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The females were then exposed to an experimental treatment of either 50% or 30% relative humidity for two weeks during gestation. Subsequently, all females were kept at 50% relative humidity for 10 weeks, after which the number of nymphs and clutches per female were counted. Data collection took place from 29/12/23 to 23/01/24. 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The transfer parameter values have been derived using procedures for data collation and reporting agreed by the International Atomic Energy Agency's EMRAS programme working group that compiled TRS 472 (IAEA, 2010).  Quality control procedures were agreed by the working group to ensure that only data which fulfilled various criteria were included. The QC and data compilation procedures are briefly outlined in (IAEA 2010) and more fully in IAEA (2009). In the following IAEA MODARIA programme, further data quality control was performed, the procedures for which are outlined in the goat milk paper in Howard et al (2016).","metadataDate":"2026-07-25T06:53:55.000Z","orcid":["0000-0002-9698-9524"],"organisation":["Centre for Ecology & Hydrology","ECOMatters Inc","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7713d170-f6a3-4aa7-83c8-fe91278517ce","10.5285/7713d170-f6a3-4aa7-83c8-fe91278517ce","doi:10.5285/7713d170-f6a3-4aa7-83c8-fe91278517ce"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radioactivity transfer parameter and concentration ratio values for gastrointestinal contents of ruminants (cows and goats) to milk. 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IAEA, Vienna, 2010."],"temporalExtentText":"Data collected from 1960 to 2016","title":"Transfer of radionuclides to cow and goat milk","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Evans"],"authorFullName":["Morrison, R.","Evans, J.G."],"authorGivenName":["R.","J.G."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at an area of ancient broadleaved deciduous forest in Oxfordshire, UK (Wytham Woods). Turbulent flux densities were monitored from the top of a forest tower using the micrometeorological eddy covariance (EC) technique between 2014-06-13 13:00 and 2016-01-04 22:00. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. 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For further details, see the supporting document downloadable from this record.","locations":["POLYGON((-1.348 51.758, -1.348 51.785, -1.301 51.785, -1.301 51.758, -1.348 51.758))"],"metadataDate":"2026-09-15T08:39:19.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b9ae2fe-e545-4209-b35f-e2ef6231dfe6","10.5285/9b9ae2fe-e545-4209-b35f-e2ef6231dfe6","doi:10.5285/9b9ae2fe-e545-4209-b35f-e2ef6231dfe6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains time series observations of turbulent surface-atmosphere exchanges of sensible heat (H) and momentum (τ) measured at an area of ancient broadleaved deciduous forest in Oxfordshire, UK (Wytham Woods). Turbulent flux densities were monitored from…","state":"published","supplementalDescription":["Information about the cosmic-ray soil moisture monitoring network (COSMOS), a long-term network of soil moisture monitoring stations for the United Kingdom, established by the Centre for Ecology & Hydrology."],"supplementalName":["COSMOS "],"temporalExtentText":"Data collected from 2014 to 2016","title":"Turbulent fluxes of sensible heat and momentum at an ancient deciduous broadleaved forest in southern England","topic":["0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme "],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). 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Other information includes the date of sampling, data regarding the spatial location of the plot, and an assessment of whether or not the recorded broad habitat is reported to have changed between surveyor visits.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme "],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"a12b5c70-c0e2-48cf-b0b7-3e95791feca9","incomingCitationCount":0,"keyword":["Environmental survey","National Plant Monitoring Scheme","validation","training","plant community","vegetation","earth observation","habitat","environmental monitoring"],"keywordsOther":["National Plant Monitoring Scheme","validation","training","plant community","vegetation","earth observation","habitat","environmental monitoring"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system through the National Plant Monitoring Scheme (NPMS) website or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 48.137, -8.648 60.861, 2.944 60.861, 2.944 48.137, -8.648 48.137))"],"metadataDate":"2026-09-02T14:10:09.000Z","organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2023-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a12b5c70-c0e2-48cf-b0b7-3e95791feca9","10.5285/a12b5c70-c0e2-48cf-b0b7-3e95791feca9","doi:10.5285/a12b5c70-c0e2-48cf-b0b7-3e95791feca9"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of…","state":"published","supplementalName":["Indicia database system","National Plant Monitoring Scheme website"],"temporalExtentText":"Data collected from 2015 to 2022","title":"Habitat samples from the National Plant Monitoring Scheme, 2015-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Rothamsted Research","Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Blaud","Abadie","Clark","Hirsch","Griffiths","Goodall","Carswell","Misselbrook","Shaw","Sánchez-Rodríguez","Chadwick","Jones","Cowan","Skiba","Reinsch"],"authorFullName":["Blaud, A.","Abadie, M.","Clark, I.M.","Hirsch, P.R.","Griffiths, R.I.","Goodall, T.I.","Carswell, A.M.","Misselbrook, T.H.","Shaw, R.","Sánchez-Rodríguez, A.R.","Chadwick, D.R.","Jones, D.L.","Cowan, N.J.","Skiba, U.","Reinsch, S."],"authorGivenName":["A.","M.","I.M.","P.R.","R.I.","T.I.","A.M.","T.H.","R.","A.R.","D.R.","D.L.","N.J.","U.","S."],"authorOrcid":["0000-0003-0860-8080","0000-0002-1589-5420","0000-0002-3341-4547","0000-0003-0580-6698","0000-0002-4594-3606","0000-0001-8734-2035","0000-0002-1482-4209","0000-0001-8659-6092","0000-0003-4649-0677"],"authorRor":["https://ror.org/0347fy350","https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data nitrogen gene data, soil biodiversity indices and microbial community composition, for three soil depths (0-15, 15-30 and 30-60 cm) from a three-cut silage plot trial located at three grassland sites within the UK collected between April 2016 and October 2016. The sites were Rothamsted Research at North Wyke in Devon, Bangor University at Henfaes Research Station in North Wales and Easter Bush in Scotland.\n\nAt each site measurements were taken from 16 plots, organised within a randomised complete block design where 4 plots did not receive fertilizers (controls), 4 plots received urea only, 4 plots received urea and urea-inhibitors, and 4 plots received ammonium-nitrate (Nitram). Fertiliser was applied three times and three cuts were performed, all parameters measured were following a fertiliser application. Samples were taken before the fertilizer additions, at peak growth and before the last silage cut.\n\nSoil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. Soil physico-chemical parameters were measured on the same samples and are available in a related dataset measured on the same soil samples and are presented in a separate dataset in the project data series (https://catalogue.ceh.ac.uk/id/7a87dde4-b54e-49b0-8751-1d59e8aebb90).\n\nMeasurements were undertaken by members of staff from the Centre of Ecology & Hydrology (Bangor, Edinburgh, Lancaster, Wallingford), Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences, North Wyke.\n\nData was collected for the Newton Fund project \"UK-China Virtual Joint Centre for Improved Nitrogen Agronomy\". Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC -  Ref BB/N013468/1","documentType":"GEMINI_DOCUMENT","familyName":["Blaud","Abadie","Clark","Hirsch","Griffiths","Goodall","Carswell","Misselbrook","Shaw","Sánchez-Rodríguez","Chadwick","Jones","Cowan","Skiba","Reinsch"],"fullName":["Blaud, A.","Abadie, M.","Clark, I.M.","Hirsch, P.R.","Griffiths, R.I.","Goodall, T.I.","Carswell, A.M.","Misselbrook, T.H.","Shaw, R.","Sánchez-Rodríguez, A.R.","Chadwick, D.R.","Jones, D.L.","Cowan, N.J.","Skiba, U.","Reinsch, S."],"funder":["Biotechnology and Biological Sciences Research Council"],"givenName":["A.","M.","I.M.","P.R.","R.I.","T.I.","A.M.","T.H.","R.","A.R.","D.R.","D.L.","N.J.","U.","S."],"grant":["BB/N013468/1"],"identifier":"59f81d41-a789-4c5c-8ab8-36baa7ac2c55","incomingCitationCount":0,"keyword":["CINAg","Centre for improved Nitrogen agronomy","Soil","Urease Inhibitor","Soil properties","grassland","nitrogen","fertiliser","soil"],"keywordsOther":["Urease Inhibitor","Soil properties","grassland","nitrogen","fertiliser","soil"],"keywordsProject":["CINAg","Centre for improved Nitrogen agronomy"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soil samples were taken by members of the sites. At North Wyke and Henfaes farm, staff from CEH Bangor helped taking the samples. Two sets of soil cores were taken. One was sent in cooling boxes on ice to CEH Bangor for measuring soil physicochemical properties. The second set was sent to Rothamsted Research Harpenden for the analysis of nitrogen genes and microbial community composition (related dataset). The topsoil 0-15 cm were taken with the same type of corer across the sites, samples below 15 cm soil depth were sampled with corers available at the sites. Samples were wet sieved to 5 mm by staff from Bangor University and CEH Bangor. Subsamples of these were analysed for physicochemical and biological parameters.\n\nDNA extractions were performed by Rothamsted Research Harpenden. Extracts were analyzed for nitrogen genes at Rothamsted Research in Harpenden. Extracts were also sent to CEH Wallingford for analyses of Operational Taxonomic Units (OTU's).\n\nSoil community DNA was extracted from 0.25 gams soil using the MoBio DNA PowerSoil DNA isolation kit (Mo Bio Laboratories, Inc. Carlsbad, CA), following manufacturer’s protocol. Extracted DNA was quantified by fluorometer Qubit® 2.0 dsDNA BR Assay Kit (Thermo Fisher Scientific) and quality checked by nanodrop (Thermo Fisher Scientific).\n\nQuantitative-polymerase chain reaction (qPCR) protocols were as detailed in De Sosa et al. 2018.\n\nMicrobial nitrogen cycling gene abundance was investigated by qPCR targeting specific genes or genetic regions. Bacterial and archaeal communities were targeted via the 16S rRNA genes, while the fungal community abundance was targeted by the ITS region. The different genes involved in soil nitrogen cycling were investigated: \n•\tNitrogen fixation (nifH gene)\n•\tNitrification by targeting the ammonia oxidising bacteria (AOB) and archaea (AOA) (amoA gene)\n•\tDenitrifiers via the nitrite reductase (nirK and nirS genes) and the nitrous oxide reductase (nosZ genes clade I and II)\n•\tDegradation of urea was also assessed by targeting the ureC gene\n\nqPCR amplifications were performed in 10 μL volumes containing 5 μL of QuantiFast (Qiagen, Manchester, UK), 2.8 μL of nuclease-free water (Severn Biotech, Kidderminster, UK), 0.1 μL of each primer (1 μM) and 2 μL of template DNA at 5 ng μL−1, using a CFX384 Touch® Real-Time PCR Detection System (Bio-Rad, Hemel Hempstead, UK). \n\nStandards for each molecular target were obtained using a 10 fold serial dilution of PCR products amplified from an environmental reference DNA (also used as positive control) and purified by gel extraction using the Wizard® SV Gel and PCR Clean Up System (Promega, Southampton, UK) following the manufacturer's instruction and quantified by fluorometer Qubit® 2.0 dsDNA BR Assay Kit (Thermo FisherScientific). \n\nStandard curve template DNA and the negative/positive controls were amplified in triplicate. Amplification conditions for all qPCR assays consisted in 2 steps: first denaturation at 95 degrees Celsius for 5 minutes followed by 40 cycles at 95 degrees Celsius for 10 seconds and 60 degrees Celsius for 30 seconds that included annealing, elongation and reading. Each amplification was followed by melting curve (increase in temperature from 60 degrees Celsius to 95 degrees Celsius, with a reading every 0.5degrees Celsius) to assess the specificity of each assay.\n\nThe efficiency of the qPCR varied between 85.2 percent and 95.9 percent (except nozII 74.4 percent, amplicon 746 bp long), and R2 between 0.987 and 0.999. The melting curves showed specificity for all the genes, except as expected for the fungal Internal Transcribed Spacer (ITS), that showed the amplification of products of different lengths, due to the variability in length of the ITS region between different fungal taxa (Manter and Vivanco, 2007).\n\nMicrobial diversity indices:\nExtracted DNA was supplied from Rothamsted Research in Harpenden (see section 5.4.13 in main supporting document) for amplicon sequencing at the facilities of the Molecular Ecology Group, Centre for Ecology & Hydrology, Wallingford. <50 μL volumes of DNA extract were supplied in 96-well plate format, these were subject to:\n•\t16S rRNA amplicon sequencing as per Kozich 2013 (Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform), utilising V3-V4 region primers\n•\tITS rRNA amplicon sequencing employing the Kozich 2013 strategy, utilizing ITS primers by Ihrmark 2012 (New primers to amplify the fungal ITS2 region--evaluation by 454-sequencing of artificial and natural communities)\n\nAmplicons were sequenced on Illumina MiSeq platform with V3 chemistry. Resulting sequences were demultiplexed using Illumina Basespace. 16S amplicons were processed using in-house developed pipelines for quality filtering, merging and taxonomic assignment (GreenGenes database) of operational taxonomic units (OTUs). ITS amplicons were processed using the R package Dada2 for quality filtering, merging. \nR package Vegan was used to analyse amplicon sequences. Bacterial and fungal Shannon’s Index diversity scores for each sample were produced from rarefied data using diversity function. Species richness for each sample were similarly produced using ‘specnumber’ function.\n\nBacterial phylum level frequencies were produced from taxonomically identified OTU sequences (using Greengenes database), these values are a percentage of the rarefied total.\n\nAll results were entered into CSV spreadsheet.","locations":["POLYGON((-4.022 50.767, -4.022 55.873, -3.191 55.873, -3.191 50.767, -4.022 50.767))"],"metadataDate":"2026-07-24T23:07:54.000Z","orcid":["0000-0003-0860-8080","0000-0002-1589-5420","0000-0002-3341-4547","0000-0003-0580-6698","0000-0002-4594-3606","0000-0001-8734-2035","0000-0002-1482-4209","0000-0001-8659-6092","0000-0003-4649-0677"],"organisation":["Rothamsted Research","Centre for Ecology & Hydrology","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-04-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59f81d41-a789-4c5c-8ab8-36baa7ac2c55","10.5285/59f81d41-a789-4c5c-8ab8-36baa7ac2c55","doi:10.5285/59f81d41-a789-4c5c-8ab8-36baa7ac2c55"],"resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data nitrogen gene data, soil biodiversity indices and microbial community composition, for three soil depths (0-15, 15-30 and 30-60 cm) from a three-cut silage plot trial located at three grassland sites within the UK collected between April 2016 and October 2016.…","state":"published","supplementalDescription":["Manter, D. K., & Vivanco, J. M. (2007). Use of the ITS primers, ITS1F and ITS4, to characterize fungal abundance and diversity in mixed-template samples by qPCR and length heterogeneity analysis. Journal of Microbiological Methods, 71(1), 7–14.","Kozich, J.J., Westcott, S.L., Baxter, N.T., Highlander, S.K., & Schloss, P.D. (2013). Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform. Applied and Environmental Microbiology, 79(17), 5112–5120.","de Sosa, L.L., Glanville, H.C., Marshall, M.R., Schnepf, A., Cooper, D.M., Hill, P.W., … Jones, D.L. (2018). Stoichiometric constraints on the microbial processing of carbon with soil depth along a riparian hillslope. Biology and Fertility of Soils, 54(8), 949–963. "],"supplementalName":["Kozich 2013 ","GreenGenes database","The UK-China Virtual Joint Centre for Improved Nitrogen Agronomy (CINAG)"],"temporalExtentText":"Data collected from 2016 to 2016","title":"Soil biological properties from an inorganic fertiliser (grass trial) experiment at North Wyke, Henfaes Farm and Easter Bush, UK (2016)","topic":["0/Soil/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Exeter","University of Edinburgh","University of Western Ontario","Universidad de Antioquia","University of Gothenburg"],"authorFamilyName":["Cox","Hartley","Meir","Sitch","Dusenge","Restrepo","González-Caro","Villegas","Uddling","Mercado"],"authorFullName":["Cox, A.J.F.","Hartley, I.P.","Meir, P.","Sitch, S.","Dusenge, M.E.","Restrepo, Z.","González-Caro, S.","Villegas, J.C.","Uddling, J.","Mercado, L.M."],"authorGivenName":["A.J.F.","I.P.","P.","S. ","M.E. ","Z. ","S.","J.C. ","J.","L.M. "],"authorOrcid":["0000-0002-5166-7169","0000-0002-9183-6617","0000-0002-2362-0398","0000-0003-1821-8561","0000-0003-4218-0911","0000-0002-3213-9985","0000-0002-2287-7431","0000-0003-4893-1915","0000-0003-4069-0838"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/01nrxwf90","https://ror.org/02grkyz14","https://ror.org/03bp5hc83","https://ror.org/01tm6cn81"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes key photosynthesis and respiration data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. Raw A-Ci data, the Vcmax (carboxylation of RuBP by the enzyme Rubisco) and Jmax (the regeneration of RuBP by the electron transport chain) values estimated from this data, and Rdark (leaf dark respiration) values collected using spot measurements, are all available, along with variables such as leaf temperature (°C), relative humidity (%) and pressure values (kPa) returned by the LI-6800 portable photosynthesis system.  ","documentType":"GEMINI_DOCUMENT","familyName":["Cox","Hartley","Meir","Sitch","Dusenge","Restrepo","González-Caro","Villegas","Uddling","Mercado"],"fullName":["Cox, A.J.F.","Hartley, I.P.","Meir, P.","Sitch, S.","Dusenge, M.E.","Restrepo, Z.","González-Caro, S.","Villegas, J.C.","Uddling, J.","Mercado, L.M."],"funder":["Natural Environment Research Council"],"givenName":["A.J.F.","I.P.","P.","S. ","M.E. ","Z. ","S.","J.C. ","J.","L.M. ","L.M."],"grant":["NE/R001928/1"],"identifier":"60dd0b8f-f0c3-4e30-841b-1c2067052974","incomingCitationCount":0,"keyword":["Andean Montane Forests","Colombian Andes","acclimation","Vcmax","Jmax","Rdark","photosynthesis","respiration"],"keywordsOther":["acclimation","Vcmax","Jmax","Rdark","photosynthesis","respiration"],"keywordsPlace":["Andean Montane Forests","Colombian Andes"],"licence":"Open government licence","lineage":"The raw A-Ci data was collected using a LI-6800 portable photosynthesis system. Once clamped onto a leaf, conditions inside the cuvette were standardised to 29ᵒC, 65% relative humidity and 410ppm CO2; once stable at gs ≥0.05 mol m-2 s-1, net photosynthesis was measured sequentially at 8 different ambient CO2 concentrations (Ca; 410, 300, 175, 60, 410, 800, 1500, 2000) corresponding to different intercellular Ci concentrations. Light intensity was set to a pre-determined saturating photon flux density (PPFD) for each species, according to A-Q curves collected prior to the A-Ci curves.\n\nVcmax and Jmax values were estimated by inputting the raw A-Ci data into the 'plantecophys' package (Duursma, 2015) in the R environment (v4.2.1; R Core Team, 2022). Once these had been extracted, values were standardised to both 25°C and site growth temperature (Tg) using temperature response values derived from Kumarathunge et al. (2019) and the equation given in the supporting documentation. \n\nRdark values were also standardised to 25°C and Tg using an exponential fixed Q10 equation (Tjoelker et al. 2001) and including the temperature-dependence of Q10; both equations are given in the supporting documentation.","locations":["POLYGON((-80.332 -4.828, -80.332 13.24, -65.566 13.24, -65.566 -4.828, -80.332 -4.828))"],"metadataDate":"2026-07-25T06:42:53.000Z","orcid":["0000-0002-5166-7169","0000-0002-9183-6617","0000-0002-2362-0398","0000-0003-1821-8561","0000-0003-4218-0911","0000-0002-3213-9985","0000-0002-2287-7431","0000-0003-4893-1915","0000-0003-4069-0838"],"organisation":["University of Exeter","University of Edinburgh","University of Western Ontario","Universidad de Antioquia","University of Gothenburg","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-03-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/60dd0b8f-f0c3-4e30-841b-1c2067052974","10.5285/60dd0b8f-f0c3-4e30-841b-1c2067052974","doi:10.5285/60dd0b8f-f0c3-4e30-841b-1c2067052974"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/01nrxwf90","https://ror.org/02grkyz14","https://ror.org/03bp5hc83","https://ror.org/01tm6cn81","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes key photosynthesis and respiration data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. Raw A-Ci data, the Vcmax (carboxylation of RuBP by the enzyme Rubisco) and Jmax (the regeneration of…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"A-Ci, photosynthetic capacity and dark respiration data along an elevation/temperature gradient in the Colombian Andes, 2019","version":1.0,"view":["public","shofer"]},{"authorAffiliation":["Centre for Ecology & Hydrology","SASA","University of St Andrews"],"authorFamilyName":["Purse","Schlenzig","Harris","Searle"],"authorFullName":["Purse, B.V.","Schlenzig, A.","Harris, C.","Searle, K."],"authorGivenName":["B.V.","Alexandra","C.","K."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)"],"description":"These spatial layers contain risk factors and overall risk scores, representing relative risk of Phytophthora infection (Phytophthora ramorum and P. kernoviae), for Core Native Woodland and known larch fragments across Scotland. Risk factors include climate suitability, proximity to road and river networks and suitability of habitat for key hosts of Phytophthora and were broadly concurrent with the period between 2007 and 2013. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH).","documentType":"GEMINI_DOCUMENT","familyName":["Purse","Schlenzig","Harris","Searle"],"fullName":["Purse, B.V.","Schlenzig, A.","Harris, C.","Searle, K.","Purse, B."],"givenName":["B.V.","Alexandra","C.","K.","B."],"identifier":"29726cda-09f5-4661-8fd4-ddaa5555466a","incomingCitationCount":1,"keyword":["Scotland","Modelling","Phytophthora ramorum","Phytophthora kernoviae ","Rhododendron ponticum","Vaccinium myrtillus"],"keywordsOther":["Phytophthora ramorum","Phytophthora kernoviae ","Rhododendron ponticum","Vaccinium myrtillus"],"keywordsPlace":["Scotland"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Risk factors were extracted and summarised for Core Native Woodland and Larch fragments, and included habitat suitability for the principal sporulation host, Rhododendron ponticum, and predicted abundance for the additional host, Vaccinium myrtillus, climatic suitability for growth and sporulation, proximity to inspected garden or trade premises, proximity to infected premises, and proximity to larch and infected larch. Final weighting for risk factors were agreed with partners for the final calculation of risk scores. Newly developed methods for modelling habitat suitability of invasive species were used to predict habitat suitability for the invasive shrub Rhododendron ponticum.A suite of climate, soil, biotic and abiotic factors were used to predict percent cover for Vaccinium myrtillus. Data on outbreaks in 2011, 2012 and up to May 2013 were provided by SASA and locations of larch infections up to April 2013 were provided by the Forestry Commission. A small proportion of core native woodland fragments were missing data for climate and Vaccinium myrtillus habitat suitability. Adam Butler from Biomathematics and Statistics Scotland (BioSS) provided statistical advice for habitat suitability modelling.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-24T19:29:50.000Z","organisation":["Centre for Ecology & Hydrology","SASA","University of St Andrews","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/29726cda-09f5-4661-8fd4-ddaa5555466a","10.5285/29726cda-09f5-4661-8fd4-ddaa5555466a","doi:10.5285/29726cda-09f5-4661-8fd4-ddaa5555466a"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"These spatial layers contain risk factors and overall risk scores, representing relative risk of Phytophthora infection (Phytophthora ramorum and P. kernoviae), for Core Native Woodland and known larch fragments across Scotland. Risk factors include climate suitability,…","state":"published","temporalExtentText":"Data collected from 2007 to 2013","title":"Risk of Phytophthora infection in woodland and larch fragments across Scotland","topic":["0/Modelling/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Smart","Andrews","Fitos","Garbutt","Gray","Henrys","Koblizek","Pallett","Robinson","Rose","Rowe","Scarlett","Towill","Wagner","Williams","Wood"],"authorFullName":["Smart, S.M.","Andrews, C.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Koblizek, E.","Pallett, D.W.","Robinson, D.A.","Rose, R.J.","Rowe, R.L.","Scarlett, P.","Towill, J.","Wagner, M.","Williams, B.","Wood, C.M."],"authorGivenName":["S.M.","C.","E.","R.A.","A.","P.A.","D.W.","D.A.","R.J.","R.L.","P.","J.","M.","B.","C.M."],"authorOrcid":["0000-0003-2750-7832","0000-0003-2428-272X","0000-0002-9145-9786","0000-0002-6785-0590","0000-0003-4758-1482","0000-0001-7290-4867","0000-0001-9993-5743","0000-0002-7554-821X","0000-0001-6242-8158","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of plant species presence and abundance in different sizes of plots  recorded from the first 100 1km squares across Great Britain in 2019, as part of a rolling soil and vegetation monitoring program of 500 1km squares, repeated every 5 years. \n\nThe UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to vegetation data, soil data are also gathered by the current phase of the Countryside Survey.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Andrews","Fitos","Garbutt","Gray","Henrys","Koblizek","Pallett","Robinson","Rose","Rowe","Scarlett","Towill","Wagner","Williams","Wood"],"fullName":["Smart, S.M.","Andrews, C.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Koblizek, E.","Pallett, D.W.","Robinson, D.A.","Rose, R.J.","Rowe, R.L.","Scarlett, P.","Towill, J.","Wagner, M.","Williams, B.","Wood, C.M.","Smart, S."],"funder":["Natural Environment Research Council"],"givenName":["S.M.","C.","E.","R.A.","A.","P.A.","D.W.","D.A.","R.J.","R.L.","P.","J.","M.","B.","C.M.","Simon"],"grant":["NE/R016429/1"],"identifier":"fd6ae272-aeb5-4573-8e8a-7ccfae64f506","incomingCitationCount":2,"keyword":["Great Britain","UK-SCAPE ","vascular plants","ground flora"],"keywordsPlace":["Great Britain"],"keywordsProject":["UK-SCAPE "],"keywordsTheme":["vascular plants","ground flora"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summer of 2019 by professional, trained surveyors.  Data were recorded from 100 x 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology.  Standard Countryside Survey methodology was applied (refer to the online documentation).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:11:13.000Z","orcid":["0000-0003-2750-7832","0000-0003-2428-272X","0000-0002-9145-9786","0000-0002-6785-0590","0000-0003-4758-1482","0000-0001-7290-4867","0000-0001-9993-5743","0000-0002-7554-821X","0000-0001-6242-8158","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fd6ae272-aeb5-4573-8e8a-7ccfae64f506","10.5285/fd6ae272-aeb5-4573-8e8a-7ccfae64f506","doi:10.5285/fd6ae272-aeb5-4573-8e8a-7ccfae64f506"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes of plots  recorded from the first 100 1km squares across Great Britain in 2019, as part of a rolling soil and vegetation monitoring program of 500 1km squares, repeated every 5 years. \n\nThe…","state":"published","supplementalDescription":["UKCEH Countryside Survey project website "],"supplementalName":["UKCEH Countryside Survey project website "],"temporalExtentText":"Data collected from 2019 to 2019","title":"Vegetation plot data from the UKCEH Countryside Survey, Great Britain, 2019","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Cranfield University","Abertay University"],"authorFamilyName":["Otten","Portell-Canal","Falconer"],"authorFullName":["Otten, W.","Portell-Canal, X.","Falconer, R."],"authorGivenName":["W.","Xavier","R."],"authorOrcid":["0000-0002-3847-9825","0000-0001-7702-0219","0000-0003-2189-0818"],"authorRor":["https://ror.org/05cncd958","https://ror.org/04mwwnx67"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data set provides Computed Tomography based soil microstructures of a sandy loam soil (Invergowrie, Scotland) providing the distributions of soil, air and water. The images provide two water conditions (20±0.5 and 80±0.5% of the pore volume), with distribution at pore scale computed using a lattice-Boltzmann modelling approach, for five soil bulk densities (1.2, 1.3, 1.4, 1.5, 1.6 g cm-3), and three repetitions per bulk density (30 images). The domain size of the images is 512x512x512 voxels with a voxel resolution of 24 µm.","documentType":"GEMINI_DOCUMENT","familyName":["Otten","Portell-Canal","Falconer"],"fullName":["Otten, W.","Portell-Canal, X.","Falconer, R."],"givenName":["W.","Xavier","R."],"identifier":"0d290420-913a-4858-a090-fdbce616c247","incomingCitationCount":0,"keyword":["Soil","X-ray Computed Tomography","bulk densities","water distribution","lattice-Boltzmann modelling","bulk density"],"keywordsOther":["X-ray Computed Tomography","bulk densities","water distribution","lattice-Boltzmann modelling","bulk density"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Microcosms containing aggregates between 1 and 2 mm of a sandy loam soil packed at five bulk densities (1.2, 1.3, 1.4, 1.5, 1.6 g cm-3) scanned using a benchtop X–ray Computed Tomography scanner, and images thresholded to obtain the solid and pore phases. The water and air distribution in the pore space was computed using lattice-Boltzmann modeling for two water conditions (20±0.5 and 80±0.5% as fraction of pore space visible with computed tomography), resulting in a total of 30 images (5 soil bulk densities * 3 repetitions per bulk density * 2 water conditions).","metadataDate":"2026-07-24T19:01:16.000Z","orcid":["0000-0002-3847-9825","0000-0001-7702-0219","0000-0003-2189-0818"],"organisation":["Cranfield University","Abertay University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d290420-913a-4858-a090-fdbce616c247","10.5285/0d290420-913a-4858-a090-fdbce616c247","doi:10.5285/0d290420-913a-4858-a090-fdbce616c247"],"resourceType":"Non-geographic dataset","rightsHolder":["Cranfield University"],"ror":["https://ror.org/05cncd958","https://ror.org/04mwwnx67","https://ror.org/04xw4m193"],"shortenedDescription":"The data set provides Computed Tomography based soil microstructures of a sandy loam soil (Invergowrie, Scotland) providing the distributions of soil, air and water. The images provide two water conditions (20±0.5 and 80±0.5% of the pore volume), with distribution at…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Solid, air and water phase distributions of a UK sandy loam soil packed at five bulk densities, 2018","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Dahlsjö","Malhi","Bailey"],"authorFullName":["Dahlsjö, C.A.L.","Malhi, Y.","Bailey, A."],"authorGivenName":["Cecilia A. L.","Yadvinder","Andrew"],"authorOrcid":["0000-0003-3795-1523"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots across Wytham Woods, near Oxford in southern England, to measure the accumulation of carbon (MgC/ha/year) among tree species and size classes from three experimental plot types (15 plots in total, five plots per type). The plot types include ash dominated (AD), ash dominated where ash trees have been girdled (ADG), and non-ash dominated (NAD) plots. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the growth rates, and carbon accumulation, among habitats with varying levels of ash dieback represented by different treatments.","documentType":"GEMINI_DOCUMENT","familyName":["Dahlsjö","Malhi","Bailey"],"fullName":["Dahlsjö, C.A.L.","Malhi, Y.","Bailey, A.","Cecilia Dahlsjö"],"funder":["Natural Environment Research Council"],"givenName":["Cecilia A. L.","Yadvinder","Andrew"],"grant":["NE/T007648/1"],"identifier":"fc00dbd0-bf3d-495e-9895-190919f8e5e8","incomingCitationCount":0,"keyword":["Environmental survey","deciduous forest","forest ecology","pathogen","carbon cycle"],"keywordsOther":["deciduous forest","forest ecology","pathogen","carbon cycle"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Tree censuses were conducted in November 2020, September 2021, and September 2022. A diameter band was used to record the diameter at breast height of all trees (>1cm diameter) in each plot. Growth values were calculated by subtracting the diameter from one year by the diameter from the previous year.  Stems that grew or shrank by 10 cm or more were removed due to suspected sampling error.  Data within size classes and species that were outside 3 standard deviations of the mean were also removed as they were classed as outliers that may have been affected by sampling error. The growth was then converted to biomass growth using allometric equations as outlined in Dahlsjo and Malhi (2024) and then converted to carbon assuming that the stems contained 49% carbon. Due to the high risk of sampling error we have  produced a relatively conservative dataset of carbon accumulation from plots with varying levels of ash dieback. Limitations include a small number (5) of plots per treatment. Data were converted from Excel into csv.","locations":["POLYGON((-1.357 51.755, -1.357 51.788, -1.299 51.788, -1.299 51.755, -1.357 51.755))"],"metadataDate":"2026-07-25T18:10:37.000Z","orcid":["0000-0003-3795-1523"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fc00dbd0-bf3d-495e-9895-190919f8e5e8","10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8","doi:10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots…","state":"published","supplementalDescription":["Cecilia A.L. Dahlsjö, Yadvinder Malhi, 2024, Unravelling a hidden synergy: How pathogen-climate interactions transform habitat hydrology and affect tree growth, Science of The Total Environment, Volume 954, 176325, ISSN 0048-9697"],"temporalExtentText":"Data collected from 2020 to 2022","title":"Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Exeter","CSIRO"],"authorFamilyName":["Ritchie","Smith"],"authorFullName":["Ritchie, P.D.L.","Smith, G.S."],"authorGivenName":["P.D.L.","G.S."],"authorOrcid":["0000-0002-7649-2991"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF","Comma-separated values (CSV)"],"description":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary productivity, runoff and irrigation demand are provided for scenarios combining and isolating the effects of climate, CO2 and irrigation. The driving climate data used to drive the models is from Regional Climate Model runs performed for the period 1998-2008 and for an eleven year period at 2100 for CO2 levels corresponding to the unmitigated Regional Concentration Pathway RCP8.5. ","documentType":"GEMINI_DOCUMENT","familyName":["Ritchie","Smith"],"fullName":["Ritchie, P.D.L.","Smith, G.S.","Ritchie, P."],"funder":["Natural Environment Research Council"],"givenName":["P.D.L.","G.S.","Paul"],"grant":["NE/P007880/1"],"identifier":"2efac82b-2438-4806-999d-374663210c34","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change","arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"keywordsOther":["arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"JULES is a community developed land surface model, led by the UK Met Office and Centre for Ecology & Hydrology. The data produced using JULES was model version vn4.9 and the model configuration can be found on the Rose suite u-ao645 under the branch ‘full_UK’, available from https://code.metoffice.gov.uk/trac/roses-u.\n\nECO-AG outputs have been produced using an approach at the heart of the UK National Ecosystem Assessment and UK NEA Follow-On studies. The data is produced on a 2km grid square (400 hectares) over Great Britain. The land use data are derived from the June Agricultural Census panel (www.edina.ac.uk) collected on a 2km grid square basis over the entirety of GB for ten unevenly spaced years from 1972 to 2010. The approach and input data has been widely peer reviewed and discussed.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:34:46.000Z","orcid":["0000-0002-7649-2991"],"organisation":["University of Exeter","CSIRO","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-10-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2efac82b-2438-4806-999d-374663210c34","10.5285/2efac82b-2438-4806-999d-374663210c34","doi:10.5285/2efac82b-2438-4806-999d-374663210c34"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary…","state":"published","temporalExtentText":"Data collected from 1998 to 2008; Data collected from 2098 to 2108","title":"Modelled arable area, net primary productivity, runoff, irrigation demand for Great Britain 1998-2008 and 2100 under high-end climate change","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["van Soest","Fitos","Lebron","Tandy","Keenan","Pereira","Hatton"],"authorFullName":["van Soest, M.A.J.","Fitos, E.","Lebron, I.","Tandy, S.","Keenan, P.O.","Pereira, M.G.","Hatton, J.E."],"authorGivenName":["Maud A. J.","E.","I.","S.","P.O.","M. Glória","J.E."],"authorOrcid":["0000-0002-4656-515X","0000-0001-8610-9717","0000-0003-0662-0991","0000-0003-3740-0019","0000-0002-9408-7981"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon (Pumlumon in Welsh) research catchments in Mid Wales. The data cover the period from March 2024 to March 2025. Sampling was carried out every four weeks by a team of researchers from UK Centre for Ecology & Hydrology. Stream samples were taken using a grab technique and filtered in the field. Rain samples were collected using bulk precipitation collectors. Data are presented for major anions and cations, pH, conductivity, alkalinity and in-situ measurements for the water temperature and stream flow for the six stream locations and air temperature and volume for the rainfall sites.","documentType":"GEMINI_DOCUMENT","familyName":["van Soest","Fitos","Lebron","Tandy","Keenan","Pereira","Hatton"],"fdriCatchment":["Upper Severn"],"fdriCategory":["Hydrology","Meteorology"],"fullName":["van Soest, M.A.J.","Fitos, E.","Lebron, I.","Tandy, S.","Keenan, P.O.","Pereira, M.G.","Hatton, J.E."],"funder":["Natural Environment Research Council"],"givenName":["Maud A. J.","E.","I.","S.","P.O.","M. Glória","J.E."],"grant":["NE/Y006208/1"],"identifier":"bb431417-01e8-43e7-bfe5-e48441b2e091","incomingCitationCount":0,"keyword":["Upper Severn","Floods and Droughts Digital Research Infrastructure (FDRI)","Water quality","environmental chemistry","water quality","Wales","Plynlimon","Hydrology","Meteorology"],"keywordsOther":["environmental chemistry","water quality","Wales","Plynlimon","Hydrology","Meteorology"],"keywordsPlace":["Upper Severn"],"keywordsProject":["Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Water quality"],"licence":"Non-Open government licence","lineage":"This data presented follow on from the hydrochemical data sets presented in the data series Plynlimon Hydrochemistry data. The Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968.\nFieldwork was carried out by UKCEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified UKCEH chemists at laboratories at UKCEH Lancaster and UKCEH Bangor. Data was being checked and added to an Access database before being extracted to csv and uploaded to EIDC.","locations":["POLYGON((-3.771 52.423, -3.771 52.531, -3.611 52.531, -3.611 52.423, -3.771 52.423))"],"metadataDate":"2026-09-25T12:46:18.000Z","orcid":["0000-0002-4656-515X","0000-0001-8610-9717","0000-0003-0662-0991","0000-0003-3740-0019","0000-0002-9408-7981"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bb431417-01e8-43e7-bfe5-e48441b2e091","10.5285/bb431417-01e8-43e7-bfe5-e48441b2e091","doi:10.5285/bb431417-01e8-43e7-bfe5-e48441b2e091"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon (Pumlumon in Welsh) research catchments in Mid Wales. The data cover the period from March 2024 to March 2025. Sampling was carried out every four weeks by a team of researchers from UK Centre…","state":"published","temporalExtentText":"Data collected from 2024 to 2025","title":"Plynlimon research catchment hydrochemistry (2024-2025)","topic":["0/Water quality/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorOrcid":["0000-0002-7398-4237","0000-0002-3237-7596","0000-0003-0870-1955","0000-0001-9500-0633","0000-0002-3627-851X","0000-0003-0529-4020","0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for the years 2040, 2070 and 2100 under the Shared Socioeconomic Pathways (SSPs) 1-5. SSPs are future scenarios based on narratives of possible socio-economic pathways.\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\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","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["J.","S.","E.J. ","T.","M."],"grant":["NE/R016429/1 "],"identifier":"eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","incomingCitationCount":0,"keyword":["Environmental risk","aerosol","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","sulphur oxide","nitrogen oxides","reduced nitrogen","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen","UK-SCAPE"],"keywordsOther":["aerosol","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","sulphur oxide","nitrogen oxides","reduced nitrogen","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen","UK-SCAPE"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN.\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:53:55.000Z","orcid":["0000-0002-7398-4237","0000-0002-3237-7596","0000-0003-0870-1955","0000-0001-9500-0633","0000-0002-3627-851X","0000-0003-0529-4020","0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","10.5285/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","doi:10.5285/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel,…","state":"published","supplementalDescription":["Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J. C., Kc, S., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silva, L. A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., and Tavoni, M.: The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change, 42, 153–168, https://doi.org/10.1016/j.gloenvcha.2016.05.009, 2017."],"supplementalName":["Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp.","National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01012022  ","The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory","Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre.","SSP scenarios"],"temporalExtentText":"Data collected from 2040 to 2040","title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 2040, 2070 and 2100 under the Shared Socioeconomic Pathway scenarios 1-5","topic":["0/Environmental risk/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg"],"authorFamilyName":["Tanguy","Bachmair","Stahl","Hannaford"],"authorFullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"authorGivenName":["M.","S.","K.","J."],"authorOrcid":["0000-0002-1516-6834","0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0245cg223"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has gridded data for Europe for three drought indicators:\n - the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index);\n - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature);\n - the Vegetation Health Index (VHI) which is a combination of VCI and TCI.\n\nThese three drought indicators have been extracted for European NUTS regions (level 0, 1, 2 and 3). These have been masked with a land use land cover map to be able to study different responses for various land cover types. A simplified LULC was created, with only four classes: forest, crop, shrub and grass. One extra time series was created for all classes together.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Bachmair","Stahl","Hannaford"],"fullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"givenName":["M.","S.","K.","J."],"identifier":"5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","incomingCitationCount":1,"keyword":["Environmental risk","Vegetation Condition Index ","VCI","Normalised Difference Vegetation Index","NVDI","moderate-resolution imaging spectroradiometer","MODIS","Land Surface Temperature","LST","Temperature Condition Index ","TCI","DrIVER","NUTS","crops","shrubs","monitoring and early warning system","Nomenclature of Territorial Units for Statistics","Nomenclature des unités territoriales statistiques","drought","grass","forest","land cover","land use"],"keywordsOther":["Vegetation Condition Index ","VCI","Normalised Difference Vegetation Index","NVDI","moderate-resolution imaging spectroradiometer","MODIS","Land Surface Temperature","LST","Temperature Condition Index ","TCI","DrIVER","NUTS","crops","shrubs","monitoring and early warning system","Nomenclature of Territorial Units for Statistics","Nomenclature des unités territoriales statistiques","drought","grass","forest","land cover","land use"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Time series for three drought indicators based on remote sensing have been extracted for European NUTS regions (level 0, 1, 2 and 3). The Nomenclature of Territorial Units for Statistics, (NUTS, for the French Nomenclature des unités territoriales statistiques), developed by the European Union, is a geocode standard for referencing the administrative divisions of countries for statistical purposes. A land use mask was applied to extract the time series, to differentiate the contribution of crops, grass, forest and shrubs. There is also one time series for each NUTS region which includes all classes. The land cover product used to produce the mask was remote sensing MODIS product MCD12C1 (year 2012) which has a 0.05 degree resolution. The three drought indicators extracted are (i) the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index) (ii) the Temperature Condition Index based on remotely sensed LST (Land Surface Temperature) and (iii) the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These indicators were first calculated as a gridded product for Europe with a 0.05 degree resolution and monthly time step (2000-2015), using MODIS product MOD13C2 for NDVI, and MODIS product MOD11C3 for LST, following methodology described by Kogan (1995; https://doi.org/10.1016/0273-1177(95)00079-T). The time series were then extracted applying the simplified land use classification mask (crops, forest, grass, shrubs) to each NUTS region, and an additional time series for all classes. For each time step, a value was produced only if at least 50% of the pixels within the non-masked area had valid values.\n\nNOTE: there are two types of \"No Data\" value. Value '--' means there were no pixels with valid values within the non-masked area. Value 'nan' means there were some pixels with valid values within the non-masked area, but these covered less than 50% of the area. These time steps were discarded as less than 50% was considered not representative enough of the whole area.\n","locations":["POLYGON((-15 30, -15 75, 45 75, 45 30, -15 30))"],"metadataDate":"2026-07-24T23:09:00.000Z","orcid":["0000-0002-1516-6834","0000-0002-5256-3310"],"organisation":["Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","doi:10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0245cg223","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has…","state":"published","temporalExtentText":"Data collected from 2000 to 2015","title":"Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015)","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Nottingham","US Forest Service","Colorado State University","Washington State University"],"authorFamilyName":["Dugdale","Field","Flitcroft","Hinshaw","Johnson","Mariani","Moffet","Quinn","Pugh","Renan","Schrodt","Thorne"],"authorFullName":["Dugdale, S.J.","Field, R.","Flitcroft, R.","Hinshaw, S.","Johnson, M.","Mariani, M.","Moffet, K.","Quinn, D.","Pugh, B.","Renan, L.","Schrodt, F.","Thorne, C."],"authorGivenName":["S.J.","R.","S.","M.","K.","D.","B.","L.","F.","C."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Soil data comprises sample depth, moisture content, % sand/silt/clay, texture, and various nitrate/nitrite/carbon metrics. These data were collected from the South Fork McKenzie River, Oregon, USA in July 2020, February 2021 and June 2021 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 soil response to wildfire in the restored vs. unrestored river reaches.\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 grant NE/V021443/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Dugdale","Field","Flitcroft","Hinshaw","Johnson","Mariani","Moffet","Quinn","Pugh","Renan","Schrodt","Thorne"],"fullName":["Dugdale, S.J.","Field, R.","Flitcroft, R.","Hinshaw, S.","Johnson, M.","Mariani, M.","Moffet, K.","Quinn, D.","Pugh, B.","Renan, L.","Schrodt, F.","Thorne, C."],"funder":["Natural Environment Research Council"],"givenName":["S.J.","R.","S.","M.","K.","D.","B.","L.","F.","C."],"grant":["NE/V021443/1"],"identifier":"d69e854a-f01d-4d5e-8819-219053e8d00c","incomingCitationCount":0,"keyword":["South fork mckenzie","Stage zero","Wildfire","soil","fire","restoration","river"],"keywordsOther":["South fork mckenzie","Stage zero","Wildfire","soil","fire","restoration","river"],"licence":"Open government licence","lineage":"Soil data collected at a range of transects across the South Fork McKenzie River (and Horse Creek reference site) using a T-bar sampling probe at three depths (0-30 cm, 30-60 cm, 60-90 cm). Soil samples subsequently processed by Ward Lab (www.wardlab.com) for carbon, nitrogen and grain size analysis. ","locations":["POLYGON((-122.29 44.13, -122.29 44.16, -122.23 44.16, -122.23 44.13, -122.29 44.13))"],"metadataDate":"2026-07-25T14:20:39.000Z","organisation":["University of Nottingham","US Forest Service","Colorado State University","Washington State University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d69e854a-f01d-4d5e-8819-219053e8d00c","10.5285/d69e854a-f01d-4d5e-8819-219053e8d00c","doi:10.5285/d69e854a-f01d-4d5e-8819-219053e8d00c"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Soil data comprises sample depth, moisture content, % sand/silt/clay, texture, and various nitrate/nitrite/carbon metrics. These data were collected from the South Fork McKenzie River, Oregon, USA in July 2020, February 2021 and June 2021 following the Holiday Farm…","state":"published","temporalExtentText":"Data collected from 2020 to 2022","title":"Soil data from the South Fork McKenzie River in Oregon, USA before and after a wildfire event, 2020 to 2022","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University"],"authorFamilyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley"],"authorFullName":["Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S."],"authorGivenName":["E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S."],"authorOrcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020","0000-0002-5757-7420"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains nutrient data from soils and microbial biomass in soils from an experiment based at Winklebury Hill, UK. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley"],"fullName":["Fry, E.","Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S."],"givenName":["E.","E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","Ellen"],"identifier":"5012d5c1-da82-4773-b286-01222595a8c8","incomingCitationCount":0,"keyword":["Wessex BESS","total carbon","bulk density","mineralisation","dissolved organic carbon","ammonium","nitrate","total nitrogen","dissolved organic nitrogen"],"keywordsOther":["total carbon","bulk density","mineralisation","dissolved organic carbon","ammonium","nitrate","total nitrogen","dissolved organic nitrogen"],"keywordsProject":["Wessex BESS"],"licence":"Open government licence","lineage":"Ammonium, nitrate and total nitrogen were measured using a Seal Analytical AA3 autoanalyser with UV digester, running 5% analytical replicates, recalibration (at 5, 4, 3, 2 and 1 ppm) and blanks every 20 samples. Carbon was measured using a Shimadzu TOC analyser, running 5% analytical replicates and blanks every 20 samples. Extracts were adjusted for soil moisture. Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.","locations":["POLYGON((-2.08 50.986, -2.08 50.998, -2.063 50.998, -2.063 50.986, -2.08 50.986))"],"metadataDate":"2026-07-24T23:02:44.000Z","orcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020","0000-0002-5757-7420"],"organisation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-01-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5012d5c1-da82-4773-b286-01222595a8c8","10.5285/5012d5c1-da82-4773-b286-01222595a8c8","doi:10.5285/5012d5c1-da82-4773-b286-01222595a8c8"],"resourceType":"Dataset","ror":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains nutrient data from soils and microbial biomass in soils from an experiment based at Winklebury Hill, UK. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Soil nutrient data from Winklebury Hill, UK, in 2014","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg"],"authorFamilyName":["Ladd","Banerjee","Balke","Chanda","Ghosh"],"authorFullName":["Ladd, C.","Banerjee, S.","Balke, T.","Chanda, A.","Ghosh, T."],"authorGivenName":["Cai","Sumana","Thosten","Abhra","Tuhin"],"authorOrcid":["0000-0001-5437-6474","0000-0002-1009-8123","0000-0001-7733-5069","0000-0002-3280-1959","0000-0002-3466-867X"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom mounted floats). Wave heights and energy were measured using RBRSolo3 D | wave sensors. Water depth in front of embankments were measured using a Garmin Aquamap device. Sediment properties were also gathered at each hydrodynamic sensor deployment. The purpose of the survey was to determine the level of hydrological forcing around the island, to provide guidance on coastal flood and erosion protection planning.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Banerjee","Balke","Chanda","Ghosh"],"fullName":["Ladd, C.","Banerjee, S.","Balke, T.","Chanda, A.","Ghosh, T.","Cai Ladd"],"funder":["Natural Environment Research Council"],"givenName":["Cai","Sumana","Thosten","Abhra","Tuhin"],"grant":["NE/S008926/1"],"identifier":"19dd0d35-c109-481f-bd24-2e27da5fdccb","incomingCitationCount":0,"keyword":["Hydrology","Environmental survey","Modelling","Hydrodynamics","Embankments","Ganges Brahmaputra Meghna Delta","India","Coastal flooding","Coastal erosion"],"keywordsOther":["Hydrodynamics","Embankments","Ganges Brahmaputra Meghna Delta","India","Coastal flooding","Coastal erosion"],"keywordsTheme":["Hydrology","Environmental survey","Modelling"],"licence":"Open government licence","lineage":"Data to assess erosion and flood risk along Kumirmari island, Indian GBM delta, was gathered at eastern (22°12′43″N , 088°57′20″E), southern (22°10′40″N , 088°55′55″E), and western (22°12′15″N , 088°54′50″E) sites.\n\nAcceleration\nB4+ Mini Buoys were deployed at the base of embankments and at the bottom of fronting intertidal habitat. Each logger sampled y-axis acceleration at 1 Hz. Unfortunately, some Mini Buoys were lost during deployment.\n\nWave parameters\nAn RBRSolo3 D | wave sensor was deployed at the bottom of fronting intertidal habitat at each site along Kumirmari. Height of the RBRSolo pressure sensor above the bed was 4-5 cm. Velocities were recorded at a rate of 16 Hz in 17-minute bursts continuously. Atmospheric pressure, water density, sensor altitude (height), temperature, conductivity, salinity, and the specific conductivity coefficient were set to 10.1325 dbar, 1.0281 Mg/m³, 0.1 m, 0°C, 42.9140 mS/cm, 35 g/kg, and 0 respectively. 'Wave' default settings were used.\n\nWater depth\nA Garmin Aquamap 100S mounted to a boat measured channel depths at regular intervals along southern and western locations using a Garmin sounder module and transducer. No data was gathered at the eastern location due to poor weather. \n\nSoil parameters\nSoil organic matter content, conductivity (diluted in deionised water at a soil-water ratio of 1:2.5) at 25°C, moisture content, bulk density, and grain size (classified as percentage of sand, silt, and clay) were measured using IS 2720 (part 22), IS 14767, IS 2720 (part 2), IS 2720 (part 8), sieving standards respectively.\n\nCoordinates\nCoordinates were taken using Google Maps on an iPhone 13 Mini. Coordinates are expressed in WGS84 standard.\nMean and standard deviation in acceleration were calculated across 1- and 10-minute moving windows respectively. These were then used to assign inundation status (emersed (N), partially inundated (P), or fully submerged (F)) using a calibrated Quadratic Discriminant Analysis model, and current and wave orbital velocities from calibration curves (Ladd et al. 2024). Soil conductivity was converted to salinity using the 'ec2pss' package in R.\n\nNo processing was done to the wave parameter, water depth, or coordinate data.","locations":["POLYGON((87.88 21.433, 87.88 22.999, 89.099 22.999, 89.099 21.433, 87.88 21.433))"],"metadataDate":"2026-07-24T19:14:39.000Z","orcid":["0000-0001-5437-6474","0000-0002-1009-8123","0000-0001-7733-5069","0000-0002-3280-1959","0000-0002-3466-867X"],"organisation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/19dd0d35-c109-481f-bd24-2e27da5fdccb","10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb","doi:10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91","https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom…","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration."],"temporalExtentText":"Data collected from 2022 to 2022","title":"Hydrodynamic data from embankment edges of Kumirmari island, Indian Ganges-Brahmaputra-Meghna (GBM) Delta, July-August 2022","topic":["0/Hydrology/","0/Environmental survey/","0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Glasgow","University of St Andrews","University of York ","University of York","UK Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Ladd","Miller","McMahon","Havelock","Smeaton","Garbutt","Skov","Austin"],"authorFullName":["Ladd, C.J.T.","Miller, L.C.","McMahon, L.","Havelock, G.M.","Smeaton, C.","Garbutt, A.","Skov, M.W.","Austin, W.E.N."],"authorGivenName":["C.J.T.","L.C.","L.","G.M.","C.","A.","M.W.","W.E.N."],"authorOrcid":["0000-0001-5437-6474","0000-0003-2876-4312","0000-0003-0199-7108","0000-0001-5862-1596","0000-0003-4535-2555","0000-0002-9145-9786","0000-0002-7204-3865","0000-0001-6544-3468"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/02wn5qz54","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to develop an understanding the linkages between saltmarsh soil organic carbon and vegetation. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The dataset comprises of percentage species cover, plant height, plant richness and plant diversity data from 33 UK saltmarshes.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Miller","McMahon","Havelock","Smeaton","Garbutt","Skov","Austin"],"fullName":["Ladd, C.J.T.","Miller, L.C.","McMahon, L.","Havelock, G.M.","Smeaton, C.","Garbutt, A.","Skov, M.W.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.J.T.","L.C.","L.","G.M.","C.","A.","M.W.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"7815291a-ee3e-49a7-8ef1-e8baa81f4964","incomingCitationCount":0,"keyword":["United Kingdom","plant","richness carbon","C-SIDE","substrate","Scotland","England","Wales","coastal ecosystem","wetland","blue carbon","sediment","salt marsh","organic matter","organic carbon","vegetation","biological diversity"],"keywordsOther":["United Kingdom","plant","richness carbon","C-SIDE","substrate","Scotland","England","Wales","coastal ecosystem","wetland","blue carbon","sediment","salt marsh","organic matter","organic carbon","vegetation","biological diversity"],"licence":"Open government licence","lineage":"Across 33 UK saltmarshes 460 vegetation surveys were undertaken using 1m x 1m quadrats. The location of each quadrat was recorded using Differential Global Positioning System (DGPS). Within each quadrat percentage cover of each plant species was estimated by eye. Plant height was measured at 10 random points within each quadrat. The mean plant height and standard deviation for each quadrat was calculated and reported.  Plant species richness was recorded as the number of species present per quadrat and plant diversity was estimated using the Shannon-Wiener Index. Vegetation data were recorded in the field and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:54:22.000Z","orcid":["0000-0001-5437-6474","0000-0003-2876-4312","0000-0003-0199-7108","0000-0001-5862-1596","0000-0003-4535-2555","0000-0002-9145-9786","0000-0002-7204-3865","0000-0001-6544-3468"],"organisation":["University of Glasgow","University of St Andrews","University of York ","University of York","UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-07-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7815291a-ee3e-49a7-8ef1-e8baa81f4964","10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964","doi:10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/00vtgdb53","https://ror.org/02wn5qz54","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE)…","state":"published","temporalExtentText":"Data collected from 2018 to 2021","title":"Vegetation composition data from UK saltmarshes, 2018 to 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Bath"],"authorFamilyName":["Kasprzyk-Hordern","Castrignano","Feil","Lewis"],"authorFullName":["Kasprzyk-Hordern, B.","Castrignano, E.","Feil, E.","Lewis, S."],"authorGivenName":["Barbara","E.","S."],"authorOrcid":["0000-0002-6809-2875","0000-0002-5555-9894","0000-0003-1446-6744","0000-0003-4555-4907"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Prevalence of quinolone qnrS resistance gene in the aquatic environment from the Avon river catchment area receiving treated wastewater from 5 wastewater treatment plants (WWTPs), serving 1.5 million people and accounting for 75% of inhabitants living in the catchment area in the South West of England.\n\nFunded by NERC Grant NE/N019261/1","documentType":"GEMINI_DOCUMENT","familyName":["Kasprzyk-Hordern","Castrignano","Feil","Lewis"],"fullName":["Kasprzyk-Hordern, B.","Castrignano, E.","Feil, E.","Lewis, S."],"funder":["Natural Environment Research Council"],"givenName":["Barbara","E.","S."],"grant":["NE/N019261/1"],"identifier":"102f8141-2a9a-4ffd-89f6-961af36ddcb3","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","resistance (biological)","antibiotic","waste water"],"keywordsOther":["resistance (biological)","antibiotic","waste water"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Wastewater influent and effluent were collected for 7 consecutive days running from Wednesday to Tuesday between June and October 2015 from five major WWTPs contributing to one river catchment in the South-West UK.\n\nMeasurements of qnrS gene quantification using made using dPCR (Digital PCR). See supporting documentation for further details.","locations":["POLYGON((-2.651 51.271, -2.651 51.528, -2.097 51.528, -2.097 51.271, -2.651 51.271))"],"metadataDate":"2026-07-24T19:20:57.000Z","orcid":["0000-0002-6809-2875","0000-0002-5555-9894","0000-0003-1446-6744","0000-0003-4555-4907"],"organisation":["University of Bath","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/102f8141-2a9a-4ffd-89f6-961af36ddcb3","10.5285/102f8141-2a9a-4ffd-89f6-961af36ddcb3","doi:10.5285/102f8141-2a9a-4ffd-89f6-961af36ddcb3"],"resourceType":"Dataset","ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"Prevalence of quinolone qnrS resistance gene in the aquatic environment from the Avon river catchment area receiving treated wastewater from 5 wastewater treatment plants (WWTPs), serving 1.5 million people and accounting for 75% of inhabitants living in the catchment…","state":"published","supplementalDescription":["Castrignanò, E., Kannan, A.M., Proctor, K., Petrie, B., Hodgen, S., Feil, E.J., Lewis, S.E., Lopardo, L., Camacho-Muñoz, D., Rice, J., Cartwright, N., Barden, R., & Kasprzyk-Hordern, B. (2020). (Fluoro)quinolones and quinolone resistance genes in the aquatic environment: A river catchment perspective. Water Research, 182, 116015."],"temporalExtentText":"Data collected from 2015 to 2015","title":"Concentrations of antibiotic resistance genes in wastewater and receiving waters following water treatment in SW England, June-October, 2015","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=5&facet=availability%7CAvailable"}