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Nested Image result for PCR (Polymerase chain reaction) PCR targeting Cryptosporidium small subunit rDNA was used to screen the samples for the presence of Cryptosporidium followed by identification of the species using sequencing or species-specific real-time PCRs. Where Cryptosporidium hominis or Cryptosporidium parvum were found, isolates were subtyped by sequencing part of a 60 kilodaltons (kDa) glycoprotein gene. Biota samples were collected by Cardiff University staff and transported to the Cryptosporidium Reference Unit, Swansea for testing. DNA from biofilm samples was extracted at Cardiff University. Invertebrates were pooled up to a maximum of 5 larvae per sample and ground in liquid nitrogen before DNA extracted using the Gentra PureGene DNA extraction kit (Qiagen). Fish gut and gill samples (collected from fish culled for food-web studies) were processed by extracting DNA using the QIAamp DNA Mini kit tissue protocol (Qiagen). Faecal samples from fish, collected by gently massaging the gut just above the anus and mammals, collected from the ground in the riparian zone on ad hoc basis had DNA extracted using QIAamp Fast DNA Stool Mini kit. Samples were screened for any Cryptosporidium DNA using a published nested polymerase chain reaction (PCR) targeting the small subunit rhibosomal DNA (rDNA). The presence of DNA from the two main Cryptosporidium species that cause human cryptosporidiosis (Cryptosporidium parvum and Cryptosporidium hominis) was also screened for using species-specific real-time PCRs targeting the Lib13 and A135 genes. Any C. hominis and C. parvum positive samples were subtyped by sequencing part of the 60kDa glycoprotein gene. The prevalence of Cryptosporidium was very low, which could indicate that the water in these upland rivers is not overly contaminated. However, caution must be taken as no water samples were tested as part of this project and the low prevalence may also be linked to the location of the sampling, the sample sizes, the analytical sensitivity of the testing method and/or the potential for the host species tested to actually carry or be infected by Cryptosporidium species.\n\nResults were entered into Excel spreadsheets and exported to comma separated value files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T08:37:41.000Z","organisation":["Public Health Wales","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/84242834-dc78-49a6-83cb-951edac65d18","10.5285/84242834-dc78-49a6-83cb-951edac65d18","doi:10.5285/84242834-dc78-49a6-83cb-951edac65d18"],"resourceType":"Dataset","rightsHolder":["Public Health Wales"],"ror":["https://ror.org/00265c946","https://ror.org/04xw4m193"],"shortenedDescription":"These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various…","state":"published","title":"Cryptosporidium in upland water biota, United Kingdom (2012-2015)","version":1.0,"view":["public","danor"]},{"altTitle":["MaRIUS-G2G-Oudin-monthly"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1891 to 2015.\n\nTo aid interpretation, two additional spatial datasets are provided:\n -\tDigitally-derived catchment areas on a 1km x 1km grid\n -\tEstimated locations of flow gauging stations on a 1km x 1km grid and as a csv file.\n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/).","documentType":"GEMINI_DOCUMENT","familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N.","Bell, V."],"funder":["Natural Environment Research Council"],"givenName":["V.A.","A.C.","A.L.","H.N.","Vicky"],"grant":["NE/L010208/1"],"identifier":"f52f012d-9f2e-42cc-b628-9cdea4fa3ba0","incomingCitationCount":4,"keyword":["Great Britain","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","Soil moisture","drought"],"keywordsOther":["G2G","Grid-to-Grid","River flow","Soil moisture","drought"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Non-Open government licence","lineage":"The flow and soil moisture estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and potential evaporation derived from 5km temperature data (Perry and Hollis, 2005, https://doi.org/10.1002/joc.1161) using the method of Oudin et al. (2005; https://doi.org/10.1016/j.jhydrol.2004.08.026). See Supporting Information for more details.\n","locations":["POLYGON((-8.902 49.771, -8.902 58.882, 3.181 58.882, 3.181 49.771, -8.902 49.771))"],"metadataDate":"2026-07-25T18:07:16.000Z","orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0","10.5285/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0","doi:10.5285/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for…","state":"published","supplementalDescription":["Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. "],"supplementalName":["Marius project website"],"title":"Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain (1891 to 2015): observed driving data [MaRIUS-G2G-Oudin-monthly]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"altTitle":["UK Ecological Survey 1978"],"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Bunce","Wood","Henrys","Smart","Howard","Barr"],"authorFullName":["Bunce, R.G.H.","Wood, C.M.","Henrys, P.A.","Smart, S.M.","Howard, D.C.","Barr, C.J."],"authorGivenName":["R.G.H.","C.M.","P.A.","S.M.","D.C.","C.J."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-4494-7450"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. 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. This dataset consists of stock data for habitats across Great Britain in 1978. The data are national estimates generated by analysing the sample data from 256 1km squares and scaling up to a national level. The data are summarized as habitat area per Land Class. 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 with repeated visits to the majority of squares. In addition to habitat areas, species plot, soil plot, linear habitat, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Wood","Henrys","Smart","Howard","Barr"],"fullName":["Bunce, R.G.H.","Wood, C.M.","Henrys, P.A.","Smart, S.M.","Howard, D.C.","Barr, C.J.","Wood, C."],"givenName":["R.G.H.","C.M.","P.A.","S.M.","D.C.","C.J.","Claire"],"identifier":"c8feabac-7c3f-4c35-91f7-296782b957d1","incomingCitationCount":1,"keyword":["Great Britain","UKCEH Countryside Survey","Environmental survey"],"keywordsPlace":["Great Britain"],"keywordsProject":["UKCEH Countryside Survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1977 and 1978 by surveyors. Data were recorded from 256 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in 2009. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (1990 version). Also see: Countryside Survey: Measuring Habitat Change Over 30 Years. 1978 Data Rescue - Final Report (2012) Wood C.M., Howard D.C., Henrys P.A., Bunce R.G.H., Smart S.M.","locations":["POLYGON((-9 49, -9 61.38, 3.34 61.38, 3.34 49, -9 49))"],"metadataDate":"2026-07-25T14:03:37.000Z","orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-4494-7450"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c8feabac-7c3f-4c35-91f7-296782b957d1","10.5285/c8feabac-7c3f-4c35-91f7-296782b957d1","doi:10.5285/c8feabac-7c3f-4c35-91f7-296782b957d1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results…","state":"published","supplementalDescription":["Wood, C.M.; Howard, D.C.; Henrys, P.A.; Bunce, R.G.H.; Smart, S.M.. 2012 Countryside Survey: measuring habitat change over 30 years: 1978 data rescue - final report. Lancaster, NERC/Centre for Ecology & Hydrology, 18pp. (CEH Project Number: C03689)"],"supplementalName":["Countryside Survey website"],"title":"Countryside Survey 1978 estimates of Broad Habitat areas in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh","UK Centre for Ecology and Hydrology"],"authorFamilyName":["Baker","Cottrell","Ennos","Perry","Cavers"],"authorFullName":["Baker, J.","Cottrell, J.","Ennos, R.","Perry, A.","Cavers, S."],"authorGivenName":["James","Joan","Richard","Annika","Stephen"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","R"],"description":"These data comprise 12 different measurements, including single traits (e.g. needle length) as well as repeated, yearly phenology measurements over time (autumn 2022 to summer 2025) from a common garden trial of juniper trees planted in Cardrona, the Scottish Borders. Seeds from 16 natural juniper populations were germinated, and seedlings were raised in a glasshouse at the UKCEH, Edinburgh, then planted in the field in August 2022. The field site is a seminatural research site owned by Forestry and Land Scotland and managed by Forest Research. It occupies a hillside at approximately 350 metres of elevation and with a west-southwest aspect, and grazing is controlled by deer fences and culls. \nThis deposit also includes R scripts that can be used for transformations and analyses of the data, including univariate and multivariate analyses of quantitative data and correlating these measurements with climate variables (downloaded for each source population location from the CHELSA database).\nThese plants were part of a PhD project conducted to evaluate the standing genetic diversity and adaptive capability of natural populations.","documentType":"GEMINI_DOCUMENT","familyName":["Baker","Cottrell","Ennos","Perry","Cavers"],"fullName":["Baker, J.","Cottrell, J.","Ennos, R.","Perry, A.","Cavers, S."],"funder":["Natural Environment Research Council","Scottish Forestry Trust","Scottish Research","The Botanist Foundation"],"givenName":["James","Joan","Richard","Annika","Stephen","J."],"grant":["NE/V019813/1"],"identifier":"6952cab2-35be-494f-9253-5873e7fa7f74","incomingCitationCount":0,"keyword":["Biodiversity","Evolutionary ecology","Phenology","Juniperus communis","Common juniper tree","Common garden trial","Quantitative genetics"],"keywordsOther":["Juniperus communis","Common juniper tree","Common garden trial","Phenology","Quantitative genetics","Evolutionary ecology"],"keywordsTheme":["Biodiversity","Evolutionary ecology","Phenology"],"licence":"Open government licence","lineage":"These data were recorded in the field by the depositor with the exception of the 2022 bud burst phenology data, which was recorded in the glasshouse prior to transplantation at the field site. The data included in this submission are the raw measurements, and the included R scripts include all processing and analytical steps for quantitative and phenological data. \n\nThe Chlorophyll fluorescence data was pre-processed by hand, using field notes to remove erroneous scans and match scans to the appropriate plants due to the nature of data recording and the need for proprietary software (\"Hansatech\") to access the raw data.","locations":["POLYGON((-3.185 55.591, -3.185 55.639, -3.108 55.639, -3.108 55.591, -3.185 55.591))"],"metadataDate":"2026-07-25T06:46:42.000Z","organisation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh","UK Centre for Ecology and Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6952cab2-35be-494f-9253-5873e7fa7f74","10.5285/6952cab2-35be-494f-9253-5873e7fa7f74","doi:10.5285/6952cab2-35be-494f-9253-5873e7fa7f74"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise 12 different measurements, including single traits (e.g. needle length) as well as repeated, yearly phenology measurements over time (autumn 2022 to summer 2025) from a common garden trial of juniper trees planted in Cardrona, the Scottish Borders.…","state":"published","title":"Quantitative genetics of common juniper trees in a common garden trial in Cardrona, Scotland, 2022-2025","topic":["0/Biodiversity/","0/Evolutionary ecology/","0/Phenology/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","O'Neil, A.W."],"authorGivenName":["C.S. ","C.G.","A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel dataset with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.S. ","C.G.","A.W."],"grant":["NE/Y006208/1"],"identifier":"99ecdc84-5313-48c2-9fad-6a5e8ad3953e","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","Biodiversity Action Plan","land cover","map","habitat"],"keywordsOther":["Biodiversity Action Plan","land cover","map","habitat"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"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 is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. 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 LCM2024 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 documentation.\n\nThe 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T10:21:26.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/99ecdc84-5313-48c2-9fad-6a5e8ad3953e","10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e","doi:10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel…","state":"published","title":"Land Cover Map 2024 (land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["The University of Edinburgh","Department of Veterinary Services","University of Zambia","Lancaster University"],"authorFamilyName":["Anderson","Mulenga","Mashili","Simuunza","Machila","Atkinson","Welburn"],"authorFullName":["Anderson, N.E.","Mulenga, G.","Mashili, J.","Simuunza, M.","Machila, N.","Atkinson, P.M.","Welburn, S.C."],"authorGivenName":["N.E.","G.","J.","M.","N.","P.M.","S.C."],"authorOrcid":["https://orcid.org/0000-0001-7192-7717","https://orcid.org/0000-0002-3611-5016","https://orcid.org/0000-0001-6637-2673","https://orcid.org/0000-0001-6621-7470","https://orcid.org/0000-0002-1149-6166","https://orcid.org/0000-0002-5489-6880","https://orcid.org/0000-0002-9903-7086"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/03gh19d69","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This resource contains tsetse fly count data recorded during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. Tsetse sampling was conducted along a 60 kilometre transect from the plateau region on the eastern side of the Luangwa Valley to the floor of the valley, near Mfuwe Airport. Tsetse flies were sampled using black screen fly rounds. The first survey was conducted in May and June (cold, dry season) and the second survey in November (hot dry season). The Luangwa Valley in Zambia is an old focus of human sleeping sickness (Trypanosoma brucei rhodesiense) and sporadic outbreaks have occurred in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing the distribution and density of tsetse. This work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA).","documentType":"GEMINI_DOCUMENT","familyName":["Anderson","Mulenga","Mashili","Simuunza","Machila","Atkinson","Welburn"],"fullName":["Anderson, N.E.","Mulenga, G.","Mashili, J.","Simuunza, M.","Machila, N.","Atkinson, P.M.","Welburn, S.C.","Anderson, N."],"funder":["Natural Environment Research Council"],"givenName":["N.E.","G.","J.","M.","N.","P.M.","S.C.","Neil"],"grant":["NE/J000701/1"],"identifier":"59fc6e1a-e1cb-4bcf-8b49-68211b2a363a","incomingCitationCount":0,"keyword":["Zambia","Luangwa Valley","Dynamic Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation Programme (ESPA)","Tsetse","Glossina morsitans morsitans","Trypanosoma brucei rhodesiense"],"keywordsOther":["Tsetse","Glossina morsitans morsitans","Trypanosoma brucei rhodesiense"],"keywordsPlace":["Zambia","Luangwa Valley"],"keywordsProject":["Dynamic Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation Programme (ESPA)"],"licence":"Open government licence","lineage":"Tsetse surveys were conducted in May / June 2013 and November 2013. Tsetse flies were sampled using black screen fly rounds. Data were recorded on standard field sampling forms and then manually transferred to Microsoft Excel. Data were then checked for accuracy and incorrect spatial location coordinates removed. Data were then exported as comma separated files for ingestion into the Environmental Data Information Centre.","locations":["POLYGON((31.826 -13.828, 31.826 -13.248, 32.094 -13.248, 32.094 -13.828, 31.826 -13.828))"],"metadataDate":"2026-07-24T23:07:57.000Z","orcid":["https://orcid.org/0000-0001-7192-7717","https://orcid.org/0000-0002-3611-5016","https://orcid.org/0000-0001-6637-2673","https://orcid.org/0000-0001-6621-7470","https://orcid.org/0000-0002-1149-6166","https://orcid.org/0000-0002-5489-6880","https://orcid.org/0000-0002-9903-7086"],"organisation":["The University of Edinburgh","Department of Veterinary Services","University of Zambia","Lancaster University","University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59fc6e1a-e1cb-4bcf-8b49-68211b2a363a","10.5285/59fc6e1a-e1cb-4bcf-8b49-68211b2a363a","doi:10.5285/59fc6e1a-e1cb-4bcf-8b49-68211b2a363a"],"resourceType":"Dataset","ror":["https://ror.org/01nrxwf90","https://ror.org/03gh19d69","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This resource contains tsetse fly count data recorded during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. Tsetse sampling was conducted along a 60 kilometre transect from the plateau region on the eastern side of the Luangwa Valley to…","state":"published","title":"Tsetse (Glossina morsitans morsitans) count data from Eastern Province, Zambia, (2013)","version":1.0,"view":["public","danor"]},{"altTitle":["IHU Catchments"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Kral","Fry","Dixon"],"authorFullName":["Kral, F.","Fry, M.","Dixon, H."],"authorGivenName":["F.","M.","H."],"authorOrcid":["https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0002-7415-063X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. This dataset was derived from the Integrated Hydrological Terrain Model. A Catchment represents the full area upstream from a Section outlet, which is a cell upstream of a confluence of two watercourses with known names. While Sections do not overlap, Catchments can overlap because one Catchment contains Catchments for all upstream Sections. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.","documentType":"GEMINI_DOCUMENT","familyName":["Kral","Fry","Dixon"],"fullName":["Kral, F.","Fry, M.","Dixon, H."],"givenName":["F.","M.","H.","Matt"],"identifier":"10d419c8-8f65-4b85-a78a-3d6e0485fa1f","incomingCitationCount":0,"keyword":["United Kingdom","Great Britain","England","Wales","Scotland","Hydrology","catchment","watershed","hydrology"],"keywordsOther":["catchment","watershed","hydrology"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The main inputs for development of Integrated Hydrological Units (IHU) of the UK were data held by the Centre for Ecology & Hydrology. Specifically, the cumulative catchment area raster and outflow raster from the Integrated Hydrological Digital Terrain Model (IHDTM) [1]. The vast majority of the watercourse names come from the subset of CEH UK river centreline network enriched by names from Ordnance Survey 1:50K Gazetteer [2]. Some names were obtained from or verified using other readily available sources like OpenStreetMap (openstreetmap.org) and WikiPedia (wikipedia.org). Bespoke FORTRAN functions, part of the CEH Flood Estimation Handbook code set, were used for catchment delineation. These functions enable sensible interlocking catchments boundaries to be created for the whole IHDTM surface. The option that does not leave gaps between catchments was specified [1]. Except for the catchment delineation, ArcGIS was used as the main GIS platform. Custom Python code was developed to drive the whole process and to perform hierarchical and network tasks. The full name of each IHU Section was derived from three rivers defining the section: the largest (in terms of cumulative catchment area) inflowing river other than the main river in the Section, the main river in the Section, and the largest river flowing into the downstream Section. If no such inflows exist, words'Source', 'Sea', or the name of the main river in the downstream Section are used as appropriate. A similar approach was adopted for IHU Group names, although group names were edited manually to a great extent to ensure they are simple and readily understood.\n\n[1] Morris, D.G. and Flavin, R.W. 1990. A Digital Terrain Model for Hydrology. Proc 4th Int. Symposium on Spatial Data Handling. Zurich, 1, 250-262.\n[2] Moore R V, Morris D G and Flavin R W, 1994. Sub-set of UK digital 1:50,000 scale river centreline network. NERC, Institute of Hydrology, Wallingford.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:07:23.000Z","orcid":["https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0002-7415-063X"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1425380855141","CEH:EIDC::1425380855141","https://catalogue.ceh.ac.uk/id/10d419c8-8f65-4b85-a78a-3d6e0485fa1f","10.5285/10d419c8-8f65-4b85-a78a-3d6e0485fa1f","doi:10.5285/10d419c8-8f65-4b85-a78a-3d6e0485fa1f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. This dataset was derived from the Integrated Hydrological Terrain…","state":"published","supplementalDescription":["National River Flow Archive website providing access to river flow data downloads as well as contact information for the NRFA enquirers service which provides other datasets and monthly, annual and occasional reports on river flow conditions."],"supplementalName":["National River Flow Archive website"],"title":"Integrated Hydrological Units of the United Kingdom: Catchments","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Stirling","University of East London","University of London","University of Dundee","Cranfield University"],"authorFamilyName":["Spring","Bishop","Pawlett","Robinson","Grieve","Chudek","Hopkins","Harris","Davidson"],"authorFullName":["Spring, C.A.","Bishop, H.O.","Pawlett, M.","Robinson, C.H.","Grieve, I.C.","Chudek, J.A.","Hopkins, D.W.","Harris, J.A.","Davidson, D.A."],"authorGivenName":["C.A.","H.O.","M.","C.H.","I.C.","J.A.","D.W.","J. A.","D.A."],"authorRor":["https://ror.org/045wgfr59","https://ror.org/057jrqr44","https://ror.org/03h2bxq36","https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises botanical composition and earthworm species and abundance data, sampled from a mesocosm experiment (named Sweethope) in October 2001.   The mesocosm site replicated the layout of the main experimental plots at the NERC Soil Biodiversity site at Sourhope, Scotland and was established to avoid contaminating the main Sourhope plots.\n\nThe NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Spring","Bishop","Pawlett","Robinson","Grieve","Chudek","Hopkins","Harris","Davidson","Sier"],"fullName":["Spring, C.A.","Bishop, H.O.","Pawlett, M.","Robinson, C.H.","Grieve, I.C.","Chudek, J.A.","Hopkins, D.W.","Harris, J.A.","Davidson, D.A.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["C.A.","H.O.","M.","C.H.","I.C.","J.A.","D.W.","J. A.","D.A.","Andrew"],"identifier":"ca8f85c5-0595-4fda-80e5-4f41839effed","incomingCitationCount":0,"keyword":["Sourhope ","Scottish borders","Biodiversity","Soil","Vascular plants","earthworm"],"keywordsOther":["Vascular plants","earthworm"],"keywordsPlace":["Sourhope ","Scottish borders"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Soil samples were collected by students and staff at the experimental site before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.249 55.465, -2.249 55.481, -2.214 55.481, -2.214 55.465, -2.249 55.465))"],"metadataDate":"2026-07-25T14:04:40.000Z","organisation":["University of Stirling","University of East London","University of London","University of Dundee","Cranfield University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ca8f85c5-0595-4fda-80e5-4f41839effed","10.5285/ca8f85c5-0595-4fda-80e5-4f41839effed","doi:10.5285/ca8f85c5-0595-4fda-80e5-4f41839effed"],"resourceType":"Dataset","ror":["https://ror.org/045wgfr59","https://ror.org/057jrqr44","https://ror.org/03h2bxq36","https://ror.org/05cncd958","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises botanical composition and earthworm species and abundance data, sampled from a mesocosm experiment (named Sweethope) in October 2001.   The mesocosm site replicated the layout of the main experimental plots at the NERC Soil Biodiversity site at…","state":"published","supplementalDescription":["Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113. "],"supplementalName":["Soil Biodiversity website "],"title":"Earthworm and botanical data from the Sweethope mesocosm experimental site, Sourhope, Scotland, 2001 [NERC Soil Biodiversity Programme]","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Stirling","Earlham Institute","Laboratoire de Géologie de l’École Normale Supérieure","Scottish Universities Environmental Research Centre, University of Glasgow","Colorado State University","Agence Nationale des Parcs Nationaux (ANPN), Gabon"],"authorFamilyName":["Carmona","Messer","Abernethy","Abiven","Ascough","Blaikie","Cotrufo","Evouna Ondo","Jeffery","Lebrun Thauront","Subke"],"authorFullName":["Carmona, C.R.","Messer, L.","Abernethy, K.","Abiven, S.","Ascough, P.","Blaikie, P.","Cotrufo, M.F.","Evouna Ondo, F.","Jeffery, K.","Lebrun Thauront, J.","Subke, J."],"authorGivenName":["Carmen Rosa","Lauren","Katherine","Samuel","Philippa","Pauline","M. Francesca","Fidèle","Kathryn","Johanne","Jens-Arne"],"authorOrcid":["https://orcid.org/0000-0002-4927-7663","https://orcid.org/0000-0002-8335-2807","https://orcid.org/0000-0002-0393-9342","https://orcid.org/0000-0002-5663-0912","https://orcid.org/0000-0001-6529-2903","https://orcid.org/0000-0002-1447-9484","https://orcid.org/0000-0002-6191-8953","https://orcid.org/0000-0002-6563-6240","https://orcid.org/0000-0002-2632-0008","https://orcid.org/0000-0002-7248-0723"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/018cxtf62","https://ror.org/05vg9cw43","https://ror.org/03k1gpj17"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set reports the %carbon, %nitrogen, texture, organic matter, size fractions, pyrogenic carbon, 14C, d13C, pH, bulk density throughout soil profiles in tropical savannah soils under contrasting burn frequencies. Samples were collected in 7 spatial blocks within the Lopé National Park, Gabon (0.156-0.192°S, 11.574-11.635°E) during two field campaigns in 2022 and 2023, respectively. Within each block, there were two savannahs with either frequent (annual) fire recurrence, or low fire recurrence (no more than 1 fire in past 20 years). \n\nData were collected to understand abundance and distribution of pyrogenic carbon in frequently burned savannah soils. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/T008040/1).","documentType":"GEMINI_DOCUMENT","familyName":["Carmona","Messer","Abernethy","Abiven","Ascough","Blaikie","Cotrufo","Evouna Ondo","Jeffery","Lebrun Thauront","Subke"],"fullName":["Carmona, C.R.","Messer, L.","Abernethy, K.","Abiven, S.","Ascough, P.","Blaikie, P.","Cotrufo, M.F.","Evouna Ondo, F.","Jeffery, K.","Lebrun Thauront, J.","Subke, J."],"funder":["Natural Environment Research Council"],"givenName":["Carmen Rosa","Lauren","Katherine","Samuel","Philippa","Pauline","M. Francesca","Fidèle","Kathryn","Johanne","Jens-Arne","J."],"grant":["NE/T008040/1"],"identifier":"594c137a-e55a-47e3-8a4d-ef11fdc2d2fc","incomingCitationCount":0,"keyword":["Soil","Land cover","organic carbon","organic nitrogen","grass fire","soil profile","slope","grassland","tropical ecosystem"],"keywordsOther":["organic carbon","organic nitrogen","grass fire","soil profile","slope","grassland","tropical ecosystem"],"keywordsTheme":["Soil","Land cover"],"licence":"Non-Open government licence","lineage":"Sampling regime\nSamples were collected in 7 spatial blocks within the Lopé National Park, Gabon (0.156-0.192°S, 11.574-11.635°E) during two field campaigns in 2022 and 2023, respectively. Within each block, there were two savannahs with either frequent (annual) fire recurrence, or low fire recurrence (no more than 1 fire in past 20 years). Within each savannah, complete soil profiles were collected at three slope positions: Summit, Backslope, or Toeslope. At each of these slope positions, three profiles (spaced 10 m from each other) were collected with depth increments of 0-5 cm, 5-15 cm, 15-30 cm, 30-50 cm, 50-75 cm, and 75-100 cm. Samples from the three profiles were combined to give a composite sample for each fire frequency, slope position and depth. Data gaps exist where soil profiles could not be collected to 1 m depth owing to more shallow soil depth.\n\nSample processing\nSamples were collected using a 5-cm diameter, 30 cm long corer (AMS soil corer). Intact cores were retrieved, separated by depth increment in the field, and transported to the research station in Lopé National Park in zip-lock plastic bags. The fresh weight was determined either on the day of sampling or the following day, and samples were stored in a ventilated place in open plastic bags to partially dry. All samples were sieved to 2 mm at the research station in a partially dried state. Stones and roots that did not pass the 2-mm sieve were removed and their mass recorded. Sub-samples of stones and all root material were collected to determine root dry mass and stone density for correction of total C stocks and bulk density. Complete soil samples for depth up to 50 cm, and representative sub-samples (around 50%) of larger deeper soil samples were transported under import licence to Stirling in zip-locked bags. In Stirling, all samples were oven dried (60°C, 48 hours) and re-weighed. Small subsamples (obtained by use of sample splitters to avoid inadvertent bias) were pulverised in a ball mill.\n\nAnalysis\nC and N content (by mass) determined by elemental analysis (Flash SMART, ThermoFisher Scientific, Germany). Elemental analyser: %C and %N were calibrated against three standards of known concentrations. All data reported are deemed high quality based on application of calibration and consistency within location sites and across sampling depths. A total of 15 data gaps result from insufficient soil depth at 9 out of 42 locations.","locations":["POLYGON((11.574 -0.192, 11.574 -0.156, 11.635 -0.156, 11.635 -0.192, 11.574 -0.192))"],"metadataDate":"2026-07-24T23:07:27.000Z","orcid":["https://orcid.org/0000-0002-4927-7663","https://orcid.org/0000-0002-8335-2807","https://orcid.org/0000-0002-0393-9342","https://orcid.org/0000-0002-5663-0912","https://orcid.org/0000-0001-6529-2903","https://orcid.org/0000-0002-1447-9484","https://orcid.org/0000-0002-6191-8953","https://orcid.org/0000-0002-6563-6240","https://orcid.org/0000-0002-2632-0008","https://orcid.org/0000-0002-7248-0723"],"organisation":["University of Stirling","Earlham Institute","Laboratoire de Géologie de l’École Normale Supérieure","Scottish Universities Environmental Research Centre, University of Glasgow","Colorado State University","Agence Nationale des Parcs Nationaux (ANPN), Gabon","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/594c137a-e55a-47e3-8a4d-ef11fdc2d2fc","10.5285/594c137a-e55a-47e3-8a4d-ef11fdc2d2fc","doi:10.5285/594c137a-e55a-47e3-8a4d-ef11fdc2d2fc"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/018cxtf62","https://ror.org/05vg9cw43","https://ror.org/03k1gpj17","https://ror.org/04xw4m193"],"shortenedDescription":"The data set reports the %carbon, %nitrogen, texture, organic matter, size fractions, pyrogenic carbon, 14C, d13C, pH, bulk density throughout soil profiles in tropical savannah soils under contrasting burn frequencies. Samples were collected in 7 spatial blocks within…","state":"published","title":"Soil physicochemical properties for profiles of up to 1 m from savannah soils, Lopé National Park, Gabon, 2022-2023","topic":["0/Soil/","0/Land cover/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Oxford","State University of New York Downstate"],"authorFamilyName":["Erezyilmaz","Lu"],"authorFullName":["Erezyilmaz, D.F.","Lu, K."],"authorGivenName":["D.F.","K. "],"authorOrcid":["https://orcid.org/0000-0001-8416-8561"],"authorRor":["https://ror.org/052gg0110","https://ror.org/01q1z8k08"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset presents data on female mate choice totals for different species pair combinations. Data are presented for wild types and inbred lines of  Drosophila simulans and Drosophilia sechellia females. Most of the data was generated in a laboratory at Stony Brook University, with some at Oxford University. Each test was conducted in 28.5 x 95mm plastic vials.\n\nData was collected at different points between 2014 and 2021 by the lead data author.\n\nThe work was conducted on mate choice preferences to determine how preferences vary between strains, species and among hybrids.\n\nWork was funded under NERC grant NERC NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization.\n","documentType":"GEMINI_DOCUMENT","familyName":["Erezyilmaz","Lu"],"fullName":["Erezyilmaz, D.F.","Lu, K."],"funder":["Natural Environment Research Council"],"givenName":["D.F.","K. "],"grant":["NE/S010351/1"],"identifier":"361621ad-6487-47a4-bf8b-00f78705e593","incomingCitationCount":0,"keyword":["Animal behaviour","Drosophila simulans","Drosophilia sechellia","animal behaviour"],"keywordsOther":["Drosophila simulans","Drosophilia sechellia","animal behaviour"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Three tester female were given the choice between D.  sechellia  and D. simulans males. Courting flies were watched for four hours. Once the first pair mated, the vial was moved to -20C until the copulating pair was frozen. The male species was determined by examining the male genitalia, which is distinct for  D.  sechellia  and D. simulans males.","metadataDate":"2026-07-24T20:36:51.000Z","orcid":["https://orcid.org/0000-0001-8416-8561"],"organisation":["University of Oxford","State University of New York Downstate","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/361621ad-6487-47a4-bf8b-00f78705e593","10.5285/361621ad-6487-47a4-bf8b-00f78705e593","doi:10.5285/361621ad-6487-47a4-bf8b-00f78705e593"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/01q1z8k08","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset presents data on female mate choice totals for different species pair combinations. Data are presented for wild types and inbred lines of  Drosophila simulans and Drosophilia sechellia females. Most of the data was generated in a laboratory at Stony Brook…","state":"published","title":"Assortative mating in Drosophila simulans and Drosophilia sechellia females","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Fletcher","Guyatt","Hunt","James","Mackay","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","M.A.","M.M.","B.A.","J.","A.G.","J.B.","E.B.","G.","S.J.","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"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"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. 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. 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 2018.\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","familyName":["Feuchtmayr","Clarke","De Ville","Dodd","Fletcher","Guyatt","Hunt","James","Mackay","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.A.","M.M.","B.A.","J.","A.G.","J.B.","E.B.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"ae8c850d-211e-4560-8b37-437b6e0e2a16","incomingCitationCount":0,"keyword":["England","Lake District","Blelham Tarn","UK-SCAPE","Environmental survey","Water quality"],"keywordsPlace":["England","Lake District","Blelham Tarn"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Environmental survey","Water quality"],"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. Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in UKCEH laboratories.","locations":["POLYGON((-2.985 54.393, -2.985 54.399, -2.973 54.399, -2.973 54.393, -2.985 54.393))"],"metadataDate":"2026-07-25T13:23:53.000Z","orcid":["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"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae8c850d-211e-4560-8b37-437b6e0e2a16","10.5285/ae8c850d-211e-4560-8b37-437b6e0e2a16","doi:10.5285/ae8c850d-211e-4560-8b37-437b6e0e2a16"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"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 Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, 2014 to 2018","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Nottingham","US Forest Service","Portland State University"],"authorFamilyName":["Dugdale","Farris","Field","Flitcroft","Holz","Johnson","Jones","Mariani","Pugh","Schrodt","Thorne","Wijayratne"],"authorFullName":["Dugdale, S.J.","Farris, K.","Field, R.","Flitcroft, R.","Holz, A.","Johnson, M.","Jones, B.","Mariani, M.","Pugh, B.","Schrodt, F.","Thorne, C.","Wijayratne, U."],"authorGivenName":["S.J.","K.","R.","A.","M.","B.","F.","C.","U."],"authorRor":["https://ror.org/01ee9ar58","https://ror.org/03zmjc935","https://ror.org/00yn2fy02"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vegetation survey data comprise per-quadrat species level data and abundances, abundance cover classes (following Braun-Blanquet method), family, growth duration, habitat and native species. Data also contain ground cover class and Denisom reading for tree canopy cover.\n\nData were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Vegetation surveys were conducted in restored and unrestored reaches of the South Fork McKenzie River with a view to quantifying differences in vegetation response to wildfire in the restored vs. unrestored river reaches.\n\nThe study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","familyName":["Dugdale","Farris","Field","Flitcroft","Holz","Johnson","Jones","Mariani","Pugh","Schrodt","Thorne","Wijayratne"],"fullName":["Dugdale, S.J.","Farris, K.","Field, R.","Flitcroft, R.","Holz, A.","Johnson, M.","Jones, B.","Mariani, M.","Pugh, B.","Schrodt, F.","Thorne, C.","Wijayratne, U."],"funder":["Natural Environment Research Council"],"givenName":["S.J.","K.","R.","A.","M.","B.","F.","C.","U."],"identifier":"251081d0-0388-44fa-b5f9-a4c784f64218","incomingCitationCount":0,"keyword":["Vegetation","South fork mckenzie","Stage zero","River restoration","Wildfire"],"keywordsOther":["Vegetation","South fork mckenzie","Stage zero","River restoration","Wildfire"],"licence":"Open government licence","lineage":"Vegetation data collected across 20 quadrats in restored and unrestored reaches of the South Fork McKenzie River. Abundance estimated using Blaun-Blanquet method, quadrat species-level data recorded, as well as per-quadrat ground cover and Denisom canopy cover given.","locations":["POLYGON((-122.29 44.13, -122.29 44.16, -122.23 44.16, -122.23 44.13, -122.29 44.13))"],"metadataDate":"2026-07-24T19:25:25.000Z","organisation":["University of Nottingham","US Forest Service","Portland State University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/251081d0-0388-44fa-b5f9-a4c784f64218","10.5285/251081d0-0388-44fa-b5f9-a4c784f64218","doi:10.5285/251081d0-0388-44fa-b5f9-a4c784f64218"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/01ee9ar58","https://ror.org/03zmjc935","https://ror.org/00yn2fy02","https://ror.org/04xw4m193"],"shortenedDescription":"Vegetation survey data comprise per-quadrat species level data and abundances, abundance cover classes (following Braun-Blanquet method), family, growth duration, habitat and native species. Data also contain ground cover class and Denisom reading for tree canopy cover.\n\nData…","state":"published","title":"Vegetation data from the South Fork McKenzie River in Oregon, USA after a wildfire event, 2021","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["University of York","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Facey","Dean","Botham","Staley"],"authorFullName":["Facey, S.L.","Dean, H.J.","Botham, M.S.","Staley, J.T."],"authorGivenName":["S.L.","H.J.","M.S.","J.T."],"authorOrcid":["https://orcid.org/0000-0003-0307-0728","https://orcid.org/0000-0002-9602-7202","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6467-3712"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains moth species, parasitoid and resource provisioning data from a hedgerow experiment investigating the long-term effects of timing and frequency of cutting on resource provision for wildlife. The experiment site was based at at Monks Wood, Cambridgeshire, UK. Moth larvae were collected in May to September 2011 and reared in a laboratory. Moth larvae or adult moths, and any emerging parasitoids, were identified to species level where possible. Data on hedge plot dimensions and branching density and length were measured in the field at the same time as moth larvae sampling. Leaf samples were also collected and used to calculate biomass and determine foliar total carbon and nitrogen content.\n\nThe hedgerow experiment was one of three long running hedgerow experiments focusing on management to maintain and restore the hedgerow resource under agri-environment schemes. These long running experiments were funded by Defra and managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Facey","Dean","Botham","Staley"],"fullName":["Facey, S.L.","Dean, H.J.","Botham, M.S.","Staley, J.T.","Staley, J."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["S.L.","H.J.","M.S.","J.T.","Joanna"],"grant":["BD2114"],"identifier":"7c2bf22d-2ff6-4d06-b4c1-b74ed4b45fc1","incomingCitationCount":0,"keyword":["Environmental survey","total nitrogen","total carbon","moth","parasitoid","growing tips","thorn tips","biomass","lepidopteran","carbon","nitrogen","hedge","ecosystem management"],"keywordsOther":["total nitrogen","total carbon","moth","parasitoid","growing tips","thorn tips","biomass","lepidopteran","carbon","nitrogen","hedge","ecosystem management"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data were digitised into Excel after field or laboratory collection and then imported into an Oracle database that contained all the data from the long running hedgerow experiments. The data provided here have been exported from the Oracle database. The following measures were taken to ensure quality and accuracy: a standard protocol was used, species data were collected by experienced and appropriately qualified field surveyors, species identifications were checked by an expert, and data were checked for anomalous values both prior to and post import into the Oracle database. A thorough check was also undertaken after upload of data to the Oracle database to check for and input missing values.","locations":["POLYGON((-0.253 52.396, -0.253 52.408, -0.227 52.408, -0.227 52.396, -0.253 52.396))"],"metadataDate":"2026-07-25T06:57:26.000Z","orcid":["https://orcid.org/0000-0003-0307-0728","https://orcid.org/0000-0002-9602-7202","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6467-3712"],"organisation":["University of York","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c2bf22d-2ff6-4d06-b4c1-b74ed4b45fc1","10.5285/7c2bf22d-2ff6-4d06-b4c1-b74ed4b45fc1","doi:10.5285/7c2bf22d-2ff6-4d06-b4c1-b74ed4b45fc1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains moth species, parasitoid and resource provisioning data from a hedgerow experiment investigating the long-term effects of timing and frequency of cutting on resource provision for wildlife. The experiment site was based at at Monks Wood, Cambridgeshire,…","state":"published","supplementalDescription":["Facey SL, Botham MS, Heard MS, Pywell RF, Staley JT (2014) Moth communities and agri-environment schemes: Examining the effects of hedgerow cutting regime on diversity, abundance, and parasitism. Insect Conservation and Diversity, 7: 543-552."],"title":"Moth community and parasitoid data from a hedgerow cutting regime experiment in Cambridgeshire, England, 2011","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Instituto Nacional de Pesquisas Amazonicas","Universidade do Estado do Mato Grosso ","James Cook University","Universidade do Estado do Mato Grosso","Universidad Autónoma Gabriel René Moreno"],"authorFamilyName":["Feldpausch","Aragão","Phillips","Quesada","Marimon","Marimon-Júnior","Oliveira","Bird","Morandi","Murakami","Arroyo","Haig"],"authorFullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Quesada, C.A.","Marimon, B.S.","Marimon-Júnior, B.H.","Oliveira, E.A.","Bird, M.","Morandi, P.S.","Murakami, A.A.","Arroyo, L.","Haig, J."],"authorGivenName":["T.R.","L.E.O.C.","O.L.","C.A.","B.S.","Ben Hur","E.A","M.","P.S.","A.A.","L.","J."],"authorOrcid":["https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-4134-6708","https://orcid.org/0000-0002-8993-6168","https://orcid.org/0000-0001-7178-9713","https://orcid.org/0000-0003-3105-2914","https://orcid.org/0000-0002-6359-6281","https://orcid.org/0000-0002-6446-3376","https://orcid.org/0000-0003-1801-8703","https://orcid.org/0000-0001-8151-7738","https://orcid.org/0000-0001-6151-8995","https://orcid.org/0000-0003-2203-2882","https://orcid.org/0000-0003-1350-522X"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/04gsp2c11","https://ror.org/01w17ks16"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements of soil pyrogenic carbon, ratio of %PyC to %Bulk Carbon and organic carbon, which were collected in a soil fertility gradient in the Amazon Basin. All samples were taken in old-growth forests. In total, 49 forest plots were sampled and analysed for PyC soil concentration, representing 395 soil samples. ","documentType":"GEMINI_DOCUMENT","familyName":["Feldpausch","Aragão","Phillips","Quesada","Marimon","Marimon-Júnior","Oliveira","Bird","Morandi","Murakami","Arroyo","Haig"],"fullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Quesada, C.A.","Marimon, B.S.","Marimon-Júnior, B.H.","Oliveira, E.A.","Bird, M.","Morandi, P.S.","Murakami, A.A.","Arroyo, L.","Haig, J.","Feldpausch, T."],"funder":["Natural Environment Research Council","Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Coordination for the Improvement of Higher Education Personnel, CAPES, Brazil)","National Council for Technological and Scientific Development (CNPq), Brazil","Coordination of Improvement of Personnel in Higher Education, Brazil (CAPES)"],"givenName":["T.R.","L.E.O.C.","O.L.","C.A.","B.S.","Ben Hur","E.A","M.","P.S.","A.A.","L.","J.","Ted","E.A."],"grant":["NE/N011570/1","PVE177-2012","441244/2016-5","441572/2020-0","457602/2012-0","0346321/2021","88887.504562/2020-00","151226/2021-0"],"identifier":"6410a578-d21a-4285-8e9c-57efbe2b60d5","incomingCitationCount":2,"keyword":["Amazon","Soil","Pyrogenic carbon","fire","tropical forest","carbon"],"keywordsOther":["Pyrogenic carbon","fire","tropical forest","carbon"],"keywordsPlace":["Amazon"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"We analysed 395 soil samples for pyrogenic and organic carbon. These samples were collected in 49 plots of old-growth forest distributed in a gradient of fertility in the Amazon Basin. \nFrom these 49 forest plots, 37 plots were previously sampled, with soil samples collected and analysed for total organic carbon (TOC) following the protocol described in Quesada et al. 2010. The other 12 forest plots were sampled in 2017. \nIn forest plots ≥1 ha, we sampled a minimum of five different locations; in the four corners and in the centre of the plot. In plots <1 ha, we sampled soil in 3 locations; 2 corners and in the centre. We sampled soil to 2 metres depth, where the majority of the sampling was taken in the following intervals: 0-5, 5-10, 10-20, 20-30, 30-50, 50-100, 100-150, 150-200 cm of depth. For each plot, we formed a composite sample by depth interval, resulting in one sample per depth range per plot. The samples were analysed at James Cook University. \n","locations":["POLYGON((-61.831 -15.75, -61.831 -7.188, -49.658 -7.188, -49.658 -15.75, -61.831 -15.75))"],"metadataDate":"2026-07-25T06:44:20.000Z","orcid":["https://orcid.org/0000-0002-6631-7962","https://orcid.org/0000-0002-4134-6708","https://orcid.org/0000-0002-8993-6168","https://orcid.org/0000-0001-7178-9713","https://orcid.org/0000-0003-3105-2914","https://orcid.org/0000-0002-6359-6281","https://orcid.org/0000-0002-6446-3376","https://orcid.org/0000-0003-1801-8703","https://orcid.org/0000-0001-8151-7738","https://orcid.org/0000-0001-6151-8995","https://orcid.org/0000-0003-2203-2882","https://orcid.org/0000-0003-1350-522X"],"organisation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Instituto Nacional de Pesquisas Amazonicas","Universidade do Estado do Mato Grosso ","James Cook University","Universidade do Estado do Mato Grosso","Universidad Autónoma Gabriel René Moreno","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6410a578-d21a-4285-8e9c-57efbe2b60d5","10.5285/6410a578-d21a-4285-8e9c-57efbe2b60d5","doi:10.5285/6410a578-d21a-4285-8e9c-57efbe2b60d5"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/04gsp2c11","https://ror.org/01w17ks16","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements of soil pyrogenic carbon, ratio of %PyC to %Bulk Carbon and organic carbon, which were collected in a soil fertility gradient in the Amazon Basin. All samples were taken in old-growth forests. In total, 49 forest plots were sampled…","state":"published","title":"Soil pyrogenic and organic carbon data in intact forest permanent plots across the Amazon Basin, 2015-2019","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Liverpool"],"authorFamilyName":["Bennett","Harris","Wanless","Green","Newell","Searle","Daunt"],"authorFullName":["Bennett, S.","Harris, M.","Wanless, S.","Green, J.A.","Newell, M.A.","Searle, K.R.","Daunt, F."],"authorGivenName":["S.","M.","J.A.","M.A.","K.R.","F."],"authorOrcid":["https://orcid.org/0000-0002-7351-5051","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0001-8692-0163","https://orcid.org/0000-0002-4723-175X","https://orcid.org/0000-0003-4624-9023","https://orcid.org/0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04xs57h96"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the occupancy of breeding sites in the non-breeding season, breeding timing and success, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes for the non-breeding season of 2017/18, 2018/19 and 2019/20. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS).","documentType":"GEMINI_DOCUMENT","familyName":["Bennett","Harris","Wanless","Green","Newell","Searle","Daunt"],"fullName":["Bennett, S.","Harris, M.","Wanless, S.","Green, J.A.","Newell, M.A.","Searle, K.R.","Daunt, F."],"funder":["Natural Environment Research Council"],"givenName":["S.","M.","J.A.","M.A.","K.R.","F."],"grant":["NE/R016429/1"],"identifier":"40d28d0b-f93d-4c6c-90ef-97a26a510f81","incomingCitationCount":0,"keyword":["Isle of May","Animal behaviour","common guillemot","Uria aalge","site quality","breeding success","site defence","site occupancy","non-breeding","animal behaviour"],"keywordsOther":["common guillemot","Uria aalge","site quality","breeding success","site defence","site occupancy","non-breeding","animal behaviour"],"keywordsPlace":["Isle of May"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"All data derives from time-lapse photography and in-person field observations of common guillemots on the Isle of May by experienced observers from the UK Centre for Ecology & Hydrology. Time-lapse photography data was used to derive non-breeding site occupancy metrics in two study sub-colonies. Breeding success and site quality data were derived from in-person observations at these same sub-colonies. All data were proofed before entering the full dataset and processed as per the accompanying metadata and supporting information.","locations":["POLYGON((-2.574 56.173, -2.574 56.199, -2.536 56.199, -2.536 56.173, -2.574 56.173))"],"metadataDate":"2026-07-24T21:14:39.000Z","orcid":["https://orcid.org/0000-0002-7351-5051","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0001-8692-0163","https://orcid.org/0000-0002-4723-175X","https://orcid.org/0000-0003-4624-9023","https://orcid.org/0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","University of Liverpool","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40d28d0b-f93d-4c6c-90ef-97a26a510f81","10.5285/40d28d0b-f93d-4c6c-90ef-97a26a510f81","doi:10.5285/40d28d0b-f93d-4c6c-90ef-97a26a510f81"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xs57h96","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the occupancy of breeding sites in the non-breeding season, breeding timing and success, and breeding site quality for a sample of common guillemots breeding on the Isle of May, Scotland. Data is available for all attributes for…","state":"published","supplementalName":[" Isle of May Long-Term Study"],"title":"Occupancy of breeding sites in the non-breeding season, site quality and breeding success data for a population of common guillemots (Uria aalge) on the Isle of May, Scotland, 2017-2020","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Robinson"],"authorFullName":["Robinson, S."],"authorGivenName":["S."],"authorOrcid":["https://orcid.org/0000-0002-7365-8423"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes environmental conditions at 135 Saiga antelope calving sites  (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated with haemorrhagic septicaemia in the literature, including humidity, temperature and precipitation.  Indicators of vegetation biomass, phenology and length of the winter preceding calving were represented using the Normalised Difference Vegetation Index (NDVI), snow depth and snow presence data. \n\nSaiga antelope are susceptible to mass mortality events (MME), the most severe of which are caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense aggregations. As the bacteria is a commensal organism, which may live harmlessly in the respiratory tract of the saiga, it is believed that an environmental trigger is involved in a shift to virulence in the pathogen or reduction in immune-competence in the host.\n\nThe attached data show environmental conditions at a set of calving sites of the Betpak-dala population of saigas. This population, one of three in Kazakhstan, is located in the central provinces of the country and is the only one in which massive haemorrhagic septicaemia outbreaks have been recorded. At most of the recorded sites, calving progressed normally, whilst at others mass mortality events occurred during calving or just afterwards, namely in 1981, 1988 and 2015. A set of environmental predictor variables was used to model the probability of an MME at calving aggregations. The dataset, modelling process and results are described in Kock et al. (2018): http://advances.sciencemag.org/content/4/1/eaao2314  \n\nA related shapefile of the full set of 214 sites, and metadata concerning site characteristics and the provenance of the location data is available at:\nhttps://catalogue.ceh.ac.uk/id/8ad12782-e939-4834-830a-c89e503a298b\n\nThe attached dataset and site metadata in the above-mentioned Shapefile attribute table can be combined using the variable ID in order to merge the environmental data with information on the calving and MME sites.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson"],"fullName":["Robinson, S."],"funder":["Natural Environment Research Council","Association for the Conservation of Biodiversity of the Republic of Kazakhstan","Flora and Fauna International, Cambridge, UK","People's Trust for Endangered Species","Frankfurt Zoological Society","The Saiga Conservation Alliance, UK"],"givenName":["S.","Sara"],"grant":["NE/N007646/1"],"identifier":"912ea336-ac90-418f-be6a-7ae226e167e9","incomingCitationCount":0,"keyword":["Kazakhstan","Phenology","Environmental variables","Saiga antelope"],"keywordsOther":["Environmental variables","Saiga antelope"],"keywordsPlace":["Kazakhstan"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"Given the large geographic scale of the study, range of variables to be covered, long time series coverage and high resolution, the daily ERA-Interim reanalysis dataset, produced at the European Centre for Medium-Range Weather Forecasts (ECMWF), was selected as a source of climate data (Dee et al., 2011). Daily aggregates (means, maxima, minima, or totals) were generated from raw 3 or 6 hourly data for temperature, dew point temperature, soil moisture, snow depth, maximum wind gust and precipitation.  Due to uncertainties in precipitation data from this source, interpolated gauge-based products from the Global Precipitation Climatology Centre (GPCC), which are independent of ERA data, were also used, although these were available only from 1988 onwards (Schamm et al., 2014). \n\nAbsolute NDVI values at calving/MME sites were obtained using a dataset of 7 day filtered and smoothed MODIS NDVI products from the University of Natural Resources and Life Sciences, Vienna (Vuolo et al., 2012). These data are included in the attached dataset but were not used in final models, they cover the period 2001-2016 and cover a subset of 94 sites.\n\nNDVI anomaly data based on SPOT and PROBA-V data were supplied by the Université Catholique de Louvain-LifeWatch Wallonia-Brussels (WB) project (Radoux et al., 2015). Snow anomaly data (unusual values at the date of observation compared to mean probability of snow presence) were used to look for unusual variation in winter (e.g. winter length, severity, sudden cold shocks) and were derived by LifeWatch WB from filtered MODIS data (Rousseau et al., 2015). These datasets cover periods from 1998-2016 and 2000-2016 respectively and thus include only 2015 MME sites and a set of controls - covering a subset of 96 & 95 sites. ","locations":["POLYGON((60.392 45.165, 60.392 51.282, 76.324 51.282, 76.324 45.165, 60.392 45.165))"],"metadataDate":"2026-07-25T10:15:50.000Z","orcid":["https://orcid.org/0000-0002-7365-8423"],"organisation":["University of Oxford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/912ea336-ac90-418f-be6a-7ae226e167e9","10.5285/912ea336-ac90-418f-be6a-7ae226e167e9","doi:10.5285/912ea336-ac90-418f-be6a-7ae226e167e9"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes environmental conditions at 135 Saiga antelope calving sites  (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated…","state":"published","supplementalDescription":["Kock, R. A., Orynbayev, M., Robinson, S., Zuther, S., Singh, N. J., Beauvais, W., ... Milner-Gulland, E. J. (2018). Saigas on the brink: Multidisciplinary analysis of the factors influencing mass mortality events. Science Advances, 4(1), eaao2314. "],"title":"Environmental conditions at saiga calving and die-off sites in Kazakhstan, 1979 to 2016","topic":["0/Phenology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex"],"authorFamilyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"authorFullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"authorGivenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","M.","I.P."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measures of laboratory soil incubation respiration rates from permafrost in subarctic Canada. Samples from soil cores were incubated in the laboratory to quantify CO2 and CH4 gas production rates at two different temperatures under both anoxic and oxic incubations. Soil cores were sampled from a peatland plateau and a thawing feature of the peatland plateau and from a unburnt and a burnt black spruce forest, and also additional sites in Yukon.","documentType":"GEMINI_DOCUMENT","familyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"fullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"givenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","M.","I.P."],"identifier":"0c79defa-d762-4ad1-a714-02e177d8e690","incomingCitationCount":0,"keyword":["Canada","Soil respiration","Permafrost thawing","fire","soil","carbon dioxide","methane"],"keywordsOther":["Soil respiration","Permafrost thawing","fire","soil","carbon dioxide","methane"],"keywordsPlace":["Canada"],"licence":"Open government licence","lineage":"Soil samples from the active layer and permafrost and from organic and mineral horizons were incubated under oxic and anoxic conditions at 5 and 15 celsius degrees. Soil samples were kept wet at water holding capacity for aerobic incubations and extra water was added in anaerobic incubations to ensure saturation and water filling of soil pores. CO2 concentrations were measured using an EGM-4 Infrared Gas Analyser (PP Systems). For anoxic conditions, incubations were flushed with N2, and CO2 and CH4 concentration were measured using a EGM4 (CO2) and a DP-IR Detecto Pak (CH4) analysers. CO2 and CH4 production rates were calculated assuming linear increase in headspace concentrations. Production rates are expressed as mg of C (either C-CO2 or C-CH4) per day and gram of dry soil. Carbon and nitrogen content are expressed as percentage of dry mass.","locations":["POLYGON((-137 60, -137 64, -112 64, -112 60, -137 60))"],"metadataDate":"2026-07-24T19:00:31.000Z","organisation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0c79defa-d762-4ad1-a714-02e177d8e690","10.5285/0c79defa-d762-4ad1-a714-02e177d8e690","doi:10.5285/0c79defa-d762-4ad1-a714-02e177d8e690"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This dataset contains measures of laboratory soil incubation respiration rates from permafrost in subarctic Canada. Samples from soil cores were incubated in the laboratory to quantify CO2 and CH4 gas production rates at two different temperatures under both anoxic…","state":"published","title":"Laboratory soil incubation respiration rates from permafrost in subarctic Canada","version":1.0,"view":["public","kath"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bentley","Brentegani","Andrews","Brown","Cope","Ebuele","Emmett","Fitos","Friend","Garbutt","Gray","Hancock","Henrys","Higgins","Keenan","Keith","Lebron","Moscrop","O'Brien","Pallett","Pereira","Reinsch","Risser","Rowe","Scarlett","Smart","Tandy","Towill","Wagner","Wood","Robinson"],"authorFullName":["Bentley, L.","Brentegani, M.","Andrews, C.","Brown, K.","Cope, S.","Ebuele, V.","Emmett, B.A.","Fitos, E.","Friend, R.","Garbutt, R.A.","Gray, A.","Hancock, G.","Henrys, P.A.","Higgins, A.","Keenan, P.","Keith, A.M.","Lebron, I.","Moscrop, A.","O'Brien, L.","Pallett, D.W.","Pereira, M.G.","Reinsch, S.","Risser, H.","Rowe, R.L.","Scarlett, P.","Smart, S.M.","Tandy, S.","Towill, J.","Wagner, M.","Wood, C.M.","Robinson, D.A."],"authorGivenName":["L.","M.","C.","K.","S.","V.","B.A.","E.","R.","R.A.","A.","G.","P.A.","P.","A.M.","I.","D.W.","M.G.","H.","R.L.","S.M.","J.","C.M.","D.A."],"authorOrcid":["https://orcid.org/0000-0001-5055-7673","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-6785-0590","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 150 x 1-km squares across Great Britain in 2023 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 (soil organic carbon, 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 and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bentley","Brentegani","Andrews","Brown","Cope","Ebuele","Emmett","Fitos","Friend","Garbutt","Gray","Hancock","Henrys","Higgins","Keenan","Keith","Lebron","Moscrop","O'Brien","Pallett","Pereira","Reinsch","Risser","Rowe","Scarlett","Smart","Tandy","Towill","Wagner","Wood","Robinson"],"fullName":["Bentley, L.","Brentegani, M.","Andrews, C.","Brown, K.","Cope, S.","Ebuele, V.","Emmett, B.A.","Fitos, E.","Friend, R.","Garbutt, R.A.","Gray, A.","Hancock, G.","Henrys, P.A.","Higgins, A.","Keenan, P.","Keith, A.M.","Lebron, I.","Moscrop, A.","O'Brien, L.","Pallett, D.W.","Pereira, M.G.","Reinsch, S.","Risser, H.","Rowe, R.L.","Scarlett, P.","Smart, S.M.","Tandy, S.","Towill, J.","Wagner, M.","Wood, C.M.","Robinson, D.A."],"funder":["Natural Environment Research Council"],"givenName":["L.","M.","C.","K.","S.","V.","B.A.","E.","R.","R.A.","A.","G.","P.A.","P.","A.M.","I.","D.W.","M.G.","H.","R.L.","S.M.","J.","C.M.","D.A.","L. "],"grant":["NE/R016429/1","NE/Y006208/1"],"identifier":"fe58d52e-f00c-4895-a35e-26b7353cc275","incomingCitationCount":0,"keyword":[" Great Britain"," UK-SCAPE","NC-UK","Soil","derived carbon concentration"," electrical conductivity"," Environmental survey"," fine earth volumetric water content"," Olsen-phosphorous","SOC"," soil bulk density of fine earth"," soil nitrogen"," soil organic matter"," soil pH"," total soil organic carbon"],"keywordsOther":["derived carbon concentration"," electrical conductivity"," Environmental survey"," fine earth volumetric water content"," Olsen-phosphorous","SOC"," soil bulk density of fine earth"," soil nitrogen"," soil organic matter"," soil pH"," total soil organic carbon"],"keywordsPlace":[" Great Britain"],"keywordsProject":[" UK-SCAPE","NC-UK"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Within each of 150 x 1km 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))"],"metadataDate":"2026-07-25T18:11:55.000Z","orcid":["https://orcid.org/0000-0001-5055-7673","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-6785-0590","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-0662-0991","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"],"publicationDate":"2024-11-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fe58d52e-f00c-4895-a35e-26b7353cc275","10.5285/fe58d52e-f00c-4895-a35e-26b7353cc275","doi:10.5285/fe58d52e-f00c-4895-a35e-26b7353cc275"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 150 x 1-km squares across Great Britain in 2023 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties…","state":"published","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2023","topic":["0/Soil/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["National Institute of Amazonian Research","Nanyang Technological University","University of Exeter"],"authorFamilyName":["Lugli","Quesada","Andersen","Mercado","Martins","Moraes","Hartley"],"authorFullName":["Lugli, L.F.","Quesada, C.A.","Andersen, K.M.","Mercado, L.M.","Martins, M.P.","Moraes, A.C.M.","Hartley, I.P."],"authorGivenName":["L.F.","C.A.","K.M.","L.M.","M.P.","A.C.M.","Iain P."],"authorOrcid":["https://orcid.org/0000-0001-8404-4841","https://orcid.org/0000-0002-1460-9904","https://orcid.org/0000-0003-4069-0838","https://orcid.org/0000-0002-9183-6617"],"authorRor":["https://ror.org/01xe86309","https://ror.org/02e7b5302","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of carbon, micro and macro nutrient concentrations in fine roots (<2mm diameter) in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment. Carbon and nutrient concentrations refer to year one of fertilisation, bulking samples from November 2017 to August 2018. Concentrations are given as a mean of the community per plot in year 1, where five points inside each plot were sampled in the 0-10 cm and 10-30 cm soil layers. The dataset depicts the concentrations of iron, zinc, manganese, calcium, magnesium, potassium, phosphorus, nitrogen and carbon in fine roots in two different soil depths.  \n\nSamples were collected at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). \n\nThe study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship).\n","documentType":"GEMINI_DOCUMENT","familyName":["Lugli","Quesada","Andersen","Mercado","Martins","Moraes","Hartley"],"fullName":["Lugli, L.F.","Quesada, C.A.","Andersen, K.M.","Mercado, L.M.","Martins, M.P.","Moraes, A.C.M.","Hartley, I.P.","Lugli, L."],"funder":["Natural Environment Research Council"],"givenName":["L.F.","C.A.","K.M.","L.M.","M.P.","A.C.M.","Iain P.","Laynara"],"identifier":"ba190356-1731-4558-be7a-3fedc570663a","incomingCitationCount":0,"keyword":["Brazil","Manaus","Soil","Environmental survey"],"keywordsPlace":["Brazil","Manaus"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Samples < 2mm diameter were bulked by plot and soil depth (0-10cm and 10-30cm) using root material collected in 4-time intervals, from November 2017 to August 2018. After dried, samples were ground using a knife and/ or ball mill for nutritional analysis. Micronutrients, phosphorus and cations were extracted by nitroperchloric digestion. Cations and micronutrients were determined by atomic absorption spectrophotometry, whilst phosphorus was determined by spectrophotometry. Carbon and nitrogen concentrations were determined using an automatic C and N analyser.","locations":["POLYGON((-68.5 -24.6, -68.5 5.1, -31.7 5.1, -31.7 -24.6, -68.5 -24.6))"],"metadataDate":"2026-07-25T12:58:15.000Z","orcid":["https://orcid.org/0000-0001-8404-4841","https://orcid.org/0000-0002-1460-9904","https://orcid.org/0000-0003-4069-0838","https://orcid.org/0000-0002-9183-6617"],"organisation":["National Institute of Amazonian Research","Nanyang Technological University","University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ba190356-1731-4558-be7a-3fedc570663a","10.5285/ba190356-1731-4558-be7a-3fedc570663a","doi:10.5285/ba190356-1731-4558-be7a-3fedc570663a"],"resourceType":"Dataset","ror":["https://ror.org/01xe86309","https://ror.org/02e7b5302","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of carbon, micro and macro nutrient concentrations in fine roots (<2mm diameter) in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment.…","state":"published","title":"Fine root nutrient concentration in fertilised plots in the Central Amazon, 2018","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}