{"facets":[{"admin":false,"displayName":"Research Theme","fieldName":"ukcehResearchTheme","hierarchical":false},{"admin":false,"displayName":"Science Challenge","fieldName":"ukcehScienceChallenge","hierarchical":false},{"admin":false,"displayName":"Research Project","fieldName":"ukcehResearchProject","hierarchical":false},{"admin":false,"displayName":"Service","fieldName":"ukcehService","hierarchical":false},{"admin":false,"displayName":"Resource type","fieldName":"resourceType","hierarchical":false,"results":[{"active":false,"count":17,"name":"Application","url":"https://catalogue.ceh.ac.uk/ukscape/documents?facet=resourceType%7CApplication"},{"active":false,"count":21,"name":"Dataset","url":"https://catalogue.ceh.ac.uk/ukscape/documents?facet=resourceType%7CDataset"},{"active":false,"count":2,"name":"Model","url":"https://catalogue.ceh.ac.uk/ukscape/documents?facet=resourceType%7CModel"},{"active":false,"count":23,"name":"Service","url":"https://catalogue.ceh.ac.uk/ukscape/documents?facet=resourceType%7CService"},{"active":false,"count":3,"name":"Software","url":"https://catalogue.ceh.ac.uk/ukscape/documents?facet=resourceType%7CSoftware"},{"active":false,"count":1,"name":"Third-party dataset","url":"https://catalogue.ceh.ac.uk/ukscape/documents?facet=resourceType%7CThird-party%20dataset"}]},{"admin":true,"displayName":"Availability","fieldName":"availability","hierarchical":false,"results":[{"active":false,"count":65,"name":"Unknown","url":"https://catalogue.ceh.ac.uk/ukscape/documents?facet=availability%7CUnknown"}]}],"numFound":67,"order":"asc","page":4,"prevPage":"https://catalogue.ceh.ac.uk/ukscape/documents?page=3","results":[{"availability":"Unknown","catalogue":"ukscape","description":"This dataset consists of measures of topsoil (0-15cm) physico-chemical properties from soils sampled from a set of 1km squares across Great Britain in 2023 as part of a rolling soil and vegetation monitoring program of 500 1km squares repeated every 5 years. The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, Olsen-phosphorous, pH, electrical conductivity, soil bulk density of fine earth and fine earth volumetric water content.\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 the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the Countryside Survey.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\nTHIS DATASET IS BEING GENERATED AND IS EXPECTED TO BECOME AVAILABLE IN SEPTEMBER 2024.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson"],"fullName":["Robinson, D."],"funder":["Natural Environment Research Council"],"givenName":["David"],"identifier":"d08ea1ab-f892-47c3-8f2f-a83e565b0431","incomingCitationCount":0,"keyword":["Countryside Survey","Soil","Soil health"],"keywordsOther":["Countryside Survey","Soil","Soil health"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:17:23.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d08ea1ab-f892-47c3-8f2f-a83e565b0431"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This dataset consists of measures of topsoil (0-15cm) physico-chemical properties from soils sampled from a set of 1km squares across Great Britain in 2023 as part of a rolling soil and vegetation monitoring program of 500 1km squares repeated every 5 years. The properties…","state":"published","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2023","version":1.0,"view":["ssma","rhicha","public","dbr","davi2","ag"]},{"availability":"Unknown","catalogue":"ukscape","description":"VegTaxon, an R package created to assist with the harmonisation of vegetation survey data from UK datasets. VegTaxon greatly reduces the time needed to process these data, allowing researchers to spend more time on analysis and interpretation.\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","familyName":["Henrys","Brown"],"fullName":["Henrys, P.","Brown, M."],"givenName":["Pete","Mike"],"identifier":"f6293da9-2ceb-4d25-ae63-13694b3c1e55","incomingCitationCount":0,"keyword":["Data Labs","Biological Records Centre","Climate and land","Biodiversity","BRC"],"keywordsOther":["Data Labs","Biological Records Centre","Climate and land","Biodiversity","BRC"],"licence":"Non-Open government licence","metadataDate":"2026-07-25T18:08:04.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Application","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6293da9-2ceb-4d25-ae63-13694b3c1e55"],"resourceType":"Application","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"VegTaxon, an R package created to assist with the harmonisation of vegetation survey data from UK datasets. VegTaxon greatly reduces the time needed to process these data, allowing researchers to spend more time on analysis and interpretation.\n\nThis work was supported…","state":"published","title":"VegTaxon R Package","version":1.0,"view":["jakqui","public","dbr","hele"]},{"availability":"Unknown","catalogue":"ukscape","description":"State tagging app for environmental data quality assurance. This version uses Cumbrian lakes data as an example.\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","familyName":["Tso"],"fullName":["Tso, M."],"givenName":["Michael"],"identifier":"2c6889f6-0d1b-4994-b45c-c4869ece707a","incomingCitationCount":0,"keyword":["Lakes Monitoring","Data Labs","Web Portal"],"keywordsOther":["Lakes Monitoring","Data Labs","Web Portal"],"licence":"Non-Open government licence","metadataDate":"2026-07-24T19:32:46.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Application","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2c6889f6-0d1b-4994-b45c-c4869ece707a"],"resourceType":"Application","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"State tagging app for environmental data quality assurance. This version uses Cumbrian lakes data as an example.\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 Cap…","state":"published","supplementalName":["State Tagging for Improved Earth and Environmental Data Quality Assurance"],"title":"State tagging app (Cumbrian Lakes)","version":1.0,"view":["public","jakqui"]},{"availability":"Unknown","catalogue":"ukscape","description":"The API allows programmatic access to the Countryside Survey Dataset for users conducting studies using programs such as R, Python.\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\nTHIS API IS BEING GENERATED AND IS EXPECTED TO BECOME AVAILABLE IN AUGUST 2022.","documentType":"GEMINI_DOCUMENT","familyName":["Brown"],"fullName":["Brown, M."],"givenName":["Mike"],"identifier":"5c420522-34d2-4692-9ab0-8e7d5bd3f533","incomingCitationCount":0,"keyword":["Countryside Survey","Data Labs","API","Soil","Biodiversity"],"keywordsOther":["Countryside Survey","Data Labs","API","Soil","Biodiversity"],"licence":"Non-Open government licence","metadataDate":"2026-07-24T23:09:37.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Service","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5c420522-34d2-4692-9ab0-8e7d5bd3f533"],"resourceType":"Service","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"The API allows programmatic access to the Countryside Survey Dataset for users conducting studies using programs such as R, Python.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering…","state":"published","title":"Countryside Survey API","version":1.0,"view":["ssma","jakqui","public","dbr","davi2","ag"]},{"availability":"Unknown","catalogue":"ukscape","description":"GHG and pollutant fluxes are commonly measured by a micrometeorological technique, the eddy covariance method.  This involves storing large quantities of high-frequency data (20 Hz) and computationally intensive processing.  EddyStore is a tool which provides a user-friendly web front-end to a processing engine, which uses the parallel processing power of JASMIN (thousands of CPUs in parallel).  This hugely speeds up processing, whilst remaining easy to use.\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","familyName":["Levy"],"fullName":["Levy, P."],"givenName":["Peter"],"identifier":"d5951023-420e-40aa-8c26-8efb1ef8500b","incomingCitationCount":0,"keyword":["Greenhouse Gas","Web Portal","Air","Land","Climate and land","Net zero greenhouse gas emissions"],"keywordsOther":["Greenhouse Gas","Web Portal","Air","Land","Climate and land","Net zero greenhouse gas emissions"],"licence":"Non-Open government licence","metadataDate":"2026-07-25T14:20:03.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Service","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d5951023-420e-40aa-8c26-8efb1ef8500b"],"resourceType":"Service","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"GHG and pollutant fluxes are commonly measured by a micrometeorological technique, the eddy covariance method.  This involves storing large quantities of high-frequency data (20 Hz) and computationally intensive processing.  EddyStore is a tool which provides a user-friendly…","state":"published","supplementalName":["Access eddystore"],"title":"EddyStore","version":1.0,"view":["public","jakqui"]},{"availability":"Unknown","catalogue":"ukscape","description":"This repository hosts functions to simulate structured and unstructured data and to run species distribution models on these to evaluate under which scenarios integrated perform better than individual dataset models. Three integrated models are tested - joint likelihood, informed prior and correlation following Pacifici et al (2017).\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","familyName":["Henrys","Brown"],"fullName":["Henrys, P.","Brown, M."],"givenName":["Pete","Mike"],"identifier":"5ea73380-60bc-4b8d-8df4-82010e40c71b","incomingCitationCount":0,"keyword":["Data Labs","Biological Records Centre","Biodiversity"],"keywordsOther":["Data Labs","Biological Records Centre","Biodiversity"],"licence":"Non-Open government licence","metadataDate":"2026-07-24T23:10:43.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5ea73380-60bc-4b8d-8df4-82010e40c71b"],"resourceType":"Software","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This repository hosts functions to simulate structured and unstructured data and to run species distribution models on these to evaluate under which scenarios integrated perform better than individual dataset models. Three integrated models are tested - joint likelihood,…","state":"published","title":"Integrated species modelling method","version":1.0,"view":["public","jakqui"]},{"availability":"Unknown","catalogue":"ukscape","description":"Biological Records Centre (BRC) R package for combining species trend estimates into multispecies indicators, including novel hierarchical Bayesian methods.\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","familyName":["Henrys","Brown"],"fullName":["Henrys, P.","Brown, M."],"givenName":["Pete","Mike"],"identifier":"9b1d78bb-7bac-440c-ba73-8cd8a1106a2e","incomingCitationCount":0,"keyword":["Data Labs","Biological Records Centre","Biodiversity","Climate and land","BRC"],"keywordsOther":["Data Labs","Biological Records Centre","Biodiversity","Climate and land","BRC"],"licence":"Non-Open government licence","metadataDate":"2026-07-25T10:21:47.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Application","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b1d78bb-7bac-440c-ba73-8cd8a1106a2e"],"resourceType":"Application","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"Biological Records Centre (BRC) R package for combining species trend estimates into multispecies indicators, including novel hierarchical Bayesian methods.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the…","state":"published","title":"BRCindicators","version":1.0,"view":["jakqui","public","dbr","hele"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/ukscape/documents?page=4"}