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Stirling"],"authorFamilyName":["Parker","Chomel","Clemmensen","Friggens","Hartley","Johnson","Krab","Lindahl","Street","Subke","Wookey"],"authorFullName":["Parker, T.C.","Chomel, M.","Clemmensen, K.E.","Friggens, N.L.","Hartley, I.P.","Johnson, D.","Krab, E.J.","Lindahl, B.D.","Street, L.E.","Subke, J.A.","Wookey, P.A."],"authorGivenName":["T.C.","M.","K.E.","N.L.","I.P.","D.","E.J.","B.D.","L.E.","J.A.","P.A."],"authorOrcid":["0000-0002-3648-5316","0000-0001-5110-2355","0000-0002-9627-6428","0000-0002-5536-6312","0000-0002-9183-6617","0000-0003-2299-2525","0000-0001-8262-0198","0000-0002-3384-4547","0000-0001-9570-7479","0000-0001-9244-639X","0000-0001-5957-6424"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise numbers of soil microarthorpods (mesofauna) extracted over 10 days from soils in northern, subarctic Sweden sampled on 29th July 2019. Soils were sampled from treeline mountain birch forest and stands of tundra willow that were wither 'girdled' (connection between leaves and roots cut by disrupting the phloem transport) or ‘control’ (no treatment), two years prior. ","documentType":"GEMINI_DOCUMENT","familyName":["Parker","Chomel","Clemmensen","Friggens","Hartley","Johnson","Krab","Lindahl","Street","Subke","Wookey"],"fullName":["Parker, T.C.","Chomel, M.","Clemmensen, K.E.","Friggens, N.L.","Hartley, I.P.","Johnson, D.","Krab, E.J.","Lindahl, B.D.","Street, L.E.","Subke, J.A.","Wookey, P.A.","Parker, T."],"funder":["Natural Environment Research Council"],"givenName":["T.C.","M.","K.E.","N.L.","I.P.","D.","E.J.","B.D.","L.E.","J.A.","P.A.","Thomas"],"grant":["NE/P002722/2"],"identifier":"d3c98f24-7a4d-40b8-989a-6cc340e91cac","incomingCitationCount":0,"keyword":["Soil","Subarctic","Collembola","Girdling","Foodwebs","mite","tundra","soil biology"],"keywordsOther":["Subarctic","Collembola","Girdling","Foodwebs","mite","tundra","soil biology"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soils were sampled across all plots for microarthropods (Collembola and mites) on July 29th 2019. Within each plot, three 4.5 cm diameter soil cores were taken to the depth of the soil horizon (until rock or last clasts) within the central 3 x 3 m area of the birch plots, and across the willow plots. The mineral horizon of each soil core was removed and discarded, while the litter horizon was retained and pooled separately for each plot. Cores were inserted into tight fitting plastic rings to maintain soil structure for optimal extraction efficiency. The soil and litter samples were extracted for soil fauna using a Tullgren Funnel fauna extractor. 22 pooled soil and 22 pooled litter samples were placed at random under individual heat lamps (in order to avoid spatial biases in extraction efficiency) and left for 10 days to extract fauna into ethanol. At the end of the extraction the soil and litter samples were oven dried for 24 hours at 70 °C and weighed to determine soil dry weights. The fauna samples were preserved in 70 % ethanol prior to identification and quantification. Extracted fauna were counted and identified under a dissecting microscope to species level for Collembola using the key of Hopkin (2007) and to order level for Acari (Oribatid, Mesostigmatid, Prostigmatid). Other invertebrates were separated at higher taxonomic levels (e.g. Diptera, Coleoptera, Araneae etc.).","locations":["POLYGON((8.789 54.162, 8.789 69.9, 24.961 69.9, 24.961 54.162, 8.789 54.162))"],"metadataDate":"2026-07-25T14:18:59.000Z","orcid":["0000-0002-3648-5316","0000-0001-5110-2355","0000-0002-9627-6428","0000-0002-5536-6312","0000-0002-9183-6617","0000-0003-2299-2525","0000-0001-8262-0198","0000-0002-3384-4547","0000-0001-9570-7479","0000-0001-9244-639X","0000-0001-5957-6424"],"organisation":["The James Hutton Institute","The University of Manchester","Swedish University of Agricultural Sciences","University of Exeter","University of Edinburgh","University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d3c98f24-7a4d-40b8-989a-6cc340e91cac","10.5285/d3c98f24-7a4d-40b8-989a-6cc340e91cac","doi:10.5285/d3c98f24-7a4d-40b8-989a-6cc340e91cac"],"resourceType":"Dataset","rightsHolder":["The James Hutton Institute"],"ror":["https://ror.org/04xw4m193","https://ror.org/03rzp5127"],"shortenedDescription":"Data comprise numbers of soil microarthorpods (mesofauna) extracted over 10 days from soils in northern, subarctic Sweden sampled on 29th July 2019. Soils were sampled from treeline mountain birch forest and stands of tundra willow that were wither 'girdled' (connection…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Soil fauna abundance under birch and willow vegetation in girdled and non-girdled plots, subarctic Sweden, 2019","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of York"],"authorFamilyName":["Stockdale","Ineson"],"authorFullName":["Stockdale, J.E.","Ineson, P."],"authorGivenName":["J. E.","P."],"authorRor":["https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains instantaneous fluxes of carbon dioxide, methane and nitrous oxide from intact lysimeters in agricultural grasslands in the Hampshire Avon catchment (UK). Manipulations of soil temperature, soil water saturation, additions of nitrogen, phosphorus and of nitrogen and phosphorus were made at three orthogonal experiments in three sub-catchments of contrasting geology (chalk, clay and greensand). Fluxes of carbon dioxide were directly measured continuously during 2014 and 2015 using automated chamber approach, and fluxes of methane and nitrous oxide were measured in 'campaign' mode. Flux measurements consisted of chamber closure for 180 seconds, except when in 'campaign' mode when measurement periods were extended to 300 seconds.","documentType":"GEMINI_DOCUMENT","familyName":["Stockdale","Ineson"],"fullName":["Stockdale, J.E.","Ineson, P.","Stockdale, J."],"givenName":["J. E.","P.","James"],"identifier":"8031c2c1-7032-4958-b314-7664d747b988","incomingCitationCount":0,"keyword":["Hampshire Avon","England","United Kingdom","flux","Nitrous oxide","Nutrient addition","flooding","river","climate change","nitrogen cycle","carbon cycle","methane","carbon dioxide","greenhouse gas","nitrogen oxides"],"keywordsOther":["flux","Nitrous oxide","Nutrient addition","flooding","river","climate change","nitrogen cycle","carbon cycle","methane","carbon dioxide","greenhouse gas","nitrogen oxides"],"keywordsPlace":["Hampshire Avon","England","United Kingdom"],"licence":"Open government licence","lineage":"All data were generated by the authors. Prior to field deployment, all gas analysers were checked to ensure accuracy (using certified reference gases) and precision (repeated measures) were within accepted tolerance limits. Post hoc analysis of measured concentration of data was subject to a vigorous quality checking procedure, removing data when gas analysers produced unreliable data or failed. Flux calculation also included quality checking to ensure that appropriate linear or exponential curves were fitted, and data was discarded if a poor fit (low R2) was achieved. ","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-09-15T08:40:39.000Z","organisation":["University of York","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8031c2c1-7032-4958-b314-7664d747b988","10.5285/8031c2c1-7032-4958-b314-7664d747b988","doi:10.5285/8031c2c1-7032-4958-b314-7664d747b988"],"resourceType":"Dataset","ror":["https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains instantaneous fluxes of carbon dioxide, methane and nitrous oxide from intact lysimeters in agricultural grasslands in the Hampshire Avon catchment (UK). Manipulations of soil temperature, soil water saturation, additions of nitrogen, phosphorus…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"Hampshire Avon: trace gas fluxes from experimentally manipulated plots in three sub-catchments","version":1.0,"view":["public","kath"]},{"authorAffiliation":["Evidence for Development (EfD)"],"authorFamilyName":["Petty","Acidri","Ngoleka"],"authorFullName":["Petty, C.","Acidri, J.","Ngoleka, S."],"authorGivenName":["C.","J.","S."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset is a product of the raw HEA (household economy approach) data that were collected in sixteen communities in the Katakwi district, and the raw IHM (individual household method) data that was collected with 42 households in the community of Anyangabella, and 51 households in the community of Kaikamosing. These data were collected in December 2020 and shows the crop calendars of the Katakwi district. These data consist of quantitative information relating to crop and fishing production timelines throughout a typical agricultural year. The data were collected to support the analysis of vulnerability levels of different to further support livelihood impact modelling, and the development of targeted policies to support resilience at household and community level. The data collection team comprised of  local, Ugandan partners. All data were collected in the local language and translated into English. ","documentType":"GEMINI_DOCUMENT","familyName":["Petty","Acidri","Ngoleka"],"fullName":["Petty, C.","Acidri, J.","Ngoleka, S."],"funder":["Natural Environment Research Council"],"givenName":["C.","J.","S."],"grant":["NE/S00596X/1"],"identifier":"d91bd655-ad51-42c1-a8d0-91923246244b","incomingCitationCount":1,"keyword":["Uganda","Katakwi District","Crop calendar","Livelihoods"],"keywordsOther":["Crop calendar","Livelihoods"],"keywordsPlace":["Uganda","Katakwi District"],"licence":"Open government licence","lineage":"There are many resources available that outline the HEA/IHM methodology that was used. In summary the methodology is as follows: \n\nIn HEA studies the first step is to demarcate rural livelihood zones, based on land use, climate, rainfall, markets and other economic information. In each livelihood zone a ‘reference year’ (a recent year when conditions were neither exceptionally bad nor exceptionally good) is identified in consultation with local key informants, and a sample of locations is purposively selected to represent the range of variation across the zone. At each sample site, initial village interviews are conducted with knowledgeable village representatives to establish the characteristics of wealth groups that are recognised there.\nUsing this information, further interviews are conducted with a focus group selected from each wealth group (e.g. ‘very poor’, ‘poor’, ‘middle’, and ‘better-off’) to establish the incomes and expenditures of a ‘typical’ household in that wealth group in the reference year. These interviews are repeated at the selected sample sites across the zone, providing a baseline dataset which is used to simulate the impacts of economic shocks or changes on access to food and basic non-food needs for typical households from each wealth group.\n\nHEA can be supported by the IHM methodology. In summary the methodology is as follows: \n\nThe individual household method differs from most other household budget surveys by collecting data through a semi-structured interview rather than a standard questionnaire format, as well as by using specialised software which allows data checking and analysis to be carried out in the field. These innovations reduce the risk of errors in data collection, and allow any errors that do occur to be identified and corrected early in the process. Rapid analysis can also provide up-to-date information needed by decision makers.\n\nThe first stage of IHM research is the identification of livelihood zones and selection of survey sites within the zone. After sampling decisions have been made and locations have been selected, contextual information on the local economy is collected from focus groups including women and men involved in different economic activities. This provides interviewers with data that can be used to cross-check responses from individual households.\n\nSelected households are then interviewed, following a structure that is designed to include all relevant income sources and related details without unnecessary questions. The interview covers household demography, assets, crop and livestock production, employment (including day labour, petty trade, self-employment and salaried work undertaken by men, women and children in the household), wild foods and non-market transfers. Other personal or household characteristics relevant to the study (for example, the gender of the household head or the educational level of each member of the household) are also recorded during the interview.\n\nOn the day of collection, interview data is entered into open-IHM software and checked for internal consistency, biological adequacy and disparities with observed living conditions. If anomalies are found or if any further information is needed the household is revisited, and where necessary datasets are amended.","locations":["POLYGON((33.755 1.557, 33.755 2.37, 34.271 2.37, 34.271 1.557, 33.755 1.557))"],"metadataDate":"2026-09-15T08:38:14.000Z","organisation":["Evidence for Development (EfD)","NERC Environmental Information Data Centre","Walker Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-04-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d91bd655-ad51-42c1-a8d0-91923246244b","10.5285/d91bd655-ad51-42c1-a8d0-91923246244b","doi:10.5285/d91bd655-ad51-42c1-a8d0-91923246244b"],"resourceType":"Dataset","rightsHolder":["Walker Institute"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a product of the raw HEA (household economy approach) data that were collected in sixteen communities in the Katakwi district, and the raw IHM (individual household method) data that was collected with 42 households in the community of Anyangabella,…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Annual timings for crop, livestock and fishing livelihoods from communities in the Katakwi District, Uganda, 2020","version":1.0,"view":["public","jualob"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Stephens","Iwanicka","Tang"],"authorFullName":["Stephens, A.","Iwanicka, A.","Tang, S."],"authorGivenName":["A.","S."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise monthly ammonia air concentrations from UK CEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites. The UK Eutrophying and Acidifying atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites across the UK. The UK CEH ALPHA® sampler is a passive sampler for measuring NH3 in air. Originally the purpose of these measurements was for a calibrated ALPHA® uptake rate for the UK CEH Edinburgh research laboratory.\n\nLocal site operator duties are completed by UK CEH staff and AFBI staff (at Hillsborough) and analysis is completed by UK Centre for Ecology and Hydrology Edinburgh.\n\nThe sites were set up on 1st March 2020 and measurements are ongoing.","documentType":"GEMINI_DOCUMENT","familyName":["Stephens","Iwanicka","Tang"],"fullName":["Stephens, A.","Iwanicka, A.","Tang, S."],"givenName":["A.","S.","Amy"],"identifier":"1766eb32-1878-47e6-8dc8-d434957d1e32","incomingCitationCount":0,"keyword":["uptake rate","ALPHA®","air quality","ammonia"],"keywordsOther":["uptake rate","ALPHA®","air quality","ammonia"],"licence":"Open government licence","lineage":"Samplers were prepared/ analysed by UK CEH Edinburgh and the samplers exposed by local site operators. Data processing was performed using the UK CEH AAGA data handling tool.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:12:09.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1766eb32-1878-47e6-8dc8-d434957d1e32","10.5285/1766eb32-1878-47e6-8dc8-d434957d1e32","doi:10.5285/1766eb32-1878-47e6-8dc8-d434957d1e32"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise monthly ammonia air concentrations from UK CEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites. The UK Eutrophying and Acidifying atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites…","state":"published","supplementalDescription":["United Kingdom Eutrophying & Acidifying Network (UKEAP)"],"temporalExtentText":"Data collected from 2020 to 2020","title":"Ammonia measurements from passive samplers at four UK Eutrophying and Acidifying Pollutants (UKEAP) network sites, 2020","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Université d’Orléans","University of Leeds","University of Bristol"],"authorFamilyName":["Baude","Kunin","Davies","Wright","Memmott"],"authorFullName":["Baude, M.","Kunin, W.","Davies, N.","Wright, E.","Memmott, J."],"authorGivenName":["M.","W.","N.","E.","J."],"authorOrcid":["0000-0002-8475-9852","0000-0002-9812-2326","0000-0001-7725-4728","0000-0002-2113-2577"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset provides pollen production values for 168 common plant species found in the UK. The dataset consists of pollen volume per flower, calculated from pollen grain number and pollen grain size. Pollen data can be useful in identifying the high pollen producing species for pollinator conservation and it can be combined with floral surveys to estimate the pollen production of plant communities. ","documentType":"GEMINI_DOCUMENT","familyName":["Baude","Kunin","Davies","Wright","Memmott"],"fullName":["Baude, M.","Kunin, W.","Davies, N.","Wright, E.","Memmott, J."],"funder":["Natural Environment Research Council"],"givenName":["M.","W.","N.","E.","J."],"grant":[" NE/L002434/1"],"identifier":"0b454d53-dfe7-48fd-9e18-b683d004b159","incomingCitationCount":0,"keyword":["UK","Biodiversity","British plants","Wild flowers","Floral resources","Pollinators","Nectar","pollen","flower"],"keywordsOther":["British plants","Wild flowers","Floral resources","Pollinators","Nectar","pollen","flower"],"keywordsPlace":["UK"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Fieldwork: collection of stems with flower buds for 174 taxa (from 2 populations per species when possible)\nLabwork steps:\n-Extracting the pollen from newly opened anthers for 168 taxa\n-Counting pollen grains under microscope (modified Fuchs-Rosenthal counting chamber) to estimate the mean number of pollen grains per stamen for each species.\n-Measuring pollen grain axes for calculating the mean volume of the one pollen grain for each species (in µm3).\n-Estimating the pollen volume per stamen and then the pollen volume per flower after recording the number of stamens per flower for each species (in µm3)\n\nQuality control: from each tube, pollen counting was repeated twice in order to provide two replicates per sample. Plant species taxonomy was standardised through the ‘rgbif’ package according to the GBIF Backbone Taxonomy reference.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:59:26.000Z","orcid":["0000-0002-8475-9852","0000-0002-9812-2326","0000-0001-7725-4728","0000-0002-2113-2577"],"organisation":["Université d’Orléans","University of Leeds","University of Bristol","Université d’Orléans, Orléans, France","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0b454d53-dfe7-48fd-9e18-b683d004b159","10.5285/0b454d53-dfe7-48fd-9e18-b683d004b159","doi:10.5285/0b454d53-dfe7-48fd-9e18-b683d004b159"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/024mrxd33","https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides pollen production values for 168 common plant species found in the UK. The dataset consists of pollen volume per flower, calculated from pollen grain number and pollen grain size. Pollen data can be useful in identifying the high pollen producing…","state":"published","title":"Pollen production values of common British plant species","topic":["0/Biodiversity/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Cambridge","University of Exeter"],"authorFamilyName":["Jackson","Bittencourt","Coomes"],"authorFullName":["Jackson, T.D.","Bittencourt, P.","Coomes, D.A."],"authorGivenName":["T.D. ","P.","D.A. "],"authorOrcid":["0000-0001-8143-6161","0000-0002-1618-9077","0000-0002-8261-2582"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.\n\nThis data was collected for the purpose of estimating the risk of wind damage to these trees. It could also be used to estimate the fundamental sway frequencies of the trees, and how they change over time, which varies with leaf phenology and tree water content. There are lots of short data gaps due to transmission issues in the forest.","documentType":"GEMINI_DOCUMENT","familyName":["Jackson","Bittencourt","Coomes"],"fullName":["Jackson, T.D.","Bittencourt, P.","Coomes, D.A.","Jackson, T."],"funder":["Natural Environment Research Council"],"givenName":["T.D. ","P.","D.A. ","Toby"],"grant":["NE/S010750/1"],"identifier":"f03806fa-3596-4119-90c5-70254f39cfc0","incomingCitationCount":0,"keyword":["Panama","Barro Colorado Island","Hydrology","Bending strain","Tree mortality","ecology","forest","wind","tree","risk"],"keywordsOther":["Bending strain","Tree mortality","ecology","forest","wind","tree","risk"],"keywordsPlace":["Panama","Barro Colorado Island"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Bending strain sensors were designed and installed on the trees in Barro Colorado Island, Panama. These sensors recorded the bending strain (in mV) at 4 Hz resolution and transmitted it (in binary format) to a data logger where it was saved on an SD. \nThe data was collected from the SD cards and converted from binary format to csv files. The mV measurements were converted to bending strain by multiplying by a fixed calibration coefficient. This 4 Hz bending strain data is provided here. ","locations":["POLYGON((-79.876 9.133, -79.876 9.18, -79.819 9.18, -79.819 9.133, -79.876 9.133))"],"metadataDate":"2026-09-15T08:45:06.000Z","orcid":["0000-0001-8143-6161","0000-0002-1618-9077","0000-0002-8261-2582"],"organisation":["University of Cambridge","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f03806fa-3596-4119-90c5-70254f39cfc0","10.5285/f03806fa-3596-4119-90c5-70254f39cfc0","doi:10.5285/f03806fa-3596-4119-90c5-70254f39cfc0"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193","https://ror.org/013meh722"],"shortenedDescription":"This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.\n\nThis data was collected for the purpose…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Holden","Grayson","Hunt"],"authorFullName":["Holden, J.","Grayson, R.","Hunt, S.F.P."],"authorGivenName":["J.","R.","S.F.P."],"authorOrcid":["0000-0002-1108-4831","0000-0003-3637-3987"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Saturated hydraulic conductivity, bulk density and soil organic carbon content were determined on soil samples extracted from the upper 50 cm of the soil profile for three paired upland woodland and grassland sites in northern England. The site pairs consisted of new deciduous plantation (less than five years old) and pasture, Fifteen year old deciduous plantation and pasture, and finally a site with mature deciduous woodland and pasture. Comparisons were made between woodland and pasture soil properties.\n\nThe work was supported by the Natural Environment Research Council Grant NE/R004595/1: Optimising Natural Flood risk Management (NFM) in headwater catchments to protect downstream communities.","documentType":"GEMINI_DOCUMENT","familyName":["Holden","Grayson","Hunt"],"fullName":["Holden, J.","Grayson, R.","Hunt, S.F.P."],"funder":["Natural Environment Research Council"],"givenName":["J.","R.","S.F.P."],"grant":["NE/R004595/1"],"identifier":"03bbb1a9-703b-484b-aa16-5924c11e1f2d","incomingCitationCount":0,"keyword":["hydraulic conductivity","soil organic carbon","woodland","grassland","bulk density","permeability","organic carbon","soil"],"keywordsOther":["hydraulic conductivity","soil organic carbon","woodland","grassland","bulk density","permeability","organic carbon","soil"],"licence":"Open government licence","lineage":"Soil bulk density rings, 5.3 cm in diameter were used to collect 5 cm long samples from each sample point. The samples were collected at the same point for depths of 2.5-7.5 cm, 12.5-17.5 cm, 22.5-27.5 cm, 32.5-37.5 cm, 42.5-47.5 cm, if the soil was deep enough. The samples were then brought to the laboratory and processed, while remaining in the same rings, on an Eijkelkamp 25 place permeameter to determine saturated hydraulic conductivity (reported in metres per day). Following these permeability measurements, the bulk density of the samples (grams per cubic centimetre) was determined through gravimetric assessment using oven drying at 105 deg C for 24 hours. For the upper two soil depths at each sampling point, soil organic carbon content was determined (reported as percentage of the total dry soil mass) via loss on ignition at 450 deg C for 5 hours. ","locations":["POLYGON((-2.204 53.631, -2.204 53.79, -1.781 53.79, -1.781 53.631, -2.204 53.631))"],"metadataDate":"2026-07-24T18:54:00.000Z","orcid":["0000-0002-1108-4831","0000-0003-3637-3987"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/03bbb1a9-703b-484b-aa16-5924c11e1f2d","10.5285/03bbb1a9-703b-484b-aa16-5924c11e1f2d","doi:10.5285/03bbb1a9-703b-484b-aa16-5924c11e1f2d"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"Saturated hydraulic conductivity, bulk density and soil organic carbon content were determined on soil samples extracted from the upper 50 cm of the soil profile for three paired upland woodland and grassland sites in northern England. The site pairs consisted of new…","state":"published","temporalExtentText":"Data collected from 2019 to 2021","title":"Saturated hydraulic conductivity, bulk density and soil organic carbon content from three paired upland woodland and grassland sites in northern England, July 2019-April 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Pescott"],"authorFullName":["Pescott, O.L."],"authorGivenName":["O.L."],"authorOrcid":["0000-0002-0685-8046"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Plant occupancy data from a survey of a disturbed urban habitat. The survey is an occupancy study of the vascular plants of 16 500 x 500 m (0.25 km2) urban grid cells, stratified by quadrant at the scale of the focal city (Sheffield, England) in order to provide more even coverage. Few systematic, randomised surveys at fine spatial grain exist for urban habitats, and even fewer of these surveys are in the public domain. This study was designed as a systematic florula (i.e. a small flora) of a relatively discrete urban habitat in order to provide a baseline that would enable robust insights into future environmental change. In addition, the dataset is likely to be useful for comparative studies of plant traits, particularly those of highly disturbed habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Pescott"],"fullName":["Pescott, O.L.","Pescott, O."],"givenName":["O.L.","Oliver"],"identifier":"705d6e39-9b04-497d-b8e8-4f617f3a6477","incomingCitationCount":0,"keyword":["Sheffield","urban","quadrats","pavement"],"keywordsOther":["urban","quadrats","pavement"],"keywordsPlace":["Sheffield"],"licence":"Open government licence","lineage":"All plants identified in this study were identified by the author. Plant specimens which could not be named in the field were keyed using the current standard Flora for Britain and Ireland (Stace 2010) or a vegetative key (Poland and Clement 2009). In a very small number of cases where the available material was not sufficient for certain identification, specimens were recorded to genus level.","locations":["POLYGON((-1.544 53.32, -1.544 53.437, -1.339 53.437, -1.339 53.32, -1.544 53.32))"],"metadataDate":"2026-09-15T08:45:17.000Z","orcid":["0000-0002-0685-8046"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-09-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/705d6e39-9b04-497d-b8e8-4f617f3a6477","10.5285/705d6e39-9b04-497d-b8e8-4f617f3a6477","doi:10.5285/705d6e39-9b04-497d-b8e8-4f617f3a6477"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Plant occupancy data from a survey of a disturbed urban habitat. The survey is an occupancy study of the vascular plants of 16 500 x 500 m (0.25 km2) urban grid cells, stratified by quadrant at the scale of the focal city (Sheffield, England) in order to provide more…","state":"published","supplementalDescription":["Pescott, O. (2016) A systematic florula of a disturbed urban habitat: Pavements of Sheffield, England.\nBiodiversity Data Journal 4: e10658 "],"temporalExtentText":"Data collected from 2012 to 2014","title":"A systematic florula of a disturbed urban habitat, Sheffield, England: Plant occupancy data","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Royal Society for the Protection of Birds (RSPB)"],"authorFamilyName":["Broughton","Bellamy","Hinsley"],"authorFullName":["Broughton, R.K.","Bellamy, P.E.","Hinsley, S.A."],"authorGivenName":["R.K.","P.E.","S.A"],"authorOrcid":["0000-0002-6838-9628"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0138va192"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vegetation surveys from 35 transects in 2005 and 34 transects in 2006, focusing on tree and shrub abundance and sizes, in Monks Wood National Nature Reserve (Cambridgeshire, England). The transects were located in occupied territories of Marsh Tits, and also unoccupied areas of the wood used as controls, in order to sample the birds' habitat. However, the surveys also provide representative and widespread sampling of the overall woodland. The surveys include all woody tree and shrub species, and also standing and fallen deadwood, in different size categories. Fieldwork was undertaken and supervised by the authors and funded by the Natural Environment Research Council's National Capability investment.","documentType":"GEMINI_DOCUMENT","familyName":["Broughton","Bellamy","Hinsley"],"fullName":["Broughton, R.K.","Bellamy, P.E.","Hinsley, S.A."],"givenName":["R.K.","P.E.","S.A"],"identifier":"65edb979-eebd-4331-94f6-52f0844fb3cb","incomingCitationCount":1,"keyword":["Cambridgeshire","Monks Wood","National Nature Reserve","NNR","Environmental survey"],"keywordsPlace":["Cambridgeshire","Monks Wood","National Nature Reserve","NNR"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data were collected in the field on recording sheets, entered into an Excel spreadsheet and checked for quality control. Data were exported as comma separated value (.csv) files and deposited with the EIDC.","locations":["POLYGON((-0.255 52.394, -0.255 52.415, -0.219 52.415, -0.219 52.394, -0.255 52.394))"],"metadataDate":"2026-07-25T06:45:26.000Z","orcid":["0000-0002-6838-9628"],"organisation":["UK Centre for Ecology & Hydrology","Royal Society for the Protection of Birds (RSPB)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-01-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/65edb979-eebd-4331-94f6-52f0844fb3cb","10.5285/65edb979-eebd-4331-94f6-52f0844fb3cb","doi:10.5285/65edb979-eebd-4331-94f6-52f0844fb3cb"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0138va192","https://ror.org/04xw4m193"],"shortenedDescription":"Vegetation surveys from 35 transects in 2005 and 34 transects in 2006, focusing on tree and shrub abundance and sizes, in Monks Wood National Nature Reserve (Cambridgeshire, England). The transects were located in occupied territories of Marsh Tits, and also unoccupied…","state":"published","temporalExtentText":"Data collected from 2005 to 2006","title":"Tree and shrub vegetation surveys in Monks Wood National Nature Reserve, Cambridgeshire, England, 2005-2006","topic":["0/Environmental survey/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","James","Keenan","Mackay","McShane","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","H.T.","M.A.","M.M.","B.A.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534","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 the South Basin of Windermere 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 7m. All data are from January 2019 until the end of 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","James","Keenan","Mackay","McShane","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","James, J.B.","Keenan, P.O.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","H.T.","M.A.","M.M.","B.A.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"79ae89dd-a597-4dc9-9cc9-bb82cbf33559","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.\n","locations":["POLYGON((-3.005 54.264, -3.005 54.388, -2.888 54.388, -2.888 54.264, -3.005 54.264))"],"metadataDate":"2026-07-25T06:55:43.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534","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/79ae89dd-a597-4dc9-9cc9-bb82cbf33559","10.5285/79ae89dd-a597-4dc9-9cc9-bb82cbf33559","doi:10.5285/79ae89dd-a597-4dc9-9cc9-bb82cbf33559"],"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 the South Basin of Windermere in Cumbria, England that began in 1945 for some…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere South Basin, 2019-2020","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University "],"authorFamilyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"authorFullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"authorGivenName":["K.","O.","E.","L.M.","G.","B."],"authorOrcid":["0000-0002-9478-5966","0000-0002-9732-4583","0000-0002-9120-6236","0000-0001-5732-1532","0000-0001-6943-9773","0000-0002-2750-3914"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for the same samples are found in accompanying files. ","documentType":"GEMINI_DOCUMENT","familyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"fullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["K.","O.","E.","L.M.","G.","B."],"identifier":"8d5af777-384c-4114-af6b-69cdac239810","incomingCitationCount":0,"keyword":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"keywordsOther":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"licence":"Open government licence","lineage":"The dataset was generated as a part of the NERC-funded project NE/X012980/1 ‘Determining vitamin D status in precontact Western Alaska: a new method for exploring past health and dietary adaptations to high-latitude living’, as well as from an earlier (internally-allocated) BBSRC-funded pilot study (in the case of some of the isotope data). Vitamin D data were all generated at the University of Aberdeen, and isotope data were generated at SUERC (carbon, nitrogen, sulphur) and Boise State University (oxygen, hydrogen). ","locations":["POLYGON((-161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71))"],"metadataDate":"2026-07-25T08:42:21.000Z","orcid":["0000-0002-9478-5966","0000-0002-9732-4583","0000-0002-9120-6236","0000-0001-5732-1532","0000-0001-6943-9773","0000-0002-2750-3914"],"organisation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8d5af777-384c-4114-af6b-69cdac239810","10.5285/8d5af777-384c-4114-af6b-69cdac239810","doi:10.5285/8d5af777-384c-4114-af6b-69cdac239810"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for…","state":"published","title":"Vitamin D and stable isotope data from human hair from the archaeological site, Nunalleq, Alaska","version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh","Universidad Politécnica de Madrid","Bangor University","University of Montana","Lancaster University"],"authorFamilyName":["Mason","Oakley","Street","Arróniz-Crespo","Jones","DeLuca","Ostle"],"authorFullName":["Mason, K.E.","Oakley, S.","Street, L.E.","Arróniz-Crespo, M.","Jones, D.L.","DeLuca, T.H.","Ostle, N.J."],"authorGivenName":["K.E.","S.","L.E.","M.","D.L.","T.H.","N.J."],"authorOrcid":["0000-0003-3426-3178","0000-0002-5757-7420","0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/03n6nwv02","https://ror.org/006jb1a24","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus, carbon and nitrogen, plant species cover, air temperature, soil temperature, soil moisture and surface leaf moisture. Greenhouse gas measurements were taken in the field. Soil cores were collected, then processed and analysed in the laboratory. Plant species cover was by visual estimate and final plant biomass was collected, dried, and weighed.  Weather stations were used to collect temperature and moisture data.\n\nData were collected from six Swedish boreal forest sites forming a chronosequence ranging in age from approximately 45 to 365 years since last wildfire. This part of the project used soil and plant property data, climatic data, and age since wildfire to investigate controls on forest floor greenhouse gas fluxes. The project ran from 2012 to 2015.","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Oakley","Street","Arróniz-Crespo","Jones","DeLuca","Ostle"],"fullName":["Mason, K.E.","Oakley, S.","Street, L.E.","Arróniz-Crespo, M.","Jones, D.L.","DeLuca, T.H.","Ostle, N.J.","Mason, K."],"givenName":["K.E.","S.","L.E.","M.","D.L.","T.H.","N.J.","Kelly"],"identifier":"f08a5de5-55d4-44de-90e1-94bb4f814054","incomingCitationCount":0,"keyword":["Sweden","Soil","boreal forest","wild fires"],"keywordsOther":["boreal forest","wild fires"],"keywordsPlace":["Sweden"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Field data was collected in June and September 2012, June 2013, and July 2014.  Greenhouse gas fluxes were measured using infrared gas analysers (PP Systems EGM4) for CO2 and manual samples from static chambers for CH4 and N2O, which were analysed on a gas chromatogram (PerkinElmer Autosystem XL).  Data were quality controlled by plotting all data points and removing any points showing signs of the system not being settled or properly sealed.  Calibration standards were used for both systems.  At the time of sampling, measures of air temperature and photosynthetically active radiation were taken using a temperature probe (TinyTag) and PAR Quantum Sensor (Skye Instruments), respectively.\n\nSoil cores were collected either along a transect or from within the gas collars.  Cores were PVC pipes of 5 cm diameter and 10 cm length.  Manual processing (including oven-drying of samples) gave values for soil horizon depths, bulk density, and loss on ignition.  pH was determined by mixing 10 g fresh soil in 25 mL deionized water and measuring using a pH probe (Hanna Instruments).  Total phosphorous was obtained using a digestion method with analysis on a SEAL AutoAnalyser3 (Seal Analytical).  Total C:N was obtained by analysing samples on a Truspec C:N analyser (LECO Corp.).  Instruments were run with calibrated standards.\n\nEstimates of cover by individual plant species were made visually and photos were used for quality control.  Plant material was collected from within the gas collars, dried at 60ºC, and weighed for total biomass.\n\nAir temperature, soil temperature at 1 cm and 5 cm depth, soil moisture, and surface leaf moisture were measured using weather stations (Decagon Devices).  Data was plotted to quality control for errors caused by dead batteries, snow cover, etc.","locations":["POLYGON((17.505 65.416, 17.505 66.108, 19.67 66.108, 19.67 65.416, 17.505 65.416))"],"metadataDate":"2026-09-15T08:42:18.000Z","orcid":["0000-0003-3426-3178","0000-0002-5757-7420","0000-0003-3263-3702"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","Universidad Politécnica de Madrid","Bangor University","University of Montana","Lancaster University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f08a5de5-55d4-44de-90e1-94bb4f814054","10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054","doi:10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/03n6nwv02","https://ror.org/006jb1a24","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus,…","state":"published","temporalExtentText":"Data collected from 2012 to 2014","title":"Boreal forest floor greenhouse gas emissions across a wildfire-disturbed chronosequence","topic":["0/Soil/"],"version":1.0,"view":["public","jgar"]},{"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":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image). The 10 aggregate classes are groupings of the 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH 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.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"1278d7b5-da47-46b5-b1a6-049e726425a7","incomingCitationCount":0,"keyword":["Land cover","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The percentage aggregate class is produced from the 25m raster product (which is derived from the vector product) by:\n1. Using gdal_calc to aggregate the 23 target classes into the 10 aggregate classes saving them as 10 individual images (one for each class) where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2. Gdal_warp is then applied to each of the 10 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3. Gdal_merge is then used to create a single file with 10 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T19:09:04.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1278d7b5-da47-46b5-b1a6-049e726425a7","10.5285/1278d7b5-da47-46b5-b1a6-049e726425a7","doi:10.5285/1278d7b5-da47-46b5-b1a6-049e726425a7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Land Cover Map 1990 (1km percentage aggregate class, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["James Hutton Institute","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Artz","Coyle","Donaldson-Selby","Morrison"],"authorFullName":["Artz, R.R.E.","Coyle, M.","Donaldson-Selby, G.","Morrison, R."],"authorGivenName":["R.R.E.","M.","G.","R."],"authorOrcid":["0000-0002-8462-6558","0000-0002-9440-6524","0000-0001-5859-5236","0000-0002-1847-3127"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This record contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and meteorological observations measured at an eroded upland blanket bog peatland (UK-BAL) in the Eastern Cairngorms in Scotland, UK (56.93° N, -3.16° E, 642 m asl). The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. Time period covered in this dataset is 04/07/2018 until 04/11/2020.","documentType":"GEMINI_DOCUMENT","familyName":["Artz","Coyle","Donaldson-Selby","Morrison"],"fullName":["Artz, R.R.E.","Coyle, M.","Donaldson-Selby, G.","Morrison, R."],"givenName":["R.R.E.","M.","G.","R."],"identifier":"a65f6241-bfc3-430a-ae93-ccb7c63c1a53","incomingCitationCount":0,"keyword":["Peatland","Carbon dioxide flux","Net ecosystem exchange","Sensible heat flux","Latent heat flux","Water table "],"keywordsOther":["Carbon dioxide flux","Net ecosystem exchange","Sensible heat flux","Latent heat flux","Water table "],"keywordsPlace":["Peatland"],"licence":"Open government licence","lineage":"Sensible and latent heat fluxes (LE and H, respectively) and NEE were monitored using an enclosed path EC system. A range of micrometeorological measurements were carried out on the same mast as the EC data collection. Soil physics were measured close to the EC mast (within a radius of 5 m).\nThirty‐minute flux densities of sensible and latent heat (LE and H) and net ecosystem CO2 exchange (NEE) were computed from the raw EC data using EddyPRO® Flux Calculation Software (v 7.0.6; LI‐COR Biosciences, Lincoln, Nebraska). Quality control (QC) procedures were applied to ensure only high-quality turbulent flux data were retained for analysis.","locations":["POLYGON((-3.22 56.877, -3.22 56.952, -3.075 56.952, -3.075 56.877, -3.22 56.877))"],"metadataDate":"2026-07-25T13:18:58.000Z","orcid":["0000-0002-8462-6558","0000-0002-9440-6524","0000-0001-5859-5236","0000-0002-1847-3127"],"organisation":["James Hutton Institute","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","The James Hutton Institute","NatureScot Peatland Action"],"publicationDate":"2021-09-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a65f6241-bfc3-430a-ae93-ccb7c63c1a53","10.5285/a65f6241-bfc3-430a-ae93-ccb7c63c1a53","doi:10.5285/a65f6241-bfc3-430a-ae93-ccb7c63c1a53"],"resourceType":"Dataset","rightsHolder":["The James Hutton Institute","NatureScot Peatland Action"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This record contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and meteorological observations measured at an eroded upland blanket bog peatland (UK-BAL) in the…","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Net ecosystem carbon dioxide (CO2) exchange and meteorological observations from an eroding high altitude blanket bog, Scotland, 2018-2020","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Loughborough University"],"authorFamilyName":["Zhao","Liang"],"authorFullName":["Zhao, J.H.","Liang, Q.H."],"authorGivenName":["J.H.","Q.H."],"authorRor":["https://ror.org/04vg4w365"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The dataset describes the inundation results simulated by high-performance integrated hydrodynamic modelling system (HiPIMS) model for the pluvial flooding and fluvial flooding in Can Tho city Vietnam. Wherein, the pluvial flooding results simulated by HiPIMS are driven by the design rainfall in the 2, 5, 10, 20, 50, and 100 years return period, respectively, and the fluvial flooding results simulated by HiPIMS are driven by the river water level boundary in 2011.","documentType":"GEMINI_DOCUMENT","familyName":["Zhao","Liang"],"fullName":["Zhao, J.H.","Liang, Q.H."],"funder":["Natural Environment Research Council"],"givenName":["J.H.","Q.H."],"grant":["NE/S002871/1","NE/S00288X/1","NE/S002871/2"],"identifier":"585ce4f2-0070-490f-adb2-ed7f1207605b","incomingCitationCount":0,"keyword":["Vietnam","Can Tho","Hydrology","Modelling"],"keywordsPlace":["Vietnam","Can Tho"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"The design rainfalls are generated by the peak-over-threshold method based on the local rainfall data. The fluvial water level boundary is calculated by the MIKE 11[1] provided by the local partner. And flood inundation results are produced by the in-house high-performance integrated hydrodynamic modelling system (HiPIMS) driven by the design rainfalls and the water level boundaries.","locations":["POLYGON((105.737 10.032, 105.737 10.061, 105.764 10.061, 105.764 10.032, 105.737 10.032))"],"metadataDate":"2026-09-15T08:39:13.000Z","organisation":["Loughborough University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/585ce4f2-0070-490f-adb2-ed7f1207605b","10.5285/585ce4f2-0070-490f-adb2-ed7f1207605b","doi:10.5285/585ce4f2-0070-490f-adb2-ed7f1207605b"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset describes the inundation results simulated by high-performance integrated hydrodynamic modelling system (HiPIMS) model for the pluvial flooding and fluvial flooding in Can Tho city Vietnam. Wherein, the pluvial flooding results simulated by HiPIMS are driven…","state":"published","supplementalName":["DHI, D. (2003). MIKE 11: a modelling system for rivers and channels, reference manual. DHI–Water and Development, Horsholm, Denmark."],"title":"Flood modelling simulations for Can Tho city, Vietnam","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Portland State University","University of Nottingham","US Forest Service","Colorado State University"],"authorFamilyName":["Colley","Dugdale","Edwards","Field","Flitcroft","Johnson","Mariani","Means-Brous","Mickelson","Pugh","Schrodt","Thorne"],"authorFullName":["Colley, M.","Dugdale, S.J.","Edwards, P.","Field, R.","Flitcroft, R.","Johnson, M.","Mariani, M.","Means-Brous, M.","Mickelson, E.","Pugh, B.","Schrodt, F.","Thorne, C."],"authorGivenName":["M.","S.J.","P.","R.","E.","B.","F.","C."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Periphyton data consists of diatom scrubs sampled in a range of riffle and pool habitats including diatom taxa counts (identified to genus level) and computed autotrophic index (ratio of the organic mass per cm2 to mass (microgram) of chlorophyll a) as well as site characterisation data.\n\nThe data were collected from the South Fork McKenzie river, Oregon, USA in September of 2021 and February 2022 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in periphyton response to wildfire in the restored vs. unrestored river reaches.\n\nThe study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","familyName":["Colley","Dugdale","Edwards","Field","Flitcroft","Johnson","Mariani","Means-Brous","Mickelson","Pugh","Schrodt","Thorne"],"fullName":["Colley, M.","Dugdale, S.J.","Edwards, P.","Field, R.","Flitcroft, R.","Johnson, M.","Mariani, M.","Means-Brous, M.","Mickelson, E.","Pugh, B.","Schrodt, F.","Thorne, C."],"funder":["Natural Environment Research Council"],"givenName":["M.","S.J.","P.","R.","E.","B.","F.","C."],"identifier":"6b7337fa-037b-4c03-a8be-fd4c5722fe1a","incomingCitationCount":0,"keyword":["South fork mckenzie","stage zero","River","Wildfire","fire","restoration","periphyton","diatom"],"keywordsOther":["South fork mckenzie","stage zero","River","Wildfire","fire","restoration","periphyton","diatom"],"licence":"Open government licence","lineage":"Periphyton was sampled in riffles and pools in the restored and unrestored reach of South Fork McKenzie River using standard methods (Baird, Eaton & Rice, 2017 ISBN: 9780875532875; Kelly et al., 1998 https://doi.org/10.1023/A:1008033201227). A toothbrush was used to scrub the periphyton off five randomly selected cobbles. The cobbles were rinsed with distilled water and the resultant liquid was composited them into a single sample, which was split into three subsamples. One subsample was preserved in 37% formalin for diatom composition analysis, while two unpreserved subsamples were analysed for chlorophyll a (Chl a) and ash-free dry mass (AFDM). At least 500 diatom valves were counted from each sample and identified to genus level.","locations":["POLYGON((-122.29 44.13, -122.29 44.16, -122.23 44.16, -122.23 44.13, -122.29 44.13))"],"metadataDate":"2026-07-25T06:47:39.000Z","organisation":["Portland State University","University of Nottingham","US Forest Service","Colorado State University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6b7337fa-037b-4c03-a8be-fd4c5722fe1a","10.5285/6b7337fa-037b-4c03-a8be-fd4c5722fe1a","doi:10.5285/6b7337fa-037b-4c03-a8be-fd4c5722fe1a"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Periphyton data consists of diatom scrubs sampled in a range of riffle and pool habitats including diatom taxa counts (identified to genus level) and computed autotrophic index (ratio of the organic mass per cm2 to mass (microgram) of chlorophyll a) as well as site…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":"Diatom data from the South Fork McKenzie River in Oregon, USA after a wildfire event, 2021 to 2022","version":1.0,"view":["public","crimar"]},{"availability":"Available","catalogue":"eidc","description":"This is a web map service (WMS) for the 10-metre Land Cover Map 2020.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is the first 10m resolution land cover map produced by UKCEH..","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["Dan"],"grant":["NE/R016429/1"],"identifier":"51bcb92a-dd88-4034-ba65-a9d432dd632a","incomingCitationCount":0,"keyword":["Great Britain","UK-SCAPE","Land cover","Mapping","infoMapAccessService","Web map service (WMS)","land cover mapping"],"keywordsOther":["infoMapAccessService","Web map service (WMS)","land cover mapping"],"keywordsPlace":["Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH’s automated land cover classification algorithms generated the 10m classified pixels. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the pixel classification into a land parcel framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-25T11:15:39.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-10T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/51bcb92a-dd88-4034-ba65-a9d432dd632a"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the 10-metre Land Cover Map 2020.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is the first 10m resolution land cover map produced by UKCEH.…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Land Cover Map 2020 10m web map service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises of dry weight root biomass data collected from 0 cm to 10 cm, 10 cm to 20 cm and 20 cm to 30 cm soil depths from six salt marsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"a84622db-842d-40d2-aad8-e3f85bd306c9","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","root biomass","BESS","CBESS","salt marsh","coastal grassland"],"keywordsOther":["root biomass","BESS","CBESS","salt marsh","coastal grassland"],"keywordsPlace":["Morecambe Bay","Essex"],"licence":"Open government licence","lineage":"Roots were collected by taking sediment cores (16cm diameter, 30cm depth). The cores comprised of soil, intact roots and above ground vegetation. The roots were exposed by washing away the soil in a recirculating flume and then divided into three depth section. 0cm to 10 cm, 10cm to 20 cm and 20cm to 30cm. The roots were then dried at 60 degrees centigrade for 72 hours and weighed. Results were converted from kilogrammes of dry weight per core area to kilogrammes of dry weight per square metre. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 m to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m t 1000 m or site maximum).","locations":["POLYGON((-3 51.5, -3 54.25, 1 54.25, 1 51.5, -3 51.5))"],"metadataDate":"2026-09-15T08:41:23.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-07-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1434359197624","CEH:EIDC::1434359197624","https://catalogue.ceh.ac.uk/id/a84622db-842d-40d2-aad8-e3f85bd306c9","10.5285/a84622db-842d-40d2-aad8-e3f85bd306c9","doi:10.5285/a84622db-842d-40d2-aad8-e3f85bd306c9"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises of dry weight root biomass data collected from 0 cm to 10 cm, 10 cm to 20 cm and 20 cm to 30 cm soil depths from six salt marsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) dry weight root biomass from three soil depths on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Pottinger","Matthiessen"],"authorFullName":["Pottinger, T.G.","Matthiessen, P."],"authorGivenName":["T.G.","P."],"authorOrcid":["0000-0001-7661-9369"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data were collected from three-spined sticklebacks (Gasterosteus aculeatus L.) sampled at sites downstream of wastewater treatment works (WWTWs), and at sites with no identifiable WWTW input, in the north west of England.   For fish captured at each site, data include fish characteristics (weight, length, condition factor and sex).   Additionally, indicators of stress (whole-body concentrations of cortisol, cortisol released to water, and whole-body glucose concentrations) were quantified in order to assess the status of the stress axis in individuals immediately following capture (unstressed - baseline cortisol and glucose) and after a short period of confinement (stressed - elevated cortisol and glucose). \n\nThe data were collected as part of a study conducted to evaluate whether the complex chemical milieu present in rivers downstream of WWTWs, one of the most abundant point-sources of aquatic pollutants in UK waters, can affect the functioning of the stress axis in fish.  Sampling was conducted during 2011, 2013 and 2014 by the Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Pottinger","Matthiessen"],"fullName":["Pottinger, T.G.","Matthiessen, P.","Pottinger, T."],"givenName":["T.G.","P.","Tom"],"identifier":"87281ce8-6fb3-40c8-89de-0c476d84b110","incomingCitationCount":0,"keyword":["Environmental survey","Pollution","Water quality","Gasterosteus aculeatus"],"keywordsOther":["Gasterosteus aculeatus"],"keywordsTheme":["Environmental survey","Pollution","Water quality"],"licence":"Open government licence","lineage":"The fish were captured with a a metal-framed 45 cm D-profile hand net, then processed and analysed at the Centre for Ecology & Hydrology, Lancaster. See supporting documentation for further information.","locations":["POLYGON((-3.113 53.298, -3.113 53.911, -1.932 53.911, -1.932 53.298, -3.113 53.298))"],"metadataDate":"2026-07-25T08:39:15.000Z","orcid":["0000-0001-7661-9369"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/87281ce8-6fb3-40c8-89de-0c476d84b110","10.5285/87281ce8-6fb3-40c8-89de-0c476d84b110","doi:10.5285/87281ce8-6fb3-40c8-89de-0c476d84b110"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data were collected from three-spined sticklebacks (Gasterosteus aculeatus L.) sampled at sites downstream of wastewater treatment works (WWTWs), and at sites with no identifiable WWTW input, in the north west of England.   For fish captured at each site, data…","state":"published","temporalExtentText":"Data collected from 2011 to 2014","title":"Indicators of stress in three-spined stickleback fish from downstream of wastewater treatment works in the north west of England ","topic":["0/Environmental survey/","0/Pollution/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Scottish Association for Marine Science"],"authorFamilyName":["Adams","Burrows"],"authorFullName":["Adams, T.P.","Burrows, M.T."],"authorGivenName":["T. P.","M. T."],"authorRor":["https://ror.org/04ke6ht85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a salt marsh area and adjacent mudflat area. Each site comprised 22 quadrats on the unvegetated mudflat and 22 quadrats on the salt marsh. The locations indicated by this dataset correspond to the south-east corner of the quadrats which were 1m square and oriented with their sides aligned North-South and East-West. \n\nWe combined spatial data relating to the environs of the study sites from a number of sources (Ordnance Survey Digital Terrain Models, Ordnance Survey Boundary Line, Environment Agency Saltmarsh Extents, Natural England Priority Habitat Inventory). These were rasterised and quadrat values were extracted on a pointwise basis for elevation and proximity (distance to creek, habitat edge and high water mark). Tidal height was calculated with reference to the relevant Tidal Gauge and Admiralty Standard Port information.\n\nThis data was derived as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Adams","Burrows"],"fullName":["Adams, T.P.","Burrows, M.T.","Adams, T."],"funder":["Natural Environment Research Council"],"givenName":["T. P.","M. T.","Tom"],"grant":["NE/J015644/1"],"identifier":"78a2cab5-dca5-411b-ac5b-c2c080928b1d","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","Surface elevation","geopositioning","dGPS","GPS","GNSS","geolocation","mudflat","quadrat","salt marsh"],"keywordsOther":["Surface elevation","geopositioning","dGPS","GPS","GNSS","geolocation","mudflat","quadrat","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"Quadrat locations were taken from GPS readings collected during the CBESS survey programme (OSGB coordinates). Rasterised Digital Terrain Model data at 5 and 50 m horizontal resolution was downloaded from Edina Digimap (Edina.ac.uk), and elevation values at quadrat locations were extracted using R (www.r-project.org; Raster/Maptools packages). Tidal range at relevant Admiralty Standard Ports and adjustment applicable at relevant local tidal gauge were identified, and Mean Low Water Springs and Mean High Water Springs were converted to Ordnance Datum. Tidal height (elevation relative to the difference between Mean Low Water Springs and Mean High Water Springs) was computed at each quadrat for GPS and DTM derived elevations.\n\nSaltmarsh and mudflat boundary data were downloaded from the Environment Agency and Natural England Priority Habitats Inventory. Mean High Water line was extracted from Ordnance Survey Boundary Line data, and land edge from Ordnance Survey Vector Map data. Line shapefiles were converted to rasters with 5 and 50 m horizontal resolution (matching OS DTM grid) using R. Distance to creek edge and high water line (saltmarsh only), and land edge (mudflat only) was calculated in R using 5 m resolution rasterised shapefiles.\n","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:42:06.000Z","organisation":["Scottish Association for Marine Science","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-06-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78a2cab5-dca5-411b-ac5b-c2c080928b1d","10.5285/78a2cab5-dca5-411b-ac5b-c2c080928b1d","doi:10.5285/78a2cab5-dca5-411b-ac5b-c2c080928b1d"],"resourceType":"Dataset","ror":["https://ror.org/04ke6ht85","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) locations, elevations and proximity metrics of survey quadrats in saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}