018 and 2019 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration.\n\nThe UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"821325f3-b353-4a51-8db2-6b2200d82aca","incomingCitationCount":0,"givenName":["L.","S.","J.","C.","M.","N.","E.","B.A.","R.A.","A.","P.A.","P.O.","A.M.","I.","D.W.","M.G.","H.","R.J.","R.L.","P.","F.","S.M.","B.","C.M.","D.A."],"familyName":["Bentley","Reinsch","Alison","Andrews","Brentegani","Chetiu","Dart","Dhiedt","Emmett","Fitos","Garbutt","Gray","Henrys","Hunt","Keenan","Keith","Koblizek","Lebron","Millani Lopes Mazzetto","Pallett","Pereira","Pinder","Risser","Rose","Rowe","Scarlett","Seaton","Smart","Towill","Wagner","Williams","Wood","Robinson"],"fullName":["Bentley, L.","Reinsch, S.","Alison, J.","Andrews, C.","Brentegani, M.","Chetiu, N.","Dart, S.","Dhiedt, E.","Emmett, B.A.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Hunt, A.","Keenan, P.O.","Keith, A.M.","Koblizek, E.","Lebron, I.","Millani Lopes Mazzetto, J.","Pallett, D.W.","Pereira, M.G.","Pinder, A.","Risser, H.","Rose, R.J.","Rowe, R.L.","Scarlett, P.","Seaton, F.","Smart, S.M.","Towill, J.","Wagner, M.","Williams, B.","Wood, C.M.","Robinson, D.A."],"keyword":["Environmental survey","Soil","derived carbon concentration","electrical conductivity","fine earth volumetric water content","Great Britain","Olsen-phosphorous","SOC","soil bulk density of fine earth","soil nitrogen","soil organic matter","soil pH","total soil organic carbon","UK-SCAPE"],"keywordsTheme":["Environmental survey","Soil"],"keywordsOther":["derived carbon concentration","electrical conductivity","fine earth volumetric water content","Great Britain","Olsen-phosphorous","SOC","soil bulk density of fine earth","soil nitrogen","soil organic matter","soil pH","total soil organic carbon","UK-SCAPE"],"licence":"Open government licence","lineage":"Within each of 106 x 1-km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15 cm long, from a location co-incident with vegetation surveys.\n\nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0001-5055-7673","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-6787-6192","https://orcid.org/0000-0003-2575-6800","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0002-2022-7451","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/821325f3-b353-4a51-8db2-6b2200d82aca","10.5285/821325f3-b353-4a51-8db2-6b2200d82aca"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2018-2019","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset consists of measurements of topsoil (0-15 cm) physico-chemical properties from soils sampled from the first 106 1-km squares across Great Britain in 2018 and 2019 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every..."},{"publicationDate":"2020-04-21T00:00:00.000+00:00","authorAffiliation":["Heriot-Watt University"],"authorGivenName":["A.","S.","L.","A.J."],"authorFamilyName":["Visser-Quinn","Ncube","Beevers","Adeloye"],"authorFullName":["Visser-Quinn, A.","Ncube, S.","Beevers, L.","Adeloye, A.J."],"authorOrcid":["https://orcid.org/0000-0003-1787-6239","https://orcid.org/0000-0001-6930-9135","https://orcid.org/0000-0002-1597-273X","https://orcid.org/0000-0002-2820-4596"],"authorRor":["https://ror.org/04mghma93"],"catalogue":"eidc","description":"Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included are site location information (latitude and longitude).\n\nThe data were collected by Heriot-Watt University under the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project funded by NERC.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N016394/1"],"identifier":"6bfc1787-354d-454f-8277-d9edb1e6455a","incomingCitationCount":0,"givenName":["A.","S.","L.","A.J.","Adeloye"],"familyName":["Visser-Quinn","Ncube","Beevers","Adeloye","Adebayo"],"fullName":["Visser-Quinn, A.","Ncube, S.","Beevers, L.","Adeloye, A.J.","Adebayo, A."],"keyword":["Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat)","Environmental survey","river","invertebrate"],"keywordsProject":["Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat)"],"keywordsTheme":["Environmental survey"],"keywordsOther":["river","invertebrate"],"licence":"Open government licence","lineage":"Macroinvertebrate kick-sampling data were collected at four sites on the River Beas, India on the 3rd and 4th November 2017 following the UK Environment Agency's standard semi-quantitative protocol (Murray-Bligh, 1999).","locations":["POLYGON((74.498 30.714, 74.498 32.156, 76.301 32.156, 76.301 30.714, 74.498 30.714))"],"orcid":["https://orcid.org/0000-0003-1787-6239","https://orcid.org/0000-0001-6930-9135","https://orcid.org/0000-0002-1597-273X","https://orcid.org/0000-0002-2820-4596"],"organisation":["Heriot-Watt University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6bfc1787-354d-454f-8277-d9edb1e6455a","10.5285/6bfc1787-354d-454f-8277-d9edb1e6455a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Heriot-Watt University"],"ror":["https://ror.org/04mghma93","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Quality management systems for environmental monitoring: biological \ntechniques, BT001. Procedure for collecting and analysing macro-invertebrate samples. Version 2.0. Environment Agency: Bristol.\n"],"supplementalName":["Murray-Bligh, J. 1999","SusHi-Wat: Sustaining Himalayan Water Resources in a Changing Climate website","UKRI grant information on SusHi-Wat"],"title":"Macroinvertebrate sampling in the River Beas, India, 2017","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included..."},{"publicationDate":"2025-01-23T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["H.","H.T.","M.A.","B.A.","J.B.","P.O.","M.","E.B.","G.","S.J.","S.C."],"authorFamilyName":["Feuchtmayr","Carter","Clarke","Dodd","James","Keenan","Kelsall","Mackay","McShane","Rankin","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Kelsall, M.","Mackay, E.B.","McShane, G.","Rankin, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2021 until the end of 2022.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/Y006208/1 ","NE/R016429/1"],"identifier":"4600c752-ee9c-4e04-a95c-f5a5f8fb7f26","incomingCitationCount":0,"givenName":["H.","H.T.","M.A.","B.A.","J.B.","P.O.","M.","E.B.","G.","S.J.","Heidrun","S.C."],"familyName":["Feuchtmayr","Carter","Clarke","Dodd","James","Keenan","Kelsall","Mackay","McShane","Rankin","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Kelsall, M.","Mackay, E.B.","McShane, G.","Rankin, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"keyword":["Lake District","UK-SCAPE","NC-UK","Environmental survey","Lake monitoring ","Lake water temperature","Lake water chemistry","dissolved oxygen","secchi depth","algae","phytoplankton"],"keywordsPlace":["Lake District"],"keywordsProject":["UK-SCAPE","NC-UK"],"keywordsTheme":["Environmental survey"],"keywordsOther":["Lake monitoring ","Lake water temperature","Lake water chemistry","dissolved oxygen","secchi depth","algae","phytoplankton"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. \nPlease note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\n","locations":["POLYGON((-2.985 54.367, -2.985 54.425, -2.898 54.425, -2.898 54.367, -2.985 54.367))"],"orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4600c752-ee9c-4e04-a95c-f5a5f8fb7f26","10.5285/4600c752-ee9c-4e04-a95c-f5a5f8fb7f26"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":" Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, UK, 2021-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some..."},{"publicationDate":"2022-09-06T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["E.","J.","G.","P."],"authorFamilyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"authorFullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"authorOrcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset also includes the estimated 9 x FSA stored volume time-series, estimated using a depth-stored volume lookup table for each FSA, produced from a digital elevation model of each feature and a depth-area-volume toolset. The annual barometric pressure time-series used to correct water level is also provided.\n\nThis dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. This work was supported by the SPITFIRE NERC DTP (NE/L002531/1) and the SCENARIO NERC DTP (NE/L002566/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L002531/1","NE/L002566/1"],"identifier":"cf70f798-442a-4775-963c-b6600023830f","incomingCitationCount":0,"givenName":["E.","J.","G.","P."],"familyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"fullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"keyword":["Oxfordshire","Cotswolds","Thames Basin","Hydrology","Environmental risk","natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"keywordsPlace":["Oxfordshire","Cotswolds","Thames Basin"],"keywordsTheme":["Hydrology","Environmental risk"],"keywordsOther":["natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"licence":"Open government licence","lineage":"Data were generated using pressure sensors supplied with a factory calibration. A barometric correction was applied to sensor pressure time-series. Barometric corrected pressure data were then calibrated to stage using a linear regression developed between these data and observed stage board readings. After this correction data were quality controlled to flag any spurious readings, which were removed and interpolated if appropriate. Flood Storage Area (FSA) volume for each feature was estimated using a Digital Elevation Model (DEM) produced with LiDAR data. If LiDAR data were not available, as-built manual survey data were interpolated using the Natural Neighbour method. The DEMs were imported into ArcGIS to create a raster and apply a depth-area-volume toolset for each FSA. The continuous corrected water level time-series in each FSA was then used to produce a time-series of stored volume for each FSA, by matching the water level time-series to the depth-stored volume lookup table produced from ArcGIS.","locations":["POLYGON((-1.6 51.85, -1.6 51.88, -1.66 51.88, -1.66 51.85, -1.6 51.85))"],"orcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-8972-953X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cf70f798-442a-4775-963c-b6600023830f","10.5285/cf70f798-442a-4775-963c-b6600023830f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022","topic":["0/Hydrology/","0/Environmental risk/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset..."},{"publicationDate":"2018-05-14T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["R.","J.G."],"authorFamilyName":["Morrison","Evans"],"authorFullName":["Morrison, R.","Evans, J.G."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The dataset contains time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at an area of ancient broadleaved deciduous forest in Oxfordshire, UK (Wytham Woods). Turbulent flux densities were monitored from the top of a forest tower using the micrometeorological eddy covariance (EC) technique between 2014-06-13 13:00 and 2016-01-04 22:00. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Data were collected by staff from the Centre for Ecology & Hydrology, Wallingford.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"9b9ae2fe-e545-4209-b35f-e2ef6231dfe6","incomingCitationCount":0,"givenName":["Ross","R.","J.G."],"familyName":["Morrison","Evans"],"fullName":["Morrison, R.","Evans, J.G."],"keyword":["Flux tower","Wytham Woods","Oxfordshire","Environmental survey","Climate and climate change","Sensible heat","Momentum","Soil physics","Atmospheric turbulence ","Ancient broadleaved deciduous forest ","weather","soil","deciduous forest"],"keywordsInstrument":["Flux tower"],"keywordsPlace":["Wytham Woods","Oxfordshire"],"keywordsTheme":["Environmental survey","Climate and climate change"],"keywordsOther":["Sensible heat","Momentum","Soil physics","Atmospheric turbulence ","Ancient broadleaved deciduous forest ","weather","soil","deciduous forest"],"licence":"Open government licence","lineage":"Data were collected by staff from the Centre for Ecology & Hydrology, Wallingford from the top of a forest tower using the micrometeorological eddy covariance (EC) technique at Wytham Woods, Oxfordshire.  For further details, see the supporting document downloadable from this record.","locations":["POLYGON((-1.348 51.758, -1.348 51.785, -1.301 51.785, -1.301 51.758, -1.348 51.758))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b9ae2fe-e545-4209-b35f-e2ef6231dfe6","10.5285/9b9ae2fe-e545-4209-b35f-e2ef6231dfe6"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Information about the cosmic-ray soil moisture monitoring network (COSMOS), a long-term network of soil moisture monitoring stations for the United Kingdom, established by the Centre for Ecology & Hydrology."],"supplementalName":["COSMOS "],"title":"Turbulent fluxes of sensible heat and momentum at an ancient deciduous broadleaved forest in southern England","topic":["0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"The dataset contains time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at an area of ancient broadleaved deciduous forest in Oxfordshire, UK (Wytham Woods). Turbulent flux densities were monitored from..."},{"publicationDate":"2020-02-03T00:00:00.000+00:00","authorAffiliation":["University of Brighton","Exeter University","University of Hull","University of Birmingham","National Oceanography Centre, Liverpool"],"authorGivenName":["P.","A. ","D.","G.","C."],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith","Unsworth"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G.","Unsworth, C."],"authorOrcid":["https://orcid.org/0000-0002-3707-1182"],"catalogue":"eidc","description":"Data were collected in 2017, to provide information on spatial patterns of dune migration rates and associated water flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery. Bedform crests were digitised in individual images, and average dune migration rates were calculated from the mean migration distance between image pairs, divided by the time between image collection. Water depth and velocity data were collected using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted on a small zodiac boat. The position of the aDcp was recorded using a RTK dGPS system. Data were collected on 12th June 2017 as part of NERC project NE/L00738X/1","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L00738X/1"],"identifier":"864434b7-2102-4edc-802d-ebdbfe9ff766","incomingCitationCount":0,"givenName":["P.","A. ","D.","G.","C.","Andrew"],"familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith","Unsworth"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G.","Unsworth, C."],"keyword":["Canada","Mapping","Environmental survey","dune","flowing water"],"keywordsPlace":["Canada"],"keywordsTheme":["Mapping","Environmental survey"],"keywordsOther":["dune","flowing water"],"licence":"Open government licence","lineage":"Data were collected to provide information on spatial patterns of dune migration rates and associated flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery with flight lines completed on a grid pattern with 80% lateral and longitudinal overlap between images. Orthomosaics were constructed from these images using the SfM program Pix4D (https://pix4d.com/). Multiple flights were flown at 1 hour intervals (maximum of five epochs in a day) to allow tracking of bedforms. Image Ground Sampling Distance (GSD) was typically 0.025–0.03 m. Bedform crests were digitised in individual images, and average dune migration rates were calculated from the mean migration distance between image pairs, divided by the time between image collection. Data were collected on 12th June 2017.\n\nWater depth and velocity data were collected using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted on a small zodiac boat. The position of the aDcp was recorded using a RTK dGPS system.  Velocities are calculated relative to the instrument head and are corrected using the dGPS calculated boat speed and heading. The aDcp data were collected in pulse coherent mode, averaging 7 pings per second, and were averaged to 1 Hz to improve the signal-to-noise ratio. The M9 uses 9 transducers at frequencies between 0.5 and 3.0 MHz. Data were collected along cross-sections of the river that extended between both banks and were aligned approximately perpendicular to the downstream flow direction.\n","locations":["POLYGON((-110.919 52.403, -110.919 55.875, -101.645 55.875, -101.645 52.403, -110.919 52.403))"],"orcid":["https://orcid.org/0000-0002-3707-1182"],"organisation":["University of Brighton","Exeter University","University of Hull","University of Birmingham","National Oceanography Centre, Liverpool","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/864434b7-2102-4edc-802d-ebdbfe9ff766","10.5285/864434b7-2102-4edc-802d-ebdbfe9ff766"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"state":"published","title":"Dune migration measurements on the South Saskatchewan River, Canada, 2017","topic":["0/Mapping/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Data were collected in 2017, to provide information on spatial patterns of dune migration rates and associated water flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery. Bedform crests..."},{"publicationDate":"2020-04-20T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research","Butterfly Conservation"],"authorGivenName":["C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R."],"authorFamilyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"authorFullName":["Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R."],"authorOrcid":["https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0003-1640-6120","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-4869-8052","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-7175-5393"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/05jg03a59"],"catalogue":"eidc","description":"The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance Index (GAI) model. The trends are presented as year coefficients from the statistical model, Annual Growth Rates (AGR), and the total percentage changes over the time series for each species. For each trend metric 95% and 90% confidence intervals are provided. Two versions of the trends are presented: one using data from all traps in the Britain & Ireland over the period of 1968-2016 and a second dataset restricted to traps in Great Britain over the period of 1970-2016.\n\nData acquisition was partially funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).  The Rothamsted Insect Survey is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200.  The research builds upon model development supported by NERC award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"grant":["NE/N018125/1","BBS/E/C/000J0200"],"identifier":"0a7d65e8-8bc8-46e5-ab72-ee64ed851583","incomingCitationCount":3,"givenName":["C.","C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R."],"familyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"fullName":["Harrower, C.","Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R."],"keyword":["ASSIST","Achieving Sustainable Agricultural Systems","UK-SCAPE","Biodiversity","Environmental survey"],"keywordsProject":["ASSIST","Achieving Sustainable Agricultural Systems","UK-SCAPE"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The Rothamsted light-trap network is a network of standardised light-traps that are operated throughout the year by volunteers. Using standardised traps means that the data from different sites and/or times are directly comparable. Although for the majority of species the time period of the data used in the analysis was 1968-2016, there was a handful of species of species where the time period had to be modified due taxonomic or data issues. For example the time period used for many pug species in the analysis was 1986 onwards due to inconsistency in the identification of these species in earlier years through a lack of suitable identification resources such as field guides. A few other species had initial years excluded due to data issues in those earlier years.\n\nThe GAI methodology is a two-step statistical method designed to analyse count data for taxa showing seasonal patterns in abundance, such as Butterflies and Moths. The first step uses statistical models, in this case generalised additive models (GAMs) with a smoothing spline, to estimate annual flight curves for each species.  The second stage takes these annual flight curves and uses them to correct for seasonal gaps in recording, producing estimated annual abundance indices for each site (site indices), to which a Poisson general linear model (GLM) is fitted allowing to the year and sites effects upon the site. The year coefficient from these GLMs are one of the measures of the temporal abundance trend presented in this data. In addition to the coefficient itself two additional metrics of temporal trend were estimated and are presented here, specifically the Annual Growth Rate (AGR) and the total percentage change over the time series for each species. Confidence intervals on the trend metrics were determined by bootstrapping (1000 replicates).","locations":["POLYGON((-10.669 49.864, -10.669 60.861, 1.768 60.861, 1.768 49.864, -10.669 49.864))"],"orcid":["https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0003-1640-6120","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-4869-8052","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-7175-5393"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Rothamsted Research","Butterfly Conservation"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0a7d65e8-8bc8-46e5-ab72-ee64ed851583","10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/0347fy350","https://ror.org/05jg03a59"],"state":"published","supplementalDescription":["The Insect Survey is host to a nationwide network of light-traps and suction-traps that collect invaluable data on the migration of moths and aphids."],"supplementalName":["Rothamsted Research Insect Survey website"],"title":"Moth trends for Britain and Ireland from the Rothamsted Insect Survey light-trap network (1968 to 2016)","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance..."},{"publicationDate":"2024-08-13T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for the years 2040, 2070 and 2100 under the Shared Socioeconomic Pathways (SSPs) 1-5. SSPs are future scenarios based on narratives of possible socio-economic pathways.\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","incomingCitationCount":0,"givenName":["J.","S.","E.J. ","T.","M."],"familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"keyword":["Environmental risk","aerosol","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","sulphur oxide","nitrogen oxides","reduced nitrogen","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen","UK-SCAPE"],"keywordsTheme":["Environmental risk"],"keywordsOther":["aerosol","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","sulphur oxide","nitrogen oxides","reduced nitrogen","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen","UK-SCAPE"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN.\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","10.5285/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J. C., Kc, S., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silva, L. A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., and Tavoni, M.: The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change, 42, 153–168, https://doi.org/10.1016/j.gloenvcha.2016.05.009, 2017."],"supplementalName":["Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp.","National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01012022  ","The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory","Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre.","SSP scenarios"],"title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 2040, 2070 and 2100 under the Shared Socioeconomic Pathway scenarios 1-5","topic":["0/Environmental risk/"],"version":1.0,"view":["public","crimar"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel,..."},{"publicationDate":"2020-06-02T00:00:00.000+00:00","authorAffiliation":["University of Sheffield\t","Universidad del Rosario"],"authorGivenName":["N.J","E.V.","C.","M."],"authorFamilyName":["Nadeau","Curran","Pardo-Diaz","Salazar","Linares"],"authorFullName":["Nadeau, N.J.","Curran, E.V.","Pardo-Diaz, C.","Salazar, C.","Linares, M."],"authorOrcid":["https://orcid.org/0000-0002-9319-921X","https://orcid.org/0000-0002-1739-4603","https://orcid.org/0000-0002-7259-1183","https://orcid.org/0000-0001-9217-6588"],"authorRor":["https://ror.org/05krs5044","https://ror.org/0108mwc04"],"catalogue":"eidc","description":"These data comprise collection records of Heliconius butterfly samples collected in the Chocó-Darien ecoregion between the Andes and the Pacific in Ecuador and Colombia, and the Pacific coast of the Darien region of Panama. Samples were collected over five sampling trips between 2014 and 2016. Data were collected for a study of clinal variation across this region in Heliconius erato and Heliconius melpomene, so focus on these two species. However, in most cases all observed Heliconius species were collected. \n\nThe dataset includes photographs of the wings of most of the specimens, which were used for an analysis of colour and pattern variation. Many of these individuals also have genomic information available for them on the European Nucleotide Archive (ENA) - the data includes ENA accession numbers.\n\nData were collected as part of a NERC fellowship project (NE/K008498/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K008498/1"],"identifier":"cb23c552-caee-4221-bdd3-83b172139ae1","incomingCitationCount":0,"givenName":["Nicola","N.J","E.V.","C.","M."],"familyName":["Nadeau","Curran","Pardo-Diaz","Salazar","Linares"],"fullName":["Nadeau, N.","Nadeau, N.J.","Curran, E.V.","Pardo-Diaz, C.","Salazar, C.","Linares, M."],"keyword":["Chocó","Darien","Biodiversity","Environmental survey","Heliconius melpomene","Heliconius erato","Heliconius sapho","Heliconius sara","Heliconius eleuchia","Heliconius doris","Heliconius cydno","Heliconius hecale"],"keywordsPlace":["Chocó","Darien"],"keywordsTheme":["Biodiversity","Environmental survey"],"keywordsOther":["Heliconius melpomene","Heliconius erato","Heliconius sapho","Heliconius sara","Heliconius eleuchia","Heliconius doris","Heliconius cydno","Heliconius hecale"],"licence":"Open government licence","lineage":"Sampling was performed with hand nets, targeting all observed Heliconius individuals. The collection records do not represent a standardised sampling, as collecting effort (time and number of collectors) varied between days. Species identities were confirmed by at least two experts and in listed cases also by genetic information. Photographs were taken under standardised lighting conditions (see supporting documentation). ","locations":["POLYGON((-86.133 -4.739, -86.133 12.895, -68.906 12.895, -68.906 -4.739, -86.133 -4.739))"],"orcid":["https://orcid.org/0000-0002-9319-921X","https://orcid.org/0000-0002-1739-4603","https://orcid.org/0000-0002-7259-1183","https://orcid.org/0000-0001-9217-6588"],"organisation":["University of Sheffield","University of Sheffield\t","Universidad del Rosario","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cb23c552-caee-4221-bdd3-83b172139ae1","10.5285/cb23c552-caee-4221-bdd3-83b172139ae1"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Sheffield"],"ror":["https://ror.org/05krs5044","https://ror.org/0108mwc04","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["GBIF dataset","E.V. Curran, S. Stankowski, C. Pardo-Diaz, C. Salazar, M. Linares, N.J. Nadeau 2020. Müllerian mimicry of a quantitative trait despite contrasting levels of genomic divergence and selection. Molecular Ecology.","Heliconius EarthCape database "],"title":"Heliconius butterfly collection records in the Chocó-Darien Rainforest (Ecuador, Colombia, Panama) 2014-2016","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"These data comprise collection records of Heliconius butterfly samples collected in the Chocó-Darien ecoregion between the Andes and the Pacific in Ecuador and Colombia, and the Pacific coast of the Darien region of Panama. Samples were collected over five sampling..."},{"publicationDate":"2020-06-02T00:00:00.000+00:00","authorAffiliation":["The University of Manchester","Helmholtz Zentrum München, Germany","UK Centre for Ecology & Hydrology","Innsbruck University, Austria"],"authorGivenName":["A.A.D.","H.S.K.","A.","W.J.","L.","I.","T.","R.I.","M.","R.D."],"authorFamilyName":["Broadbent","Snell","Michas","Pritchard","Newbold","Cordero","Goodall","Griffiths","Schloter","Bahn","Bardgett"],"authorFullName":["Broadbent, A.A.D.","Snell, H.S.K.","Michas, A.","Pritchard, W.J.","Newbold, L.","Cordero, I.","Goodall, T.","Griffiths, R.I.","Schloter, M.","Bahn, M.","Bardgett, R.D."],"authorOrcid":["https://orcid.org/0000-0002-8438-7163"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data comprise soil microbial and biogeochemical data collected during a snow manipulation experiment on the summit of Hohe Mut (2650 m) near Obergurgl, in the Austrian Alps (lat. 46.84862, long. 11.02957). \n\nSoil microbial data include phospholipid fatty acid (PLFA) analyses, and bacterial (16S Small subunit ribosomal RNA) and fungal (internal transcribed spacer region 2) high throughput sequences. Soil biogeochemical data include soil extracellular enzyme activities, soil pH, gravimetric moisture content and various C and N pools and fluxes.\n\nThe experiment was part of the NERC project NE/N009452/1. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N009452/1"],"identifier":"255320dd-38ae-4a07-93bb-4f90439309f8","incomingCitationCount":0,"givenName":["A.A.D.","H.S.K.","A.","W.J.","L.","I.","T.","R.I.","M.","R.D.","Arthur"],"familyName":["Broadbent","Snell","Michas","Pritchard","Newbold","Cordero","Goodall","Griffiths","Schloter","Bahn","Bardgett"],"fullName":["Broadbent, A.A.D.","Snell, H.S.K.","Michas, A.","Pritchard, W.J.","Newbold, L.","Cordero, I.","Goodall, T.","Griffiths, R.I.","Schloter, M.","Bahn, M.","Bardgett, R.D.","Broadbent, A."],"keyword":["Hohe Mut","Austria","Environmental survey","Soil"],"keywordsPlace":["Hohe Mut","Austria"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"Soil was sampled at six time-points from late winter (28th march 2017) to early summer (8th July 2017) across 15 experimental plots. Snow had been removed from five plots, added to five other plots and remained untouched on five plots (controls). Soil cores were taken (Ø = 2 cm, depth = 7 cm, where possible, although some cores were shallower when soil was frozen during winter) using a steel corer from five randomly chosen locations in each plot. Soil cores from the same plot were pooled and homogenised, any vegetation or litter was separated and discarded. Soil subsamples were immediately lysed in the field and stored at -80 deg C prior to molecular analyses. The remaining soil samples were sieved (4 mm) and stored at 4oC prior to biogeochemical analyses. See documentation accompanying the data for further details.","locations":["POLYGON((11.014 46.835, 11.014 46.853, 11.046 46.853, 11.046 46.835, 11.014 46.835))"],"orcid":["https://orcid.org/0000-0002-8438-7163"],"organisation":["The University of Manchester","Helmholtz Zentrum München, Germany","UK Centre for Ecology & Hydrology","Innsbruck University, Austria","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/255320dd-38ae-4a07-93bb-4f90439309f8","10.5285/255320dd-38ae-4a07-93bb-4f90439309f8"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Alpine grassland soil microbial and biogeochemical data from a snow manipulation experiment in Hohe Mut, Austria, 2017","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Data comprise soil microbial and biogeochemical data collected during a snow manipulation experiment on the summit of Hohe Mut (2650 m) near Obergurgl, in the Austrian Alps (lat. 46.84862, long. 11.02957). \n\nSoil microbial data include phospholipid fatty acid (PLFA)..."},{"publicationDate":"2020-06-29T00:00:00.000+00:00","authorAffiliation":["University of Liverpool","Museo Nacional de Ciencias Naturales, CSIC, Madrid, Spain","University of Cambridge","Institute of Zoology"],"authorGivenName":["A. ","D. R.","J. ","C.","A.","T. W. J."],"authorFamilyName":["Fenton","Daversa","Bosch","Serrano","Manica","Garner"],"authorFullName":["Fenton, A.","Daversa, D.R.","Bosch, J.","Serrano, C.","Manica, A.","Garner, T.W.J."],"authorOrcid":["https://orcid.org/0000-0002-7676-917X","https://orcid.org/0000-0002-8984-8897","https://orcid.org/0000-0002-0099-7934","https://orcid.org/0000-0003-1895-450X","https://orcid.org/0000-0002-0336-9706"],"catalogue":"eidc","description":"Data were generated from a mesocosm experiment  to determine the extent to which non-reservoir hosts impact the maintenance and transmission of infections from parasites supported by reservoir hosts.  The three host species were salamanders, Tree frogs (Hyla meridiensis) and Spiny toads (Bufo spinosus). The infection used was Batrachochytrium dendrobatidis (Bd).\n\nThe experiment was executed in the late summer of 2017, at the Centre for Captive Breeding of Threatened Amphibians, located in Rascafria, Spain. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"093d6938-39f5-414d-b638-7d18e6dc52d3","incomingCitationCount":0,"givenName":["A. ","D. R.","J. ","C.","A.","T. W. J.","Fenton"],"familyName":["Fenton","Daversa","Bosch","Serrano","Manica","Garner","Andy"],"fullName":["Fenton, A.","Daversa, D.R.","Bosch, J.","Serrano, C.","Manica, A.","Garner, T.W.J.","Andy, F."],"keyword":["Environmental survey","Hyla meridiensis","Bufo spinosus","salamander","Batrachochytrium dendrobatidis"],"keywordsTheme":["Environmental survey"],"keywordsOther":["Hyla meridiensis","Bufo spinosus","salamander","Batrachochytrium dendrobatidis"],"licence":"Open government licence","lineage":"The experiment quantified Batrachochytrium dendrobatidis (Bd) infection dynamics in experimental host communities that varied in relative abundances of three host species that co-occur in the park: salamanders, Tree frogs (Hyla meridiensis), and Spiny toads (Bufo spinosus). There were five treatments total: \n\n(i) control - 24 salamanders only;\n(ii) 2 species with toads - 12 salamanders and 12 toads;\n(iii) 2 species with frogs - 12 salamanders and 12 frogs;\n(iv) 3 species non-random - 12 salamanders, 6 toads, and 6 frogs; \n(v) 3 species random - relative abundances of salamanders, toads, and frogs chosen at random.","orcid":["https://orcid.org/0000-0002-7676-917X","https://orcid.org/0000-0002-8984-8897","https://orcid.org/0000-0002-0099-7934","https://orcid.org/0000-0003-1895-450X","https://orcid.org/0000-0002-0336-9706"],"organisation":["University of Liverpool","Museo Nacional de Ciencias Naturales, CSIC, Madrid, Spain","University of Cambridge","Institute of Zoology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/093d6938-39f5-414d-b638-7d18e6dc52d3","10.5285/093d6938-39f5-414d-b638-7d18e6dc52d3"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Liverpool","Institute of Zoology"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Chytrid fungus infection data in multi-host mesocosm communities","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Data were generated from a mesocosm experiment  to determine the extent to which non-reservoir hosts impact the maintenance and transmission of infections from parasites supported by reservoir hosts.  The three host species were salamanders, Tree frogs (Hyla meridiensis)..."},{"publicationDate":"2024-10-29T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","G.","S.J.","S.C."],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Water in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. All data are from January 2019 until the end of 2020.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1","NE/Y006208/1 "],"identifier":"26ea7dfb-59f2-4dc5-b1ee-e9270167a6a2","incomingCitationCount":0,"givenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","G.","S.J.","S.C."],"familyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"keyword":["UK","Lake District National Park","Environmental survey","Lake monitoring","lake water temperature","dissolved oxygen","secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"keywordsPlace":["UK","Lake District National Park"],"keywordsTheme":["Environmental survey"],"keywordsOther":["Lake monitoring","lake water temperature","dissolved oxygen","secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. \nPlease note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\n","locations":["POLYGON((-3.001 54.345, -3.001 54.374, -2.966 54.374, -2.966 54.345, -3.001 54.345))"],"orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26ea7dfb-59f2-4dc5-b1ee-e9270167a6a2","10.5285/26ea7dfb-59f2-4dc5-b1ee-e9270167a6a2"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2019-2020","topic":["0/Environmental survey/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Water in Cumbria, England that began in 1945 for some variables. The..."},{"publicationDate":"2021-02-24T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","University of Bournemouth","University of Portsmouth"],"authorGivenName":["M.E.","J.M.","L.E.","L.","S.","A.C.","S.C.L.","G.M.","A.","P."],"authorFamilyName":["McCracken","Bullock","Ridding","Hulmes","Newton","Watson","Pereira","Hunt","Keenan"],"authorFullName":["McCracken, M.E.","Bullock, J.M.","Ridding, L.E.","Hulmes, L.","Hulmes, S.","Newton, A.C.","Watson, S.C.L.","Pereira, G.M.","Hunt, A.","Keenan, P."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains carbon and nitrogen data from soils and vegetation from 13 calcareous grassland, 13 heathland and 12 woodland sites within Dorset, UK. The sites were selected to represent a range of habitat types across a condition gradient as measured by levels of degradation from the original habitat. The original habitats were identified as being calcareous grassland, heathland or woodland from a survey conducted in the 1930s. Within each site, 15cm deep soil cores were taken and analysed for total nitrogen, total carbon and bulk density. Within the same area for each site, vegetation samples were taken from five 50cm quadrats and separated into herbacous or shrub layers before analysis for total carbon, total nitrogen and dry weight. Heathland and calcareous grassland sites were visited in summer 2017 and woodland sites were visited in summer 2018.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P007716/1"],"identifier":"ea43c2d1-88f5-4692-a09d-0ef4d96e0f35","incomingCitationCount":0,"givenName":["M.","M.E.","J.M.","L.E.","L.","S.","A.C.","S.C.L.","G.M.","A.","P."],"familyName":["McCracken","Bullock","Ridding","Hulmes","Newton","Watson","Pereira","Hunt","Keenan"],"fullName":["McCracken, M.","McCracken, M.E.","Bullock, J.M.","Ridding, L.E.","Hulmes, L.","Hulmes, S.","Newton, A.C.","Watson, S.C.L.","Pereira, G.M.","Hunt, A.","Keenan, P."],"keyword":["Soil","Environmental survey","woodland","calcareous grassland","nitrogen","carbon","bulk density","grassland","heathland","dry weight"],"keywordsTheme":["Soil","Environmental survey"],"keywordsOther":["woodland","calcareous grassland","nitrogen","carbon","bulk density","grassland","heathland","dry weight"],"licence":"Open government licence","lineage":"Sample squares (50m x 50m plots) were randomly assigned within the original Good survey site prior to visit, using ArcGIS. Within each sample square, four 15cm deep soil cores were taken. Two were air dried and sieved through a 2mm soil sieve, amalgamated and analysed by Lancaster Laboratories, UKCEH for total carbon and total nitrogen. Bulk density was assessed in the additional two soil samples and averaged for the site. Vegetation samples were collected from five 50cm quadrats across the sample square. All layers of vegetation were sampled where they were present. All samples were dried and weighed. Dried vegetation was sent to the Centralised Lancaster Laboratories, UKCEH for analysis. Data were collected by experienced field ecologists, the same ecologists carried out all surveys. Data are consistent and reliable. Data were recorded into the spreadsheet as recorded in the field. Data were checked for any anomalies.","locations":["POLYGON((-2.961 50.521, -2.961 51.08, -1.681 51.08, -1.681 50.521, -2.961 50.521))"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","University of Bournemouth","University of Portsmouth"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ea43c2d1-88f5-4692-a09d-0ef4d96e0f35","10.5285/ea43c2d1-88f5-4692-a09d-0ef4d96e0f35"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Carbon and nitrogen content in soils and vegetation from calcareous grassland, heathland and woodland sites in Dorset, 2017-2018","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"This dataset contains carbon and nitrogen data from soils and vegetation from 13 calcareous grassland, 13 heathland and 12 woodland sites within Dorset, UK. The sites were selected to represent a range of habitat types across a condition gradient as measured by levels..."},{"publicationDate":"2020-10-01T00:00:00.000+00:00","authorAffiliation":["Instituto de Geociências, Universidade de São Paulo, São Paulo","University of Leicester","Instituto Nacional de Pesquisas Da Amazônia (INPA), Coordenação de Dinâmica Ambiental (CODAM)","University of Leeds"],"authorGivenName":["B.","A.","J.","E.","R."],"authorFamilyName":["Cintra","Boom","Schöngart","Gloor","Brienen"],"authorFullName":["Cintra, B.","Boom, A.","Schöngart, J.","Gloor, E.","Brienen, R."],"authorOrcid":["https://orcid.org/0000-0002-5397-5755"],"catalogue":"eidc","description":"The data consist of tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data of Macrolobium acaciifolium and Cedrela odorata from five sites in the Amazon basin, including Pacaya (Peru) and Maranon (Peru), Leticia (Colombia), Manuripi (Bolivia) and Riberalta (Bolivia).\n\nAll sample preparation (i.e., cutting ring sections, cellulose extraction, weighing and packing) was done at the University of Leeds, and all isotope ratio measurements were done at Stable Isotope Laboratory at the University of Leicester.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"a5a862da-8db2-4881-9046-610c8573b499","incomingCitationCount":0,"givenName":["B.","A.","J.","E.","R.","Roel"],"familyName":["Cintra","Boom","Schöngart","Gloor","Brienen"],"fullName":["Cintra, B.","Boom, A.","Schöngart, J.","Gloor, E.","Brienen, R."],"keyword":["Environmental survey","Hydrology","Amazon Basin","Tree rings","Stable isotopes","Macrolobium acaciifolium","Cedrela odorata","Cigar-box wood"],"keywordsTheme":["Environmental survey","Hydrology"],"keywordsOther":["Amazon Basin","Tree rings","Stable isotopes","Macrolobium acaciifolium","Cedrela odorata","Cigar-box wood"],"licence":"Open government licence","lineage":"All sample preparation (i.e., cutting ring sections, cellulose extraction, weighing and packing) was done at the University of Leeds, and all isotope ratio measurements were done at Stable Isotope Laboratory at the University of Leicester. Cellulose was extracted directly from wood cross-sectional slices following the procedure of Kagawa et al. (2015): cross-sectional slices of 1-4mm thickness and 6-8 cm length were cut from the core samples with a circular diamond saw blade and packed in TEFLON perforated sheets. Cellulose was extracted from the raw wood material following the chemical procedure of Wieloch et al. (2011).","locations":["POLYGON((-77.648 -18.247, -77.648 -7.89, -63.507 -7.89, -63.507 -18.247, -77.648 -18.247))"],"orcid":["https://orcid.org/0000-0002-5397-5755"],"organisation":["Instituto de Geociências, Universidade de São Paulo, São Paulo","University of Leicester","Instituto Nacional de Pesquisas Da Amazônia (INPA), Coordenação de Dinâmica Ambiental (CODAM)","University of Leeds","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5a862da-8db2-4881-9046-610c8573b499","10.5285/a5a862da-8db2-4881-9046-610c8573b499"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"state":"published","supplementalDescription":["Kagawa, A., Sano, M., Nakatsuka, T., Ikeda, T. and Kubo, S., 2015. An optimized method for stable isotope analysis of tree rings by extracting cellulose directly from cross-sectional laths. Chemical Geology, 393, pp.16-25.\n","Wieloch, T., Helle, G., Heinrich, I., Voigt, M. and Schyma, P., 2011. A novel device for batch-wise isolation of α-cellulose from small-amount wholewood samples. Dendrochronologia, 29(2), pp.115-117."],"title":"Amazon tree ring isotope records of Macrolobium acaciifolium and Cedrela odorata","topic":["0/Environmental survey/","0/Hydrology/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The data consist of tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data of Macrolobium acaciifolium and Cedrela odorata from five sites in the Amazon basin, including Pacaya (Peru) and Maranon (Peru), Leticia (Colombia), Manuripi (Bolivia) and Riberalta (Bolivia).\n\nAll..."},{"publicationDate":"2021-05-14T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["H.","M.A.","M.M.","B.A.","J.","J.B.","E.B.","M.G.","G.","S.J.","S.C."],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Fletcher","Guyatt","James","Mackay","Pereira","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","James, J.B.","Mackay, E.B.","Pereira, M.G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Grasmere in Cumbria, England that began in 1968 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from January 2014 until the end of March 2018. 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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 2022.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.\n\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"f7ef2dc5-2bce-4436-8f65-90f7a99acff2","incomingCitationCount":0,"fullName":["National Plant Monitoring Scheme "],"keyword":["Environmental survey","National Plant Monitoring Scheme","NPMS","UK-SCAPE","plant community","habitat","environmental monitoring","vegetation"],"keywordsTheme":["Environmental survey"],"keywordsOther":["National Plant Monitoring Scheme","NPMS","UK-SCAPE","plant community","habitat","environmental monitoring","vegetation"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system through the National Plant Monitoring Scheme website or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. 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This is enables us to focus conservation and research and also to assess species responses to conservation already in place.\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.\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#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.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Butterfly Conservation","JNCC"],"grant":[" NE/S011641/1"],"identifier":"ae7542e2-bf37-4391-b47e-96ed3f6fe096","incomingCitationCount":0,"givenName":["M.S.","I.","J.","C.","R.","D.B.","Marc"],"familyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B.","Botham, M."],"keyword":["England","Northern Ireland","Scotland","United Kingdom","Wales","UK-SCAPE","Biodiversity","Environmental survey","annual","butterflies","lepidopteran"],"keywordsPlace":["England","Northern Ireland","Scotland","United Kingdom","Wales"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Biodiversity","Environmental survey"],"keywordsOther":["annual","butterflies","lepidopteran"],"licence":"Non-Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. 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