{"numFound":2293,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2","results":[{"publicationDate":"2024-01-30T00:00:00.000+00:00","authorAffiliation":["University of Exeter","University of Kent","Universitas Gadjah Mada","University of Palangka Raya","Yayasan Borneo Nature Indonesia","University of Oxford","University of Wales Aberystwyth","Oxford Brookes University","Centre College","Borneo Nature Foundation International","Universitas Nasional","Universitas Indonesia","University of Leicester"],"authorGivenName":["M.E.","N.J.","M.A.","D.","H.A.","J.","N.C.","S.M.","W.","B.","K.A.","I.P.","K.","H.C.","A.","S.A.","M.J."],"authorFamilyName":["Harrison","Deere","Imron","Nasir","Asti","Aragay Soler","Boyd","Cheyne","Healy","Holly","Jeffers","Kulu","Kusin","Marchant","Morrogh-Bernard","Purwanto","Ripoll Capilla","Sugardjito","Supriatna","Thornton","Struebig"],"authorFullName":["Harrison, M.E.","Deere, N.J.","Imron, M.A.","Nasir, D.","Adul","Asti, H.A.","Aragay Soler, J.","Boyd, N.C.","Cheyne, S.M.","Healy, W.","Hendri","Holly, B.","Iwan","Jeffers, K.A.","Kulu, I.P.","Kusin, K.","Marchant, N.C.","Morrogh-Bernard, H.C.","Purwanto, A.","Ripoll Capilla, B.","Santiano","Sugardjito, J.","Supriatna, J.","Thornton, S.A.","Yulintine","Struebig, M.J."],"authorOrcid":["https://orcid.org/0000-0002-0729-8407","https://orcid.org/0000-0003-1299-2126","https://orcid.org/0000-0003-2371-7795","https://orcid.org/0009-0001-0626-1127","https://orcid.org/0000-0002-9180-3356","https://orcid.org/0000-0002-4549-816X","https://orcid.org/0000-0001-6019-0828","https://orcid.org/0000-0002-2913-9204","https://orcid.org/0000-0001-9850-8395","https://orcid.org/0000-0003-4497-7625","https://orcid.org/0000-0001-6294-0952","https://orcid.org/0000-0003-2058-8502"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00xkeyj56","https://ror.org/03ke6d638","https://ror.org/045n0ms44","https://ror.org/052gg0110","https://ror.org/015m2p889","https://ror.org/04v2twj65","https://ror.org/00fn3pa80","https://ror.org/0116zj450","https://ror.org/04h699437"],"catalogue":"eidc","description":"Datasets consist of monitoring data on ecosystem properties (17 variables) and biodiversity (21 variables), collected between 2003 and 2019 from the tropical peatland of the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central Kalimantan, Indonesia. The dataset includes 23 data files. These data files represent results from comparisons of ecosystem property and biodiversity variables over space between new burn, old burn and unburned forest conditions, including: \n  (a) effect sizes resulting from a hierarchical mixed effects meta-analysis; and\n  (b) proportional changes resulting from a generalized linear mixed-effects model. \n\nThey also include datasets relating to variability ecosystem property and biodiversity variables over time in relation to fire incidence within the wider landscape, including\n  (c) time-series data for ecosystem properties aggregated by site and season, and occupancy detection matrices biodiversity for biodiversity variables; and\n  (d) species richness and abundance estimates aggregated at the site level.","documentType":"GEMINI_DOCUMENT","funder":["The Orangutan Project","Arcus Foundation","Darwin Initiative","Save the Orangutan","Orangutan Land Trust","US Fish and Wildlife Service Great Apes Conservation Fund","Ocean Parks Foundation Hong Kong","Panthera","The Clouded Leopard Project/Point Defiance Zoo and Aquarium","Orangutan Outreach","Orangutan Appeal UK","Natural Environment Research Council","Leverhulme Research Leadership Award","Universitas Gadjah Mada "],"grant":["NE/T010401/1","RL-2019-054","1525/UN1/DITLIT/Dit-Lit/PT.01.05/2022"],"identifier":"24e8e9c6-f9fa-4758-951f-9160bb0dde6e","incomingCitationCount":0,"givenName":["M.E.","N.J.","M.A.","D.","H.A.","J.","N.C.","S.M.","W.","B.","K.A.","I.P.","K.","H.C.","A.","S.A.","M.J."],"familyName":["Harrison","Deere","Imron","Nasir","Asti","Aragay Soler","Boyd","Cheyne","Healy","Holly","Jeffers","Kulu","Kusin","Marchant","Morrogh-Bernard","Purwanto","Ripoll Capilla","Sugardjito","Supriatna","Thornton","Struebig"],"fullName":["Harrison, M.E.","Deere, N.J.","Imron, M.A.","Nasir, D.","Adul","Asti, H.A.","Aragay Soler, J.","Boyd, N.C.","Cheyne, S.M.","Healy, W.","Hendri","Holly, B.","Iwan","Jeffers, K.A.","Kulu, I.P.","Kusin, K.","Marchant, N.C.","Morrogh-Bernard, H.C.","Purwanto, A.","Ripoll Capilla, B.","Santiano","Sugardjito, J.","Supriatna, J.","Thornton, S.A.","Yulintine","Struebig, M.J."],"keyword":["Central Kalimantan"," Indonesia","Borneo","Sebangau National Park","Biodiversity","biodiversity","occupancy","time series","ecosystem dynamics","restoration","tropical peat-swamp forest","wildfire","fire"],"keywordsPlace":["Central Kalimantan"," Indonesia","Borneo","Sebangau National Park"],"keywordsTheme":["Biodiversity"],"keywordsOther":["biodiversity","occupancy","time series","ecosystem dynamics","restoration","tropical peat-swamp forest","wildfire","fire"],"licence":"Open government licence","lineage":"Data were collected from the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central Kalimantan, Indonesia. A long history of research here has enabled compilation of 16 years of data on ecosystem properties (17 variables) and biodiversity (21 variables). The site is an ombrogenous, non-masting peat-swamp forest, which experienced selective logging over a ~40 year period by timber concessions until 1997 and illegal hand-loggers until 2004. This past illegal logging was associated with creation of numerous small canals, causing peat drainage and making the peatland vulnerable to fire during the dry season. Parts of the forest have therefore burned intermittently, creating a mosaic of predominantly unburned forest interspersed with areas burned at different times. The forest is also subject to indirect impacts of fire within the wider landscape, in particular through haze exposure. This context has thus enabled assessment of direct impacts through spatial comparison of ecosystem properties and biodiversity in areas with different fire history (new burn, old burn and unburned forest), plus temporal assessments of the indirect impacts of fire incidence within the wider landscape on ecosystem properties and biodiversity in unburned forest areas. \n\nRegarding the spatial comparison, data were collected for 27 ecological components across 181 sampling locations between April 2017 and September 2021. These locations represent areas affected by a recent major burn event in 2015 (“new burn”; N=72), those recovering from fires up to and including 2006 (“old burn”; N=27), and from forest areas with no history of fire (“unburned”; N=82). Data on the following variables were collected from each of the three (or in some cases two) different fire treatments: ecosystem properties, including microclimate (temperature), vegetation (canopy/fern/grass cover, density of pitcher plants/large Pandanaceae plants/lianas/seedlings/saplings/trees) and forest structure (tree height, aboveground live biomass); and biodiversity, including species richness and abundance for trees, Odonata (split into Anisoptera and Zygoptera), fruit-feeding butterflies (Lepidoptera: Papilionoidea), amphibians, reptiles and avian-focused soundscape indices (Bioacoustic Index, Acoustic Complexity Index, Acoustic Diversity Index and Normalised Difference Soundscape Index). These spatial datasets comparing new burn, old burn and unburned forest treatments are represented as both effect sizes resulting from a hierarchical mixed effects meta-analysis and proportional changes resulting from a generalized linear mixed-effects model.\n\nRegarding the temporal assessments, ecological time-series datasets were collected over 16-year period data (September 2003-December 2019), thus capturing variations in annual fire regimes typical of the region. All temporal data collection periods included at least two megafire events. The datasets encompassed 578 temporally-replicated surveys across 236 sampling locations for nine ecological components (range: 15-173 survey months per sample location). Time-series data were collected on the following variables: ecosystem properties, including river pH, forest productivity (leaf-fall), tree leaf flush and reproductive phenology, fruit-feeding butterflies (Lepidoptera: Papilionoidea), river fish, ground-dwelling birds and medium-large mammals. For ecosystem properties, these temporal datasets are represented as time-series data aggregated by site and season, and for biodiversity as occupancy detection matrices.\n\nThe accuracy of data collection was ensured through comprehensive observer training, including regular refresher training, plus maintaining consistency of data collection personnel throughout data collection periods. All data files were screened for potential outliers, typographical errors and missing data, which were resolved with the help of relevant field team members. Sound file spectrograms were scanned visually to identify potential disruptions that dominated the sound profile and may skew the acoustic indices (e.g., heavy rain), with disrupted files subsequently excluded from the analyses. Species identification protocols for biodiversity data from different taxonomic groups follow those used previously at the site, supported by use of locally-relevant identification guides and consultation with external experts. All analyses conducted were specified within a Bayesian framework, implemented in rstan (hierarchical mixed-effects meta-analysis) and JAGS (all GLMMs and occupancy models) called through R version 4.0.2. ","locations":["POLYGON((113.811 -2.434, 113.811 -2.29, 114.003 -2.29, 114.003 -2.434, 113.811 -2.434))"],"orcid":["https://orcid.org/0000-0002-0729-8407","https://orcid.org/0000-0003-1299-2126","https://orcid.org/0000-0003-2371-7795","https://orcid.org/0009-0001-0626-1127","https://orcid.org/0000-0002-9180-3356","https://orcid.org/0000-0002-4549-816X","https://orcid.org/0000-0001-6019-0828","https://orcid.org/0000-0002-2913-9204","https://orcid.org/0000-0001-9850-8395","https://orcid.org/0000-0003-4497-7625","https://orcid.org/0000-0001-6294-0952","https://orcid.org/0000-0003-2058-8502"],"organisation":["University of Exeter","University of Kent","Universitas Gadjah Mada","University of Palangka Raya","Yayasan Borneo Nature Indonesia","University of Oxford","University of Wales Aberystwyth","Oxford Brookes University","Centre College","Borneo Nature Foundation International","Universitas Nasional","Universitas Indonesia","University of Leicester","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/24e8e9c6-f9fa-4758-951f-9160bb0dde6e","10.5285/24e8e9c6-f9fa-4758-951f-9160bb0dde6e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter","Yayasan Borneo Nature Indonesia","University of Palangka Raya","Universitas Gadjah Mada","Oxford Brookes University","Universitas Nasional","Universitas Indonesia","University of Leicester","University of Kent"],"ror":["https://ror.org/03yghzc09","https://ror.org/00xkeyj56","https://ror.org/03ke6d638","https://ror.org/045n0ms44","https://ror.org/052gg0110","https://ror.org/015m2p889","https://ror.org/04v2twj65","https://ror.org/00fn3pa80","https://ror.org/0116zj450","https://ror.org/04h699437","https://ror.org/04xw4m193"],"state":"published","title":"Spatio-temporal variability in ecosystem properties and biodiversity in relation to fire in Sebangau National Park, Central Kalimantan, Indonesia, 2003-2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","elsdhi"],"shortenedDescription":"Datasets consist of monitoring data on ecosystem properties (17 variables) and biodiversity (21 variables), collected between 2003 and 2019 from the tropical peatland of the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central..."},{"publicationDate":"2022-05-03T00:00:00.000+00:00","authorAffiliation":["Addingham Environment Group","University College London"],"authorGivenName":["Malcolm","Rick W."],"authorFamilyName":["Secrett","Battarbee"],"authorFullName":["Secrett, M.","Battarbee, R.W."],"authorOrcid":["https://orcid.org/0000-0003-3963-6228"],"authorRor":["https://ror.org/02jx3x895"],"catalogue":"eidc","description":"This dataset contains faecal bacteria data (mainly E. coli but also some Intestinal enterococci) for the River Wharfe and its tributaries in Yorkshire. They were collected and analysed as part of citizen science projects (termed the Ashlands and iWharfe projects) designed to assess the extent to which the river is contaminated by sewage effluent and capable of meeting national bathing water standards.  In the Ashlands project, samples were taken upstream and downstream of the Sewage Treatment Works in Ilkley. The data were used in a successful application by the Ilkley Clean River Group for the river in Ilkley to be designated as a bathing water, the first running water site so designated in the UK.  The iWharfe data are from samples collected on two occasions (2020 and 2021) at sites along the full length of the river and selected tributaries and show in particular the level of faecal bacteria contamination at recreational sites along the river. Overall, the data show not only the importance of sewage effluent in causing high concentrations of faecal bacteria in the river but also the role of agricultural sources presumed to be from farm livestock.","documentType":"GEMINI_DOCUMENT","funder":["River Trust","Yorkshire Water","Ilkley town council","Wetherby Town Council","Yorkshire Dales Rivers Trust"],"identifier":"a8f553c0-8fff-4b23-9461-fd59d0fd2ed3","incomingCitationCount":0,"givenName":["Malcolm","Rick W."],"familyName":["Secrett","Battarbee"],"fullName":["Secrett, M.","Battarbee, R.W."],"keyword":["Yorkshire Dales","Ilkley","River Wharfe","Water quality","E. coli","intestinal enterococci","citizen science","bathing water"],"keywordsPlace":["Yorkshire Dales","Ilkley","River Wharfe"],"keywordsTheme":["Water quality"],"keywordsOther":["E. coli","intestinal enterococci","citizen science","bathing water"],"licence":"Open government licence","lineage":"Samples were collected in sterile bottles by trained volunteers, kept in cool bags during transport, delivered to an ALS Ltd collection point in Wakefield and thence to ALS Ltd, an accredited laboratory, in Coventry for analysis.  Samples were analysed using standard methods within 24 hours of collection.  Data were quality controlled by ALS before release.  All data collected and analysed in this way have been collated and included in this data-set. ","locations":["POLYGON((-1.992 53.355, -1.992 54.963, -0.143 54.963, -0.143 53.355, -1.992 53.355))"],"orcid":["https://orcid.org/0000-0003-3963-6228"],"organisation":["Addingham Environment Group","University College London","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a8f553c0-8fff-4b23-9461-fd59d0fd2ed3","10.5285/a8f553c0-8fff-4b23-9461-fd59d0fd2ed3"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University College London","Addingham Environment Group"],"ror":["https://ror.org/02jx3x895","https://ror.org/04xw4m193"],"state":"published","supplementalName":["The Wharfe website","iWharfe information"],"title":"Faecal bacteria concentration in the River Wharfe from 2019 to 2021","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains faecal bacteria data (mainly E. coli but also some Intestinal enterococci) for the River Wharfe and its tributaries in Yorkshire. They were collected and analysed as part of citizen science projects (termed the Ashlands and iWharfe projects) designed..."},{"publicationDate":"2019-03-04T00:00:00.000+00:00","authorAffiliation":["University of Leeds"],"authorGivenName":["R. ","A.","C."],"authorFamilyName":["Williams","Dunn","Quinn","Hassall"],"authorFullName":["Williams, R.","Dunn, A.","Quinn, C.","Hassall, C."],"authorOrcid":["https://orcid.org/0000-0003-3706-4510","https://orcid.org/0000-0002-4855-1077","https://orcid.org/0000-0002-2085-0446","https://orcid.org/0000-0002-3510-0728"],"authorRor":["https://ror.org/024mrxd33"],"catalogue":"eidc","description":"This dataset contains response data from Q sort exercises investigating attitudes towards non-native lizards in the UK conducted in 2017-18.\n\nData have been collected using standard Q method techniques for combined qualitative and quantitative investigation into subjective viewpoints surrounding a research topic. The data provided are the final Q sort arrangements obtained from participants and provide the basis for further factor analysis.","documentType":"GEMINI_DOCUMENT","identifier":"a9c314d8-8a87-4992-9677-d9705c380f10","incomingCitationCount":0,"givenName":["Robert","R. ","A.","C."],"familyName":["Williams","Dunn","Quinn","Hassall"],"fullName":["Williams, R.","Dunn, A.","Quinn, C.","Hassall, C."],"keyword":["Invasive species","Invasive non-native species","wall lizard","Q methodology"],"keywordsTheme":["Invasive species"],"keywordsOther":["Invasive non-native species","wall lizard","Q methodology"],"licence":"Open government licence","lineage":"The Q set was developed from statements generated from several sources in direct response to (or pertaining to) the open question of ‘Do you have any thoughts or feelings about the presence of wall lizards in the UK?’ \n\nA total of 128 statements were collected, at which point no further original opinion/sentiment was found. A review process to fine tune the final Q set (in terms of reduction in number of statements and maintenance of plain language) was then undertaken. This revision process resulted in the construction of a final Q set consisting of 76 statements that provided a comprehensive and balanced coverage of the study topic.\n\nTwenty-six participants across seven stakeholder groups took part in the Q sorts in the summer of 2017.  The Q sort was administered either in person or online. ","orcid":["https://orcid.org/0000-0003-3706-4510","https://orcid.org/0000-0002-4855-1077","https://orcid.org/0000-0002-2085-0446","https://orcid.org/0000-0002-3510-0728"],"organisation":["University of Leeds","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a9c314d8-8a87-4992-9677-d9705c380f10","10.5285/a9c314d8-8a87-4992-9677-d9705c380f10"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","title":"Q sort response data on stakeholder discourse and opinion towards a non-native lizard species (Podarcis muralis)","topic":["0/Invasive species/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset contains response data from Q sort exercises investigating attitudes towards non-native lizards in the UK conducted in 2017-18.\n\nData have been collected using standard Q method techniques for combined qualitative and quantitative investigation into subjective..."},{"publicationDate":"2017-07-19T00:00:00.000+00:00","authorAffiliation":["Cardiff University"],"authorGivenName":["I.M.","H.B.","M.C.","N.","K.","L","D.","M.","S.","C.","A.","I.","A.J."],"authorFamilyName":["Russo","Feeley","Pye","Razi","Sworn","Chrimes","Edwards","Nicholls","Johnston ","James","Williams","Durance","Weightman"],"authorFullName":["Russo, I.M.","Feeley, H.B.","Pye, M.C.","Razi, N.","Sworn, K.","Chrimes, L.","Edwards, D.","Nicholls, M.","Johnston , S.","James, C.","Williams, A.","Durance, I.","Weightman, A.J."],"authorOrcid":["https://orcid.org/0000-0001-9504-3633","https://orcid.org/0000-0003-0386-0586","https://orcid.org/0000-0002-3806-3416","https://orcid.org/0000-0002-4138-3349"],"authorRor":["https://ror.org/03kk7td41"],"catalogue":"eidc","description":"These data consist of raw 16S rRNA gene sequences for the bacterial communities in three upland Welsh river sites under different treatments. A mapping file with metadata for each sample is provided and a operational taxonomic unit (OTU) table. These sites were situated in three streams from the Llyn Brianne Stream Observatory, Powys, Wales, UK (52°08' N, 3°45' W). The catchments cover approximately 300 square kilometres of upland Wales in the upper Afon Tywi. These first to third order experimental streams rise in either rough, sheep-grazed moorland (named as L6 and L7) or plantations of Sitka spruce Picea sitchensis with lodgepole pine Pinus contorta (named as L3). Some reductions of forest cover have occurred in L3 with normal logging operations. A 24-hour experiment was conducted at the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) cascading flumes at these streams during September 2014. Each flume consisted of 3 channels, each assigned a different treatment: control, sugar addition and peat addition. Sugar (sucrose) and peat were added to channels to represent a simple and complex form of dissolved organic carbon (DOC) respectively. Five biofilm samples were collected from random locations in each experimental channel. Samples were taken at 0.5, 3, 15 and 24 hours after the start of the experiment. Epilithon were taken from unglazed ceramic tiles that had been colonised by epilithon in the river. After amplification, the 16S rRNA fragments were sequenced on the Illumina MiSeq next generation sequencing platform.\n\nThe main goal of this survey was to characterise bacterial diversity, the chemical and biological consequences of elevated DOC inputs, and to investigate the role of bacterial organisms in controlling organic carbon flux. Prof Andy Weightman and Dr Isabelle Durance were responsible for organising the experiments. Sampling was carried out by Dr. Isa-Rita Russo and a team of Post Doctoral Research Assistants (PDRA's)/students. The work was carried out under the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/J014818/1"],"identifier":"df829b9f-c4c5-4e53-9217-c9c1e5bd078d","incomingCitationCount":0,"givenName":["Isa-Rita M ","I.M.","H.B.","M.C.","N.","K.","L","D.","M.","S.","C.","A.","I.","A.J."],"familyName":["Russo","Feeley","Pye","Razi","Sworn","Chrimes","Edwards","Nicholls","Johnston ","James","Williams","Durance","Weightman"],"fullName":["Russo, I.M.","Feeley, H.B.","Pye, M.C.","Razi, N.","Sworn, K.","Chrimes, L.","Edwards, D.","Nicholls, M.","Johnston , S.","James, C.","Williams, A.","Durance, I.","Weightman, A.J."],"keyword":["Flumes","Wales","Llyn Brianne","Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS)","Sugar","Control","freshwater bacterial biofilm communities","lake","peat","ecosystem resilience","dissolved organic carbon","biological diversity"],"keywordsInstrument":["Flumes"],"keywordsPlace":["Wales","Llyn Brianne"],"keywordsProject":["Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS)"],"keywordsOther":["Sugar","Control","freshwater bacterial biofilm communities","lake","peat","ecosystem resilience","dissolved organic carbon","biological diversity"],"licence":"Open government licence","lineage":"Dissolved organic carbon (DOC) additions were made to replicate recirculating flumes at three upland streams in mid-Wales. Water and biofilm samples were taken at regular intervals over the following 24-hour period to monitor the effects of carbon addition. Temperature and water oxygen content were also monitored over the course of the experiment. The water samples were analysed for total carbon, inorganic carbon and organic carbon content. Epilithon were taken from unglazed ceramic tiles that had been colonised by epilithon in the river using the tooth-brush method. Samples were frozen immediately after collection. On return to the laboratory, samples were stored at -70 degrees Celsius prior to DNA extractions. Total genomic DNA was extracted from epilithon using the FastDNA (registered trademark) SPIN Kit for soil, incorporating a bead beating step. An extraction kit negative control was included in the sequencing run.\n\nTo test for the presence of DNA, amplifications were carried out in a total volume of 50 microlitre containing 10 microlitre of Polymerase chain reaction P(CR) Mix (Buffer), 0.2 micromolar of each of the forward and reverse primers, 1.5 Uracil (U) of Taq DNA polymerase and 1 microlitre of DNA (approximately 50 nanogram/microliter). Primers 357F (Turner et al. 1999) and 518R (Muyzer et al. 1993) were used for amplification. In addition (these amplifications were carried out by a commercial company - GeneTiCA), the bacterial 16S region was amplified with primers S-D-Bact-0341-b-S-17: CCTACGGGNGGCWGCAG, S-D-Bact-0785-a-A-21: GACTACHVGGGTATCTAATCC (Klindworth et al. 2013). Triplicate Polymerase chain reactions (PCRs) for each sample were cleaned with the AMPure bead method, pooled and sequenced on an Illumina MiSeq v3 (2 x 300 base pairs) (Illumina, Inc., San Diego, USA) with Nextera XT assay chemistry. Polymerase chain reaction (PCR) and sequencing were done by GeneTiCA (Prague, Czech Republic). Samples were double-barcoded to allow 192 samples to be run together; the sequencing run was shared with samples from another experiment.\n\nSequences were quality filtered and grouped into operational taxonomic units (OTUs) using USEARCH and QIIME. Taxonomy was assigned from the Greengenes database. Each row in the OTU table corresponds to an OTU. Column 1 contains the OTU identifiers, columns 2-98 are headed as per the sample IDs in the mapping file; columns 99-105 contain the taxonomic information.","locations":["POLYGON((-3.779 52.115, -3.779 52.161, -3.714 52.161, -3.714 52.115, -3.779 52.115))"],"orcid":["https://orcid.org/0000-0001-9504-3633","https://orcid.org/0000-0003-0386-0586","https://orcid.org/0000-0002-3806-3416","https://orcid.org/0000-0002-4138-3349"],"organisation":["Cardiff University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/df829b9f-c4c5-4e53-9217-c9c1e5bd078d","10.5285/df829b9f-c4c5-4e53-9217-c9c1e5bd078d"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Cardiff University"],"ror":["https://ror.org/03kk7td41","https://ror.org/04xw4m193"],"state":"published","title":"Molecular analysis of freshwater bacterial biofilm communities under experimentally manipulated dissolved organic carbon regimes at Llyn Brianne (2014)","version":1.0,"view":["public","phtr"],"shortenedDescription":"These data consist of raw 16S rRNA gene sequences for the bacterial communities in three upland Welsh river sites under different treatments. A mapping file with metadata for each sample is provided and a operational taxonomic unit (OTU) table. These sites were situated..."},{"publicationDate":"2021-04-29T00:00:00.000+00:00","authorAffiliation":["University of the Highlands and Islands","University of Nottingham"],"authorGivenName":["C. ","D.J.","R.","P.","H.P."],"authorFamilyName":["Marshall","Large","Andersen","Gilbert","Sterk"],"authorFullName":["Marshall, C.","Large, D.J.","Andersen, R.","Gilbert, P.","Sterk, H.P."],"catalogue":"eidc","description":"The datasets contains monthly environmental data from HOBO dataloggers which were used to measure precipitation, air temperature, Photosynthetically Active Radiation (PAR), soil moisture, soil temperature and water level relative to surface from 6 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 6 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. \n\nData was obtained every 15 mins between September 2017 and November 2018 covering the 2018 European Drought Event.","documentType":"GEMINI_DOCUMENT","identifier":"1be4eef2-0591-4073-bae2-e00b6ff4462f","incomingCitationCount":0,"givenName":["C. ","D.J.","R.","P.","H.P.","Chris"],"familyName":["Marshall","Large","Andersen","Gilbert","Sterk"],"fullName":["Marshall, C.","Large, D.J.","Andersen, R.","Gilbert, P.","Sterk, H.P."],"keyword":["Flow Country","Water level","peat","atmospheric precipitation","soil moisture"],"keywordsOther":["Flow Country","Water level","peat","atmospheric precipitation","soil moisture"],"licence":"Open government licence","lineage":"All data were generated by the authors. As data was generated, checks were made to ensure accuracy and calibration.","locations":["POLYGON((-5.968 57.159, -5.968 58.785, -1.959 58.785, -1.959 57.159, -5.968 57.159))"],"organisation":["University of the Highlands and Islands","University of Nottingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1be4eef2-0591-4073-bae2-e00b6ff4462f","10.5285/1be4eef2-0591-4073-bae2-e00b6ff4462f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of the Highlands and Islands"],"ror":["https://ror.org/04xw4m193","https://ror.org/02s08xt61"],"state":"published","title":"Environmental monitoring data from upland and lowland blanket peatland in the Flow Country, Scotland, 2017-2019","version":1.0,"view":["public","clwe"],"shortenedDescription":"The datasets contains monthly environmental data from HOBO dataloggers which were used to measure precipitation, air temperature, Photosynthetically Active Radiation (PAR), soil moisture, soil temperature and water level relative to surface from 6 points in 1km2 of..."},{"publicationDate":"2016-04-21T00:00:00.000+00:00","authorAffiliation":["University of Essex"],"authorGivenName":["G.","C.","D.","L."],"authorFamilyName":["Leung","Whitby","Nedwell","Dong"],"authorFullName":["Leung, G.","Whitby, C.","Nedwell, D.","Dong, L."],"authorRor":["https://ror.org/02nkf1q06"],"catalogue":"eidc","description":"Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification and mineralization rates. Data were collected between February 2013 and November 2014. Data were collected to address the hypotheses of how the functional microbial community involved in carbon and nitrogen cycling changed seasonally and with geology. Data were collected as part of the project \"The role of lateral exchange in modulating the seaward flux of C, N, P\", funded under NERC's Macronutrients Cycles research programme. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/J012106/1"],"identifier":"83f83414-f644-4684-ad5b-e1237fb12fc5","incomingCitationCount":0,"givenName":["Scott","G.","C.","D.","L."],"familyName":["Warren","Leung","Whitby","Nedwell","Dong"],"fullName":["Warren, S.","Leung, G.","Whitby, C.","Nedwell, D.","Dong, L."],"keyword":["acetate","flouride","formate","magnesium","potassium","sodium","archaea","methane production potential","methane oxidation potential","mineralisation","carbon cycle","nitrogen cycle","denitrification","nitrification","bacterium","calcium","ammonium","sulphate","phosphate","nitrite","nitrate","carbon"],"keywordsOther":["acetate","flouride","formate","magnesium","potassium","sodium","archaea","methane production potential","methane oxidation potential","mineralisation","carbon cycle","nitrogen cycle","denitrification","nitrification","bacterium","calcium","ammonium","sulphate","phosphate","nitrite","nitrate","carbon"],"licence":"Open government licence","lineage":"At each site, 9 soil samples were taken within a 40 x 40 m transect at 20 m intervals. From these samples, sub-samples were taken and stored differently depending on what analysis was done. All data were collected using standard methodologies as detailed in the supporting information.","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"organisation":["University of Essex","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/83f83414-f644-4684-ad5b-e1237fb12fc5","10.5285/83f83414-f644-4684-ad5b-e1237fb12fc5"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/02nkf1q06","https://ror.org/04xw4m193"],"state":"published","title":"Carbon and nitrogen cycling in chalk, greensand and clay soils over a seasonal cycle in the Hampshire Avon catchment","version":1.0,"view":["public","hajd"],"shortenedDescription":"Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification..."},{"publicationDate":"2018-03-19T00:00:00.000+00:00","authorAffiliation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","Queen's University Belfast"],"authorGivenName":["E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","R.","T.","M."],"authorFamilyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley","Griffiths","McDonald","Caruso","Ilardi"],"authorFullName":["Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S.","Griffiths, R.","McDonald, R.","Caruso, T.","Ilardi, M."],"authorOrcid":["https://orcid.org/0000-0001-7513-2006","https://orcid.org/0000-0003-2912-6339","https://orcid.org/0000-0002-5280-5148","https://orcid.org/0000-0002-5131-0127","https://orcid.org/0000-0003-3263-3702","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-3607-9609"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/00hswnk62"],"catalogue":"eidc","description":"This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2016 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/J014680/1"],"identifier":"e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6","incomingCitationCount":0,"givenName":["Ellen","E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","R.","T.","M."],"familyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley","Griffiths","McDonald","Caruso","Ilardi"],"fullName":["Fry, E.","Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S.","Griffiths, R.","McDonald, R.","Caruso, T.","Ilardi, M."],"keyword":["Salisbury Plain","Wessex BESS","PAR","ecosystem respiration","net ecosystem CO2 exchange","nitrous oxide","methane","carbon dioxide","photosynthesis","ammonium","nitrate","bulk density","soil moisture"],"keywordsPlace":["Salisbury Plain"],"keywordsProject":["Wessex BESS"],"keywordsOther":["PAR","ecosystem respiration","net ecosystem CO2 exchange","nitrous oxide","methane","carbon dioxide","photosynthesis","ammonium","nitrate","bulk density","soil moisture"],"licence":"Open government licence","lineage":"For greenhouse gas exchange flux, a time series correlation was calculated and low correlations removed (<70%). Outliers were also removed at the beginning and end of sample where appropriate. Calibrations at two levels were done for methane gas flux (at 14, and 33 ppm), carbon dioxide gas flux (at 500 and 1000 ppm) and nitrous oxide gas flux (at 200 and 370 ppm). For soil extractable nitrate and ammonium using potassium chloride and water, the analysis used 5% analytical replicates, recalibration (at 5, 4, 3, 2 and 1 ppm) and blanks every 20 samples. For carbon and nitrogen extracted from ground soil extracts standards (acetanilide) and blanks were run every 20 samples. Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.","locations":["POLYGON((-2.08 50.986, -2.08 50.998, -2.063 50.998, -2.063 50.986, -2.08 50.986))"],"orcid":["https://orcid.org/0000-0001-7513-2006","https://orcid.org/0000-0003-2912-6339","https://orcid.org/0000-0002-5280-5148","https://orcid.org/0000-0002-5131-0127","https://orcid.org/0000-0003-3263-3702","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0002-5757-7420","https://orcid.org/0000-0002-3607-9609"],"organisation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","Queen's University Belfast","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6","10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/00hswnk62","https://ror.org/04xw4m193"],"state":"published","title":"Ecosystem functions and vegetation data for Winklebury Hill, Salisbury Plain, UK 2016","version":1.0,"view":["public","shar1"],"shortenedDescription":"This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey..."},{"publicationDate":"2021-03-11T00:00:00.000+00:00","authorAffiliation":["University of Reading","UK Centre for Ecology & Hydrology","University of Birmingham"],"authorGivenName":["James M. W.","L.M.","B.","N.","E.","C.","R.D."],"authorFamilyName":["Ryalls","Bromfield","Langford","Mullinger","Nemitz","Pfrang","Girling"],"authorFullName":["Ryalls, J.M.W.","Bromfield, L.M.","Langford, B.","Mullinger, N.","Nemitz, E.","Pfrang, C.","Girling, R.D."],"authorOrcid":["https://orcid.org/0000-0003-2015-3605","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0001-8816-8075"],"authorRor":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03angcq70"],"catalogue":"eidc","description":"The dataset contains concentrations of nitrogen oxides (NO and NO2, collectively NOx) and ozone (O3), frequencies of insect pollinators and flower visits and yield metrics of Brassica nigra plants collected from within eight field-based fumigation rings located at the University of Reading's Sonning Farm, UK.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P002404/1"],"identifier":"d2e0cf65-010c-4206-8302-195449d0acba","incomingCitationCount":1,"givenName":["James M. W.","L.M.","B.","N.","E.","C.","R.D."],"familyName":["Ryalls","Bromfield","Langford","Mullinger","Nemitz","Pfrang","Girling"],"fullName":["Ryalls, J.M.W.","Bromfield, L.M.","Langford, B.","Mullinger, N.","Nemitz, E.","Pfrang, C.","Girling, R.D."],"keyword":["Pollution","Free-Air Diesel","Ozone Enrichment","FADOE","insect pollinator","odour cues","pollination","United Kingdom","atmospheric chemistry","volatile organic compound","troposphere","nitrogen oxides","insect","air pollution","Brassica nigra","black mustard"],"keywordsTheme":["Pollution"],"keywordsOther":["Free-Air Diesel","Ozone Enrichment","FADOE","insect pollinator","odour cues","pollination","United Kingdom","atmospheric chemistry","volatile organic compound","troposphere","nitrogen oxides","insect","air pollution","Brassica nigra","black mustard"],"licence":"Open government licence","lineage":"Data were obtained over two summer seasons (2018 and 2019). Analysers located in a field control unit were used to collect real-time NOx and O3 concentrations using an automated switching system. Field-based insect pollinator and flower visitation frequencies were observational. Brassica nigra plants were cut to ground level and measured in the lab to obtain yield and pollination metrics.","locations":["POLYGON((-0.906 51.472, -0.906 51.474, -0.903 51.474, -0.903 51.472, -0.906 51.472))"],"orcid":["https://orcid.org/0000-0003-2015-3605","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0001-8816-8075"],"organisation":["University of Reading","UK Centre for Ecology & Hydrology","University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d2e0cf65-010c-4206-8302-195449d0acba","10.5285/d2e0cf65-010c-4206-8302-195449d0acba"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"state":"published","title":"Nitrogen oxide and ozone concentrations, pollinator visitation frequencies and yield metrics of Brassica nigra in fumigation rings, Sonning, UK, 2018-2019","topic":["0/Pollution/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The dataset contains concentrations of nitrogen oxides (NO and NO2, collectively NOx) and ozone (O3), frequencies of insect pollinators and flower visits and yield metrics of Brassica nigra plants collected from within eight field-based fumigation rings located at the..."},{"publicationDate":"2024-05-22T00:00:00.000+00:00","authorAffiliation":["University of Amsterdam","University of Manchester","Bangor university"],"authorGivenName":["F.T.","C.G.","R.I."],"authorFamilyName":["de Vries","Knight","Griffiths"],"authorFullName":["de Vries, F.T.","Knight, C.G.","Griffiths, R.I."],"authorOrcid":["https://orcid.org/0000-0002-6822-8883","https://orcid.org/0000-0001-9815-4267","https://orcid.org/0000-0002-3341-4547"],"catalogue":"eidc","description":"This dataset comprises soil and environmental data for multiple European grassland soil samples which had been subjected to multiple climatic disturbances in the laboratory (including temporal responses to heat, freezing, flooding and drought). The data include information on sample provenance (site, replicate, treatments imposed, site description, etc.); measured metrics including functional measures (greenhouse gas fluxes, enzymes) and soil properties; and accession numbers for molecular data submitted to the European Nucleotide Archive. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P01206X/1"," NE/P011551/1"],"identifier":"4ff83dca-b836-469c-864d-69a34ff904f9","incomingCitationCount":0,"givenName":["F.T.","C.G.","R.I.","Rob"],"familyName":["de Vries","Knight","Griffiths"],"fullName":["de Vries, F.T.","Knight, C.G.","Griffiths, R.I.","Griffiths, R."],"keyword":["soil","Soil sampling","Grassland microbes","Soil chemical analyses","Soil biological analyses","Soil functional analyses","Soil physical analyses","Soil functions"],"keywordsOther":["soil","Soil sampling","Grassland microbes","Soil chemical analyses","Soil biological analyses","Soil functional analyses","Soil physical analyses","Soil functions"],"licence":"Open government licence","lineage":"This dataset encompasses metadata and measurements from an experiment imposing four different climatic disturbances to soils collected from 30 European grassland sites, covering a wide range of soil types and climatic conditions. Under controlled lab conditions, samples of each soil were subjected to either a two-week drought (10% Water Holding Capacity (WHC)), flooding (100% WHC), freezing (-20°C), or heatwave (35°C), alongside a control treatment, followed by a month of recovery. We assessed the response of microbial communities at the end of the disturbance, and one day, one week, and four weeks after ending the disturbance, by whole-genome metagenomic, bacterial and fungal sequencing. We assessed soil functioning by measuring microbial enzymatic activities, substrate-induced respiration profiles, and carbon and nitrogen fluxes. The dataset contains detailed information on initial sites sampled, treatments imposed, measurements recorded as well as European Nucleotide Archive accession numbers for the molecular data produced.","locations":["POLYGON((-5.5 40, -5.5 61.5, 29.5 61.5, 29.5 40, -5.5 40))"],"orcid":["https://orcid.org/0000-0002-6822-8883","https://orcid.org/0000-0001-9815-4267","https://orcid.org/0000-0002-3341-4547"],"organisation":["University of Amsterdam","University of Manchester","Bangor university","Bangor University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4ff83dca-b836-469c-864d-69a34ff904f9","10.5285/4ff83dca-b836-469c-864d-69a34ff904f9"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/04xw4m193"],"state":"published","title":"Physical, chemical and biological properties of European grassland soils subjected to laboratory climatic disturbance","version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset comprises soil and environmental data for multiple European grassland soil samples which had been subjected to multiple climatic disturbances in the laboratory (including temporal responses to heat, freezing, flooding and drought). The data include information..."},{"publicationDate":"2020-02-03T00:00:00.000+00:00","authorAffiliation":["University of Brighton","Exeter University","University of Hull","University of Birmingham","National Oceanography Centre, Liverpool"],"authorGivenName":["P.","A. ","D.","G.","C."],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith","Unsworth"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G.","Unsworth, C."],"authorOrcid":["https://orcid.org/0000-0002-3707-1182"],"catalogue":"eidc","description":"Data were collected in 2017, to provide information on spatial patterns of dune migration rates and associated water flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery. Bedform crests were digitised in individual images, and average dune migration rates were calculated from the mean migration distance between image pairs, divided by the time between image collection. Water depth and velocity data were collected using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted on a small zodiac boat. The position of the aDcp was recorded using a RTK dGPS system. Data were collected on 12th June 2017 as part of NERC project NE/L00738X/1","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L00738X/1"],"identifier":"864434b7-2102-4edc-802d-ebdbfe9ff766","incomingCitationCount":0,"givenName":["P.","A. ","D.","G.","C.","Andrew"],"familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith","Unsworth"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G.","Unsworth, C."],"keyword":["Canada","Mapping","Environmental survey","dune","flowing water"],"keywordsPlace":["Canada"],"keywordsTheme":["Mapping","Environmental survey"],"keywordsOther":["dune","flowing water"],"licence":"Open government licence","lineage":"Data were collected to provide information on spatial patterns of dune migration rates and associated flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery with flight lines completed on a grid pattern with 80% lateral and longitudinal overlap between images. Orthomosaics were constructed from these images using the SfM program Pix4D (https://pix4d.com/). Multiple flights were flown at 1 hour intervals (maximum of five epochs in a day) to allow tracking of bedforms. Image Ground Sampling Distance (GSD) was typically 0.025–0.03 m. Bedform crests were digitised in individual images, and average dune migration rates were calculated from the mean migration distance between image pairs, divided by the time between image collection. Data were collected on 12th June 2017.\n\nWater depth and velocity data were collected using a Sontek M9 acoustic Doppler current profiler (aDcp) mounted on a small zodiac boat. The position of the aDcp was recorded using a RTK dGPS system.  Velocities are calculated relative to the instrument head and are corrected using the dGPS calculated boat speed and heading. The aDcp data were collected in pulse coherent mode, averaging 7 pings per second, and were averaged to 1 Hz to improve the signal-to-noise ratio. The M9 uses 9 transducers at frequencies between 0.5 and 3.0 MHz. Data were collected along cross-sections of the river that extended between both banks and were aligned approximately perpendicular to the downstream flow direction.\n","locations":["POLYGON((-110.919 52.403, -110.919 55.875, -101.645 55.875, -101.645 52.403, -110.919 52.403))"],"orcid":["https://orcid.org/0000-0002-3707-1182"],"organisation":["University of Brighton","Exeter University","University of Hull","University of Birmingham","National Oceanography Centre, Liverpool","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/864434b7-2102-4edc-802d-ebdbfe9ff766","10.5285/864434b7-2102-4edc-802d-ebdbfe9ff766"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"state":"published","title":"Dune migration measurements on the South Saskatchewan River, Canada, 2017","topic":["0/Mapping/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Data were collected in 2017, to provide information on spatial patterns of dune migration rates and associated water flow characteristics, at locations on the South Saskatchewan River, Canada. Dune migration rates were measured using repeat aerial imagery. Bedform crests..."},{"publicationDate":"2024-08-08T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorGivenName":["P.E.","E.J.","C.","A.","R.I.","M.","J.","S.J.","Y.S.","J.R.","D.S."],"authorFamilyName":["Levy","Carnell","Martin Hernandez","Vigier","Smith","Vieno","Scheffler","Tomlinson","Tang","Stedman","Leaver","Caporusso"],"authorFullName":["Levy, P.E.","Carnell, E.J.","Martin Hernandez, C.","Vigier, A.","Smith, R.I.","Vieno, M.","Scheffler, J.","Tomlinson, S.J.","Tang, Y.S.","Stedman, J.R.","Leaver, D.S.","Caporusso, C."],"authorOrcid":["https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0009-0003-9594-0299","https://orcid.org/0000-0001-6798-409X","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2020 to 2022. \n\nThe data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. \n\nHabitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (DEFRA) contracts.\n","documentType":"GEMINI_DOCUMENT","funder":["Department for Environment Food and Rural Affairs"],"identifier":"d356bddc-fd06-466a-a206-639711bba7f2","incomingCitationCount":0,"givenName":["P.E.","E.J.","C.","A.","R.I.","M.","J.","S.J.","Y.S.","J.R.","D.S.","Claudia"],"familyName":["Levy","Carnell","Martin Hernandez","Vigier","Smith","Vieno","Scheffler","Tomlinson","Tang","Stedman","Leaver","Caporusso"],"fullName":["Levy, P.E.","Carnell, E.J.","Martin Hernandez, C.","Vigier, A.","Smith, R.I.","Vieno, M.","Scheffler, J.","Tomlinson, S.J.","Tang, Y.S.","Stedman, J.R.","Leaver, D.S.","Caporusso, C."],"keyword":["Climate and climate change","nitrogen","deposition","sulphur"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["nitrogen","deposition","sulphur"],"licence":"Open government licence","lineage":"The Concentration Based Estimated Deposition (CBED) methodology generates maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network. The site-based measurements are first interpolated to generate maps of concentrations for the UK. The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition. Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban. The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the grid square, to generate values for grid square averaged deposition. Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation. For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats. \n\nData processing was done using the R programme and results output as CSV files. These were then transformed in a suitable format for ingestion into the Environmental Information Data Centre.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0009-0003-9594-0299","https://orcid.org/0000-0001-6798-409X","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596"],"organisation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC EDS Environmental Information Data Centre","DEFRA"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d356bddc-fd06-466a-a206-639711bba7f2","10.5285/d356bddc-fd06-466a-a206-639711bba7f2"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["DEFRA"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00tnppw48"],"state":"published","title":"Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK, 2020-22","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2020 to 2022. \n\nThe data consist of deposition values for sulphur, oxidised..."},{"publicationDate":"2022-02-07T00:00:00.000+00:00","catalogue":"eidc","description":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all scheme data up to the year of publication.\n\nDatasets currently available for download include: annual site level indices of abundance, UK and country-level collated indices of abundance, UK trends in abundance and phenology data for all commonly occurring UK butterfly species on monitored sites across the UK since 1976, as well as annually updated site location data for all UKBMS sites. Access to other data should be requested directly via the UKBMS website - https://www.ukbms.org\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation, the UK Centre for Ecology & Hydrology, British Trust for Ornithology, and the Joint Nature Conservation Committee. The UKBMS is indebted to all volunteers who contribute data to the scheme.","documentType":"GEMINI_DOCUMENT","identifier":"f0275384-1ada-4eae-9a2e-26dfa4013852","incomingCitationCount":0,"givenName":["Marc"],"familyName":["Botham"],"fullName":["Botham, M."],"keyword":["Lepidoptera","butterflies","Biodiversity"],"keywordsOther":["Lepidoptera","butterflies","Biodiversity"],"licence":"Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f0275384-1ada-4eae-9a2e-26dfa4013852"],"resourceStatus":"Unknown","resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"state":"published","title":"United Kingdom Butterfly Monitoring Scheme (UKBMS) 1976-2020 data","version":1.0,"view":["public","margla"],"shortenedDescription":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all..."},{"publicationDate":"2023-04-21T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen","Instituto de Ecología Regional (CONICET-Universidad Nacional de Tucumán)"],"authorGivenName":["Pablo","Priscila Ana","X."],"authorFamilyName":["García Díaz","Powell","Lambin"],"authorFullName":["García Díaz, P.","Powell, P.A.","Lambin, X."],"authorOrcid":["https://orcid.org/0000-0001-5402-0611","https://orcid.org/0000-0003-3911-0912","https://orcid.org/0000-0003-4643-2653"],"authorRor":["https://ror.org/016476m91"],"catalogue":"eidc","description":"Data containing information on a study of the impact of Storm Arwen on biodiversity and forest structure of Kielder Forest (Northumberland), May-July 2022. The following are included:\n (i) fallen timber found along 100 m transects (species, tree circumference, and whether it was flat on the ground);\n (ii) trees found inside 10x10-m plots (species; diameter at breast height [DAP]; status [alive vs dead]; and whether the tree was still standing);\n (iii) plant cover and richness in 2x2 m quadrats (Braun-Blanquet cover and plant species present);\n (iv) spatial data (GIS layers and buffers around survey and sampling sites); and\n (v) bird point counts (species detected and distances to each individual recorded)\n\nSurveys were conducted at twelve control-impact pairs (24 sites in total), whereby impact sites were those severely affected by Storm Arwen. Within each site, we carried out one 100 m transect, three 10x10 m plots, three 2x2 m quadrats, and two to four bird point counts depending on the size of the site","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/X001997/"],"identifier":"9f914e5b-958d-49a8-a5bf-86c35d865257","incomingCitationCount":0,"givenName":["Pablo","Priscila Ana","X."],"familyName":["García Díaz","Powell","Lambin"],"fullName":["García Díaz, P.","Powell, P.A.","Lambin, X."],"keyword":["Kielder","Northumberland","Bird count","storm Arwen","buffer","diameter at breast height","forest inventory plot","GIS","natural experiment","Picea abies","Sitka spruce","Picea sitchensis","Norway spruce","plant quadrat","windblown","timber","National Forest Estate Subcompartments England 2019"],"keywordsPlace":["Kielder","Northumberland"],"keywordsOther":["Bird count","storm Arwen","buffer","diameter at breast height","forest inventory plot","GIS","natural experiment","Picea abies","Sitka spruce","Picea sitchensis","Norway spruce","plant quadrat","windblown","timber","National Forest Estate Subcompartments England 2019"],"licence":"Open government licence","lineage":"We investigated the impact of storm Arwen (November-2021) on the forest structure and biodiversity of Kielder (Northumberland, UK) via 100-m transects, 10x10 m plots, 2x2 m quadrats, and bird point counts at twelve paired windblown and control sites (24 sites in total). All our survey site locations were obtained from a handheld GPS device.\n\nWe counted and measured all fallen trees found along a 100 m transect within each site. We measured the perimeter of each fallen tree three times to allow for volume estimation. Along each transect, we deployed three 10x10-m plots where we counted and measured the diameter at breast height of trees. These plots were placed at 0-10, 50-60, and 90-100 metres along the transect. We visually estimated the cover of grasses, ferns, mosses, fungi, and lichens using the Braun-Blanquet scale inside 2x2 m quadrats at 0-2, 50-52, and 90-92 along our 100 m transects. We also inventoried plant species found within these 2x2 m quadrats. Plants, including trees, were identified using field guides and keys and supported occasionally with photographic-aided identification using the iNaturalist application (https://www.inaturalist.org/observations).\n\nFor estimating bird richness and abundance, we conducted 2-4 bird point counts within each site between 6 and 10:30 am. During each count, an observer stayed in one spot for 5 minutes and recorded all birds they saw or heard, assigning them to one of five distance categories (0-10 metres; 10-20 metres; 20-30 metres; 30-40 metres; and 40-50 metres). All birds beyond 50 metres were not counted. This was done by either estimating the distance or using a Bushnell Golf Rangefinder. Only those detections that could be identified at the species level were included. All bird point counts were repeated twice to ensure the detection of all species using the survey sites.","locations":["POLYGON((-2.747 55.071, -2.747 55.296, -2.324 55.296, -2.324 55.071, -2.747 55.071))"],"orcid":["https://orcid.org/0000-0001-5402-0611","https://orcid.org/0000-0003-3911-0912","https://orcid.org/0000-0003-4643-2653"],"organisation":["University of Aberdeen","Instituto de Ecología Regional (CONICET-Universidad Nacional de Tucumán)","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f914e5b-958d-49a8-a5bf-86c35d865257","10.5285/9f914e5b-958d-49a8-a5bf-86c35d865257"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"state":"published","title":"Forest structure, composition and bird counts in windblown and control sites in Kielder Forest, Northumberland, UK, May-July 2022","version":1.0,"view":["public","tinzha"],"shortenedDescription":"Data containing information on a study of the impact of Storm Arwen on biodiversity and forest structure of Kielder Forest (Northumberland), May-July 2022. The following are included:\n (i) fallen timber found along 100 m transects (species, tree circumference, and whether..."},{"publicationDate":"2021-05-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","University of Botswana"],"authorGivenName":["C.","M.","U."],"authorFamilyName":["Helfter","Gondwe","Skiba"],"authorFullName":["Helfter, C.","Gondwe, M.","Skiba, U."],"authorOrcid":["https://orcid.org/0000-0001-5773-4652","https://orcid.org/0000-0002-2607-5399","https://orcid.org/0000-0001-8659-6092"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01encsj80"],"catalogue":"eidc","description":"The data resource consists of half hourly time series of heat (latent and sensible) and trace gas (carbon dioxide and methane) fluxes obtained by eddy-covariance, gas concentrations and ancillary meteorological data (e.g. air temperature, relative humidity, pressure, photosynthetically active radiation, total incoming radiation, wind speed and direction). The data were collected at Guma Lagoon (18°57'53.01\"S;  22°22'16.20\"E), in the perennially flooded area of the Okavango Delta, Botswana, for the purpose of quantifying greenhouse gas fluxes over a Cyperus papyrus stand. The measurement period was 01/01/2018 to 31/12/2020. The instrumentation was installed the UK Centre for Ecology and Hydrology; monthly maintenance and data collection visits were effected by the Okavango Research Institute, University of Botswana.\n\nThe research was funded through NERC grant reference NE/N015746/2 - The Global Methane Budget.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N015746/2"],"identifier":"d366ed40-af8c-42be-86f2-bb90b11a659e","incomingCitationCount":1,"givenName":["C.","M.","U."],"familyName":["Helfter","Gondwe","Skiba"],"fullName":["Helfter, C.","Gondwe, M.","Skiba, U."],"keyword":["Botswana","Okavango Deleta","Africa","Climate and climate change","greenhouse gas","methane","Cyperus papyrus","Papyrus sedge","wetland","Permanent wetland"],"keywordsPlace":["Botswana","Okavango Deleta","Africa"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["greenhouse gas","methane","Cyperus papyrus","Papyrus sedge","wetland","Permanent wetland"],"licence":"Open government licence","lineage":"Raw data from the eddy-covariance instrumentation were processed into half-hourly fluxes using the EddyPro software package version 7.0.6 and quality controlled by Dr Helfter. An automatic weather station recorded recorded air temperature, pressure, relative humidity, wind speed and wind direction, total solar radiation and photosynthetically active radiation (PAR).\nData from both instruments were downloaded, processed and deposited into the EIDC as a comma separted value (.csv) file.","locations":["POLYGON((21.451 -20.128, 21.451 -18.48, 23.593 -18.48, 23.593 -20.128, 21.451 -20.128))"],"orcid":["https://orcid.org/0000-0001-5773-4652","https://orcid.org/0000-0002-2607-5399","https://orcid.org/0000-0001-8659-6092"],"organisation":["UK Centre for Ecology & Hydrology","University of Botswana","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d366ed40-af8c-42be-86f2-bb90b11a659e","10.5285/d366ed40-af8c-42be-86f2-bb90b11a659e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01encsj80","https://ror.org/04xw4m193"],"state":"published","title":"Methane and carbon dioxide fluxes from a permanent wetland in the Okavango Delta, Botswana, 2018-2020","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"The data resource consists of half hourly time series of heat (latent and sensible) and trace gas (carbon dioxide and methane) fluxes obtained by eddy-covariance, gas concentrations and ancillary meteorological data (e.g. air temperature, relative humidity, pressure,..."},{"publicationDate":"2020-06-22T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion.  It is provided as a 2-band, 8-bit integer raster.  The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence.  For a fuller description please refer to the product documentation.  \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","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"f6b551ea-e079-4150-b13c-b5f89f5dbaa6","incomingCitationCount":1,"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"keyword":["Land cover","Mapping","UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The 20m Classified Pixels datasets are the most spatially detailed in LCM2017, LCM2018 and LCM2019 product range. All other datasets were derived from these. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They result from automatic Random Forest classifications of partially overlapping, rectangular classification scenes and are given as 8-bit, 2-band integer 20m pixel rasters. Band-1 is the most likely land cover class, band-2 is the classification probability associated with this class, rescaled over the interval 0 to 100. Classification scenes comprised per-season Sentinel-2 median top of atmosphere reflectance values resampled to 20m pixel resolution, derived using the Google Earth Engine, combined with regional context layers (for example: terrain, coastal proximity). Overlapping classification results were visually ranked to determine precedence. The best classifications were compiled to form seamless national products for Great Britain and Northern Ireland. Classification used bespoke software integrated with a PostGis spatial database. The 20m rasters were exported from PostGIS using open source gdal tools to give the final product in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6b551ea-e079-4150-b13c-b5f89f5dbaa6","10.5285/f6b551ea-e079-4150-b13c-b5f89f5dbaa6"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2017 (20m classified pixels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats...."},{"publicationDate":"2021-09-07T00:00:00.000+00:00","authorAffiliation":["Botswana Department of Water and Sanitation","University of Aberdeen"],"authorGivenName":["A."," J.-C."],"authorFamilyName":["Petros","Comte"],"authorFullName":["Petros, A.","Comte, J.-."],"authorOrcid":["https://orcid.org/0000-0002-5129-8391"],"authorRor":["https://ror.org/016476m91"],"catalogue":"eidc","description":"The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained from manual sampling of 22 boreholes; and (2) higher temporal resolution (5-min time-step) timeseries of water table depth, groundwater temperature and electrical conductivity obtained from automatic dataloggers in 3 of the abovementioned boreholes.","documentType":"GEMINI_DOCUMENT","identifier":"40a80d95-5a8a-4586-aa24-d6c87f9968b6","incomingCitationCount":0,"givenName":["A."," J.-C.","Jean-Christophe"],"familyName":["Petros","Comte"],"fullName":["Petros, A.","Comte, J.-.","Comte, J."],"keyword":["Borehole","Physico-chemical parameters","Timeseries","Temperature","pH","Total dissolved solids","groundwater","electrical conductivity","water table","hydrogeology","physicochemical analysis"],"keywordsOther":["Borehole","Physico-chemical parameters","Timeseries","Temperature","pH","Total dissolved solids","groundwater","electrical conductivity","water table","hydrogeology","physicochemical analysis"],"licence":"Open government licence","lineage":"Manual water table depth measurements during the near-monthly campaigns were done in situ using a standard groundwater dipmeter. Manual groundwater pH, temperature, electrical conductivity and total dissolved solids measurements (Strategy 1) were obtained on pumped grab groundwater samples from borehole taps.\nAutomatic loggers immersed in a selection of three boreholes provided high-temporal resolution (5-min) groundwater level, temperature, electrical conductivity data (Strategy 2). Raw groundwater levels were provided in meter equivalent freshwater head above the logger, later converted in depth in Excel through two sequential processing steps: (1) barometric compensation, from a barometric sensor installed; (2) depth correction using the manual depth measurements (Strategy 1) and applying linear interpolation between measurement dates.\nDatasets were post-process through removal of obvious measurement errors, including human errors when writing up values on field notebook and anomalous datalogger records associated to sensor extraction from the well.\n","locations":["POLYGON((25.25 -25.296, 25.25 -24.677, 25.981 -24.677, 25.981 -25.296, 25.25 -25.296))"],"orcid":["https://orcid.org/0000-0002-5129-8391"],"organisation":["Botswana Department of Water and Sanitation","University of Aberdeen","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40a80d95-5a8a-4586-aa24-d6c87f9968b6","10.5285/40a80d95-5a8a-4586-aa24-d6c87f9968b6"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"state":"published","title":"Groundwater monitoring data following 2016-2017 extreme rainfall and floods in the Gaborone catchment, Upper Limpopo basin, Botswana","version":1.0,"view":["public","clwe"],"shortenedDescription":"The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained..."},{"publicationDate":"2025-03-21T00:00:00.000+00:00","authorAffiliation":["University of Nottingham"],"authorGivenName":["L.","A.D.C.M."],"authorFamilyName":["Dean","MacColl"],"authorFullName":["Dean, L.","MacColl, A.D.C.M."],"authorOrcid":["https://orcid.org/0000-0002-4711-0931","https://orcid.org/0000-0003-2102-6130"],"authorRor":["https://ror.org/01ee9ar58"],"catalogue":"eidc","description":"This dataset contains phenotypic information for three-spined stickleback (Gasterosteus aculeatus) that were raised from a single marine x freshwater cross from populations on North Uist, Scottish Outer Hebrides for approximately 5 generations in a freshwater pond in Nottinghamshire, UK. The fish were then used in a quantitative trait loci (QTL) experiment to determine the genomic regions associated with various phenotypic traits in the fish. The phenotypic information includes body length, body weight, sex, whether species of the parasite Schistocephalus was observed in the body cavity, and the composition of the body of the fish (determined by ICPMass Spectromotry) including the following elements: B, Na, Mg, P, S, K, Ca, Ti, Li, Be, Al, V\t, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Ag, Cd, Cs, Ba, Tl, Pb, U","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R00935X/1"],"identifier":"e7797949-8b96-423e-870e-69e8314dbe90","incomingCitationCount":0,"givenName":["L.","A.D.C.M."],"familyName":["Dean","MacColl"],"fullName":["Dean, L.","MacColl, A.D.C.M."],"keyword":["Phenotypic plasticity","bony armour","stickleback","phenotype","fish","morphology","Gasterosteus aculeatus"],"keywordsOther":["Phenotypic plasticity","bony armour","stickleback","phenotype","fish","morphology","Gasterosteus aculeatus"],"licence":"Open government licence","lineage":"Data were collected between October and December 2022 in Aquaria at the University Park campus of the University of Nottingham. Fish were euthanised using an overdose of anaesthetic (MS222). Each fish was blotted to remove excess water, photographed using a Nikon digital SLR camera, weighed to the nearest milligram using a fine balance, and fish length was measured (from the tip of the snout to the tip of the caudal peduncle) to the nearest millimetre using handheld callipers. Fish heads were removed by dissection, sex was determined by dissection of the body and the body was then freeze dried and used to determine the elemental composition of the individual using Inductively coupled plasma mass spectrometry (ICP-MS).","orcid":["https://orcid.org/0000-0002-4711-0931","https://orcid.org/0000-0003-2102-6130"],"organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e7797949-8b96-423e-870e-69e8314dbe90","10.5285/e7797949-8b96-423e-870e-69e8314dbe90"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"state":"published","title":"Phenotypic data, elemental composition and photographs of three-spined sticklebacks from quantitative trait locus (QTL) experiments","version":1.0,"view":["public","glenn"],"shortenedDescription":"This dataset contains phenotypic information for three-spined stickleback (Gasterosteus aculeatus) that were raised from a single marine x freshwater cross from populations on North Uist, Scottish Outer Hebrides for approximately 5 generations in a freshwater pond in..."},{"publicationDate":"2020-04-03T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","University of Leicester","University of Bangor"],"authorGivenName":["A.M.J.","T.R.","S.J.","H.","C.","D.","J.","R.D.","S.E."],"authorFamilyName":["Cumming","Newman","Benson","Balzter","Evans","Jones","Kaduk","Morrison","Page"],"authorFullName":["Cumming, A.M.J.","Newman, T.R.","Benson, S.J.","Balzter, H.","Evans, C.","Jones, D.","Kaduk, J.","Morrison, R.D.","Page, S.E."],"authorOrcid":["https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-0361-0774","https://orcid.org/0000-0002-9053-4684","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-1482-4209","https://orcid.org/0000-0003-4051-3081","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-3392-9241"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04h699437","https://ror.org/006jb1a24"],"catalogue":"eidc","description":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) for a managed lowland deep peat soil in the East Anglian Fens, England, UK. The site is managed for the production of horticultural salad crops. Measurements were made between the 22nd June 2012 and 1st January 2020 during which lettuce, leek, celery, sugar beet and potatoes crops were grown on the field.\n\nTurbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs"],"grant":["NE/K001590/1","NE/L501839","NE/P014097/1","SP1210","SP1218"],"identifier":"13896773-01e5-48e6-bfab-c319de46b221","incomingCitationCount":0,"givenName":["A.M.J.","T.R.","S.J.","H.","C.","D.","J.","R.D.","S.E.","Alex"],"familyName":["Cumming","Newman","Benson","Balzter","Evans","Jones","Kaduk","Morrison","Page"],"fullName":["Cumming, A.M.J.","Newman, T.R.","Benson, S.J.","Balzter, H.","Evans, C.","Jones, D.","Kaduk, J.","Morrison, R.D.","Page, S.E.","Cumming, A."],"keyword":["Soil","carbon dioxide","sensible heat","latent heat","momentum","carbon dioxide exchange","fen","horticulture","crop production"],"keywordsTheme":["Soil"],"keywordsOther":["carbon dioxide","sensible heat","latent heat","momentum","carbon dioxide exchange","fen","horticulture","crop production"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made using an open-path eddy covariance system. 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Data gaps in EC data (NEE, LE, H) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019).\n\nFurther details are available in the supporting documentation.","locations":["POLYGON((-0.148 51.992, -0.148 53.002, 1.796 53.002, 1.796 51.992, -0.148 51.992))"],"orcid":["https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0002-0361-0774","https://orcid.org/0000-0002-9053-4684","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0002-1482-4209","https://orcid.org/0000-0003-4051-3081","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-3392-9241"],"organisation":["UK Centre for Ecology & Hydrology","University of Leicester","University of Bangor","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/13896773-01e5-48e6-bfab-c319de46b221","10.5285/13896773-01e5-48e6-bfab-c319de46b221"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04h699437","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"state":"published","title":"Eddy Covariance measurements of carbon dioxide, energy and water flux at an intensively cultivated lowland deep peat soil, East Anglia, UK, 2012 to 2020","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) for a managed lowland deep peat soil in the East Anglian Fens, England, UK. 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The data also aim to enhance understanding of farmers’ attitudes, opinion and decision making affecting NUE in crop production and farm related factors which enable adoption of sustainable practices. \nThe data are part of a wider SANH (South Asian Nitrogen Hub) harmonised household survey covering Bangladesh, India, Maldives, Pakistan and Sri Lanka.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S009019/2"],"identifier":"3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3","incomingCitationCount":0,"givenName":["R.","B.","A.","S.","T.","K.","A.R.","S.C.","G.K.","D.","R.N.","V.V.","M.","U.","Z.A.","F.","V.","Toritseju"],"familyName":["Joshi","Nepal","Shrestha","Pokharel","Subodh","Begho","Glenk","Anik","Sharna","Jha","Jena","Subudhi","Giri","Samal","Abbas","Pinnawala","Nissanka","Jayaweera","Wijerathna","Prabavi","Hassan","Rasheed","Shadiya","Fairooza","Avis","Jeffery","Tshering","Dorji","Dendup","Eory"],"fullName":["Joshi, R.","Nepal, B.","Shrestha, R.","Pokharel, A.","Subodh, S.","Begho, T.","Glenk, K.","Anik, A.R.","Sharna, S.C.","Jha, G.K.","Jena, D.","Subudhi, R.N.","Giri, V.V.","Samal, S.","Abbas, A.","Pinnawala, M.","Nissanka, S.","Jayaweera, A.","Wijerathna, M.","Prabavi, U.","Hassan, R.","Rasheed, Z.A.","Shadiya, F.","Fairooza, F.","Avis, K.","Jeffery, R.","Tshering, D.","Dorji, T.","Dendup, S.","Eory, V."],"keyword":["Nepal","South Asia","Agriculture","agricultural economics","agricultural production","compost","crop production","decision making","economics","fertiliser","gender","livestock","manure","nitrogen","nitrogen use efficiency","subsidies","water"],"keywordsPlace":["Nepal","South Asia"],"keywordsTheme":["Agriculture"],"keywordsOther":["agricultural economics","agricultural production","compost","crop production","decision making","economics","fertiliser","gender","livestock","manure","nitrogen","nitrogen use efficiency","subsidies","water"],"licence":"Open government licence","lineage":"The Terai region was purposively selected for the study as agriculture is dominant in the Terai region. 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Enumerators entered farmers’ responses to each question in a pre-prepared template which was then transferred to the CSV data file.\nThe data were prepared for the requirements of the study and made ready for analysis by removing duplicate records, spelling errors, differences in capitalisation and spacing, inconsistent formats, mixed numerical scales and mixed ranges.\n","locations":["POLYGON((80.134 28.012, 80.134 29.138, 86.946 29.138, 86.946 28.012, 80.134 28.012))"],"organisation":["Kathmandu University","Scotland's Rural College","Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU)","Indian Agricultural Statistics Research Institute","KIIT University","University of Agriculture Faisalabad","University of Peradeniya","The Maldives National University","Maldives National University","Ricardo (Harwell)","University of Edinburgh","Royal University of Bhutan","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3","10.5285/3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Scotland's Rural College","Kathmandu University"],"ror":["https://ror.org/036xnae80","https://ror.org/044e2ja82","https://ror.org/03kkevc75","https://ror.org/00k8zt527","https://ror.org/054d77k59","https://ror.org/025h79t26","https://ror.org/00dbrh564","https://ror.org/01nrxwf90","https://ror.org/03hqan520","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Farming household survey for the evaluation of nitrogen options for economic and social benefit in the Terai region of Nepal, 2022","topic":["0/Agriculture/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset holds survey data of individual farming households in the Terai region in Nepal relating to their nitrogen use.  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