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The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. 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However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortage.\nMeasurements 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 along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2.\n","locations":["POLYGON((-2.993 54.348, -2.993 54.37, -2.977 54.37, -2.977 54.348, -2.993 54.348))"],"metadataDate":"2026-06-29T16:44:40.000Z","orcid":["https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","doi:10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21"],"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 Esthwaite Tarn in Cumbria, England. The data available to download comprise surface…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2024","topic":["0/Climate and climate change/","0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["Maliko","Filip","Matt","Claus","Jamie"],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. \n\n[1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902\n[2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["Maliko","Filip","Matt","Claus","Jamie"],"identifier":"dfd59438-2170-4472-b810-bab33a83d09f","incomingCitationCount":0,"keyword":["Environmental risk","Hydrology","SPI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","drought","atmospheric precipitation"],"keywordsOther":["SPI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","drought","atmospheric precipitation"],"keywordsTheme":["Environmental risk","Hydrology"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in McKee et al. [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by Stagge et al. [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in Tanguy et al. [3]). To calculate SPI, the R package SCI was used (Gudmundsson & Stagge [4]), but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [5], Keller et al. [6]) which has been area-averaged over each of the Integrated Hydrological Units (IHU) groups(Kral et al. [7]). \n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.\n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. https://doi.org/10.1002/joc.4267\n[3] Tanguy et al. (2015), in preparation.\n[4] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf\n[5] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[6] Keller, V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ https://doi.org/10.5194/essdd-8-83-2015.\n[7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.5540000000000003 61.026, 3.5540000000000003 49.766, -7.557 49.766))"],"metadataDate":"2026-06-27T19:01:34.000Z","orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0002-5256-3310"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1432105852978","CEH:EIDC::1432105852978","https://catalogue.ceh.ac.uk/id/dfd59438-2170-4472-b810-bab33a83d09f","10.5285/dfd59438-2170-4472-b810-bab33a83d09f","doi:10.5285/dfd59438-2170-4472-b810-bab33a83d09f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different…","state":"published","supplementalName":["CEH droughts portal"],"title":"Standardised Precipitation Index time series for Integrated Hydrological Units Groups (1961-2012)","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"altTitle":["Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project","Ecosystem Services for Poverty Alleviation (ESPA) programme"],"authorAffiliation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh"],"authorFamilyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"authorFullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"authorGivenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"authorOrcid":["https://orcid.org/0000-0002-5019-1015","https://orcid.org/0000-0002-5119-5894","https://orcid.org/0000-0001-7552-7470"],"authorRor":["https://ror.org/02srvn192","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Rich text format"],"description":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood, wood for charcoal production, etc.) and their causes (e.g. change in land use) in rural Mozambique.\n\nInformation was gathered at 20 workshops held in Maputo, Xai Xai, Lichinga, Quelimane, and at village level in the districts of Mabalane, Marrupa and Gurue in 2014 and 2015. The objective of the workshops was to examine aspects that influence well-being and their causes in the miombo woodland area of rural Mozambique. One of the objectives of the project was to construct Bayesian belief networks (BBNs) to model future land use change scenarios in rural Mozambique using a participatory approach, to evaluate the consequences of deforestation in the well-being of the rural population.\n \nThe data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project and were funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme, funded by NERC, the Economic & Social Research Council (ESRC) and the Department for International Development (DfID), the three are government organizations from UK. The project was led by the University of Edinburgh, with the collaboration of the Universidad Mondlane, the IIED, and other organizations. ","documentType":"GEMINI_DOCUMENT","familyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"fullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"funder":["Natural Environment Research Council"],"givenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"grant":["NE/K010395/1"],"identifier":"14622c4b-8bd4-4624-8ea6-35da7da211cd","incomingCitationCount":0,"keyword":["Mozambique","miombo woodland","ACES","ESPA programme","Ecosystem services"],"keywordsPlace":["Mozambique","miombo woodland"],"keywordsProject":["ACES","ESPA programme"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"The data were collected during the development of 20 workshops. Four of them were in cities, and the rest in rural villages. The first type of workshops were divided in two parts, one devoted to Bayesian belief networks (BBN) and the second to scenario construction. \n\nThe data was collected in different ways and formats: 1) one to three persons took notes during the workshops; 2) we recorded most of the discussions after obtaining the acceptance from the participants for doing so; 3) we took pictures of the materials generated, with the necessary quality to read and interpret the content. \n\nTwo persons were in charge of writing down the results from the workshops in the presented documents: one of them wrote a first version, which was then reviewed by a second person. Both persons had been present during the workshops. Both of them did a final review of the documents, and then were approved as official results from the project. ","locations":["POLYGON((30.21 -26.92, 30.21 -10.33, 41.05 -10.33, 41.05 -26.92, 30.21 -26.92))"],"metadataDate":"2026-06-29T16:25:49.000Z","orcid":["https://orcid.org/0000-0002-5019-1015","https://orcid.org/0000-0002-5119-5894","https://orcid.org/0000-0001-7552-7470"],"organisation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-11-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/14622c4b-8bd4-4624-8ea6-35da7da211cd","10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd","doi:10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/02srvn192","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood,…","state":"published","supplementalDescription":["Understanding Land Use, Land Cover and Woodland-Based Ecosystem Services Change, Mabalane, Mozambique. 2017 Mansour Mahamane, Pedro Zorrilla-Miras, Peter Verweij, Casey Ryan, Genevieve Patenaude, Isla Grundy, Isilda Nhantumbo, Marc Metzger, Natasha Ribeiro, Sophia Baumert, Frank Vollmer. Energy and Environment Research; Vol. 7, No. 1, doi:10.5539/eer.v7n1p1 ","Environmental Conservation and Social Benefits of Charcoal Production in Mozambique. 2017. Pedro Zorrilla-Miras, Mansour Mahamane, Marc J. Metzger, Sophia Baumert, Frank Vollmer, Ana Catarina Luz, Emily Woollen, Almeida A. Sitoe, Genevieve Patenaude, Isilda Nhantumbo, Casey M.Ryan, James Paterson, Maria Juliet Matediane, Natasha Sofian Ribeiro, Isla M.Grundy. Ecological Economics Volume 144, February 2018, Pages 100-111\n","Making the links between woodlands and wellbeing: a multi-stakeholder approach. Isilda Nhantumbo, Pedro Zorrilla Miras, Maria Julieta Matediane, Genevieve Patenaude, Marc Metzger, James Paterson, Luis Artur, Mansour Mahamane, Almeida Sitoe"],"supplementalName":["Ecosystems Services for Poverty Alleviation (ESPA) programme","ACES project: livelihoods and land use change in Mozambique Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands?"],"title":"Causal diagrams linking rural well-being with forest ecosystem services in Mozambique (2014 and 2015)","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["https://orcid.org/0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1990 in a 1km grid format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as percent habitat per 1km square for 16 different habitat types. The 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 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, vegetation species, soil data, linear feature data and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"53ef00f4-e0c5-4095-850e-d4c474bc4ffd","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","habitats"],"keywordsOther":["habitats"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in the 1990s. 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 (2007 version), as percentage values per 1km square.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:48:23.000Z","orcid":["https://orcid.org/0000-0003-4006-7755"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2014-01-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1389883911200","CEH:EIDC::1389883911200","https://catalogue.ceh.ac.uk/id/53ef00f4-e0c5-4095-850e-d4c474bc4ffd","10.5285/53ef00f4-e0c5-4095-850e-d4c474bc4ffd","doi:10.5285/53ef00f4-e0c5-4095-850e-d4c474bc4ffd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1990 in a 1km grid format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project,…","state":"published","title":"Countryside Survey 1990 mapped estimates of Broad Habitat areas in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Exeter","Swansea University"],"authorFamilyName":["Thompson","Nichols","Cant"],"authorFullName":["Thompson, F.J.","Nichols, H.J.","Cant, M.A."],"authorGivenName":["F.J.","H.J.","M.A."],"authorOrcid":["https://orcid.org/0000-0001-7581-2204","https://orcid.org/0000-0002-4455-6065","https://orcid.org/0000-0002-1530-3077"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data contains the genetic identity of parents (maternal and paternal identities and assignment probabilities) identified from DNA extracted from tail tips analysed using the MASTERBAYES program, for individual banded mongooses in a wild population on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2000-2019.\n\nA nine generation deep genetic pedigree was constructed from which maternity and paternity assignments were calculated. This data was used to calculate lifetime reproductive success for individuals in the population who were exposed to conflict with rival groups to determine the fitness costs and benefits of intergroup conflict. In addition the type of microsatellite panel used to genotype the DNA samples is recorded.\n","documentType":"GEMINI_DOCUMENT","familyName":["Thompson","Nichols","Cant"],"fullName":["Thompson, F.J.","Nichols, H.J.","Cant, M.A.","Thompson, F."],"funder":["Natural Environment Research Council"],"givenName":["F.J.","H.J.","M.A.","Faye"],"grant":["NE/S000046/1"],"identifier":"f397e842-b411-4256-b507-a4aa4647b914","incomingCitationCount":0,"keyword":["Animal behaviour","Parentage","genetic pedigree","social evolution","banded mongoose","Mungos mungo"],"keywordsOther":["Parentage","genetic pedigree","social evolution","banded mongoose","Mungos mungo"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"DNA was extracted from tail tip samples and genotyped for 35‒ 43 microsatellite loci. Parentage was primarily determined using the MASTERBAYES program. As well as individual genotypes, the program used phenotypic predictors (whether or not a female was recorded as giving birth, if a male was in the offspring’s natal group prior to birth, and the age and quadratic age of both males and females). A 9-generation deep genetic pedigree was constructed from which maternity and paternity assignments were calculated. To compile this dataset, we extracted adults from the pedigree who were alive in our population between 2000 and 2019, and for whom parentage assignments were >=0.9 (for offspring that were genotyped using the full panel of 43 microsatellite markers), or >=0.95 (for offspring that were genotyped using the subset panel of 35 microsatellite markers). This data was used to calculate lifetime reproductive success for individuals in the population who were exposed to conflict with rival groups to determine the fitness costs and benefits of intergroup conflict.","locations":["POLYGON((29.767 -0.26, 29.767 0.196, 30.107 0.196, 30.107 -0.26, 29.767 -0.26))"],"metadataDate":"2026-06-29T16:06:14.000Z","orcid":["https://orcid.org/0000-0001-7581-2204","https://orcid.org/0000-0002-4455-6065","https://orcid.org/0000-0002-1530-3077"],"organisation":["University of Exeter","Swansea University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f397e842-b411-4256-b507-a4aa4647b914","10.5285/f397e842-b411-4256-b507-a4aa4647b914","doi:10.5285/f397e842-b411-4256-b507-a4aa4647b914"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"The data contains the genetic identity of parents (maternal and paternal identities and assignment probabilities) identified from DNA extracted from tail tips analysed using the MASTERBAYES program, for individual banded mongooses in a wild population on the Mweya Peninsula,…","state":"published","title":"Parentage assignments from a genetic pedigree of a wild population of banded mongooses in Queen Elizabeth National Park, Uganda, 2000-2019","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","Queen's University Belfast"],"authorFamilyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley","Griffiths","McDonald","Caruso","Ilardi"],"authorFullName":["Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S.","Griffiths, R.","McDonald, R.","Caruso, T.","Ilardi, M."],"authorGivenName":["E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","R.","T.","M."],"authorOrcid":["https://orcid.org/0000-0001-7513-2006","https://orcid.org/0000-0003-2912-6339","https://orcid.org/0000-0002-5280-5148","https://orcid.org/0000-0002-5131-0127","https://orcid.org/0000-0003-3263-3702","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-3607-9609"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/00hswnk62"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2016 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley","Griffiths","McDonald","Caruso","Ilardi"],"fullName":["Fry, E.","Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S.","Griffiths, R.","McDonald, R.","Caruso, T.","Ilardi, M."],"funder":["Natural Environment Research Council"],"givenName":["Ellen","E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","R.","T.","M."],"grant":["NE/J014680/1"],"identifier":"e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6","incomingCitationCount":0,"keyword":["Salisbury Plain","Wessex BESS","PAR","ecosystem respiration","net ecosystem CO2 exchange","nitrous oxide","methane","carbon dioxide","photosynthesis","ammonium","nitrate","bulk density","soil moisture"],"keywordsOther":["PAR","ecosystem respiration","net ecosystem CO2 exchange","nitrous oxide","methane","carbon dioxide","photosynthesis","ammonium","nitrate","bulk density","soil moisture"],"keywordsPlace":["Salisbury Plain"],"keywordsProject":["Wessex BESS"],"licence":"Open government licence","lineage":"For greenhouse gas exchange flux, a time series correlation was calculated and low correlations removed (<70%). Outliers were also removed at the beginning and end of sample where appropriate. Calibrations at two levels were done for methane gas flux (at 14, and 33 ppm), carbon dioxide gas flux (at 500 and 1000 ppm) and nitrous oxide gas flux (at 200 and 370 ppm). For soil extractable nitrate and ammonium using potassium chloride and water, the analysis used 5% analytical replicates, recalibration (at 5, 4, 3, 2 and 1 ppm) and blanks every 20 samples. For carbon and nitrogen extracted from ground soil extracts standards (acetanilide) and blanks were run every 20 samples. Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.","locations":["POLYGON((-2.08 50.986, -2.08 50.998, -2.063 50.998, -2.063 50.986, -2.08 50.986))"],"metadataDate":"2026-06-29T16:16:07.000Z","orcid":["https://orcid.org/0000-0001-7513-2006","https://orcid.org/0000-0003-2912-6339","https://orcid.org/0000-0002-5280-5148","https://orcid.org/0000-0002-5131-0127","https://orcid.org/0000-0003-3263-3702","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-3607-9609"],"organisation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","Queen's University Belfast","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6","10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6","doi:10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6"],"resourceType":"Dataset","ror":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/00hswnk62","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey…","state":"published","title":"Ecosystem functions and vegetation data for Winklebury Hill, Salisbury Plain, UK 2016","version":1.0,"view":["public","shar1"]},{"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.","Mathew","I.P."],"authorOrcid":["https://orcid.org/0000-0001-6117-5208"],"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 consists of soil dates determined using radiocarbon in profiles from permafrost in subarctic Canada. Depth-specific soil core samples were dated using radiocarbon. Soil cores were sampled during early summer in 2013 and 2014. Each year soil cores were sampled from a peatland plateau, thawing features of the peatland plateau, unburnt and burnt black spruce forests, and additional sites in Yukon and Northwest Territories.","documentType":"GEMINI_DOCUMENT","familyName":["Williams","Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Hartley"],"fullName":["Williams, M.","Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Hartley, I.P."],"givenName":["Mathew","C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","I.P."],"identifier":"fe17ac3b-9a26-48ec-aadd-a3e806f9b5f5","incomingCitationCount":0,"keyword":["Canada","Soil radiocarbon","Peatland plateau","Thawing peatland","Burnt permafrost","permafrost ecosystem"],"keywordsOther":["Soil radiocarbon","Peatland plateau","Thawing peatland","Burnt permafrost","permafrost ecosystem"],"keywordsPlace":["Canada"],"licence":"Open government licence","lineage":"Plant macrofossils were identified from the bulk soil using a microscope and picked for radiocarbon analysis. Samples were sent to the NERC Radiocarbon Facility in East Kilbride (UK) where they were analysed and given a publication code. Values of radiocarbon enrichment are expressed in percent modern carbon. Ages are reported as conventional radiocarbon age with years BP (before present, where present is defined as AD 1950).","locations":["POLYGON((-137 60, -137 64, -112 64, -112 60, -137 60))"],"metadataDate":"2026-06-29T16:26:13.000Z","orcid":["https://orcid.org/0000-0001-6117-5208"],"organisation":["University of Edinburgh","University of Exeter","University of Sheffield","University of Sussex","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1438614686808","CEH:EIDC::1438614686808","https://catalogue.ceh.ac.uk/id/fe17ac3b-9a26-48ec-aadd-a3e806f9b5f5","10.5285/fe17ac3b-9a26-48ec-aadd-a3e806f9b5f5","doi:10.5285/fe17ac3b-9a26-48ec-aadd-a3e806f9b5f5"],"resourceType":"Dataset","ror":["https://ror.org/01nrxwf90","https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of soil dates determined using radiocarbon in profiles from permafrost in subarctic Canada. Depth-specific soil core samples were dated using radiocarbon. Soil cores were sampled during early summer in 2013 and 2014. Each year soil cores were sampled…","state":"published","title":"Soil dates using radiocarbon in profiles from permafrost in subarctic Canada","version":1.0,"view":["public","kath"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Vieno","Scheffler"],"authorFullName":["Vieno, M.","Scheffler, J."],"authorGivenName":["M.","J."],"authorOrcid":["https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-7398-4237"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates daily averaged atmospheric composition at approximately 5 km grid for the years 2001 to 2015.\n\nThe data consists of atmospheric composition and deposition values of various pollutants; including PM10, PM2.5, secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulfur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOX) , and ozone (O3).\n\nThe EMEP model version used here is rv4.17 and the WRF model version is the 3.7.1.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\nA version of this dataset is available (https://doi.org/10.5285/ca302d30-7b8b-46ec-90b6-67b79df00c92), run with the latest release of the Atmospheric Chemistry Transport Model EMEP (rv4.36) and with the latest NAEI emissions. The new set of model runs covers an extended time period from 2002 until 2021 and is available in a higher resolution (3 km2 x 3km2).","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Vieno"],"fullName":["Scheffler, J.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["Janice","M.","J."],"grant":["NE/R016429/1"],"identifier":"b0545f67-e47c-4077-bf3c-c5ffcd6b72c8","incomingCitationCount":0,"keyword":["NOx","NO2","nitric acid","HNO3","NH3","coarse nitrate particulate","fine nitrate particulate","O3","SO2","sulphate particulate","PM2.5","VOC","PM10","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","aerosol","dust","volatile organic compound","sulphate","atmospheric particulate","sulphur dioxide","pollutant deposition","ozone","nitrate","nitrogen dioxide","ammonia","nitrogen oxides","UK-SCAPE"],"keywordsOther":["NOx","NO2","nitric acid","HNO3","NH3","coarse nitrate particulate","fine nitrate particulate","O3","SO2","sulphate particulate","PM2.5","VOC","PM10","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","aerosol","dust","volatile organic compound","sulphate","atmospheric particulate","sulphur dioxide","pollutant deposition","ozone","nitrate","nitrogen dioxide","ammonia","nitrogen oxides","UK-SCAPE"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations and daily total for depositions for a model domain covering the UK with a resolution of about 5x6 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.7.0rc8 was used to subset the model output.\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:33:57.000Z","orcid":["https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-7398-4237"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-11-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8","10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8","doi:10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates daily averaged atmospheric composition at approximately…","state":"published","supplementalDescription":["National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory."],"supplementalName":["EMEP4UK website","Weather Research and Forecasting Model version 3.7.1 (WRF)","2015 National Atmospheric Emission Inventory estimate (NAEI)","EMEP emissions center"],"title":"European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily atmospheric composition and fluxes for 2001-2015","version":1.0,"view":["public","crimar"]},{"availability":"Available","catalogue":"eidc","description":"This is a web map service (WMS) for the Land Cover Map 2024 at 25-metre resolution.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"b68a92f8-e91d-40d2-aed9-6b21295cb094","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsOther":["infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-01T13:33:46.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2025-07-31T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b68a92f8-e91d-40d2-aed9-6b21295cb094"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2024 at 25-metre resolution.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","state":"published","title":"Land Cover Map 2024 25m web map service (WMS)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorFamilyName":["Perry","Wachowiak","Donnelly","Cavers"],"authorFullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"authorGivenName":["A.","W.","K.","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Wachowiak","Donnelly","Cavers"],"fullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["A.","W.","K.","S."],"grant":["NE/K012177/1"],"identifier":"55118e26-cf5c-41d6-9157-738fce6bdddf","incomingCitationCount":0,"keyword":["Phenology","budburst","height","SNP array","genotypes","Scots pine"],"keywordsOther":["budburst","height","SNP array","genotypes","Scots pine"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A common garden glasshouse trial was established in 2010 using seed from natural populations from three species of pine: Pinus sylvestris (SY), Pinus mugo (MU), Pinus uncinata (UN). Open-pollinated seeds were collected from three to five trees per population from twenty-eight natural populations in Europe covering the geographic range of each species. The collection consisted of thirteen populations of SY, nine MU, and six UN. The trial was divided into 25 randomized blocks with up to five families per population, of which the first 18 blocks were analysed by Wachowiak et al. (2018a).\n\nPhenotypes (height, bud set and budburst) were assessed in the glasshouse during spring (budburst), autumn (bud set) and winter (height) between 2010 and 2013. \n\nA subset of trees were selected to be genotyped using a multi-species SNP array. Trees were genotyped using a multi-species SNP array (Perry et al., 2020). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1 % agarose gel.\n\nGenotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC ‘high’ ≥ 0.82; DQC ‘low’ < 0.82; CR ‘high’ ≥ 96; CR ‘low’ < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-3.358 55.877, -3.358 56.003, -3.013 56.003, -3.013 55.877, -3.358 55.877))"],"metadataDate":"2026-06-29T18:18:34.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55118e26-cf5c-41d6-9157-738fce6bdddf","10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf","doi:10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","state":"published","title":"Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["American Museum of Natural History","Betty and Gordon Moore Center for Science, Conservation International"],"authorFamilyName":["Horning","Hewson"],"authorFullName":["Horning, N.","Hewson, J."],"authorGivenName":["N.","J."],"authorRor":["https://ror.org/024weye46"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The products capture current land use/cover for four areas of interest in Corridor Ankeniheny Zahamena (CAZ) generated based on very high resolution imagery (SPOT 6). Field-based training and validation data were used and supervised classifications created using Random Forest classifier.","documentType":"GEMINI_DOCUMENT","familyName":["Hewson","Horning"],"fullName":["Hewson, J.","Horning, N."],"givenName":["J.","N."],"identifier":"ce535cef-842e-4875-ad80-26760900cec0","incomingCitationCount":1,"keyword":["Madagascar","Ankeniheny Zahamena forest corridor","Land cover","Land use"],"keywordsPlace":["Madagascar","Ankeniheny Zahamena forest corridor"],"keywordsTheme":["Land cover","Land use"],"licence":"Open government licence","lineage":"The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access. \n\nBased on the above criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. \n\nCurrent land use/cover classifications were generated for each ZOI based on very high resolution imagery from SPOT 6. Field data collected by Work Package (WP) 2 and 4--which are impacts on hydrological benefits of alternative Payments for Ecosystem Services (PES) approaches and impacts on carbon storage/sequestration of alternative PES approaches--were used as training data. Supervised classifications were created using Random Forest classifier. ","locations":["POLYGON((48.202 -18.989, 48.202 -17.434, 49.152 -17.434, 49.152 -18.989, 48.202 -18.989))"],"metadataDate":"2026-06-29T17:14:25.000Z","organisation":["Betty and Gordon Moore Center for Science, Conservation International","American Museum of Natural History","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ce535cef-842e-4875-ad80-26760900cec0","10.5285/ce535cef-842e-4875-ad80-26760900cec0","doi:10.5285/ce535cef-842e-4875-ad80-26760900cec0"],"resourceType":"Dataset","ror":["https://ror.org/024weye46","https://ror.org/04xw4m193"],"shortenedDescription":"The products capture current land use/cover for four areas of interest in Corridor Ankeniheny Zahamena (CAZ) generated based on very high resolution imagery (SPOT 6). Field-based training and validation data were used and supervised classifications created using Random…","state":"published","title":"Very high resolution derived land cover/use classifications for the Corridor Ankeniheny-Zahamena (CAZ), Madagascar","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Newcastle University","University of Liverpool","Cardiff University"],"authorFamilyName":["Gray","Hastings","Sheppard","Loughnane","Lloyd","McCarthy","Head"],"authorFullName":["Gray, N.D.","Hastings, R.C.","Sheppard, S.K.","Loughnane, P.","Lloyd, D.","McCarthy, A.J.","Head, I.M."],"authorGivenName":["N.D.","R.C.","S.K.","P.","D.","A.J.","I.M."],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/04xs57h96","https://ror.org/03kk7td41"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of data comprises temporal temperature gradient electrophoresis (TTGE) and soil process measurements, used to analyse the effects of perturbations (sludge and/or lime application) on the structure, community development and activity of bacteria that catalyse fundamental processes in upland soils. These were collected to address the following questions: Do soil improvement treatments select for particular components of bacterial populations and hence drive community development? If so, at what functional and phylogenetic level is this selection expressed? Can any changes in community structure be related to changes in the function of the community or is biogeochemical function independent of community structure and controlled by other mechanisms?\n\nThe work was 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 (now the James Hutton Institute) farm at Sourhope in the Scottish Borders. 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":["Gray","Hastings","Sheppard","Loughnane","Lloyd","McCarthy","Head","Sier"],"fullName":["Gray, N.D.","Hastings, R.C.","Sheppard, S.K.","Loughnane, P.","Lloyd, D.","McCarthy, A.J.","Head, I.M.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["N.D.","R.C.","S.K.","P.","D.","A.J.","I.M.","A."],"identifier":"1cebca07-dd82-4ba2-823b-274868abda42","incomingCitationCount":0,"keyword":["TTGE","Sourhope","Scottish borders","Soil pH","Soil moisture","Soil ammonia","Total organic carbon","Total Kjeldahl nitrogen","Soil respiration rate","Soil ammonia oxidation potential","Soil de-nitrification potential","Soil methane production","Soil methane oxidisation potential","soil","methane","ammonia"],"keywordsInstrument":["TTGE"],"keywordsOther":["Soil pH","Soil moisture","Soil ammonia","Total organic carbon","Total Kjeldahl nitrogen","Soil respiration rate","Soil ammonia oxidation potential","Soil de-nitrification potential","Soil methane production","Soil methane oxidisation potential","soil","methane","ammonia"],"keywordsPlace":["Sourhope","Scottish borders"],"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). Data were collected by students and staff, following defined protocols, as recounted in supporting information. Data from the programme were managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.2439999999999998 55.464, -2.2439999999999998 55.481, -2.205 55.481, -2.205 55.464, -2.2439999999999998 55.464))"],"metadataDate":"2026-06-27T15:22:15.000Z","organisation":["Newcastle University","University of Liverpool","Cardiff University","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1cebca07-dd82-4ba2-823b-274868abda42","10.5285/1cebca07-dd82-4ba2-823b-274868abda42","doi:10.5285/1cebca07-dd82-4ba2-823b-274868abda42"],"resourceType":"Dataset","ror":["https://ror.org/01kj2bm70","https://ror.org/04xs57h96","https://ror.org/03kk7td41","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This set of data comprises temporal temperature gradient electrophoresis (TTGE) and soil process measurements, used to analyse the effects of perturbations (sludge and/or lime application) on the structure, community development and activity of bacteria that catalyse…","state":"published","supplementalDescription":["Website for the NERC Soil Biodiversity Programme","Gray, N.D., Hastings, R.C., Sheppard, S.K., Loughnane, P., Lloyd, D., McCarthy, A.J. and Head, I.M., 2003. Effects of soil improvement treatments on bacterial community structure and soil processes in an upland grassland soil. FEMS Microbiology Ecology, 46(1), pp.11-22.","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","Effects of soil improvement treatments on bacterial community structure and soil processes in an upland grassland soil.","Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme"],"title":"Bacterial community structure and soil process data from a sewage sludge amended upland grassland soil experiment, 2000 [NERC Soil Biodiversity Programme]","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["CONICET, Universidad Nacional del Comahue","Univ. Nacional de Tucuman","Universidad Nacional de Cordoba","Universidad de Buenos Aires","Univ. Nacional de Tucuman ","Instituto de Investigaciones en Ciencias Agrarias de Rosario","Universidade Federal de Sao Carlos","Universidade de Sao Paulo","UK Centre for Ecology & Hydrology"],"authorFamilyName":["da Cunha","Chacoff","Sáez","Galetto","Devoto","Carrasco","Mazzei","Castillo","Palacios","Vesprini","Agostini","Saraiva","Woodcock","Aizen"],"authorFullName":["da Cunha, N.L.","Chacoff, N.P.","Sáez, A.","Galetto, L.","Devoto, M.","Carrasco, J.","Mazzei, M.P.","Castillo, S.E.","Palacios, T.P.","Vesprini, J.L.","Agostini, K.","Saraiva, A.M.","Woodcock, B.A.","Aizen, M.A."],"authorGivenName":["N.L.","N.P.","A.","L.","M.","J.","M.P.","S.E.","T.P.","J.L.","K.","A.M.","B.A.","M.A."],"authorOrcid":["https://orcid.org/0000-0001-5509-6757","https://orcid.org/0000-0002-1115-6989","https://orcid.org/0009-0005-8988-2816","https://orcid.org/0000-0003-3828-657X","https://orcid.org/0000-0003-3098-236X","https://orcid.org/0000-0003-0424-3184","https://orcid.org/0000-0002-7947-350X","https://orcid.org/0000-0002-7801-1784","https://orcid.org/0000-0002-6593-4248","https://orcid.org/0000-0002-0038-3211","https://orcid.org/0000-0003-2283-1123","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-9079-9749"],"authorRor":["https://ror.org/02zvkba47","https://ror.org/04chzd762","https://ror.org/056tb7j80","https://ror.org/0081fs513","https://ror.org/02s040f34","https://ror.org/00qdc6m37","https://ror.org/036rp1748","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil.  Yield data was also collected from these same sites to elucidate the dependencies of this crop on insect pollination with a focus on managed and wild pollinators.  Data was collected over multiple seasons between 2020 and 2022. Soybean is one of the most traded agricultural commodities and is of significant economic importance in South America.  ","documentType":"GEMINI_DOCUMENT","familyName":["Devoto","da Cunha","Chacoff","Sáez","Galetto","Carrasco","Mazzei","Castillo","Palacios","Vesprini","Agostini","Saraiva","Woodcock","Aizen"],"fullName":["Devoto, M.","da Cunha, N.L.","Chacoff, N.P.","Sáez, A.","Galetto, L.","Carrasco, J.","Mazzei, M.P.","Castillo, S.E.","Palacios, T.P.","Vesprini, J.L.","Agostini, K.","Saraiva, A.M.","Woodcock, B.A.","Aizen, M.A."],"funder":["Natural Environment Research Council","National Scientific and Technical Research Council of Argentina (CONICET)","São Paulo Research Foundation"],"givenName":["M.","N.L.","N.P.","A.","L.","J.","M.P.","S.E.","T.P.","J.L.","K.","A.M.","B.A.","M.A."],"grant":["NE/S011870/2","RD 1984/19","2018/14994-1"],"identifier":"2bd21042-ebbc-4454-8ca3-96e18333ccd2","incomingCitationCount":0,"keyword":["autogamy autonomous self-pollination","ecosystem services","Glycine max","Soya","pollination","wild bees","honeybees","seed set","yield (agricultural)","bees","soybean"],"keywordsOther":["autogamy autonomous self-pollination","ecosystem services","Glycine max","Soya","pollination","wild bees","honeybees","seed set","yield (agricultural)","bees","soybean"],"licence":"Open government licence","lineage":"Fieldwork instrumentation used.  No fieldwork instrumentation was used outside of GPS to position the sites’ locations.   \n\nMethods of collection. Five study areas were located along a N-S latitudinal gradient from southern Brazil to central Argentina. Within each area, five soybean sites were selected. At each site sampling areas were established at the field edge (50 m from field boundary) and the field interior (150 m from the field boundary).\n\nPollinator sampling: During flowering, we conducted repeated measurements of pollinator abundance and diversity in each soybean field by sampling along 100-m-long transects (1 m wide) placed on the field margin (0 m from field edge) and within the crop at 50 and 150 m from the field edge. Pollinator sampling along transects was undertaken by slowly walking the transect for 20 minutes and recording all insects seen visiting flowers.  This was done on three occasions each day for an early (8:30-10:00h), mid (12-14:00h) and late (15:30-17:30) sample round. Pollinators were identified where possible to species or species aggregates in the field.  Where this was not possible individuals were collected for subsequent lab-based identification ideally to species, or where this was not possible to generic or some other level of identification. If necessary, a morphospecies concept was applied allowing the identification of recognizable taxonomic units even where taxonomic resolution was poor. Where possible the name of flowering plants in the field margin that received visits from the pollinators were recorded. Weather data was recorded in the form of temperature, humidity and wind speed.  \nPollination dependence of oilseed rape: At each sampling location in a field two (50 m and 150 m from the edge) sampling transects from the field edge were established (A and B).  We assessed pollinator dependence using a caging experiment consisting of two treatments: (i) closed to pollinators by covering crops within 1m2 enclosed by cages of fine mesh during the flowering period, (ii) open pollination (i.e., plot of 1m2 without manipulation). We harvested 5 plants per treatment, each taken from in the middle of the cage. Following harvest, we measured: (i) Total number of pods on the plant; (ii) Average number of seeds per pod; (ii) Weight of the seeds (grams) before drying; iii) Total dried weight of seeds from the plant (grams).  Additional information on crop variety, date of sowing and data of first observed flowers was recorded. Sampling was undertaken according to site in the harvest years of 2020, 2021 and 2022.\n\nNature and units of recorded variables.  All data on abundance of pollinators represents counts of individuals.  Data on fruit set represents counts of the number of fruits, buds and flowers.\n\nProcessing steps performed on the data.  No data has been transformed with the exception of mean seeds per pod values.\n\nQuality control/assessment applied to the data. All field workers were either experts with a long track record of pollinator identification or underwent extensive training.  Questionable specimens were collected for subsequent identification under laboratory conditions. Data was collected in the field using pre-prepared data sheets. Data sheets were checked both visually and following data entry into digital format by confirming where outlier abundances (>2SD from mean) were found that these were consistent with raw field data sheets. Balances used to weigh seeds are regularly calibrated.\n\nLimitations on the data reliability.  For the seed set data there is no shaded control that allows access to pollinators, although a preliminary study suggested that this treatment did not differ from a non-shaded open to pollinators control.","locations":["POLYGON((-86.177 -55.974, -86.177 9.449, -32.739 9.449, -32.739 -55.974, -86.177 -55.974))"],"metadataDate":"2026-06-29T18:02:23.000Z","orcid":["https://orcid.org/0000-0003-3098-236X","https://orcid.org/0000-0001-5509-6757","https://orcid.org/0000-0002-1115-6989","https://orcid.org/0009-0005-8988-2816","https://orcid.org/0000-0003-3828-657X","https://orcid.org/0000-0003-0424-3184","https://orcid.org/0000-0002-7947-350X","https://orcid.org/0000-0002-7801-1784","https://orcid.org/0000-0002-6593-4248","https://orcid.org/0000-0002-0038-3211","https://orcid.org/0000-0003-2283-1123","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-9079-9749"],"organisation":["Universidad de Buenos Aires","CONICET, Universidad Nacional del Comahue","Univ. 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Nacional de Tucuman ","Instituto de Investigaciones en Ciencias Agrarias de Rosario","Universidade Federal de Sao Carlos","Universidade de Sao Paulo","UK Centre for Ecology & Hydrology","Grupo de Ecología de la Polinizacion (EcoPol), INIBIOMA (CONICET, Universidad Nacional del Comahue)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2bd21042-ebbc-4454-8ca3-96e18333ccd2","10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2","doi:10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2"],"resourceType":"Dataset","rightsHolder":["Grupo de Ecología de la Polinizacion (EcoPol), INIBIOMA (CONICET, Universidad Nacional del Comahue)"],"ror":["https://ror.org/0081fs513","https://ror.org/02zvkba47","https://ror.org/04chzd762","https://ror.org/056tb7j80","https://ror.org/02s040f34","https://ror.org/00qdc6m37","https://ror.org/036rp1748","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil.  Yield data was also collected…","state":"published","title":"Insect pollinator visitations to soybean crops, and soybean crop yield, along a latitudinal gradient in South America, 2020-2022","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University","Forest Research Centre, Sabah Forestry Department","Universiti of Malaysia Sabah","Lancaster University"],"authorFamilyName":["Robinson","Elias","Goodall","McNamara","Griffiths","Majalap","Sau Wai","Ostle"],"authorFullName":["Robinson, S.J.B.","Elias, D.M.O.","Goodall, T.","McNamara, N.","Griffiths, R.","Majalap, N.","Sau Wai, Y.","Ostle, N."],"authorGivenName":["S.J.B.","D.M.O.","T.","N.","R.","Y."],"authorOrcid":["https://orcid.org/0000-0002-0011-7407","https://orcid.org/0000-0002-2674-9285","https://orcid.org/0000-0002-1526-4071","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-3341-4547","https://orcid.org/0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/040v70252","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern Malaysian Borneo. Sampling was conducted as part of a study investigating soil microbial community responses to either active restoration (enrichment planting) or passive restoration (natural regeneration) of selectively logged forest, relative to old-growth soil microbial communities.\n\nThis work was supported through the UK Natural Environment Research Council (NERC) Human Modified Tropical Forests Programme (Biodiversity and Land-use Impacts on Tropical Ecosystem Function (BALI) consortium [NE/K016253/1]), ENVISION Doctoral Training Scheme [NE/L002604/1] and NC International Programme [NE/X006247/1].","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Elias","Goodall","McNamara","Griffiths","Majalap","Sau Wai","Ostle"],"fullName":["Samuel Robinson","Robinson, S.J.B.","Elias, D.M.O.","Goodall, T.","McNamara, N.","Griffiths, R.","Majalap, N.","Sau Wai, Y.","Ostle, N."],"funder":["Natural Environment Research Council"],"givenName":["S.J.B.","D.M.O.","T.","N.","R.","Y."],"grant":["NE/K016253/1","NE/L002604/1","NE/X006247/1"],"identifier":"08bfe302-d33f-490d-97be-27bb83a0f38d","incomingCitationCount":0,"keyword":["Biodiversity","bacteria","ectomycorrhizal","forest rehabilitation","forest restoration","fungi","land use","selective logging","soil","soil microbes","soil properties"],"keywordsOther":["bacteria","ectomycorrhizal","forest rehabilitation","forest restoration","fungi","land use","selective logging","soil","soil microbes","soil properties"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Soil samples and forest structural and environmental data were collected at nine sites during one campaign in March 2018 . Three sampling sites were chosen in each of three forest types of old-growth, naturally regenerating and actively restored logged forest. Old-growth forest was located in the Danum Valley Conservation Area, and logged forest sites were situated within the adjacent Innoprise Face Foundation Rainforest Rehabilitation Project (INFAPRO) area. A geospatial transect design was employed for soil sampling and measurement of microclimate variables at each site to assess variation in microbial communities over cm to m scales. This comprised three transects radiating out from one centre point positioned at 120 ° to one another. Sampling points were located at the centre point, then at increasing distances of 10 cm, 30 cm, 90 cm, 2.7 m, 8.4 m and 24.3 m along each transect relative to the centre. The circumferences of all tree stems with diameter at breast height (DBH) >5 cm within a 2.5 m buffer of all transects were recorded at each site for site-level calculation of stem density and basal area. Soil physicochemical properties were analysed at the Sabah Forest Research Centre, Sepilok. Organic layer soil microbial community data were generated by 16S and ITS amplicon sequencing at UKCEH Wallingford, and Phospholipid Fatty Acid (PLFA) analysis at Lancaster University in the UK. Fungal functional guild classifications were assigned to fungal sequences using the FUNGuild annotation tool. Alpha diversity indices for microbial groups and relative abundances of fungal guilds were generated after rarefying by minimum read counts for each group . Rates of spatial turnover in soil microbial taxa for different microbial groups were calculated using the distance decay approach via linear modelling.","locations":["POLYGON((117.78 4.939, 117.78 5.012, 117.852 5.012, 117.852 4.939, 117.78 4.939))"],"metadataDate":"2026-06-29T17:19:40.000Z","orcid":["https://orcid.org/0000-0002-0011-7407","https://orcid.org/0000-0002-2674-9285","https://orcid.org/0000-0002-1526-4071","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-3341-4547","https://orcid.org/0000-0003-3263-3702"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Forest Research Centre, Sabah Forestry Department","Universiti of Malaysia Sabah","Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/08bfe302-d33f-490d-97be-27bb83a0f38d","10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d","doi:10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Lancaster University"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/040v70252","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern…","state":"published","title":"Soil microbial communities, soil, environmental and forest structural properties across old-growth forest and naturally regenerating or actively restored selectively logged tropical forest in Sabah, Borneo, March 2018 v2","topic":["0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars","Stagl"],"fullName":["Warnaars, T.","Stagl, S."],"givenName":["Tanya","S."],"identifier":"611061e5-dd3f-4612-b003-36120d0d35b2","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsOther":["Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T19:19:53.000Z","organisation":["UK Centre for Ecology & Hydrology","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315213681382","CEH:EIDC::1315213681382","https://catalogue.ceh.ac.uk/id/611061e5-dd3f-4612-b003-36120d0d35b2"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"title":"WATCH Forcing Data (WFD) - 20th Century Wind (near surface wind speed) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Mackay","McShane","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","E.B.","G. ","G.","S.J.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"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. All data are from January 2019 until the end of 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Mackay","McShane","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","E.B.","G. ","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"dd35316a-cecc-4f6d-9a21-74a0f6599e9e","incomingCitationCount":0,"keyword":["lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"keywordsOther":["lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\nMeasurements 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.\n","locations":["POLYGON((-2.985 54.393, -2.985 54.399, -2.973 54.399, -2.973 54.393, -2.985 54.393))"],"metadataDate":"2026-06-29T16:35:34.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd35316a-cecc-4f6d-9a21-74a0f6599e9e","10.5285/dd35316a-cecc-4f6d-9a21-74a0f6599e9e","doi:10.5285/dd35316a-cecc-4f6d-9a21-74a0f6599e9e"],"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, 2019-2020","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Brown","Pickard"],"authorFullName":["Brown, A.M.","Pickard, A.E."],"authorGivenName":["A.M.","A.E."],"authorOrcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the changes in GHG from a single point in the middle of the estuary (Breahead pontoon) through a tidal cycle at both the surface and bed so the impact of tidal river flow and stratification can be understood.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Brown","Pickard"],"fullName":["Brown, A.M.","Pickard, A.E.","Brown, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","A.E.","Alison"],"grant":["NE/S007431/1"],"identifier":"7f5b221e-d251-4bac-9252-16b4553dc345","incomingCitationCount":1,"keyword":["Scotland","Water quality","greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"keywordsOther":["greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"keywordsPlace":["Scotland"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The field data were collected between Aug 2020 and May 2022 on the Clyde estuary from the Breahead ponton across 7 surveys where data was measured through a tidal cycle and where data was collected both near the surface and near the bed on the Clyde estuary in Scotland.   Samples were analysed within the lab at UKCEH Edinburgh as part of an IAPETUS 2 DTP NERC funded PHD.  \nData were carefully quality controlled to check analytical methods data were correct including cross checking of data from different and methodologies and between surveys.   Any suspect data have been removed.\n","locations":["POLYGON((-4.4 55.8, -4.4 55.9, -4.3 55.9, -4.3 55.8, -4.4 55.8))"],"metadataDate":"2026-06-29T16:36:52.000Z","orcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Glasgow"],"publicationDate":"2023-07-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f5b221e-d251-4bac-9252-16b4553dc345","10.5285/7f5b221e-d251-4bac-9252-16b4553dc345","doi:10.5285/7f5b221e-d251-4bac-9252-16b4553dc345"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the…","state":"published","title":"Physico-chemical water properties and greenhouse gas measurements across a tidal cycle, Clyde estuary, Scotland, 2020-2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM1990 products are derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. \nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W."],"grant":["NE/R016429/1"],"identifier":"304a7a40-1388-49f5-b3ac-709129406399","incomingCitationCount":1,"keyword":["Great Britain","Land cover","Land use","vector","LCM1990","UK-SCAPE"],"keywordsOther":["vector","LCM1990","UK-SCAPE"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Land use"],"licence":"Non-Open government licence","lineage":"For LCM1990, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then imported into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon. LCM1990 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007, LCM2015 and LCM1990 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015 or LCM1990.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:41:20.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/304a7a40-1388-49f5-b3ac-709129406399","10.5285/304a7a40-1388-49f5-b3ac-709129406399","doi:10.5285/304a7a40-1388-49f5-b3ac-709129406399"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM1990 products are derived. It provides a number of attributes including land cover…","state":"published","title":"Land Cover Map 1990 (vector, GB)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","clamw"]},{"altTitle":["MaRIUS-G2G-MORECS-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 MORECS potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1960 to 2015.\n\nTo aid interpretation, two additional spatial datasets are provided:\n * Digitally-derived catchment areas on a 1km x 1km grid\n* Estimated 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.","documentType":"GEMINI_DOCUMENT","familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"funder":["Natural Environment Research Council"],"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"grant":["NE/L010208/1"],"identifier":"e911196a-b371-47b1-968c-661eb600d83b","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.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca ) and potential evaporation from MORECS (Hough and Jones 1997; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.","locations":["POLYGON((-8.902 49.771, -8.902 58.882, 3.181 58.882, 3.181 49.771, -8.902 49.771))"],"metadataDate":"2026-06-27T19:01:08.000Z","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":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e911196a-b371-47b1-968c-661eb600d83b","10.5285/e911196a-b371-47b1-968c-661eb600d83b","doi:10.5285/e911196a-b371-47b1-968c-661eb600d83b"],"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 MORECS potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1960…","state":"published","supplementalDescription":["Bell V.A,. Kay A.L., Jones R.G., Moore R.J. and 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, 335-350. "],"supplementalName":["Marius project website"],"title":"Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-monthly]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Oxford","State University of New York"],"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 data resource contains Drosophila simulans-sechellia backcross female mate choice (phenotype) aligned with whole-genome genotypes of 692 female backcross progeny. The data was generated in a laboratory at Stony Brook University New York and each test was conducted in 28.5 x 95mm plastic vials. Phenotype data was collected in 2015 and the final analysis was completed in 2021. Illumina libraries were sequenced at University of Oregon G3 Genomics Center, and the multiplexed shotgun genotyping (MSG) software was run at Janelia Research Campus Virginia.\n\nThe experiments were conducted to align the genotype of females with behavioural phenotype, female preference. Three test females were allowed to choose from three males of either species. ‘Choice’ was determined by copulation, and the species of ‘chosen’ male was recorded before gDNA was extracted from the female. \n\nStandard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing. Deniz Erezyilmaz was responsible for data collection and interpretation. Those genomes with ambiguous genotypes at more than 25% of markers due to sparse reads/coverage were eliminated from the analysis.\n\nThe research was funded through NERC grant NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization.","documentType":"GEMINI_DOCUMENT","familyName":["Erezyilmaz","Lu"],"fullName":["Erezyilmaz, D.","Erezyilmaz, D.F.","Lu, K."],"funder":["Natural Environment Research Council"],"givenName":["Deniz","D.F.","K."],"grant":["NE/S010351/1"],"identifier":"871c537d-2a84-432f-8597-7e895e0ffdcb","incomingCitationCount":0,"keyword":["Drosophila simulans","Drosophila sechellia "],"keywordsOther":["Drosophila simulans","Drosophila sechellia "],"licence":"Open government licence","lineage":"The Drosophila simulans-sechellia backcross genotypes were obtained by Multiplexed Shotgun Genotyping (Andolfatto et al, 2011), and the files were thinned using David Stern’s (Janelia Research Campus) script, pull_thin (github.com/dstern/pull_thin) were obtained by two-choice assay, females choosing between D. simulans and D. sechellia males.\n\nStandard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing, as described in: Andolfatto, P., Davison, D., Erezyilmaz, D., Hu, T.T., Mast, J., Sunayama-Morita, T., & Stern, D.L. (2011). Multiplexed shotgun genotyping for rapid and efficient genetic mapping. In Genome Research (Vol. 21, Issue 4, pp. 610–617). Cold Spring Harbor Laboratory. https://doi.org/10.1101/gr.115402.110","metadataDate":"2026-06-29T16:10:01.000Z","orcid":["https://orcid.org/0000-0001-8416-8561"],"organisation":["University of Oxford","State University of New York","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/871c537d-2a84-432f-8597-7e895e0ffdcb","10.5285/871c537d-2a84-432f-8597-7e895e0ffdcb","doi:10.5285/871c537d-2a84-432f-8597-7e895e0ffdcb"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/01q1z8k08","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource contains Drosophila simulans-sechellia backcross female mate choice (phenotype) aligned with whole-genome genotypes of 692 female backcross progeny. The data was generated in a laboratory at Stony Brook University New York and each test was conducted…","state":"published","supplementalDescription":["Andolfatto, P., Davison, D., Erezyilmaz, D., Hu, T.T., Mast, J., Sunayama-Morita, T., & Stern, D.L. (2011). Multiplexed shotgun genotyping for rapid and efficient genetic mapping. In Genome Research (Vol. 21, Issue 4, pp. 610–617). Cold Spring Harbor Laboratory."],"title":"Genotype-phenotype association for mate choice in a Drosophila simulans-sechellia backcross population","version":1.0,"view":["public","danor"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=5"}