{"numFound":326,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=rightsHolder%7CUK+Centre+for+Ecology+%26+Hydrology&facet=funder%7CNatural+Environment+Research+Council&facet=resourceStatus%7CAvailable","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=rightsHolder%7CUK+Centre+for+Ecology+%26+Hydrology&facet=funder%7CNatural+Environment+Research+Council&facet=resourceStatus%7CAvailable","results":[{"publicationDate":"2023-08-31T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Smithsonian Institution, US","Insectarium de Montréal","Aarhus University","Naturalis Biodiversity Center","Canadian National Collection of Insects"],"authorGivenName":["T.","Y.","D.","A.","T.T.","C.","M.","S.","D.B."],"authorFamilyName":["August","Basset","Boislard","Carbone","Gomez-Segura","Høye","Huijbers","Larrivée","Schmidt","Teagle","Roy"],"authorFullName":["August, T.","Basset, Y.","Boislard, T.","Carbone, D.","Gomez-Segura, A.","Høye, T.T.","Huijbers, C.","Larrivée, M.","Schmidt, C.","Teagle, S.","Roy, D.B."],"authorOrcid":["https://orcid.org/0000-0003-1116-3385","https://orcid.org/0000-0002-1942-5717","https://orcid.org/0000-0002-4480-2684","https://orcid.org/0009-0003-5290-786X","https://orcid.org/0000-0002-9575-7262","https://orcid.org/0000-0001-5387-3284","https://orcid.org/0000-0001-5206-3415","https://orcid.org/0000-0002-2925-3736","https://orcid.org/0000-0002-5965-1890","https://orcid.org/0000-0002-8824-8435","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Audible and ultrasound recordings in Panama for the purpose of monitoring bird and bat calls. The recordings were taken across 4 sites in Barro Colorado Island and the Gamboa forest region around sunrise and sunset hours between the 21st and the 26th of January 2023. Audible recordings were made using SM4 song meter, whilst ultrasound was recorded using a SM4BAT song meter. The Parties involved in data collection are listed in the author section. No data are missing.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/W004216/1"],"identifier":"eeb7c6dc-2ad8-4375-ad86-523a6e570170","incomingCitationCount":0,"givenName":["T.","Y.","D.","A.","T.T.","C.","M.","S.","D.B.","Dylan"],"familyName":["August","Basset","Boislard","Carbone","Gomez-Segura","Høye","Huijbers","Larrivée","Schmidt","Teagle","Roy"],"fullName":["August, T.","Basset, Y.","Boislard, T.","Carbone, D.","Gomez-Segura, A.","Høye, T.T.","Huijbers, C.","Larrivée, M.","Schmidt, C.","Teagle, S.","Roy, D.B."],"keyword":["Panama","Bird song","Bat calls","ultrasound","bird","chiropteran"],"keywordsOther":["Panama","Bird song","Bat calls","ultrasound","bird","chiropteran"],"licence":"Non-Open government licence","lineage":"Audible and ultrasounds recordings were taken at 4 sites across Barro Colorado Island and the Gamboa forest region around sunrise and sunset hours between the 21st and the 26th of January 2023. Audible recordings were made using SM4 song meter, whilst ultrasound was recorded using a SM4BAT song meter.","locations":["POLYGON((-79.869 9.135, -79.869 9.181, -79.817 9.181, -79.817 9.135, -79.869 9.135))"],"orcid":["https://orcid.org/0000-0003-1116-3385","https://orcid.org/0000-0002-1942-5717","https://orcid.org/0000-0002-4480-2684","https://orcid.org/0009-0003-5290-786X","https://orcid.org/0000-0002-9575-7262","https://orcid.org/0000-0001-5387-3284","https://orcid.org/0000-0001-5206-3415","https://orcid.org/0000-0002-2925-3736","https://orcid.org/0000-0002-5965-1890","https://orcid.org/0000-0002-8824-8435","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Smithsonian Institution, US","Insectarium de Montréal","Aarhus University","Naturalis Biodiversity Center","Canadian National Collection of Insects","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eeb7c6dc-2ad8-4375-ad86-523a6e570170","10.5285/eeb7c6dc-2ad8-4375-ad86-523a6e570170"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Audible and ultrasound recordings to survey birds and bats on Barro Colorado Island and in the Gamboa forest region, Panama, January 2023","version":1.0,"view":["public","clwe"],"shortenedDescription":"Audible and ultrasound recordings in Panama for the purpose of monitoring bird and bat calls. The recordings were taken across 4 sites in Barro Colorado Island and the Gamboa forest region around sunrise and sunset hours between the 21st and the 26th of January 2023...."},{"publicationDate":"2024-08-29T00:00:00.000+00:00","authorAffiliation":["Royal University of Bhutan","Scotland's Rural College (SRUC)","Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU)","Indian Agricultural Statistics Research Institute","KIIT University","University of Agriculture","University of Peradeniya","The Maldives National University","Ricardo (Harwell)","The University of Edinburgh","Kathmandu University"],"authorGivenName":["D.","T.","S.","K.","A.R.","S.C.","G.K.","R.N.","V.V.","A.","M.","U.","R.","Z.A.","F.","B.","V."],"authorFamilyName":["Tshering","Dorji","Dendup","Begho","Glenk","Anik","Sharna","Jha","Jena","Subudhi","Giri","Samal","Abbas","Pinnawala","Nissanka","Jayaweera","Wijerathna","Prabavi","Hassan","Rasheed","Shadiya","Fairooza","Avis","Jeffery","Joshi","Nepal","Shrestha","Pokharel","Subodh","Eory"],"authorFullName":["Tshering, D.","Dorji, T.","Dendup, S.","Begho, T.","Glenk, K.","Anik, A.R.","Sharna, S.C.","Jha, G.K.","Jena, D.","Subudhi, R.N.","Giri, V.V.","Samal, S.","Abbas, A.","Pinnawala, M.","Nissanka, S.","Jayaweera, A.","Wijerathna, M.","Prabavi, U.","Hassan, R.","Rasheed, Z.A.","Shadiya, F.","Fairooza, F.","Avis, K.","Jeffery, R.","Joshi, R.","Nepal, B.","Shrestha, R.","Pokharel, A.","Subodh, S.","Eory, V."],"catalogue":"eidc","description":"This dataset holds survey data of individual farming households in the Eastern region in Bhutan relating to their nitrogen use. The survey was conducted in 2022 and the questions covered two seasons (2022 and 2021 farming seasons) asked at a single visit in the 2022 season. The questions on the winter season were based on recall.\n\nThe data cover the following topics: household characteristics, general farm characteristics, plot characteristics, crop production and harvest, synthetic and organic fertiliser use and compost production, labour, irrigation, pesticides, livestock, information sources, drivers of and barriers to adoption of sustainable practices, attitude, behaviour, perception and opinion, household expenditure and income, household asset and wealth, subsidies.\n\nThe data were collected primarily to assess differences in nitrogen use efficiency (NUE) and sustainable nitrogen practices between households. The data also aim to enhance understanding of farmers’ attitudes, opinion and decision making affecting NUE in crop production and farm related factors which enable adoption of sustainable practices. \n\nThe data are part of a wider SANH (South Asian Nitrogen Hub) harmonised household survey covering Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S009019/1"],"identifier":"cd35ca67-8121-4a0d-81c9-c4a7fae25117","incomingCitationCount":0,"givenName":["D.","T.","S.","K.","A.R.","S.C.","G.K.","R.N.","V.V.","A.","M.","U.","R.","Z.A.","F.","B.","V.","Toritseju"],"familyName":["Tshering","Dorji","Dendup","Begho","Glenk","Anik","Sharna","Jha","Jena","Subudhi","Giri","Samal","Abbas","Pinnawala","Nissanka","Jayaweera","Wijerathna","Prabavi","Hassan","Rasheed","Shadiya","Fairooza","Avis","Jeffery","Joshi","Nepal","Shrestha","Pokharel","Subodh","Eory"],"fullName":["Tshering, D.","Dorji, T.","Dendup, S.","Begho, T.","Glenk, K.","Anik, A.R.","Sharna, S.C.","Jha, G.K.","Jena, D.","Subudhi, R.N.","Giri, V.V.","Samal, S.","Abbas, A.","Pinnawala, M.","Nissanka, S.","Jayaweera, A.","Wijerathna, M.","Prabavi, U.","Hassan, R.","Rasheed, Z.A.","Shadiya, F.","Fairooza, F.","Avis, K.","Jeffery, R.","Joshi, R.","Nepal, B.","Shrestha, R.","Pokharel, A.","Subodh, S.","Eory, V."],"keyword":["Bhutan","South Asia","Agriculture","agricultural economics","agricultural production","compost","crop production","decision making","economics","fertiliser","gender","Livestock","manure","nitrogen","nitrogen use efficiency","subsidies","water"],"keywordsPlace":["Bhutan","South Asia"],"keywordsTheme":["Agriculture"],"keywordsOther":["agricultural economics","agricultural production","compost","crop production","decision making","economics","fertiliser","gender","Livestock","manure","nitrogen","nitrogen use efficiency","subsidies","water"],"licence":"Open government licence","lineage":"The target population for the proposed survey was households engaged in agriculture in Trashigang Dzongkhag, hence it was purposively selected. Out of 20 Dzongkhags, Trashigang has one of the highest number of people directly engaged in agriculture and also has one of the largest land areas used for agriculture. The sampling for the study involved randomly selecting two villages from each of the following four locations: Kanglung, Khaling, Thrimshing, and Yangneer. In each village, 30 households were also randomly sampled, resulting in a total of 120 households per location and a comprehensive sample size across all locations.\n\nThe survey was administered in person in farmers’ homes, field or pre-agreed location in the community where the farmer lives. Enumerators entered farmers’ responses to each question in a pre-prepared template which was then transferred to the CSV data file.\n\nThe data were prepared for the requirements of the study and made ready for analysis by removing duplicate records, spelling errors, differences in capitalisation and spacing, inconsistent formats, mixed numerical scales and mixed ranges.","locations":["POLYGON((90.626 26.765, 90.626 28.067, 92.093 28.067, 92.093 26.765, 90.626 26.765))"],"organisation":["Royal University of Bhutan","Scotland's Rural College (SRUC)","Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU)","Indian Agricultural Statistics Research Institute","KIIT University","University of Agriculture","University of Peradeniya","The Maldives National University","Ricardo (Harwell)","The University of Edinburgh","Kathmandu University","NERC EDS Environmental Information Data Centre","Scotland’s Rural College","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cd35ca67-8121-4a0d-81c9-c4a7fae25117","10.5285/cd35ca67-8121-4a0d-81c9-c4a7fae25117"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Scotland’s Rural College","Royal University of Bhutan","UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","title":"Farming household survey for the evaluation of nitrogen options for economic and social benefit in the eastern region of Bhutan, 2022","topic":["0/Agriculture/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset holds survey data of individual farming households in the Eastern region in Bhutan relating to their nitrogen use. The survey was conducted in 2022 and the questions covered two seasons (2022 and 2021 farming seasons) asked at a single visit in the 2022..."},{"publicationDate":"2024-05-20T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.\n\nThe 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"96bc980a-31b4-4d1b-87e9-007d4932a56b","incomingCitationCount":0,"givenName":["C.G","R.D.","C.G.","A.W.","C.S."],"familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Great Britain","Land cover","Biodiversity Action Plan","mapping","land cover","habitat"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"keywordsOther":["Biodiversity Action Plan","mapping","land cover","habitat"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentationaccompanying this dataset.\n\nThe 1 km percentage and dominant products are created by calculating the percentage cover for each land cover classes for every 1km x 1km pixel, then reporting the dominant land cover class with the highest percentage cover for each 1km pixel.","locations":["POLYGON((-10.679 49.81, -10.679 60.861, 1.768 60.861, 1.768 49.81, -10.679 49.81))"],"orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/96bc980a-31b4-4d1b-87e9-007d4932a56b","10.5285/96bc980a-31b4-4d1b-87e9-007d4932a56b"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2023 (1km summary rasters, GB and N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action..."},{"publicationDate":"2022-10-04T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","M.","E.J. ","S.","R.","T.","Y."],"authorFamilyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"authorFullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"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 averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 3x3 km2 grid for the year 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"8750607d-1e8f-4b39-a61d-f162f4552d8e","incomingCitationCount":0,"givenName":["J.","M.","Janice","E.J. ","S.","R.","T.","Y."],"familyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"fullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"keyword":["EMEP4UK","EMEP","UK-SCAPE","Pollution","Mapping","Modelling","Coarse nitrate particulate","European and Evaluation Programme","Oxides of sulphur","Reduced nitrogen","nitrogen oxides","sulphur","aerosol","ammonia","dust","sulphur oxide"],"keywordsProject":["EMEP4UK","EMEP","UK-SCAPE"],"keywordsTheme":["Pollution","Mapping","Modelling"],"keywordsOther":["Coarse nitrate particulate","European and Evaluation Programme","Oxides of sulphur","Reduced nitrogen","nitrogen oxides","sulphur","aerosol","ammonia","dust","sulphur oxide"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nThe data are 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\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.\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/0000-0001-7741-9377","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-0411-4860"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8750607d-1e8f-4b39-a61d-f162f4552d8e","10.5285/8750607d-1e8f-4b39-a61d-f162f4552d8e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Liu, Z., Berner, J., Wang, W., Powers, J.G., Duda, M.G., Barker, D.M., & Huang, X.-Y. (2019). A Description of the Advanced Research WRF Model Version 4. UCAR/NCAR.","National Centers For Environmental Prediction/National Weather Service/NOAA/U.S. Department Of Commerce. (2000). NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 [Data set]. UCAR/NCAR - Research Data Archive."],"supplementalName":["The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory "],"title":" European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018","topic":["0/Pollution/","0/Mapping/","0/Modelling/"],"version":1.0,"view":["public","clwe"],"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 averages of vegetation specific atmospheric deposition of..."},{"publicationDate":"2019-03-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University College London","Butterfly Conservation","Botanical Society of Britain and Ireland","Soldier Beetles, Jewel Beetles and Glow-worms Recording Scheme","Dipterists Forum, Hoverfly Recording Scheme","Terrestrial Heteroptera Recording Scheme","British Myriapod and Isopod Group","Aquatic Heteroptera Recording Scheme","Weevil and Bark Beetle Recording Scheme","Staphylinidae Recording Scheme","British Arachnological Society","British Dragonfly Society","Chrysomelidae Recording Scheme","Cranefly Recording Scheme","Riverfly Recording Scheme","Hoverfly Recording Scheme","Conchological Society of Great Britain and Ireland","Gelechiid Recording Scheme","Lacewings and Allies Recording Scheme","British Lichen Society","Grasshoppers and Related Insects Recording Scheme","Ground Beetle Recording Scheme","Riverfly Recording Schemes"],"authorGivenName":["C.L.","G.D.","T.A.","R.E.","S.","O.","M.","H.E.","R.","K.","D.B.","T.","B.C.","J.","A.","P.","D.","C.","I.","N.J.B."],"authorFamilyName":["Outhwaite","Powney","August","Chandler","Rorke","Pescott","Harvey","Roy","Fox","Walker","Alexander","Ball","Bantock","Barber","Beckmann","Cook","Flanagan","Fowles","Hammond","Hepper","Hubble","Kramer","Lee","MacAdam","Morris","Norris","Palmer","Plant","Simkin","Stubbs","Sutton","Telfer","Wallace","Isaac"],"authorFullName":["Outhwaite, C.L.","Powney, G.D.","August, T.A.","Chandler, R.E.","Rorke, S.","Pescott, O.","Harvey, M.","Roy, H.E.","Fox, R.","Walker, K.","Roy, D.B.","Alexander, K.","Ball, S.","Bantock, T.","Barber, T.","Beckmann, B.C.","Cook, T.","Flanagan, J.","Fowles, A.","Hammond, P.","Harvey, P.","Hepper, D.","Hubble, D.","Kramer, J.","Lee, P.","MacAdam, C.","Morris, R.","Norris, A.","Palmer, S.","Plant, C.","Simkin, J.","Stubbs, A.","Sutton, P.","Telfer, M.","Wallace, I.","Isaac, N.J.B."],"authorOrcid":["https://orcid.org/0000-0001-9997-6780","https://orcid.org/0000-0003-3313-7786","https://orcid.org/0000-0002-1116-222X","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/05jg03a59","https://ror.org/02krbn758","https://ror.org/050arpw16"],"catalogue":"eidc","description":"This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland, Wales and Northern Ireland as well as for the UK and Great Britain (GB) where possible. These data were generated using observations of species collated by UK recording schemes and societies as the input data for a Bayesian occupancy model. The outputs resulting from this modelling framework are presented in three forms:\n•\t1000 samples from the modelled posterior distribution of the proportion of occupied sites for each species for each year and for each region analysed.\n•\tSummary tables from the model outputs detailing mean occupancy and associated statistics including credible intervals and rhat measure of convergence.\n•\tDerived species trend estimates in the form of annual percentage growth rates.\n\nAnnual estimates derived from fine-grained data (1x1km squares) have not been determined for this set of species before, making this a unique dataset that broadens knowledge on UK biodiversity change. \n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"0ec7e549-57d4-4e2d-b2d3-2199e1578d84","incomingCitationCount":5,"givenName":["Charlie","Nick","C.L.","G.D.","T.A.","R.E.","S.","O.","M.","H.E.","R.","K.","D.B.","T.","B.C.","J.","A.","P.","D.","C.","I.","N.J.B."],"familyName":["Outwaite","Isaac","Outhwaite","Powney","August","Chandler","Rorke","Pescott","Harvey","Roy","Fox","Walker","Alexander","Ball","Bantock","Barber","Beckmann","Cook","Flanagan","Fowles","Hammond","Hepper","Hubble","Kramer","Lee","MacAdam","Morris","Norris","Palmer","Plant","Simkin","Stubbs","Sutton","Telfer","Wallace"],"fullName":["Outwaite, C.","Isaac, N.","Outhwaite, C.L.","Powney, G.D.","August, T.A.","Chandler, R.E.","Rorke, S.","Pescott, O.","Harvey, M.","Roy, H.E.","Fox, R.","Walker, K.","Roy, D.B.","Alexander, K.","Ball, S.","Bantock, T.","Barber, T.","Beckmann, B.C.","Cook, T.","Flanagan, J.","Fowles, A.","Hammond, P.","Harvey, P.","Hepper, D.","Hubble, D.","Kramer, J.","Lee, P.","MacAdam, C.","Morris, R.","Norris, A.","Palmer, S.","Plant, C.","Simkin, J.","Stubbs, A.","Sutton, P.","Telfer, M.","Wallace, I.","Isaac, N.J.B."],"keyword":["UK","GB","England","Scotland","Wales","Northern Ireland","Occurrence","Trends","Range","lichen","bryophyte","invertebrate","UK-SCAPE"],"keywordsPlace":["UK","GB","England","Scotland","Wales","Northern Ireland"],"keywordsOther":["Occurrence","Trends","Range","lichen","bryophyte","invertebrate","UK-SCAPE"],"licence":"Open government licence","lineage":"These data were generated using observations of species occurrence as the input data for a Bayesian occupancy model. The modelling framework implemented was based on that developed to improve precision of occupancy estimates when using biological records type data (Outhwaite et al., 2018; https://doi.org/10.1016/j.ecolind.2018.05.010). This allowed the estimation of species occupancy for the largest set of UK species to date.\n\nThe input data used for this study consisted of species occurrence data collated from 29 UK recording schemes and societies. These data are presence only data that consist of a record of a species at a known time and location. Where possible, these input data were supplemented with additional occurrence data in the same form from the Biological Records Centre database and the wildlife recording app iRecord (https://www.brc.ac.uk/irecord/)\n\nThese input datasets were then standardized according to the requirements of the model and to desired coverage. Observations of species had to meet the following criteria to be included in the final input dataset:\n- Date of the record known to the day\n- Location of the record known to 1x1km square precision\n- Record was from 1970 onwards\n- The location of the record was in the UK (strictly England, Northern Ireland, Scotland and Wales)\n\nSpecies names were checked with guidance from the scheme organisers, duplicate records were then removed from the dataset.\nThe occupancy modelling framework used here was based on the random walk model tested by Outhwaite et al., 2018. Alterations made to the modelling framework include country level year effects in the state model and a categorical specification of list length in the detection model. For a complete description of the model and the changes implemented, see the associated data paper.","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/0000-0001-9997-6780","https://orcid.org/0000-0003-3313-7786","https://orcid.org/0000-0002-1116-222X","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-4869-8052"],"organisation":["Centre for Biodiversity and Environment Research, University College London (UCL)","Centre for Ecology & Hydrology","University College London","Butterfly Conservation","Botanical Society of Britain and Ireland","Soldier Beetles, Jewel Beetles and Glow-worms Recording Scheme","Dipterists Forum, Hoverfly Recording Scheme","Terrestrial Heteroptera Recording Scheme","British Myriapod and Isopod Group","Aquatic Heteroptera Recording Scheme","Weevil and Bark Beetle Recording Scheme","Staphylinidae Recording Scheme","British Arachnological Society","British Dragonfly Society","Chrysomelidae Recording Scheme","Cranefly Recording Scheme","Riverfly Recording Scheme","Hoverfly Recording Scheme","Conchological Society of Great Britain and Ireland","Gelechiid Recording Scheme","Lacewings and Allies Recording Scheme","British Lichen Society","Grasshoppers and Related Insects Recording Scheme","Ground Beetle Recording Scheme","Riverfly Recording Schemes","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ec7e549-57d4-4e2d-b2d3-2199e1578d84","10.5285/0ec7e549-57d4-4e2d-b2d3-2199e1578d84"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/05jg03a59","https://ror.org/02krbn758","https://ror.org/050arpw16","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Outhwaite, C. L., Chandler, R. E., Powney, G. D., Collen, B., Gregory, R. D., & Isaac, N. J. B. (2018). Prior specification in Bayesian occupancy modelling improves analysis of species occurrence data. Ecological Indicators, 93, 333-343."],"supplementalName":["Shiny app","iRecord"],"title":"Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK (1970-2015) ","version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland,..."},{"publicationDate":"2020-10-09T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8","incomingCitationCount":0,"givenName":["C.S.","C.G.","R.D.","A.W."],"familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"keyword":["Land cover","Land use","Mapping","UK-SCAPE"],"keywordsTheme":["Land cover","Land use","Mapping"],"keywordsOther":["UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The percentage target class is produced from the 25m raster (which is derived from the vector product) by:\n1. Using gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2. Gdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3. Gdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\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/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8","10.5285/bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 1990 (1km percentage target class, GB) v2","topic":["0/Land cover/","0/Land use/","0/Mapping/"],"version":2.0,"view":["public","clamw"],"shortenedDescription":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one..."},{"publicationDate":"2020-08-26T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey"],"authorGivenName":["A.M.","B.A.","G.","C.H.","C.M."],"authorFamilyName":["Keith","Dodd","Turner","Vane","Wood"],"authorFullName":["Keith, A.M.","Dodd, B.A.","Turner, G.","Vane, C.H.","Wood, C.M."],"authorOrcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0002-8150-3640","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":" This dataset consists of mid-infrared (MIR) spectra measured on 427 archived soil samples from arable and grassland habitats across Great Britain in 2007. Data on diffuse reflectance spectra were obtained from subsamples of finely ground soil, recorded as absorbance values for wavenumber range 4000-400 cm-1. \n\nThe soil samples were collected as part of the Countryside Survey monitoring programme, a unique study or 'audit' of the natural resources of the UK's countryside. The analyses were conducted as part of study aiming to quantify how soil quality indicators change across a gradient of agricultural land management and to identify conditions that determine the ability of different soils to resist and recover from perturbations.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"d66ca0a6-403d-4f5a-bef1-8ee177f1e1b3","incomingCitationCount":0,"givenName":["A.M.","B.A.","G.","C.H.","C.M.","Aidan"],"familyName":["Keith","Dodd","Turner","Vane","Wood"],"fullName":["Keith, A.M.","Dodd, B.A.","Turner, G.","Vane, C.H.","Wood, C.M.","Keith, A."],"keyword":["Countryside Survey","Environmental survey","Soil","soil"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey","Soil"],"keywordsOther":["soil"],"licence":"Open government licence","lineage":"Soil samples were collected in 2007 by Countryside Survey field surveyors, who were provided with a field sampling manual and underwent training for sample collection and processing. Protocols were also provided to cover all aspects of processing of the soil cores from logging in of cores as they arrived at the laboratory to basic measurements, chemical analysis and archiving the final samples. Soils were sieved to 2 mm and air-dried before storage. \n\nEach soil sample was scanned twice to obtain repeat spectra, with the sample cup being rotated 180 degrees between scans, and the average of these two spectra included in the dataset. Each individual spectrum (i.e. both from the paired scans) was visually inspected and those containing scanning errors were discarded.\n\nAll MIR analyses were conducted at the Organic Geochemistry Facility, BGS (contact chv@bgs.ac.uk for details).","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/0000-0001-9619-1320","https://orcid.org/0000-0002-8150-3640","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d66ca0a6-403d-4f5a-bef1-8ee177f1e1b3","10.5285/d66ca0a6-403d-4f5a-bef1-8ee177f1e1b3"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Soil mid-infrared spectroscopy data from arable and grassland in Countryside Survey, Great Britain 2007","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":" This dataset consists of mid-infrared (MIR) spectra measured on 427 archived soil samples from arable and grassland habitats across Great Britain in 2007. Data on diffuse reflectance spectra were obtained from subsamples of finely ground soil, recorded as absorbance..."},{"publicationDate":"2023-05-19T00:00:00.000+00:00","authorAffiliation":["The Mammal Society","UK Centre for Ecology & Hydrology","Sea Watch Foundation"],"authorGivenName":["D.","F.","L.","C.","P.","J.","B."],"authorFamilyName":["Crawley","Coomber","Kubasiewicz","Harrower","Evans","Waggitt","Smith","Mathews"],"authorFullName":["Crawley, D.","Coomber, F.","Kubasiewicz, L.","Harrower, C.","Evans, P.","Waggitt, J.","Smith, B.","Mathews, F."],"authorOrcid":["https://orcid.org/0000-0001-5070-5293"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains 10km summarised occurrence data for terrestrial mammals as mapped in the Atlas of Mammal of Great Britain and Northern Ireland published by the Mammal Society in 2020. For each species 10km grid squares were categorised based on whether the species was recorded in that square only the current atlas time period (2000-2016), only the previous atlas time period (1960-1992) or in both time periods. The dataset contains data for all species mapped in the atlas, with the exception of cetaceans which are not included in the dataset.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"ab61349e-c055-477c-9872-22a4f7cc2473","incomingCitationCount":0,"givenName":["D.","F.","L.","C.","P.","J.","B."],"familyName":["Crawley","Coomber","Kubasiewicz","Harrower","Evans","Waggitt","Smith","Mathews"],"fullName":["Crawley, D.","Coomber, F.","Kubasiewicz, L.","Harrower, C.","Evans, P.","Waggitt, J.","Smith, B.","Mathews, F."],"keyword":["mammal species","occurrence","mammal","distribution"],"keywordsOther":["mammal species","occurrence","mammal","distribution"],"licence":"Open government licence","lineage":"This dataset is a summarised product of the production of the Mammal Atlas and represents the 10km resolution data plotted in the species maps in the atlas.\n\nThe underlying data used in the production of the atlas to determine the summarised distributions came from a wide number of sources, such as the iRecord, National Biodiversity Network (NBN) gateway (now the NBN atlas), local biological records centres, national and local monitoring schemes. Data was provided to the Mammal Society from these sources for the purpose of producing the mammal atlas. Data from iRecord and the Mammal Society’s online recording tools & mammal tracker app were verified and validated by Mammal Society verifiers. The majority of other data had undergone verification and validation prior to being provided to the Mammal Society but the level and extent of QA differed between sources and the QA processes were often not specified in detail. \n\nThe majority of data is opportunistic sightings data, however the dataset does also contain data from structured and or professional surveys.","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/0000-0001-5070-5293"],"organisation":["The Mammal Society","UK Centre for Ecology & Hydrology","Sea Watch Foundation","NERC EDS Environmental Information Data Centre","The Mammal Society "],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ab61349e-c055-477c-9872-22a4f7cc2473","10.5285/ab61349e-c055-477c-9872-22a4f7cc2473"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["The Mammal Society ","UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Occurrence data at 10km resolution for terrestrial mammals in Great Britain and Northern Ireland, 1960-1992 and 2000-2016 v2","version":2.0,"view":["public","jgar"],"shortenedDescription":"This dataset contains 10km summarised occurrence data for terrestrial mammals as mapped in the Atlas of Mammal of Great Britain and Northern Ireland published by the Mammal Society in 2020. For each species 10km grid squares were categorised based on whether the species..."},{"publicationDate":"2025-05-09T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["Heidrun","B.A.","H.","A.G.","K.","G.","S."],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if