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These streams were monitored at baseflow during mid-August 2006.Measurements include pH, Gran Alkalinity, SRP, TDP, TP and dissolved NH4, Si, Fluoride, Cl, NO2, NO3, SO4, Na, K, Ca, Mg, B, Li, Sr, Be, Ba, Mn, Co, Fe, Zn, V, Cd, Cu, Cr, Ni, Mo, Al and Pb. The study was undertaken as a component of a research programme examining the role of agriculture and other sources of nutrient contamination to rivers with an emphasis on agriculture and the Water Framework Directive and is largely based on the Humber Basin draining to the North Sea.","documentType":"GEMINI_DOCUMENT","familyName":["Neal","Davies"],"fullName":["Neal, C.","Neal, M.","Davies, H."],"givenName":["C.","M.","H."],"identifier":"bf1b9258-acfe-4c20-99cc-1b0d68027e29","incomingCitationCount":0,"keyword":["The Wolds","LOIS (Land Ocean Interaction Study)","ChREAM (Catchment Hydrology, Resources, Economics and Management)","RELU (Rural Economy and Land Use)","Water quality","Resources","Economics and Management"],"keywordsOther":["Resources","Economics and Management"],"keywordsPlace":["The Wolds"],"keywordsProject":["LOIS (Land Ocean Interaction Study)","ChREAM (Catchment Hydrology, Resources, Economics and Management)","RELU (Rural Economy and Land Use)"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"All baseflow survey samples were collected from 11th to 13th August 2006 under baseflow conditions. Water was filtered under vacuum in the field through 0.45μm cellulose nitrate circles prior to analysis for major, nutrient and trace element analysis. Unfiltered samples were collected for total P (TP). The analysis was performed the day after return to the laboratory for the least stable components (pH, alkalinity and the nutrients) and within two weeks for the other determinants. Details of the storage and analytical methodologies are provided in Neal et al. (2000). Levels of saturation of the waters with respect to CO2 (EpCO2) and calcite (in logarithmic form: SICaCO3) were determined using data on pH, alkalinity, Ca concentration and temperature (Neal et al., 1998b).","locations":["POLYGON((-1 53.255, -1 54, 0.36 54, 0.36 53.255, -1 53.255))"],"metadataDate":"2026-07-25T13:00:34.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-10-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1377089577730","CEH:EIDC::1377089577730","https://catalogue.ceh.ac.uk/id/bf1b9258-acfe-4c20-99cc-1b0d68027e29"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data from a water quality survey of streams draining rural and agricultural land to the North Sea from the Wolds region of the West Riding of Yorkshire and Lincolnshire in eastern England. These streams were monitored at baseflow during mid-August 2006.Measurements…","state":"published","supplementalDescription":["Neal, C, Davies, H and Neal, M, 2008. Water quality, nutrients and the water framework directive in an agricultural region: The lower Humber Rivers, northern England. J. Hydrol., 350, 232-245. ","G.J.L. Leeks, C. Neal, H.P. Jarvie, H. Casey, D.V. Leach, 1997. The LOIS river monitoring network: strategy and implementation. Science of The Total Environment Volumes 194-195, 24 February 1997, 101-109"],"title":"Baseflow chemistry of streams draining rural and agricultural land in the Wolds region of eastern England","topic":["0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorGivenName":["M.","T.","S.","C.","I.","Z.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to the present year), for the last 20 years, and for the last decade.   In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species).\n\nTrends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. \n\nTrends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\n#Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.\n","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"funder":["Natural Environment Research Council"],"givenName":["M.","T.","S.","C.","I.","Z.","D.B.","Tom"],"grant":["NE/R016429/1"],"identifier":"8ccccf05-45b4-4a65-b145-38e9b44d2ce4","incomingCitationCount":0,"keyword":["England","Scotland","Wales","Northern Ireland","United Kingdom","UK-SCAPE","Biodiversity","lepidopteran","butterfly"],"keywordsOther":["lepidopteran","butterfly"],"keywordsPlace":["England","Scotland","Wales","Northern Ireland","United Kingdom"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Indices are calculated for all species (across WCBS squares and traditional UKBMS sites) using the Generalised Abundance Index (GAI) method developed in 2016 with an additional modification that the data from each site in each year is weighted in the final stage relative to the proportion of the species flight period surveyed that year for that site. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which there was sufficient data available, the starting year for the series is later than 1976 for a number of rarer species.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T08:42:00.000Z","orcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8ccccf05-45b4-4a65-b145-38e9b44d2ce4","10.5285/8ccccf05-45b4-4a65-b145-38e9b44d2ce4","doi:10.5285/8ccccf05-45b4-4a65-b145-38e9b44d2ce4"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series…","state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: species trends 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Oxford","University of Manchester","Trees for Life"],"authorFamilyName":["Warner","Lewis","Hector","Brown","Green","Gilbert","McDonnell"],"authorFullName":["Warner, E.","Lewis, O.T.","Hector, A.","Brown, N.","Green, R.","Gilbert, D.","McDonnell, A."],"authorGivenName":["E.","O.T.","A.","N.","R.","D."],"authorOrcid":["0000-0003-2236-9725","0000-0001-7935-6111","0000-0002-1309-7716","0000-0002-9955-7858","0000-0002-2147-9087"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Ecosystem functions (including aboveground carbon, topsoil carbon, topsoil nitrogen, decomposition rates, soil invertebrate feeding, tree regeneration & vegetation structure) in woodland creation sites and unforested and mature forest areas in the Scottish Highlands.","documentType":"GEMINI_DOCUMENT","familyName":["Warner","Lewis","Hector","Brown","Green","Gilbert","McDonnell"],"fullName":["Warner, E.","Lewis, O.T.","Hector, A.","Brown, N.","Green, R.","Gilbert, D.","McDonnell, A."],"givenName":["E.","O.T.","A.","N.","R.","D.","Emily"],"identifier":"b76223dd-28ae-4b0e-acd3-3b2104eaae0c","incomingCitationCount":1,"keyword":["Scottish Highlands","Ecosystem function","forest expansion","woodland creation","vegetation","soil","carbon","reforestation","decomposition","nitrogen","invertebrate","regeneration","tree"],"keywordsOther":["Ecosystem function","forest expansion","woodland creation","vegetation","soil","carbon","reforestation","decomposition","nitrogen","invertebrate","regeneration","tree"],"keywordsPlace":["Scottish Highlands"],"licence":"Open government licence","lineage":"Fieldwork to establish this dataset was carried out during June-August 2018.\n\nData were collected in 10×10m survey plots, with a focal plot in 14 ungrazed woodland creation sites, matched to grazed and ungrazed unforested plots. Data were collected in a further 5 pairs of grazed and ungrazed plots in the target habitat (Caledonian pinewood).\n\nAboveground tree carbon was calculated using allometric equations based on dbh (diameter at breast height) measured in the field in July 2018.\n\nTopsoil carbon and nitrogen was calculated based on soil sampling during July 2018. Percentage carbon and nitrogen were analysed at Forest Research’s labs. Total carbon and nitrogen were calculated based on % C/N and bulk density.\n\nDecomposition rates were calculated using the Teabag Index, teabags were buried in June and reclaimed 3 months later in August.\n\nSoil invertebrate feeding was monitored using bait lamina, which were buried for 30 days from early June to early July.\n\nVegetation structure (shrub height and moss depth) and seedling regeneration were measured in the field during June and July 2018.","locations":["POLYGON((-5.23 57.2, -5.23 57.314, -4.726 57.314, -4.726 57.2, -5.23 57.2))"],"metadataDate":"2026-07-25T12:56:30.000Z","orcid":["0000-0003-2236-9725","0000-0001-7935-6111","0000-0002-1309-7716","0000-0002-9955-7858","0000-0002-2147-9087"],"organisation":["University of Oxford","University of Manchester","Trees for Life","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b76223dd-28ae-4b0e-acd3-3b2104eaae0c","10.5285/b76223dd-28ae-4b0e-acd3-3b2104eaae0c","doi:10.5285/b76223dd-28ae-4b0e-acd3-3b2104eaae0c"],"resourceType":"Dataset","rightsHolder":["University of Oxford","Trees for Life"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Ecosystem functions (including aboveground carbon, topsoil carbon, topsoil nitrogen, decomposition rates, soil invertebrate feeding, tree regeneration & vegetation structure) in woodland creation sites and unforested and mature forest areas in the Scottish Highland…","state":"published","title":"Soil and vegetation ecological function data in native reforestation, unforested and mature forest plots in the Scottish Highlands, 2018","version":1.0,"view":["public","jualob"]},{"authorAffiliation":["University of Glasgow","University of Stirling"],"authorFamilyName":["Zheng","Naylor","Waldron","Oliver"],"authorFullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.M."],"authorGivenName":["Y. 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Data are anonymised social survey data from questionnaires.\n\nThe data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Zheng","Naylor","Waldron","Oliver"],"fullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.M."],"funder":["Natural Environment Research Council"],"givenName":["Y. 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Scientists were surveyed from two countries to allow the comparison.","metadataDate":"2026-07-25T06:51:39.000Z","orcid":["0000-0002-7913-8234","0000-0002-4065-2674","0000-0002-2683-0761","0000-0002-6200-562X"],"organisation":["University of Glasgow","University of Stirling","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-12-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/71fc5250-727b-42ec-85ba-a45770e464b1","10.5285/71fc5250-727b-42ec-85ba-a45770e464b1","doi:10.5285/71fc5250-727b-42ec-85ba-a45770e464b1"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"Survey data on knowledge exchange experience of both Chinese and British scientists working on critical zone and more broadly on geoscience. Data are drawn from questionnaire surveys to explore the knowledge management methods used in their environmental research. Data…","state":"published","title":"Survey data of scientists on knowledge exchange in critical zone and geoscience","topic":["0/Soil/","0/Environmental survey/","0/Hydrology/","0/Water quality/","0/Ecosystem services/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"The Concentration Based Estimated Deposition (CBED) model generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network.   Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts.\n\nCBED datasets are provided as a 3 year rolling mean (e.g. 2013-2015) with each consecutive year updated on an annual basis. \n\n\n","documentType":"GEMINI_DOCUMENT","identifier":"bfa37333-b22e-41b8-829a-10c57d50e13f","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T13:00:55.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bfa37333-b22e-41b8-829a-10c57d50e13f"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The Concentration Based Estimated Deposition (CBED) model generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations…","state":"published","supplementalDescription":["UK-Air is the national UK website for the dissemination of air quality data and provides information on air pollution to members of the public. ","The UK Eutrophying and Acidifying Pollutants (UKEAP) network project combines two Defra atmospheric pollutant monitoring projects, which have measured air pollutants at rural sites across the UK over the past two decades.","APIS provides a comprehensive source of information on air pollution and the effects on habitats and species. APIS has been developed in partnership by the UK conservation agencies and regulatory agencies and the Centre for Ecology & Hydrology. The Site Relevant Critical Loads tool for protected site in the UK uses CBED data for calculating critical loads"],"supplementalName":["UK-Air","UKEAP","Air Pollution Information System (APIS)"],"title":"Concentration Based Estimated Deposition (CBED)","version":1.0,"view":["public","leav"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Sowerby","Emmett"],"authorFullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"authorGivenName":["S.","A.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily automated weather station (AWS) data from the Climoor field site in Clocaenog forest, North East Wales. The data are air temperature (mean, minimum and maximum), rainfall, net radiation, solar radiation, photosynthetically active radiation (PAR), wind speed and direction. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Data runs from 12/6/1999 until 30/06/2015, no data was collected March 2006 and June 2008. Air temperature, rainfall and wind speed and direction were recorded since June 1999. Measurements of relative humidity, air pressure, net and solar radiation and PAR started in June 2008. Since June 2008, data are recorded in minute intervals, averaged to hourly, then to daily means that are reported here. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Sowerby","Emmett"],"fullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"givenName":["S.","A.","B.A.","Sabine"],"identifier":"7f2a4935-a9e8-47dc-b126-93d9e19496bd","incomingCitationCount":0,"keyword":["Climate and climate change","AWS","meteorology","weather","climate change","biogeochemistry","air temperature","atmospheric precipitation","solar radiation","meteorological parameter"],"keywordsOther":["AWS","meteorology","weather","climate change","biogeochemistry","air temperature","atmospheric precipitation","solar radiation","meteorological parameter"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Prior to 2008, daily data was recorded on loggers at the field site, and manually downloaded into the project files on the CEH Bangor server by project staff. After 2008, hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry. An automated script transferred the data into the project shared area of the shared network drive. Data quality checking was done on a regular basis by an experienced member of the team who has worked at the field site and on data from the Clocaenog site for 14 years. Data was visually inspected using basic graphing tools, and erroneous values were removed, taking into account the weather at the site during the period in question. Data processing steps included using a macro to combine data from individual 24 hour periods into larger timed periods (post-2008), then data was cut/pasted into raw data files. Data here is collated raw data, and has only had erroneous values removed followed by basic average or summing (in the case of rainfall) calculations being carried out. The following measures were taken with sensors from Campbell Scientific: relative humidity and air temperature are recorded with an HMP45C sensor. Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer and net radiation is measured with an NR-Lites sensor. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed are recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-07-25T06:58:50.000Z","orcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f2a4935-a9e8-47dc-b126-93d9e19496bd","10.5285/7f2a4935-a9e8-47dc-b126-93d9e19496bd","doi:10.5285/7f2a4935-a9e8-47dc-b126-93d9e19496bd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily automated weather station (AWS) data from the Climoor field site in Clocaenog forest, North East Wales. The data are air temperature (mean, minimum and maximum), rainfall, net radiation, solar radiation, photosynthetically active radiation…","state":"published","title":"Daily automated weather station (AWS) data from Climoor fieldsite in Clocaenog Forest 1999-2015","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"eidc","description":"This series of datasets consists of mean estimate distribution maps of ash trees (Fraxinus excelsior) across Great Britain. It includes ash trees in areas less than half a hectare, ash trees in woody linear features and individual ash trees. The data are derived from Countryside Survey 2007. Trees were mapped in 569 1km sample squares across Britain using a stratified random sampling system based on the ITE Land Classification. Mean national estimates were produced by scaling up from the sample data.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell"],"fullName":["Maskell, L.C."],"givenName":["L.C."],"identifier":"1bc1abdd-1d6c-4e50-9d21-a94da82c17e7","incomingCitationCount":0,"keyword":["Great Britain","Biodiversity","Fraxinus excelsior"],"keywordsOther":["Fraxinus excelsior"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Data were collected as part of the Countryside Survey monitoring project in 2007. Data were collected from 591 1km sample squares and scaled up to national estimates using the ITE Land Classification. See supporting documentation for further information.","locations":["POLYGON((-7.95 49.83, -7.95 60.96, 2.5 60.96, 2.5 49.83, -7.95 49.83))"],"metadataDate":"2026-07-24T19:16:14.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-08-30T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1377860425245","CEH:EIDC::1377860425245","https://catalogue.ceh.ac.uk/id/1bc1abdd-1d6c-4e50-9d21-a94da82c17e7"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This series of datasets consists of mean estimate distribution maps of ash trees (Fraxinus excelsior) across Great Britain. It includes ash trees in areas less than half a hectare, ash trees in woody linear features and individual ash trees. The data are derived from…","state":"published","supplementalDescription":["Distribution of Ash trees (Fraxinus excelsior) in Countryside Survey data (2013). Maskell, L.C., Henrys, P.A., Norton, L.R., Smart, S.M. and Wood, C.M. January 2013, NERC/Centre for Ecology & Hydrology, Lancaster."],"supplementalName":["Information regarding Countryside Survey monitoring project"],"title":"Ash tree distribution in Great Britain 2007","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Edinburgh","Universidade Eduardo Mondlane, Faculdade de Agronomia e Engenharia Florestal","Universidade Lúrio","Centro Polivalente Leão Dehon"],"authorFamilyName":["Woollen","Ryan","Nhaduco","Da Costa","Rodrigues","Armando","Baumert","Zorilla-Miras"],"authorFullName":["Woollen, E.","Ryan, C.M.","Nhaduco, O.","Da Costa, A.A.","Rodrigues, C.","Armando, F.","Baumert, S.","Zorilla-Miras, P."],"authorGivenName":["E.","C.M.","O.","A.A.","C.","F.","S.","P."],"authorOrcid":["0000-0002-6504-4835","0000-0002-1802-0128","0000-0003-2408-1303","0000-0002-5019-1015"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/05n8n9378","https://ror.org/03sbnrq14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises 259 smallholder agricultural field surveys collected from twenty-six villages across three Districts in Mozambique, Africa. Surveys were conducted in ten fields in each of six villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District, Zambezia Province. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. Fields were selected based on their age, location, and status as an active field at the time of the survey (i.e. no fallow fields were sampled). Structured interviews using questionnaires were conducted with each farmer to obtain information about current management practices (e.g. use of inputs, tilling, fire and residue management), age of the field, crops planted, crop yields, fallow cycles, floods, erosion and other problems such as crop pests and wild animals. The survey also includes qualitative observations about the fields at the time of the interview, including standing live trees and cropping systems. This dataset was collected as part of the Ecosystem Services for Poverty Alleviation (ESPA) funded ACES project , which aims to understand how changing land use impacts on ecosystem services and human wellbeing of the rural poor in Mozambique. ","documentType":"GEMINI_DOCUMENT","familyName":["Woollen","Ryan","Nhaduco","Da Costa","Rodrigues","Armando","Baumert","Zorilla-Miras"],"fullName":["Woollen, E.","Ryan, C.M.","Nhaduco, O.","Da Costa, A.A.","Rodrigues, C.","Armando, F.","Baumert, S.","Zorilla-Miras, P."],"funder":["Natural Environment Research Council"],"givenName":["E.","C.M.","O.","A.A.","C.","F.","S.","P."],"grant":["NE/K010395/1"],"identifier":"78c5dcee-61c1-44be-9c47-8e9e2d03cb63","incomingCitationCount":0,"keyword":["Mozambique","Mabalane District","Gaza Province","Marrupa District","Niassa Province","Gurue District","Zambezia Province","crops","smallholder","agriculture","fertiliser","pest"],"keywordsOther":["crops","smallholder","agriculture","fertiliser","pest"],"keywordsPlace":["Mozambique","Mabalane District","Gaza Province","Marrupa District","Niassa Province","Gurue District","Zambezia Province"],"licence":"Open government licence","lineage":"All data were quality assured by the lead author. When in the field, all interviewers were trained before conducting interviews with farmers to ensure consistent robust interview techniques and recording of data. Data were continually checked for errors as it was collected. All interviewers were able to translate directly from the local language to Portuguese, and all data were recorded in Portuguese. All translations from Portuguese to English were done by the lead author. Wherever possible, pre-set answers or binary responses to questions were used to systematically record qualitative observations and avoid ambiguous results. \nAll quantitative estimates of crop yields must be used with caution, as data are based on recall data and unit conversions are uncertain and should be considered as rough estimates of yields. Unit conversions for yield data were based on local measurements of harvest units and weights where possible, or from government data. Other estimates are based on best available literature or rough estimates of weights and volume conversions. In cases where the volume or size of the local unit of harvest was not specified (e.g. sack or bucket), the most common volume or size of the unit reported in household surveys in each village were used.\n","locations":["POLYGON((29.68 -27.479, 29.68 -10.347, 42.248 -10.347, 42.248 -27.479, 29.68 -27.479))"],"metadataDate":"2026-07-25T06:54:58.000Z","orcid":["0000-0002-6504-4835","0000-0002-1802-0128","0000-0003-2408-1303","0000-0002-5019-1015"],"organisation":["University of Edinburgh","Universidade Eduardo Mondlane, Faculdade de Agronomia e Engenharia Florestal","Universidade Lúrio","Centro Polivalente Leão Dehon","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78c5dcee-61c1-44be-9c47-8e9e2d03cb63","10.5285/78c5dcee-61c1-44be-9c47-8e9e2d03cb63","doi:10.5285/78c5dcee-61c1-44be-9c47-8e9e2d03cb63"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/05n8n9378","https://ror.org/03sbnrq14","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises 259 smallholder agricultural field surveys collected from twenty-six villages across three Districts in Mozambique, Africa. Surveys were conducted in ten fields in each of six villages in Mabalane District, Gaza Province, ten villages in Marrupa…","state":"published","title":"Rural smallholder agricultural field management surveys across Mozambique","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Inston","Rayner","Morrell","Shannon","Hatchell","Bennie","Gaston"],"authorFullName":["Inston, M.J.","Rayner, C.W.","Morrell, S.","Shannon, J.P.","Hatchell, J.","Bennie, J.","Gaston, K.J."],"authorGivenName":["Maisy J.","Charlie W.","Sam","John P.","Jennifer","Jonathan","Kevin J."],"authorOrcid":["0009-0008-5833-0180","0009-0000-4437-5435","0000-0001-6352-5312","0009-0006-9456-7068","0000-0002-4870-2760","0000-0003-4394-2041","0000-0002-7235-7928"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"GPS data of tracks of a number of hedgehogs that were found around the University of Exeter Penryn campus, Penryn, Cornwall, UK. The tracks were recorded between May and November 2024. Hedgehog surveys were performed to find candidate hedgehogs. If the hedgehogs met strict guidelines, they were fitted with a GPS tracker then released. Ad libitum surveys were then performed to connect to the trackers and recover the data and, where possible, retrieve the trackers. By analysing the resulting tracks, in relation at artificial light at night (ALAN) present in the environment, we can gauge the impact of ALAN on hedgehog behaviour and habitat use. Maisy Inston and Charlie Rayner performed the hedgehog surveys and data retrieval, with assistance from other members of the project team.","documentType":"GEMINI_DOCUMENT","familyName":["Inston","Rayner","Morrell","Shannon","Hatchell","Bennie","Gaston"],"fullName":["Inston, M.J.","Rayner, C.W.","Morrell, S.","Shannon, J.P.","Hatchell, J.","Bennie, J.","Gaston, K.J.","Samuel Morrell"],"funder":["Natural Environment Research Council"],"givenName":["Maisy J.","Charlie W.","Sam","John P.","Jennifer","Jonathan","Kevin J."],"grant":["NE/V000497/1"],"identifier":"d2269ad4-6362-4885-84ce-4e401810fadc","incomingCitationCount":0,"keyword":["Animal behaviour","Environmental survey","animal behaviour","behaviour","ecology","urban biodiversity","urban ecology","Penryn"],"keywordsOther":["animal behaviour","behaviour","ecology","urban biodiversity","urban ecology","Penryn"],"keywordsTheme":["Animal behaviour","Environmental survey"],"licence":"Open government licence","lineage":"The tracks in this dataset were recorded by an i-gotU GPS tracker attached to the GPS hedgehog. The data were then retrieved by a member of the project team, as and when they were able to connect to the tracker and download the GPS data. Strict guidelines were imposed on the hedgehogs we fitted trackers to. This was primarily for the wellbeing of the hedgehogs, but also a quality assurance measure.","locations":["POLYGON((-5.138 50.15, -5.138 50.183, -5.088 50.183, -5.088 50.15, -5.138 50.15))"],"metadataDate":"2026-07-25T14:17:53.000Z","orcid":["0009-0008-5833-0180","0009-0000-4437-5435","0000-0001-6352-5312","0009-0006-9456-7068","0000-0002-4870-2760","0000-0003-4394-2041","0000-0002-7235-7928"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d2269ad4-6362-4885-84ce-4e401810fadc","10.5285/d2269ad4-6362-4885-84ce-4e401810fadc","doi:10.5285/d2269ad4-6362-4885-84ce-4e401810fadc"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"GPS data of tracks of a number of hedgehogs that were found around the University of Exeter Penryn campus, Penryn, Cornwall, UK. The tracks were recorded between May and November 2024. Hedgehog surveys were performed to find candidate hedgehogs. If the hedgehogs met…","state":"published","title":"Hedgehog behaviour observations in response to light, Penryn, Cornwall, UK, May-November 2024","topic":["0/Animal behaviour/","0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant target class across the 1km area. The target classes broadly represent Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"6cffd348-dad7-46f9-9c5b-8d904dd5b2a2","incomingCitationCount":0,"keyword":["Great Britain","Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsOther":["Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsPlace":["Great Britain"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes the addition of OS Tiles HZ and NW. See online supporting information for further details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:48:42.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399373518003","CEH:EIDC::1399373518003","https://catalogue.ceh.ac.uk/id/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2","10.5285/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2","doi:10.5285/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant target class across the 1km area. The target classes broadly represent Broad Habitats (see below). The dataset is part of a…","state":"published","title":"Land Cover Map 2007 (1km dominant target class, GB) v1.2","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Liverpool ","UK Centre for Ecology & Hydrology","University of Liverpool"],"authorFamilyName":["Dunn","Daunt","Wanless","Harris","Green"],"authorFullName":["Dunn, R.E.","Daunt, F.","Wanless, S.","Harris, M.P.","Green, J.A."],"authorGivenName":["R.E.","F.","S.","M.P.","J.A."],"authorOrcid":["0000-0003-0927-2734","0000-0003-4638-3388","0000-0002-2788-4606","0000-0001-8692-0163"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains activity data from thirteen common guillemots (Uria aalge) from the Isle of May during the 2005-2006 annual cycle. These biologging data were collected using global location sensing (GLS) time depth recorder (TDR) devices. From these data we derived daily data on guillemot activity budgets, sea surface temperature values, energy expenditure, location fixes and the proportion of dive activity that occurred during day, twilight and night.\n\nData on colony attendance were also collected using daily time-lapse photography.","documentType":"GEMINI_DOCUMENT","familyName":["Dunn","Daunt","Wanless","Harris","Green"],"fullName":["Dunn, R.E.","Daunt, F.","Wanless, S.","Harris, M.P.","Green, J.A.","Dunn, R."],"givenName":["R.E.","F.","S.","M.P.","J.A.","Ruth"],"identifier":"bd24da1f-0761-4564-8dd8-dfd71a559a71","incomingCitationCount":1,"keyword":["Isle of May","Environmental survey","Uria aalge"],"keywordsOther":["Uria aalge"],"keywordsPlace":["Isle of May"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data have been collected by Centre for Ecology & Hydrology (CEH) staff on the May National Nature Reserve, Scotland (56 deg 11' N, 02 deg 33' W) using standardised methods since 1987, and this work has continued to the present as part of the Isle of May Long-term Study (IMLOTS; https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study ).\n\nAs part of this long-term study, data on year-round guillemot activity was collected as part of a biologging project part-funded by the Royal Society for the Prevention of Cruelty to Animals. Biologging data were collected using global location sensing (GLS) time depth recorder (TDR) devices during 2005-2006. From these data we derived guillemot activity budgets (hours spent diving, flying, at the colony, active on water and inactive on water), sea surface temperature values (SST; recorded by the bird-borne loggers), energy expenditure, location fixes and the proportion of dive activity that occurred during day, twilight and night. Year-round colony attendance was also recorded using time-lapse photography. The full methodology is available in the Supporting Information document attached to this record.","locations":["POLYGON((-2.5 56.1, -2.5 56.5, -2.35 56.5, -2.35 56.1, -2.5 56.1))"],"metadataDate":"2026-07-25T12:59:43.000Z","orcid":["0000-0003-0927-2734","0000-0003-4638-3388","0000-0002-2788-4606","0000-0001-8692-0163"],"organisation":["University of Liverpool ","UK Centre for Ecology & Hydrology","University of Liverpool","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bd24da1f-0761-4564-8dd8-dfd71a559a71","10.5285/bd24da1f-0761-4564-8dd8-dfd71a559a71","doi:10.5285/bd24da1f-0761-4564-8dd8-dfd71a559a71"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains activity data from thirteen common guillemots (Uria aalge) from the Isle of May during the 2005-2006 annual cycle. These biologging data were collected using global location sensing (GLS) time depth recorder (TDR) devices. From these data we derived…","state":"published","title":"Activity data from common guillemots from the Isle of May during the 2005-2006 annual cycle","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Pond Conservation ","Centre for Ecology & Hydrology"],"authorFamilyName":["Williams","Biggs","Crowe","Murphy","Nicolet","Weatherby","Dunbar","Edwards"],"authorFullName":["Williams, P.","Biggs, J.","Crowe, A.","Murphy, J.","Nicolet, P.","Weatherby, A.","Dunbar, M.","Edwards, F."],"authorGivenName":["P.","J.","A.","M.","F."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of freshwater pond quality data for sites across Great Britain in 2007. Data include macrophyte species records, chemistry and water quality, and environmental variables such as pollution, grazing and management, from ponds surveyed within a set of 591 1km squares across Great Britain (note - not all squares contained ponds). The survey was part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside, and was carried out by the Centre for Ecology & Hydrology and Pond Conservation. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. 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 freshwater habitat data, habitat areas, vegetation species data, soil data and linear habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Williams","Biggs","Crowe","Murphy","Nicolet","Weatherby","Dunbar","Edwards"],"fullName":["Williams, P.","Biggs, J.","Crowe, A.","Murphy, J.","Nicolet, P.","Weatherby, A.","Dunbar, M.","Edwards, F."],"givenName":["P.","J.","A.","M.","F."],"identifier":"cbb9ee99-8078-4dc4-87de-ee99390e579e","incomingCitationCount":0,"keyword":["Countryside Survey","Environmental survey","pond","water quality","macrophyte species","pollution","grazing","environmental management"],"keywordsOther":["pond","water quality","macrophyte species","pollution","grazing","environmental management"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded on paper in the summer of 2007 by professional surveyors and transferred to digital files by Pond Conservation staff. Chemical analyses were undertaken by UKAS accredited laboratories at CEH Lancaster. Data were recorded from up to 591 1km squares sited across Britain, selected by random stratified sample. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:05:13.000Z","organisation":["Pond Conservation ","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cbb9ee99-8078-4dc4-87de-ee99390e579e","10.5285/cbb9ee99-8078-4dc4-87de-ee99390e579e","doi:10.5285/cbb9ee99-8078-4dc4-87de-ee99390e579e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of freshwater pond quality data for sites across Great Britain in 2007. Data include macrophyte species records, chemistry and water quality, and environmental variables such as pollution, grazing and management, from ponds surveyed within a set…","state":"published","supplementalName":["Countryside Survey website"],"title":"Freshwater pond quality data 2007 [Countryside Survey] v1.1","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"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":["0000-0002-1516-6834","0000-0003-1142-4039","0000-0001-9294-5826","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. 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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, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"metadataDate":"2026-07-25T14:25:37.000Z","orcid":["0000-0002-1516-6834","0000-0003-1142-4039","0000-0001-9294-5826","0000-0002-5256-3310"],"organisation":["Centre for Ecology & Hydrology","UK 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"]},{"catalogue":"infrastructure","description":"The purpose of the UK Hydrological Outlooks portal is to allow users to explore the hydrological forecasts for the next one to three months, and sometimes beyond.","documentType":"infrastructurerecord","identifier":"cb29687b-9b27-4b80-836e-594b3f47ccae","incomingCitationCount":0,"infrastructureCapabilities":"The UK Hydrological Outlooks Portal is a web-based data explorer which allows users to visualise the model outputs from the Hydrological Outlook, both spatially and in the form of a number of time series. In addition, this portal includes 1km gridded Grid-to-Grid (G2G) hydrological model runs showing current mean flow conditions and simulated subsurface water storage conditions.","infrastructureCategory":["Environmental data and information"],"infrastructureChallenge":["Climate change: mitigation","Climate change: adaptation"],"infrastructureClass":["Digital infrastructures"],"metadataDate":"2025-04-11T12:10:54.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cb29687b-9b27-4b80-836e-594b3f47ccae"],"resourceType":"Science infrastructure","scienceArea":"Water Resources","shortenedDescription":"The purpose of the UK Hydrological Outlooks portal is to allow users to explore the hydrological forecasts for the next one to three months, and sometimes beyond.","state":"published","title":"UK Hydrological Outlooks portal","version":1.0,"view":["public","naj"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M. ","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"authorOrcid":["0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target (or 'sub') classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Note that the Band numberings in the dataset run from 1-11 rather than 0-10 and therefore each band relates to the one below it in the subclass code list.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard","Wood"],"fullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F.","Wood, C."],"givenName":["R.M.","G.M.","J.M. ","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F.","Claire"],"identifier":"bff95455-9f28-48e5-a8d1-340fb79f9719","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Habitats"],"keywordsOther":["Habitats"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"In a major development of earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see the on-line supporting documentation.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-07-25T13:00:58.000Z","orcid":["0000-0001-5916-5174"],"organisation":["Natural Environment Research Council","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287478130632","CEH:EIDC::1287478130632","https://catalogue.ceh.ac.uk/id/bff95455-9f28-48e5-a8d1-340fb79f9719","10.5285/bff95455-9f28-48e5-a8d1-340fb79f9719","doi:10.5285/bff95455-9f28-48e5-a8d1-340fb79f9719"],"resourceType":"Dataset","ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are…","state":"published","supplementalDescription":["Fuller, R.M., Smith, G.M., Sanderson, J.M., Hill, R.A., & Thomson, A.G. (2002). The UK Land Cover Map 2000: construction of a parcel-based vector map from satellite images. Cartographic Journal, 39. 15-25."],"title":"Land Cover Map 2000 (1km percentage aggregate class, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Bath","7 Lakes Alliance"],"authorFamilyName":["Slavin","Wain"],"authorFullName":["Slavin, E.I.","Wain, D.J."],"authorGivenName":["E.I.","D.J."],"authorOrcid":["0000-0001-9400-0703","0000-0001-5091-102X"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This  dataset contains Dissolved oxygen concentrations from two different locations in Durleigh Reservoir in Somerset, England. Two miniDOT oxygen loggers were fitted with miniWIPERs and deployed at two locations in Durleigh on 30 May 2018. Both sensors were collected on 5 October 2018 and the raw data files are presented in this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Slavin","Wain"],"fullName":["Slavin, E.I.","Wain, D.J.","Slavin, E."],"funder":["Natural Environment Research Council"],"givenName":["E.I.","D.J.","Emily"],"identifier":"26b35c45-c174-4930-b82c-bcd0d23c39e1","incomingCitationCount":0,"keyword":["Water quality","Pollution","Environmental survey","reservoir"],"keywordsOther":["reservoir"],"keywordsTheme":["Water quality","Pollution","Environmental survey"],"licence":"Open government licence","lineage":"Each location was marked with a buoy (A2 size) attached to a 10 kg weight using rope. The miniDOTs were attached onto the rope near the weight (bottom of the water column) at both locations. Both miniDOTs were set up to take measurements at ten-minute intervals for dissolved oxygen (% saturation and mg l-1) and temperature (deg C)\n\nThe first site, labelled location 2, is closer to the artificial mixing devices (surface mixers) installed in the reservoir (60 m away) and deeper, with a water depth of 6 m when the MiniDOT logger was deployed. The second site, labelled location 3, is farther away from the artificial mixing devices installed in the reservoir (435 m away) and in a shallower region, with a water depth of 4 m on deployment. On the 13 June 2018 and 21 August 2018, both miniDOTs were brought to the surface to change miniWIPER batteries and remove any fouling from the sensors. Nevertheless, there were periods during the 2018 deployment where the sensors were fouled, and dissolved oxygen measurements were reading 0% saturation.","locations":["POLYGON((-3.056 51.118, -3.056 51.125, -3.037 51.125, -3.037 51.118, -3.056 51.118))"],"metadataDate":"2026-07-24T19:26:35.000Z","orcid":["0000-0001-9400-0703","0000-0001-5091-102X"],"organisation":["University of Bath","7 Lakes Alliance","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26b35c45-c174-4930-b82c-bcd0d23c39e1","10.5285/26b35c45-c174-4930-b82c-bcd0d23c39e1","doi:10.5285/26b35c45-c174-4930-b82c-bcd0d23c39e1"],"resourceType":"Dataset","rightsHolder":["University of Bath"],"ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"This  dataset contains Dissolved oxygen concentrations from two different locations in Durleigh Reservoir in Somerset, England. Two miniDOT oxygen loggers were fitted with miniWIPERs and deployed at two locations in Durleigh on 30 May 2018. Both sensors were collected…","state":"published","title":"Dissolved Oxygen concentrations from Durleigh Reservoir, 2018","topic":["0/Water quality/","0/Pollution/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["British Geological Survey","National Oceanography Centre","Plymouth Marine Laboratory","UK Centre for Ecology & Hydrology","Durham University","University of the Highlands and Islands"],"authorFamilyName":["Tye","Balfour","Bowes","Brown","Evans","Farr","Felgate","Hargreaves","Kitidis","Lapworth","Martin","Mayor","Mounteney","Nightingale","Pickard","Sanders","Spears","Stephens","Stinchcombe","Torres","Williams","Williamson","Woodward","Boothroyd","Breimann","Burden","Callaghan","Gilbert","Ives","Juergens","Keenan","Hughes","Lichtschlag","Mack","Mallin Martin","Mawji","McDonald","Olszewska","Parkes","Pearce","Peel","Perreira","Pugh","Rees","White","Worrall","Yarrow"],"authorFullName":["Tye, A.","Balfour, C.","Bowes, M.","Brown, I.","Evans, C.","Farr, G.","Felgate, S.","Hargreaves, G.","Kitidis, V.","Lapworth, D.J.","Martin, A.","Mayor, D.J.","Mounteney, I.","Nightingale, P.","Pickard, A.","Sanders, R.","Spears, B.","Stephens, J.","Stinchcombe, M.","Torres, R.","Williams, P.","Williamson, J.","Woodward, M.","Boothroyd, I.","Breimann, S.","Burden, A.","Callaghan, N.","Gilbert, P.","Ives, S.","Juergens, M.","Keenan, P.","Hughes, L.","Lichtschlag, A.","Mack, S.","Mallin Martin, D.","Mawji, E.","McDonald, R.","Olszewska, J.","Parkes, D.","Pearce, C.","Peel, K.","Perreira, G.","Pugh, J.","Rees, A.","White, D.","Worrall, F.","Yarrow, D."],"authorGivenName":["A.","C.","M.","I. 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Data come from 41 rivers from around Great Britain, sampled on a monthly basis during 2017.\n\nLOCATE (Land Ocean CArbon TransfEr) is a multi-disciplinary project that undertakes coordinated sampling of the major rivers in Great Britain to establish how much carbon from soils is getting into rivers and estuaries and to determine what is happening to it. LOCATE is a multidisciplinary NERC project involving the National Oceanography Centre, the British Geological Survey, the Centre for Ecology and Hydrology and the Plymouth Marine Laboratory, with assistance from the University of Lancaster, University of Durham, University of Hull, the University of the Highlands and Islands and the Environment Agency.","documentType":"GEMINI_DOCUMENT","familyName":["Tye","Balfour","Bowes","Brown","Evans","Farr","Felgate","Hargreaves","Kitidis","Lapworth","Martin","Mayor","Mounteney","Nightingale","Pickard","Sanders","Spears","Stephens","Stinchcombe","Torres","Williams","Williamson","Woodward","Boothroyd","Breimann","Burden","Callaghan","Gilbert","Ives","Juergens","Keenan","Hughes","Lichtschlag","Mack","Mallin Martin","Mawji","McDonald","Olszewska","Parkes","Pearce","Peel","Perreira","Pugh","Rees","White","Worrall","Yarrow"],"fullName":["Tye, A.","Balfour, C.","Bowes, M.","Brown, I.","Evans, C.","Farr, G.","Felgate, S.","Hargreaves, G.","Kitidis, V.","Lapworth, D.J.","Martin, A.","Mayor, D.J.","Mounteney, I.","Nightingale, P.","Pickard, A.","Sanders, R.","Spears, B.","Stephens, J.","Stinchcombe, M.","Torres, R.","Williams, P.","Williamson, J.","Woodward, M.","Boothroyd, I.","Breimann, S.","Burden, A.","Callaghan, N.","Gilbert, P.","Ives, S.","Juergens, M.","Keenan, P.","Hughes, L.","Lichtschlag, A.","Mack, S.","Mallin Martin, D.","Mawji, E.","McDonald, R.","Olszewska, J.","Parkes, D.","Pearce, C.","Peel, K.","Perreira, G.","Pugh, J.","Rees, A.","White, D.","Worrall, F.","Yarrow, D."],"funder":["Natural Environment Research Council"],"givenName":["A.","C.","M.","I. ","G.","S.","V.","D. J.","A. ","I.","P.","R.","B.","J.","P. ","N.","L.","D.","E.","R. ","J. ","K.","F.","Adrian"],"grant":["NE/N018087/1"],"identifier":"08223cdd-5e01-43ad-840d-15ff81e58acf","incomingCitationCount":0,"keyword":["Water quality","Hydrology","alkalinity","pH","particulate organic nitrogen","13C","15N","fluorescence","absorbance","NO3-N","PO4-P","NH4-N","ammonia","phosphate","nitrate"],"keywordsOther":["alkalinity","pH","particulate organic nitrogen","13C","15N","fluorescence","absorbance","NO3-N","PO4-P","NH4-N","ammonia","phosphate","nitrate"],"keywordsTheme":["Water quality","Hydrology"],"licence":"Open government licence","lineage":"One third of rivers in Great Britain were sampled, accounting for approximately 36%  of the catchment areas. For each river, a single visit was made once each month to collect water for analysis. Water was sampled using a bottle or bucket and then immediately filtered and/or decanted into other appropriate bottles, prior to being sent for analysis.  Temperature was recorded immediately on sampled water. Conductivity was often done in situ but occasionally later in the laboratory if a field instrument was not available. The methods used for all parameters are described in the Supporting Documentation. Additional information on weather and flow and state of river was also recorded. In addition to the precise location of the sampling point, the Supporting Documentation on rivers includes NRFA code, catchment area, land use, standardised annual rainfall, Base Flow Index, altitude and percentage of carbonate rocks in catchment.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:57:05.000Z","orcid":["0000-0003-3949-3802","0000-0001-7838-7960","0000-0002-1202-8612","0000-0002-1295-0041","0000-0003-1069-3720","0000-0002-6884-7131","0000-0002-9035-2637","0000-0001-8216-5885","0000-0002-7187-6689","0000-0002-0673-1934","0000-0002-7694-1638","0000-0003-0273-6161","0000-0001-8281-2165","0000-0002-4382-2341","0000-0003-3070-3447"],"organisation":["British Geological Survey","National Oceanography Centre","Plymouth Marine Laboratory","UK Centre for Ecology & Hydrology","Durham University","University of the Highlands and Islands","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-08-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/08223cdd-5e01-43ad-840d-15ff81e58acf","10.5285/08223cdd-5e01-43ad-840d-15ff81e58acf","doi:10.5285/08223cdd-5e01-43ad-840d-15ff81e58acf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04a7gbp98","https://ror.org/00874hx02","https://ror.org/05av9mn02","https://ror.org/00pggkr55","https://ror.org/01v29qb04","https://ror.org/02s08xt61","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains particulate and dissolved organic carbon concentrations, nutrients (ammonia, nitrates, phosphate), alkalinity, pH, particulate organic nitrogen, delta-C-13 and delta-15-N isotopes, fluorescence and absorbance from river water samples. Data come…","state":"published","supplementalName":["LOCATE project website"],"title":"Monthly sampling of riverine chemistry and organic matter for 41 rivers in Great Britain in 2017 as part of the LOCATE project","topic":["0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Aalto"],"authorFullName":["Aalto, R."],"authorGivenName":["Rolf"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This GeoTiff presents the results of multi-beam sonar scans of the bed of the Solimoes River (upper Amazon) collected in early October 2022 upstream of Tefe, Brazil. These scans were collected as part of our study of the characteristics of the river banks and bed, an investigation of controls on channel mobility (results were published in Bruckner, Aalto, et al., 2024, Geology v.52 (7), 533-538). \n\nIt can be viewed as a simple TIF file in a photo viewer, or it can be imported into a GIS system for located display (and access to metadata). ","documentType":"GEMINI_DOCUMENT","familyName":["Aalto"," Aalto"],"fullName":["Aalto, R.","Rolf Aalto"],"funder":["Natural Environment Research Council"],"givenName":["Rolf"],"grant":["NE/T007478/1"],"identifier":"d589f56c-ec0a-4340-9718-f594b032a10d","incomingCitationCount":0,"keyword":["Hydrology","Environmental survey","Mapping","bathymetry","river bed"],"keywordsOther":["bathymetry","river bed"],"keywordsTheme":["Hydrology","Environmental survey","Mapping"],"licence":"Open government licence","lineage":"Data were collected by Ruraltech LTD, a Brazilian company, in October 2022. \nThese were processed and cleaned, and assembled into the located GeoTiff.","locations":["POLYGON((-65.029 -3.17, -65.029 -3.021, -64.82 -3.021, -64.82 -3.17, -65.029 -3.17))"],"metadataDate":"2026-07-25T14:20:00.000Z","organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d589f56c-ec0a-4340-9718-f594b032a10d","10.5285/d589f56c-ec0a-4340-9718-f594b032a10d","doi:10.5285/d589f56c-ec0a-4340-9718-f594b032a10d"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This GeoTiff presents the results of multi-beam sonar scans of the bed of the Solimoes River (upper Amazon) collected in early October 2022 upstream of Tefe, Brazil. These scans were collected as part of our study of the characteristics of the river banks and bed, an…","state":"published","supplementalDescription":["Brückner, M. Z., Aalto, R. E., Best, J., de Almeida, R. P., Nicholas, A. P., Ashworth, P. J., & Ianniruberto, M. (2024). Bank strength variability and its impact on the system-scale morphodynamics of the upper Amazon River in Brazil. Geology, 52(7), 533-538."],"title":"Elevation-coloured relief map of multibeam echosounder (MBES) scans from the bed of the Solimoes River near Tefe, Brazil, 2022","topic":["0/Hydrology/","0/Environmental survey/","0/Mapping/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Food and Agriculture Organization of the United Nations. Regional Office for Latin America and the Caribbean.","University of Aberdeen","Universidad de Concepción","Complutense University of Madrid","Universidade Estadual Paulista (UNESP)","Universidad Austral de Chile","Universidad Nacional del Comahue","CONICET","Servicio Agrícola y Ganadero"],"authorFamilyName":["Erazo","García Díaz","Langdon","Mustin","Cava","Damasceno","Huerta","Linardaki","Moyano","Montti","Powell","‍Bodey","Burslem","Fasola","Fidelis","Lambin","‍Marinaro","Pauchard","Phimister","Raffo","Rodríguez-Jorquera","Roesler","Tomasevic","Pizarro"],"authorFullName":["Erazo, M.","García Díaz, P.","Langdon, B.","Mustin, K.","Cava, M.","Damasceno, G.","Huerta, M.F.","Linardaki, E.","Moyano, J.","Montti, L.","Powell, P.A.","‍Bodey, T.W.","Burslem, D.F.R.P.","Fasola, L.","Fidelis, A.","Lambin, X.","‍Marinaro, S.","Pauchard, A.","Phimister, E.","Raffo, E.","Rodríguez-Jorquera, I.","Roesler, I.","Tomasevic, J.A.","Pizarro, J.C."],"authorGivenName":["M.","P.","B.","Karen","G.","M.F.","E.","J.","L. ","P.A.","T.W.","D.F.R.P.","L.","A.","X.","S.","I.","J.A. ","J.C."],"authorOrcid":["0000-0001-5402-0611","0000-0001-8397-1774","0000-0002-2828-2316","0000-0002-6630-5347","0000-0001-5103-484X","0000-0002-7072-0527","0000-0003-0301-016X","0000-0003-3911-0912","0000-0002-5334-9615","0000-0001-6033-0990","0000-0001-9545-2285","0000-0003-4643-2653","0000-0001-5512-7832","0000-0003-1284-3163","0000-0002-6483-0113","0000-0001-9218-0632","0000-0001-8854-8422","0000-0002-5240-2816"],"authorRor":["https://ror.org/00pe0tf51","https://ror.org/016476m91","https://ror.org/0460jpj73","https://ror.org/02p0gd045","https://ror.org/00987cb86","https://ror.org/029ycp228","https://ror.org/02zvkba47","https://ror.org/03cqe8w59"],"availability":"Available","catalogue":"eidc","dataFormat":["Portable Document Format (PDF)","Comma-separated values (CSV)"],"description":"Data package containing information and the results of our expert-based stakeholder mapping exercise for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021. These six case studies included invasive grasses (Urochloa spp.) in Brazil, glossy privet (Ligustrum lucidum) in Argentina, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Argentina, American mink (Neogale vison) in Argentina and Chile, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Chile, and German yellow-jacket (Vespula germanica) in Chile.\n\nThe datasets included are: (i) a list of all the stakeholders identified, their characteristics, interest in invasive non-native species (INNS) and their management, and the positive and negative ecological, economic, and social impacts of INNS experienced by the stakeholders; (ii) an example of a stakeholder spreadsheet used to collect information during our activities; (iii) a list of consensus strategies for engaging stakeholders identified by the participants; and (iv) two examples of stakeholder engagement strategies. ","documentType":"GEMINI_DOCUMENT","familyName":["Erazo","García Díaz","Langdon","Mustin","Cava","Damasceno","Huerta","Linardaki","Moyano","Montti","Powell","‍Bodey","Burslem","Fasola","Fidelis","Lambin","‍Marinaro","Pauchard","Phimister","Raffo","Rodríguez-Jorquera","Roesler","Tomasevic","Pizarro"],"fullName":["Erazo, M.","García Díaz, P.","Langdon, B.","Mustin, K.","Cava, M.","Damasceno, G.","Huerta, M.F.","Linardaki, E.","Moyano, J.","Montti, L.","Powell, P.A.","‍Bodey, T.W.","Burslem, D.F.R.P.","Fasola, L.","Fidelis, A.","Lambin, X.","‍Marinaro, S.","Pauchard, A.","Phimister, E.","Raffo, E.","Rodríguez-Jorquera, I.","Roesler, I.","Tomasevic, J.A.","Pizarro, J.C."],"funder":["Natural Environment Research Council","Argentine National Scientific & Technical Research Council (CONICET)","São Paulo Research Foundation","Chilean National Commission for Scientific & Technological Research (CONICYT)","UK Global Centre on Biodiversity for Climate (GCBC)"],"givenName":["M.","P.","B.","Karen","G.","M.F.","E.","J.","L. ","P.A.","T.W.","D.F.R.P.","L.","A.","X.","S.","I.","J.A. ","J.C."],"grant":["NE/S011641/1","2019-74-APN-DIR#CONICET","FAPESP 2018/14995-8","2022GCBCCONTAIN"],"identifier":"450fd469-5cd7-4c8f-b113-ba469c358caf","incomingCitationCount":0,"keyword":["South America","alien species","engagement strategy","invasive alien species","participatory stakeholder mapping","stakeholder engagement","Urochloa spp.","Ligustrum lucidum","Pinus contorta","Pinus radiata","Neogale vison","Vespula germanica"],"keywordsOther":["alien species","engagement strategy","invasive alien species","participatory stakeholder mapping","stakeholder engagement","Urochloa spp.","Ligustrum lucidum","Pinus contorta","Pinus radiata","Neogale vison","Vespula germanica"],"keywordsPlace":["South America"],"licence":"Open government licence","lineage":"Nineteen experts working on six case studies received individual stakeholder spreadsheets based on the file \"INNS-ExampleStakeholderSpreadsheet.csv\", and were instructed to complete them independently following the guidance provided in the file \"INNSStakeholderMapping-Instructions&Guidelines.docx\".\n\nAfter two facilitated virtual workshops to discuss and revise the results (2021), coupled with two rounds of updating the individual stakeholder spreadsheets following the discussions and workshops, we produced consensus stakeholder spreadsheets for each of our six case studies, and classified each stakeholder into four categories based on their level of influence and level of interest: \"context settlers\", \"crowd\", \"key players\", and \"subjects\". The final, agreed consensus stakeholder spreadsheet can be found in the file \"INNS-StakeholderDatasetComplete.csv\". \n\nBased on these consensus stakeholder spreadsheets, the experts developed stakeholder engagement strategies tailored to each of those four types of stakeholder following the example provided in the file \"Example-EngagementStrategies.pdf\". \nThe final, agreed lists of stakeholder engagement strategies can be found in the file \"Consensus-EngagementStrategies.csv\". \n\nAll data have been anonymised to preserve stakeholder privacy and for the purposes of data sharing. All data were curated and double-checked again April-May 2023. ","locations":["POLYGON((-75.256 -56.072, -75.256 5.266, -34.124 5.266, -34.124 -56.072, -75.256 -56.072))"],"metadataDate":"2026-07-24T21:16:21.000Z","orcid":["0000-0001-5402-0611","0000-0001-8397-1774","0000-0002-2828-2316","0000-0002-6630-5347","0000-0001-5103-484X","0000-0002-7072-0527","0000-0003-0301-016X","0000-0003-3911-0912","0000-0002-5334-9615","0000-0001-6033-0990","0000-0001-9545-2285","0000-0003-4643-2653","0000-0001-5512-7832","0000-0003-1284-3163","0000-0002-6483-0113","0000-0001-9218-0632","0000-0001-8854-8422","0000-0002-5240-2816"],"organisation":["Food and Agriculture Organization of the United Nations. Regional Office for Latin America and the Caribbean.","University of Aberdeen","Universidad de Concepción","Complutense University of Madrid","Universidade Estadual Paulista (UNESP)","Universidad Austral de Chile","Universidad Nacional del Comahue","CONICET","Servicio Agrícola y Ganadero","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/450fd469-5cd7-4c8f-b113-ba469c358caf","10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf","doi:10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/00pe0tf51","https://ror.org/016476m91","https://ror.org/0460jpj73","https://ror.org/02p0gd045","https://ror.org/00987cb86","https://ror.org/029ycp228","https://ror.org/02zvkba47","https://ror.org/03cqe8w59","https://ror.org/04xw4m193"],"shortenedDescription":"Data package containing information and the results of our expert-based stakeholder mapping exercise for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021. These six case studies included invasive grasses (Urochloa spp.) in Brazil, glossy…","state":"published","title":"Expert-based stakeholder mapping and engagement strategies for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Bristol","University of Cambridge"],"authorFamilyName":["Jackson","Coomes"],"authorFullName":["Jackson, T.","Coomes, D."],"authorGivenName":["Toby","David"],"authorRor":["https://ror.org/0524sp257","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains raster layers at 1-m resolution representing the canopy height model (CHM) and digital terrain model (DTM) of the Sabah Biodiversity Experiment (SBE), Sabah, Malaysia. CHM and DTM were created from airborne LiDAR point cloud data collected at SBE in 2020. The data were collected to assess the effectiveness of different restoration interventions for speeding up the recovery of logged tropical forests in SE Asia.","documentType":"GEMINI_DOCUMENT","familyName":["Jackson","Coomes"],"fullName":["Jackson, T.","Coomes, D.","Toby Jackson"],"funder":["Natural Environment Research Council"],"givenName":["Toby","David"],"grant":["NE/S01537X/1"],"identifier":"c9e70f3f-0c81-4388-8146-019f7b7b6d36","incomingCitationCount":0,"keyword":["Biodiversity","Climate and climate change","forest ecology","biodiversity","remote sensing"],"keywordsOther":["forest ecology","biodiversity","remote sensing"],"keywordsTheme":["Biodiversity","Climate and climate change"],"licence":"Open government licence","lineage":"CHM and DTM (1-m resolution rasters) were created from the LiDAR point cloud data using the processing pipeline described by Fischer et al. (2024, https://doi.org/10.1111/2041-210X.14416). This processing pipeline first uses the lasground_new algorithm implemented in LasTools to classify ground returns and create the DTM, after which a spike-free algorithm is used to generate the CHM. The pipeline was comprehensively tested against alternative processing routines using a benchmark LiDAR dataset acquired in Australia.","locations":["POLYGON((117.549 4.991, 117.549 5.153, 117.767 5.153, 117.767 4.991, 117.549 4.991))"],"metadataDate":"2026-07-25T14:04:01.000Z","organisation":["University of Bristol","University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c9e70f3f-0c81-4388-8146-019f7b7b6d36","10.5285/c9e70f3f-0c81-4388-8146-019f7b7b6d36","doi:10.5285/c9e70f3f-0c81-4388-8146-019f7b7b6d36"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains raster layers at 1-m resolution representing the canopy height model (CHM) and digital terrain model (DTM) of the Sabah Biodiversity Experiment (SBE), Sabah, Malaysia. CHM and DTM were created from airborne LiDAR point cloud data collected at SBE…","state":"published","supplementalDescription":["Fischer, F. J., Jackson, T., Vincent, G., & Jucker, T. (2024). Robust characterisation of forest structure from airborne laser scanning-A systematic assessment and sample workflow for ecologists. Methods in Ecology and Evolution, 15, 1873-1888."],"title":"LiDAR-derived canopy height model and digital terrain model of Sabah Biodiversity Experiment, Malaysia, 2020","topic":["0/Biodiversity/","0/Climate and climate change/"],"version":1.0,"view":["public","elsdhi"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/documents"}